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Biology, Volume 13, Issue 4 (April 2024) – 81 articles

Cover Story (view full-size image): Many proteins are glycosylated, for example, on asparagine residues, which can affect protein function in a variety of ways, but can also shield immunogenic sites in viral proteins from the immune system. This is also the case for highly glycosylated SARS-CoV-2 proteins. In this study, different receptor-binding domains (RBDs) of several SARS-CoV-2 variants of concern (VOCs), a subunit of the highly glycosylated spike protein, and the membrane protein, which has not been extensively studied, were produced in human cells and bacteria for the relevant VOCs. The resulting RBDs were analyzed for their N-glycosylation sites by mass spectrometry and for their ability to bind to IgG antibodies produced in response to SARS-CoV-2 infection by ELISA. View this paper
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23 pages, 2745 KiB  
Article
Genomic Diversity and Recombination Analysis of the Spike Protein Gene from Selected Human Coronaviruses
by Sayed Sartaj Sohrab, Fatima Alsaqaf, Ahmed Mohamed Hassan, Ahmed Majdi Tolah, Leena Hussein Bajrai and Esam Ibraheem Azhar
Biology 2024, 13(4), 282; https://doi.org/10.3390/biology13040282 - 22 Apr 2024
Viewed by 1663
Abstract
Human coronaviruses (HCoVs) are seriously associated with respiratory diseases in humans and animals. The first human pathogenic SARS-CoV emerged in 2002–2003. The second was MERS-CoV, reported from Jeddah, the Kingdom of Saudi Arabia, in 2012, and the third one was SARS-CoV-2, identified from [...] Read more.
Human coronaviruses (HCoVs) are seriously associated with respiratory diseases in humans and animals. The first human pathogenic SARS-CoV emerged in 2002–2003. The second was MERS-CoV, reported from Jeddah, the Kingdom of Saudi Arabia, in 2012, and the third one was SARS-CoV-2, identified from Wuhan City, China, in late December 2019. The HCoV-Spike (S) gene has the highest mutation/insertion/deletion rate and has been the most utilized target for vaccine/antiviral development. In this manuscript, we discuss the genetic diversity, phylogenetic relationships, and recombination patterns of selected HCoVs with emphasis on the S protein gene of MERS-CoV and SARS-CoV-2 to elucidate the possible emergence of new variants/strains of coronavirus in the near future. The findings showed that MERS-CoV and SARS-CoV-2 have significant sequence identity with the selected HCoVs. The phylogenetic tree analysis formed a separate cluster for each HCoV. The recombination pattern analysis showed that the HCoV-NL63-Japan was a probable recombinant. The HCoV-NL63-USA was identified as a major parent while the HCoV-NL63-Netherland was identified as a minor parent. The recombination breakpoints start in the viral genome at the 142 nucleotide position and end at the 1082 nucleotide position with a 99% CI and Bonferroni-corrected p-value of 0.05. The findings of this study provide insightful information about HCoV-S gene diversity, recombination, and evolutionary patterns. Based on these data, it can be concluded that the possible emergence of new strains/variants of HCoV is imminent. Full article
(This article belongs to the Special Issue SARS-CoV-2 and Immunology)
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<p>Genome organization of coronaviruses: <b>HCoV</b>: human coronavirus; <b>MERS-CoV</b>: Middle East respiratory syndrome coronavirus; <b>SARS-CoV</b>: severe acute respiratory syndrome coronavirus; <b>SARS-CoV-2</b>: severe acute respiratory syndrome coronavirus 2.</p>
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<p>Phylogeny based on the nucleotide (NT) sequences of the S protein gene of selected HCoVs. The red triangle denotes the SARS-CoV-2 genome sequences from SIAU-KSA.</p>
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<p>Phylogeny constructed by using the nucleotide (NT) sequences of the MERS-CoV-S protein gene with selected HCoVs and without SARS-CoV-1 and SARS-CoV-2. The red triangle denotes the MERS-CoV genome sequences from SIAU-KSA.</p>
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<p>Phylogeny according to the nucleotide (NT) sequences of the SARS-CoV-2-S protein gene with selected HCoVs without MERS-CoV. The red triangle denotes the SARS-CoV-2 genome sequences from SIAU-KSA.</p>
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<p>Phylogeny tree based only on the nucleotide (NT) sequences of the S protein gene of MERS-CoV with SARS-CoV-1 and SARS-CoV-2.</p>
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<p>(<b>a</b>). Recombination pattern and breakpoints of the SARS-CoV-2-S protein gene (MW837148) with selected HCoVs. (<b>b</b>). Recombination events of the SARS-CoV-2-S protein gene (MW837148) with selected HCoVs. (<b>c</b>). Recombination breakpoints of the SARS-CoV-2-S protein gene (MW837148) with selected HCoVs.</p>
Full article ">Figure 6 Cont.
<p>(<b>a</b>). Recombination pattern and breakpoints of the SARS-CoV-2-S protein gene (MW837148) with selected HCoVs. (<b>b</b>). Recombination events of the SARS-CoV-2-S protein gene (MW837148) with selected HCoVs. (<b>c</b>). Recombination breakpoints of the SARS-CoV-2-S protein gene (MW837148) with selected HCoVs.</p>
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16 pages, 6494 KiB  
Article
Toxicity of Ammonia Stress on the Physiological Homeostasis in the Gills of Litopenaeus vannamei under Seawater and Low-Salinity Conditions
by Yuxiu Nan, Meng Xiao, Yafei Duan and Yukai Yang
Biology 2024, 13(4), 281; https://doi.org/10.3390/biology13040281 - 21 Apr 2024
Cited by 2 | Viewed by 1552
Abstract
Ammonia is a major water quality factor influencing the survival and health of shrimp, among which the gill is the main effector organ for ammonia toxicity. In this study, we chose two types of Litopenaeus vannamei that were cultured in 30‰ seawater and [...] Read more.
Ammonia is a major water quality factor influencing the survival and health of shrimp, among which the gill is the main effector organ for ammonia toxicity. In this study, we chose two types of Litopenaeus vannamei that were cultured in 30‰ seawater and domesticated in 3‰ low salinity, respectively, and then separately subjected to ammonia stress for 14 days under seawater and low-salinity conditions, of which the 3‰ low salinity-cultured shrimp were domesticated from the shrimp cultured in 30‰ seawater after 27 days of gradual salinity desalination. In detail, this study included four groups, namely the SC group (ammonia-N 0 mg/L, salinity 30‰), SAN group (ammonia-N 10 mg/L, salinity 30‰), LC group (ammonia-N 0 mg/L, salinity 3‰), and LAN group (ammonia-N 10 mg/L, salinity 3‰). The ammonia stress lasted for 14 days, and then the changes in the morphological structure and physiological function of the gills were explored. The results show that ammonia stress caused the severe contraction of gill filaments and the deformation or even rupture of gill vessels. Biochemical indicators of oxidative stress, including LPO and MDA contents, as well as T-AOC and GST activities, were increased in the SAN and LAN groups, while the activities of CAT and POD and the mRNA expression levels of antioxidant-related genes (nrf2, cat, gpx, hsp70, and trx) were decreased. In addition, the mRNA expression levels of the genes involved in ER stress (ire1 and xbp1), apoptosis (casp-3, casp-9, and jnk), detoxification (gst, ugt, and sult), glucose metabolism (pdh, hk, pk, and ldh), and the tricarboxylic acid cycle (mdh, cs, idh, and odh) were decreased in the SAN and LAN groups; the levels of electron-transport chain-related genes (ndh, cco, and coi), and the bip and sdh genes were decreased in the SAN group but increased in the LAN group; and the level of the ATPase gene was decreased but the cytc gene was increased in the SAN and LAN groups. The mRNA expression levels of osmotic regulation-related genes (nka-β, ca, aqp and clc) were decreased in the SAN group, while the level of the ca gene was increased in the LAN group; the nka-α gene was decreased in both two groups. The results demonstrate that ammonia stress could influence the physiological homeostasis of the shrimp gills, possibly by damaging the tissue morphology, and affecting the redox, ER function, apoptosis, detoxification, energy metabolism, and osmoregulation. Full article
(This article belongs to the Special Issue Metabolic and Stress Responses in Aquatic Animals)
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<p>Schematic representation of the experimental design in this study.</p>
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<p>Effects of ammonia stress on the gill tissue morphology of <span class="html-italic">L. vannamei</span> under seawater and low-salinity conditions. (<b>A</b>) The SC group; (<b>B</b>) the SAN group; (<b>C</b>) the LC group; (<b>D</b>) the LAN group. a: cuticle; b: epithelial cells; c: subcutaneous space; d: afferent vessel; e: efferent vessel; f: diaphragm; g: blood cells; h: vacuoles; 400× magnification.</p>
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<p>Effects of ammonia stress on the biochemical indexes of oxidative stress in the gills of <span class="html-italic">L. vannamei</span> under seawater and low-salinity conditions. (<b>A</b>) LPO content; (<b>B</b>) MDA content; (<b>C</b>) T-AOC activity; (<b>D</b>) CAT activity; (<b>E</b>) GPx activity; (<b>F</b>) POD activity; (<b>G</b>) GST activity. Different lowercase letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 30‰ salinity. Different capital letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 3‰ salinity. * represents significant differences (<span class="html-italic">p</span> &lt; 0.05) between the SC and LC groups.</p>
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<p>Effects of ammonia stress on the antioxidant and endoplasmic reticulum stress-related genes’ expression in the gills of <span class="html-italic">L. vannamei</span> under seawater and low-salinity conditions. (<b>A</b>) Oxidative stress-related genes; (<b>B</b>) ER stress-related genes. Different lowercase letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 30‰ salinity. Different capital letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 3‰ salinity. * represents significant differences (<span class="html-italic">p</span> &lt; 0.05) between the SC and LC groups.</p>
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<p>Effects of ammonia stress on the apoptosis and detoxification metabolism-related genes’ expression in the gills of <span class="html-italic">L. vannamei</span> under seawater and low-salinity conditions. (<b>A</b>) Apoptosis-related genes; (<b>B</b>) detoxification metabolism-related genes. Different lowercase letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 30‰ salinity. Different capital letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 3‰ salinity. * represents significant differences (<span class="html-italic">p</span> &lt; 0.05) between the SC and LC groups.</p>
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<p>Effects of ammonia stress on the energy metabolism-related genes’ expression in the gills of <span class="html-italic">L. vannamei</span> under seawater and low-salinity conditions. (<b>A</b>) Glucose metabolism-related genes; (<b>B</b>) tricarboxylic acid cycle-related genes. Different lowercase letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 30‰ salinity. Different capital letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 3‰ salinity.</p>
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<p>Effects of ammonia stress on the electron transport chain-related genes’ expression in the gills of <span class="html-italic">L. vannamei</span> under seawater and low-salinity conditions. Different lowercase letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 30‰ salinity. Different capital letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 3‰ salinity.</p>
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<p>Effects of ammonia stress on the osmotic regulation-related genes’ expression in the gills of <span class="html-italic">L. vannamei</span> under seawater and low-salinity conditions. Different lowercase letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 30‰ salinity. Different capital letters show significant differences (<span class="html-italic">p</span> &lt; 0.05) between the two groups under 3‰ salinity. * represents significant differences (<span class="html-italic">p</span> &lt; 0.05) between the SC and LC groups.</p>
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18 pages, 31519 KiB  
Article
Genome-Wide Analysis of the HSF Gene Family Reveals Its Role in Astragalus mongholicus under Different Light Conditions
by Zhen Wang, Panpan Wang, Jiajun He, Lingyang Kong, Wenwei Zhang, Weili Liu, Xiubo Liu and Wei Ma
Biology 2024, 13(4), 280; https://doi.org/10.3390/biology13040280 - 19 Apr 2024
Viewed by 1333
Abstract
Astragalus mongholicus is a traditional Chinese medicine (TCM) with important medicinal value and is widely used worldwide. Heat shock (HSF) transcription factors are among the most important transcription factors in plants and are involved in the transcriptional regulation of various stress responses, including [...] Read more.
Astragalus mongholicus is a traditional Chinese medicine (TCM) with important medicinal value and is widely used worldwide. Heat shock (HSF) transcription factors are among the most important transcription factors in plants and are involved in the transcriptional regulation of various stress responses, including drought, salinity, oxidation, osmotic stress, and high light, thereby regulating growth and developmental processes. However, the HFS gene family has not yet been identified in A. mongholicus, and little is known regarding the role of HSF genes in A. mongholicus. This study is based on whole genome analysis of A. mongholicus, identifying a total of 22 AmHSF genes and analyzing their physicochemical properties. Divided into three subgroups based on phylogenetic and gene structural characteristics, including subgroup A (12), subgroup B (9), and subgroup C (1), they are randomly distributed in 8 out of 9 chromosomes of A. mongholicus. In addition, transcriptome data and quantitative real time polymerase chain reaction (qRT-PCR) analyses revealed that AmHSF was differentially transcribed in different tissues, suggesting that AmHSF gene functions may differ. Red and blue light treatment significantly affected the expression of 20 HSF genes in soilless cultivation of A. mongholicus seedlings. AmHSF3, AmHSF3, AmHSF11, AmHSF12, and AmHSF14 were upregulated after red light and blue light treatment, and these genes all had light-corresponding cis-elements, suggesting that AmHSF genes play an important role in the light response of A. mongholicus. Although the responses of soilless-cultivated A. mongholicus seedlings to red and blue light may not represent the mature stage, our results provide fundamental research for future elucidation of the regulatory mechanisms of HSF in the growth and development of A. mongholicus and its response to different light conditions. Full article
(This article belongs to the Section Plant Science)
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<p>Chromosomal distribution and duplication events. Highlighted lines indicate gene duplication events in the <span class="html-italic">AmHSF</span> gene, and gray lines show collinear pairs of all <span class="html-italic">A. mongholicus</span> genes. Red line, Purple lines and the blue bar indicate the gene density in each chromosome.</p>
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<p>Phylogenetic and classification analysis of HSF proteins in <span class="html-italic">A. thaliana</span> and <span class="html-italic">A. mongholicus.</span> Different colors indicate the various subgroups. AmHSF protein is highlighted in red.</p>
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<p>Motif and gene structure features of <span class="html-italic">AmHSF</span> genes. (<b>A</b>) Distribution of motifs within each AmHSF protein. (<b>B</b>) <span class="html-italic">AmHSF</span> gene structures. Lines indicate introns.</p>
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<p>Syntenic analysis of genes between <span class="html-italic">A. mongholicus</span> and four other species. (<b>A</b>) <span class="html-italic">M. domestica,</span> (<b>B</b>) <span class="html-italic">S. lycopersicum</span>, (<b>C</b>) <span class="html-italic">C. sativa</span>, (<b>D</b>) <span class="html-italic">C. arietinum</span>. Red lines represent <span class="html-italic">AmHSF</span> genes in homologous pairs. Gray lines symbolize the colinear blocks within <span class="html-italic">A. mongholicus</span> and other genomes.</p>
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<p>Prediction of <span class="html-italic">cis</span>-elements in the promoter regions of 22 AmHSF genes. Different colors represent various <span class="html-italic">cis</span>-elements.</p>
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<p>Expression profile analysis of <span class="html-italic">AmHSF</span> genes in different tissues of <span class="html-italic">A. mongholicus</span>. The color bar on the right side of the figure shows log<sub>2</sub> FPKM values.</p>
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<p>RT-PCR analysis of <span class="html-italic">AmHSF</span> genes in different tissues of <span class="html-italic">A. mongholicus</span>. Error bars represent three biological replicates and technical replicates. Significance analysis was performed for each component using the one-way ANOVA method. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p><span class="html-italic">AmHSF</span> gene expression levels after different light treatments. Error bars represent three biological replicates and technical replicates. Significance analysis was performed for each component using the one-way ANOVA method. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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26 pages, 4375 KiB  
Article
When Nature Requires a Resource to Be Used—The Case of Callinectes sapidus: Distribution, Aggregation Patterns, and Spatial Structure in Northwest Europe, the Mediterranean Sea, and Adjacent Waters
by Luca Castriota, Manuela Falautano and Patrizia Perzia
Biology 2024, 13(4), 279; https://doi.org/10.3390/biology13040279 - 19 Apr 2024
Cited by 2 | Viewed by 1780
Abstract
The Atlantic blue crab Callinectes sapidus, which is native to the western Atlantic coast and listed among the 100 most invasive alien species in the Mediterranean Sea, is attracting a great deal of interest because of its rapid colonisation of new areas, [...] Read more.
The Atlantic blue crab Callinectes sapidus, which is native to the western Atlantic coast and listed among the 100 most invasive alien species in the Mediterranean Sea, is attracting a great deal of interest because of its rapid colonisation of new areas, the significant increase in its population, and the impacts it may have on ecosystems and ecosystem services. Outside its natural distribution range, the species was first found on European Atlantic coasts in the early 1900s and was introduced into the Mediterranean Sea a few decades later, probably through ballast water. Currently, it is found in almost the entire Mediterranean Basin and is also expanding into the Black Sea and along the north African and Iberian Atlantic coasts. Based on a systematic review of C. sapidus occurrences, this study describes its distribution, aggregation patterns, and spatial structure in Northwest Europe, the Mediterranean Sea, and adjacent waters through a series of ecological indicators elaborated using GIS spatial–temporal statistics. The main results highlight that the species is expanding in the Mediterranean and adjacent waters, while in northern Europe, the population remains confined in some areas. Furthermore, the main species detection methods are analysed, finding that traps and nets are the most frequently used methods, and management suggestions are provided. Full article
(This article belongs to the Special Issue Alien Marine Species in the Mediterranean Sea)
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<p>Cumulative curves of occurrences of <span class="html-italic">Callinectes sapidus</span> (red dotted lines) in the two identified invasion areas, with indications of the phases in the invasion process: arrival, establishment, and expansion. Equations of the regression lines (black dotted lines) with corresponding R<sup>2</sup> values are also reported for (<b>a</b>) Northwest Europe and (<b>b</b>) the Mediterranean Sea and adjacent waters (the eastern Atlantic Ocean and the Black Sea). Only the first records within a 0.05° Lat/Long grid were considered for analysis. The cumulative number of records also corresponds to the cumulative number of cells affected by the occurrences over time. Blue arrows indicate invasion phases.</p>
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<p>Distribution of <span class="html-italic">Callinectes sapidus</span> in Northwest Europe and in the Mediterranean Sea and adjacent waters together with kernel density cumulative maps. (<b>a</b>) The overall distribution of the selected records (the first record within a 0.05° Lat/Long grid); (<b>b</b>–<b>g</b>) Period-to-period variations in space and time of occurrence, corresponding to presumed invasion phases. The yellow and black circles in (<b>a</b>–<b>g</b>) indicate the records of <span class="html-italic">C. sapidus.</span> ISO 3166 Country Codes were used to indicate the countries in which <span class="html-italic">C. sapidus</span> occurs.</p>
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<p>The results of the optimised hot spot analysis and outlier analysis on records of <span class="html-italic">Callinectes sapidus</span> in Northwest Europe and in the Mediterranean Sea and adjacent waters. Areas with statistically significant spatial clustering (hot spots = circles in red shades and cold spots = circles in blue shades), high outliers (uncoloured squares), and low outliers (uncoloured circles) were detected. Yellow circles indicate records with non-significant index values.</p>
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<p>Key distribution characteristics of <span class="html-italic">Callinectes sapidus</span> in Northwest Europe and in the Mediterranean Sea and adjacent waters. The central tendency (measured as mean and median centres), directional dispersion, and trends, calculated for the two areas in different periods, show distribution changes in space and time.</p>
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<p>The frequency of occurrence of <span class="html-italic">Callinectes sapidus</span> fishing gear categories from an analysis of the literature.</p>
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<p>Distribution maps of the most-represented categories of <span class="html-italic">Callinectes sapidus</span> detection methods.</p>
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22 pages, 5732 KiB  
Article
Impaired Spermatogenesis in Infertile Patients with Orchitis and Experimental Autoimmune Orchitis in Rats
by María Sofía Amarilla, Leilane Glienke, Thaisy Munduruca Pires, Cristian Marcelo Sobarzo, Hernán Gustavo Oxilia, María Florencia Fulco, Marcelo Rodríguez Peña, María Belén Maio, Denisse Ferrer Viñals, Livia Lustig, Patricia Verónica Jacobo and María Susana Theas
Biology 2024, 13(4), 278; https://doi.org/10.3390/biology13040278 - 19 Apr 2024
Viewed by 1281
Abstract
Experimental autoimmune orchitis (EAO) is a well-established rodent model of organ-specific autoimmunity associated with infertility in which the testis immunohistopathology has been extensively studied. In contrast, analysis of testis biopsies from infertile patients associated with inflammation has been more limited. In this work, [...] Read more.
