Evidence map›Paper›PMID 32453781›Full record

ArticlePLoS computational biology2020

Microbial communities display alternative stable states in a fluctuating environment.

Clare I Abreu, Vilhelm L Andersen Woltz, Jonathan Friedman, Jeff Gore

Abstract 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. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Competition for shared resources increases dependence on initial population size during coalescence of gut microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Evolution of a bistable genetic system in fluctuating and nonfluctuating environments.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Resource competition can explain simplicity in microbial community assembly.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Network-level containment of single-species bioengineering.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  18. Article
  19. Article
  20. 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.

Clare I AbreuPhysics of Living Systems, Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.ORCID 0000-0001-6728-7921
Vilhelm L Andersen WoltzPhysics of Living Systems, Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Jonathan FriedmanDepartment of Plant Pathology and Microbiology, The Hebrew University of Jerusalem, Rehovot, Israel.ORCID 0000-0001-8476-8030
Jeff GorePhysics of Living Systems, Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.ORCID 0000-0003-4583-8555

Funding

Environmental modulation of microbial conflict and cooperationR01GM102311 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GORE, JEFF · 2013 to 2020
$2.3M
NIGMS NIH HHS R01 GM102311
6 · The paper itself

Abstract

The effect of environmental fluctuations is a major question in ecology. While it is widely accepted that fluctuations and other types of disturbances can increase biodiversity, there are fewer examples of other types of outcomes in a fluctuating environment. Here we explore this question with laboratory microcosms, using cocultures of two bacterial species, P. putida and P. veronii. At low dilution rates we observe competitive exclusion of P. veronii, whereas at high dilution rates we observe competitive exclusion of P. putida. When the dilution rate alternates between high and low, we do not observe coexistence between the species, but rather alternative stable states, in which only one species survives and initial species' fractions determine the identity of the surviving species. The Lotka-Volterra model with a fluctuating mortality rate predicts that this outcome is independent of the timing of the fluctuations, and that the time-averaged mortality would also lead to alternative stable states, a prediction that we confirm experimentally. Other pairs of species can coexist in a fluctuating environment, and again consistent with the model we observe coexistence in the time-averaged dilution rate. We find a similar time-averaging result holds in a three-species community, highlighting that simple linear models can in some cases provide powerful insight into how communities will respond to environmental fluctuations.

Indexed as

EcosystemMicrobiotaBayes TheoremBiodiversityCoculture TechniquesComputer SimulationEnterobacter aerogenesLinear ModelsModels, BiologicalPseudomonasPseudomonas putidaSoil MicrobiologySpecies Specificity

Identifiers

PMID32453781
PMCPMC7274482

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.