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17 pages, 857 KiB  
Article
Phase Separation of SARS-CoV-2 Nucleocapsid Protein with TDP-43 Is Dependent on C-Terminus Domains
by Michael J. Strong, Crystal McLellan, Brianna Kaplanis, Cristian A. Droppelmann and Murray Junop
Int. J. Mol. Sci. 2024, 25(16), 8779; https://doi.org/10.3390/ijms25168779 (registering DOI) - 12 Aug 2024
Abstract
The SARS-CoV-2 nucleocapsid protein (N protein) is critical in viral replication by undergoing liquid–liquid phase separation to seed the formation of a ribonucleoprotein (RNP) complex to drive viral genomic RNA (gRNA) translation and in suppressing both stress granules and processing bodies, which is [...] Read more.
The SARS-CoV-2 nucleocapsid protein (N protein) is critical in viral replication by undergoing liquid–liquid phase separation to seed the formation of a ribonucleoprotein (RNP) complex to drive viral genomic RNA (gRNA) translation and in suppressing both stress granules and processing bodies, which is postulated to increase uncoated gRNA availability. The N protein can also form biomolecular condensates with a broad range of host endogenous proteins including RNA binding proteins (RBPs). Amongst these RBPs are proteins that are associated with pathological, neuronal, and glial cytoplasmic inclusions across several adult-onset neurodegenerative disorders, including TAR DNA binding protein 43 kDa (TDP-43) which forms pathological inclusions in over 95% of amyotrophic lateral sclerosis cases. In this study, we demonstrate that the N protein can form biomolecular condensates with TDP-43 and that this is dependent on the N protein C-terminus domain (N-CTD) and the intrinsically disordered C-terminus domain of TDP-43. This process is markedly accelerated in the presence of RNA. In silico modeling suggests that the biomolecular condensate that forms in the presence of RNA is composed of an N protein quadriplex in which the intrinsically disordered TDP-43 C terminus domain is incorporated. Full article
25 pages, 1352 KiB  
Review
The Function of H2A Histone Variants and Their Roles in Diseases
by Xuemin Yin, Dong Zeng, Yingjun Liao, Chengyuan Tang and Ying Li
Biomolecules 2024, 14(8), 993; https://doi.org/10.3390/biom14080993 (registering DOI) - 12 Aug 2024
Abstract
Epigenetic regulation, which is characterized by reversible and heritable genetic alterations without changing DNA sequences, has recently been increasingly studied in diseases. Histone variant regulation is an essential component of epigenetic regulation. The substitution of canonical histones by histone variants profoundly alters the [...] Read more.
Epigenetic regulation, which is characterized by reversible and heritable genetic alterations without changing DNA sequences, has recently been increasingly studied in diseases. Histone variant regulation is an essential component of epigenetic regulation. The substitution of canonical histones by histone variants profoundly alters the local chromatin structure and modulates DNA accessibility to regulatory factors, thereby exerting a pivotal influence on gene regulation and DNA damage repair. Histone H2A variants, mainly including H2A.Z, H2A.B, macroH2A, and H2A.X, are the most abundant identified variants among all histone variants with the greatest sequence diversity. Harboring varied chromatin occupancy and structures, histone H2A variants perform distinct functions in gene transcription and DNA damage repair. They are implicated in multiple pathophysiological mechanisms and the emergence of different illnesses. Cancer, embryonic development abnormalities, neurological diseases, metabolic diseases, and heart diseases have all been linked to histone H2A variant alterations. This review focuses on the functions of H2A histone variants in mammals, including H2A.Z, H2A.B, macroH2A, and H2A.X, and their current roles in various diseases. Full article
(This article belongs to the Section Molecular Genetics)
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<p>The role of H2A histone variants in gene expression. (<b>a</b>) With the help of SWI/P400/TIP60, histone variant H2A.Z is incorporated into chromatin increasing the bind of transcription factors with opening chromatin, thus repressing or promoting gene transcription. Histone chaperones Anp32e and INO80 participate in the removal of H2A.Z in chromatin. TF refers to transcription factors. (<b>b</b>) The main function of macroH2A is to repress gene expression, which is associated with chromatin condensation. Histone chaperone Anp32B and FACT participate in the incorporation and removal of macroH2A in chromatin. (<b>c</b>) With the assistance of histone chaperone NAP1, histone variant H2A.B is incorporated into chromatin, loosening the compact chromatin structure and increasing the bind of transcription factors with DNA. However, whether the histone chaperones mediate the removal of H2A.B from chromatin is still unclear. (<b>d</b>) H2A.B facilitates gene expression by regulating RNA splicing.</p>
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<p>The role of histone H2A variants in DNA damage repair. (<b>a</b>) H2A.Z promotes DNA damage repair by eviting nucleosomes in chromatin with the help of the histone chaperones Anp32e and INO80. (<b>b</b>) γ-H2A.X accelerates DNA damage repair by recruiting DNA damage repair factors. RT refers to repair factors. (<b>c</b>) MacroH2A1 impedes the activity of PARP1 and prevents depletion of NAD+, thereby promoting DNA damage repair.</p>
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<p>The role of histone H2A variants in embryonic development abnormalities. (<b>a</b>) The process of embryonic development. Embryonic development involves sequential stages: fertilization to form a zygote, development into a blastocyte, and differentiation into specialized cells (<b>b</b>) The role of H2A.Z, H2A.X, and macroH2A in embryonic development. H2A.Z promotes self-renewal as well as differentiation of ESCs. H2A.X promotes self-renewal of ESCs. MacroH2A promotes the differentiation of ESCs and inhibits the reprogramming of differentiated cells.</p>
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12 pages, 2497 KiB  
Systematic Review
The Frequency of Risk Factors for Cleft Lip and Palate in Mexico: A Systematic Review
by Sandra López-Verdín, Judith A. Solorzano-López, Ronell Bologna-Molina, Nelly Molina-Frechero, Omar Tremillo-Maldonado, Victor H. Toral-Rizo and Rogelio González-González
Diagnostics 2024, 14(16), 1753; https://doi.org/10.3390/diagnostics14161753 - 12 Aug 2024
Abstract
Background: Cleft lip and palate is an anomaly that affects both women and men. It is considered to be among the most frequent congenital abnormalities and is related to modifications in chromosomal DNA and multiple genetic alterations. This anomaly can also be associated [...] Read more.
