Evidence map›Paper›PMID 32379752›Full record

ArticlePLoS computational biology2020

Dynamic metabolic adaptation can promote species coexistence in competitive microbial communities.

Leonardo Pacciani-Mori, Andrea Giometto, Samir Suweis, Amos Maritan

Erratum issuedAbstract read
In one paragraph

Article in PLoS computational biology, 2020. 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 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
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  4. Modelling the prebiotic origins of regulation and agency in evolving protocell ecologies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  5. Article
  6. Resource-use plasticity governs the causal relationship between traits and community structure in model microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Review
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  11. Article
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  13. Grow now, pay later: When should a bacterium go into debt?Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. DeconstructingiScience · 2023
    Article
  18. Article
  19. Environmental fluctuations explain the universal decay of species-abundance correlations with phylogenetic distance.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Leonardo Pacciani-MoriDepartment of Physics and Astronomy "Galileo Galilei", University of Padua, Padua, Italy.ORCID 0000-0001-9765-0728
Andrea GiomettoDepartment of Physics and Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-0544-6023
Samir SuweisDepartment of Physics and Astronomy "Galileo Galilei", University of Padua, Padua, Italy.ORCID 0000-0002-1603-8375
Amos MaritanDepartment of Physics and Astronomy "Galileo Galilei", University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbes are capable of physiologically adapting to diverse environmental conditions by differentially varying the rates at which they uptake different nutrients. In particular, microbes can switch hierarchically between different energy sources, consuming first those that ensure the highest growth rate. Experimentally, this can result in biphasic growth curves called "diauxic shifts" that typically arise when microbes are grown in media containing several nutrients. Despite these observations are well known in microbiology and molecular biology, the mathematical models generally used to describe the population dynamics of microbial communities do not account for dynamic metabolic adaptation, thus implicitly assuming that microbes cannot switch dynamically from one resource to another. Here, we introduce dynamic metabolic adaptation in the framework of consumer-resource models, which are commonly used to describe competitive microbial communities, allowing each species to temporally change its preferred energy source to maximize its own relative fitness. We show that dynamic metabolic adaptation enables the community to self-organize, allowing several species to coexist even in the presence of few resources, and to respond optimally to a time-dependent environment, thus showing that dynamic metabolic adaptation could be an important mechanism for maintaining high levels of diversity even in environments with few energy sources. We show that introducing dynamic metabolic strategies in consumer-resource models is necessary for reproducing experimental growth curves of the baker's yeast Saccharomyces cerevisiae growing in the presence of two carbon sources. Even though diauxic shifts emerge naturally from the model when two resources are qualitatively very different, the model predicts that the existence of such shifts is not a prerequisite for species coexistence in competitive communities.

Indexed as

Adaptation, PhysiologicalMicrobiotaModels, BiologicalSaccharomyces cerevisiaeSpecies Specificity

Identifiers

PMID32379752
PMCPMC7244184

What OpenQuestion holds

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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.