Evidence map›Paper›PMID 25038317›Full record

ArticleJournal of theoretical biology2014

Quantifying the effects of the division of labor in metabolic pathways.

Emily Harvey, Jeffrey Heys, Tomáš Gedeon

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Global dynamics of the chemostat with overflow metabolism.Journal of mathematical biology · 2021
    Article
  6. Article
  7. The microbial exometabolome: ecological resource and architect of microbial communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  8. Article
  9. Article
  10. Review
  11. Metabolic division of labor in microbial systems.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
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.

Emily HarveyMathematical Sciences, Montana State University, Bozeman, MT 59715, United States; Chemical and Biological Engineering, Montana State University, Bozeman, MT 59715, United States. Electronic address: e.p.harvey@massey.ac.nz.
Jeffrey HeysChemical and Biological Engineering, Montana State University, Bozeman, MT 59715, United States. Electronic address: jeffrey.heys@coe.montana.edu.
Tomáš GedeonMathematical Sciences, Montana State University, Bozeman, MT 59715, United States. Electronic address: gedeon@math.montana.edu.

Funding

SYSTEMS BIOLOGY OF HOST-PATHOGEN INTERACTIONSP20RR024237 · NCRR · MONTANA STATE UNIVERSITY - BOZEMAN · PI SINGEL, DAVID J · 2008 to 2011
$8.1M
Impact of hepatocyte lineage life history dynamics on liver homeostasis in the agR01AG040020 · NIA · MONTANA STATE UNIVERSITY - BOZEMAN · PI GEDEON, TOMAS, SCHMIDT, EDWARD E · 2011 to 2015
$1.5M
NCRR NIH HHS P20 RR024237NIA NIH HHS R01 AG040020
6 · The paper itself

Abstract

Division of labor is commonly observed in nature. There are several theories that suggest diversification in a microbial community may enhance stability and robustness, decrease concentration of inhibitory intermediates, and increase efficiency. Theoretical studies to date have focused on proving when the stable co-existence of multiple strains occurs, but have not investigated the productivity or biomass production of these systems when compared to a single 'super microbe' which has the same metabolic capacity. In this work we prove that if there is no change in the growth kinetics or yield of the metabolic pathways when the metabolism is specialized into two separate microbes, the biomass (and productivity) of a binary consortia system is always less than that of the equivalent monoculture. Using a specific example of Escherichia coli growing on a glucose substrate, we find that increasing the growth rates or substrate affinities of the pathways is not sufficient to explain the experimentally observed productivity increase in a community. An increase in pathway efficiency (yield) in specialized organisms provides the best explanation of the observed increase in productivity.

Indexed as

Models, BiologicalAdaptation, BiologicalBiomassComputer SimulationEscherichia coliGlucoseMetabolic Networks and PathwaysMicrobial ConsortiaSpecies SpecificityGlucoseChemostatCross-feedingMathematical modelingMicrobial ecologySyntrophic consortia

Identifiers

PMID25038317
PMCPMC4162874

What OpenQuestion holds

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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.