Evidence map›Paper›PMID 42479765›Full record

ArticlePLoS computational biology2026

Eco-evolutionary dynamics lead to functionally robust and redundant communities.

Lorenzo Fant, Iuri Macocco, Jacopo Grilli

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Closed ecosystems extract energy through self-organized nutrient cycles.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. 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

3 authors.

Lorenzo FantDynamics of Ecosystems and Computational Oceanography (ECHO), National Institute of Oceanography and Applied Geophysics - OGS, Trieste, Italy.ORCID https://orcid.org/0000-0002-0258-1107
Iuri MacoccoInternational School for Advanced Studies - SISSA, Trieste, Italy.
Jacopo GrilliQuantitative Life Sciences, The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy.ORCID https://orcid.org/0000-0002-8235-5803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities are taxonomically diverse and variable: species presence and abundances widely fluctuate over time, space, and even across biological replicates under controlled experimental conditions. However, environmental conditions exert strong selection on the traits of community members and their functions. Similar environmental conditions are expected to produce functionally similar communities. This environmental selection, combined with taxonomic variability, leads to the influential concept of functional redundancy - the idea that many species can perform the same function, allowing communities with different species compositions to maintain identical functional profiles. Despite the centrality of functional redundancy in microbial ecology, we lack a theoretical understanding of its origin. Here we study the eco-evolutionary dynamics of communities interacting through competition and cross-feeding. We show that eco-evolutionary trajectories rapidly converge to a "functional attractor" - a functional composition uniquely determined by environmental conditions. Taxonomic composition follows non-reproducible dynamics while being constrained by the conservation of functional composition. Our framework provides a theoretical foundation for understanding functional robustness and redundancy in microbial communities.

Indexed as

Biological EvolutionEcosystemMicrobiotaModels, BiologicalComputational Biology

Identifiers

PMID42479765
PMCPMC13432115

What OpenQuestion holds

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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.