Evidence map›Paper›PMID 31768608›Full record

ReviewCellular and molecular life sciences : CMLS2020

Pseudomonad reverse carbon catabolite repression, interspecies metabolite exchange, and consortial division of labor.

Heejoon Park, S Lee McGill, Adrienne D Arnold, Ross P Carlson

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  7. Article
  8. Leveraging EngineeredACS synthetic biology · 2025
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  9. Combinatorial control ofmSystems · 2024
    Article
  10. Article
  11. Rapid dissemination of host metabolism-manipulating genes via integrative and conjugative elements.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  13. Review
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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 1 institution in 1 country.

Heejoon ParkDepartment of Chemical and Biological Engineering, Montana State University, Bozeman, USA.
S Lee McGillDepartment of Microbiology and Immunology, Montana State University, Bozeman, USA.
Adrienne D ArnoldDepartment of Microbiology and Immunology, Montana State University, Bozeman, USA.
Ross P CarlsonDepartment of Chemical and Biological Engineering, Montana State University, Bozeman, USA. rossc@montana.edu.ORCID http://orcid.org/0000-0002-2464-7111
Montana State University · US

Funding

Predictive Multiscale Modeling of Microbial Consortia BiofilmsU01EB019416 · NIBIB · MONTANA STATE UNIVERSITY - BOZEMAN · PI CARLSON, ROSS P., FIELDS, MATTHEW W · 2014 to 2017
$1.3M
Partnerships to Develop Injury Research Capacity in Sub-Saharan AfricaD43TW010463 · FIC · UT SOUTHWESTERN MEDICAL CENTER · PI IDRIS, AHAMED H, NWARIAKU, FIEMU E. · 2016 to 2021
$1.2M
Army Research Office W911NF-16-1-0463National Science Foundation 1361240National Science Foundation 1736255NIBIB NIH HHS U01 EB019416NIH HHS U01EB019416
6 · The paper itself

Abstract

Microorganisms acquire energy and nutrients from dynamic environments, where substrates vary in both type and abundance. The regulatory system responsible for prioritizing preferred substrates is known as carbon catabolite repression (CCR). Two broad classes of CCR have been documented in the literature. The best described CCR strategy, referred to here as classic CCR (cCCR), has been experimentally and theoretically studied using model organisms such as Escherichia coli. cCCR phenotypes are often used to generalize universal strategies for fitness, sometimes incorrectly. For instance, extremely competitive microorganisms, such as Pseudomonads, which arguably have broader global distributions than E. coli, have achieved their success using metabolic strategies that are nearly opposite of cCCR. These organisms utilize a CCR strategy termed 'reverse CCR' (rCCR), because the order of preferred substrates is nearly reverse that of cCCR. rCCR phenotypes prefer organic acids over glucose, may or may not select preferred substrates to optimize growth rates, and do not allocate intracellular resources in a manner that produces an overflow metabolism. cCCR and rCCR have traditionally been interpreted from the perspective of monocultures, even though most microorganisms live in consortia. Here, we review the basic tenets of the two CCR strategies and consider these phenotypes from the perspective of resource acquisition in consortia, a scenario that surely influenced the evolution of cCCR and rCCR. For instance, cCCR and rCCR metabolism are near mirror images of each other; when considered from a consortium basis, the complementary properties of the two strategies can mitigate direct competition for energy and nutrients and instead establish cooperative division of labor.

Indexed as

CarbonCatabolite RepressionEscherichia coliGlucoseHumansPhenotypePseudomonadaceaeCarbonGlucoseCarbon catabolic repressionDiauxieDivision of laborOverflow metabolismReverse carbon catabolic repression

Identifiers

PMID31768608
PMCPMC7015805
OpenAlexW2990951206

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.