Literature DB >> 34473943

Quantifying rapid bacterial evolution and transmission within the mouse intestine.

Kimberly S Vasquez1, Lisa Willis2, Nate J Cira2, Katharine M Ng2, Miguel F Pedro3, Andrés Aranda-Díaz2, Manohary Rajendram2, Feiqiao Brian Yu4, Steven K Higginbottom1, Norma Neff4, Gavin Sherlock5, Karina B Xavier3, Stephen R Quake6, Justin L Sonnenburg7, Benjamin H Good8, Kerwyn Casey Huang9.   

Abstract

Due to limitations on high-resolution strain tracking, selection dynamics during gut microbiota colonization and transmission between hosts remain mostly mysterious. Here, we introduced hundreds of barcoded Escherichia coli strains into germ-free mice and quantified strain-level dynamics and metagenomic changes. Mutations in genes involved in motility and metabolite utilization are reproducibly selected within days. Even with rapid selection, coprophagy enforced similar barcode distributions across co-housed mice. Whole-genome sequencing of hundreds of isolates revealed linked alleles that demonstrate between-host transmission. A population-genetics model predicts substantial fitness advantages for certain mutants and that migration accounted for ∼10% of the resident microbiota each day. Treatment with ciprofloxacin suggests interplay between selection and transmission. While initial colonization was mostly uniform, in two mice a bottleneck reduced diversity and selected for ciprofloxacin resistance in the absence of drug. These findings highlight the interplay between environmental transmission and rapid, deterministic selection during evolution of the intestinal microbiota.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Escherichia coli; ciprofloxacin; cross-housing; gyrase; metabolism; metagenomics; motility; parallel evolution; population-genetics modeling; transmission

Mesh:

Substances:

Year:  2021        PMID: 34473943      PMCID: PMC8445907          DOI: 10.1016/j.chom.2021.08.003

Source DB:  PubMed          Journal:  Cell Host Microbe        ISSN: 1931-3128            Impact factor:   31.316


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