Background: Cleft lip and palate is an anomaly that affects both women and men. It is considered to be among the most frequent congenital abnormalities and is related to modifications in chromosomal DNA and multiple genetic alterations. This anomaly can also be associated with various environmental factors, such as tobacco and alcohol consumption, medication use, and exposure to different environmental and industrial toxic substances. The objective of this study was to document the frequency of risk factors related to cleft lip and palate through a systematic review of Mexican studies. Methods: In this systematic review, a bibliographic search was conducted following PRISMA guidelines in the databases Scielo, ScienceDirect, PubMed, and EBSCO. Keywords related to cleft lip and palate, epidemiology, and risk factors were used. In all, 3 independent reviewers (J.A.S.L., S.L.V., and N.M.F.) selected and evaluated a total of 17 articles included in this analysis, achieving a coefficient of κ = 0.84. Results: The analysis revealed that the highest frequency of conducted studies was in the State of Mexico. The most common risk factors identified were environmental, pharmacological, consumption habits, and gynecological factors. Conclusions: Identifying the main risk factors for cleft lip and palate in the Mexican population will enable the implementation of preventive measures aimed at reducing exposure to these factors. Additionally, early intervention can improve the quality of life for individuals affected by this condition. Full article
(This article belongs to the Special Issue Advances in the Diagnosis of Oral and Maxillofacial Disease)
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<p>Four-phase PRISMA chart for searching and selecting items. PRISMA flow chart for the systematic review. Of the 1141 articles found in the 4 databases included in the search, 20 (1.75%) studies were selected for analysis. Following this, the articles underwent a title and abstract review, with the exception of any articles displayed.</p>
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<p>MINORS heat map. Items (I): I1—a clearly stated aim; I2—inclusion of consecutive patients; I3—prospective collection of data; I4—endpoints appropriate to the aim of the study; I5—unbiased assessment of the study endpoint; I6—follow-up period appropriate to the aim of the study; I7—loss to follow-up less than 5%; I8—prospective calculation; I9—an adequate control group; I10—contemporary groups; I11—baseline equivalence of groups; I12—adequate statistical analyses [<a href="#B9-diagnostics-14-01753" class="html-bibr">9</a>,<a href="#B13-diagnostics-14-01753" class="html-bibr">13</a>,<a href="#B15-diagnostics-14-01753" class="html-bibr">15</a>,<a href="#B16-diagnostics-14-01753" class="html-bibr">16</a>,<a href="#B17-diagnostics-14-01753" class="html-bibr">17</a>,<a href="#B18-diagnostics-14-01753" class="html-bibr">18</a>,<a href="#B19-diagnostics-14-01753" class="html-bibr">19</a>,<a href="#B20-diagnostics-14-01753" class="html-bibr">20</a>,<a href="#B21-diagnostics-14-01753" class="html-bibr">21</a>,<a href="#B22-diagnostics-14-01753" class="html-bibr">22</a>,<a href="#B23-diagnostics-14-01753" class="html-bibr">23</a>,<a href="#B24-diagnostics-14-01753" class="html-bibr">24</a>,<a href="#B25-diagnostics-14-01753" class="html-bibr">25</a>,<a href="#B26-diagnostics-14-01753" class="html-bibr">26</a>,<a href="#B27-diagnostics-14-01753" class="html-bibr">27</a>,<a href="#B28-diagnostics-14-01753" class="html-bibr">28</a>,<a href="#B29-diagnostics-14-01753" class="html-bibr">29</a>,<a href="#B30-diagnostics-14-01753" class="html-bibr">30</a>,<a href="#B31-diagnostics-14-01753" class="html-bibr">31</a>,<a href="#B32-diagnostics-14-01753" class="html-bibr">32</a>].</p>
Full article ">Figure 3
<p>Map of the most common risk factor categories by region. (a) Lower California, Baja California, Sonora, Durango, Sinaloa; (b) Coahuila, Nuevo León, Tamaulipas; (c) Nayarit, Jalisco, Colima, Michoacán; (d) Hidalgo, Tlaxcala, Puebla, Veracruz; (e) Zacatecas, Aguascalientes, San Luis Potosí, Guanajuato, Querétaro; (f) State of Mexico, Mexico City, Morelos; (g) Guerrero, Oaxaca, Chiapas; (h) Tabasco, Campeche, Yucatán, Quintana Roo.</p>
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<p>Socio-economic risk factors related to cleft lip and palate: (<b>a</b>) risk factors associated with parents’ age; (<b>b</b>) risk factors related to education level.</p>
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<p>Gynecological and perinatal factors in Mexico: the category graphs depict the most common cases of (<b>a</b>) gynecological complications and (<b>b</b>) birth order.</p>
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<p>Frequencies of risky habits and medicine intake: fathers consumed alcohol and tobacco more frequently than mothers, and only a small percentage of both mothers and fathers used these substances simultaneously.</p>
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<p>Frequency of cases related to industrial pollutant concentrations.</p>
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12 pages, 1172 KiB  
Article
Association Analysis of METTL23 Gene Polymorphisms with Reproductive Traits in Kele Pigs
by Jie Sun, Chunyuan Wang, Yan Wu, Jin Xiang and Yiyu Zhang
Genes 2024, 15(8), 1061; https://doi.org/10.3390/genes15081061 - 12 Aug 2024
Abstract
Methyltransferase-like 23 (METTL23) is a kind of RNA methyltransferase that catalyzes the methylation transfer to the N6-adenosine of RNA, serving as one of the key mediators in this process. However, the METTL23 gene has been poorly researched in pigs. In [...] Read more.
Methyltransferase-like 23 (METTL23) is a kind of RNA methyltransferase that catalyzes the methylation transfer to the N6-adenosine of RNA, serving as one of the key mediators in this process. However, the METTL23 gene has been poorly researched in pigs. In this study, we investigated the genetic effects of METTL23 single-nucleotide polymorphism(SNPs) on reproductive traits in Kele pigs. The DNA was extracted from 228 healthy multiparous Kele sows, and Sanger sequencing revealed three SNPs, g.4804958 G > T (intron 2), g.4805082 C > T (exon 2), and g.4806821 A > G (exon 3). The polymorphism information content (PIC) for each SNP was 0.264, 0.25, and 0.354, indicating moderate polymorphism (0.25 < PIC < 0.5) and providing genetic information. Linkage disequilibrium analysis showed no strong linkage disequilibrium between the three SNPs. The association analysis revealed that in the SNP g.4804958 G > T individuals with the GG genotype had a significantly higher number of piglets born alive, litter birth weight, number of weaned piglets, and weaning litter weight compared to those with the TT genotype (p < 0.05). Individuals with the GG genotype in the SNP g.4806821 A > G group had significantly higher litter birth weight and average birth weight than those with the AA genotype (p < 0.05). The H4H4 diplotype showed significant effects on the number of piglets born alive, litter birth weight, number of weaned piglets, weaning litter weight, and weaning weight (p < 0.05). Together, the METTL23 gene could be used as a candidate gene for the selection of reproductive traits in Kele pigs. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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<p>Agarose electrophoresis of PCR products of pig <span class="html-italic">METTL</span>23 gene, M, DL 2000 DNA marker; 1–3, P1 amplification product; 4–6, P2 amplification product; 7–9, P3 amplification product; 10–12, P4 amplification product.</p>
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<p>Sequencing alignment results of three SNPs in the <span class="html-italic">METTL</span>23 gene.</p>
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<p>Comparison of secondary structure of mRNA of three haplotypes of <span class="html-italic">METTL</span>23 genes.</p>
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15 pages, 3796 KiB  
Article
Coprological Survey of Helminths in Reindeer (Rangifer tarandus) in 50 Selected Zoos and Menageries in Russia
by Olga A. Loginova, Svetlana V. Akulova, Dmitry N. Egorov, Natalia S. Egorova, Sergei E. Spiridonov, Iuliia K. Plotnikova, Larisa M. Belova, Yuriy E. Kuznetsov, Daria I. Chuprak, Anna A. Krutikova, Iuliia V. Vasilkova, Diana A. Gelashvili, Yuri A. Shchepanovsky, Ivan A. Mizin, Danila V. Panchenko, Mikhail G. Bondar and Taras P. Sipko
J. Zool. Bot. Gard. 2024, 5(3), 492-506; https://doi.org/10.3390/jzbg5030033 (registering DOI) - 12 Aug 2024
Abstract
Zoo conditions are unique for reindeer, since domestic reindeer are not kept in captive facilities like cattle. In the zoo, reindeer are usually surrounded by many different animals that they would never encounter naturally. Thus, they might be infected with new helminths. Numerous [...] Read more.
Zoo conditions are unique for reindeer, since domestic reindeer are not kept in captive facilities like cattle. In the zoo, reindeer are usually surrounded by many different animals that they would never encounter naturally. Thus, they might be infected with new helminths. Numerous petting zoos raise concerns about the safety of tactile interactions for human visitors. Our study is the first large-scale one. Qualitative and quantitative fecal analyses were carried out for 233 reindeer distributed over 50 Russian zoos according to the National Standard of the Russian Federation (GOST R 54627-2011) Ruminant animals—Methods of Laboratory Helminthological Diagnostics. Where possible, DNA analyses of helminths were performed targeting internal transcribed spacer region. As a result, F. hepatica, Paramphistomum sp., Moniezia sp. (including M. expansa), gastrointestinal strongylids (including Nematodirus spp.), Dictyocaulus sp., E. rangiferi, Trichuris sp., and Capillaria sp. were found in 106 (45%) zoo reindeer. All these helminths were previously reported in reindeer and pose no direct danger for humans. The intensity of invasions was mostly low. Fecal examination might be considered as an indirect method for mange diagnostics, as Chorioptes and Demodex mites were found in reindeer fecal samples. The latter may represent a novel species of mite specific for reindeer. Full article
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Graphical abstract

Graphical abstract
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<p>Diagnostic stages of helminths obtained from feces of zoo reindeer. (<b>A</b>) <span class="html-italic">Fasciola hepatica</span> egg; (<b>B</b>) <span class="html-italic">Moniezia expansa</span> egg; (<b>C</b>) <span class="html-italic">Nematodirus</span> sp. egg at late stage of embryonic development; (<b>D</b>) rounded strongyle-type egg; (<b>E</b>) <span class="html-italic">Trichuris</span> sp. egg; (<b>F</b>) <span class="html-italic">Paramphistomum</span> sp. egg; (<b>G</b>) <span class="html-italic">Moniezia</span> sp. egg; (<b>H</b>) <span class="html-italic">Nematodirus</span> sp. egg at early stage of embryonic development; (<b>I</b>) elongated strongyle-type egg; (<b>J</b>) <span class="html-italic">Capillaria</span> sp. egg; (<b>K</b>) <span class="html-italic">Dictyocaulus</span> sp. L1; (<b>L</b>) <span class="html-italic">Elaphostrongylus rangiferi</span> L1. Bright field microscopy, 400× magnification. Scale bar equals 50 μm.</p>
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<p>Prevalence rates (%) of helminths found in feces of zoo reindeer.</p>
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<p>Map of Russia indicating the zoos. Insert on the right represents magnified area marked with a rectangle. Numbers correspond to the zoo ID numbers in <a href="#jzbg-05-00033-t0A1" class="html-table">Table A1</a>.</p>
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<p>Mites of reindeer. (<b>A</b>) <span class="html-italic">Demodex</span> sp. obtained from the feces of a reindeer from zoo #12; (<b>B</b>) egg of mite at early developmental stage obtained from the feces of a reindeer from zoo #30; (<b>C</b>) egg of mite at late developmental stage obtained from the feces of a reindeer from zoo #48; (<b>D</b>) <span class="html-italic">Chorioptes</span> sp. obtained from the feces of a reindeer from zoo #40; (<b>E</b>) manifestation of mange caused by mites in a reindeer from zoo #30 (furless patches in the front leg and chest are shown); photo courtesy: Kristina Zabarina. Light micrographs were made via bright field microscopy, 400× magnification. Scale bar equals 50 μm.</p>
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9 pages, 2324 KiB  
Article
Larval Taxonomy of the Caddisfly Cernotina truncona Ross, 1947 (Trichoptera: Polycentropodidae)
by Alexander B. Orfinger and Truc T. Bui
Taxonomy 2024, 4(3), 609-617; https://doi.org/10.3390/taxonomy4030030 (registering DOI) - 12 Aug 2024
Abstract
The genus Cernotina Ross, 1938 is represented in the southeastern United States by three nominal species: Cernotina calcea Ross, 1938, Cernotina spicata Ross, 1938, and Cernotina truncona Ross, 1947. Of all Cernotina species, only the larva of C. spicata has been described to [...] Read more.
