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Candida glabrata is the second most common etiological cause of worldwide systemic candidiasis in adult patients. Genome analysis of 68 isolates from 8 hospitals across Scotland, together with 83 global isolates, revealed insights into the population genetics and evolution of C. glabrata. Clinical isolates of C. glabrata from across Scotland are highly genetically diverse, including at least 19 separate sequence types that have been recovered previously in globally diverse locations, and 1 newly discovered sequence type. Several sequence types had evidence for ancestral recombination, suggesting transmission between distinct geographical regions has coincided with genetic exchange arising in new clades. Three isolates were missing MATα1, potentially representing a second mating type. Signatures of positive selection were identified in every sequence type including enrichment for epithelial adhesins thought to facilitate fungal adhesin to human epithelial cells. In patent microevolution was identified from 7 sets of recurrent cases of candidiasis, revealing an enrichment for nonsynonymous and frameshift indels in cell surface proteins. Microevolution within patients also affected epithelial adhesins genes, and several genes involved in drug resistance including the ergosterol synthesis gene ERG4 and the echinocandin target FKS1/2, the latter coinciding with a marked drop in fluconazole minimum inhibitory concentration. In addition to nuclear genome diversity, the C. glabrata mitochondrial genome was particularly diverse, with reduced conserved sequence and conserved protein-encoding genes in all nonreference ST15 isolates. Together, this study highlights the genetic diversity within the C. glabrata population that may impact virulence and drug resistance, and 2 major mechanisms generating this diversity: microevolution and genetic exchange/recombination.
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http://dx.doi.org/10.1093/genetics/iyac031 | DOI Listing |
J Appl Microbiol
September 2025
Mahatma Gandhi Medical Advanced Research Institute (MGMARI), Sri Balaji Vidyapeeth (Deemed-to-be-University), Pillaiyarkuppam, Pondicherry - 607 402, India.
Aim: To investigate the phenotypic and genomic features of three multidrug-resistant (MDR) clinical mucoid and non-mucoid uropathogenic Escherichia coli (UPEC) strains to understand their antimicrobial resistance, biofilm formation, and virulence in urinary tract infections (UTIs).
Methods And Results: The UPEC strains A5, A10, and A15 were isolated from two UTI patients. Phenotypic assays included colony morphology, antibiotic susceptibility, motility, and biofilm formation.
Appl Environ Microbiol
September 2025
Department of Microbiology, Faculty of Science, University of Manitoba, Winnipeg, Manitoba, Canada.
Unlabelled: Although wastewater treatment plants harbor many pathogens, traditional methods that monitor the microbial quality of surface water and wastewater have not changed since the early 1900s and often disregard the presence of other types of significant waterborne pathogens such as viruses. We used metagenomics and quantitative PCR to assess the taxonomy, functional profiling, and seasonal patterns of DNA and RNA viruses, including the virome distribution in aquatic environments receiving wastewater discharges. Environmental water samples were collected at 11 locations in Winnipeg, Manitoba, along the Red and Assiniboine rivers during the Spring, Summer, and Fall 2021.
View Article and Find Full Text PDFBrief Bioinform
August 2025
Department of Respiratory Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, No. 157, Xiwu Road, Xincheng District, Xi'an 710004, China.
Accurate tumor mutation burden (TMB) quantification is critical for immunotherapy stratification, yet remains challenging due to variability across sequencing platforms, tumor heterogeneity, and variant calling pipelines. Here, we introduce TMBquant, an explainable AI-powered caller designed to optimize TMB estimation through dynamic feature selection, ensemble learning, and automated strategy adaptation. Built upon the H2O AutoML framework, TMBquant integrates variant features, minimizes classification errors, and enhances both accuracy and stability across diverse datasets.
View Article and Find Full Text PDFBrief Funct Genomics
January 2025
School of Mathematics and Statistics, Henan University of Science and Technology, No. 263 Kaiyuan Avenue, Luolong District, Luoyang, Henan 471000, China.
Background: Comorbidities and genetic correlations between gastrointestinal tract diseases and psychiatric disorders have been widely reported, but the underlying intrinsic link between Alzheimer's disease (AD) and inflammatory bowel disease (IBD) is not adequately understood.
Methods: To identify pathogenic cell types of AD and IBD and explore their shared genetic architecture, we developed Pathogenic Cell types and shared Genetic Loci (PCGL) framework, which studied AD and IBD and its two subtypes of ulcerative colitis (UC) and Crohn's disease (CD).
Results: We found that monocytes and CD8 T cells were the enriched pathogenic cell types of AD and IBDs, respectively.
J Pharm Anal
August 2025
College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
P-glycoprotein (P-gp) is a transmembrane protein widely involved in the absorption, distribution, metabolism, excretion, and toxicity (ADMET) of drugs within the human body. Accurate prediction of P-gp inhibitors and substrates is crucial for drug discovery and toxicological assessment. However, existing models rely on limited molecular information, leading to suboptimal model performance for predicting P-gp inhibitors and substrates.
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