[go: up one dir, main page]

 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (14,631)

Search Parameters:
Keywords = high isolation

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
12 pages, 411 KiB  
Article
Process Groups for Supporting Resident Wellbeing: Factors Influencing Resident Wellness Amid the COVID-19 Pandemic
by Shawen Ilaria, Kristen M. Coppola, Liesel Copeland, Sarang Kim, Christine Fanning, Ranita Sharma and Hanin Rashid
Healthcare 2024, 12(20), 2059; https://doi.org/10.3390/healthcare12202059 (registering DOI) - 16 Oct 2024
Abstract
Background: Burnout is a well-recognized problem among resident physicians. The COVID-19 pandemic impacted the dynamics of the patient/resident relationship and introduced new stressors for medical trainees, such as new restrictions in the hospital, increased patient death, and uncertainty around safety. There is limited [...] Read more.
Background: Burnout is a well-recognized problem among resident physicians. The COVID-19 pandemic impacted the dynamics of the patient/resident relationship and introduced new stressors for medical trainees, such as new restrictions in the hospital, increased patient death, and uncertainty around safety. There is limited research on the implementation of group therapy for residents to address issues of wellbeing and burnout during the pandemic. Method: In response to perceived burnout amongst internal medicine residents, a university-based internal medicine residency program in the Northeast United States implemented process groups, a form of group therapy, in the curriculum. These sessions were held hourly once every five weeks for each cohort of twelve residents during the academic year. We sought to measure resident burnout and identify themes that impacted wellbeing to facilitate the intervention of process groups during the pandemic. In 2021 and 2022, internal medicine residents were invited to complete the Maslach Burnout Inventory (MBI) and answer two open-ended questions about the factors that most negatively and positively influenced their wellness. Results: Of the 134 participants, 82% had high emotional exhaustion or depersonalization. The most prevalent themes hindering wellness were negative personal interactions at work, most notably rude behavior by patients, unsupportive attendings, residency program expectations, and work intensity. Findings unique to the pandemic include social isolation from family, distress from poor outcomes, and fear of contracting or spreading the virus. The most prevalent themes for supporting wellness were personal life, camaraderie, professional satisfaction, and program structured support. Conclusions: Our findings suggest that programs can tailor structured support to improve wellness, despite the presence of significant stressors. Full article
15 pages, 1626 KiB  
Article
A Study on the Design of a New Three-Dimensional Seismic Isolation Bearing Based on an Improved Genetic Algorithm for Bridge Engineering
by Ying Sheng, Zhenchao Yang, Yu Meng and Bin Jia
Appl. Sci. 2024, 14(20), 9453; https://doi.org/10.3390/app14209453 (registering DOI) - 16 Oct 2024
Abstract
(1) Background: In most cases, passive isolation control methods are commonly used for the seismic isolation design in bridge engineering. However, passive seismic isolation devices, due to their non-adjustable performance parameters, struggle to achieve effective seismic isolation across a wide frequency range of [...] Read more.
(1) Background: In most cases, passive isolation control methods are commonly used for the seismic isolation design in bridge engineering. However, passive seismic isolation devices, due to their non-adjustable performance parameters, struggle to achieve effective seismic isolation across a wide frequency range of 0 Hz to 20 Hz in response to random and varying seismic loads. (2) Methods: The sensitivity of the design parameters of the seismic isolation bearing was analyzed using the optimization center gradient method, and an improved genetic algorithm was employed to quickly optimize and obtain the optimal design parameters. (3) Results: The effectiveness of the three-dimensional seismic isolation bearing was validated through experiments. (4) Conclusions: The multi-factor sensitivity analysis approach used in this study for designing novel isolation bearings is applicable not only to seismic design in bridges but also serves as a reference for parameter design in isolation bearings requiring medium to high precision in seismic performance. Full article
(This article belongs to the Special Issue Bridge Structural Analysis)
18 pages, 1334 KiB  
Article
Studying the Stability of Anthocyanin Pigments Isolated from Juices of Colored-Fleshed Potatoes
by Agnieszka Tkaczyńska, Esther Sendra, Nuria Jiménez-Redondo and Elżbieta Rytel
Int. J. Mol. Sci. 2024, 25(20), 11116; https://doi.org/10.3390/ijms252011116 (registering DOI) - 16 Oct 2024
Abstract
The aim of this study was to obtain extracts of anthocyanin pigments from red and purple-fleshed potato juices characterized by stable color. For this purpose, potato juices were pasteurized at different temperatures or fruit and vegetable concentrates were added to them. Color stability [...] Read more.
The aim of this study was to obtain extracts of anthocyanin pigments from red and purple-fleshed potato juices characterized by stable color. For this purpose, potato juices were pasteurized at different temperatures or fruit and vegetable concentrates were added to them. Color stability tests of the obtained pigments were carried out in model pH and temperature conditions and after adding to natural yogurt. Both the pasteurization process and the addition of fruit and vegetable concentrates to the potato juices positively affected their color and its stability in time. However, the pasteurization of the potato juices had a negative effect on the content of biologically active compounds, in contrast to the juices stabilized with the addition of fruit and vegetable concentrates. Anthocyanin pigments from red-fleshed potato juices were more stable than those isolated from the purple-fleshed potato juices. The results of model tests of the anthocyanin pigment concentrates from the colored-flesh potatoes and natural yoghurts with their addition confirmed the high stability of the tested concentrates. Full article
(This article belongs to the Section Bioactives and Nutraceuticals)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Sensory evaluation of yogurts without (natural yogurt) and with added pigments obtained from pasteurized and unpasteurized juices. 0—lowest score; 10—highest score.</p>
Full article ">Figure 2
<p>Sensory evaluation of yogurts without (natural yogurt) and with added pigments obtained from juices with added fruit and vegetable concentrates. 0—lowest score; 10—highest score.</p>
Full article ">
33 pages, 10253 KiB  
Systematic Review
Schistosomiasis–Microbiota Interactions: A Systematic Review and Meta-Analysis
by Philip Afful, Godwin Kwami Abotsi, Czarina Owusua Adu-Gyamfi, George Benyem, Gnatoulma Katawa, Samuel Kyei, Kathrin Arndts, Manuel Ritter and Kwame Kumi Asare
Pathogens 2024, 13(10), 906; https://doi.org/10.3390/pathogens13100906 (registering DOI) - 16 Oct 2024
Abstract
Introduction: Schistosomiasis, a tropical disease affecting humans and animals, affected 251.4 million people in 2021. Schistosoma mansoni, S. haematobium, S. intercalatum, and S. japonicum are primary human schistosomes, causing tissue damage, granulomas, ulceration, hemorrhage, and opportunistic pathogen entry. The gut [...] Read more.
Introduction: Schistosomiasis, a tropical disease affecting humans and animals, affected 251.4 million people in 2021. Schistosoma mansoni, S. haematobium, S. intercalatum, and S. japonicum are primary human schistosomes, causing tissue damage, granulomas, ulceration, hemorrhage, and opportunistic pathogen entry. The gut and urinary tract microbiota significantly impact a host’s susceptibility to schistosomiasis, disrupting microbial balance; however, this relationship is not well understood. This systematic review and meta-analysis explores the intricate relationship between schistosomiasis and the host’s microbiota, providing crucial insights into disease pathogenesis and management. Methods: This systematic review used PRISMA guidelines to identify peer-reviewed articles on schistosomiasis and its interactions with the host microbiome, using multiple databases and Google Scholar, providing a robust dataset for analysis. The study utilized Meta-Mar v3.5.1; descriptive tests, random-effects models, and subgroups were analyzed for the interaction between Schistosomiasis and the microbiome. Forest plots, Cochran’s Q test, and Higgins’ inconsistency statistic (I2) were used to assess heterogeneity. Results: The human Schistosoma species were observed to be associated with various bacterial species isolated from blood, stool, urine, sputum, skin, and vaginal or cervical samples. A meta-analysis of the interaction between schistosomiasis and the host microbiome, based on 31 studies, showed 29,784 observations and 5871 events. The pooled estimates indicated a significant association between schistosomiasis and changes in the microbiome of infected individuals. There was considerable heterogeneity with variance effect sizes (p < 0.0001). Subgroup analysis of Schistosoma species demonstrated that S. haematobium was the most significant contributor to the overall heterogeneity, accounting for 62.1% (p < 0.01). S. mansoni contributed 13.0% (p = 0.02), and the coinfection of S. haematobium and S. mansoni accounted for 16.8% of the heterogeneity (p < 0.01), contributing to the variability seen in the pooled analysis. Similarly, praziquantel treatment (RR = 1.68, 95% CI: 1.07–2.64) showed high heterogeneity (Chi2 = 71.42, df = 11, p < 0.01) and also indicated that Schistosoma infections in males (RR = 1.46, 95% CI: 0.00 to 551.30) and females (RR = 2.09, 95% CI: 0.24 to 18.31) have a higher risk of altering the host microbiome. Conclusions: Schistosomiasis significantly disrupts the host microbiota across various bodily sites, leading to increased susceptibility to different bacterial taxa such as E. coli, Klebsiella, Proteus, Pseudomonas, Salmonella, Staphylococcus, Streptococcus, and Mycobacterium species (M. tuberculosis and M. leprae). This disruption enables these bacteria to produce toxic metabolites, which in turn cause inflammation and facilitate the progression of disease. The impact of schistosomiasis on the vaginal microbiome underscores the necessity for gender-specific approaches to treatment and prevention. Effective management of female genital schistosomiasis (FGS) requires addressing both the parasitic infection and the resulting microbiome imbalances. Additionally, praziquantel-treated individuals have different microbiome compositions compared to individuals with no praziquantel treatment. This suggests that combining praziquantel treatment with probiotics could potentially decrease the disease severity caused by an altered microbiome. Full article
Show Figures