Experimental autoimmune orchitis (EAO) is a well-established rodent model of organ-specific autoimmunity associated with infertility in which the testis immunohistopathology has been extensively studied. In contrast, analysis of testis biopsies from infertile patients associated with inflammation has been more limited. In this work, testicular biopsies from patients with idiopathic non-obstructive azoospermia diagnosed with hypospermatogenesis (HypoSp) [mild: n = 9, and severe: n = 11], with obstructive azoospermia and complete Sp (spermatogenesis) (control group, C, n = 9), and from Sertoli cell-only syndrome (SCOS, n = 9) were analyzed for the presence of immune cells, spermatogonia and Sertoli cell (SCs) alterations, and reproductive hormones levels. These parameters were compared with those obtained in rats with EAO. The presence of increased CD45+ cells in the seminiferous tubules (STs) wall and lumen in severe HypoSp is associated with increased numbers of apoptotic meiotic germ cells and decreased populations of undifferentiated and differentiated spermatogonia. The SCs showed an immature profile with the highest expression of AMH in patients with SCOS and severe HypoSp. In SCOS patients, the amount of SCs/ST and Ki67+ SCs/ST increased and correlated with high serum FSH levels and CD45+ cells. In the severe phase of EAO, immune cell infiltration and apoptosis of meiotic germ cells increased and the number of undifferentiated and differentiated spermatogonia was lowest, as previously reported. Here, we found that orchitis leads to reduced sperm number, viability, and motility. SCs were mature (AMH-) but increased in number, with Ki67+ observed in severely damaged STs and associated with the highest levels of FSH and inflammatory cells. Our findings demonstrate that in a scenario where a chronic inflammatory process is underway, FSH levels, immune cell infiltration, and immature phenotypes of SCs are associated with severe changes in spermatogenesis, leading to azoospermia. Furthermore, AMH and Ki67 expression in SCs is a distinctive marker of severe alterations of STs in human orchitis. Full article
(This article belongs to the Special Issue Pathophysiology of Testis)
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<p><b>Histopathology of testicular biopsies (A</b>–<b>E)</b>. Microphotographs of testicular biopsies stained with hematoxylin-eosin classified according to McLachlan et al.’s (2007) [<a href="#B13-biology-13-00278" class="html-bibr">13</a>] criteria with modifications. Complete spermatogenesis (Complete Sp) (<b>A</b>,<b>B</b>): all cell populations of spermatogenesis were present in seminiferous tubules (STs), including spermatogonia (short black arrowhead), spermatocytes (long blue arrowhead), elongated spermatids (short blue arrowhead), and Sertoli cells (long black arrowhead). Mild hypospermatogenesis (Mild HypoSp) (<b>C</b>): the population of elongated spermatids was reduced in number in the STs. Severe hypospermatogenesis (Severe HypoSp) (<b>D</b>): a large reduction in the number of all germ cell populations was observed and no elongated spermatids were detected. Sertoli cell-only syndrome (SCOS) (<b>E</b>): STs showed total absence of mature germ cells and contained Sertoli cells. In (<b>D</b>,<b>E</b>), ST walls were thickened and fibrotic (black arrow) and increased cellularity was also observed in the interstitium (asterisk). Left panels, scale bar indicates 50 µm; right panels scale bar indicates 20 µm. Seminiferous tubule diameter (<b>F</b>) and thickness (<b>G</b>) were evaluated in 4–10 STs in four non-consecutive slices. Dunnett’s multiple comparisons test * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. STs diameter of Complete Sp. Dunn’s nonparametric test * <span class="html-italic">p</span> &lt; 0.05 vs. STs thickness of Complete Sp.</p>
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<p><b>Localization and quantification of immune cells (CD45+) in testicular biopsies.</b> Microphotographs of testicular biopsies showing the distribution of CD45+ cells. CD45+ in biopsies from patients with complete spermatogenesis (Complete Sp) (<b>A</b>), mild (Mild HypoSp) (<b>B</b>) and severe hypospermatogenesis (Severe HypoSp) (<b>C</b>), and Sertoli cell-only syndrome SCOS (<b>D</b>). In the negative control (<b>E</b>), the first antibody was omitted. Cells were localized in the interstitium (short black arrowhead), in the tubular wall (long black arrowhead), and in the lumen of the seminiferous tubules (STs) (long blue arrowhead). Scale bar indicates 20 µm. Total CD45+ cells were quantified (<b>F</b>) and analyzed according to their location in the STs: ST walls (<b>G</b>) and ST lumen (<b>H</b>) (six nonconsecutive slices per biopsy). Dunn’s nonparametric test * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. Complete Sp.</p>
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<p><b>Germ cell apoptosis.</b> Representative microphotographs showing TUNEL+ germ cells (arrowheads) in biopsies from patients with complete spermatogenesis (Complete Sp) (<b>A</b>), mild hypospermatogenesis (Mild HypoSp) (<b>B</b>), severe hypospermatogenesis (Severe HypoSp) (<b>C</b>), and Sertoli cell-only syndrome (SCOS) (<b>D</b>): notice that Sertoli cells were TUNEL-. In the negative control (<b>E</b>), the TdT enzyme was replaced by incubation buffer. Bar indicates 50 µm (<b>A</b>–<b>C</b>,<b>E</b>) and 20 µm Apoptosis was evaluated in six non-consecutive slices (<b>F</b>). Dunnett’s multiple comparisons test * <span class="html-italic">p</span> &lt; 0.05 vs. Complete Sp.</p>
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<p><b>Quantification of spermatogonia in testicular biopsies.</b> Undifferentiated A (dark and pale) (<b>A</b>) and differentiated B spermatogonia (<b>B</b>) were quantified in seminiferous tubule (ST) (six nonconsecutive slices per biopsy). Complete spermatogenesis (Complete Sp), mild hypospermatogenesis (Mild HypoSp), severe hypospermatogenesis (Severe HypoSp), and Sertoli cell-only syndrome (SCOS). Each column represents the mean ± SEM. Dunnett parametric test, *** <span class="html-italic">p</span> &lt; 0.001 vs. Complete Sp. <b>Number of spermatogonia present in STs with or without immune cell infiltration in testicular biopsies</b> (<b>C</b>). Two-factor ANOVA followed by Bonferroni multiple comparisons test, *** <span class="html-italic">p</span> &lt; 0.001 ST with CD45+ cell infiltrate (ST CD45+) vs. ST without cell infiltrate (ST CD45-) from patients with Severe HypoSp.</p>
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<p><b>Sertoli cells in testicular biopsies.</b> Number of Sertoli cells (<b>A</b>) and number of Ki67+ Sertoli (<b>B</b>) were quantified in 4–10 seminiferous tubules (STs) in six non-consecutive slices. Complete spermatogenesis (Complete Sp), mild hypospermatogenesis (Mild HypoSp), severe hypospermatogenesis (Severe HypoSp), and Sertoli cell-only syndrome (SCOS). Dunn’s nonparametric test ** <span class="html-italic">p</span> &lt; 0.01 vs. Complete Sp. <b>Spearman correlation analysis between Ki67+ Sertoli cells and serum FSH</b> (<b>C</b>) <b>and between Ki67+ Sertoli and CD45+ cells</b> (<b>D</b>). Points represent values for each patient.</p>
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<p><b>Ki67 expression determined by immunoperoxidase.</b> Representative microphotographs: complete spermatogenesis (Complete Sp; <b>A</b>,<b>A′</b>), mild hypospermatogenesis (<b>B</b>,<b>B′</b>), severe hypospermatogenesis (<b>C</b>,<b>C′</b>), Sertoli cell-only syndrome (SCOS) (<b>D</b>,<b>D′</b>)<b>.</b> In the negative control, the first antibody was replaced by an incubation buffer (<b>Insert in A</b>). Sertoli cells (short arrowheads) express Ki67 in hypospermatogenesis and SCOS patients. Notice the immature phenotype of Sertoli cell nucleus (see the main document for better explanation) in (<b>B′</b>–<b>D′</b>). In (<b>B′</b>), an immature Sertoli cell nucleus with two nucleoli is shown (short arrowheads). In (<b>C′</b>), notice a group of Sertoli cells with immature phenotypes and others with mature phenotypes (asterisk), located in the basal zone of the same seminiferous tubule: with an indentation and nucleus with triangular shape. In patients with Complete Sp, Ki67+ germ cells are observed (long arrowheads), and Sertoli cells display mature phenotypes. Left panels, scale bar indicates 20 µm; right panels, bar indicates 10 µm.</p>
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<p><b>AMH expression in Sertoli cells.</b> Representative microphotographs of testis sections processed for AMH detection using immunoperoxidase. In complete spermatogenesis (Complete Sp) (<b>A</b>) and mild hypospermatogenesis (Mild HypoSp), some Sertoli cells (SCs) are AMH+ (black arrowheads) whereas others are AMH- (blue arrowheads) (<b>B</b>). In severe HypoSp (Severe HypoSp) (<b>C</b>) and Sertoli cell-only syndrome (SCOS), most SCs are AMH+ (<b>D</b>)<b>.</b> Positive control: testicular biopsy of a prepubertal boy (7 months old), all SCs in the seminiferous chords (SCh) express AMH (<b>E</b>). Spermatogonia are AMH- (black arrow). In the negative control, the first antibody was replaced by an incubation buffer (<b>F</b>). Scale bar indicates 20 µm. <b>Percentage of seminiferous tubules with AMH+ Sertoli cells</b> (<b>G</b>). Each column represents the mean ± SEM. Dunn’s nonparametric test * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. Complete Sp. <b>Level of AMH expression in Sertoli cells</b> (<b>H</b>). Optical density (OD) was calculated from the analysis of microphotographs using the Image J program. Dunn’s nonparametric test * <span class="html-italic">p</span> &lt; 0.05 vs. Complete Sp. Optical density in the negative control: mean ± SEM: 0.070 ± 0.005.</p>
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<p><b>Histopathology, seminiferous tubule diameter (G), wall thickness (H), and sperm (I) count in EAO.</b> Representative micrographs of testis sections of untreated rats (<b>A</b>,<b>B</b>) showing complete spermatogenesis: all seminiferous tubules (STs) and the interstitial compartment were preserved; in focal orchitis (<b>C</b>,<b>D</b>), elongated spermatids (arrow) were lost in most STs, degenerated round spermatids and spermatocytes (long arrowhead) were present in the lumen of some STs, vacuolization of Sertoli cells occurred (short arrowhead), and increased cellularity was present in the interstitial compartment (asterisk); in severe orchitis (<b>E</b>,<b>F</b>), STs lost most of the spermatid and spermatocyte populations. In most STs, Sertoli cells and spermatogonia were the main cells present; cellularity was increased in the interstitium. In (<b>G</b>,<b>H</b>): 60 STs were analyzed in testis sections from untreated (<span class="html-italic">n</span> = 7); Focal EAO, (<span class="html-italic">n</span> = 7) and Severe EAO (<span class="html-italic">n</span> = 8) rats. Dunn’s multiple comparisons test * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 vs. untreated rats. In (<b>I</b>): sperm was evaluated in the epididymis cauda from untreated (<span class="html-italic">n</span> = 11); Focal EAO, (<span class="html-italic">n</span> = 9) and Severe EAO (<span class="html-italic">n</span> = 6) rats. Dunn’s multiple comparisons test *** <span class="html-italic">p</span> &lt; 0.001 vs. untreated rats.</p>
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<p><b>Number of Sertoli cells and Ki67+ expression in Sertoli cells in rats with EAO.</b> Sertoli cells were quantified in 100 seminiferous tubules (STs). (<b>A</b>) Untreated rat <span class="html-italic">n</span> = 4; Focal EAO, <span class="html-italic">n</span> = 4; Severe EAO, <span class="html-italic">n</span> = 4. Dunn’s multiple comparisons test * <span class="html-italic">p</span> &lt; 0.05 vs. untreated rat. Ki67 was determined using immunoperoxidase, representative microphotographs of testis sections of untreated (<b>B</b>), focal EAO (<b>C</b>), and severe EAO rats (<b>D</b>,<b>E</b>). In untreated and focal EAO testis, Sertoli cells (large arrowheads) did not express Ki67, unlike premeiotic germ cells (spermatogonia and preleptotene spermatocytes) (short arrowheads). Many cells in the interstitial compartment (*) are Ki67+. In severe EAO, Sertoli cells expressed Ki67 (large green arrowheads), and some also had immature phenotypes (hashtag). In the negative control (<b>F</b>), the first antibody was replaced by incubation buffer. Scale bar indicates 20 µm and (10 µm (<b>E</b>)).</p>
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<p><b>AMH expression in rat Sertoli cells.</b> Representative microphotographs of testis sections of untreated (<b>A</b>), focal EAO (<b>B</b>), and severe EAO (<b>C</b>) rats processed for AMH detection by immunoperoxidase. Sertoli cells (arrowheads) in all groups studied did not express AMH. Positive control: prepubertal rat testis (2 d) (<b>D</b>) showing AMH expression in Sertoli cell cytoplasm. The first antibody was replaced by incubation buffer in the negative control (<b>E</b>). Scale bar indicates 20 µm.</p>
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17 pages, 7028 KiB  
Article
Utilizing 5′ UTR Engineering Enables Fine-Tuning of Multiple Genes within Operons to Balance Metabolic Flux in Bacillus subtilis
by Jiajia You, Yifan Wang, Kang Wang, Yuxuan Du, Xiaoling Zhang, Xian Zhang, Taowei Yang, Xuewei Pan and Zhiming Rao
Biology 2024, 13(4), 277; https://doi.org/10.3390/biology13040277 - 19 Apr 2024
Viewed by 1582
Abstract
The application of synthetic biology tools to modulate gene expression to increase yield has been thoroughly demonstrated as an effective and convenient approach in industrial production. In this study, we employed a high-throughput screening strategy to identify a 5′ UTR sequence from the [...] Read more.
The application of synthetic biology tools to modulate gene expression to increase yield has been thoroughly demonstrated as an effective and convenient approach in industrial production. In this study, we employed a high-throughput screening strategy to identify a 5′ UTR sequence from the genome of B. subtilis 168. This sequence resulted in a 5.8-fold increase in the expression level of EGFP. By utilizing the 5′ UTR sequence to overexpress individual genes within the rib operon, it was determined that the genes ribD and ribAB serve as rate-limiting enzymes in the riboflavin synthesis pathway. Constructing a 5′ UTR library to regulate EGFP expression resulted in a variation range in gene expression levels exceeding 100-fold. Employing the same 5′ UTR library to regulate the expression of EGFP and mCherry within the operon led to a change in the expression ratio of these two genes by over 10,000-fold. So, employing a 5′ UTR library to modulate the expression of the rib operon gene and construct a synthetic rib operon resulted in a 2.09-fold increase in riboflavin production. These results indicate that the 5′ UTR sequence identified and characterized in this study can serve as a versatile synthetic biology toolkit for achieving complex metabolic network reconstruction. This toolkit can facilitate the fine-tuning of gene expression to produce target products. Full article
(This article belongs to the Section Biotechnology)
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<p>The primary strategy used for screening and identifying 5′ UTR sequences. (<b>A</b>) A schematic diagram illustrating the process of 5′ UTR screening. (<b>B</b>) Ultrasonication was utilized to disrupt the genome of <span class="html-italic">B. subtilis</span> 168. 1: Ultrasonic crushing for 5 s with a power of 10%; 2: ultrasonic crushing for 10 s with a power of 10%. (<b>C</b>) Flow cytometry sorting of the highest expressed cell population. (<b>D</b>) The determination of fluorescence values was conducted for the strains selected from the library. (<b>E</b>) Fluorescence imaging of mutants was carried out using a fluorescence microscope. (<b>F</b>) The effect of 5′ UTR sequences on EGFP expression. Black dots represent three duplicate samples. Error bars: ±SD over three independent experiments (*** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>A description of the characteristics and expression ability of the 5′ UTR sequence. (<b>A</b>) The features of the 5 ‘UTR sequence. The sequence of P<sub>43</sub>-UTR1 matches that of P<sub>43</sub>-dppA-EGFP. For clarity, the term P<sub>43</sub>-UTR1 will be consistently employed in the subsequent text. (<b>B</b>) Fluorescent colony imaging using blue light irradiation. (<b>C</b>) A flow cytometry analysis of the effect of different UTR lengths on EGFP expression. (<b>D</b>) A measurement of the effect of different UTR lengths on the expression intensity of EGFP. (<b>E</b>) The secondary structure of P<sub>43</sub>-EGFP. (<b>F</b>) The secondary structure of the UTR4-EGFP sequences. The secondary structure contains 19 bp (5′-GTAAAAAAGGAGGAGCGTT-3′) of UTR4 and 100 bp of EGFP. Black dots represent three duplicate samples. Error bars: ±SD over three independent experiments (*** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>The effect of the overexpression of genes on <span class="html-italic">rib</span> operon on riboflavin synthesis. (<b>A</b>) The riboflavin synthesis pathway in <span class="html-italic">B. subtilis</span>. (<b>B</b>) A schematic diagram of genes overexpressing the <span class="html-italic">rib</span> operon. (<b>C</b>) The determination of the effect of overexpressing genes on riboflavin synthesis on the <span class="html-italic">rib</span> operon. Black dots represent three duplicate samples. Error bars: ±SD over three independent experiments (** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Characterizing the ability of the UTR4 library to regulate gene expression in <span class="html-italic">B. subtilis</span>. (<b>A</b>) A flow cytometry analysis of the fluorescence value range of four libraries. (<b>B</b>) The determination of fluorescence values for mutants in the library was performed. (<b>C</b>) Fluorescent colony imaging using white light irradiation and ultraviolet (UV) irradiation. (<b>D</b>) The fluorescence value change fold of four libraries. (<b>E</b>) The expression change fold of the reporter gene EGFP in four libraries.</p>
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<p>Constructing a UTR4 library to coordinate the expression of dual reporter genes in operons. (<b>A</b>) A schematic diagram of the construction of a dual reporter gene library. (<b>B</b>) A flow cytometry analysis of the fluorescent protein expression range in dual reporter gene libraries. (<b>C</b>) A total of 15 clones were subjected to fluorescence detection during exponential growth to analyze the fluorescence ratio range of EGFP/mCherry.</p>
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<p>Screening and analysis of <span class="html-italic">rib</span> operon library. (<b>A</b>) Screening of <span class="html-italic">rib</span> operon library based on riboflavin fluorescence values. (<b>B</b>) Shake flask fermentation analysis of riboflavin production from 10 mutant strains selected from <span class="html-italic">rib</span> operon library. Black dots represent three duplicate samples. Error bars: ±SD over three independent experiments (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01).</p>
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16 pages, 5161 KiB  
Article
Dissecting Holistic Metabolic Acclimatization of Mucor circinelloides WJ11 Defective in Carotenoid Biosynthesis
by Fanyue Li, Roypim Thananusak, Nachon Raethong, Junhuan Yang, Mingyue Wei, Xingtang Zhao, Kobkul Laoteng, Yuanda Song and Wanwipa Vongsangnak
Biology 2024, 13(4), 276; https://doi.org/10.3390/biology13040276 - 18 Apr 2024
Viewed by 1383
Abstract
Mucor circinelloides WJ11 is a lipid-producing strain with industrial potential. A holistic approach using gene manipulation and bioprocessing development has improved lipid production and the strain’s economic viability. However, the systematic regulation of lipid accumulation and carotenoid biosynthesis in M. circinelloides remains unknown. [...] Read more.
