Evidence map›Paper›PMID 25941371›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Metabolic dependencies drive species co-occurrence in diverse microbial communities.

Aleksej Zelezniak, Sergej Andrejev, Olga Ponomarova, Daniel R Mende, Peer Bork, Kiran Raosaheb Patil

Erratum issuedAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 441 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
441citing papers in PubMed, 2 pooled it
–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

441 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Biofilm synergy byBiofilm · 2026
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381 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Aleksej ZelezniakStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Sergej AndrejevStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Olga PonomarovaStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Daniel R MendeStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Peer BorkStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Kiran Raosaheb PatilStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany patil@embl.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities populate most environments on earth and play a critical role in ecology and human health. Their composition is thought to be largely shaped by interspecies competition for the available resources, but cooperative interactions, such as metabolite exchanges, have also been implicated in community assembly. The prevalence of metabolic interactions in microbial communities, however, has remained largely unknown. Here, we systematically survey, by using a genome-scale metabolic modeling approach, the extent of resource competition and metabolic exchanges in over 800 communities. We find that, despite marked resource competition at the level of whole assemblies, microbial communities harbor metabolically interdependent groups that recur across diverse habitats. By enumerating flux-balanced metabolic exchanges in these co-occurring subcommunities we also predict the likely exchanged metabolites, such as amino acids and sugars, that can promote group survival under nutritionally challenging conditions. Our results highlight metabolic dependencies as a major driver of species co-occurrence and hint at cooperative groups as recurring modules of microbial community architecture.

Indexed as

Models, BiologicalSymbiosisMetabolic Networks and PathwaysMicrobial ConsortiaMicrobial InteractionsPhylogenySpecies SpecificityStatistics, Nonparametriccommunity metabolismcooperationmetabolic modelingnaturalization theorysyntrophy

Identifiers

PMID25941371
PMCPMC4443341

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.