Figure 1

Figure 1
<p>PRISMA flow chart for search and selection of included studies.</p>
Full article ">Figure 2
<p>The geographical distribution of the included studies. The red indicates the various studies and the countries where they were conducted.</p>
Full article ">Figure 3
<p>Forest plot showing the risk ratio of schistosomiasis and bacterial infections from 31 studies.</p>
Full article ">Figure 4
<p>Forest plot showing the risk difference of schistosomiasis and bacterial infections from 31 studies.</p>
Full article ">Figure 5
<p>Forest plot showing the risk ratio of schistosomiasis and bacterial infection based on <span class="html-italic">Schistosoma</span> species.</p>
Full article ">Figure 6
<p>Forest plot showing the risk difference of schistosomiasis and bacterial infection based on <span class="html-italic">Schistosoma</span> species.</p>
Full article ">Figure 7
<p>Forest plot showing the risk ratio of schistosomiasis and bacterial infection based on praziquantel treatment.</p>
Full article ">Figure 8
<p>Forest plot showing the risk difference of schistosomiasis and bacterial infection based on praziquantel treatment.</p>
Full article ">Figure 9
<p>Forest plot showing the risk ratio of schistosomiasis and bacterial infection based on gender.</p>
Full article ">Figure 10
<p>Forest plot showing the risk difference of schistosomiasis and bacterial infection based on gender.</p>
Full article ">Figure 11
<p>Boxplot showing the effect size distribution of <span class="html-italic">Schistosoma</span> species among schistosomiasis and bacterial coinfection; (<b>a</b>) effect size calculation from risk ratio, (<b>b</b>) effect size calculation from risk difference.</p>
Full article ">Figure 12
<p>Funnel plot (Trim and Fill) showing asymmetrical distribution for schistosomiasis and bacterial infection from the 31 studies; (<b>a</b>) assess publication bias based on risk ratio analysis, (<b>b</b>) assess publication bias based on risk difference analysis.</p>
Full article ">Figure 12 Cont.
<p>Funnel plot (Trim and Fill) showing asymmetrical distribution for schistosomiasis and bacterial infection from the 31 studies; (<b>a</b>) assess publication bias based on risk ratio analysis, (<b>b</b>) assess publication bias based on risk difference analysis.</p>
Full article ">Figure 13
<p>Interplay of schistosome infection, microbiome, and immune system.</p>
Full article ">
26 pages, 3878 KiB  
Review
Clavulanic Acid Overproduction: A Review of Environmental Conditions, Metabolic Fluxes, and Strain Engineering in Streptomyces clavuligerus
by David Gómez-Ríos, Luisa María Gómez-Gaona and Howard Ramírez-Malule
Fermentation 2024, 10(10), 526; https://doi.org/10.3390/fermentation10100526 - 16 Oct 2024
Abstract
Clavulanic acid is a potent β-lactamase inhibitor produced by Streptomyces clavuligerus, widely used in combination with β-lactam antibiotics to combat antimicrobial resistance. This systematic review analyzes the most successful methodologies for clavulanic acid overproduction, focusing on the highest yields reported in bench-scale and [...] Read more.
Clavulanic acid is a potent β-lactamase inhibitor produced by Streptomyces clavuligerus, widely used in combination with β-lactam antibiotics to combat antimicrobial resistance. This systematic review analyzes the most successful methodologies for clavulanic acid overproduction, focusing on the highest yields reported in bench-scale and bioreactor-scale fermentations. Studies have demonstrated that glycerol is the preferred carbon source for clavulanic acid production over other sources like starch and dextrins. The optimization of feeding strategies, especially in fed-batch operations, has improved glycerol utilization and extended the clavulanic acid production phase. Organic nitrogen sources, particularly soybean protein isolates and amino acid supplements such as L-arginine, L-threonine, and L-glutamate, have been proven effective at increasing CA yields both in batch and fed-batch cultures, especially when balanced with appropriate carbon sources. Strain engineering approaches, including mutagenesis and targeted genetic modifications, have allowed for the obtainment of overproducer S. clavuligerus strains. Specifically, engineering efforts that overexpress key regulatory genes such as ccaR and claR, or that disrupt competing pathways, redirect the metabolic flux towards CA biosynthesis, leading to high clavulanic acid titers. The fed-batch operation at the bioreactor scale emerges as the most feasible alternative for prolonged clavulanic acid production with both wild-type and mutant strains, allowing for the attainment of high titers during cultivations. Full article
(This article belongs to the Special Issue Metabolic Engineering in Microbial Synthesis)
Show Figures