Mucor circinelloides WJ11 is a lipid-producing strain with industrial potential. A holistic approach using gene manipulation and bioprocessing development has improved lipid production and the strain’s economic viability. However, the systematic regulation of lipid accumulation and carotenoid biosynthesis in M. circinelloides remains unknown. To dissect the metabolic mechanism underlying lipid and carotenoid biosynthesis, transcriptome analysis and reporter metabolites identification were implemented between the wild-type (WJ11) and ΔcarRP WJ11 strains of M. circinelloides. As a result, transcriptome analysis revealed 10,287 expressed genes, with 657 differentially expressed genes (DEGs) primarily involved in amino acid, carbohydrate, and energy metabolism. Integration with a genome-scale metabolic model (GSMM) identified reporter metabolites in the ΔcarRP WJ11 strain, highlighting metabolic pathways crucial for amino acid, energy, and nitrogen metabolism. Notably, the downregulation of genes associated with carotenoid biosynthesis and acetyl-CoA generation suggests a coordinated relationship between the carotenoid and fatty acid biosynthesis pathways. Despite disruptions in the carotenoid pathway, lipid production remains stagnant due to reduced acetyl-CoA availability, emphasizing the intricate metabolic interplay. These findings provide insights into the coordinated relationship between carotenoid and fatty acid biosynthesis in M. circinelloides that are valuable in applied research to design optimized strains for producing desired bioproducts through emerging technology. Full article
(This article belongs to the Section Bioinformatics)
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<p>Systematic workflow of this study by integrative analysis of transcriptome data of <span class="html-italic">M. circinelloides</span> strains WJ11 and <span class="html-italic">ΔcarRP</span> WJ11.</p>
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<p>The number of the expressed genes of the <span class="html-italic">M. circinelloides</span> WJ11 and <span class="html-italic">ΔcarRP</span> WJ11 cultures and their KEGG functional classification. (<b>A</b>) The functional annotation of the expressed genes. (<b>B</b>) The metabolic functional categories of the expressed genes.</p>
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<p>Differentially expressed genes (DEGs) between <span class="html-italic">M. circinelloides</span> WJ11 and <span class="html-italic">ΔcarRP</span> WJ11 strains. (<b>A</b>) A pie chart shows the number of DEGs. (<b>B</b>) The enrichment analysis of DEGs based on KEGG annotation. Note in <a href="#biology-13-00276-f003" class="html-fig">Figure 3</a>B: The front number represents the identified number of DEGs, and the percentage in parenthesis represents the proportion of DEGs identified from all the expressed genes existing in each metabolic pathway.</p>
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<p>Subnetwork of reporter metabolites of <span class="html-italic">M. circinelloides</span> when comparing <span class="html-italic">ΔcarRP</span> WJ11 and WJ11 strains. The abbreviations of all metabolite names are in <a href="#biology-13-00276-t004" class="html-table">Table 4</a>.</p>
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<p>The proposed metabolic routes associated with lipid and β-carotene biosynthetic pathways in <span class="html-italic">ΔcarRP</span> WJ11 in comparison with the WJ11 strain. The abbreviations of all metabolite names are in <a href="#app1-biology-13-00276" class="html-app">Supplementary Table S8</a>. The abbreviations of all gene IDs are in <a href="#app1-biology-13-00276" class="html-app">Supplementary Table S3</a>. A red metabolite name represents a reporter metabolite. Red EC numbers are associated with upregulated genes. The red arrows indicate upregulation routes associated with amino acid metabolism. The green arrows indicate downregulation routes associated with carotenoid and fatty acid biosynthesis. Green EC numbers are associated with downregulated genes.</p>
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25 pages, 5671 KiB  
Article
Impacts of Invasive Plants on Native Vegetation Communities in Wetland and Stream Mitigation
by Douglas A. DeBerry and Dakota M. Hunter
Biology 2024, 13(4), 275; https://doi.org/10.3390/biology13040275 - 18 Apr 2024
Cited by 1 | Viewed by 1538
Abstract
We sampled vegetation communities across plant invasion gradients at multiple wetland and stream mitigation sites in the Coastal Plain and Piedmont physiographic provinces of Virginia, USA. Impacts of invasion were evaluated by tracking changes in species composition and native vegetation community properties along [...] Read more.
We sampled vegetation communities across plant invasion gradients at multiple wetland and stream mitigation sites in the Coastal Plain and Piedmont physiographic provinces of Virginia, USA. Impacts of invasion were evaluated by tracking changes in species composition and native vegetation community properties along the abundance gradients of multiple plant invaders. We found that native species richness, diversity, and floristic quality were consistently highest at moderate levels of invasion (ca. 5–10% relative abundance of invader), regardless of the identity of the invasive species or the type of mitigation (wetland or stream). Likewise, native species composition was similar between uninvaded and moderately invaded areas, and only diminished when invaders were present at higher abundance values. Currently, low thresholds for invasive species performance standards (e.g., below 5% relative abundance of invader) compel mitigation managers to use non-selective control methods such as herbicides to reduce invasive plant cover. Our results suggest that this could cause indiscriminate mortality of desirable native species at much higher levels of richness, diversity, and floristic quality than previously thought. From our data, we recommend an invasive species performance standard of 10% relative invader(s) abundance on wetland and stream mitigation sites, in combination with vigilant invasive plant mapping strategies. Based on our results, this slightly higher standard would strike a balance between proactive management and unnecessary loss of plant community functions at the hands of compulsory invasive species management. Full article
(This article belongs to the Special Issue Biology, Ecology and Management of Invasive Alien Plants)
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<p>Study site locations. Green circles indicate wetland mitigation sites and blue triangles are stream mitigation sites.</p>
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<p>General layout of wetland (<b>a</b>) and stream (<b>b</b>) study design and transect/plot configuration. Transect orientation, plot randomization, and final plot position (red asterisks) explained in text (<a href="#sec2dot3dot1-biology-13-00275" class="html-sec">Section 2.3.1</a> and <a href="#sec2dot3dot2-biology-13-00275" class="html-sec">Section 2.3.2</a>).</p>
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<p>General layout of wetland (<b>a</b>) and stream (<b>b</b>) study design and transect/plot configuration. Transect orientation, plot randomization, and final plot position (red asterisks) explained in text (<a href="#sec2dot3dot1-biology-13-00275" class="html-sec">Section 2.3.1</a> and <a href="#sec2dot3dot2-biology-13-00275" class="html-sec">Section 2.3.2</a>).</p>
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<p>ANOSIM boxplots for the wetland datasets showing distribution of compositional similarity among groups across the invasion gradient from most invaded (A) to uninvaded (E). For each dataset, differences in species composition from the ANOSIM statistic are attributed to groups A and B (<span class="html-italic">Microstegium</span>) or group A only (<span class="html-italic">Arthraxon</span>, <span class="html-italic">Typha</span>), with moderately invaded (C) sites showing compositional affinity to the uninvaded end of the gradient and strong overlap with between-group similarity. Boxplot width is proportional to the number of observations per group (“Between” being the largest as it includes all plots across groups). Notch corresponds to group median, and whiskers show group distribution (outliers greater than 1.5 times the interquartile range are plotted as points).</p>
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<p>Species accumulation curves and Rényi profiles for the wetland datasets. In each graph, the invasion gradient is represented by the different curves from A (most invaded) to E (uninvaded). The highest curves on the species accumulation and Rényi graphs represent the highest species richness and diversity values, respectively. The x-axis on the Rényi graphs is a unitless diversity ordering scale referred to as alpha (α). It represents species richness (α = 0, left hand side), Shannon diversity index (α = 1, center), Simpson diversity index (α = 2, center), and species evenness (α = inf., right hand side), all of which represent transformed values of those original metrics to make them proportional and thus representable on one graph.</p>
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<p>ANOSIM boxplots for the stream datasets showing distribution of compositional similarity among groups across the invasion gradient from most invaded (A) to uninvaded (E). For each dataset, differences in species composition from the ANOSIM statistic are attributed to groups A and B, with moderately invaded (C) sites showing compositional affinity to the uninvaded end of the gradient and a strong overlap with between-group similarity. See <a href="#biology-13-00275-f003" class="html-fig">Figure 3</a> caption for additional information on boxplot interpretation.</p>
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<p>Species accumulation curves and Rényi profiles for the stream datasets. See <a href="#biology-13-00275-f004" class="html-fig">Figure 4</a> caption for comments on interpretation.</p>
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<p>X–Y scatterplot of mean native species richness and invasive species abundance for all taxa in both the wetland and stream studies. On each graph, the vertical “10% threshold” line is projected from the invasion gradient (red line) upward and intersecting with the native richness polynomial trendline for wetlands (green) and streams (blue). In all cases, the 10% line coincides with the peak or the start of the receding limb for the “hump” in the native richness curve.</p>
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14 pages, 2581 KiB  
Article
The Female-Biased General Odorant Binding Protein 2 of Semiothisa cinerearia Displays Binding Affinity for Biologically Active Host Plant Volatiles
by Jingjing Tu, Zehua Wang, Fan Yang, Han Liu, Guanghang Qiao, Aihuan Zhang and Shanning Wang
Biology 2024, 13(4), 274; https://doi.org/10.3390/biology13040274 - 18 Apr 2024
Viewed by 1330
Abstract
Herbivorous insects rely on volatile chemical cues from host plants to locate food sources and oviposition sites. General odorant binding proteins (GOBPs) are believed to be involved in the detection of host plant volatiles. In the present study, one GOBP gene, ScinGOBP2, [...] Read more.
Herbivorous insects rely on volatile chemical cues from host plants to locate food sources and oviposition sites. General odorant binding proteins (GOBPs) are believed to be involved in the detection of host plant volatiles. In the present study, one GOBP gene, ScinGOBP2, was cloned from the antennae of adult Semiothisa cinerearia. Reverse-transcription PCR and real-time quantitative PCR analysis revealed that the expression of ScinGOBP2 was strongly biased towards the female antennae. Fluorescence-based competitive binding assays revealed that 8 of the 27 host plant volatiles, including geranyl acetone, decanal, cis-3-hexenyl n-valerate, cis-3-hexenyl butyrate, 1-nonene, dipentene, α-pinene and β-pinene, bound to ScinGOBP2 (KD = 2.21–14.94 μM). The electrical activities of all eight ScinGOBP2 ligands were confirmed using electroantennography. Furthermore, oviposition preference experiments showed that eight host volatiles, such as decanal, cis-3-hexenyl n-valerate, cis-3-hexenyl butyrate, and α-pinene, had an attractive effect on female S. cinerearia, whereas geranyl acetone, 1-nonene, β-pinene, and dipentene inhibited oviposition in females. Consequently, it can be postulated that ScinGOBP2 may be implicated in the perception of host plant volatiles and that ScinGOBP2 ligands represent significant semiochemicals mediating the interactions between plants and S. cinerearia. This insight could facilitate the development of a chemical ecology-based approach for the management of S. cinerearia. Full article
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<p>Alignment of amino acid sequences of ScinGOBP2. Only the mature proteins were aligned. The black triangles show the six highly conserved cysteine residues. EoblGOBP2 (<span class="html-italic">Ectropis obliqua</span>, ACN29681.1); SlitGOBP2 (<span class="html-italic">S. litura</span>, XP_022817877.1); CpomGOBP2 (<span class="html-italic">C. pomonella</span>, AFP66958.1).</p>
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<p><span class="html-italic">ScinGOBP2</span> transcript levels in different tissues were assessed via RT–PCR and qRT–PCR. The error bars represent the standard error, and the different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Characteristics of binding interaction exhibited by ScinGOBP2. The affinity of ScinGOBP2 to the fluorescent probe 1-NPN is illustrated through a binding curve (<b>A</b>) and Scatchard plot (<b>B</b>). (<b>C</b>) depicts competitive binding curves that demonstrate the binding of ScinGOBP2 to the selected ligands.</p>
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<p>Molecular docking of ScinGOBP2 with (<b>A</b>) geranyl acetone, (<b>B</b>) decanal, (<b>C</b>) <span class="html-italic">cis</span>-3-hexenyl n-valerate, (<b>D</b>) <span class="html-italic">cis</span>-3-hexenyl butyrate, (<b>E</b>) 1-nonene, (<b>F</b>) dipentene, (<b>G</b>) α-pinene, and (<b>H</b>) β-pinene.</p>
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<p>EAG responses of female and male <span class="html-italic">S. cinerearia</span> antennae in response to various ligands of ScinGOBP2. Distinct uppercase letters denote significant differences between females and males, while distinct lowercase letters signify significant differences among different chemicals (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Oviposition preference of female <span class="html-italic">S. cinerearia</span> adults for ScinGOBP2 ligands. (<b>A</b>) Schematic diagram of the two-choice oviposition assay. (<b>B</b>) Oviposition preference index of females towards eight compounds. Different letters represent significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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15 pages, 3029 KiB  
Article
Potential of a Bead-Based Multiplex Assay for SARS-CoV-2 Antibody Detection
by Karla Rottmayer, Mandy Schwarze, Christian Jassoy, Ralf Hoffmann, Henry Loeffler-Wirth and Claudia Lehmann
Biology 2024, 13(4), 273; https://doi.org/10.3390/biology13040273 - 18 Apr 2024
Viewed by 1474
Abstract
Serological assays for SARS-CoV-2 play a pivotal role in the definition of whether patients are infected, the understanding of viral epidemiology, the screening of convalescent sera for therapeutic and prophylactic purposes, and in obtaining a better understanding of the immune response towards the [...] Read more.
Serological assays for SARS-CoV-2 play a pivotal role in the definition of whether patients are infected, the understanding of viral epidemiology, the screening of convalescent sera for therapeutic and prophylactic purposes, and in obtaining a better understanding of the immune response towards the virus. The aim of this study was to investigate the performance of a bead-based multiplex assay. This assay allowed for the simultaneous testing of IgG antibodies against SARS-CoV-2 spike, S1, S2, RBD, and nucleocapsid moieties and S1 of seasonal coronaviruses hCoV-22E, hCoV-HKU1, hCoV-NL63, and hCoV-OC43, as well as MERS and SARS-CoV. We compared the bead-based multiplex assay with commercial ELISA tests. We tested the sera of 27 SARS-CoV-2 PCR-positive individuals who were previously tested with different ELISA assays. Additionally, we investigated the reproducibility of the results by means of multiple testing of the same sera. Finally, the results were correlated with neutralising assays. In summary, the concordance of the qualitative results ranged between 78% and 96% depending on the ELISA assay and the specific antigen. Repeated freezing–thawing cycles resulted in reduced mean fluorescence intensity, while the storage period had no influence in this respect. In our test cohort, we detected up to 36% of sera positive for the development of neutralising antibodies, which is in concordance with the bead-based multiplex and IgG ELISA. Full article
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<p>(<b>a</b>) Overview of the validation cohorts. (<b>b</b>) Diagram of the freezing and thawing cycles. The numbers in the circle indicate the sequence of the individual work steps. For multiple freezing and thawing cycles, steps 5 and 6 are repeated accordingly.</p>
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<p>The boxplot displays the percentage decrease in antibodies against various domains of SARS-CoV-2, including the (<b>a</b>) full spike, (<b>b</b>) S1, (<b>c</b>) RBD, (<b>d</b>) S2, and (<b>e</b>) nucleocapsid protein, with each freeze–thaw cycle. Time 1 represents the percentage MFI value after first FTC, time 2 represents the percentage MFI value after the second FTC, and time 3 represents the percentage MFI value after the third FTC. *** indicate a <span class="html-italic">p</span>-value &lt; 0.001, and ** indicate a <span class="html-italic">p</span>-value &lt; 0.01. The coefficients of variance (CV) of the domain-specific MFI values are shown at the top for each FTC. NS indicates “not significant”.</p>
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<p>The correlation between the percentage MFI values of the full spike antibody and the storage duration was examined. The results are shown in (<b>a</b>) for the sera after the second freeze–thaw cycle and in (<b>b</b>) for the sera after the third freeze–thaw cycle. The linear regression equation and adjusted R<sup>2</sup> values are displayed in the top right corner. The black dots mark individual serum samples.</p>
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<p>Comparison between the antibody detection using the bead-based multiplexing method and various commercial ELISA/CLIA tests: RBD IgG assay from Siemens (<b>a</b>) and Mediagnost (<b>b</b>); S1 IgG ELISA from Euroimmun (<b>c</b>) and nucleocapsid protein antibody assay from Roche (<b>d</b>), Abbott (<b>e</b>), Virotech (<b>f</b>), and Novatech (<b>g</b>). Concordance is represented by blue and yellow, while disconcordance is represented by orange and grey.</p>
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<p>Comparison of sera (<span class="html-italic">n</span> = 58) for RBD IgG antibody detection using the bead-based multiplex assay (Luminex<sup>TM</sup>) and the ELISA developed by Schwarze et al. [<a href="#B1-biology-13-00273" class="html-bibr">1</a>] with a neutralisation test developed by the same authors. (<b>a</b>) Bead-based multiplex assay compared to neutralising assay. (<b>b</b>) ELISA compared with neutralisation test. (<b>c</b>) Comparison of bead-based multiplex assay (Luminex<sup>TM</sup>) and ELISA tests. Concordance is represented by blue and yellow, while disconcordance is represented by orange and grey.</p>
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20 pages, 3356 KiB  
Article
Multiomics Picture of Obesity in Young Adults
by Olga I. Kiseleva, Mikhail A. Pyatnitskiy, Viktoriia A. Arzumanian, Ilya Y. Kurbatov, Valery V. Ilinsky, Ekaterina V. Ilgisonis, Oksana A. Plotnikova, Khaider K. Sharafetdinov, Victor A. Tutelyan, Dmitry B. Nikityuk, Elena A. Ponomarenko and Ekaterina V. Poverennaya
Biology 2024, 13(4), 272; https://doi.org/10.3390/biology13040272 - 18 Apr 2024
Cited by 1 | Viewed by 1757
Abstract
Obesity is a socially significant disease that is characterized by a disproportionate accumulation of fat. It is also associated with chronic inflammation, cancer, diabetes, and other comorbidities. Investigating biomarkers and pathological processes linked to obesity is especially vital for young individuals, given their [...] Read more.
Obesity is a socially significant disease that is characterized by a disproportionate accumulation of fat. It is also associated with chronic inflammation, cancer, diabetes, and other comorbidities. Investigating biomarkers and pathological processes linked to obesity is especially vital for young individuals, given their increased potential for lifestyle modifications. By comparing the genetic, proteomic, and metabolomic profiles of individuals categorized as underweight, normal, overweight, and obese, we aimed to determine which omics layer most accurately reflects the phenotypic changes in an organism that result from obesity. We profiled blood plasma samples by employing three omics methodologies. The untargeted GC×GC–MS metabolomics approach identified 313 metabolites. To augment the metabolomic dataset, we integrated a label-free HPLC–MS/MS proteomics method, leading to the identification of 708 proteins. The genomic layer encompassed the genotyping of 647,250 SNPs. Utilizing omics data, we trained sparse Partial Least Squares models to predict body mass index. Molecular features exhibiting frequently non-zero coefficients were selected as potential biomarkers, and we further explored enriched biological pathways. Proteomics was the most effective in single-omics analyses, with a median absolute error (MAE) of 5.44 ± 0.31 kg/m2, incorporating an average of 24 proteins per model. Metabolomics showed slightly lower performance (MAE = 6.06 ± 0.33 kg/m2), followed by genomics (MAE = 6.20 ± 0.34 kg/m2). As expected, multiomic models demonstrated better accuracy, particularly the combination of proteomics and metabolomics (MAE = 4.77 ± 0.33 kg/m2), while including genomics data did not enhance the results. This manuscript is the first multiomics study of obesity in a gender-balanced cohort of young adults profiled by genomic, proteomic, and metabolomic methods. The comprehensive approach provides novel insights into the molecular mechanisms of obesity, opening avenues for more targeted interventions. Full article
(This article belongs to the Special Issue Multi-Omics Co-expression Network Analysis)
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<p>The overall workflow of the experiment to investigate the molecular mechanisms of obesity.</p>
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<p>Data analysis workflow. In brief, sPLS regression was used to predict patient BMI based on three distinct omics layers. The cross-validation procedure was implemented to mitigate the risk of overfitting. The model’s performance was assessed via the median absolute error metric (MAE). Features selected as significant BMI predictors were subjected to overrepresentation analysis.</p>
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<p>Overrepresentation analysis of protein BMI predictors. The geneRatio value (x-axis) is the proportion of genes in a specific function/pathway from the total differentially expressed genes. The dot size is proportional to the gene count enriched in the pathway. The color of the dot shows the significance of pathway enrichment. FDR—false discovery rate.</p>
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<p>Overrepresentation analysis of metabolic BMI predictors. The geneRatio value (x-axis) is the proportion of genes in a specific function/pathway from the total differentially expressed genes. The dot size is based on the gene count enriched in the pathway, and the dot color shows the significance of pathway enrichment. FDR—false discovery rate.</p>
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<p>Comparison of several single and multiomics models for BMI prediction. All models employ sparse PLS regression and were trained via 100 runs of 10-fold cross-validation. Outliers are marked with black dots.</p>
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<p>Relevance associations network connecting features from three omics layers. Proteins are represented by ellipses, metabolites by diamonds, and SNPs by rectangles. Edge width is proportional to the variable similarity. Red edges indicate a positive correlation. Blue edges indicate a negative correlation.</p>
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15 pages, 4176 KiB  
Article
Systemic Effects of a Phage Cocktail on Healthy Weaned Piglets
by Yankun Liu, Yan Lin and Weiyun Zhu
Biology 2024, 13(4), 271; https://doi.org/10.3390/biology13040271 - 18 Apr 2024
Cited by 1 | Viewed by 1424
Abstract
Numerous studies have demonstrated that bacteriophages (phages) can effectively treat intestinal bacterial infections. However, research on the impact of phages on overall body health once they enter the intestine is limited. This study utilized weaned piglets as subjects to evaluate the systemic effects [...] Read more.
