Evidence map›Paper›PMID 41408707›Full record

ArticleThe ISME journal2026

Everything is everywhere but Escherichia coli adapts to different niches.

William Monteith, Made A Krisna, Biel Garcias, Elizabeth A Cummins, David J Kelly, Aidan J Taylor, Samuel K Sheppard

Abstract read
In one paragraph

Article in The ISME journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. AcceleratingProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Detection of an ExPEC-likeBiotech (Basel (Switzerland)) · 2026
    Article
  3. Article
  4. Strain-level analyses of public sequencing data to characterizeOne health (Amsterdam, Netherlands) · 2026
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

William MonteithThe Milner Centre of Evolution, Department of Life Sciences, University of Bath, Claverton Down, Bath BA2 7AZ, United Kingdom.
Made A KrisnaIneos Oxford Institute, Department of Biology, Life and Mind Building, University of Oxford, South Parks Road, Oxford OX1 3EL, United Kingdom.
Biel GarciasDepartment of Animal Health and Anatomy, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain and Department of Microbiology and Immunology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg 41390, Sweden.
Elizabeth A CumminsIneos Oxford Institute, Department of Biology, Life and Mind Building, University of Oxford, South Parks Road, Oxford OX1 3EL, United Kingdom.
David J KellySchool of Biosciences, University of Sheffield, Sheffield S10 2TN, United Kingdom.
Aidan J TaylorSchool of Biosciences, University of Reading, Reading RG6 6UR, United Kingdom.
Samuel K SheppardIneos Oxford Institute, Department of Biology, Life and Mind Building, University of Oxford, South Parks Road, Oxford OX1 3EL, United Kingdom.ORCID 0000-0001-6901-3203

Funding

Departament de Recerca i Universitats de la Generalitat de Catalunya FI-SDUR 2020UKRI and Wellcome Trust 088786/C/09/ZUKRI and Wellcome Trust 310 742/Z/24/ZUKRI and Wellcome Trust MR/L015080/1UKRI and Wellcome Trust MR/S009264/1UKRI and Wellcome Trust MR/T030062/1UKRI and Wellcome Trust MR/V001213/1Wellcome Trust
6 · The paper itself

Abstract

Pathogens that are harmless in one environment can cause a serious disease in another. Among host-associated bacteria, transition between hosts can have serious consequences for animal and human health. However, much remains unknown about how adaptation shapes bacterial distribution in the wild. Here, investigating the ecological genomics of Escherichia coli from diverse hosts and environments, we address the idea that bacteria disperse freely, and challenge the "everything is everywhere" paradigm. Using comparative genomics and parallelised high throughout pangenome-wide association studies (900 experiments) we investigate lineage distribution and identify adaptive genomic signatures associated with host species, physiology and ecology. Our findings provide insights into bacterial niche adaptation, emphasize the impact of agriculture on microbial evolution, and inform One Health frameworks by linking genomics, host ecology, and the emergence of antimicrobial resistance.

Indexed as

Adaptation, PhysiologicalEscherichia coliAnimalsGenome, BacterialGenomicsHumansE. coli population genomicsgenome-wide association study (GWAS)host adaptation

Identifiers

PMID41408707
PMCPMC12815263

What OpenQuestion holds

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Registered trials

None linked

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.