Evidence map›Paper›PMID 36587027›Full record

ArticleScientific reports2022

Higher-order interactions shape microbial interactions as microbial community complexity increases.

Manon A Morin, Anneliese J Morrison, Michael J Harms, Rachel J Dutton

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  10. Competition for shared resources increases dependence on initial population size during coalescence of gut microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Microbial community interactions on a chip.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Sparsity of higher-order landscape interactions enables learning and prediction for microbiomes.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

4 authors.

Manon A MorinSchool of Biological Science, University of California San Diego, San Diego, 92093, USA. manon.morin@ymail.com.
Anneliese J MorrisonDepartment of Chemistry and Biochemistry, University of Oregon, Eugene, OR, USA.
Michael J HarmsDepartment of Chemistry and Biochemistry, University of Oregon, Eugene, OR, USA.
Rachel J DuttonSchool of Biological Science, University of California San Diego, San Diego, 92093, USA. rjdutton@ucsd.edu.

Funding

Graduate Training in Genetics Administrative Supplement - Career Curriculum DevelopmentT32GM007413 · NIGMS · UNIVERSITY OF OREGON · PI GUILLEMIN, KAREN J · 1985 to 2022
$7.8M
Molecular mechanisms that shape microbial communitiesDP2AT010401 · NCCIH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DUTTON, RACHEL J. · 2018 to 2018
$2.4M
NCCIH NIH HHS DP2 AT010401NIGMS NIH HHS T32 GM007413
6 · The paper itself

Abstract

Non-pairwise interactions, or higher-order interactions (HOIs), in microbial communities have been described as significant drivers of emergent features in microbiomes. Yet, the re-organization of microbial interactions between pairwise cultures and larger communities remains largely unexplored from a molecular perspective but is central to our understanding and further manipulation of microbial communities. Here, we used a bottom-up approach to investigate microbial interaction mechanisms from pairwise cultures up to 4-species communities from a simple microbiome (Hafnia alvei, Geotrichum candidum, Pencillium camemberti and Escherichia coli). Specifically, we characterized the interaction landscape for each species combination involving E. coli by identifying E. coli's interaction-associated mutants using an RB-TnSeq-based interaction assay. We observed a deep reorganization of the interaction-associated mutants, with very few 2-species interactions conserved all the way up to a 4-species community and the emergence of multiple HOIs. We further used a quantitative genetics strategy to decipher how 2-species interactions were quantitatively conserved in higher community compositions. Epistasis-based analysis revealed that, of the interactions that are conserved at all levels of complexity, 82% follow an additive pattern. Altogether, we demonstrate the complex architecture of microbial interactions even within a simple microbiome, and provide a mechanistic and molecular explanation of HOIs.

Indexed as

Hafnia alveiMicrobiotaEscherichia coliMicrobial Interactions

Identifiers

PMID36587027
PMCPMC9805437

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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.