Numerous studies have demonstrated that bacteriophages (phages) can effectively treat intestinal bacterial infections. However, research on the impact of phages on overall body health once they enter the intestine is limited. This study utilized weaned piglets as subjects to evaluate the systemic effects of an orally administered phage cocktail on their health. Twelve 21-day-old weaned piglets were divided into control (CON) and phage gavage (Phages) groups. The phage cocktail consisted of five lytic phages, targeting Salmonella enterica serovar Choleraesuis (S. choleraesuis), Enteropathogenic Escherichia coli (EPEC), and Shiga tox-in-producing Escherichia coli (STEC). The phages group received 10 mL of phage cocktail orally for 20 consecutive days. The results show that the phage gavage did not affect the piglets’ growth performance, serum biochemical indices, or most organ indices, except for the pancreas. However, the impact on the intestine was complex. Firstly, although the pancreatic index decreased, it did not affect the secretion of digestive enzymes in the intestine. Secondly, phages increased the pH of jejunum chyme and relative weight of the ileum, and enhanced intestinal barrier function without affecting the morphology of the intestine. Thirdly, phages did not proliferate in the intestine, but altered the intestinal microbiota structure and increased concentrations of microbial metabolites isobutyric acid and isovaleric acid in the colonic chyme. In addition, phages impacted the immune status, significantly increasing serum IgA, IgG, and IgM, as well as serum and intestinal mucosal IFN-γ, IL-1β, IL-17, and TGF-β, and decreasing IL-4 and IL-10. They also activated toll-like receptors TLR-4 and TLR-9. Apart from an increase in basophil numbers, the counts of other immune cells in the blood did not change. This study indicates that the impact of phages on body health is complex, especially regarding immune status, warranting further attention. Short-term phage gavage did not have significant negative effects on health but could enhance intestinal barrier function. Full article
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<p>Quantification of phages in feces and colon digesta (<b>A</b>) and effects of phage cocktail on the serum antioxidant capacity of piglets (<b>B</b>). Note: Different letters mean a significant difference between the groups (<span class="html-italic">p</span> &lt; 0.05), while no letter or the same letters mean no significant difference; * represents a significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of phage cocktail on the levels of inflammatory cytokine (<b>A</b>), Ig and TLR receptors (<b>B</b>) in serum and intestinal mucosa of piglets. Note: * represents <span class="html-italic">p</span> &lt; 0.05, ** represents <span class="html-italic">p</span> &lt; 0.01, and *** represents <span class="html-italic">p</span> &lt; 0.001. The same is applied to other figures.</p>
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<p>Effects of phage cocktail on the levels of DAO, D-lactic acid, endotoxin in serum (<b>A</b>) and tight junction proteins in intestinal mucosa (<b>B</b>) of piglets. Note: * represents <span class="html-italic">p</span> &lt; 0.05 and *** represents <span class="html-italic">p</span> &lt; 0.001. The same is applied to other figures.</p>
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<p>Effects of phage cocktail on fecal bacteria community. (<b>A</b>) Principal coordinate analysis (PCoA) of fecal microbiota based on Bray-Curtis distance. (<b>B</b>) The composition of the gut microbiota at various taxonomic levels. Note: Only the top 15 bacteria families and genera are displayed at the family and genus levels.</p>
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<p>Analysis of differential bacteria (<b>A</b>,<b>B</b>) and bacterial metabolites (<b>C</b>). Note: * represents <span class="html-italic">p</span> &lt; 0.05.</p>
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21 pages, 5247 KiB  
Article
Antihypertensive Potential of Japanese Quail (Couturnix Couturnix Japonica) Egg Yolk Oil (QEYO) in Sprague Dawley Rats
by Muhammad Sani Ismaila, Sherifat Olayemi Balogun-Raji, Fahad Hamza, Usman Bello Sadiya, Buhari Salisu, Mohammed Umar, Ishaka Aminu and Kegan Romelle Jones
Biology 2024, 13(4), 270; https://doi.org/10.3390/biology13040270 - 18 Apr 2024
Viewed by 1426
Abstract
Oils from animal sources have been used for centuries in the management of diseases. This research was conducted to screen the ex vivo and in vivo toxicity of quail egg yolk oil (QEYO) extracts and assess their effects on the management of hypertension [...] Read more.
Oils from animal sources have been used for centuries in the management of diseases. This research was conducted to screen the ex vivo and in vivo toxicity of quail egg yolk oil (QEYO) extracts and assess their effects on the management of hypertension in rats. QEYO was extracted using gentle heating (GH) and n-hexane (NHN). The extracts were subjected to toxicity testing using the hen’s egg test on chorioallantoic membrane (HET-CAM) and bovine corneal histology test. Acute and sub-chronic toxicity (28 days) were evaluated in rats. Hypertension was induced in rats by administering 80 mg/kg of Nω-L-Arginine Methyl Ester (L-NAME) per day for 28 days. Treatments commenced on the 14th day; Nifedipine at 30 mg/kg and 1 mL of distilled water were administered as positive and negative controls. Blood pressure (BP), lipid profiles, and oxidative stress markers were quantified. No irritation was observed using the HET-CAM test in the egg treated with both extracts. Bovine corneal histology showed no lesions in all treated groups. No signs of toxicity were observed in either acute or sub-chronic toxicity studies. A significant reduction in blood pressure was observed in rats treated with the extracts (p < 0.05). Changes in total cholesterol (TC), triglycerides (TGs), low-density lipoproteins (LDLPs), and high-density lipoproteins (HDLPs) were not significant compared to the control (p > 0.05). Oxidative stress markers (SOD and CAT) increased significantly in the treated groups compared to the control, while the malondialdehyde levels decreased (p < 0.05). QEYO was safe in both ex vivo and in vivo studies and can be said to have the potential to lower blood pressure as well as cardio-protective effects in hypertensive rats. This research provides evidence based on which QEYO could be used safely as an adjuvant therapy in eye drops and cosmetics and can be considered an effective choice for preventing hypertension. Full article
(This article belongs to the Special Issue Pathophysiology of Hypertension and Related Diseases)
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<p>HET-CAM irritation. The arrows indicate observation areas on the egg CAMs. (<b>A</b>) Before treatment with 0.1 mL Na OH (negative control showing no sign of toxicity or coagulation on the blood vessels); (<b>B</b>) after treatment with 0.2 mL Na OH (positive control showing irritation and coagulation of blood on the vessels); (<b>C</b>) after treatment with 0.2 mL n-hexane quail egg yolk oil extract (showing no irritation or coagulation of blood); (<b>D</b>) after treatment with 0.2 mL gentle heating quail egg yolk oil (showing no toxicity to the blood vessels).</p>
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<p>Gross appearance of the bovine cornea after inoculation with the positive control and different concentrations of the test substance: (<b>A</b>) 0.1 mL normal saline (negative control); (<b>B</b>) 100% ethanol (positive control); (<b>C</b>) 0.1 mL (QEYO-GH); (<b>D</b>) 0.1 mL (QEYO-n-Hexane); (<b>E</b>) 0.2 mL (QEYO-GH); (<b>F</b>) 0.2 mL (QEYO-n-Hexane).</p>
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<p>Histopathological sections of bovine corneas showing the negative control (0.1 mL of 0.9%NaCl) and positive control (0.1 mL of 100% ethanol) as well as the QEYONH (0.1 and 0.2 mL)-treated and QEYOGH (0.1 and 0.2 mL)-treated groups. (<b>1a</b>) Corneal stratified squamous epithelium (white arrow), collagenous stroma (black arrows), and Descemet’s membrane (long black arrow); (<b>1b</b>) corneal stratified squamous epithelium (white arrow), collagenous stroma (blue arrows), and ciliary body (double black arrows). (<b>2a</b>) Corneal stratified squamous epithelium (white arrow), collagenous stroma (black arrows), and Descemet’s membrane (long black arrow); (<b>2b</b>) ciliary body (white arrows) and scleral stroma (double black arrows); (<b>2c</b>) retina (white arrow) and scleral stroma (double black arrows); (<b>2d</b>) optic nerve. (<b>3a</b>) Corneal stratified squamous epithelium (white arrow), collagenous stroma (double black arrows), and Descemet’s membrane (long arrow); (<b>3b</b>) corneal stratified squamous epithelium (white arrow), collagenous stroma (black arrows head), and ciliary body (double black arrows); (<b>3c</b>) retina (white arrow) and scleral stroma (double black arrows). (<b>4a</b>) Corneal stratified squamous epithelium (white arrow), collagenous stroma (double black arrows), and Descemet’s membrane (long arrow); (<b>4b</b>) corneal stratified squamous epithelium (white arrow), collagenous stroma (black arrows head), and ciliary body (double black arrows); (<b>4c</b>) retina (white arrow) and scleral stroma (double black arrows); (<b>4d</b>) the optic nerve. All the slides were stained using hematoxylin and eosin and viewed using light microscopy at a ×100 magnification.</p>
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<p>Histological sections of the liver, kidney, and brain. (<b>1a</b>) Liver: section show normal portal triad (arrow) and hepatocytes arranged in cords (short arrow); H&amp;E × 100. (<b>1b</b>) Kidney: section shows regular glomerulus (Long arrow) and renal tubules (short arrow); H&amp;E × 100. (<b>1c</b>) Brain: section shows regular neutrophils; H&amp;E × 100. (<b>2a</b>) Liver: section shows normal hepatic central vein (long arrow), hepatocytes arranged in cords (short arrow), and sinusoidal space (arrow head); H&amp;E × 100. (<b>2b</b>) Kidney: section shows regular glomerulus (long arrow) and renal tubules (short arrow); H&amp;E × 100. (<b>2c</b>) Brain: section show regular neutrophils; H&amp;E × 100. (<b>3a</b>) Liver: section show normal hepatic central vein (long arrow), hepatocytes arranged in cords (short arrow), and sinusoidal space (arrow head); H&amp;E × 100. (<b>3b</b>) Kidney: section shows regular glomerulus (long arrow) and renal tubules (short arrow); H&amp;E × 100. (<b>3c</b>) Brain: section show regular neutrophils; H&amp;E × 100.</p>
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<p>The mean SBP plot comparison from day 0 to day 28. Systolic blood pressure of rats treated with L-NAME (80 mg/kg) followed by treatment with different doses of quail egg yolk oil extracted using gentle heating (QEYOGH) and quail egg yolk oil extracted using <span class="html-italic">n</span>-hexane (QEYONH). Nifedipine (30 mg/kg/day) was used as a standard control drug. * Indicates a significant decrease in SBP in the groups treated with the higher doses of the extract and the positive control compared to the control non-treated group at 21 and 28 days (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Diastolic blood pressure of rats treated with L-NAME (80 mg/kg) followed by treatment with different doses of quail egg yolk oil extracted using gentle heating (QEYOGH) and quail egg yolk oil extracted using <span class="html-italic">n</span>-hexane (QEYONH). Nifedipine (30 mg/kg/day) was used as a standard control drug. * Indicates a significant decrease in DBP in the groups treated with the higher doses of the extract and the positive control compared to the control non-treated group at 21 and 28 days (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p><b>Plate 1</b>: Photomicrograph of the heart of a rat induced with hypertension using L-NAME (80 mg/kg/day) and treated with 1 mL/kg of distilled water showing loss of architecture of the heart and oedema. There is also narrowing of the coronary artery due to thickness around the arterial lumen, H&amp;E × 100; A = loss of architecture, B = narrowing of arterial lumen, C = arteriosclerosis. <b>Plate 2</b>: Photomicrograph of the heart of a rat induced with hypertension using L-NAME (80 mg/kg/day) and treated with nifedipine at 30 mg/kg/day showing normal architecture of the heart with normal myocytes and coronary artery of the heart, H&amp;E × 100; A = normal heart wall. <b>Plate 3</b>: Photomicrograph of the heart of a rat induced with hypertension using L-NAME (80 mg/kg/day) and administered QEONH at 300 mg/kg showing slight enlargement of the myocytes and coronary artery of the heart, H&amp;E × 100; A = slight enlargement of arterial wall. <b>Plate 4</b>: Photomicrograph of the heart of a rat induced with hypertension using L-NAME (80 mg/kg/day) and treated with quail egg yolk oil obtained by gentle hearting at 300 mg/kg showing normal architecture of the heart with normal myocytes and coronary artery, H&amp;E × 100; A = coronary arterial wall, B = arterial lumen.</p>
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19 pages, 6346 KiB  
Review
Postnatal Growth and Development of the Rumen: Integrating Physiological and Molecular Insights
by Binod Pokhrel and Honglin Jiang
Biology 2024, 13(4), 269; https://doi.org/10.3390/biology13040269 - 18 Apr 2024
Cited by 1 | Viewed by 2157
Abstract
The rumen plays an essential role in the physiology and production of agriculturally important ruminants such as cattle. Functions of the rumen include fermentation, absorption, metabolism, and protection. Cattle are, however, not born with a functional rumen, and the rumen undergoes considerable changes [...] Read more.
The rumen plays an essential role in the physiology and production of agriculturally important ruminants such as cattle. Functions of the rumen include fermentation, absorption, metabolism, and protection. Cattle are, however, not born with a functional rumen, and the rumen undergoes considerable changes in size, histology, physiology, and transcriptome from birth to adulthood. In this review, we discuss these changes in detail, the factors that affect these changes, and the potential molecular and cellular mechanisms that mediate these changes. The introduction of solid feed to the rumen is essential for rumen growth and functional development in post-weaning calves. Increasing evidence suggests that solid feed stimulates rumen growth and functional development through butyric acid and other volatile fatty acids (VFAs) produced by microbial fermentation of feed in the rumen and that VFAs stimulate rumen growth and functional development through hormones such as insulin and insulin-like growth factor I (IGF-I) or through direct actions on energy production, chromatin modification, and gene expression. Given the role of the rumen in ruminant physiology and performance, it is important to further study the cellular, molecular, genomic, and epigenomic mechanisms that control rumen growth and development in postnatal ruminants. A better understanding of these mechanisms could lead to the development of novel strategies to enhance the growth and development of the rumen and thereby the productivity and health of cattle and other agriculturally important ruminants. Full article
(This article belongs to the Section Physiology)
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<p>Macroscopic view of the internal surface of the rumen. (<b>A</b>) The rumen of a newborn calf; (<b>B</b>) The rumen of an adult steer. Note that compared to the newborn rumen, the inner surface of the adult rumen is covered with large rumen papillae.</p>
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<p>(<b>A</b>) Microscopic view of the rumen wall. The section was cut from the rumen of a newborn calf and stained with hematoxylin and eosin. a: rumen papilla; b: mucosal and submucosal layer; c: muscular layer; d: serosal layer. (<b>B</b>) Schematic representation of different cellular layers of the rumen epithelium.</p>
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<p>Schematic representation of absorption and metabolism of volatile fatty acids. CA: carbonic anhydrase; VFA: volatile fatty acids; ACSS1: acyl-CoA synthetase short-chain family member 1; ACADS: acyl-CoA dehydrogenase short-chain; ECHS1: enoyl-CoA hydratase, short chain 1; ACAT1: acetyl-CoA acetyltransferase 1; EHHADH: enoyl-CoA hydratase and 3-hydroxyacyl CoA dehydrogenase; HMGCS2: 3-hydroxy-3-methylglutaryl-CoA synthase 2; HMGCL: 3-hydroxy-3-methylglutaryl-CoA lyase; OXCT1: 3-oxoacid CoA-transferase 1; BDH1: 3-hydroxybutyrate dehydrogenase 1; SDH: succinate dehydrogenase; MDH: malate dehydrogenase; LDH: lactate dehydrogenase.</p>
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<p>The size of rumen papillae in different age groups of cattle. Data obtained, grouped, and interpreted from these publications [<a href="#B13-biology-13-00269" class="html-bibr">13</a>,<a href="#B83-biology-13-00269" class="html-bibr">83</a>,<a href="#B84-biology-13-00269" class="html-bibr">84</a>,<a href="#B85-biology-13-00269" class="html-bibr">85</a>,<a href="#B86-biology-13-00269" class="html-bibr">86</a>,<a href="#B87-biology-13-00269" class="html-bibr">87</a>,<a href="#B88-biology-13-00269" class="html-bibr">88</a>,<a href="#B89-biology-13-00269" class="html-bibr">89</a>,<a href="#B90-biology-13-00269" class="html-bibr">90</a>].</p>
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14 pages, 1720 KiB  
Article
Analysis of Elimination Effects of Inbreeding on Genotype Frequency in Larval Stages of Chinese Shrimp
by Qiang Fu, Jingxin Zhou, Sheng Luan, Ping Dai, Ding Lyu, Baolong Chen, Kun Luo, Jie Kong and Xianhong Meng
Biology 2024, 13(4), 268; https://doi.org/10.3390/biology13040268 - 17 Apr 2024
Viewed by 1356
Abstract
Marine animals possess genomes of considerable complexity and heterozygosity. Their unique reproductive system, characterized by high fecundity and substantial early mortality rates, increases the risk of inbreeding, potentially leading to severe inbreeding depression during various larval developmental stages. In this study, we established [...] Read more.
