Evidence map›Paper›PMID 39294402›Full record

ArticleNature ecology & evolution2024

Evolutionary shift of a tipping point can precipitate, or forestall, collapse in a microbial community.

Christopher Blake, Jake N Barber, Tim Connallon, Michael J McDonald

Abstract read
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In one paragraph

Article in Nature ecology & evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Evolution alters ecological resilience.Nature ecology & evolution · 2024
    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.

Christopher BlakeSchool of Biological Sciences, Monash University, Clayton, Victoria, Australia.ORCID http://orcid.org/0000-0002-6904-4074
Jake N BarberSchool of Biological Sciences, Monash University, Clayton, Victoria, Australia.ORCID http://orcid.org/0000-0001-9279-7763
Tim ConnallonSchool of Biological Sciences, Monash University, Clayton, Victoria, Australia.ORCID http://orcid.org/0000-0002-1962-4951
Michael J McDonaldSchool of Biological Sciences, Monash University, Clayton, Victoria, Australia. mike.mcdonald@monash.edu.ORCID http://orcid.org/0000-0002-5735-960X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global ecosystems are rapidly approaching tipping points, where minute shifts can lead to drastic ecological changes. Theory predicts that evolution can shape a system's tipping point behaviour, but direct experimental support is lacking. Here we investigate the power of evolutionary processes to alter these critical thresholds and protect an ecological community from collapse. To do this, we propagate a two-species microbial system composed of Escherichia coli and baker's yeast, Saccharomyces cerevisiae, for over 4,000 generations, and map ecological stability before and after coevolution. Our results reveal that tipping points-and other geometric properties of ecological communities-can evolve to alter the range of conditions under which our microbial community can flourish. We develop a mathematical model to illustrate how evolutionary changes in parameters such as growth rate, carrying capacity and resistance to environmental change affect ecological resilience. Our study shows that adaptation of key species can shift an ecological community's tipping point, potentially promoting ecological stability or accelerating collapse.

Indexed as

Biological EvolutionEscherichia coliSaccharomyces cerevisiaeEcosystemMicrobiotaModels, Biological

Identifiers

What OpenQuestion holds

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Read underepoch 390

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.