Evidence map›Paper›PMID 40164605›Full record

ArticleNature communications2025

Replicating community dynamics reveals how initial composition shapes the functional outcomes of bacterial communities.

A Pascual-García, D W Rivett, Matt Lloyd Jones, T Bell

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Toward Meta-Omics Governance of the Urban Microbiome Commons.Annals of the New York Academy of Sciences · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Metatranscriptomic insights into the effect ofFrontiers in microbiology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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.

A Pascual-García *Centro Nacional de Biotecnología, CSIC, Madrid, Spain.ORCID http://orcid.org/0000-0002-8444-3196
D W Rivett *Department of Natural Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK.ORCID http://orcid.org/0000-0002-1852-6137
Matt Lloyd JonesEuropean Centre for Environment and Human Health, University of Exeter, Penryn, UK.ORCID http://orcid.org/0000-0001-5841-4554
T BellImperial College London, Silwood Park Campus, Ascot, UK. thomas.bell@imperial.ac.uk.ORCID http://orcid.org/0000-0002-2615-3932

Funding

RCUK | Natural Environment Research Council (NERC) NE/V011596/1Simons Foundation 542381/FY22
6 · The paper itself

Abstract

Bacterial communities play key roles in global biogeochemical cycles, industry, agriculture, human health, and animal husbandry. There is therefore great interest in understanding bacterial community dynamics so that they can be controlled and engineered to optimise ecosystem services. We assess the reproducibility and predictability of bacterial community dynamics by creating a frozen archive of hundreds of naturally-occurring bacterial communities that we repeatedly revive and track in a standardised, complex resource environment. Replicate communities follow reproducible trajectories and the community dynamics closely map to ecosystem functioning. However, even under standardised conditions, the communities exhibit tipping-points, where small differences in initial community composition create divergent compositional and functional outcomes. The predictability of community trajectories therefore requires detailed knowledge of rugged compositional landscapes where ecosystem properties are not the inevitable result of prevailing environmental conditions but can be tilted toward different outcomes depending on the initial community composition. Our results shed light on the relationship between composition and function, opening new avenues to understand the feasibility and limitations of function prediction in complex microbial communities.

Indexed as

BacteriaMicrobiotaEcosystemRNA, Ribosomal, 16SSoil MicrobiologyRNA, Ribosomal, 16S

Identifiers

PMID40164605
PMCPMC11958796

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.