Marine animals possess genomes of considerable complexity and heterozygosity. Their unique reproductive system, characterized by high fecundity and substantial early mortality rates, increases the risk of inbreeding, potentially leading to severe inbreeding depression during various larval developmental stages. In this study, we established a set of inbred families of Fenneropenaeus chinensis, with an inbreeding coefficient of 0.25, and investigated elimination patterns and the manifestations of inbreeding depression during major larval developmental stages. Reduced-representation genome sequencing was utilized to explore the genotype frequency characteristics across two typical elimination stages. The results revealed notable mortality in hatching and metamorphosis into mysis and post-larvae stages. Inbreeding depression was also evident during these developmental stages, with depression rates of 24.36%, 29.23%, and 45.28%. Segregation analysis of SNPs indicated an important role of gametic selection before hatching, accounting for 45.95% of deviation in the zoea stage. During the zygotic selection phase of larval development, homozygote deficiency and heterozygote excess were the main selection types. Summation of the two types explained 82.31% and 89.91% of zygotic selection in the mysis and post-larvae stage, respectively. The overall distortion ratio decreased from 22.37% to 12.86% in the late developmental stage. A total of 783 loci were identified through selective sweep analysis. We also found the types of distortion at the same locus could change after the post-larvae stage. The predominant shifts included a transition of gametic selection toward normal segregation and other forms of distortion to heterozygous excess. This may be attributed to high-intensity selection on deleterious alleles and genetic hitchhiking effects. Following larval elimination, a greater proportion of heterozygous individuals were preserved. We detected an increase in genetic diversity parameters such as expected heterozygosity, observed heterozygosity, and polymorphic information content in the post-larvae stage. These findings suggest the presence of numerous recessive deleterious alleles and their linkage and suggest a major role of the partial dominance hypothesis. The results provide valuable insights into the mechanisms of inbreeding depression in marine animals and offer guidance for formulating breeding strategies in shrimp populations. Full article
(This article belongs to the Special Issue Advances in Biological Research into Shrimps, Crabs and Lobsters)
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<p>The infographic for larvae development stages.</p>
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<p>Five classifications of zygotic selection SNPs.</p>
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<p>The number of unique tags from each library and their sequencing depth. The vertical axis represents the identification numbers of 74 samples, Q represents the parent sample, H represents the zoea stage, and X represents the post-larvae stage.</p>
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<p>Selective sweep analysis of candidate loci under selection from zoea to post-larvae. The <span class="html-italic">x</span>-axis represents the Log10 (<span class="html-italic">P<sub>i</sub></span> ratio) values, while the <span class="html-italic">y</span>-axis represents the <span class="html-italic">F<sub>ST</sub></span> values, corresponding to the frequency distribution plot located above and to the right, respectively. The topmost green and red regions represent the bottom and top 5% regions selected based on <span class="html-italic">P<sub>i</sub></span> values, while the orange region on the right indicates the top 5% regions selected based on <span class="html-italic">F<sub>ST</sub></span> values. The overlapping red and purple region of the scatter plot in the middle represents the intersection of <span class="html-italic">F<sub>ST</sub></span> and <span class="html-italic">P<sub>i</sub></span> and is considered to represent the candidate loci.</p>
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<p>The SDR distribution of the two primary distorted markers in the zoea stage. The ordinate value refers to segregation distortion values (SDVs) of these markers. Type 2 and type 5 markers refer to those classifications of zygotic selection in <a href="#biology-13-00268-t005" class="html-table">Table 5</a>.</p>
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<p>The main five types of changes in segregation distortion. A: normal segregation to distorted segregation; B: gametic selection to normal segregation; C: homozygous deficiency to heterozygous excess; D: other types of distortion to heterozygous excess; E: other types of distortion to homozygous deficiency.</p>
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16 pages, 2821 KiB  
Article
Antioxidant Responses and Growth Impairment in Cucurbita moschata Infected by Meloidogyne incognita
by Yuh Tzean, Kuang-Teng Wang, Elena Gamboa Chen, Hung-Wen Wang, Tsung-Meng Wu and Chia-An Liu
Biology 2024, 13(4), 267; https://doi.org/10.3390/biology13040267 - 16 Apr 2024
Viewed by 1411
Abstract
Pumpkins (Cucurbita moschata), valued for their nutritional, medicinal, and economic significance, face threats from Meloidogyne incognita, a critical plant-parasitic nematode. This study extensively examines the impact of M. incognita on the growth, physiological, and biochemical responses of C. moschata. [...] Read more.
Pumpkins (Cucurbita moschata), valued for their nutritional, medicinal, and economic significance, face threats from Meloidogyne incognita, a critical plant-parasitic nematode. This study extensively examines the impact of M. incognita on the growth, physiological, and biochemical responses of C. moschata. We demonstrate that M. incognita infection leads to significant growth impairment in C. moschata, evidenced by reduced plant height and biomass, along with the significant development of nematode-induced galls. Concurrently, a pronounced oxidative stress response was observed, characterized by elevated levels of hydrogen peroxide and a significant increase in antioxidant defense mechanisms, including the upregulation of key antioxidative enzymes (superoxide dismutase, glutathione reductase, catalase, and peroxidase) and the accumulation of glutathione. These responses highlight a dynamic interaction between the plant and the nematode, wherein C. moschata activates a robust antioxidant defense to mitigate the oxidative stress induced by nematode infection. Despite these defenses, the persistence of growth impairment underscores the challenge posed by M. incognita to the agricultural production of C. moschata. Our findings contribute to the understanding of plant–nematode interactions, paving the way for the development of strategies aimed at enhancing resistance in Cucurbitaceae crops against nematode pests, thus supporting sustainable agricultural practices. Full article
(This article belongs to the Section Plant Science)
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Figure 1
<p>The impact of root-knot nematodes (RKN, <span class="html-italic">Meloidogyne incognita</span>) on the relative growth and physiological characteristics of pumpkin (<span class="html-italic">Cucurbita moschata</span>). (<b>A</b>) A photograph showing the phenotype of the <span class="html-italic">C. moschata</span> plant taken 42 days post-inoculation (dpi). <span class="html-italic">Meloidogyne incognita</span>-inoculated plants are labeled as Mi-inoculated; the scale bar represents 5 cm. Quantification of the average plant height (<b>B</b>) and the average root length (<b>C</b>). Quantification of the average plant shoot weight (<b>D</b>) and average plant root weight (<b>E</b>). The values represent mean  ±  SE (<span class="html-italic">n</span>  =  5); ** indicates <span class="html-italic">p</span>  ≤  0.01; **** indicates <span class="html-italic">p</span>  ≤  0.0001; and ns denotes no statistical significance. The Student’s <span class="html-italic">t</span> test compares groups as indicated.</p>
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<p>The comparative evaluation of the pumpkin (<span class="html-italic">Cucurbita moschata</span>) root system in response to root-knot nematode (RKN, <span class="html-italic">Meloidogyne incognita</span>) inoculation. (<b>A</b>) Presence of RKN galls on roots seen in <span class="html-italic">C. moschata</span> at 42 days post-inoculation (dpi). <span class="html-italic">Meloidogyne incognita</span>-inoculated plants are labeled as Mi-inoculated; the scale bar represents 1 cm; white arrows indicate observed galls. (<b>B</b>) Measurement for quantifying the number of RKN galls per plant on the roots of <span class="html-italic">C. moschata</span> at 42 dpi. The values represent mean  ±  SE (<span class="html-italic">n</span>  =  5); * indicates <span class="html-italic">p</span>  ≤  0.05. The Student’s <span class="html-italic">t</span> test compares groups as indicated. (<b>C</b>) The severity of gall formation was assessed according to Zeck’s [<a href="#B32-biology-13-00267" class="html-bibr">32</a>] 0–10 scale, where 0 represents no galls, while a score of 10 indicates root necrosis attributed to <span class="html-italic">M. incognita</span> infection. The values represent mean  ±  SE (<span class="html-italic">n</span>  =  5); **** indicates <span class="html-italic">p</span>  ≤  0.0001. The Student’s <span class="html-italic">t</span> test compares groups as indicated.</p>
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<p>The analysis of stress-related parameters, including hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) (<b>A</b>), superoxide radical (O<sub>2</sub><sup>•−</sup>) (<b>B</b>), and malondialdehyde (MDA) (<b>C</b>) content in the roots of pumpkin (<span class="html-italic">Cucurbita moschata</span>) under mock or <span class="html-italic">Meloidogyne incognita</span>-inoculated (Mi-inoculated) conditions at 42 days post-inoculation. The values represent mean  ±  SE (<span class="html-italic">n</span>  =  5); **** indicates <span class="html-italic">p</span>  ≤  0.0001; and ns denotes no statistical significance. The Student’s <span class="html-italic">t</span> test compares groups as indicated.</p>
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<p>Effects of <span class="html-italic">Meloidogyne incognita</span> on the levels of total ascorbate (<b>A</b>), ASC (<b>B</b>), total glutathione (<b>C</b>), and GSSG (<b>D</b>) in <span class="html-italic">Cucurbita moschata</span>. <span class="html-italic">Meloidogyne incognita</span>-inoculated plants are labeled as Mi-inoculated. The values represent mean  ±  SE (<span class="html-italic">n</span>  =  5); *** indicates <span class="html-italic">p</span>  ≤  0.001; and ns denotes no statistical significance. The Student’s <span class="html-italic">t</span> test compares groups as indicated.</p>
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<p>Impact of <span class="html-italic">Meloidogyne incognita</span> on total protein content (<b>A</b>) and antioxidative enzyme activities, including superoxide dismutase (SOD) (<b>B</b>), glutathione reductase (GR) (<b>C</b>), ascorbate peroxidase (APX) (<b>D</b>), catalase (CAT) (<b>E</b>), and peroxidase (POD) (<b>F</b>) in <span class="html-italic">Cucurbita moschata</span>, normalized to protein content. <span class="html-italic">Meloidogyne incognita</span>-inoculated plants are labeled as Mi-inoculated. The values represent mean  ±  SE (<span class="html-italic">n</span>  =  5); * indicates <span class="html-italic">p</span>  ≤  0.05; *** indicates <span class="html-italic">p</span>  ≤  0.001; and ns denotes no statistical significance. The Student’s <span class="html-italic">t</span> test compares groups as indicated.</p>
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<p>Comparative SDS-PAGE analysis of protein profiles from <span class="html-italic">Cucurbita moschata</span> subjected to mock treatment and <span class="html-italic">Meloidogyne incognita</span> infection. 1 represents proteins from mock-treated plants, and 2 represents proteins from <span class="html-italic">M. incognita</span>-infected plants. Constant protein or constant volume indicates whether the loading of protein samples is normalized to total protein (8 μg) or volume (45 μL).</p>
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<p>Native polyacrylamide gel (PAGE) analysis of antioxidative enzyme activities in <span class="html-italic">Cucurbita moschata</span> infected by <span class="html-italic">Meloidogyne incognita</span>. A total of 8 μg of proteins was loaded in each lane. (A) Superoxide dismutase (SOD) isozymes, (B) glutathione reductase (GR) isozymes, (C) ascorbate peroxidase (APX) isozyme, (D) catalase (CAT) isozyme, (E) peroxidase (POD) isozymes, and (F) Coomassie Brilliant blue staining (CBB) for protein quantification. 1, mock; 2, <span class="html-italic">Meloidogyne incognita</span> (Mi)-inoculated. I, II, and III indicate different isoforms.</p>
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41 pages, 20319 KiB  
Review
From Psychostasis to the Discovery of Cardiac Nerves: The Origins of the Modern Cardiac Neuromodulation Concept
by Beatrice Paradiso, Dainius H. Pauza, Clara Limback, Giulia Ottaviani and Gaetano Thiene
Biology 2024, 13(4), 266; https://doi.org/10.3390/biology13040266 - 16 Apr 2024
Viewed by 2026
Abstract
This review explores the historical development of cardiology knowledge, from ancient Egyptian psychostasis to the modern comprehension of cardiac neuromodulation. In ancient Egyptian religion, psychostasis was the ceremony in which the deceased was judged before gaining access to the afterlife. This ritual was [...] Read more.
This review explores the historical development of cardiology knowledge, from ancient Egyptian psychostasis to the modern comprehension of cardiac neuromodulation. In ancient Egyptian religion, psychostasis was the ceremony in which the deceased was judged before gaining access to the afterlife. This ritual was also known as the “weighing of the heart” or “weighing of the soul”. The Egyptians believed that the heart, not the brain, was the seat of human wisdom, emotions, and memory. They were the first to recognize the cardiocentric nature of the body, identifying the heart as the center of the circulatory system. Aristotle (fourth century BC) considered the importance of the heart in human physiology in his philosophical analyses. For Galen (third century AD), the heart muscle was the site of the vital spirit, which regulated body temperature. Cardiology knowledge advanced significantly in the 15th century, coinciding with Leonardo da Vinci and Vesalius’s pioneering anatomical and physiological studies. It was William Harvey, in the 17th century, who introduced the concept of cardiac circulation. Servet’s research and Marcello Malpighi’s discovery of arterioles and capillaries provided a more detailed understanding of circulation. Richard Lower emerged as the foremost pioneer of experimental cardiology in the late 17th century. He demonstrated the heart’s neural control by tying off the vagus nerve. In 1753, Albrecht von Haller, a professor at Göttingen, was the first to discover the heart’s automaticity and the excitation of muscle fibers. Towards the end of the 18th century, Antonio Scarpa challenged the theories of Albrecht von Haller and Johann Bernhard Jacob Behrends, who maintained that the myocardium possessed its own “irritability”, on which the heartbeat depended, and was independent of neuronal sensitivity. Instead, Scarpa argued that the heart required innervation to maintain life, refuting Galenic notions. In contemporary times, the study of cardiac innervation has regained prominence, particularly in understanding the post-acute sequelae of SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) infection (PASC), which frequently involves cardiorespiratory symptoms and dysregulation of the intrinsic cardiac innervation. Recently, it has been recognized that post-acute sequelae of acute respiratory infections (ARIs) due to other pathogens can also be a cause of long-term vegetative and somatic symptoms. Understanding cardiac innervation and modulation can help to recognize and treat long COVID and long non-COVID-19 (coronavirus disease 2019) ARIs. This analysis explores the historical foundations of cardiac neuromodulation and its contemporary relevance. By focusing on this concept, we aim to bridge the gap between historical understanding and modern applications. This will illuminate the complex interplay between cardiac function, neural modulation, cardiovascular health, and disease management in the context of long-term cardiorespiratory symptoms and dysregulation of intrinsic cardiac innervations. Full article
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<p>The heart in ancient Egypt. (<b>I</b>) The heart and the interior-ib in medical texts. (<b>A</b>) Heart-haty. (<b>B</b>) Heart-ib or interior-ib [adapted from B. Ziskind [<a href="#B1-biology-13-00266" class="html-bibr">1</a>]]; (<b>II</b>) representation of the heart in the titling of the pharaoh. All the names brought by the king of Egypt constitute his title. Title of Horus Qâ, pharaoh of the 1st dynasty [adapted from B. Ziskind [<a href="#B1-biology-13-00266" class="html-bibr">1</a>]]; (<b>III</b>) the “debdeb” hieroglyph; pulsate in the <span class="html-italic">Ebers Papyrus</span> [adapted from B. Ziskind [<a href="#B2-biology-13-00266" class="html-bibr">2</a>]]; (<b>IV</b>) Anubis weighing the heart of Ani. [adapted from <span class="html-italic">Papyrus of Ani</span>, 1250 b.C, during the Nineteenth Dynasty of the New Kingdom of ancient Egypt. Egyptians dealing in illegal antiques in Luxor in 1888 were responsible for the discovery of the scroll. The purchase was made by E. A. Wallis Budge and, finally, by the British Museum [<a href="#B7-biology-13-00266" class="html-bibr">7</a>]].</p>
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<p>Archangel Michael weighs souls and defeats Satan [adapted from Guariento di Arpo (1310–1370 AD)—Padua, Museo Civico].</p>
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<p>Miracle Heart in Lanciano, Italy. (<b>I</b>) The relics of Lanciano’s Eucharistic miracle. When an 8th-century priest questioned Christ’s presence in the Eucharist, the host was turned into flesh (<b>A</b>) and the wine into blood (<b>B</b>); (<b>II</b>) Miracle Heart in Lanciano. Mallory × 250. A branch of the vagal nerve and an artery; (<b>III</b>) Miracle Heart in Lanciano. Eosine multiplied × 350. A vagal nerve branch. The perineurium is narrow, and the fascicular structure is well preserved. [adapted from N. Nasuti [<a href="#B19-biology-13-00266" class="html-bibr">19</a>]].</p>
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<p>The ancient tabulae of the cardiac innervation. (<b>I</b>) Tabula A “f” Plexus Cardiacus [adapted from Richard Lower Cap I Cordis Anatome in Tractatus De Corde 1669, London [<a href="#B39-biology-13-00266" class="html-bibr">39</a>]]; (<b>II</b>) Plate IV [adapted from Antonio Scarpa’s <span class="html-italic">Tabulae Nevrologicae</span> (<a href="https://www.nlm.nih.gov/exhibition/historicalanatomies/scarpa_home.html" target="_blank">https://www.nlm.nih.gov/exhibition/historicalanatomies/scarpa_home.html</a> (accessed on 8 April 2022)), [<a href="#B44-biology-13-00266" class="html-bibr">44</a>]; (<b>III</b>) Plate II, <a href="#biology-13-00266-f003" class="html-fig">Figure 3</a> “The ganglia and nerves of the left ventricle of a heifer’s heart and cardiac fascia”; (<b>IV</b>) Plate I, <a href="#biology-13-00266-f001" class="html-fig">Figure 1</a> “The nerves of the heart of a child nine years of age”; (<b>V</b>) Plate I, <a href="#biology-13-00266-f002" class="html-fig">Figure 2</a> “The ganglia and nerves at the apex of the left ventricle of the sound human heart” [adapted from Lee, Robert. <span class="html-italic">On the Ganglia and Nerves of the Heart</span>. Philosophical Transactions of the Royal Society of London 139 (1849): 43–46. <a href="https://www.jstor.org/stable/108467" target="_blank">https://www.jstor.org/stable/108467</a> (accessed on 8 April 2022) [<a href="#B45-biology-13-00266" class="html-bibr">45</a>]].</p>
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<p>The modern “tabulae” of the cardiac innervation. (<b>I</b>) Preganglionic nervous center in the thoracic-lumbar region of the spinal cord, situated in intermediolateral nucleus in humans [adapted from Thiene et al., 2019 [<a href="#B48-biology-13-00266" class="html-bibr">48</a>]]; (<b>II</b>) Anatomic representation of the extrinsic-cardiac nerve fibers of the autonomic nervous system—the cardio-acceleratory sympathetic and cardio-inhibitory parasympathetic systems [adapted from Martini, Nath 2006, in Olshansky et al., 2008 [<a href="#B49-biology-13-00266" class="html-bibr">49</a>]]; (<b>III</b>) The “laterality hypothesis”. According to one concept of cortical representation of certain emotions, negative emotions (such as anger and fear) are processed largely in the right hemisphere, whereas good emotions (such as happiness) are processed primarily in the left hemisphere. The right hemisphere is predominantly related to sympathetic activity, whereas the left hemisphere is connected to parasympathetic activity. Most nerve traffic traveling from the brain to the heart is ipsilateral [adapted from Taggart 2013 [<a href="#B50-biology-13-00266" class="html-bibr">50</a>]]; (<b>IV</b>) “laterality hypothesis” and asymmetrical autonomic cardiac innervation. While the left vagus mostly governs ventricular function, the right vagus primarily regulates atrial function. The right-side stellate cardiac nerve is the primary source of sympathetic SA input, respectively, and the right vagus is the primary source of parasympathetic SA input. Therefore, ventricular regulation and pulse pressure are primarily left-sided functions, while autonomic control of heart rate is primarily a right-sided function. [adapted from Kapa 2010 [<a href="#B51-biology-13-00266" class="html-bibr">51</a>]].</p>
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<p>Central autonomic control areas and levels of interaction of autonomic control [adapted from Benarroch 2012, chapter 2 from Biaggioni’s book <span class="html-italic">Primer on the Autonomic Nervous System</span> [<a href="#B64-biology-13-00266" class="html-bibr">64</a>]]. The central control of the sympathetic and parasympathetic nervous systems involves interconnected areas throughout the neuraxis. The central autonomic network plays a crucial role in regulating visceral functions, maintaining homeostasis, and adapting to internal and external challenges. This network operates at four hierarchical levels: spinal, bulbopontine, pontomesencephalic, and forebrain. The spinal level controls segmental reflexes, the bulbopontine level regulates circulation, respiration, and other functions, the pontomesencephalic level integrates autonomic control with pain modulation and stress responses, and the forebrain level includes the hypothalamus for integrated autonomic and endocrine responses. Additionally, components of the anterior limbic circuit in the forebrain are involved in integrating bodily sensations with emotional and goal-related autonomic responses. Sympathetic fibers are highlighted in blue, while parasympathetic fibers are highlighted in red.</p>
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<p>Crucial areas of brain–heart interactions. A number of regions of the forebrain, brainstem, and spinal cord related to autonomic function in humans are shown. The baroreceptor reflex, which mediates the homeostatic control of blood pressure, is illustrated by arrows; the parasympathetic and sympathetic outflows are indicated by the left and right branches of the baroreceptor afferents, respectively. Scale bars show the human brain’s approximate dimensions. [adapted from Chang et al., 2016 [<a href="#B65-biology-13-00266" class="html-bibr">65</a>]].</p>
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<p>Neural control of the heart is integrated at all levels of the neuraxis [adapted from Palma and Benarroch 2014 [<a href="#B74-biology-13-00266" class="html-bibr">74</a>]].</p>
