Evidence map›Paper›PMID 28211914›Full record

ArticleScientific reports2017

Eco-evolutionary feedbacks can rescue cooperation in microbial populations.

Clara Moreno-Fenoll, Matteo Cavaliere, Esteban Martínez-García, Juan F Poyatos

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Open questions in the social lives of viruses.Journal of evolutionary biology · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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.

Clara Moreno-FenollLogic of Genomics Systems Lab (CNB-CSIC), Madrid, Spain.
Matteo CavaliereLogic of Genomics Systems Lab (CNB-CSIC), Madrid, Spain.
Esteban Martínez-GarcíaMolecular Environmental Microbiology Lab (CNB-CSIC) Madrid, Spain.
Juan F PoyatosLogic of Genomics Systems Lab (CNB-CSIC), Madrid, Spain.

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council
6 · The paper itself

Abstract

Bacterial populations whose growth depends on the cooperative production of public goods are usually threatened by the rise of cheaters that do not contribute but just consume the common resource. Minimizing cheater invasions appears then as a necessary mechanism to maintain these populations. However, that invasions result instead in the persistence of cooperation is a prospect that has yet remained largely unexplored. Here, we show that the demographic collapse induced by cheaters in the population can actually contribute to the rescue of cooperation, in a clear illustration of how ecology and evolution can influence each other. The effect is made possible by the interplay between spatial constraints and the essentiality of the shared resource. We validate this result by carefully combining theory and experiments, with the engineering of a synthetic bacterial community in which the public compound allows survival to a lethal stress. The characterization of the experimental system identifies additional factors that can matter, like the impact of the lag phase on the tolerance to stress, or the appearance of spontaneous mutants. Our work explains the unanticipated dynamics that eco-evolutionary feedbacks can generate in microbial communities, feedbacks that reveal fundamental for the adaptive change of ecosystems at all scales.

Indexed as

Biological EvolutionEcosystemMicrobial InteractionsMicrobiotaModels, BiologicalAnti-Bacterial AgentsBacteriaAnti-Bacterial Agents

Identifiers

PMID28211914
PMCPMC5304172

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.