Evidence map›Paper›PMID 31187139›Full record

ArticleFEMS microbiology letters2019

A multidimensional perspective on microbial interactions.

Alan R Pacheco, Daniel Segrè

Abstract read
In one paragraph

Article in FEMS microbiology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

  1. Article
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  11. Article
  12. Biofilm development ofMicrobiology spectrum · 2025
    Article
  13. Article
  14. Dynamic coexistence driven by physiological transitions in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Review
  16. Review
  17. Article
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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

2 authors.

Alan R PachecoGraduate Program in Bioinformatics and Biological Design Center, Boston University, 24 Cummington Mall, Boston, MA, 02215, USA.
Daniel SegrèGraduate Program in Bioinformatics and Biological Design Center, Boston University, 24 Cummington Mall, Boston, MA, 02215, USA.

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 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
Predoctoral Training in Bioinformatics and Computational BiologyT32GM100842 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI TULLIUS, THOMAS D · 2012 to 2022
$2.8M
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
Howard Hughes Medical InstituteNIDCR NIH HHS R01 DE024468NIDDK NIH HHS P30 DK036836NIGMS NIH HHS R01 GM121950NIGMS NIH HHS T32 GM100842
6 · The paper itself

Abstract

Beyond being simply positive or negative, beneficial or inhibitory, microbial interactions can involve a diverse set of mechanisms, dependencies and dynamical properties. These more nuanced features have been described in great detail for some specific types of interactions, (e.g. pairwise metabolic cross-feeding, quorum sensing or antibiotic killing), often with the use of quantitative measurements and insight derived from modeling. With a growing understanding of the composition and dynamics of complex microbial communities for human health and other applications, we face the challenge of integrating information about these different interactions into comprehensive quantitative frameworks. Here, we review the literature on a wide set of microbial interactions, and explore the potential value of a formal categorization based on multidimensional vectors of attributes. We propose that such an encoding can facilitate systematic, direct comparisons of interaction mechanisms and dependencies, and we discuss the relevance of an atlas of interactions for future modeling and rational design efforts.

Indexed as

AnimalsEcologyHumansMicrobial InteractionsMicrobiotaSystems Biologymicrobial communitiesmicrobial ecologymicrobial interactionsmicrobiomemutualismsystems biology of metabolism

Identifiers

PMID31187139
PMCPMC6610204

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.