Evidence map›Paper›PMID 39181977›Full record

ArticleCommunications biology2024

Cross-biome microbial networks reveal functional redundancy and suggest genome reduction through functional complementarity.

Fernando Puente-Sánchez, Alberto Pascual-García, Ugo Bastolla, Carlos Pedrós-Alió, Javier Tamames

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 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

5 authors.

Fernando Puente-SánchezSystems Biology Department, Centro Nacional de Biotecnología (CSIC), C/ Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain. fernando.puente.sanchez@slu.se.ORCID 0000-0002-6341-3692
Alberto Pascual-GarcíaSystems Biology Department, Centro Nacional de Biotecnología (CSIC), C/ Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain.
Ugo BastollaComputational Biology and Bioinformatics, Centro de Biología Molecular Severo Ochoa (Universidad Autónoma de Madrid - CSIC), C/ Nicolás Cabrera 1, Campus de Cantoblanco, 28049, Madrid, Spain.
Carlos Pedrós-AlióSystems Biology Department, Centro Nacional de Biotecnología (CSIC), C/ Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain.
Javier TamamesSystems Biology Department, Centro Nacional de Biotecnología (CSIC), C/ Darwin 3, Campus de Cantoblanco, 28049, Madrid, Spain.

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 892961Simons Foundation 542381
6 · The paper itself

Abstract

The structure of microbial communities arises from a multitude of factors, including the interactions of microorganisms with each other and with the environment. In this work, we sought to disentangle those drivers by performing a cross-study, cross-biome meta-analysis of microbial occurrence data in more than 5000 samples, applying a novel network clustering algorithm aimed to capture conditional taxa co-occurrences. We then examined the phylogenetic and functional composition of the resulting clusters, and searched for global patterns of assembly both at the community level and in the presence/absence of individual metabolic pathways.Our analysis highlighted the prevalence of functional redundancy in microbial communities, particularly between taxa that co-occur in more than one environment, pointing to a relationship between functional redundancy and environmental adaptation. In spite of this, certain pathways were observed in fewer taxa than expected by chance, suggesting the presence of auxotrophy, and presumably cooperation among community members. This hypothetical cooperation may play a role in genome reduction, since we observed a negative relationship between the size of bacterial genomes and the size of the community they belong to.Overall, our results suggest the microbial community assembly is driven by universal principles that operate consistently across different biomes and taxonomic groups.

Indexed as

Genome, BacterialMicrobiotaAlgorithmsBacteriaMetabolic Networks and PathwaysPhylogeny

Identifiers

PMID39181977
PMCPMC11344793

What OpenQuestion holds

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LicenceCC BY
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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.