The genus Cernotina Ross, 1938 is represented in the southeastern United States by three nominal species: Cernotina calcea Ross, 1938, Cernotina spicata Ross, 1938, and Cernotina truncona Ross, 1947. Of all Cernotina species, only the larva of C. spicata has been described to date. The goal of this paper is to describe, illustrate, and diagnose the larva of C. truncona using ecologically associated specimens. In addition, we used publicly available mitochondrial DNA barcoding data to evaluate the genetic relationships of these species. The larvae of Cernotina truncona can be distinguished from those of C. spicata by differences in setal placement and number on the meso- and metanota, mandibular morphology, head width, and distal setation of the tarsi. The ultrastructure of the anal claw is figured, highlighting the novel finding of small spines on the concave margin of a larva of Cernotina. With this new description, just the second described larva from this genus, only C. calcea remains unknown in the southeastern United States. The information provided herein enables the in-depth study of the ecology and life history of this diminutive caddisfly. Full article
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<p>Left lateral habitus of a final-instar larva of <span class="html-italic">Cernotina truncona</span> Ross, 1947. Scale bar indicates 1 mm.</p>
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<p>Larval morphology of final instar of <span class="html-italic">Cernotina truncona</span> Ross, 1947. (<b>A</b>): Head, dorsal; (<b>B</b>): pro-, meso-, and metanotum, dorsal; (<b>C</b>): mandibles, dorsal (<b>above</b>) and ventral (<b>below</b>); (<b>D</b>): foreleg, right lateral; (<b>E</b>): anal proleg, right lateral. Abbreviations: r, right mandible; l, left mandible; sa2, sa2 setae; sa3, sa3 setae.</p>
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<p>Scanning electron microscopy of anal claw (350X magnification; (<b>left</b>)) highlighting minute spines on concave margin (2500X magnification; (<b>right</b>)).</p>
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<p>Known U.S. state-level distribution of <span class="html-italic">Cernotina truncona</span> Ross, 1947.</p>
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19 pages, 3622 KiB  
Article
Predictive Functional Profiling Reveals Putative Metabolic Capacities of Bacterial Communities in Drinking Water Resources and Distribution Supply in Mega Manila, Philippines
by Arizaldo E. Castro and Marie Christine M. Obusan
Water 2024, 16(16), 2267; https://doi.org/10.3390/w16162267 - 12 Aug 2024
Abstract
Assessing bacterial communities across water resources is crucial for understanding ecological dynamics and improving water quality management. This study examines the functional profiles of bacterial communities in drinking water resources in Mega Manila, Philippines, including Laguna Lake tributaries, pre-treatment plant sites, groundwater sources, [...] Read more.
Assessing bacterial communities across water resources is crucial for understanding ecological dynamics and improving water quality management. This study examines the functional profiles of bacterial communities in drinking water resources in Mega Manila, Philippines, including Laguna Lake tributaries, pre-treatment plant sites, groundwater sources, and post-treatment plant sites. Using eDNA sequencing, flux balance analysis, and taxonomy-to-phenotype mapping, we identified metabolic pathways involved in nutrient metabolism, pollutant degradation, antibio- tic synthesis, and nutrient cycling. Despite site variations, there are shared metabolic pathways, suggesting the influence of common ecological factors. Site-specific differences in pathways like ascorbate, aldarate, and phenylalanine metabolism indicate localized environmental adaptations. Antibiotic synthesis pathways, such as streptomycin and polyketide sugar unit biosynthesis, were detected across sites. Bacterial communities in raw and pre-treatment water showed potential for pollutant degradation such as for endocrine-disrupting chemicals. High levels of ammonia-oxidizing and sulfate-reducing bacteria in pre- and post-treatment water suggest active nitrogen removal and pH neutralization, indicating a need to reassess existing water treatment approaches. This study underscores the adaptability of bacterial communities to environmental factors, as well as the importance of considering their functional profiles in assessing drinking water quality resources in urban areas. Full article
(This article belongs to the Section Biodiversity and Functionality of Aquatic Ecosystems)
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<p>Seventeen (17) water sampling sites across Mega Manila, Philippines used in the current study: Laguna Lake Tributary sites (<span class="html-italic">n</span> = 5), deep well sites (<span class="html-italic">n</span> = 2), before treatment plant sites (<span class="html-italic">n</span> = 7), and after treatment plant sites (<span class="html-italic">n</span> = 3). Sampling site map was generated using ArcGIS Pro 3.3.</p>
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<p>Bacterial community taxonomic profiles across all sampling sites.</p>
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<p>Predicted functional profiles of Laguna Lake tributaries and before treatment plant sites with shotgun sequence data.</p>
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<p>(<b>a</b>) Benzoate degradation (BioCyc ID: PWY−283); (<b>b</b>) Dioxin degradation (BioCyc ID: P661−PWY); (<b>c</b>) Styrene degradation (BioCyc ID: PWY−6941); (<b>d</b>) Ammonia oxidation (BioCyc ID: PWY−7082); (<b>e</b>) Sulfate reduction (BioCyc ID: DISSULFRED−PWY). Degradation pathways are adapted from the MetaCyc metabolic pathway database [<a href="https://metacyc.org/" target="_blank">https://metacyc.org/</a>] (accessed on 1 July 2024).</p>
Full article ">Figure 4 Cont.
<p>(<b>a</b>) Benzoate degradation (BioCyc ID: PWY−283); (<b>b</b>) Dioxin degradation (BioCyc ID: P661−PWY); (<b>c</b>) Styrene degradation (BioCyc ID: PWY−6941); (<b>d</b>) Ammonia oxidation (BioCyc ID: PWY−7082); (<b>e</b>) Sulfate reduction (BioCyc ID: DISSULFRED−PWY). Degradation pathways are adapted from the MetaCyc metabolic pathway database [<a href="https://metacyc.org/" target="_blank">https://metacyc.org/</a>] (accessed on 1 July 2024).</p>
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<p>Predicted functional profiles of Pasig River, before treatment plant sites, deep wells, and after treatment plant sites.</p>
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19 pages, 5690 KiB  
Article
Oxidative Stress, Oxidative Damage, and Cell Apoptosis: Toxicity Induced by Arecoline in Caenorhabditis elegans and Screening of Mitigating Agents
by Kaiping Xiang, Bing Wang, Lanying Wang, Yunfei Zhang, Hanzeng Li and Yanping Luo
Toxins 2024, 16(8), 352; https://doi.org/10.3390/toxins16080352 - 12 Aug 2024
Abstract
As the areca nut market is expanding, there is a growing concern regarding areca nut toxicity. Areca nut alkaloids are the major risky components in betel nuts, and their toxic effects are not fully understood. Here, we investigated the parental and transgenerational toxicity [...] Read more.
