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Extraintestinal pathogenic (ExPEC) is the leading cause in humans of urinary tract infection and bacteremia. The previously published web tool VirulenceFinder (http://cge.cbs.dtu.dk/services/VirulenceFinder/) uses whole-genome sequencing (WGS) data for characterization of isolates and enables researchers and clinical health personnel to quickly extract and interpret virulence-relevant information from WGS data. In this study, 38 ExPEC-associated virulence genes were added to the existing VirulenceFinder database. In total, 14,441 alleles were downloaded. A total of 1,890 distinct alleles were added to the database after removal of redundant sequences and analysis of the remaining alleles for open reading frames (ORFs). The database now contains 139 genes-of which 44 are related to ExPEC-and 2,826 corresponding alleles. Construction of the database included validation against 27 primer pairs from previous studies, a search for serotype-specific P fimbriae alleles, and a BLASTn confirmation of seven genes (, , , , , , and ) not covered by the primers. The augmented database was evaluated using (i) a panel of nine control strains and (ii) 288 human-source strains classified by PCR as ExPEC and non-ExPEC. We observed very high concordance (average, 93.4%) between PCR and WGS findings, but WGS identified more alleles. In conclusion, the addition of 38 ExPEC-associated genes and the associated alleles to the VirulenceFinder database allows for a more complete characterization of isolates based on WGS data, which has become increasingly important considering the plasticity of the genome.
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http://dx.doi.org/10.1128/JCM.01269-20 | DOI Listing |
Theor Appl Genet
September 2025
Institute for Breeding Research on Agricultural Crops, Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Sanitz, 18190, Germany.
Low-cost and high-throughput RNA sequencing data for barley RILs achieved GP performance comparable to or better than traditional SNP array datasets when combined with parental whole-genome sequencing SNP data. The field of genomic selection (GS) is advancing rapidly on many fronts including the utilization of multi-omics datasets with the goal of increasing prediction ability and becoming an integral part of an increasing number of breeding programs ensuring future food security. In this study, we used RNA sequencing (RNA-Seq) data to perform genomic prediction (GP) on three related barley RIL populations.
View Article and Find Full Text PDFMar Biotechnol (NY)
September 2025
Yazhou Bay Innovation Institute, Hainan Tropical Ocean University, Sanya, China.
Epinephelus tukula is an economically important aquaculture animal, and a major parent in grouper crossbreeding. To better preserve and exploit E. tukula germplasm resources, a core collection (containing 34 individuals derived from 10 genetic groups) was first constructed based on phenotypic growth traits and whole-genome resequencing (WGS) data.
View Article and Find Full Text PDFMicrob Genom
September 2025
Regional Innovative Public Health Laboratory, Rush University Medical Center, Chicago, IL 60612, USA.
emerged in Chicago, IL, USA, in 2016 and has since become endemic. We used whole-genome sequencing (WGS) of 494 isolates, epidemiologic metadata and patient transfer data to describe the transmission of among Chicago healthcare facilities between 2016 and 2021. In total, 99% of isolates formed a single clade IV phylogenetic lineage, suggesting a single introduction.
View Article and Find Full Text PDFJ Hum Genet
September 2025
Center for Medical Genetics, Keio University School of Medicine, Tokyo, Japan.
In standard short-read whole-exome sequencing (WES), capture probes are typically designed to target the protein-coding regions (CDS), and regions outside the exons-except for adjacent intronic sequences-are rarely sequenced. Although the majority of known pathogenic variants reside within the CDS as nonsynonymous variants, some disease-causing variants are located in regions that are difficult to detect by WES alone, such as deep intronic variants and structural variants, often requiring whole-genome sequencing (WGS) for detection. Moreover, WES has limitations in reliably identifying pathogenic variants within mitochondrial DNA or repetitive regions.
View Article and Find Full Text PDFAdv Sci (Weinh)
September 2025
Key Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Maintaining cellular ploidy is critical for normal physiological processes, although gains in ploidy are frequently observed during development, tissue regeneration, and metabolism, and potentially contribute to aneuploidy, thereby promoting tumor evolution. Although numerous computational tools have been developed to estimate cellular ploidy from whole-genome sequencing (WGS) data at bulk or single-cell resolution, to the knowledge, no systematic comparison of their performance has been conducted. Here, a benchmarking study is presented of 11 methods for bulk WGS and 8 methods for single-cell WGS data, utilizing both experimental and simulated datasets derived from diploid cells mixed with aneuploid or polyploid cells.
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