Evidence map›Paper›PMID 31830028›Full record

ArticlePLoS biology2019

High-order interactions distort the functional landscape of microbial consortia.

Alicia Sanchez-Gorostiaga, Djordje Bajić, Melisa L Osborne, Juan F Poyatos, Alvaro Sanchez

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

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

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  11. Global epistasis in ecosystems arises from resource constraints.bioRxiv : the preprint server for biology · 2026
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42 more citing papers are in PubMed but not listed here.

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.

Alicia Sanchez-GorostiagaDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0002-2719-5659
Djordje BajićDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0002-6716-7898
Melisa L OsborneThe Rowland Institute at Harvard, Harvard University, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-3945-7134
Juan F PoyatosThe Rowland Institute at Harvard, Harvard University, Cambridge, Massachusetts, United States of America.
Alvaro SanchezDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0002-2292-5608

Funding

Predicting the assembly and function of microbial consortia: a systems biology approachR35GM133467 · NIGMS · YALE UNIVERSITY · PI SANCHEZ DE ANDRES, ALVARO · 2019 to 2021
$1.3M
NIGMS NIH HHS R35 GM133467
6 · The paper itself

Abstract

Understanding the link between community composition and function is a major challenge in microbial population biology, with implications for the management of natural microbiomes and the design of synthetic consortia. Specifically, it is poorly understood whether community functions can be quantitatively predicted from traits of species in monoculture. Inspired by the study of complex genetic interactions, we have examined how the amylolytic rate of combinatorial assemblages of six starch-degrading soil bacteria depend on the separate functional contributions from each species and their interactions. Filtering our results through the theory of biochemical kinetics, we show that this simple function is additive in the absence of interactions among community members. For about half of the combinatorially assembled consortia, the amylolytic function is dominated by pairwise and higher-order interactions. For the other half, the function is additive despite the presence of strong competitive interactions. We explain the mechanistic basis of these findings and propose a quantitative framework that allows us to separate the effect of behavioral and population dynamics interactions. Our results suggest that the functional robustness of a consortium to pairwise and higher-order interactions critically affects our ability to predict and bottom-up engineer ecosystem function in complex communities.

Indexed as

BacteriaMicrobial ConsortiaMicrobial InteractionsMicrobiotaSoilSoil MicrobiologySoil

Identifiers

PMID31830028
PMCPMC6932822

What OpenQuestion holds

Textmetadata
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.