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<p>Heart activity regulation by the brain. The central nervous system (level 3), intrathoracic extra-cardiac neurons (levels 2 and 3), and intracardiac neurons (level 1) all play a role in the autonomic regulation of the heart. [Adapted from Hanna et al., 2017 [<a href="#B75-biology-13-00266" class="html-bibr">75</a>]] SG stands for sympathetic ganglion, DRG for dorsal root ganglion, and ICNS for intracardiac nervous system.</p>
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<p>The old concept of autonomic cardiac control [adapted from Javier G. Castillo, David H. Adams (2012) Cardiac Vagal Ganglia, chapter 37 from Biaggioni’s Book <span class="html-italic">Primer on the Autonomic Nervous System</span> [<a href="#B81-biology-13-00266" class="html-bibr">81</a>]]. The heart receives input from preganglionic sympathetic and parasympathetic nerves originating from the spinal cord and brainstem’s dorsal motor nucleus, respectively. Sympathetic nerve transmission involves a transfer from preganglionic (dashed) to postganglionic (solid) neurons at the sympathetic ganglion chain near the spinal cord. Postganglionic sympathetic neurons then travel to the cardiac plexus, where they interact with preganglionic parasympathetic neurons. Autonomic nerves originating from the cardiac plexus have the ability to form synapses with intrinsic cardiac neurons situated in the network of cardiac ganglia.</p>
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<p>The hypothetical new concept of autonomic cardiac control [adapted from Gourine and Gourine 2014 [<a href="#B82-biology-13-00266" class="html-bibr">82</a>]] The heart’s sensory and efferent neural circuits are represented. <b>AN</b> stands for <b>afferent</b> (sensory) neurons; <b><span style="color:#0066FF">ESN</span></b> stands for <b><span style="color:#0066FF">efferent sympathetic</span></b> neurons; <b><span style="color:red">EPN</span></b> stands for <b><span style="color:red">efferent parasympathetic</span></b> neurons; <b><span style="color:red">VPN</span></b> stands for <b><span style="color:red">vagal</span></b> (parasympathetic) <b><span style="color:red">preganglionic</span></b> neurons; <b><span style="color:#833C0B">IN</span></b> stands for <b><span style="color:#833C0B">interneurons</span></b>; <b><span style="color:#0066FF">SN</span></b> stands for <b><span style="color:#0066FF">sympathoexcitatory</span></b> neurons, and <b><span style="color:#0066FF">SPN</span></b> stands for <b><span style="color:#0066FF">sympathetic preganglionic</span></b> neurons.</p>
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<p>The distribution of different chemical phenotypes of neuronal somata (NS) and nerve fibers (NFs) among the presumed sources of extrinsic cardiac innervation [modified from Navickaite et al., 2021 [<a href="#B83-biology-13-00266" class="html-bibr">83</a>]]. The nodose ganglion contains a significant population of nitrergic neuronal somata (37%); this ganglion is most likely the principal source of nitrergic nerve fibers throughout the vagal nerve and its cardiac branches. However, approximately 7% of neuronal cell bodies in the dorsal vagal nucleus co-express both ChAT and nNOS, indicating that this nucleus may be the origin of a small number of cardiac nitrergic nerve fibers. Furthermore, the dorsal vagal nucleus (DNV) contains tiny interneurons that are positive for nNOS (about 3%), physically resemble conventional interneurons, and most likely act around the nucleus. In the nucleus ambiguous (NAm), approximately 6% of neuronal somata display the biphenotypic characteristics of nNOS and ChAT, although only cholinergic nerve fibers have been observed exiting the nucleus. In both the dorsal vagal nucleus and nucleus ambiguous, a network of nNOS-IR nerve fibers is identified, which, according to existing literature, may originate from the solitary tract nuclei (indicated by the dashed line), where a crowded group of little nitrergic neuronal somata is found. Most sympathetic neuronal somata in the intermediolateral nucleus of the spinal cord co-express choline acetyltransferase and neuronal nitric oxide synthase, indicating that neuronal nitric oxide synthase is involved in the neuromodulation of preganglionic sympathetic neurotransmission. Nevertheless, only a single neuronal soma in the stellate ganglia has positivity for both tyrosine hydroxylase and neuronal nitric oxide synthase. Nitrergic neuronal somata are likewise rare in the dorsal root ganglia, suggesting that merely solitary nitrergic nerve fibers for the heart may come from this ganglionic station. Studies by Rysevaite et al. (2011) [<a href="#B84-biology-13-00266" class="html-bibr">84</a>] and Pauziene et al. (2015, 2017) [<a href="#B85-biology-13-00266" class="html-bibr">85</a>,<a href="#B86-biology-13-00266" class="html-bibr">86</a>] form the basis for the anatomical map of the intrinsic cardiac ganglia’s makeup. Respectively, the following abbreviations (DNV), stand for the dorsal nucleus of the vagal nerve, (X), the hypoglossal nucleus, (Nam), the nucleus ambiguous, and (SIF cells), the tiny, highly fluorescent cells [<a href="#B83-biology-13-00266" class="html-bibr">83</a>].</p>
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<p>Vagal nerve and cardiac SIF cells. (<b>I</b>) Dorsal motor nucleus of the vagus (DMV) endings on small, intensely fluorescent (SIF) cells. Confocal images illustrating how some DMV motor fibers innervate SIF cells (open arrowhead), some innervate principal neurons (PNs, solid arrowhead), and some innervate both [adapted from Cheng et al., 1999 [<a href="#B104-biology-13-00266" class="html-bibr">104</a>]]; (<b>II</b>) Axon terminals from the nucleus ambiguus (NA) did not project to SIF cells. According to a confocal image stack, PNs have extremely dense terminals, whereas SIF cells do not [modified from Cheng et al., 2000 [<a href="#B70-biology-13-00266" class="html-bibr">70</a>]; this may indicate that the NA and DMV motor neuron pools have different functional specializations. I: panel (<b>A</b>) shows a composite projection of confocal optical sections that illustrates a case where PNs in the upper right pole are heavily innervated by DiI-labeled varicosities from the DMV, while the adjacent SIF cells in the lower left pole are not innervated by these DMV fibers. Panel (<b>B</b>) shows an optical section from the stack of sections projected in panel A. This section clearly illustrates the different morphology between the PNs and the SIF cells. Specifically, the image shows a PN that is encircled with some DiI-labeled varicosities, indicated by the solid arrowhead. In contrast, a cluster of SIF cells is identified with the open arrowhead, demonstrating their distinct morphology compared to the PNs. Panel (<b>C</b>) depicts a composite projection of optical sections that illustrates a single DMV axon providing innervation, via varicosities, to both a PN and a SIF cells. Panel (<b>D</b>): The image shows a PN with DiI-labeled varicosities and a cluster of SIF cells that are innervated by tagged DMV varicosities. Panels (<b>E</b>,<b>F</b>) show a composite projection and optical section of a DMV axon that innervates a PN and a nearby cluster of SIF cells. Panel (<b>G</b>,<b>H</b>) are composite projections of confocal images that show DMV axonal innervation in isolated SIF cell clusters without PNs. In II: Based on the detailed search results provided, the key points regarding the relationship between the NA axon endings and the SIF cells are: The NA axon endings do not project to or innervate the SIF cells in the cardiac ganglia. This is clearly demonstrated across multiple panels in the image description: panel (<b>A</b>) shows a projection of confocal images with very dense NA axon endings on the PNs, but not on the adjacent SIF cells. Panels (<b>B</b>,<b>C</b>) further delineate the close contacts of the DiI-labeled NA axon endings on the PNs, while the SIF cell clusters remain uninnervated. Panel (<b>D</b>) provides another example showing that the NA motor fibers innervate only the PNs and not the SIF cells, which are clearly visible but lack any innervation. Panels (<b>E</b>,<b>F</b>) confirm this finding, with the solid triangles indicating the innervated PNs, while the SIF cells (open triangles) remain devoid of NA axon endings. In summary, the search results demonstrate that the NA axon terminals specifically target and innervate the PNs in the cardiac ganglia, but do not project to or form synaptic connections with the SIF cells.</p>
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<p>A representation of the mammalian autonomic nervous system of the heart in schematic form. The illustration demonstrates how preganglionic axons of the sympathetic system leave the spinal cord, connect with second-order sympathetic neurons in the sympathetic chain or, most likely, within the intrinsic cardiac ganglia, and then continue as postganglionic adrenergic axons to supply signals to the various heart cells (depicted in green). Second-order parasympathetic neurons in the epicardial ganglionated nerve plexus (shown in brown) form synapses with the preganglionic axons of the vagus nerve (in brown). While the first four thoracic dorsal root ganglia give origin to axons containing substance P (SP) and calcitonin gene-related peptide (CGRP), cardiac sensory neurons located in the dorsal root and vagus sensory ganglia mostly have nitrergic axons spread to the heart. The cardiac hilum serves as the conduit for all nerves traveling to the heart. Several nitrergic neuronal somata may be found in the epicardial ganglionated nerve plexus, with neuronal nitric oxide (nNO) connecting the neurons in the brain stem and spinal trigeminal nuclei (indicated in blue). Consider seeing the ganglia-adjacent tiny, intensely fluorescent (SIF) cells that synthesize noradrenaline (NA) and adrenaline. Despite the ganglionated nerve plexus’s epicardial placement, the heart’s muscle tissue and endocardium have an incredibly dense interconnected system of sensory and efferent nerve fibers [adapted from Aksu et al., 2021 [<a href="#B107-biology-13-00266" class="html-bibr">107</a>]].</p>
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<p>“Light-Heartedly” is loosely based on the illustration by Massimo Dezzani [adapted from Givone 2022 [<a href="#B112-biology-13-00266" class="html-bibr">112</a>]].</p>
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11 pages, 1684 KiB  
Systematic Review
Prognostic Electrocardiographic Signs in Arrhythmogenic Cardiomyopathy
by Elisabetta Tonet, Francesco Vitali, Veronica Amantea, Giorgia Azzolini, Cristina Balla, Marco Micillo, Davide Lapolla, Luca Canovi and Matteo Bertini
Biology 2024, 13(4), 265; https://doi.org/10.3390/biology13040265 - 16 Apr 2024
Viewed by 1171
Abstract
Arrhythmogenic cardiomyopathy (ACM) is a rare cardiac disease, characterized by the progressive replacement of myocardial tissue with fibrous and fatty deposits. It can involve both the right and left ventricles. It is associated with the development of life-threatening arrhythmias and culminates in sudden [...] Read more.
Arrhythmogenic cardiomyopathy (ACM) is a rare cardiac disease, characterized by the progressive replacement of myocardial tissue with fibrous and fatty deposits. It can involve both the right and left ventricles. It is associated with the development of life-threatening arrhythmias and culminates in sudden cardiac death. Electrocardiography (ECG) has emerged as a pivotal tool, offering diagnostic insights and prognostic information. The specific ECG abnormalities observed in ACM not only contribute to early detection but also hold the key to the prediction of the likelihood of severe complications. The recognition of these nuanced ECG manifestations has become imperative for clinicians as it guides them in the formulation of tailored therapeutic strategies that address both the present symptoms and the potential future risks. Full article
(This article belongs to the Section Medical Biology)
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<p>Study flow.</p>
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<p>Graphical abstract summarizing ECG signs with prognostic value in ACM.</p>
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<p>ECG signs with increasing prognostic value in ACM.</p>
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<p>An ECG of a 42-year-old man summarizing ACM prognostic signs.</p>
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16 pages, 1776 KiB  
Article
First Observations of Buzzards (Buteo) as Definitive Hosts of Sarcocystis Parasites Forming Cysts in the Brain Tissues of Rodents in Lithuania
by Petras Prakas, Marius Jasiulionis, Tautvilė Šukytė, Evelina Juozaitytė-Ngugu, Vitalijus Stirkė, Linas Balčiauskas and Dalius Butkauskas
Biology 2024, 13(4), 264; https://doi.org/10.3390/biology13040264 - 16 Apr 2024
Cited by 1 | Viewed by 1474
Abstract
Representatives of the genus Sarcocystis are worldwide distributed apicomplexan parasites characterised by two-host prey-predator relationships. Sarcocystis spp. produce sarcocysts in the muscles and brains of intermediate hosts and develop sporocysts in the intestines of definitive hosts. Two species, Sarcocystis glareoli and Sarcocystis microti [...] Read more.
Representatives of the genus Sarcocystis are worldwide distributed apicomplexan parasites characterised by two-host prey-predator relationships. Sarcocystis spp. produce sarcocysts in the muscles and brains of intermediate hosts and develop sporocysts in the intestines of definitive hosts. Two species, Sarcocystis glareoli and Sarcocystis microti, previously assigned to the genus Frenkelia, form cysts in the brains of rodents and are transmitted through the common buzzard (Buteo buteo). In our study, brain samples of 694 small mammals caught in different regions of Lithuania were examined for Sarcocystis spp. Additionally, 10 B. buteo and two rough-legged buzzards (Buteo lagopus) were tested for sporocysts of the analysed parasites. Sarcocystis species were identified based on 28S rRNA sequence comparison. Of the eleven species of small mammals tested, Sarcocystis parasites were observed only in the bank vole (Clethrionomys glareolus). Cysts of S. glareoli were detected in 34 out of 374 C. glareolus (9.1%, 95% CI = 6.4–12.5%). Molecular investigation showed the presence of only S. glareoli in the intestines of 50% of B. buteo. Furthermore, two species, Sarcocystis sp. Rod3 and Sarcocystis sp. Rod4, were confirmed in B. lagopus. Our results demonstrate the need for further studies on Sarcocystis cycling between rodents and birds. Full article
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<p>Investigation sites in Lithuania where brain tissues of small mammals were examined for the presence of <span class="html-italic">Sarcocystis</span> pathogens: 1: Aukštikalniai; 2: Bileišiai; 3: Juodkrantė; 4: Kamasta; 5: Kukinis; 6: Lukštas (including also Stelmužė locality); 7: Mieliūnai (including Deikiškiai locality); 8: Sudervė (including Brinkiškės and Saldenė localities); 9: Šešuolėliai; 10: Utena; 11: Vilnius; 12: Zabarauskai; and 13: Žiežmariai. Red dots indicate <span class="html-italic">Sarcocystis</span> spp. detected; grey dots indicate not detected.</p>
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<p>Sarcocysts in brain tissues of <span class="html-italic">C. glareolus</span>: (<b>a</b>): round form, (<b>b</b>): oval form, (<b>c</b>): irregular round form.</p>
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<p>Sporulated oocysts/sporocysts of <span class="html-italic">Sarcocystis</span> spp. found in small intestine mucosal scrapings of buzzards: (<b>a</b>,<b>c</b>): sporulated oocysts; (<b>b</b>,<b>d</b>): sporocysts; (<b>a</b>,<b>b</b>): <span class="html-italic">Sarcocystis</span> spp. from <span class="html-italic">B. lagopus</span>; (<b>c</b>,<b>d</b>): <span class="html-italic">Sarcocystis</span> spp. from <span class="html-italic">B. buteo</span>.</p>
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<p>Maximum likelihood phylogenetic tree of <span class="html-italic">Sarcocystis</span> spp. based on <span class="html-italic">28S</span> rRNA alignment containing 532 nucleotide positions. <span class="html-italic">Sarcocystis myodes</span> was chosen as an outgroup. The HKY + G evolutionary model was used for analysis. GenBank accession numbers of sequences are displayed in parenthesis. Bootstrap values higher than 50 are indicated next to branches. Three <span class="html-italic">Sarcocystis</span> species identified in intestinal mucosa of buzzards from Lithuania are highlighted in red.</p>
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<p>The maximum likelihood phylogram (<b>a</b>) and median-joining network (<b>b</b>) of selected <span class="html-italic">Sarcocystis</span> spp. based on 299 bp long fragment of <span class="html-italic">28S</span> rRNA. <span class="html-italic">Sarcocystis turdusi</span> was used as an outgroup. The Tamura-Nei + G + I evolutionary model was used for ML analysis. GenBank accession numbers are given after species name. The figures next to branches display bootstrap values higher than 50. When multiple sequences were assigned to a single haplotype, only sequences from different hosts are shown in the figure. Hypothetical not determined haplotypes are named mv1–mv4. Dashes indicate mutational steps. Colours respond to <span class="html-italic">Buteo</span> buzzards from which <span class="html-italic">Sarcocystis</span> spp. oocysts/sporocysts were isolated. The <span class="html-italic">S</span>. sp. in our figure correspond to <span class="html-italic">S</span>. <span class="html-italic">jamaicensis</span> in [<a href="#B48-biology-13-00264" class="html-bibr">48</a>].</p>
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14 pages, 3496 KiB  
Article
Effects of Chronic Stress from High Stocking Density in Mariculture: Evaluations of Growth Performance and Lipid Metabolism of Rainbow Trout (Oncorhychus mykiss)
by Zhao Li, Qinfeng Gao, Shuanglin Dong, Kang Dong, Yuling Xu, Yaoping Mei and Zhishuai Hou
Biology 2024, 13(4), 263; https://doi.org/10.3390/biology13040263 - 16 Apr 2024
Viewed by 1681
Abstract
(1) Background: In aquaculture, chronic stress due to high stocking density impairs animals’ welfare and results in declined fishery production with low protein quality. However, most previous studies evaluated the effects of high stocking density on trout in freshwater rather than seawater. (2) [...] Read more.
(1) Background: In aquaculture, chronic stress due to high stocking density impairs animals’ welfare and results in declined fishery production with low protein quality. However, most previous studies evaluated the effects of high stocking density on trout in freshwater rather than seawater. (2) Methods: Juvenile trout were reared for 84 days in circular tanks under three stocking densities, including low density (“LD”, 9.15 kg/m3), moderate density (“MD”, 13.65 kg/m3), and high density (“HD”, 27.31 kg/m3) in seawater. The final densities of LD, MD, and HD were 22.00, 32.05 and 52.24 kg/m3, respectively. Growth performance and lipid metabolism were evaluated. (3) Results: Growth performance and feeding efficiency were significantly reduced due to chronic stress under high density in mariculture. The digestive activity of lipids was promoted in the gut of HD fish, while the concentration of triglycerides was decreased in the blood. Furthermore, decreased acetyl-CoA carboxylase (ACC) and fatty acid synthase (FAS), increased hormone-sensitive lipase (HSL) concentrations, and activated hepatic β-oxidation processes were observed in trout under HD. Redundancy analysis showed that glycerol and HSL can be used as potential markers to evaluate the growth performance of trout in mariculture. (4) Conclusions: We showed that chronic high stocking density led to negative effects on growth performance, reduced de novo synthesis of fatty acids, and enhanced lipolysis. Full article
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<p>Fold change in body weight based on the initial body weight in different treatment groups after 14, 28, 56, and 84 days. Different stocking density groups with different letters are significantly different according to ANOVA models (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Changes in VSI (<b>A</b>), HSI (<b>B</b>), and MSI (<b>C</b>) values in different groups. Values represent the mean ± SD of three replicates (<span class="html-italic">n</span> = 3). Different stocking density groups with different letters are significantly different according to ANOVA models (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Changes in the serum lipid metabolism of rainbow trout stocked under different stocking densities. (<b>A</b>) TG, triglyceride; (<b>B</b>) T-CHO, total cholesterol; (<b>C</b>) LDL-C, low-density lipoprotein cholesterol; (<b>D</b>) HDL-C, high-density lipoprotein cholesterol; (<b>E</b>) TBA, total bile acids. Values represent the mean ± SD of three replicates (<span class="html-italic">n</span> = 3). Different stocking density groups with different letters are significantly different according to ANOVA models (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Changes in the gut lipid metabolism of rainbow trout stocked under different stocking densities. (<b>A</b>) TG, triglyceride; (<b>B</b>) TBA, total bile acids; (<b>C</b>) glycerol; (<b>D</b>) FFA, free fatty acids. Values represent the mean ± SD of three replicates (<span class="html-italic">n</span> = 3). Different stocking density groups with different letters are significantly different according to ANOVA models (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Changes in the liver lipid metabolism of rainbow trout stocked under different stocking densities. (<b>A</b>) TG, triglyceride; (<b>B</b>) T-CHO, total cholesterol; (<b>C</b>) TBA, total bile acids; (<b>D</b>) glycerol; (<b>E</b>) FFA, free fatty acids; (<b>F</b>) FAS, fatty acid synthase; (<b>G</b>) HSL, hormone-sensitive lipase; (<b>H</b>) L-carnitine; (<b>I</b>) CPT-1, carnitine palmitoyltransferase I; (<b>J</b>) ACC, acetyl-CoA carboxylase; (<b>K</b>) ACLY, ATP citrate lyase; (<b>L</b>) Ac-CoA, acetyl coenzyme A. Values represent the mean ± SD of three replicates (<span class="html-italic">n</span> = 3). Different stocking density groups with different letters are significantly different according to ANOVA models (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Multivariate analysis of biochemical lipid indicators in rainbow trout. Principal component analyses (PCA) of the biochemical lipid indicators of the intestines (<b>A</b>), serum (<b>B</b>), and liver (<b>C</b>) in rainbow trout. (<b>D</b>) Redundancy analysis (RDA) of growth performance and lipid substrate/metabolite variables. (<b>E</b>) Redundancy analysis (RDA) of growth performance and lipid–associated catalyzing enzyme variables.</p>
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<p>Integrative map of changes in the lipid metabolism of rainbow trout. Different colors represent significant upregulation or downregulation under HD when compared with LD. Red: upregulation; green: downregulation. TG, triglycerides; T-CHO, total cholesterol; TBA, total bile acids; glycerol; FFA, free fatty acids; FAS, fatty acid synthase; HSL, hormone-sensitive lipase; CPT-1, carnitine palmitoyltransferase I; ACC, acetyl-CoA carboxylase; ACLY, ATP citrate lyase; Ac-CoA, acetyl coenzyme A; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol.</p>
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<p>Dissolved oxygen (DO) under different stocking densities during the experiment. No significant differences were observed among three treatment groups at the same time point.</p>
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12 pages, 6719 KiB  
Article
Activation of Cryptochrome 4 from Atlantic Herring
by Anders Frederiksen, Mandus Aldag, Ilia A. Solov’yov and Luca Gerhards
Biology 2024, 13(4), 262; https://doi.org/10.3390/biology13040262 - 15 Apr 2024
Viewed by 1659
Abstract
Marine fish migrate long distances up to hundreds or even thousands of kilometers for various reasons that include seasonal dependencies, feeding, or reproduction. The ability to perceive the geomagnetic field, called magnetoreception, is one of the many mechanisms allowing some fish to navigate [...] Read more.