As the areca nut market is expanding, there is a growing concern regarding areca nut toxicity. Areca nut alkaloids are the major risky components in betel nuts, and their toxic effects are not fully understood. Here, we investigated the parental and transgenerational toxicity of varied doses of areca nut alkaloids in Caenorhabditis elegans. The results showed that the minimal effective concentration of arecoline is 0.2–0.4 mM. First, arecoline exhibited transgenerational toxicity on the worms’ longevity, oviposition, and reproduction. Second, the redox homeostasis of C. elegans was markedly altered under exposure to 0.2–0.4 mM arecoline. The mitochondrial membrane potential was thereafter impaired, which was also associated with the induction of apoptosis. Moreover, antioxidant treatments such as lycopene could significantly ameliorate the toxic effects caused by arecoline. In conclusion, arecoline enhances the ROS levels, inducing neurotoxicity, developmental toxicity, and reproductive toxicity in C. elegans through dysregulated oxidative stress, cell apoptosis, and DNA damage-related gene expression. Therefore, the drug-induced production of reactive oxygen species (ROS) may be crucial for its toxic effects, which could be mitigated by antioxidants. Full article
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<p>Effect of arecoline on the toxicity to <span class="html-italic">C. elegans.</span> (<b>A</b>) F0 generation lifespan; (<b>B</b>) F1 generation lifespan; (<b>C</b>) average longevity; (<b>D</b>) body length; (<b>E</b>) body width; (<b>F</b>) average egg production; (<b>G</b>) head thrashes; (<b>H</b>) body bends; (<b>I</b>) muscarinic acetylcholine receptor content. Data are presented as mean ± SEM. Values followed by the different lowercase letters within a row represent the significant difference (Tukey tests, <span class="html-italic">p</span> &lt; 0.05). One-way ANOVA with Tukey post hoc test.</p>
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<p>Effects of arecoline on ROS, lipofuscin accumulation, and gonad cell corpses in <span class="html-italic">C. elegans</span>. (<b>A</b>) Fluorescence pictures of ROS and lipofuscin accumulation and the gonad cell corpses assay. (<b>B</b>) Quantification of ROS accumulation. (<b>C</b>) Quantification of lipofuscin accumulation. (<b>D</b>) Quantification of gonad cell corpses. (<b>E</b>,<b>F</b>) Cell corpses were counted in N2. (<b>G</b>,<b>H</b>) Cell corpses were counted in the <span class="html-italic">ced-1(e1735)</span> strains. Values followed by the different lowercase letters within a row represent the significant difference (Tukey tests, <span class="html-italic">p &lt;</span> 0.05). One-way ANOVA with Tukey post hoc test.</p>
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<p>Effect of arecoline on the antioxidant enzyme system and non-enzymatic antioxidant system of <span class="html-italic">C. elegans</span>. (<b>A</b>) Oxidizing enzyme; (<b>B</b>) GSSG and GSH content; (<b>C</b>) MDA content, 8-OHdG content and protein carbonyl content; (<b>D</b>) UV stress; (<b>E</b>) mean survival time of UV stress. Values followed by the different lowercase letters within a row represent the significant difference (Tukey tests, <span class="html-italic">p &lt;</span> 0.05). *** Statistical significance at <span class="html-italic">p</span> &lt; 0.001. One-way ANOVA with Tukey post hoc test.</p>
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<p>Effect of arecoline on mitochondria in <span class="html-italic">C. elegans.</span> (<b>A</b>) Electron transport chain complex I; (<b>B</b>) electron transport chain complex III. (<b>C</b>) MMP. (<b>D</b>) Quantitative analysis of green/red fluorescence intensity ratio. Values followed by the different lowercase letters within a row represent the significant difference (Tukey tests, <span class="html-italic">p &lt;</span> 0.05). One-way ANOVA with Tukey post hoc test.</p>
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<p>Effect of arecoline on gene expression in <span class="html-italic">C. elegans</span>. (<b>A</b>) <span class="html-italic">daf-16</span> gene, <span class="html-italic">skn-1</span> gene and their downstream genes. (<b>B</b>) DNA damage genes. (<b>C</b>) Apoptosis genes.</p>
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<p>Effect of arecoline + antioxidants on ROS levels in <span class="html-italic">C. elegans</span>. (<b>A</b>) Fluorescence pictures of ROS. (<b>B</b>) Quantification of ROS accumulation. CK: 0 mM; NC: 0.04 mM antioxidants: curcumin; phillyrin; vitamin C; melatonin; lycopene; PC: 0.4 mM arecoline. Values followed by the different lowercase letters within a row represent the significant difference (Tukey tests, <span class="html-italic">p &lt;</span> 0.05). One-way ANOVA with Tukey post hoc test.</p>
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<p>Effect of arecoline + lycopene on the toxicity in <span class="html-italic">C. elegans</span>. (<b>A</b>) Lifespan. (<b>B</b>) Mean lifespan. (<b>C</b>) Body length. (<b>D</b>) Body width. (<b>E</b>) Head thrashes. (<b>F</b>) Body bends. (<b>G</b>) Average number of progent. CK: 0 mM; NC: 0.04 mM lycopene; PC: 0.4 mM arecoline. Values followed by the different lowercase letters within a row represent the significant difference (Tukey tests, <span class="html-italic">p &lt;</span> 0.05). One-way ANOVA with Tukey post hoc test.</p>
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<p>Effect of arecoline + lycopene on apoptosis. (<b>A</b>) Gonad apoptosis, the arrows indicate the number of apoptotic cells. (<b>B</b>) The gonad apoptosis in the worms was quantified using ImageJ 1.51 software. (<b>C</b>,<b>D</b>) Cell corpses were counted in N2. (<b>E</b>,<b>F</b>) Cell corpses were counted in <span class="html-italic">ced-1</span>(e1735) strains in <span class="html-italic">C. elegans.</span> CK: 0 mM; NC: 0.04 mM lycopene; PC: 0.4 mM arecoline, a &lt; 0.05, b &lt; 0.01, c &lt; 0.001. One-way ANOVA with Tukey post hoc test.</p>
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16 pages, 3696 KiB  
Article
Molecular Detection and Phylogenetic Relationships of Honey Bee-Associated Viruses in Bee Products
by Delka Salkova, Ralitsa Balkanska, Rositsa Shumkova, Stela Lazarova, Georgi Radoslavov and Peter Hristov
Vet. Sci. 2024, 11(8), 369; https://doi.org/10.3390/vetsci11080369 - 12 Aug 2024
Abstract
In the last few years, the isolation and amplification of DNA or RNA from the environment (eDNA/eRNA) has proven to be an alternative and non-invasive approach for molecular identification of pathogens and pests in beekeeping. We have recently demonstrated that bee pollen and [...] Read more.
