and evolution experiments on revealed several principles of bacterial adaptation. However, few data are available in the literature describing the behavior of in its natural environment. We attempted here to study the evolution in the human gut of a commensal dominant clone, ED1a belonging to the B2 phylogroup, through a longitudinal genomic study. We sequenced 24 isolates sampled at three different time points within a healthy individual over almost a year. We computed a mutation rate of 6.90 × 10 mutations per base per year of the chromosome for ED1a in healthy human gut. We observed very limited genomic diversity and could not detect any evidence of selection, in contrast to what is observed in experimental evolution over a similar length of time. We therefore suggest that ED1a, being well adapted to the healthy human gut, evolves mostly neutrally with a low effective population size ( of ≈500 to 1,700). In this study, we follow the genomic fate of a dominant clone of in the human gut of a healthy individual over about a year. We could compute a low annual mutation rate that supports low diversity, and we could not retrieve any clear signature of selection. These observations support a neutral evolution of in the human gut, compatible with a very limited effective population size that deviates drastically with the observations made previously in experimental evolution.
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http://dx.doi.org/10.1128/AEM.02377-17 | DOI Listing |
Microbiol Spectr
January 2025
Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
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View Article and Find Full Text PDFJ Am Coll Surg
January 2025
Department of Surgery, University of Kentucky Medical Center, Lexington, KY.
Background: Colon cancer is a leading cause of mortality in Appalachian Kentucky. Studies suggest that the microbiome may influence cancer outcomes. We investigate differential gene expression, the tumor microbiome, and the association between the two as potential drivers of disparities in colon cancer outcomes.
View Article and Find Full Text PDFUnlabelled: Metatranscriptome (MetaT) sequencing is a critical tool for profiling the dynamic metabolic functions of microbiomes. In addition to taxonomic information, MetaT also provides real-time gene expression data of both host and microbial populations, thus permitting authentic quantification of the functional (enzymatic) output of the microbiome and its host. The main challenge to effective and accurate MetaT analysis is the removal of highly abundant rRNA transcripts from these complex mixtures of microbes, which can number in the thousands of individual species.
View Article and Find Full Text PDFThrough biochemical transformation of host-derived bile acids (BAs), gut bacteria mediate host-microbe crosstalk and sit at the interface of nutrition, the microbiome, and disease. BAs play a crucial role in human health by facilitating the absorption of dietary lipophilic nutrients, interacting with hormone receptors to regulate host physiology, and shaping gut microbiota composition through antimicrobial activity. Bile acid deconjugation by bacterial bile salt hydrolase (BSH) has long been recognized as the first necessary BA modification required before further transformations can occur.
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