Evidence map›Paper›PMID 41478866›Full record

ReviewNature reviews. Microbiology2026

Keystone concept revisited: insights into microbial community dynamics and control.

Daniel Rios Garza, Didier Gonze, Karoline Faust

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

3 authors.

Daniel Rios GarzaDepartment of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-3865-2146
Didier GonzeUnité de Chronobiologie Théorique, Faculté des Sciences, Université Libre de Bruxelles, Bruxelles, Belgium.
Karoline FaustDepartment of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, KU Leuven, Leuven, Belgium. karoline.faust@kuleuven.be.ORCID http://orcid.org/0000-0001-7129-2803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different definitions of keystone taxa and functions agree that they have an outsized role in maintaining community composition, and thus, the keystone concept continues to attract attention even 50 years after its introduction. In this Perspective, we base our definition of microbial keystones on the original one to explore its implications and limitations. We review different mechanisms behind keystoneness, cover the strengths and weaknesses of current keystone prediction methods and present findings on keystones discovered in recent experiments. In addition, we suggest a new prediction method for keystones based on metabolic modelling. Finally, we discuss the role of keystones in community control strategies. Overall, the development of new prediction methods and the insights from recent experiments illustrate the continued relevance of the keystone concept for microbial communities.

Indexed as

BacteriaMicrobiotaMicrobial InteractionsModels, Biological

Identifiers

What OpenQuestion holds

Textmetadata
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.