Evidence map›Paper›PMID 28036324›Full record

ArticlePLoS computational biology2016

Stability of Cross-Feeding Polymorphisms in Microbial Communities.

Ivana Gudelj, Margie Kinnersley, Peter Rashkov, Karen Schmidt, Frank Rosenzweig

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 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. Article
  3. Article
  4. Extracellular Metabolism Sets the Table for Microbial Cross-Feeding.Microbiology and molecular biology reviews : MMBR · 2021
    Review
  5. Article
  6. Metabolic modelling approaches for describing and engineering microbial communities.Computational and structural biotechnology journal · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Fitness and Productivity Increase with Ecotypic Diversity amongApplied and environmental microbiology · 2020
    Article
  12. Article
  13. Review
  14. Article
  15. A coexistence theory in microbial communities.Royal Society open science · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. 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

5 authors.

Ivana GudeljBiosciences, University of Exeter, Exeter, United Kingdom.ORCID 0000-0003-3450-6854
Margie KinnersleyDivision of Biological Sciences, University of Montana, Missoula, Montana, United States of America.
Peter RashkovBiosciences, University of Exeter, Exeter, United Kingdom.
Karen SchmidtDivision of Biological Sciences, University of Montana, Missoula, Montana, United States of America.
Frank RosenzweigDivision of Biological Sciences, University of Montana, Missoula, Montana, United States of America.

Funding

Molecular Characterization of Adaptive EvolutionR01HG003328 · NHGRI · STANFORD UNIVERSITY · PI SHERLOCK, GAVIN J · 2005 to 2015
$4.1M
Biotechnology and Biological Sciences Research Council BB/J010340/1NHGRI NIH HHS R01 HG003328
6 · The paper itself

Abstract

Cross-feeding, a relationship wherein one organism consumes metabolites excreted by another, is a ubiquitous feature of natural and clinically-relevant microbial communities and could be a key factor promoting diversity in extreme and/or nutrient-poor environments. However, it remains unclear how readily cross-feeding interactions form, and therefore our ability to predict their emergence is limited. In this paper we developed a mathematical model parameterized using data from the biochemistry and ecology of an E. coli cross-feeding laboratory system. The model accurately captures short-term dynamics of the two competitors that have been observed empirically and we use it to systematically explore the stability of cross-feeding interactions for a range of environmental conditions. We find that our simple system can display complex dynamics including multi-stable behavior separated by a critical point. Therefore whether cross-feeding interactions form depends on the complex interplay between density and frequency of the competitors as well as on the concentration of resources in the environment. Moreover, we find that subtly different environmental conditions can lead to dramatically different results regarding the establishment of cross-feeding, which could explain the apparently unpredictable between-population differences in experimental outcomes. We argue that mathematical models are essential tools for disentangling the complexities of cross-feeding interactions.

Indexed as

EnvironmentModels, BiologicalComputational BiologyEscherichia coliGlucoseMetabolismMicrobial ConsortiaGlucose

Identifiers

PMID28036324
PMCPMC5201250

What OpenQuestion holds

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LicenceCC BY
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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.