In the last few years, the isolation and amplification of DNA or RNA from the environment (eDNA/eRNA) has proven to be an alternative and non-invasive approach for molecular identification of pathogens and pests in beekeeping. We have recently demonstrated that bee pollen and bee bread represent suitable biological material for the molecular identification of viral RNA. In the present study, we extracted total RNA from different bee products (pollen, n = 25; bee bread, n = 17; and royal jelly, n = 15). All the samples were tested for the presence of six of the most common honey bee-associated viruses—Deformed wing virus (DWV), Acute bee paralysis virus (ABPV), Chronic bee paralysis virus (CBPV), Sacbrood virus (SBV), Kashmir bee virus (KBV), and Black queen cell virus (BQCV)—using a reverse transcription polymerase chain reaction (RT-PCR). We successfully detected six records of DWV (10.5%, 6/57), four of ABPV (7.0%, 4/57), three of Israeli acute paralysis virus (IAPV) (5.3%, 3/57), and two of BQCV (3.5%, 2/57). Using ABPV primers, we also successfully detected the presence of IAPV. The obtained viral sequences were analyzed for phylogenetic relationships with the highly similar sequences (megablast) available in the GenBank database. The Bulgarian DWV isolates revealed a high homology level with strains from Syria and Turkey. Moreover, we successfully detected a DWV strain B for the first time in Bulgaria. In contrast to DWV, the ABPV isolates formed a separate clade in the phylogenetic tree. BQCV was closely grouped with Russian isolates, while Bulgarian IAPV formed its own clade and included a strain from China. In conclusion, the present study demonstrated that eRNA can be successfully used for molecular detection of honey bee-associated viruses in bee products. The method can assist the monitoring of the health status of honey bee colonies at the local, regional, and even national levels. Full article
(This article belongs to the Section Veterinary Microbiology, Parasitology and Immunology)
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<p>Map of the sampling sites from different regions in Bulgaria.</p>
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<p>Map presenting the distribution of the examined positive/negative samples of honey bee-associated viruses in Bulgaria.</p>
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<p>Phylogeny of Deformed wing virus (DWV) isolates from Bulgaria and other countries. The phylogenetic tree based on alignment of the fragment of RdRp gene sequences of DWV isolates from different countries was inferred by using the maximum likelihood method and the Tamura 3-parameter model and then selecting the topology with a superior log likelihood value [<a href="#B57-vetsci-11-00369" class="html-bibr">57</a>]. The indicated branching topology was evaluated by bootstrap resampling of the sequences of 10,000 replicates. Each isolate is indicated by country of isolation and GenBank accession number. Bulgarian isolates identified by this study are presented in green and red [<a href="#B12-vetsci-11-00369" class="html-bibr">12</a>].</p>
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<p>Phylogeny of Acute bee paralysis virus (ABPV) isolates from Bulgaria and other countries. The phylogenetic tree based on alignment of the part of the replicase polyprotein gene sequences of ABPV isolates (431 bp) from different countries was inferred by using the maximum likelihood method and the Tamura 3-parameter model and then selecting the topology with a superior log likelihood value [<a href="#B57-vetsci-11-00369" class="html-bibr">57</a>]. The indicated branching topology was evaluated by bootstrap resampling of the sequences of 10 000 replicates. Each isolate is indicated by country of isolation and GenBank accession number. Bulgarian isolates identified by this study are presented in green and yellow [<a href="#B54-vetsci-11-00369" class="html-bibr">54</a>].</p>
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<p>Phylogeny of Acute bee paralysis virus (IAPV) isolates from Bulgaria and other countries. The phylogenetic tree based on alignment of the part of the replicase polyprotein gene sequences of IAPV isolates (445 bp) from different countries was inferred by using the maximum likelihood method and the Tamura 3-parameter model and then selecting the topology with a superior log likelihood value [<a href="#B57-vetsci-11-00369" class="html-bibr">57</a>]. The indicated branching topology was evaluated by bootstrap resampling of the sequences of 10 000 replicates. Each isolate is indicated by country of isolation and GenBank accession number. Bulgarian isolates identified by this study are presented in green.</p>
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<p>Phylogeny of Black queen cell virus (BQCV) isolates from Bulgaria and other countries. The phylogenetic tree based on alignment of the part of the ORF 1 gene sequences of BQCV isolates (420 bp) from different countries was inferred by using the maximum likelihood method and the Tamura 3-parameter model and then selecting the topology with a superior log likelihood value [<a href="#B57-vetsci-11-00369" class="html-bibr">57</a>]. The indicated branching topology was evaluated by bootstrap resampling of the sequences of 10,000 replicates. Each isolate is indicated by country of isolation and GenBank accession number. Bulgarian isolates identified by this study are presented in green and yellow.</p>
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<p>ABPV–IAPV nucleotide alignment of a 452 bp fragment of the RdRp gene. Asterisks (*) indicate identical nucleotide positions in the alignment. The reported sequences are part of reference viral genomes (ABPV Acc. No. NC 002548; IAPV Acc. No. NC 009025). The PCR primer regions are underlined and in bold.</p>
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17 pages, 4145 KiB  
Article
Nisin, a Probiotic Bacteriocin, Modulates the Inflammatory and Microbiome Changes in Female Reproductive Organs Mediated by Polymicrobial Periodontal Infection
by Changchang Ye, Chuanjiang Zhao, Ryutaro Kuraji, Li Gao, Hélène Rangé, Pachiyappan Kamarajan, Allan Radaic and Yvonne L. Kapila
Microorganisms 2024, 12(8), 1647; https://doi.org/10.3390/microorganisms12081647 - 12 Aug 2024
Viewed by 87
Abstract
Periodontitis-related oral microbial dysbiosis is thought to contribute to adverse pregnancy outcomes (APOs), infertility, and female reproductive inflammation. Since probiotics can modulate periodontitis and oral microbiome dysbiosis, this study examined the effects of a probiotic bacteriocin, nisin, in modulating the reproductive microbiome and [...] Read more.
Periodontitis-related oral microbial dysbiosis is thought to contribute to adverse pregnancy outcomes (APOs), infertility, and female reproductive inflammation. Since probiotics can modulate periodontitis and oral microbiome dysbiosis, this study examined the effects of a probiotic bacteriocin, nisin, in modulating the reproductive microbiome and inflammation triggered by periodontitis. A total of 24 eight-week-old BALB/cByJ female mice were randomly divided into four treatment groups (control, infection, nisin, and infection+nisin group), with 6 mice per group. A polymicrobial (Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia, Fusobacterium nucleatum) mouse model of periodontal disease was used to evaluate the effects of this disease on the female reproductive system, with a focus on the microbiome, local inflammation, and nisin’s therapeutic potential in this context. Moreover, 16s RNA sequencing was used to evaluate the changes in the microbiome and RT-PCR was used to evaluate the changes in inflammatory cytokines. Periodontal pathogen DNA was detected in the reproductive organs, and in the heart and aorta at the end of the experimental period, and the DNA was especially elevated in the oral cavity in the infection group. Compared to the control groups, only P. gingivalis was significantly higher in the oral cavity and uterus of the infection groups, and T. forsythia and F. nucleatum were significantly higher in the oral cavity of the infection groups. The infection and nisin treatment group had significantly lower levels of P. gingivalis, T. forsythia, and F. nucleatum in the oral cavity compared with the infection group. Since periodontal pathogen DNA was also detected in the heart and aorta, this suggests potential circulatory system transmission. The polymicrobial infection generally decreased the microbiome diversity in the uterus, which was abrogated by nisin treatment. The polymicrobial infection groups, compared to the control groups, generally had lower Firmicutes and higher Bacteroidota in all the reproductive organs, with similar trends revealed in the heart. However, the nisin treatment group and the infection and nisin group, compared to the control or infection groups, generally had higher Proteobacteria and lower Firmicutes and Bacteroidota in the reproductive organs and the heart. Nisin treatment also altered the microbiome community structure in the reproductive tract to a new state that did not mirror the controls. Periodontal disease, compared to the controls, triggered an increase in inflammatory cytokines (IL-6, TNF-α) in the uterus and oral cavity, which was abrogated by nisin treatment. Polymicrobial periodontal disease alters the reproductive tract’s microbial profile, microbiome, and inflammatory status. Nisin modulates the microbial profile and microbiome of the reproductive tract and mitigates the elevated uterine inflammatory cytokines triggered by periodontal disease. Full article
(This article belongs to the Section Microbiomes)
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<p>A diagram of the polymicrobial infection protocol. Following 1 week of acclimation and 1 week of antibiotic administration, the mice were infected with the polymicrobial infection from weeks (WKS) 2 to 10. Oral swab samples were collected at baseline after the antibiotic administration and at the end of the experimental period at 10 weeks. Tissues (uterus, ovary, vagina, heart, aorta) were also collected at 10 weeks.</p>
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<p>Oral periodontal pathogens are present in the female upper reproductive organs, plus the heart and aorta, and nisin mitigates changes in the oral cavity. The graphs show the log copy number of the periodontal pathogens <span class="html-italic">P. gingivalis</span> (<b>a</b>), <span class="html-italic">T. forsythia</span> (<b>b</b>), <span class="html-italic">T. denticola</span> (<b>c</b>), and <span class="html-italic">F. nucleatum</span> (<b>d</b>) in the oral swabs (at baseline and infection after 8 weeks) and uterus, ovary, vagina, heart and aorta tissue. Data are represented as the mean ± SD. * indicates significant differences between marked groups (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Polymicrobial periodontal infection triggers an increase in TNF-α and IL-6 mRNA expression in the oral cavity and uterus; nisin mitigates these changes. The graphs show the mRNA cytokine expression levels, including TNF-α (<b>a</b>), IL-β (<b>b</b>), and IL-6 (<b>c</b>), in the oral swabs and uterus, ovary, vagina, heart and aorta. Data are represented as the mean ± SD. * indicates significant differences between the two marked groups (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Polymicrobial periodontal infection alters the microbiome alpha diversity of the female reproductive system and nisin mediates the changes. The graphs show the alpha diversity of the observed species (<b>a</b>) and the Simpson (<b>b</b>), Shannon (<b>c</b>), and Chao1 (<b>d</b>) indices for the uterus, ovary, vagina, and heart tissue. Data are represented as the median ± 95% CI. * indicates significant differences between the two marked groups (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Polymicrobial periodontal infection tends to alter the microbiome beta diversity of the female reproductive system and nisin mediates the changes. Principal coordinate analysis (PCoA) representing the beta diversity for the uterus (<b>a</b>), ovary (<b>b</b>), vagina (<b>c</b>), and heart (<b>d</b>).</p>
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<p>Periodontal infection shifts the relative abundance and microbial composition in the uterus, ovary and vagina; nisin mitigates some changes and establishes a new state. Bar graphs show the relative abundance of each bacteria taxa at the phylum level (<b>a</b>) and genus level (<b>b</b>) in the oral cavity, uterus, ovary, vagina and heart. Data are represented as the mean. # indicates a significant difference between the control and infection groups (<span class="html-italic">p</span> ≤ 0.05). * indicates a significant difference between the infection and infection+nisin groups (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Periodontal infection significantly shifts the relative abundance and microbial phylum composition in the uterus, ovary and vagina; nisin mitigates some changes and establishes a new state. Bar graphs show the significant microbial differences between the groups at the phylum level in the uterus (<b>a</b>), ovary (<b>b</b>), vagina (<b>c</b>), and heart (<b>d</b>). Data are represented as the means in the bar graphs on the left, and as the 95% CIs in the scales on the right; <span class="html-italic">p</span> values are shown in each figure for each species.</p>
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<p>Periodontal infection significantly shifts the relative abundance and microbial genus composition in the uterus, ovary and vagina; nisin mitigates some changes and establishes a new state. Bar graphs show the significant microbial differences between the groups at the phylum level in the uterus (<b>a</b>), ovary (<b>b</b>), and vagina (<b>c</b>) and heart (<b>d</b>). Data are represented as the means in the bar graphs on the left, and as the 95% CIs in the scales on the right; <span class="html-italic">p</span> values are shown in each figure for each species.</p>
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15 pages, 2306 KiB  
Article
Exploring the Microbial Diversity of Botswana’s Traditional Sourdoughs
by Thandiwe Semumu, Nerve Zhou, Lebani Kebaneilwe, Daniel Loeto and Thando Ndlovu
Fermentation 2024, 10(8), 417; https://doi.org/10.3390/fermentation10080417 - 11 Aug 2024
Viewed by 257
Abstract
Sourdough is one of the oldest technologies employed by humans to leaven bread because of its ability to enhance the flavour and structure of bread using micro-organisms. However, there is a lack of comprehensive information in Botswana regarding the diversity of sourdough starters [...] Read more.
