Evidence map›Paper›PMID 38977908›Full record

ArticleNature microbiology2024

Environmentally dependent interactions shape patterns in gene content across natural microbiomes.

Kyle Crocker, Kiseok Keith Lee, Milena Chakraverti-Wuerthwein, Zeqian Li, Mikhail Tikhonov, Madhav Mani, Karna Gowda, Seppe Kuehn

Erratum issuedAbstract read
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. The ecological context of enzymatic variation.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Minimizing co-growth as a broad predictor of community robustness.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Learning functional groups in complex microbiomes.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Dynamic coexistence driven by physiological transitions in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Kyle CrockerDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0003-0531-1521
Kiseok Keith LeeDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-3298-7116
Milena Chakraverti-WuerthweinCenter for the Physics of Evolving Systems, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-4162-3437
Zeqian LiDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-0884-8028
Mikhail TikhonovDepartment of Physics, Washington University in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-9558-1121
Madhav ManiDepartment of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL, USA.
Karna GowdaDepartment of Microbiology, The Ohio State University, Columbus, OH, USA. karna.gowda@gmail.com.ORCID http://orcid.org/0000-0001-6812-4745
Seppe KuehnDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL, USA. seppe.kuehn@gmail.com.ORCID http://orcid.org/0000-0002-4130-6845

Funding

Environmental modulation of metabolic function in microbial communitiesR01GM151538 · NIGMS · UNIVERSITY OF CHICAGO · PI Seppe Kuehn · 2023 to 2026
$1.5M
James S. McDonnell Foundation (McDonnell Foundation) 220020499National Science Foundation (NSF) DGE 174604National Science Foundation (NSF) EF 2025293National Science Foundation (NSF) EF 2025521NIGMS NIH HHS R01 GM151538U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM151538
6 · The paper itself

Abstract

Sequencing surveys of microbial communities in hosts, oceans and soils have revealed ubiquitous patterns linking community composition to environmental conditions. While metabolic capabilities restrict the environments suitable for growth, the influence of ecological interactions on patterns observed in natural microbiomes remains uncertain. Here we use denitrification as a model system to demonstrate how metagenomic patterns in soil microbiomes can emerge from pH-dependent interactions. In an analysis of a global soil sequencing survey, we find that the abundances of two genotypes trade off with pH; nar gene abundances increase while nap abundances decrease with declining pH. We then show that in acidic conditions strains possessing nar fail to grow in isolation but are enriched in the community due to an ecological interaction with nap genotypes. Our study provides a road map for dissecting how associations between environmental variables and gene abundances arise from environmentally modulated community interactions.

Indexed as

BacteriaMicrobiotaSoil MicrobiologyDenitrificationGenotypeHydrogen-Ion ConcentrationMetagenomicsSoilSoil

Identifiers

PMID38977908
PMCPMC11386527

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Registered trials

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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.