Figure 1

Figure 1
<p>Typical vegetative mycelium of <span class="html-italic">S. clavuligerus</span> in submerged cultivation: (<b>a</b>) shake flask; (<b>b</b>) bioreactor.</p>
Full article ">Figure 2
<p>CA biosynthesis in <span class="html-italic">S. clavuligerus</span>. Red, blue, and green carbons correspond to atoms coming from L-arginine, glyceraldehyde 3-phosphate, and glycine, respectively.</p>
Full article ">Figure 3
<p>PRISMA algorithm for article selection.</p>
Full article ">Figure 4
<p>Connections of C-3 and C-5 precursors with clavulanic acid biosynthesis.</p>
Full article ">
13 pages, 1815 KiB  
Article
Development of a High-Resolution Melting Method for the Detection of Clarithromycin-Resistant Helicobacter pylori in the Gastric Microbiome
by Zupeng Kuang, Huishu Huang, Ling Chen, Yanyan Shang, Shixuan Huang, Jun Liu, Jianhui Chen, Xinqiang Xie, Moutong Chen, Lei Wu, He Gao, Hui Zhao, Ying Li and Qingping Wu
Antibiotics 2024, 13(10), 975; https://doi.org/10.3390/antibiotics13100975 (registering DOI) - 16 Oct 2024
Abstract
Background: The issue of Helicobacter pylori (H. pylori) resistance to clarithromycin (CLR) has consistently posed challenges for clinical treatment. Hence, a rapid susceptibility testing (AST) method urgently needs to be developed. Methods: In the present study, 35 isolates of H. pylori [...] Read more.
Background: The issue of Helicobacter pylori (H. pylori) resistance to clarithromycin (CLR) has consistently posed challenges for clinical treatment. Hence, a rapid susceptibility testing (AST) method urgently needs to be developed. Methods: In the present study, 35 isolates of H. pylori were isolated from 203 gastritis patients of the Guangzhou cohort, and the antimicrobial resistance phenotypes were associated with their genomes to analyze the relevant mutations. Based on these mutations, a rapid detection system utilizing high-resolution melting (HRM) curve analysis was designed and verified by the Shenzhen cohort, which consisted of 38 H. pylori strains. Results: Genomic analysis identified the mutation of the 2143 allele from A to G (A2143G) of 23S rRNA as the most relevant mutation with CLR resistance (p < 0.01). In the HRM system, the wild-type H. pylori showed a melting temperature (Tm) of 79.28 ± 0.01 °C, while the mutant type exhibited a Tm of 79.96 ± 0.01 °C. These differences enabled a rapid distinction between two types of H. pylori (p < 0.01). Verification examinations showed that this system could detect target DNA as low as 0.005 ng/μL in samples without being affected by other gastric microorganisms. The method also showed a good performance in the Shenzhen validation cohort, with 81.58% accuracy, and 100% specificity. Conclusions: We have developed an HRM system that can accurately and quickly detect CLR resistance in H. pylori. This method can be directly used for the detection of gastric microbiota samples and provides a new benchmark for the simple detection of H. pylori resistance. Full article
Show Figures

Figure 1

Figure 1
<p>Epidemiological investigation of <span class="html-italic">H. pylori</span> antibiotic resistance in the Guangzhou cohort. (<b>A</b>) The resistance profiles of 35 isolated <span class="html-italic">H. pylori</span> strains to five antibiotics are depicted. Phylogenetic trees were constructed based on SNP analysis of the genomic sequences, with each <span class="html-italic">H. pylori</span> strain represented by rectangular bars in green (susceptible) and red (resistant), corresponding to their antibiotic resistance phenotypes. (<b>B</b>) MIC values of <span class="html-italic">H. pylori</span> isolated strains from the Guangzhou cohort for 5 antibiotics are presented, denoted as R and S.</p>
Full article ">Figure 2
<p>Mutational profiles of 35 clinical isolates from the Guangzhou cohort. (<b>A</b>) Genetic analysis of CLR resistance in the Guangzhou cohort: The phenotype of strain resistance to CLR is represented by green (S) and red (R) rectangles. Purple indicates the presence of gene mutations, while pink indicates the absence of mutations. (<b>B</b>) Correlation analysis of different mutational sites in the <span class="html-italic">23S rRNA</span> gene of the Guangzhou cohort with CLR resistance phenotypes: The horizontal axis repre-sents the positions of mutational sites in the <span class="html-italic">23S rRNA</span> gene, while the vertical axis indicates the likelihood of their association with CLR resistance phenotypes, with <span class="html-italic">p</span>-values represented as −log10. The blue line denotes significant correlation (<span class="html-italic">p</span> = 0.005), and the red line denotes highly significant correlation (<span class="html-italic">p</span> = 0.001). (<b>C</b>) MIC comparison of <span class="html-italic">H. pylori</span> with A and G alleles at position 2143 in the <span class="html-italic">23S rRNA</span> gene: Purple represents samples with the A2143G mutation, while red represents wild-type samples without the A2143G mutation. ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
Full article ">Figure 3
<p>Evaluation of <span class="html-italic">H. pylori 23S rRNA</span> gene A2143G detection efficiency using the HRM system based on Primer 4. (<b>A</b>) Standardized melting peaks detected in 35 isolated <span class="html-italic">H. pylori</span> strains by the HRM system. (<b>B</b>) The optimized difference plot formed from the standardized melting peaks after algorithm optimization by the LightCycler<sup>®</sup> 480 PCR instrument, allowing for more intuitive differ-entiation. (<b>C</b>) Statistical analysis of the Tm values for samples with the 2143 allele A (purple) and the 2143 allele G. (<b>D</b>) Tm values of genomic DNA from samples with 2143 allele A (purple) and 2143 allele G (red) at different concentrations. ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
Full article ">Figure 4
<p>Detection performance of HRM in gastric microbiota. (<b>A</b>) Difference plot curves of differ-ent gastric isolated strains. (<b>B</b>) Tm of different gastric isolated strains. (<b>C</b>) Normalized melting peaks at different abundances of <span class="html-italic">H. pylori</span>. (<b>D</b>) Standardized melting peaks of wild-type, resistant-type, and two mixed microbial populations. ***: <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 5
<p>Validation outcomes of the Shenzhen queue samples. (<b>A</b>) To validate the detection results of the queue, a comparative analysis was conducted among the phenotype experiment, sequencing, and HRM methods. S is represented by the green color, and R by the red color. (<b>B</b>) The relationship between sensitive and resistant samples in the validation cohort with MIC is depicted. (<b>C</b>) An ROC curve was constructed based on HRM detection results obtained from the validation queue. ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
Full article ">
14 pages, 848 KiB  
Review
The Emerging Applications of Raman Spectroscopy in Clinical Oncology: A Narrative Review Focused on Circulating Tumor DNA Detection and Therapeutic Drug Monitoring
by Sathya Narayanan, Yuling Wang and Howard Gurney
Onco 2024, 4(4), 335-348; https://doi.org/10.3390/onco4040023 (registering DOI) - 16 Oct 2024
Viewed by 139
Abstract
Raman spectroscopy is a technique which involves quantitative and qualitative molecular analysis based on the interaction between incident light and isolation of scattered wavelengths in generating a molecular fingerprint. It has a broad array of potential scientific applications, encompassing areas as diverse as [...] Read more.
Raman spectroscopy is a technique which involves quantitative and qualitative molecular analysis based on the interaction between incident light and isolation of scattered wavelengths in generating a molecular fingerprint. It has a broad array of potential scientific applications, encompassing areas as diverse as food science and forensics. However, it may also be highly useful in clinical oncology. A recent focus of research in oncology has been in achieving the individualisation of care. Two important strategies to achieve a so-called “precision oncology” approach may include the detection of circulating tumour DNA (ctDNA) in more objectively evaluating treatment response and guiding de-escalation and intensification approaches in systemic therapy and therapeutic drug monitoring (TDM). Therapeutic drug monitoring involves the quantitation of plasma drug levels in order to tailor medication dosing in optimizing outcomes. The existing approaches to characterize small molecules, such as fluorescence-based and chromatographic strategies, may be limited by high costs, long turnaround times, and bulky equipment. Surface-enhanced Raman spectroscopy (SERS) may be deployed by utilizing a handheld device, with the potential for point of care, rapid turnaround, low-cost assessment of clinically relevant parameters, and prompt implementation of attendant changes in treatment. Although there is a growing body of data supporting the implementation of TDM and evaluation of ctDNA in achieving precision medicine, the uptake of such approaches remains relatively limited outside of clinical trials. As stated, the nature of existing analytical methodologies may prove to be a significant barrier to the routine clinic-based implementation of such approaches. Therefore, we provide the existing evidence for SERS in alleviating these barriers. We also provide insights into how SERS could contribute to clinical oncology. Full article
(This article belongs to the Special Issue The Evolving Landscape of Contemporary Cancer Therapies)
Show Figures

