Evidence map›Paper›PMID 30626871›Full record

ArticleNature communications2019

Costless metabolic secretions as drivers of interspecies interactions in microbial ecosystems.

Alan R Pacheco, Mauricio Moel, Daniel Segrè

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers.

0numbers the graph read from it
0cells of the map it votes in
173citing 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

173 citing papers in PubMed.

  1. Trial
  2. Article
  3. The Effects of Vitamin DAnimals : an open access journal from MDPI · 2026
    Article
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  6. Article
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  14. Review
  15. Differential survival and tolerance mechanisms ofApplied and environmental microbiology · 2026
    Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

113 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

3 authors.

Alan R PachecoGraduate Program in Bioinformatics and Biological Design Center, Boston University, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0002-1128-3232
Mauricio MoelDepartment of Biology, Boston University, Boston, MA, 02215, USA.
Daniel SegrèGraduate Program in Bioinformatics and Biological Design Center, Boston University, Boston, MA, 02215, USA. dsegre@bu.edu.ORCID http://orcid.org/0000-0003-4859-1914

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Cultivation, Nature, Ecology and Pathogenicity of the Uncultivable Oral MicrobiomR01DE024468 · NIDCR · ADA FORSYTH INSTITUTE, INC. · PI ALM, ERIC JOHN, DEWHIRST, FLOYD E · 2014 to 2018
$7.3M
A platform for mining, visualization and design of microbial interaction networksR01GM121950 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DELISI, CHARLES, HU, ZHENJUN · 2017 to 2019
$1.1M
NIDCR NIH HHS R01 DE024468NIGMS NIH HHS R01 GM121950NIH HHS 5R01DE024468NIH HHS P30DK036836NIH HHS R01GM121950
6 · The paper itself

Abstract

Metabolic exchange mediates interactions among microbes, helping explain diversity in microbial communities. As these interactions often involve a fitness cost, it is unclear how stable cooperation can emerge. Here we use genome-scale metabolic models to investigate whether the release of "costless" metabolites (i.e. those that cause no fitness cost to the producer), can be a prominent driver of intermicrobial interactions. By performing over 2 million pairwise growth simulations of 24 species in a combinatorial assortment of environments, we identify a large space of metabolites that can be secreted without cost, thus generating ample cross-feeding opportunities. In addition to providing an atlas of putative interactions, we show that anoxic conditions can promote mutualisms by providing more opportunities for exchange of costless metabolites, resulting in an overrepresentation of stable ecological network motifs. These results may help identify interaction patterns in natural communities and inform the design of synthetic microbial consortia.

Indexed as

Computer SimulationMicrobial ConsortiaMicrobial InteractionsModels, BiologicalMicrobiotaSpecies SpecificitySymbiosis

Identifiers

PMID30626871
PMCPMC6327061

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.