Marine fish migrate long distances up to hundreds or even thousands of kilometers for various reasons that include seasonal dependencies, feeding, or reproduction. The ability to perceive the geomagnetic field, called magnetoreception, is one of the many mechanisms allowing some fish to navigate reliably in the aquatic realm. While it is believed that the photoreceptor protein cryptochrome 4 (Cry4) is the key component for the radical pair-based magnetoreception mechanism in night migratory songbirds, the Cry4 mechanism in fish is still largely unexplored. The present study aims to investigate properties of the fish Cry4 protein in order to understand the potential involvement in a radical pair-based magnetoreception. Specifically, a computationally reconstructed atomistic model of Cry4 from the Atlantic herring (Clupea harengus) was studied employing classical molecular dynamics (MD) and quantum mechanics/molecular mechanics (QM/MM) methods to investigate internal electron transfers and the radical pair formation. The QM/MM simulations reveal that electron transfers occur similarly to those found experimentally and computationally in Cry4 from European robin (Erithacus rubecula). It is therefore plausible that the investigated Atlantic herring Cry4 has the physical and chemical properties to form radical pairs that in turn could provide fish with a radical pair-based magnetic field compass sensor. Full article
(This article belongs to the Special Issue The Rules of Life Rethought: Latest Progress in Quantum Biology)
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<p>Illustration of the studied Atlantic herring Cry4 model with a blow-up of the region around the FAD cofactor showing the electron transfer cascade in the FAD-tryptophan chain that is crucial for the RPM. Only the heavy atoms (no hydrogen) of the flavin in the FAD and the heavy atoms of the sidechains of the tryptophan residues are shown. Here, Trp<sub>A–D</sub> denote the conserved tryptophan residues 396, 373, 319, and 370 in the protein.</p>
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<p>Occupations of the tryptophan sites Trp<sub>A</sub>, Trp<sub>B</sub>, Trp<sub>C</sub> and Trp<sub>D</sub> with an electron hole plotted over an interval of 1000 ps (points). (<b>A</b>) averaged over 51 QM/MM simulations; (<b>B</b>) averaged over the 23 simulations where an occupation greater than 0.3 was observed at the Trp<sub>C</sub> or Trp<sub>D</sub> at some time instance. The solid lines represent numerical fits of the averaged data obtained by the kinetic model in Equations (2)–(5).</p>
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<p>(<b>A</b>–<b>C</b>) Site energies <math display="inline"><semantics> <msub> <mi>ϵ</mi> <mi>i</mi> </msub> </semantics></math> of the four Trp residues in the FAD-Trp-chain, where <span class="html-italic">i</span> = A, B, C, D colored red, blue, green and orange respectively, for three simulations with different outcomes: Simulation outcome with high electron hole occupation on Trp<sub>B</sub> (<b>A</b>), Trp<sub>C</sub> (<b>B</b>), and Trp<sub>D</sub> (<b>C</b>). Average electronic couplings <math display="inline"><semantics> <msub> <mi>T</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> </semantics></math> with <span class="html-italic">i</span> and <span class="html-italic">j</span> denoting two neighboring Trp sites A, B, C, or D, and the color corresponds to the acceptor site, calculated over (<b>D</b>–<b>F</b>) all 51 simulations and (<b>G</b>–<b>I</b>) over the 23 simulations with an occupation of Trp<sub>C</sub> or Trp<sub>D</sub> greater than 0.3. The average electronic couplings are plotted over the simulation time in dark color with the corresponding standard deviation in light color.</p>
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<p>Average number of water molecules within 5 Å of each Trp residue within the FAD-Trp chain of ChCry4. (<b>A</b>–<b>D</b>) Black lines: average over all 28 simulations with the radical stuck on Trp<sub>B</sub> for each site. Colored lines: average over the other 23 simulations where the Trp<sub>C</sub> or Trp<sub>D</sub> became radicalized, corresponding to the color-scheme used in <a href="#biology-13-00262-f002" class="html-fig">Figure 2</a>.</p>
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<p>Edge-to-edge distance distributions between Trp<sub>B</sub> and Trp<sub>C</sub> in the QM/MM simulations with Gaussian fitting curves. Black: the results from the simulations with the electron hole stuck on Trp<sub>B</sub>. Red: the results from simulations where the electron hole propagates to Trp<sub>C</sub> or Trp<sub>D</sub>.</p>
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20 pages, 3266 KiB  
Article
Genome-Wide Association Study of Early Vigour-Related Traits for a Rice (Oryza sativa L.) japonica Diversity Set Grown in Aerobic Conditions
by Wenliu Gong, Christopher Proud, Ricky Vinarao, Shu Fukai and Jaquie Mitchell
Biology 2024, 13(4), 261; https://doi.org/10.3390/biology13040261 - 15 Apr 2024
Viewed by 1567
Abstract
Aerobic rice production is a relatively new system in which rice is direct-seeded and grown in non-flooded but well-watered conditions to improve water productivity. Early vigour-related traits are likely to be important in aerobic conditions. This study aimed to identify quantitative trait loci [...] Read more.
Aerobic rice production is a relatively new system in which rice is direct-seeded and grown in non-flooded but well-watered conditions to improve water productivity. Early vigour-related traits are likely to be important in aerobic conditions. This study aimed to identify quantitative trait loci (QTL) and candidate genes associated with early vigour-related traits in aerobic conditions using a japonica rice diversity set. Field experiments and glasshouse experiments conducted under aerobic conditions revealed significant genotypic variation in early vigour-related traits. Genome-wide association analysis identified 32 QTL associated with early vigour-related traits. Notably, two QTL, qAEV1.5 and qAEV8, associated with both early vigour score and mesocotyl length, explained up to 22.1% of the phenotypic variance. In total, 23 candidate genes related to plant growth development and abiotic stress response were identified in the two regions. This study provides novel insights into the genetic basis of early vigour under aerobic conditions. Validation of identified QTL and candidate genes in different genetic backgrounds is crucial for future studies. Moreover, testing the effect of QTL on yield under different environments would be valuable. After validation, these QTL and genes can be considered for developing markers in marker-assisted selection for aerobic rice production. Full article
(This article belongs to the Section Plant Science)
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<p>Principal component analysis biplot for the first two principal components for mesocotyl length (ML), early vigour score (EVS), plant height (PH), days to emergence (DTE), biomass and light interception (LI) in two glasshouse experiments (GH18 and GH21) and three field experiments (FIELD19, FIELD20 and FIELD22), highlighting the origins in different colours.</p>
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<p>Comparison of genotypic origins for (<b>A</b>) mesocotyl length in glasshouse experiment (GH18) and early vigour score (1 is most vigorous) in field experiment in (<b>B</b>) season 2018–2019 (FIELD19), (<b>C</b>) season 2019–2020 (FIELD20) and (<b>D</b>) season 2021–2022 (FIELD22) between Australia and different origins. Significance levels between Australian genotypes and other origins were displayed on the top of each figure: ns, not significant; *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001. The mean of each trait for each origin is displayed below the significance level. The diamonds within each boxplot are the mean of each trait for each region.</p>
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<p>Graphical genotype of 7507 SNP markers detected in the <span class="html-italic">japonica</span> rice diversity set.</p>
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<p>(<b>A</b>) Total variance of each principal component of genotype data. (<b>B</b>) The three principal components (PCs) capturing the variation in genotypes in the <span class="html-italic">japonica</span> diversity set in a principal components analysis 3D plot of genotype data. Colours represent origin of genetic material.</p>
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<p>The Manhattan plot of association study of mesocotyl length (ML) in an aerobic glasshouse experiment (GH18) and early vigour score (EVS) in an aerobic field experiment (FIELD20). <span class="html-italic">qAEV1.5</span> and <span class="html-italic">qAEV8</span> were two quantitative trait loci (QTL) on chromosome 1 and chromosome 8 for early vigour traits. Green line represents threshold of false discovery rate <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Comparison of genotypic origins for the number of positive alleles associated with (<b>A</b>) mesocotyl length in glasshouse experiment (GH18) and early vigour score in field experiment in (<b>B</b>) season 2018–2019 (FIELD19), (<b>C</b>) season 2019–2020 (FIELD20) and (<b>D</b>) season 2021–2022 (FIELD22) between Australia and different origins. Significance levels between Australian genotypes and other origins were displayed on the top of each figure: ns, not significant; *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001. The average number of positive alleles of each origin were displayed below the significance level. The diamonds within each boxplot are the average number of positive alleles of each trait for each region of origin.</p>
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15 pages, 940 KiB  
Article
Risk Assessment and Sources Apportionment of Toxic Metals in Two Commonly Consumed Fishes from a Subtropical Estuarine Wetland System
by Md. Moudud Ahmed, As-Ad Ujjaman Nur, Salma Sultana, Yeasmin N. Jolly, Bilal Ahamad Paray, Takaomi Arai, Jimmy Yu and Mohammad Belal Hossain
Biology 2024, 13(4), 260; https://doi.org/10.3390/biology13040260 - 14 Apr 2024
Cited by 1 | Viewed by 1637
Abstract
The widespread occurrence of heavy metals in aquatic environments, resulting in their bioaccumulation within aquatic organisms like fish, presents potential hazards to human health. This study investigates the concentrations of five toxic heavy metals (Pb, Hg, Zn, Cu, and Cr) and their potential [...] Read more.
The widespread occurrence of heavy metals in aquatic environments, resulting in their bioaccumulation within aquatic organisms like fish, presents potential hazards to human health. This study investigates the concentrations of five toxic heavy metals (Pb, Hg, Zn, Cu, and Cr) and their potential health implications in two economically important fish species (Otolithoides pama and Labeo bata) from a subtropical estuarine wetland system (Feni estuary, Bangladesh). Muscle and gill samples from 36 individual fish were analyzed using energy dispersive X-ray fluorescence (EDXRF). The results revealed that the average quantities of heavy metals in both fishes’ muscle followed the declining order of Zn (109.41–119.93 mg/kg) > Cu (45.52–65.43 mg/kg) > Hg (1.25–1.39 mg/kg) > Pb (0.68–1.12 mg/kg) > Cr (0.31–5.82 mg/kg). Furthermore, Zn was found to be present in the highest concentration within the gills of both species. While the levels of Cu, Zn, and Cr in the fish muscle were deemed acceptable for human consumption, the concentrations of Pb and Hg exceeded the permissible limits (>0.5 mg/kg) for human consumption. Different risk indices, including estimated daily intake (EDI), target hazard quotient (THQ), hazard index (HI), and carcinogenic or target risk (TR), revealed mixed and varying degrees of potential threat to human health. According to the EDI values, individuals consuming these fish may face health risks as the levels of Zn, Cu, and Cr in the muscle are either very close to or exceed the maximum tolerable daily intake (MTDI) threshold. Nevertheless, the THQ and HI values suggested that both species remained suitable for human consumption, as indicated by THQ (<1) and HI (<1) values. Carcinogenic risk values for Pb, Cr, and Zn all remained within permissible limits, with TR values falling below the range of (10−6 to 10−4), except for Zn, which exceeded it (>10−4). The correlation matrix and multivariate principal component analysis (PCA) findings revealed that Pb and Cr primarily stemmed from natural geological backgrounds, whereas Zn, Cu, and Hg were attributed to human-induced sources such as agricultural chemicals, silver nanoparticles, antimicrobial substances, and metallic plating. Given the significance of fish as a crucial and nutritious element of a balanced diet, it is essential to maintain consistent monitoring and regulation of the levels and origins of heavy metals found within it. Full article
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<p>Map of the study area and location of the sampling sites (red circle) in the Feni River Estuary.</p>
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<p>Principal component analysis (PCA) biplot of log-transformed metal concentration in fish tissue.</p>
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11 pages, 1089 KiB  
Article
Population Genetic Assessment Model Reveals Conservation Priorities for Gymnocypris Species Resources on the Qinghai-Tibetan Plateau
by Jinqiang Quan, Yuling Qu, Yongqing Li, Yue Ren, Guiyan Zhao, Lanlan Li and Junhao Lu
Biology 2024, 13(4), 259; https://doi.org/10.3390/biology13040259 - 14 Apr 2024
Viewed by 970
Abstract
The Qinghai-Tibetan Plateau (QTP) has nurtured a rich diversity of species because of its unique geographical and environmental conditions. Gymnocypris species (subfamily Schizopygopsinae) are primitive fishes that live in the special environment of the plateau, and their evolution and distribution are inseparable from [...] Read more.
The Qinghai-Tibetan Plateau (QTP) has nurtured a rich diversity of species because of its unique geographical and environmental conditions. Gymnocypris species (subfamily Schizopygopsinae) are primitive fishes that live in the special environment of the plateau, and their evolution and distribution are inseparable from the historical changes of the QTP. Recently, the resources of Gymnocypris species have been decreasing due to habit deterioration and the intensification of human activities. Therefore, the scientific conservation of the genetic resources of Gymnocypris species is urgently required. In this study, we established two models for the priority conservation assessment of germplasm resources of Gymnocypris species on the basis of the genetic diversity and phylogenetic relationships of 674 individuals from eight Gymnocypris species populations. The results show that the Gymnocypris potanini (GPO), Gymnocypris eckloni (GE), and Gymnocypris przewalskii (GPR) populations are the most genetically diverse in terms of combined genetic diversity values and should be prioritized for conservation. In terms of genetic contribution, the GPO, GE, and GPR populations have a positive impact on maintaining the distinctiveness and diversity of the entire Gymnocypris species population and should be prioritized for conservation. However, in terms of different evolutionary clades, the Gymnocypris namensis, Gymnocypris waddellii, Gymnocypris dobula, and GE populations in clade A should be given priority for protection, the GE population in clade B should be given priority, and the GPR population in clade C should be given priority. In conclusion, the two models and assessment of conservation priorities will provide a scientific basis for the conservation of Gymnocypris species. Full article
(This article belongs to the Section Conservation Biology and Biodiversity)
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<p>(<b>a</b>) Geographical distribution of different <span class="html-italic">Gymnocypris</span> species populations on the QTP. (<b>b</b>) Uniqueness and shared haplotypes of <span class="html-italic">Gymnocypris</span> species in different regions. (<b>c</b>) Haplotype network of different <span class="html-italic">Gymnocypris</span> species populations. (<b>d</b>) Phylogenetic tree for different <span class="html-italic">Gymnocypris</span> species populations. (<b>e</b>) Distribution of <span class="html-italic">Gymnocypris</span> species populations in different evolutionary clades.</p>
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<p>(<b>a</b>) Order of priority protection on the basis of combined genetic diversity values (Fz<sub>(F1)</sub>). (<b>b</b>) Order of priority protection on the basis of overall genetic contribution (C<sub>RT(k)</sub> %). (<b>c</b>) Order of priority protection on the basis of genetic contribution (C<sub>RT(k)</sub> %) of clade A. (<b>d</b>) Order of priority protection on the basis of genetic contribution (C<sub>RT(k)</sub> %) of clade C.</p>
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14 pages, 1849 KiB  
Review
The MCM2-7 Complex: Roles beyond DNA Unwinding
by Brooke D. Rankin and Susannah Rankin
Biology 2024, 13(4), 258; https://doi.org/10.3390/biology13040258 - 13 Apr 2024
Cited by 1 | Viewed by 2143
Abstract
The MCM2-7 complex is a hexameric protein complex that serves as a DNA helicase. It unwinds the DNA double helix during DNA replication, thereby providing the single-stranded replication template. In recent years, it has become clear that the MCM2-7 complex has additional functions [...] Read more.
The MCM2-7 complex is a hexameric protein complex that serves as a DNA helicase. It unwinds the DNA double helix during DNA replication, thereby providing the single-stranded replication template. In recent years, it has become clear that the MCM2-7 complex has additional functions that extend well beyond its role in DNA replication. Through physical and functional interactions with different pathways, it impacts other nuclear events and activities, including folding of the genome, histone inheritance, chromosome segregation, DNA damage sensing and repair, and gene transcription. Collectively, the diverse roles of the MCM2-7 complex suggest it plays a critical role in maintaining genome integrity by integrating the regulation of DNA replication with other pathways in the nucleus. Full article
(This article belongs to the Special Issue The Replication Licensing System)
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<p><b>Multiple roles of the MCM2-7 complex</b>. Shown is a cartoon illustrating the contributions of the MCM2-7 complex to various nuclear pathways. During DNA replication, the MCM2-7 complex forms the core of the replicative helicase. In addition to its direct role in DNA replication, the MCM2-7 complex also participates in other transactions and pathways in the nucleus. The MCM2-7 complex interacts with regulators of the cohesin complex (<b>left</b>). The MCM2-7 complex promotes recruitment of the cohesin loader (NIPBL/MAU2 heterodimer) and interacts directly with the ESCO2 cohesin acetyltransferase. MCM function also intersects with transcription (<b>center</b>). The helicase is able to displace RNA Pol II from promoters and may help unwind the DNA in advance of active polymerase. The MCM2-7 complex interacts directly with the Integrator complex, through which it controls the termination of transcription at RNA Pol II promoters. The MCM2-7 complex is essential for the intra-S phase checkpoint (<b>right</b>) and coordinates histone deposition on newly replicated DNA. Through interaction with the Fork Protection Complex (FPC), it ensures both checkpoint activation and fork stabilization when barriers are encountered. In addition, the Ctf4/AND-1 subunit of the FPC serves as a histone chaperone to help recycle histones onto the replicated DNA. The FACT complex also participates. Not drawn to scale. See text for details.</p>
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<p><b>The MCM2-7 complex and transcription.</b> The MCM2-7 complex is involved in mechanisms that help mitigate transcription–replication conflicts. At left, active transcription by RNA polymerase II can displace the MCM2-7 complex, thereby redistributing DNA replication origins and preventing conflicts. The Integrator complex associates with the CMG helicase and helps mitigate co-directional conflicts between the helicase at the leading edge of a replication bubble and RNA polymerase II sitting at paused promotors. The result is termination of transcription, and release of RNA polymerase II from the DNA. This allows the CMG helicase to proceed, thereby preventing activation of ATM-mediated checkpoint signaling. See text for details.</p>
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<p><b>The MCM2-7 complex and the intra-S checkpoint.</b> Replication barriers cause fork stalling, which in turn results in the accumulation of single-stranded DNA adjacent to the CMG helicase. The binding of RPA to the single-stranded DNA results in recruitment of the ATR kinase through its associated ATRIP protein. Subsequent loading of the Rad9-Rad1-Hus1 heterotrimeric clamp results in the recruitment of TopBP1, which activates the ATR kinase. Importantly, the TIPIN and Claspin subunits of the Fork Protection Complex (FPC) are also critical to ATR activation. The Chk1 kinase, which can interact directly with the MCM2-7 complex, is activated by ATR and mediates numerous responses to the damage signal, including fork stabilization, inhibition of origin activation, and cell cycle arrest. See text for details.</p>
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13 pages, 677 KiB  
Article
Comparison of Polymerase Chain Reaction and Urine Culture in the Evaluation of Patients with Complex Urinary Tract Infections
by Deepak A. Kapoor, Mara R. Holton, Jason Hafron, Rima Aljundi, Bernadette Zwaans and Mitchell Hollander
Biology 2024, 13(4), 257; https://doi.org/10.3390/biology13040257 - 13 Apr 2024
Cited by 1 | Viewed by 1825
Abstract
To compare organism identification using polymerase chain reaction (PCR) and urine culture (UC) in patients with complex urinary tract infections (cUTIs), we reviewed the results of 3395 patients seen during 2022 with cUTI who underwent concomitant PCR and UC testing. We compared the [...] Read more.
