Evidence map›Paper›PMID 27314840›Full record

ArticlePLoS computational biology2016

Pervasive Selection for Cooperative Cross-Feeding in Bacterial Communities.

Sebastian Germerodt, Katrin Bohl, Anja Lück, Samay Pande, Anja Schröter, Christoph Kaleta, Stefan Schuster, Christian Kost

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Review
  2. Review
  3. Neutral theory of cooperative dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  4. Review
  5. Article
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  7. Article
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  18. Minorities drive growth resumption in cross-feeding microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

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

8 authors.

Sebastian GermerodtDepartment of Bioinformatics, Friedrich Schiller University Jena, Germany.
Katrin BohlDepartment of Bioinformatics, Friedrich Schiller University Jena, Germany.
Anja LückDepartment of Bioinformatics, Friedrich Schiller University Jena, Germany.ORCID 0000-0001-8682-8308
Samay PandeExperimental Ecology and Evolution Research Group, Department of Bioorganic Chemistry, Max Planck Institute for Chemical Ecology, Jena, Germany.
Anja SchröterDepartment of Bioinformatics, Friedrich Schiller University Jena, Germany.
Christoph KaletaResearch Group Theoretical Systems Biology, Friedrich Schiller University Jena, Germany.
Stefan SchusterDepartment of Bioinformatics, Friedrich Schiller University Jena, Germany.ORCID 0000-0003-0470-9802
Christian KostExperimental Ecology and Evolution Research Group, Department of Bioorganic Chemistry, Max Planck Institute for Chemical Ecology, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial communities are taxonomically highly diverse, yet the mechanisms that maintain this diversity remain poorly understood. We hypothesized that an obligate and mutual exchange of metabolites, as is very common among bacterial cells, could stabilize different genotypes within microbial communities. To test this, we developed a cellular automaton to model interactions among six empirically characterized genotypes that differ in their ability and propensity to produce amino acids. By systematically varying intrinsic (i.e. benefit-to-cost ratio) and extrinsic parameters (i.e. metabolite diffusion level, environmental amino acid availability), we show that obligate cross-feeding of essential metabolites is selected for under a broad range of conditions. In spatially structured environments, positive assortment among cross-feeders resulted in the formation of cooperative clusters, which limited exploitation by non-producing auxotrophs, yet allowed them to persist at the clusters' periphery. Strikingly, cross-feeding helped to maintain genotypic diversity within populations, while amino acid supplementation to the environment decoupled obligate interactions and favored auxotrophic cells that saved amino acid production costs over metabolically autonomous prototrophs. Together, our results suggest that spatially structured environments and limited nutrient availabilities should facilitate the evolution of metabolic interactions, which can help to maintain genotypic diversity within natural microbial populations.

Indexed as

Amino AcidsBacteriaComputational BiologyComputer SimulationGenotypeMicrobial ConsortiaMicrobial InteractionsAmino Acids

Identifiers

PMID27314840
PMCPMC4912067

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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.