Figure 1

Figure 1
<p>Phenomenon of Raman scattering as an incident light source interacts with the analyte sample.</p>
Full article ">Figure 2
<p>Potential roles for ctDNA analysis in oncology.</p>
Full article ">
13 pages, 265 KiB  
Article
The Discursive Configuration of the Therapeutic Community for Substance Users: Positioning and Ethnopsychological Processes Concerning Entry
by Antonio Iudici, Tobia Berardelli, Davide Fenini, Emiliano Subissi and Jessica Neri
Behav. Sci. 2024, 14(10), 951; https://doi.org/10.3390/bs14100951 (registering DOI) - 15 Oct 2024
Viewed by 208
Abstract
Therapeutic communities face high drop-out rates and general distrust of their effectiveness among substance users. Actively involving users early in treatment promotes greater compliance with the treatment and is predictive of better outcomes. However, users often occupy a passive and subordinate role, exacerbated [...] Read more.
Therapeutic communities face high drop-out rates and general distrust of their effectiveness among substance users. Actively involving users early in treatment promotes greater compliance with the treatment and is predictive of better outcomes. However, users often occupy a passive and subordinate role, exacerbated by the lack of research that explores their perspectives, beliefs, and experiences. This study examined the discourses of 57 consumers who were part of a community for less than 15 days, investigating the meanings attributed to service entry and treatment. A protocol of four written open-ended questions was employed and analysed through discourse analysis and positioning theory. The results indicate that participants configure the community as a place symbolically and spatially distinct from the rest of the world, where they isolate themselves to seek support during times of extreme difficulty. However, what they are seeking is a solution to acute distress caused by substance use, intertwined with social, economic, and relational issues. The concept of treatment is built on the image of the substance user as an individual making a weak request for help, attributing the problem solely to drugs and exhibiting reduced agency in addressing their issues. The collected texts provide a better understanding of the experiences of new users, highlighting the importance of co-constructing personalised projects that empower consumers to feel actively involved in their own change, exploring their theories and definitions of self to structure pathways based strictly on their needs. Full article
(This article belongs to the Special Issue Promoting Behavioral Change to Improve Health Outcomes)
35 pages, 1652 KiB  
Review
Traditional and Hybrid Topologies for Single-/Three-Phase Transformerless Multilevel Inverters
by Ayesha Wajiha Aslam, Jamil Hassan, Víctor Minambres-Marcos, Ali Gaeed Seger Al-salloomee and Carlos Roncero-Clemente
Electronics 2024, 13(20), 4058; https://doi.org/10.3390/electronics13204058 (registering DOI) - 15 Oct 2024
Viewed by 201
Abstract
With increasing interest in integrating solar power into the utility grid, multilevel inverters are gaining much more attention for medium- and high-power applications due to their high-quality waveform, low voltage stress across active components, and low total harmonic distortion in output voltage. However, [...] Read more.
With increasing interest in integrating solar power into the utility grid, multilevel inverters are gaining much more attention for medium- and high-power applications due to their high-quality waveform, low voltage stress across active components, and low total harmonic distortion in output voltage. However, to achieve these benefits, a large number of active and passive components are required. A transformer is also required to provide galvanic isolation, which increases its size and weight and reduces its power density and efficiency. In order to overcome the disadvantages posed by transformer-based inverters, research is being conducted on the transformerless topology of multilevel inverters. The first aim of this review article is to summarize traditional transformerless multilevel inverters (TMLIs) considering both single- and three-phase topologies. Secondly, the main aim of this article is to provide a detailed overview of the hybrid topologies of TMLIs that employ fewer components for photovoltaic applications. In addition, this study compares traditional and hybrid single-/three-phase topologies in terms of component count and performance factors, which will be useful to researchers. Full article
25 pages, 21311 KiB  
Article
Experimental Study on Seismic Performance Evaluation of a Multi-Story Steel Building Model with Rolling-Type Seismic Base Isolation
by Hakan Öztürk, Erkan Çelebi and Cemalettin Kaya
Buildings 2024, 14(10), 3268; https://doi.org/10.3390/buildings14103268 (registering DOI) - 15 Oct 2024
Viewed by 219
Abstract
Critical structures such as hospitals, high-precision manufacturing facilities, telecommunications centers, and fire stations, especially, need to maintain their functionality even during severe earthquakes. In this sense, seismic isolation technology serves as a vital design method for preserving their functionality. Seismic isolators, also known [...] Read more.
Critical structures such as hospitals, high-precision manufacturing facilities, telecommunications centers, and fire stations, especially, need to maintain their functionality even during severe earthquakes. In this sense, seismic isolation technology serves as a vital design method for preserving their functionality. Seismic isolators, also known as earthquake isolation systems, are used to reduce the effects of earthquakes on buildings by isolating them from the ground they are located on. By ensuring that less acceleration and force demand is transmitted to the superstructure, both the building and the equipment and the devices in the building are prevented from being damaged by earthquakes. This experimental study aims to conduct vibration tests on a small-scale multi-story steel-building model equipped with a specially designed rolling-type seismic base isolation system. The relationship between the test model and the prototype was achieved by frequency simulation. The tests will be performed on a shake table under six different earthquake accelerations to examine the model’s dynamic behavior. The primary goal is to evaluate the isolation performance of the rolling-type seismic base isolator under seismic loads, with a focus on recording the vibrations at the top of the test building. It has been observed that the isolator placed at the base of the building significantly reduced the peak acceleration and displacement values of the floor motion. Under the most severe earthquake record applied to the shake table, the acceleration at the top of the building with the isolator was found to be reduced by approximately 50%, compared to the non-isolated case. Full article
(This article belongs to the Section Building Structures)
Show Figures