Sourdough is one of the oldest technologies employed by humans to leaven bread because of its ability to enhance the flavour and structure of bread using micro-organisms. However, there is a lack of comprehensive information in Botswana regarding the diversity of sourdough starters and the fermentative micro-organisms responsible for spontaneous fermentation. The present study aimed to explore the microbial species diversity of sourdoughs in Botswana and gain insight into the unique microbial communities involved in sourdough production. A total of nine samples were collected from different areas in Botswana. The microbial diversity in sourdoughs was characterized through the sequencing of amplicons of the 16S ribosomal DNA and internal transcribed spacer regions. In silico polymerase chain reaction–restriction fragment length polymorphism and phylogenetics were utilized to determine the genetic diversity among the isolates. The dominant yeast species identified were Saccharomyces cerevisiae, Wickerhamomyces anomamlus, Pichia kudriazverii and kazachstania humilis. Additionally, the presence of Lactiplantibacillus plantarum, Lacticaseibacillus paracasei, Liquorilactobacillus nageli and Bacillus cereus was also detected. It is worth noting that two species of acetic acid bacteria (AAB), namely Acetobacter pasteurianus and A. indonesiensis, were isolated, though in low levels, but the finding is significant in sourdough fermentation. The low occurrence of AAB (acetic acid bacteria) species observed in this study could be an important finding, as these bacteria are considered understudied, yet they are known to contribute significantly to the final product. Full article
(This article belongs to the Special Issue Advances in Yeast Biotechnology from Genomics to Industry)
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<p>Map of Botswana showing sourdough sampling areas. The study area was made up of locations in the southern (Gaborone, Mokatse and Tsabong), central (Ratholo), northwest (Maun) and northern (Francistown) parts of Botswana where the sourdough samples were collected.</p>
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<p>Molecular Phylogenetic analysis and PCR-RFLP for yeast isolates from traditional sourdough. The evolutionary history was inferred using the Maximum Likelihood method based on the Tamura–Nei model [<a href="#B36-fermentation-10-00417" class="html-bibr">36</a>]. Evolutionary analyses were conducted in MEGA 7 [<a href="#B37-fermentation-10-00417" class="html-bibr">37</a>]. Red represents type strains for species isolated, black represents isolates being investigated, green represents other <span class="html-italic">S. cerevisiae</span> strains in the market and purple represents the outgroup. Numbers above branches are bootstrap values and GeneBank and accession numbers are given in parentheses. In silico RFLP shows restriction fragment patterns of yeasts obtained using restriction enzymes <span class="html-italic">Cof1</span>, <span class="html-italic">Hae111</span> and <span class="html-italic">HinfI</span>. The brown boxes show restriction fragment patterns of similar isolates.</p>
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<p>The Molecular Phylogenetic analysis by Maximum Likelihood method and PCR-RFLP for <span class="html-italic">Bacillus</span> and other bacteria (Group I) together with lactic acid bacteria (Group II) from traditional sourdough. The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura–Nei model [<a href="#B36-fermentation-10-00417" class="html-bibr">36</a>]. Evolutionary analyses were conducted in MEGA7 [<a href="#B37-fermentation-10-00417" class="html-bibr">37</a>]. Red = type strains for species isolated, black = isolates being investigated, purple = outgroup. Numbers above branches are bootstrap values and GenBank and accession numbers are given in parenthesis. Restriction fragment patterns of LAB, <span class="html-italic">bacillus</span> and other bacteria obtained using restriction enzymes <span class="html-italic">Alu1</span>, <span class="html-italic">Hae111</span> and <span class="html-italic">HinfI</span>. Purple borders show similarities between isolates from closely related isolates and their type strains, whereas red borders show genetic similarities of isolates to each other.</p>
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<p>The Molecular Phylogenetic analysis by Maximum Likelihood method and PCR-RFLP for acetic acid bacteria isolates from traditional sourdough. The evolutionary history was inferred by using the Maximum Likelihood method based on the Tamura–Nei model [<a href="#B36-fermentation-10-00417" class="html-bibr">36</a>]. Evolutionary analyses were conducted in MEGA7 [<a href="#B37-fermentation-10-00417" class="html-bibr">37</a>]. Red = type strains for species isolated, black = isolates being investigated, purple = outgroup. The numbers above branches are bootstrap values and GenBank and accession numbers are given in parentheses. Restriction fragment patterns of AAB were obtained using restriction enzymes <span class="html-italic">SspI</span>, <span class="html-italic">BsgI</span> and <span class="html-italic">KpnI</span>. Red borders highlight similarities of isolates from different sources/sampling sites to their type strain.</p>
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12 pages, 2904 KiB  
Article
Sodium Acetate Enhances Neutrophil Extracellular Trap Formation via Histone Acetylation Pathway in Neutrophil-like HL-60 Cells
by Hiroyuki Yasuda, Yutaka Takishita, Akihiro Morita, Tomonari Tsutsumi, Naoya Nakagawa and Eisuke F. Sato
Int. J. Mol. Sci. 2024, 25(16), 8757; https://doi.org/10.3390/ijms25168757 (registering DOI) - 11 Aug 2024
Viewed by 274
Abstract
Neutrophil extracellular trap formation has been identified as a new cell death mediator, termed NETosis, which is distinct from apoptosis and necrosis. NETs capture foreign substances, such as bacteria, by releasing DNA into the extracellular environment, and have been associated with inflammatory diseases [...] Read more.
