Evidence map›Paper›PMID 42341030›Full record

ArticlePLoS biology2026

Normative assembly rule reveals fairness in microbial communities.

Teemu Kuosmanen, Juhani Rantanen, Dovydas Kičiatovas, Sanna Pausio, Ville-Petri Friman, Teppo Hiltunen, Ville Mustonen

Abstract read
In one paragraph

Article in PLoS biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Teemu KuosmanenDepartment of Computer Science, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-8724-5048
Juhani RantanenDepartment of Biology, University of Turku, Turku, Finland.
Dovydas KičiatovasDepartment of Computer Science, University of Helsinki, Helsinki, Finland.
Sanna PausioDepartment of Biology, University of Turku, Turku, Finland.ORCID https://orcid.org/0009-0008-3210-5313
Ville-Petri FrimanDepartment of Microbiology, University of Helsinki, Helsinki, Finland.
Teppo HiltunenDepartment of Biology, University of Turku, Turku, Finland.
Ville MustonenDepartment of Computer Science, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-7270-1792

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding and predicting how communities assemble is a paramount challenge in ecology. Here we address these questions normatively by comparing the observed species abundance distribution to a game-theoretically fair distribution based on each species' Shapley value. By analyzing in total 56 distinct community outcomes, we assess how fairly biomass is distributed in microbial communities displaying both competitive and cooperative interactions in different growth conditions. We find examples of fair communities that closely follow their Shapley value across all environments as well as counterexamples where the true abundances deviate from the species' objective contribution to community biomass. Next, we develop a fair assembly rule based on the recursive definition of Shapley value and show that also unfair community compositions are consistent with the principles of fair assembly after the lower-level competitive outcomes are known. Our results give unique empirical insights into the distributive function of ecological dynamics and lay down the theoretical foundations of what might become a normative community assembly theory.

Indexed as

MicrobiotaModels, BiologicalBiomassEcosystemGame Theory

Identifiers

PMID42341030
PMCPMC13327520

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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.