Figure 1

Figure 1
<p>Uniaxial shake table and associated components.</p>
Full article ">Figure 2
<p>Experimental models. (<b>a</b>) Initial test model (units are mm). (<b>b</b>) Improved test model (units are mm).</p>
Full article ">Figure 2 Cont.
<p>Experimental models. (<b>a</b>) Initial test model (units are mm). (<b>b</b>) Improved test model (units are mm).</p>
Full article ">Figure 3
<p>Seismic isolator cross-section.</p>
Full article ">Figure 4
<p>Seismic isolator and components.</p>
Full article ">Figure 4 Cont.
<p>Seismic isolator and components.</p>
Full article ">Figure 5
<p>Synthetic earthquake record (PGA = 0.50 g) and its Fourier spectrum.</p>
Full article ">Figure 6
<p>Synthetic earthquake record (PGA = 0.75 g) and its Fourier spectrum.</p>
Full article ">Figure 7
<p>Synthetic earthquake record (PGA = 1.00 g) and its Fourier spectrum.</p>
Full article ">Figure 8
<p>Synthetic earthquake record (PGA = 1.50 g) and its Fourier spectrum.</p>
Full article ">Figure 9
<p>Synthetic earthquake record (PGA = 2.00 g) and its Fourier spectrum.</p>
Full article ">Figure 10
<p>Synthetic earthquake record (PGA = 2.50 g) and its Fourier spectrum.</p>
Full article ">Figure 11
<p>Dynamic testing of non-isolated model (units are mm).</p>
Full article ">Figure 12
<p>Acceleration– and displacement–time histories at the top of the non-isolated structure and the shake table (PGA = 0.50 g).</p>
Full article ">Figure 13
<p>Acceleration– and displacement–time histories at the top of the non-isolated structure and the shake table (PGA = 0.75 g).</p>
Full article ">Figure 13 Cont.
<p>Acceleration– and displacement–time histories at the top of the non-isolated structure and the shake table (PGA = 0.75 g).</p>
Full article ">Figure 14
<p>Acceleration– and displacement–time histories at the top of the non-isolated structure and the shake table (PGA = 1.00 g).</p>
Full article ">Figure 15
<p>Acceleration– and displacement–time histories at the top of the non-isolated structure and the shake table (PGA = 1.50 g).</p>
Full article ">Figure 16
<p>Acceleration– and displacement–time histories at the top of the non-isolated structure and the shake table (PGA = 2.00 g).</p>
Full article ">Figure 16 Cont.
<p>Acceleration– and displacement–time histories at the top of the non-isolated structure and the shake table (PGA = 2.00 g).</p>
Full article ">Figure 17
<p>Acceleration– and displacement–time histories at the top of the non-isolated structure and the shake table (PGA = 2.50 g).</p>
Full article ">Figure 18
<p>Dynamic testing of base-isolated model (units are mm).</p>
Full article ">Figure 19
<p>Acceleration– and displacement–time histories at the top of the base-isolated structure and the shake table (PGA = 0.50 g).</p>
Full article ">Figure 20
<p>Acceleration– and displacement–time histories at the top of the base-isolated structure and the shake table (PGA = 0.75 g).</p>
Full article ">Figure 20 Cont.
<p>Acceleration– and displacement–time histories at the top of the base-isolated structure and the shake table (PGA = 0.75 g).</p>
Full article ">Figure 21
<p>Acceleration– and displacement–time histories at the top of the base-isolated structure and the shake table (PGA = 1.00 g).</p>
Full article ">Figure 22
<p>Acceleration– and displacement–time histories at the top of the base-isolated structure and the shake table (PGA = 1.50 g).</p>
Full article ">Figure 23
<p>Acceleration– and displacement–time histories at the top of the base-isolated structure and the shake table (PGA = 2.00 g).</p>
Full article ">Figure 23 Cont.
<p>Acceleration– and displacement–time histories at the top of the base-isolated structure and the shake table (PGA = 2.00 g).</p>
Full article ">Figure 24
<p>Acceleration– and displacement–time histories at the top of the base-isolated structure and the shake table (PGA = 2.50 g).</p>
Full article ">Figure 25
<p>Displacement–time histories at the top of the structures with and without base isolators (PGA = 0.50 g).</p>
Full article ">Figure 26
<p>Displacement–time histories at the top of the structures with and without base isolators (PGA = 0.75 g).</p>
Full article ">Figure 27
<p>Displacement–time histories at the top of the structures with and without base isolators (PGA = 1.00 g).</p>
Full article ">Figure 28
<p>Displacement–time histories at the top of the structures with and without base isolators (PGA = 1.50 g).</p>
Full article ">Figure 29
<p>Displacement–time histories at the top of the structures with and without base isolators (PGA = 2.00 g).</p>
Full article ">Figure 30
<p>Displacement–time histories at the top of the structures with and without base isolators (PGA = 2.50 g).</p>
Full article ">
11 pages, 1883 KiB  
Article
Comprehensive Analysis of Sulfated Flavonoids in Eclipta prostrata for Quality Evaluation
by Ryunosuke Sato, Yuto Nishidono and Ken Tanaka
Molecules 2024, 29(20), 4888; https://doi.org/10.3390/molecules29204888 (registering DOI) - 15 Oct 2024
Viewed by 203
Abstract
Eclipta prostrata (Asteraceae) is employed as a hemostatic agent in many traditional medicines, owing to its sulfated flavonoid content. In this study, we obtained crude drug samples from three provinces collected in different years and analyzed their sulfated flavonoid contents using liquid chromatography–mass [...] Read more.
Eclipta prostrata (Asteraceae) is employed as a hemostatic agent in many traditional medicines, owing to its sulfated flavonoid content. In this study, we obtained crude drug samples from three provinces collected in different years and analyzed their sulfated flavonoid contents using liquid chromatography–mass spectrometry (LC–MS) for quality evaluation. Because sulfated flavonoids are unstable and difficult to isolate from extracts, this study first synthesized a variety of sulfated flavonoids and accumulated spectral data in order to identify the compounds in E. prostrata. The LC–MS analysis of six crude drug samples revealed the presence of luteolin 7-sulfate, apigenin 7-sulfate, diosmetin 7-sulfate, and diosmetin 3′-sulfate. The samples without luteolin 3′-sulfate featured high apigenin 7-sulfate content. Although the samples were collected from the same locality, their compositions differed depending on the year of collection. Further, they were classified according to three patterns: (1) samples with luteolin 7-sulfate as the main component, (2) samples with apigenin 7-sulfate as the main component, and (3) samples with relatively high diosmetin sulfate content. Luteolin 7-sulfate typically exhibits relatively high erythrocyte aggregation efficiency and fibrinogen aggregation rate. These results demonstrate that the analysis of sulfated flavonoids is beneficial for the quality evaluation of E. prostrata for hemostatic applications. Full article
(This article belongs to the Special Issue Natural Bioactive Compounds from Traditional Asian Plants)
Show Figures