Neutrophil extracellular trap formation has been identified as a new cell death mediator, termed NETosis, which is distinct from apoptosis and necrosis. NETs capture foreign substances, such as bacteria, by releasing DNA into the extracellular environment, and have been associated with inflammatory diseases and altered immune responses. Short-chain fatty acids, such as acetate, are produced by the gut microbiota and reportedly enhance innate immune responses; however, the underlying molecular mechanisms remain unclear. Here, we investigated the effects of sodium acetate, which has the highest SCFA concentration in the blood and gastrointestinal tract, on NETosis by focusing on the mechanisms associated with histone acetylation in neutrophil-like HL-60 cells. Sodium acetate enhanced NETosis, as shown by fluorescence staining with SYTOX green, and the effect was directly proportional to the treatment duration (16–24 h). Moreover, the addition of sodium acetate significantly enhanced the acetylation of Ace-H3, H3K9ace, and H3K14ace. Sodium acetate-induced histone acetylation rapidly decreased upon stimulation with the calcium ionophore A23187, whereas histone citrullination markedly increased. These results demonstrate that sodium acetate induces NETosis via histone acetylation in neutrophil-like HL-60 cells, providing new insights into the therapeutic effects based on the innate immunity-enhancing effect of dietary fiber. Full article
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Figure 1
<p>Sodium acetate increases A23187-induced neutrophil extracellular trap formation (NETosis) (NOX-independent NETosis). (<b>a</b>) After treatment with or without 10 mM sodium acetate during differentiation, NETosis levels in nHL-60 cells treated with (+) or without (−) 10 μM A23187 for 4 h were analyzed through SYTOX green assay (<span class="html-italic">n</span> = 5). Control was not treated with sodium acetate. 16 hr and 24 hr: incubation time of sodium acetate. After sodium acetate incubation, cells were stimulated by A23187. (<b>b</b>) After treatment with or without 10 mM sodium acetate during differentiation, NETosis images were obtained using confocal microscopy of SYTOX green (DNA)-stained nHL-60 cells treated with (+) or without (−) 10 μM A23187 for 2 h.</p>
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<p>Sodium acetate treatment did not increase ROS production in nHL-60 cells after treatment with or without 10 mM sodium acetate during differentiation. Control was not treated with sodium acetate. 16 hr and 24 hr: incubation time of sodium acetate. After sodium acetate incubation, cells were stimulated by A23187. Quantitative chemiluminescence analysis of ROS production in nHL-60 cell culture incubated with or without 10 μM A23187 for 90 min was performed. Data are shown as mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>Effect of ACSS2 inhibitor on release of extracellular DNA. After treating nHL-60 cells with or without 10 μ M ACSS2 inhibitor during sodium acetate treatment, extracellular DNA was isolated and measured by performing extracellular DNA quantification assay. +: Addition of reagents, −: No treatment. Data are shown as mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>Expression of ACSS2, MCT-1, and MCT-4 in nHL-60 cells. After treatment with or without sodium acetate (1 or 10 mM) for 24 h, ACSS2, MCT-1, and MCT-4 expression levels in nHL-60 cells were analyzed using Western blotting. −: No treatment. Data are shown as mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>Sodium acetate enhanced histone acetylation. The nHL-60 cells were incubated with or without sodium acetate for 1 or 24 h. −: The control was not treated with sodium acetate. Following histone extraction, histone acetylation levels were analyzed using Western blotting. Loading of the histones was monitored using Coomassie staining (denoted as CBB). The data are shown as the mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>Histone H3 acetylation in nHL-60 cells. The nHL-60 cells were incubated with or without sodium acetate for 24 h. Following histone extraction, histone acetylation (denoted as H3K9ace, H3K14ace, H3K18ace, and H3K27ace) levels were analyzed by Western blotting using specific antibodies. −: The control was not treated with sodium acetate. +: Addition of 10 mM CH<sub>3</sub>COONa. Loading of the histones was monitored using Coomassie staining (denoted as CBB). The data are shown as the mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>Histone acetylation levels before and after A23187 stimulation. The nHL-60 cells were incubated with or without 10 mM sodium acetate for 24 h. Then, the cells were stimulated with 10 μM A23187. Following histone extraction, histone acetylation levels were analyzed by Western blotting. The control was not treated with sodium acetate. +: Addition of 10 mM CH<sub>3</sub>COONa, −: No treatment. Loading of the histones was monitored using Coomassie staining (denoted as CBB). The data are shown as the mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>Sodium acetate enhanced histone citrullination but not PAD4 expression. (<b>a</b>) nHL-60 cells (treated with or without 10 mM sodium acetate) were treated with or without 10 μM A23187 for 3 h. Following histone extraction, citrullinated histone H3 (denoted as citH3) protein levels were analyzed via Western blotting. Loading of histones was monitored using Coomassie staining (denoted as CBB). +: Addition of reagents, −: No treatment. (<b>b</b>) nHL-60 cells were incubated with or without 10 mM sodium acetate. After cell extraction, PAD4 expression was determined through Western blotting. Ct: Control was not treated with sodium acetate. Data are shown as mean ± SD (<span class="html-italic">n</span> = 3).</p>
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14 pages, 10544 KiB  
Article
Bioinformatic Evaluation of KLF13 Genetic Variant: Implications for Neurodevelopmental and Psychiatric Symptoms
by Mirella Vinci, Donatella Greco, Simone Treccarichi, Valeria Chiavetta, Maria Grazia Figura, Antonino Musumeci, Vittoria Greco, Concetta Federico, Francesco Calì and Salvatore Saccone
Genes 2024, 15(8), 1056; https://doi.org/10.3390/genes15081056 - 11 Aug 2024
Viewed by 219
Abstract
The Krüppel-like factor (KLF) family represents a group of transcription factors (TFs) performing different biological processes that are crucial for proper neuronal function, including neuronal development, synaptic plasticity, and neuronal survival. As reported, genetic variants within the KLF family have been associated with [...] Read more.
The Krüppel-like factor (KLF) family represents a group of transcription factors (TFs) performing different biological processes that are crucial for proper neuronal function, including neuronal development, synaptic plasticity, and neuronal survival. As reported, genetic variants within the KLF family have been associated with a wide spectrum of neurodevelopmental and psychiatric symptoms. In a patient exhibiting attention deficit hyperactivity disorder (ADHD) combined with both neurodevelopmental and psychiatric symptoms, whole-exome sequencing (WES) analysis revealed a de novo heterozygous variant within the Krüppel-like factor 13 (KLF13) gene, which belongs to the KLF family and regulates axonal growth, development, and regeneration in mice. Moreover, in silico analyses pertaining to the likely pathogenic significance of the variant and the impact of the mutation on the KLF13 protein structure suggested a potential deleterious effect. In fact, the variant was localized in correspondence to the starting residue of the N-terminal domain of KLF13, essential for protein–protein interactions, DNA binding, and transcriptional activation or repression. This study aims to highlight the potential involvement of the KLF13 gene in neurodevelopmental and psychiatric disorders. Nevertheless, we cannot rule out that excluded variants, those undetectable by WES, or the polygenic risk may have contributed to the patient’s phenotype given ADHD’s high polygenic risk. However, further functional studies are required to validate its potential contribution to these disorders. Full article
(This article belongs to the Section Human Genomics and Genetic Diseases)
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<p>Detection of c.20T&gt;G within <span class="html-italic">KLF13</span> gene. (<b>a</b>) Depiction of the nucleotide sequence corresponding to the region where the mutation was identified within the <span class="html-italic">KLF13</span> gene. Furthermore, the chromosomal localization of this gene is illustrated. Figure was modified from the UCSC genome database. The asterisk indicates the precise variant site. (<b>b</b>) Whole-exome sequencing (WES) results are presented using the Integrative Genomics Viewer (IGV) visualization tool. As shown in the picture, WES was carried out for the examined patient and both healthy parents. (<b>c</b>) Conventional Sanger sequencing was performed to highlight the c.20T&gt;G variant identified by WES. In the electropherograms, the black, blue, green, and red profiles indicate nucleotides G, C, A, and T.</p>
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<p>Structure prediction analysis and functional domains related to KLF13 protein. (<b>a</b>) Protein structure prediction related to the wild-type KLF13. Each functional domain is marked by different colors. (<b>b</b>) Focus on the wild-type valine residue at position 7, which did not engage in hydrogen bonds with other amino acids. (<b>c</b>) Mutated KLF13 protein. As predicted, the different structural protein folding as result of the mutation is evident. (<b>d</b>) Close-up of the mutated residue as a result of the missense mutation p.Val7Gly. (<b>e</b>) Domain organization patterns related to the KLF13 protein. The specific mutation site is indicated by the black arrow. The light blue asterisk in (<b>b</b>,<b>d</b>,<b>e</b>) indicates the precise position of the missense mutation. (<b>a</b>–<b>d</b>) were generated by UCSF ChimeraX software, while (<b>e</b>) was modified from Uniprot database.</p>
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<p>Structure prediction analysis of the KLF13 protein, focusing on the amino acid residues from positions 3 to 19, revealed significant structural variation from the primary structure to an α helix. Notably, the N-terminal domain of Krüppel-like factor 13 (from residues 7 to 168) begins at the specific mutation site at amino acid 7. The colors used are consistent with the domain organization patterns shown in <a href="#genes-15-01056-f002" class="html-fig">Figure 2</a>. (<b>a</b>) Wild-type KLF13 protein. (<b>b</b>) Close-up of the wild-type protein segment from alanine 3 to serine 19. (<b>c</b>) Mutated KLF13 protein, with visibly different predicted protein folding compared to the wild type. (<b>d</b>) Close-up of the segment from alanine 3 to serine 19, highlighting the mutated glycine 7 (marked with an asterisk). The missense mutation is predicted to result in the formation of an α helix containing 17 hydrogen bonds. (<b>a</b>–<b>d</b>) were generated by UCSF ChimeraX software and subsequently modified.</p>
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<p>Line plots generated with PONDR tool with VLXT score to assess the impact of the mutation on protein stability and flexibility. (<b>a</b>) The VLXT score (blue line) from PONDR analysis for the wild-type KLF13 protein indicates a high rate of structural order at the specific site (green line indicating valine at position 7), with scores lower than 0.5 (orange line). (<b>b</b>) The VLXT score from PONDR analysis for the mutated KLF13 protein shows a higher rate of disorder as a result of the mutation. This is evidenced by the values of the residues before the mutation site being higher than 0.5 (orange line).</p>
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13 pages, 3589 KiB  
Article
Environmental DNA Reveals the Impact of Submarine Groundwater Discharge on the Spatial Variability of Coastal Fish Diversity
by Nguyen Hong Nhat, Mitsuyo Saito, Shin-ichi Onodera, Mayuko Hamada, Fujio Hyodo and Hideaki Nagare
Biology 2024, 13(8), 609; https://doi.org/10.3390/biology13080609 - 11 Aug 2024
Viewed by 232
Abstract
Submarine groundwater discharge (SGD) has recently been recognized as an influential factor in coastal ecosystems; however, little research has been conducted on its effects on coastal fish diversity. To investigate the relationship between SGD and fish diversity, we conducted a survey at the [...] Read more.
