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The pangenome contains all genes encoded by a species, with the core genome present in all strains and the accessory genome in only a subset. Coincident gene relationships are expected within the accessory genome, where the presence or absence of one gene is influenced by the presence or absence of another. Here, we analysed the accessory genome of an pangenome consisting of 400 genomes from 20 sequence types to identify genes that display significant co-occurrence or avoidance patterns with one another. We present a complex network of genes that are either found together or that avoid one another more often than would be expected by chance, and show that these relationships vary by lineage. We demonstrate that genes co-occur by function, and that several highly connected gene relationships are linked to mobile genetic elements. We find that genes are more likely to co-occur with, rather than avoid, another gene in the accessory genome. This work furthers our understanding of the dynamic nature of prokaryote pangenomes and implicates both function and mobility as drivers of gene relationships.
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http://dx.doi.org/10.1099/mgen.0.000650 | DOI Listing |
Microbiol Spectr
September 2025
Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.
is a commensal bacterium that colonizes the gut of humans and animals and is a major opportunistic pathogen, known for causing multidrug-resistant healthcare-associated infections (HAIs). Its ability to thrive in diverse environments and disseminate antimicrobial resistance genes (ARGs) across ecological niches highlights the importance of understanding its ecological, evolutionary, and epidemiological dynamics. The CRISPR2 locus has been used as a valuable marker for assessing clonality and phylogenetic relationships in .
View Article and Find Full Text PDFElife
September 2025
Department of Biosciences, Nottingham Trent University, Nottingham, United Kingdom.
The complex (MTBC) is a group of bacteria causing tuberculosis (TB) in humans and animals. Understanding MTBC genetic diversity is crucial for insights into its adaptation and traits related to survival, virulence, and antibiotic resistance. While it is known that within-MTBC diversity is characterised by large deletions found only in certain lineages (regions of difference [RDs]), a comprehensive pangenomic analysis incorporating both coding and non-coding regions remains unexplored.
View Article and Find Full Text PDFAppl Environ Microbiol
September 2025
Department of Biological Sciences, University of Maryland - Baltimore County, Baltimore, Maryland, USA.
Unlabelled: Microbial deconstruction of plant polysaccharides is important for environmental nutrient cycling, and bacteria proficient at this process have extensive suites of polysaccharide-specific enzymes. In the gram-negative saprophyte , genome annotation suggests that 17 genes are predicted to encode Carbohydrate-Active enZymes (CAZymes) with roles in cellulose degradation; however, previous work suggested that only a subset of these genes is essential. Building upon that work, here, we identify the required and minimally sufficient set of enzymes for complete degradation of cellulose using a combination of transcriptomics, gene deletion analysis, heterologous expression studies, and metabolite analysis.
View Article and Find Full Text PDFPhilos Trans R Soc Lond B Biol Sci
September 2025
Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, Tübingen, Baden-Württemberg, Germany.
Phages infect bacteria and have recently re-emerged as a promising strategy to combat bacterial infections. However, there is a lack of methods to predict whether and why a particular phage can or cannot infect a bacterial strain based on their genome sequences. Understanding the complex interactions between phages and their bacterial hosts is thus of considerable interest.
View Article and Find Full Text PDFFront Cell Infect Microbiol
September 2025
Department of Respiratory Diseases, The Eighth Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China.
Objective: To identify genes related to eravacycline resistance in () and to provide a theoretical basis for the study of eravacycline resistance mechanisms in and the development of new antibiotics.
Methods: The study employed an integrated omics approach: (1) antimicrobial susceptibility profiling via broth microdilution to determine baseline MICs for eravacycline and comparator drugs; (2) Induction of resistance in clinical isolates (WJ_4, WJ_14, WJ_18) with low eravacycline MICs through serial passage in escalating drug concentrations; (3) Transcriptome sequencing (RNA-seq) and whole-genome sequencing (WGS) of -induced resistant strains (WJ_4a, WJ_14a, WJ_18a) and a clinical high-MIC isolate (WJ_97); (4) Bioinformatics analyses, including differential gene expression screening (with |log2(fold change)| > 2 and FDR-adjusted p < 0.05), SNP detection via GATK, and copy number variation (CNV) quantification using CCNE-acc to identify and compare resistance-related genetic alterations.