Evidence map›Paper›PMID 41917834›Full record

ArticleBMC microbiology2026

Genomic diversification, adaptive convergence, and regulatory rewiring in aging Escherichia coli colonies.

Claude Saint-Ruf, Adrien Launay, Olivier Tenaillon, Ivan Matic

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Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Claude Saint-RufUniversité Paris Cité, Inserm U1016, CNRS UMR 8104, Institut Cochin, Paris, F-75014, France. claude.saint-ruf@inserm.fr.
Adrien LaunayEndogenomiks S.A. de C.V., Guadalajara, Mexico.
Olivier TenaillonUniversité Paris Cité, Inserm U1016, CNRS UMR 8104, Institut Cochin, Paris, F-75014, France.
Ivan MaticUniversité Paris Cité, Inserm U1016, CNRS UMR 8104, Institut Cochin, Paris, F-75014, France.

Funding

French Agence Nationale de la Recherche (ANR) DREAM (ANR-20-PAMR-0002) and EcoRecEp (ANR-23-CE35-0006)French Agence Nationale de la Recherche (ANR) LST (ANR-21-CE12-006-01), DREAM (ANR-20-PAMR-0002), and IMfdmut (ANR-24-CE12-7386-01),Initiative d'Excellence, which is part of the "France 2030" investment program launched by the French government and implemented by Université Paris Cité IdEx ANR-18-IDEX-0001, project MICROBEX
6 · The paper itself

Abstract

backgroundBacterial colonies are dynamic evolutionary microenvironments where spatial heterogeneity and nutrient gradients generate diverse ecological niches. Understanding how such structured environments drive genetic and functional diversification, including the emergence of clinically relevant traits such as antibiotic resistance, remains a major challenge.

methodsTo dissect adaptive strategies in structured populations, we performed whole-genome sequencing on 24 Escherichia coli isolates recovered from a three-week-old colony. Transcriptomic profiling was conducted on two representative mutants, and targeted competition assays were used to assess fitness relative to the parental strain.

resultsGenome sequencing uncovered extensive evolutionary diversification, with 34 distinct mutations, mostly insertion-sequence events, affecting transcriptional, stress-response, metabolic, and envelope regulators. Strikingly, half of all isolates carried mutations in the yobF-cspC operon, identifying it as a major adaptive hotspot in structured populations. Transcriptomic analyses revealed a broad regulatory shift in yobF-cspC mutants, with substantial activation of central metabolism and biosynthesis coupled to repression of acid resistance and stress pathways. Functionally, deletion of cspC alone conferred a robust σS-independent fitness advantage and fully restored competitiveness in an rpoS-inactivated background in aging colonies. Beyond this dominant adaptive trajectory, genome analysis revealed isolates carrying mutations that confer gain-of-function phenotypes, including β-lactam and rifamycin resistance, despite the absence of antibiotic pressure, highlighting aging colonies as potential reservoirs of clinically relevant diversity.

conclusionsOur results suggest that aging bacterial colonies can serve as incubators of evolutionary innovation, simultaneously generating diverse functional variants while selecting for metabolic specialization. Together, these findings show how spatial structure and nutrient recycling shape bacterial adaptation and diversification, providing a powerful and tractable model to investigate evolutionary processes in natural and pathogenic communities.

Indexed as

Escherichia coliAdaptation, PhysiologicalEscherichia coli ProteinsEvolution, MolecularGene Expression ProfilingGene Expression Regulation, BacterialGenetic VariationGenome, BacterialMutationOperonWhole Genome SequencingEscherichia coli ProteinsAdaptive evolutioncspC-yobF operonEscherichia coliGenomic diversificationNutrient limitationRegulatory rewiringStructured microbial populations

Identifiers

PMID41917834
PMCPMC13162491

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.