Figure 1

Figure 1
<p>Structures of sulfated flavonoids.</p>
Full article ">Figure 2
<p>LC–MS spectra of (<b>a</b>) luteolin 7-sulfate (<b>1</b>), (<b>b</b>) apigenin 7-sulfate (<b>4</b>), and (<b>c</b>) diosmetin 7-sulfate (<b>6</b>).</p>
Full article ">Figure 3
<p>High-performance liquid chromatogram of sulfated flavonoids. Peak detection was performed with ultraviolet irradiation at 330 nm. (<b>a</b>) Luteolin 7-sulfate (<b>1</b>), (<b>b</b>) luteolin 4′-sulfate (<b>3</b>), (<b>c</b>) apigenin 4′-sulfate (<b>5</b>), (<b>d</b>) luteolin 3′-sulfate (<b>2</b>), (<b>e</b>) diosmetin 3′-sulfate (<b>7</b>), (<b>f</b>) apigenin 7-sulfate (<b>4</b>), and (<b>g</b>) diosmetin 7-sulfate (<b>6</b>).</p>
Full article ">Figure 4
<p>Liquid chromatography–mass spectrometry mass chromatograms of the extracts of the <span class="html-italic">E. prostrata</span> specimens: monitored by (M–H)<sup>−</sup> ions of luteolin sulfate (<span class="html-italic">m</span>/<span class="html-italic">z</span> 364.9970), apigenin sulfate (<span class="html-italic">m</span>/<span class="html-italic">z</span> 349.0016) and diosmetin sulfate (<span class="html-italic">m</span>/<span class="html-italic">z</span> 379.0144).</p>
Full article ">Figure 5
<p>Radar diagram of the quantitative values shown in <a href="#molecules-29-04888-t003" class="html-table">Table 3</a>.</p>
Full article ">
17 pages, 3905 KiB  
Article
Oilseed Cakes: A Promising Source of Antioxidant, and Anti-Inflammatory Agents—Insights from Lactuca sativa
by Mayye Majed, Amal A. Galala, Mohamed M. Amer, Dirk Selmar and Sara Abouzeid
Int. J. Mol. Sci. 2024, 25(20), 11077; https://doi.org/10.3390/ijms252011077 (registering DOI) - 15 Oct 2024
Viewed by 259
Abstract
This study evaluated the antioxidant and antibacterial properties of methanolic extracts derived from oilseed cakes of Lactuca sativa (lettuce), Nigella sativa (black seed), Eruca sativa (rocket), and Linum usitatissimum (linseed). Lettuce methanolic extract showed the highest potential, so it was selected for further [...] Read more.
This study evaluated the antioxidant and antibacterial properties of methanolic extracts derived from oilseed cakes of Lactuca sativa (lettuce), Nigella sativa (black seed), Eruca sativa (rocket), and Linum usitatissimum (linseed). Lettuce methanolic extract showed the highest potential, so it was selected for further investigation. High-performance liquid chromatography (HPLC-DAD) analysis and bioassay-guided fractionation of lettuce seed cake extract led to the isolation of five compounds: 1,3-propanediol-2-amino-1-(3′,4′-methylenedioxyphenyl) (1), luteolin (2), luteolin-7-O-β-D-glucoside (3), apigenin-7-O-β-D-glucoside (4), and β-sitosterol 3-O-β-D-glucoside (5). Compound (1) was identified from Lactuca species for the first time, with high yield. The cytotoxic effects of the isolated compounds were tested on liver (HepG2) and breast (MCF-7) cancer cell lines, compared to normal cells (WI-38). Compounds (2), (3), and (4) exhibited strong activity in all assays, while compound (1) showed weak antioxidant, antimicrobial, and cytotoxic effects. The anti-inflammatory activity of lettuce seed cake extract and compound (1) was evaluated in vivo using a carrageenan-induced paw oedema model. Compound (1) and its combination with ibuprofen significantly reduced paw oedema, lowered inflammatory mediators (IL-1β, TNF-α, PGE2), and restored antioxidant enzyme activity. Additionally, compound (1) showed promising COX-1 and COX-2 inhibition in an in vitro enzymatic anti-inflammatory assay, with IC50 values of 17.31 ± 0.65 and 4.814 ± 0.24, respectively. Molecular docking revealed unique interactions of compound (1) with COX-1 and COX-2, suggesting the potential for targeted inhibition. These findings underscore the value of oilseed cakes as a source of bioactive compounds that merit further investigation. Full article
Show Figures

