Evidence map›Paper›PMID 39762572›Full record

ArticleNature ecology & evolution2025

Collective dynamical regimes predict invasion success and impacts in microbial communities.

Jiliang Hu, Matthieu Barbier, Guy Bunin, Jeff Gore

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  10. A theory of ecological invasions and its implications for eco-evolutionary dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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.

Jiliang HuPhysics of Living Systems, Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0580-8741
Matthieu BarbierCIRAD, UMR PHIM, Montpellier, France.ORCID http://orcid.org/0000-0002-0669-8927
Guy BuninDepartment of Physics, Technion-Israel Institute of Technology, Haifa, Israel.ORCID http://orcid.org/0000-0002-3074-4217
Jeff GorePhysics of Living Systems, Department of Physics, Massachusetts Institute of Technology, Cambridge, MA, USA. gore@mit.edu.ORCID http://orcid.org/0000-0003-4583-8555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outcomes of ecological invasions may depend on either characteristics of the invading species or attributes of the resident community. Here we use a combination of experiments and theory to show that the interplay between dynamics, interaction strength and diversity determine the invasion outcome in microbial communities. We find that the communities with fluctuating species abundances are more invasible and diverse than stable communities, leading to a positive diversity-invasibility relationship among communities assembled in the same environment. As predicted by theory, increasing interspecies interaction strength and species pool size leads to a decrease of invasion probability in our experiment. Our results show a positive correspondence between invasibility and survival fraction of resident species across all conditions. Communities composed of strongly interacting species can exhibit an emergent priority effect in which invader species are less likely to colonize than species in the original pool. However, if an invasion is successful, its ecological effects on the resident community are greater when interspecies interactions are strong. Our findings provide a unified perspective on the diversity-invasibility debate by showing that invasibility and invasion effect are emergent properties of interacting species, which can be predicted by simple community-level features.

Indexed as

Introduced SpeciesMicrobiotaBiodiversityModels, Biological

Identifiers

PMID39762572
PMCPMC11893462

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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.