To compare organism identification using polymerase chain reaction (PCR) and urine culture (UC) in patients with complex urinary tract infections (cUTIs), we reviewed the results of 3395 patients seen during 2022 with cUTI who underwent concomitant PCR and UC testing. We compared the overall positivity rates as well as the ability of each test to identify fastidious organisms (FOs) and the presence of polymicrobial infections (PMOs) and conducted concordance analysis between the tests. PCR detected 36.4% more organisms than UC and was 20 and nearly 36 times more likely to detect PMOs and FOs, respectively. PCR identified 90.6% of organisms found in UC, whereas UC identified 40.7% of organisms found in PCR testing. We found that 62.4% of organisms found in PCR were not found in urine culture, while UC found 9.4% of organisms not identified in polymerase chain reaction. All these differences were statistically significant (p < 0.05). Although we found that PCR was superior to UC in overall pathogen detection, and detection of both PMOs and FOs, both identified potentially pathogenic organisms not found in the corresponding test. Our data strongly suggest that the evaluation of patients with cUTI is best accomplished using PCR in conjunction with UC. Full article
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<p>Patient Age and Gender Distribution.</p>
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<p>Test Results, UC vs. PCR.</p>
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17 pages, 5810 KiB  
Article
Development and Application of a High-Throughput Method for the Purification and Analysis of Surface Carbohydrates from Klebsiella pneumoniae
by Francesca Nonne, Mariagrazia Molfetta, Rebecca Nappini, Chiara La Guidara, Roberta Di Benedetto, Siwaphiwe Mfana, Barbara Bellich, Maria Michelina Raso, Gianmarco Gasperini, Renzo Alfini, Paola Cescutti, Francesco Berlanda Scorza, Neil Ravenscroft, Francesca Micoli and Carlo Giannelli
Biology 2024, 13(4), 256; https://doi.org/10.3390/biology13040256 - 12 Apr 2024
Cited by 1 | Viewed by 1931
Abstract
Klebsiella pneumoniae (Kp) is a Gram-negative bacterium, and a leading cause of neonatal sepsis in low- and middle-income countries, often associated with anti-microbial resistance. Two types of polysaccharides are expressed on the Kp cell surface and have been proposed as key antigens for [...] Read more.
Klebsiella pneumoniae (Kp) is a Gram-negative bacterium, and a leading cause of neonatal sepsis in low- and middle-income countries, often associated with anti-microbial resistance. Two types of polysaccharides are expressed on the Kp cell surface and have been proposed as key antigens for vaccine design: capsular polysaccharides (known as K-antigens, K-Ags) and O-antigens (O-Ags). Historically, Kp has been classified using capsule serotyping and although 186 distinct genotypes have been predicted so far based on sequence analysis, many structures are still unknown. In contrast, only 11 distinct OAg serotypes have been described. The characterization of emerging strains requires the development of a high-throughput purification method to obtain sufficient K- and O-Ag material to characterize the large collection of serotypes and gain insight on structural features and potential cross-reactivity that could allow vaccine simplification. Here, this was achieved by adapting our established method for the simple purification of O-Ags, using mild acetic acid hydrolysis performed directly on bacterial cells, followed by filtration and precipitation steps. The method was successfully applied to purify the surface carbohydrates from different Kp strains, thereby demonstrating the robustness and general applicability of the purification method developed. Further, antigen characterization showed that the purification method had no impact on the structural integrity of the polysaccharides and preserved labile substituents such as O-acetyl and pyruvyl groups. This method can be further optimized for scaling up and manufacturing to support the development of high-valency saccharide-based vaccines against Kp. Full article
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<p>Schematic processes for K-Ag (<b>A</b>) and O-Ag (<b>B</b>) purification.</p>
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<p><sup>1</sup>H NMR 1D/1D DOSY overlay of K-Ag from strain 4998 recorded at 600 MHz and 343 K. DOSY removes the signals from low-molecular-weight compounds (HOD and residual solvent) to show signals from the O-acetylated tetrasaccharide RU. Small peaks are from the non-O-acetylated RU.</p>
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<p><sup>1</sup>H-<sup>13</sup>C NMR HSQC (red)/HMBC (black) overlay of the anomeric region of K-Ag from strain 4998 recorded at 600 MHz and 343 K. The intra- and inter-residue crosspeaks for the O-acetylated tetrasaccharide RU are labeled (A = α-Glc, B = α-GlcA, C = β-Man6Ac and D = β-Glc).</p>
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<p><sup>1</sup>H NMR 1D/1D DOSY overlay of O-Ag from strain 7008B recorded at 600 MHz and 323 K. DOSY removes the signals from low-molecular-weight compounds (HOD, buffer, and glycerol) to show sharp signals from the O-Ag pentasaccharide RU.</p>
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<p><sup>1</sup>H-<sup>13</sup>C NMR HSQC (red)/HMBC (black) overlay of the anomeric region O-Ag from strain 7008B recorded at 600 MHz and 323 K. The intra- and inter-residue crosspeaks for the KpO1v2 pentasaccharide RU are labeled (A = β-3Gal<span class="html-italic">f</span>, B = α-3Gal<span class="html-italic">p</span>, C = α-3,4Gal<span class="html-italic">p</span>, D= α-Gal<span class="html-italic">p</span> and E = β-3Gal<span class="html-italic">p</span>).</p>
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19 pages, 3481 KiB  
Article
Screening of Microalgae for Bioactivity with Antiviral, Antibacterial, Anti-Inflammatory and Anti-Cancer Assays
by Jorge Hernández-Urcera, Alejandro Romero, Pedro Cruz, Vitor Vasconcelos, Antonio Figueras, Beatriz Novoa and Francisco Rodríguez
Biology 2024, 13(4), 255; https://doi.org/10.3390/biology13040255 - 12 Apr 2024
Cited by 2 | Viewed by 2481
Abstract
Marine microalgae are a rich reservoir of natural compounds, including bioactives. Nonetheless, these organisms remain fairly unexplored despite their potential biotechnological applications. Culture collections with diverse taxonomic groups and lifestyles are a good source to unlock this potential and discover new molecules for [...] Read more.
Marine microalgae are a rich reservoir of natural compounds, including bioactives. Nonetheless, these organisms remain fairly unexplored despite their potential biotechnological applications. Culture collections with diverse taxonomic groups and lifestyles are a good source to unlock this potential and discover new molecules for multiple applications such as the treatment of human pathologies or the production of aquaculture species. In the present work extracts from thirty-three strains (including twenty dinoflagellates, four diatoms and nine strains from seven other algal classes), cultivated under identical conditions, were examined for their antiviral, antibacterial, anti-inflammatory and anti-cancer activities. Among these, antiviral and anti-inflammatory activities were detected in a few strains while the antibacterial tests showed positive results in most assays. In turn, most trials did not show any anti-cancer activity. Significant differences were observed between species within the same class, in particular dinoflagellates, which were better represented in this study. These preliminary findings pave the way for an in-depth characterization of the extracts with highest signals in each test, the identification of the compounds responsible for the biological activities found and a further screening of the CCVIEO culture collection. Full article
(This article belongs to the Section Marine Biology)
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<p>Antiviral activity of the extracts against SVCV. The different algal groups selected are indicated. The viral titer was determined at day 6 post-infection as the viral dilution that causes an infection of 50% of the cell line (TCID<sub>50</sub>). Results were expressed as the mean and SD of four titrations. A <span class="html-italic">T</span>-test was used to determine significant differences at <span class="html-italic">p</span>-value &lt; 0.05 (*) between control (SVCV infected cells) and cells treated with the extracts at day 6 post-infection. Using the calculated percentage of inhibition (PI), the antiviral activity was scored as strong (PI &gt; 90%), moderate (PI between 50 and 90%) and weak (PI &lt; 50%) according to Monteiro et al. [<a href="#B57-biology-13-00255" class="html-bibr">57</a>].</p>
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<p>The antibacterial activity of extracts (10 μg mL<sup>−1</sup>) against Gram (−) bacteria. The different algal groups selected are indicated. The bacterial growth was evaluated by measuring the OD600 nm for 24 h; (<b>A</b>) The kinetics obtained in samples treated with the extract 9 was selected as representative result. <span class="html-italic">T</span>-test was used to determine significant differences at <span class="html-italic">p</span>-value &lt; 0.05 (*). (<b>B</b>) Tables show the sampling points where the differences in OD600 nm were statistically significant at <span class="html-italic">p</span> &lt; 0.05 against <span class="html-italic">A. hydrophyla</span>. The percentage of bacterial growth reduction is specified in each sampling point.</p>
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<p>The antibacterial activity of extracts (10 μg mL<sup>−1</sup>) against Gram (+) bacteria. Table shows the sampling points where the differences in OD600 nm were statistically significant at <span class="html-italic">p</span> &lt; 0.05 against <span class="html-italic">M. luteus</span>. The percentage of bacterial growth reduction is specified in each sampling point. <span class="html-italic">T</span>-test was used to determine significant differences at <span class="html-italic">p</span>-value &lt; 0.05.</p>
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<p>In vivo evaluation of the anti-inflammatory activity of the extracts (at 25 μg mL<sup>−1</sup>) using zebrafish larvae. The different algal groups selected are indicated. (<b>A</b>) The transgenic zebrafish larvae Tg(lyz:DsRed2) was used. The lysozyme-expressing cells (neutrophils) are marked in red and can be analyzed in live animals. Scale bar = 500 µm; (<b>B</b>) Control animals were injured in the tail and the number of neutrophils was measured at 2 h, 24 h and 48 h. Scale bar = 100 µm; (<b>C</b>) Evolution in the number of neutrophils at the injury in control fish. The graph was created using information obtained from 50 animals. (<b>D</b>) Effect of the extracts on the number of neutrophils at the injured fin. Results represent the mean and SD. (*) asterisks represent significant differences (<span class="html-italic">p</span> &lt; 0.05) compared to controls.</p>
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<p>Anti-cancer activity of the extracts against HCT 116, HepG2 and MG-63. Results represent the mean and SD of three independent experiments. STP (staurosporine).</p>
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12 pages, 1366 KiB  
Article
Bacterial Community Structure Responds to Soil Management in the Rhizosphere of Vine Grape Vineyards
by Barnabás Kovács, Marco Andreolli, Silvia Lampis, Borbála Biró and Zsolt Kotroczó
Biology 2024, 13(4), 254; https://doi.org/10.3390/biology13040254 - 12 Apr 2024
Viewed by 1274
Abstract
The microbial communities of the rhizospheres of vineyards have been subject to a considerable body of research, but it is still unclear how the applied soil cultivation methods are able to change the structure, composition, and level of diversity of their communities. Rhizosphere [...] Read more.
The microbial communities of the rhizospheres of vineyards have been subject to a considerable body of research, but it is still unclear how the applied soil cultivation methods are able to change the structure, composition, and level of diversity of their communities. Rhizosphere samples were collected from three neighbouring vineyards with the same time of planting and planting material (rootstock: Teleki 5C; Vitis vinifera: Müller Thurgau). Our objective was to examine the diversity occurring in bacterial community structures in vineyards that differ only in the methods of tillage procedure applied, namely intensive (INT), extensive (EXT), and abandoned (AB). For that we took samples from two depths (10–30 cm (shallow = S) and 30–50 cm (deep = D) of the grape rhizosphere in each vineyard and the laboratory and immediately prepared the slices of the roots for DNA-based analysis of the bacterial communities. Bacterial community structure was assessed by means of PCR-DGGE analysis carried out on the v3 region of 16S rRNA gene. Based on the band composition of the DGGE profiles thus obtained, the diversity of the microbial communities was evaluated and determined by the Shannon–Weaver index (H′). Between the AB and EXT vineyards at the S depth, the similarity of the community structure was 55%; however, the similarity of the D samples was more than 80%, while the difference between the INT samples and the other two was also higher than 80%. Based on our results, we can conclude that intensive cultivation strongly affects the structure and diversity of the bacterial community. Full article
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<p>The location of the plantations on Saint George Hill, Hungary.</p>
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<p>PCR-DGGE analysis performed in duplicated (1 and 2) on rhizosphere soil samples collected from plants exposed to intensive (INT), extensive (EXT), and abandoned (AB) tillage methods at two different depths: shallow (S) and deep (D). Arrows indicate bands excised from the gel for sequencing.</p>
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<p>Dendrogram indicating the similarity indices of the different DGGE profiles based on samples collected from intensive (INT), extensive (EXT), and abandoned (AB) tillage methods at two different depths: shallow (S) and deep (D).</p>
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14 pages, 5747 KiB  
Article
Mesenchymal Stem Cell-Derived Exosomes Loaded with Selenium or Nano Selenium as a Novel Therapeutic Paradigm for Streptozotocin-Induced Type 1 Diabetes in Rats
by Dlovan Y. Khalil, Ridah H. Hussein and Wafaa M. El-Kholy
Biology 2024, 13(4), 253; https://doi.org/10.3390/biology13040253 - 11 Apr 2024
Viewed by 1723
Abstract
Type 1 diabetes mellitus (T1DM) is a metabolic disorder characterized by hyperglycemia due to insulin insufficiency as a consequence of the pancreatic β-cells’ auto-immune attack. Nowadays, the application of mesenchymal stem cell-derived exosomes (MSCs-Exs) as the main cell-free therapy for diabetes treatment is [...] Read more.
Type 1 diabetes mellitus (T1DM) is a metabolic disorder characterized by hyperglycemia due to insulin insufficiency as a consequence of the pancreatic β-cells’ auto-immune attack. Nowadays, the application of mesenchymal stem cell-derived exosomes (MSCs-Exs) as the main cell-free therapy for diabetes treatment is becoming more and more extensive. In non-autologous therapy, researchers are moving towards a new strategy based on loading MSC-Exs with certain drugs, aimed at maintaining and maximizing the function of exosomes at the function site and enhancing their efficiency and safety. This study aims to explore and compare the therapeutic potentialities of mesenchymal stem cell-derived exosomes (MSCs-Exs) loaded with either selenium (Se) or nano selenium (NSe), a natural antioxidant micronutrient, in the management of T1DM in rats. In our 4-week experiment, six rat groups were included, namely, control, Ex+Se, Ex+NSe, STZ-diabetic (D), D+ Ex+Se, and D+Ex+NSe groups. Both diabetic-treated groups showed marked pancreatic regenerative antioxidant, immunomodulatory, anti-inflammatory, and anti-apoptotic capacities, with the D+Ex+NSe injection showing superiority in managing diabetes hazards, as evidenced by various biochemical and histological assessments. Full article
(This article belongs to the Special Issue Animal Models of Pancreatic Diseases)
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<p>(<b>a</b>) Exs morphology. (<b>b</b>) MSCs-Exs surface marker flow cytometric analysis.</p>
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<p>NSe morphology.</p>
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<p>Values expressed as mean ± SEM (<span class="html-italic">n</span> = 8). (<b>A</b>) Serum glucose levels. (<b>B</b>) Serum HbA1c levels. (<b>C</b>) Serum insulin levels. (<b>D</b>) Serum C-peptide levels. Letters a, b, and c indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) compared to control, untreated diabetic, and Ex+Se-treated diabetic groups, respectively.</p>
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<p>Pancreatic MDA, NO, and H<sub>2</sub>O<sub>2</sub> contents. Values expressed as mean ± SEM (<span class="html-italic">n</span> = 8). Letters a, b, and c indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) compared to control, untreated diabetic, and Ex+Se-treated diabetic groups, respectively.</p>
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<p>Pancreatic GSH, SOD, CAT, and GPx contents. Values expressed as mean ± SEM (<span class="html-italic">n</span> = 8). Letters a, b, and c indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) compared to control, untreated diabetic, and Exs+Se-treated diabetic groups, respectively.</p>
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<p>Pancreatic TNF-α, TGF-β, and IL-6 contents. Values expressed as mean ± SEM (<span class="html-italic">n</span> = 8). Letters a, b, and c indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) compared to control, untreated diabetic, and Ex+Se-treated diabetic groups, respectively.</p>
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<p>Pancreatic P53, BAX, Caspase-3, and Bcl-2%. Values expressed as mean ± SEM (<span class="html-italic">n</span> = 8). Letters a, b, and c indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) compared to control, untreated diabetic, and <span class="html-italic">Ex+Se</span>-treated diabetic groups, respectively.</p>
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<p>Pancreatic Annexin V (late apoptosis) %. Values expressed as mean ± SEM (<span class="html-italic">n</span> = 8). Letters a, b, and c indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) compared to control, untreated diabetic, and EX+Se-treated diabetic groups, respectively.</p>
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<p>Pancreatic Annexin V % indications. <b>LL</b> = −ve for both stains = viable cells %. <b>LR</b> = +ve for annexin V = early apoptosis %. <b>UR</b> = +ve for both stains = late apoptosis %. <b>UL</b> = +ve for propidium iodide (PI) = necrosis %.</p>
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<p>Pancreatic Annexin V % indications. <b>LL</b> = −ve for both stains = viable cells %. <b>LR</b> = +ve for annexin V = early apoptosis %. <b>UR</b> = +ve for both stains = late apoptosis %. <b>UL</b> = +ve for propidium iodide (PI) = necrosis %.</p>
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<p>Pancreatic G1/G0%. Values expressed as mean ± SEM (<span class="html-italic">n</span> = 8). Letters a, b, and c indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) compared to control, untreated diabetic, and Ex+Se-treated diabetic groups, respectively.</p>
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<p>Pancreatic cell cycle (viable cells = G0/G1%).</p>
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<p>Photomicrograph of HE-stained pancreatic sections in different rat groups. (Low magnification → 100 X: bar 100 and high magnification → 400 X: bar 50). (<b>a</b>–<b>d</b>) <span class="html-italic">Control<b>,</b> Ex<b>,</b> Ex+Se</span> and <span class="html-italic">Ex+NSe</span> normal groups, respectively. These groups showed no histopathological alteration in the normal structure of either the exocrine portion, represented by acinar cells (<b><span class="html-italic">AC</span></b>), or the endocrine portion, represented by islands of Langerhans (<b><span class="html-italic">IL</span></b>), containing α-cells (black arrows) and β-cells (red arrows). (<b>e</b>) <span class="html-italic">D</span> (<span class="html-italic">STZ-treated</span>) group displayed evident <b><span class="html-italic">IL</span></b> degeneration, as seen in the severe hydropic degeneration of most <span class="html-italic">α-cells and β-cells</span>, with few <span class="html-italic">apoptotic β-cells</span> (blue arrow), and <span class="html-italic">pyknotic nuclei of epithelial lining acini</span> (arrowheads). (<b>f</b>–<b>h</b>) <span class="html-italic">Ex-, Ex+Se-</span>, and <span class="html-italic">Exs+NSe</span>-treated diabetic groups, respectively, demonstrated much less hydropic degeneration. However, pancreatic sections from the <span class="html-italic">D+Ex+NSe</span> group exhibited the most markedly improved histological picture of both <span class="html-italic">AC</span> and <span class="html-italic">IL (α</span> and <span class="html-italic">β-cells).</span></p>
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