Figure 1

Figure 1
<p>IC<sub>50</sub> of different fractions of lettuce seedcake extract in ABTS assay using ascorbic acid as standard.</p>
Full article ">Figure 2
<p>HPLC of the major compounds determined in lettuce seed cake extract. Compounds were monitored using a photo diode array (PDA) detector at 280, 350 nm.</p>
Full article ">Figure 3
<p>Structures of the isolated compounds from <span class="html-italic">Lactuca sativa</span> seedcake active fractions: 1,3-propanediol-2-amino-1-(3′,4′-methylenedioxyphenyl) (<b>1</b>), luteolin (<b>2</b>), luteolin 7-O-<span class="html-italic">β</span>-D glucoside (<b>3</b>), apigenin 7-O-<span class="html-italic">β</span>-D glucoside (<b>4</b>), and <span class="html-italic">β</span>-sitosterol 3-O-<span class="html-italic">β</span>-D-glucoside (<b>5</b>).</p>
Full article ">Figure 4
<p>IC<sub>50</sub> of isolated compounds from lettuce seedcake in ABTS assay using ascorbic acid as standard.</p>
Full article ">Figure 5
<p>Microscopic pictures of H&amp;E-stained skin sections. Magnifications X: 40 bar 200 are represented in the first column, thin black arrows refer to dermal inflammation and X: 400 bar 50 are represented in the second column where thin black arrows indicate leukocytic cells infiltration in dermis.</p>
Full article ">Figure 6
<p>Effect of treatments on TNF-α (<b>A</b>), IL-1β (<b>B</b>), and PGE2 (<b>C</b>) in carrageenan-induced oedema in rat hind paws. Values represent mean ± SD for each group (<span class="html-italic">n</span> = 6). * <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.</p>
Full article ">Figure 7
<p>IC<sub>50</sub> of compound <b>1</b> and Ibuprofen standard for COX-1 and COX-2 inhibition assay.</p>
Full article ">Figure 8
<p>The 3D and 2D representations of compound <b>1</b> and ibuprofen interacting with the COX-1 and COX-2 enzymes are shown. The 2D diagrams illustrate color-coded interactions between the ligand and specific amino acid residues, while the 3D models display the ligand within each enzyme’s binding pocket, highlighting key structural features. In 3D model of protein (red: alpha helices; cyan: beta sheets; green: loops) complexed with drug (stick model).</p>
Full article ">
13 pages, 1020 KiB  
Article
A Comparison of DNA-Methylation during Protoplast Culture of Ponkan Mandarin (Citrus reticulata Blanco) and Tobacco (Nicotiana tabacum L.)
by Lun Wang, Jiaojiao Zhang and Xiaoyong Xu
Plants 2024, 13(20), 2878; https://doi.org/10.3390/plants13202878 (registering DOI) - 15 Oct 2024
Viewed by 299
Abstract
The epigenetic variation in protoplast regeneration is a topic that has attracted interest recently. To elucidate the role of DNA methylation in the regeneration of protoplasts from the ponkan (Citrus reticulata), this study employs the methylation-sensitive amplification polymorphism (MSAP) molecular marker [...] Read more.
The epigenetic variation in protoplast regeneration is a topic that has attracted interest recently. To elucidate the role of DNA methylation in the regeneration of protoplasts from the ponkan (Citrus reticulata), this study employs the methylation-sensitive amplification polymorphism (MSAP) molecular marker technique to analyze changes in DNA methylation levels and patterns during the isolation and culture of protoplasts from ponkan and tobacco. Additionally, differential DNA methylation fragments are cloned, sequenced, and subjected to bioinformatics analysis. The results reveal that, for non-regenerable ponkan mesophyll protoplasts, DNA methylation levels increase by 3.98% after isolation and then show a trend of initial decrease followed by an increase during culture. In contrast, for regenerable ponkan callus protoplasts and tobacco mesophyll protoplasts, DNA methylation levels decrease by 1.75% and 2.33%, respectively, after isolation. During culture, the DNA methylation levels of ponkan callus protoplasts first increase and then decrease, while those of tobacco mesophyll protoplasts show an opposite trend of initial decrease followed by an increase. Regarding DNA methylation patterns, ponkan mesophyll protoplasts exhibit primarily hypermethylation changes accompanied by a small amount of gene demethylation, whereas ponkan callus protoplasts are dominated by demethylation changes with some genes undergoing hypermethylation. The methylation exhibits dynamic changes in protoplast isolation regeneration. By recovering, cloning, sequencing, and performing BLASTn alignment analysis on specific methylation modification sites in the ponkan, 18 DNA sequences with high homology are identified which are found to be involved in various biological functions, thereby establishing a foundational basis for genetic editing in protoplasts. Full article
Show Figures

