Evidence map›Paper›PMID 32781027›Full record

ReviewTrends in microbiology2020

Metabolic Heterogeneity and Cross-Feeding in Bacterial Multicellular Systems.

Christopher R Evans, Christopher P Kempes, Alexa Price-Whelan, Lars E P Dietrich

Open access · greenAbstract readReview
In one paragraph

Review in Trends in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
11.3field-weighted citation impact, top 1% of its field
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

58 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
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  3. Targeting the non-coding RNA-PANoptosis axis: a novel frontier in disease diagnosis and therapy.Apoptosis : an international journal on programmed cell death · 2026
    Review
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  12. ZnO Nanocrystals InhibitInternational journal of nanomedicine · 2026
    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

4 authors at 2 institutions in 1 country.

Christopher R EvansDepartment of Biological Sciences, Columbia University, New York, NY, USA.
Christopher P KempesSanta Fe Institute, Santa Fe, NM, USA.
Alexa Price-WhelanDepartment of Biological Sciences, Columbia University, New York, NY, USA.
Lars E P DietrichDepartment of Biological Sciences, Columbia University, New York, NY, USA. Electronic address: LDietrich@columbia.edu.
Columbia University · USSanta Fe Institute · US

Funding

Integration of redox-balancing mechanisms in Pseudomonas aeruginosa biofilmsR01AI103369 · NIAID · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DIETRICH, LARS · 2013 to 2022
$4.1M
NIAID NIH HHS R01 AI103369
6 · The paper itself

Abstract

Cells in assemblages differentiate and perform distinct roles. Though many pathways of differentiation are understood at the molecular level in multicellular eukaryotes, the elucidation of similar processes in bacterial assemblages is recent and ongoing. Here, we discuss examples of bacterial differentiation, focusing on cases in which distinct metabolisms coexist and those that exhibit cross-feeding, with one subpopulation producing substrates that are metabolized by a second subpopulation. We describe several studies of single-species systems, then segue to studies of multispecies metabolic heterogeneity and cross-feeding in the clinical setting. Many of the studies described exemplify the application of new techniques and modeling approaches that provide insights into metabolic interactions relevant for bacterial growth outside the laboratory.

Indexed as

Metabolic Networks and PathwaysMicrobial InteractionsBacteriaBacterial Physiological PhenomenaBiofilmsDrug Resistance, BacterialMicrofluidicsbiofilmsmetabolite exchangemicrofluidicsphenotypic diversity

Identifiers

PMID32781027
PMCPMC7419710
OpenAlexW3019528637

What OpenQuestion holds

Textmetadata
LicenceTDM
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.