Submarine groundwater discharge (SGD) has recently been recognized as an influential factor in coastal ecosystems; however, little research has been conducted on its effects on coastal fish diversity. To investigate the relationship between SGD and fish diversity, we conducted a survey at the coastal island scale using the environmental DNA (eDNA) method. Our findings indicate that fish species richness and functional richness peak at stations with high SGD. Environmental variables, such as salinity, dissolved inorganic nitrogen (DIN) concentration, and SGD, significantly influence fish diversity. Carnivore fish richness was negatively correlated with salinity, while planktivore fish richness was positively correlated. Additionally, SGD and DIN concentrations were found to be crucial in shaping omnivorous and pelagic communities, respectively. This study highlights the role of SGD in enhancing nutrient conditions favorable for diverse fish communities and demonstrates the effectiveness of eDNA metabarcoding for rapid marine biodiversity assessment. These findings provide valuable insights for coastal ecosystem monitoring and management. Full article
(This article belongs to the Special Issue Nutrition, Environment, and Fish Physiology)
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<p>Map showing the study area, with red dots indicating sampling stations. (<b>a</b>) Japan; (<b>b</b>) Seto Inland Sea and (<b>c</b>) Ikuchijima Island.</p>
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<p>Spatial variation in the percentages of (<b>a</b>) fish family, (<b>b</b>) species richness, (<b>c</b>) functional richness and (<b>d</b>) SGD (point color relate to the SGD level of each stations: red for SGD value &gt; 0.07 m/d, green for SGD value range 0.05–0.07 m/d, blue for SGD value range 0.07–0.05 m/d, and purple for SGD value &lt; 0.03).</p>
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<p>Spatial variation in the percentages of (<b>a</b>) feeding diet and (<b>b</b>) depth habit.</p>
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<p>Spearman’s correlation matrix illustrates the relationships between environmental variables in the target island. Statistical significance markers: *** <span class="html-italic">p</span> &lt; 0.001, * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>dbRDA results show model residual variables in (<b>a</b>) omnivore and (<b>b</b>) pelagic fish communities. Point colors relate to the SGD level of each station: red for SGD value &gt; 0.07 m/d, green for SGD value range 0.05–0.07 m/d, blue for SGD value range 0.07–0.05 m/d, and purple for SGD value &lt; 0.03. Blue arrows and black arrows represent environmental variables and fish species, respectively.</p>
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15 pages, 2608 KiB  
Article
Genomic Analysis of a Novel Torradovirus “Rehmannia Torradovirus Virus”: Two Distinct Variants Infecting Rehmannia glutinosa
by Yanhong Qin, Shuhao Lu, Yi Wen, Shaojian Li, Suxia Gao, Desheng Zhang, Xuemeng Li, Jin Yang, Li Gu, Mingjie Li, Fei Wang and Chuantao Lu
Microorganisms 2024, 12(8), 1643; https://doi.org/10.3390/microorganisms12081643 - 11 Aug 2024
Viewed by 252
Abstract
Rehmannia glutinosa, a crucial medicinal plant native to China, is extensively cultivated across East Asia. We used high-throughput sequencing to identify viruses infecting R. glutinosa with mosaic, leaf yellowing, and necrotic symptoms. A novel Torradovirus, which we tentatively named “Rehmannia torradovirus virus” [...] Read more.
Rehmannia glutinosa, a crucial medicinal plant native to China, is extensively cultivated across East Asia. We used high-throughput sequencing to identify viruses infecting R. glutinosa with mosaic, leaf yellowing, and necrotic symptoms. A novel Torradovirus, which we tentatively named “Rehmannia torradovirus virus” (ReTV), was identified. The complete sequences were obtained through reverse-transcription polymerase chain reaction (RT-PCR), 5′ and 3′ rapid amplification of cDNA ends, and Sanger sequencing. The amino acid sequence alignment between the ReTV-52 isolate and known Torradovirus species in the Pro-Pol and coat protein regions were 51.3–73.3% and 37.1–68.1%, respectively. Meanwhile, the amino acid sequence alignment between the ReTV-8 isolate and known Torradovirus species in the Pro-Pol and coat protein regions were 52.7–72.8% and 36.8–67.5%, respectively. The sequence analysis classified ten ReTV strains into two variants. The ReTV-52 genome has two RNA segments of 6939 and 4569 nucleotides, while that of ReTV-8 consists of two RNA segments containing 6889 and 4662 nucleotides. Sequence comparisons and phylogenetic analysis showed ReTV strains clustered within the Torradovirus, exhibiting the closet relation to the squash chlorotic leaf spot virus. The RT-PCR results showed a 100% ReTV detection rate in all 60 R. glutinosa samples. Therefore, ReTV should be classified as a novel Torradovirus species. ReTV is potentially dangerous to R. glutinosa, and necessitating monitoring this virus in the field. Full article
(This article belongs to the Section Plant Microbe Interactions)
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<p>Genome organization of the rehmannia torradovirus virus (ReTV) showing relative positions of ORFs and their expression products. (<b>a</b>) rehmannia torradovirus virus-52, (<b>b</b>) rehmannia torradovirus virus-8. The RNA1 indicated the positions of sequences encoding conserved protein domains (HEL, Pro, and RDRP), while the RNA2 indicate the putative cleavage sites for the MP and CPs. The molecular weight predicted for each protein is reported above the boxes. RNA1 and RNA2 have indicated the start and stop positions of each virus segment in the viral genome organization.</p>
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<p>Cleavage sites of RNA2-ORF2. (<b>a</b>) RNA2-ORF2 MP/CP1 cleavage site, (<b>b</b>) RNA2-ORF2 CP1/CP2 cleavage site, and (<b>c</b>) RNA2-ORF2 CP2/CP3 cleavage site. Putative conserved glutamine (Q) at the −1 position of the cleavage site is highlighted in red. Identical bases are highlighted in yellow. ORF, open reading frame.</p>
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<p>Recombination analysis of ReTV-41 isolates using the recombination detection program RDP4.1 Dark gray regions represent a 95% breakpoint confidence interval, light gray region indicates a 99% breakpoint confidence interval, while the pink region highlights a tract of sequence with a recombination origin. ReTV, rehmannia torradovirus virus.</p>
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<p>Phylogenetic analysis of ReTV and representative members of the family <span class="html-italic">Torradovirus</span> based on the amino acid sequence of (<b>a</b>) the Pro-Pol regions and (<b>b</b>) the CP-containing regions. The phylogenetic trees were constructed using the maximum likelihood method with 1000 bootstrap replications. Red dots: Sequences obtained in this study, TI, tomato-infecting, NTI, non-tomato-infecting. Motherwort yellow mottle virus (MYMoV), Codonopsis torradovirus A (CoTVA), lettuce necrotic leaf curl virus (LNLCV), carrot torradovirus 1 (CaTV1), tomato marchitez virus (ToMarV), tomato chocolate spot virus (ToCSV), tomato torrado virus (ToTV), cassava torrado-like virus (CsTLV), squash chlorotic leaf spot virus (SCLSV), cherry rasp leaf virus (CRLV), apple latent spherical virus (ALSV), currant latent virus (CuLV), satsuma dwarf virus (SDV), lychnis mottle virus (LycMoV), and strawberry latent ringspot virus (SLRSV).</p>
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<p>Phylogenetic analysis of ReTV and representative members of the family <span class="html-italic">Torradovirus</span> based on the amino acid sequence of (<b>a</b>) the Pro-Pol regions and (<b>b</b>) the CP-containing regions. The phylogenetic trees were constructed using the maximum likelihood method with 1000 bootstrap replications. Red dots: Sequences obtained in this study, TI, tomato-infecting, NTI, non-tomato-infecting. Motherwort yellow mottle virus (MYMoV), Codonopsis torradovirus A (CoTVA), lettuce necrotic leaf curl virus (LNLCV), carrot torradovirus 1 (CaTV1), tomato marchitez virus (ToMarV), tomato chocolate spot virus (ToCSV), tomato torrado virus (ToTV), cassava torrado-like virus (CsTLV), squash chlorotic leaf spot virus (SCLSV), cherry rasp leaf virus (CRLV), apple latent spherical virus (ALSV), currant latent virus (CuLV), satsuma dwarf virus (SDV), lychnis mottle virus (LycMoV), and strawberry latent ringspot virus (SLRSV).</p>
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