Figure 1

Figure 1
<p>Observation of freshly isolated and cultured protoplasts from citrus and tobacco under bright field. (<b>A</b>–<b>C</b>) Citrus mesophyll protoplasts after 0, 3 and 6 days of culture; (<b>D</b>–<b>F</b>) citrus callus protoplasts after 0, 4, 8 days of culture; (<b>G</b>–<b>I</b>) tobacco mesophyll protoplasts after 0, 1, 2 days of culture, The scale bars = 20 μm.</p>
Full article ">Figure 2
<p>Changes in DNA methylation patterns during protoplast isolation and culture. (<b>A</b>) Types of methylation pattern changes during protoplast isolation and culture, (<b>B</b>) MSAP profile of the primer EA11/HM + TAC, (<b>C</b>) primer EA05/HM + TAT MSAP atlas, (<b>D</b>) changes in DNA methylation patterns during the isolation and culture of ponkan mesophyll protoplasts, (<b>E</b>) changes in DNA methylation patterns during the isolation and culture of ponkan callus protoplasts, and (<b>F</b>) changes in DNA methylation patterns of tobacco protoplast isolation and culture.</p>
Full article ">
16 pages, 1699 KiB  
Article
Soil Bacteria from the Namib Desert: Insights into Plant Growth Promotion and Osmotolerance in a Hyper-Arid Environment
by Tiago Lopes, Jacinta Santos, Diana Matos, Carina Sá, Diogo Pina, Ricardo Pinto, Paulo Cardoso and Etelvina Figueira
Land 2024, 13(10), 1678; https://doi.org/10.3390/land13101678 (registering DOI) - 15 Oct 2024
Viewed by 343
Abstract
The Namib Desert is characterized by a number of abiotic stresses, including high temperature, high salinity, osmotic pressure, alkaline pH, and limited water availability. In such environments, dry soils typically exhibit a low water potential, scarce nutrients, and high concentrations of dissolved ions, [...] Read more.
The Namib Desert is characterized by a number of abiotic stresses, including high temperature, high salinity, osmotic pressure, alkaline pH, and limited water availability. In such environments, dry soils typically exhibit a low water potential, scarce nutrients, and high concentrations of dissolved ions, collectively creating a challenging habitat for microbial life. In this study, 89 bacterial isolates belonging to 20 genera were identified. Bacteria demonstrated significant osmotolerance, with some strains thriving at polyethylene glycol (PEG) concentrations exceeding 20%. Furthermore, these bacteria demonstrated halotolerance, high pH tolerance, and capacity to produce plant growth-promoting (PGP) traits under conditions of osmotic stress. Osmotolerant bacteria exhibited higher proficiency in siderophore production, potassium solubilization, and phosphorus solubilization, all of which are critical for supporting plant growth in nutrient-scarce and stressful environments, such as deserts. However, alginate production was higher in isolates that were less osmotolerant, indicating the potential for a compensatory mechanism in strains that were more sensitive. These findings highlight the complex strategies employed by desert bacteria to survive and support host plants in extreme environments. The present study not only enhances our understanding of microbial adaptations in arid ecosystems, but also provides important information for the development of potential applications for these bacteria in the reclamation of arid land and agricultural practices aimed at improving crop resilience to abiotic stress. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p><b>Bacterial diversity.</b> Circular chart showing the different bacterial genera identified after BOX-PCR and 16S rDNA gene isolated from three different host plants (<span class="html-italic">Tetraena simplex</span>, <span class="html-italic">Tetraena stapffii</span>, and <span class="html-italic">Stipagrostis</span> sp.) growing in the Namib Desert.</p>
Full article ">Figure 2
<p><b>Bacterial osmotolerance</b> (calculated by PEG concentration inhibiting 50% growth, IC50). Different levels of osmotolerance were identified: sensitive (IC50 &lt; 10% PEG); moderately tolerant (10 % PEG ≤ IC50 &lt; 15% PEG); tolerant (15% PEG ≤ IC50); and highly tolerant (IC50 ≥ 20% PEG).</p>
Full article ">Figure 3
<p><b>Bacterial tolerance to abiotic stress</b> grouped by osmotolerance levels (S—sensitive; MT—moderately tolerant; T—tolerant; HT—highly tolerant). For each parameter, the general responses (bar charts) and distributions (violin plots) are presented. (<b>A</b>,<b>B</b>): Halotolerance at 6% NaCl relative to the control (0% NaCl). (<b>C</b>,<b>D</b>): Tolerance at pH 4 (acidity) relative to the control (pH 7). (<b>E</b>,<b>F</b>): Tolerance to pH 10 (alkalinity) relative to the control (pH 7). Values represent the mean of at least three replicates + standard error. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) among the different osmotolerance levels.</p>
Full article ">Figure 4
<p><b>Plant Growth Promotion traits</b> grouped by osmotolerance levels (S—sensitive; MT—moderately tolerant; T—tolerant; HT—highly tolerant). For each parameter, the general response (bar charts), ratio of isolates with (color) and without (grey) ability (pie chart), and distribution (violin plots) are presented. (<b>A</b>,<b>B</b>): IAA production under osmotic stress (10% polyethylene glycol). (<b>C</b>,<b>D</b>): Alginate production under osmotic stress (10% polyethylene glycol). (<b>E</b>,<b>F</b>): Siderophore production. (<b>G</b>,<b>H</b>): Potassium solubilization. (<b>I</b>,<b>J</b>): Phosphate solubilization. Values are means of at least three replicates + standard error. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) among the different osmotolerance levels.</p>
Full article ">
18 pages, 5341 KiB  
Article
Prevalence and Diversity of Plant Parasitic Nematodes in Irish Peatlands
by Anusha Pulavarty, Tilman Klappauf, Ankit Singh, Patricia Molero Molina, Anique Godjo, Bastiaan Molleman, Douglas McMillan and Thomais Kakouli-Duarte
Diversity 2024, 16(10), 639; https://doi.org/10.3390/d16100639 (registering DOI) - 15 Oct 2024
Viewed by 274
Abstract
The prevalence of plant parasitic nematodes (PPN) in the Irish peatlands was investigated in five different peatland habitats—raised bog, cutover scrub/woodlands, fens and peat grasslands, which were further sub-categorised into fourteen different sub-habitats. Within the raised bog habitat were healthy bog hummock (HBH), [...] Read more.
The prevalence of plant parasitic nematodes (PPN) in the Irish peatlands was investigated in five different peatland habitats—raised bog, cutover scrub/woodlands, fens and peat grasslands, which were further sub-categorised into fourteen different sub-habitats. Within the raised bog habitat were healthy bog hummock (HBH), healthy bog lawn (HBL), degraded bog hummock (DBH) and degraded bog lawn (DBL) and the fen habitats were fen peat (FP) and rich fen peat (R-FP). Cutover scrub or woodland habitat included cutover scrub rewetted (C-RW), cutover scrub non-rewetted (C-NRW), woodlands rewetted (W-RW) and woodlands non-rewetted (W-NRW). Grassland included wasted peat (WP), rough grazing (RG-I) and improved fen peat grassland (IFPG-RW and IFPG-NRW). Soil samples from peatlands were all collected between July and December 2023 when the temperature ranged from 12 to 20 °C. One half of each sample was used for molecular nematode analysis and the other half for morphological identification of nematodes. For the morphological identification, a specific nematode extraction protocol was optimised for peatland soils, and the extracted nematodes were fixed onto slides to be studied under a high-power light microscope. Subsequently, the other part of the soil was processed to isolate total DNA, from which the 18S rRNA gene was sequenced for the identification of nematode taxa. The extracted DNA was also used for randomly amplified polymorphic DNA (RAPD) fingerprinting analysis to determine banding patterns that could classify different bog habitats based on PPN random primers. Compared to that in the climax habitats (HBH, HBL, DBH, DBL, FP, R-FP), PPN prevalence was recorded as being higher in grasslands (WP, RG-I, IFPG-RW and IFPG-NRW) and scrub/woodland ecosystems (C-RW, C-NRW, W-RW, W-NRW). The results indicate that nematode populations are different across the various bog habitats. Emerging and current quarantine PPN belonging to the families Pratylenchidae, Meloidogynidae, Anguinidae and Heteroderidae were noted to be above the threshold limits mentioned under EPPO guidelines, in grassland and wooded peatland habitats. Future actions for PPN management may need to be considered, along with the likelihood that these PPN might impact future paludiculture and other crops and trees growing in nearby agricultural lands. Full article
(This article belongs to the Section Biodiversity Conservation)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Approximate site location in the Republic of Ireland; (<b>b</b>) Bog sampling location and bog habitats in each location, (i) 53°01′14.2″ N and 7°57′15.5″ W, (ii) 53°05′14.01″ N and 7°87′69.96″ W, (iii) 53°06′08.4″ N and 7°80′08.4″ W; source Google Maps.</p>
Full article ">Figure 2
<p>RAPD profile of peat habitats: (<b>a</b>) Healthy bog lawn (HBH), (<b>b</b>) Rich Fen peat (R-FP) obtained with primers A5, A6, A7, A9, A10, A12, A13, A15, A16, A18, A19, A20, A22, A24. M = Molecular weight marker (Promega 1 Kb Ladder (G571A)).</p>
Full article ">Figure 3
<p>Dendrogram showing the proximity distance between various peatland habitats based on RAPD index data (constructed using IBM SPSS (version 29.0.1.0 (171)).</p>
Full article ">Figure 4
<p>Heat map showing the abundance of different nematode families detected in various peat habitats. The PPN families are highlighted using red ovals.</p>
Full article ">Figure 5
<p>Relative abundance of PPN (%) in different peatland habitats (molecular data). Values represented by similar letters are not significantly different from each other in terms of PPN % (<span class="html-italic">p</span> ≤ 0.05).</p>
Full article ">
Back to TopTop