Evidence map›Paper›PMID 32518193›Full record

ArticlemSystems2020

Emergence of Metabolite Provisioning as a By-Product of Evolved Biological Functions.

Sebastian Gude, Gordon J Pherribo, Michiko E Taga

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Vitamin BISME communications · 2025
    Article
  6. International journal of molecular sciences · 2024
    Review
  7. 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

3 authors at 1 institution in 1 country.

Sebastian Gude *Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, California, USA.
Gordon J Pherribo *Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, California, USA.
Michiko E TagaDepartment of Plant and Microbial Biology, University of California, Berkeley, Berkeley, California, USA taga@berkeley.edu.
University of California, Berkeley · US

Funding

Targeted Killing of Bacteria in CommunitiesDP2AI117984 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI TAGA, MICHIKO E. · 2014 to 2014
$2.3M
NIAID NIH HHS DP2 AI117984
6 · The paper itself

Abstract

Microbes commonly use metabolites produced by other organisms to compete effectively with others in their environment. As a result, microbial communities are composed of networks of metabolically interdependent organisms. How these networks evolve and shape population diversity, stability, and community function is a subject of active research. But how did these metabolic interactions develop initially? In particular, how and why are metabolites such as amino acids, cofactors, and nucleobases released for the benefit of others when there apparently is no incentive to do so? Here, we discuss the hypothesis that metabolite provisioning is not itself adaptive but rather can be a natural consequence of other evolved biological functions. We outline two examples of metabolite provisioning as a by-product of other functions by considering cell lysis and regulated metabolite efflux outside their canonical roles and explore their potential to facilitate the emergence of interdependent metabolite sharing.

Indexed as

auxotrophycoevolutionfree-living bacteriainterdependent metabolismintracellular metabolitesleaky functionslysismetabolite provisioningmetabolite releasemicrobial communitiesmicrobial evolutionregulated metabolite efflux

Identifiers

PMID32518193
PMCPMC7289587
OpenAlexW3034123697

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.