Evidence map›Paper›PMID 29463749›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Metabolic division of labor in microbial systems.

Ryan Tsoi, Feilun Wu, Carolyn Zhang, Sharon Bewick, David Karig, Lingchong You

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing 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

122 citing papers in PubMed.

  1. Engineering an asymmetric cross-feeding consortium inSynthetic and systems biotechnology · 2026
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  13. Dynamic Robust Control of Microbial Communities Using Cybergenetics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  14. Review
  15. Review
  16. Article
  17. Article
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  19. Article
  20. Review

62 more citing papers are in PubMed but not listed here.

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

6 authors.

Ryan TsoiDepartment of Biomedical Engineering, Duke University, Durham, NC 27708.
Feilun WuDepartment of Biomedical Engineering, Duke University, Durham, NC 27708.
Carolyn ZhangDepartment of Biomedical Engineering, Duke University, Durham, NC 27708.
Sharon BewickDepartment of Biology, University of Maryland, College Park, MD 20742.
David KarigResearch and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723.
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, NC 27708; you@duke.edu.

Funding

A comprehensive research resource to define mechanisms underlying microbial regulation of host metabolism in pediatric obesity and obesity-targeted therapeuticsR24DK110492 · NIDDK · DUKE UNIVERSITY · PI RAWLS, JOHN F, SEED, PATRICK C. · 2016 to 2020
$7.2M
Post-antibiotic effect and design of optimal antibiotic dosing protocolsR01GM098642 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2011 to 2025
$3.6M
NIDDK NIH HHS R24 DK110492NIGMS NIH HHS R01 GM098642
6 · The paper itself

Abstract

Metabolic pathways are often engineered in single microbial populations. However, the introduction of heterologous circuits into the host can create a substantial metabolic burden that limits the overall productivity of the system. This limitation could be overcome by metabolic division of labor (DOL), whereby distinct populations perform different steps in a metabolic pathway, reducing the burden each population will experience. While conceptually appealing, the conditions when DOL is advantageous have not been rigorously established. Here, we have analyzed 24 common architectures of metabolic pathways in which DOL can be implemented. Our analysis reveals general criteria defining the conditions that favor DOL, accounting for the burden or benefit of the pathway activity on the host populations as well as the transport and turnover of enzymes and intermediate metabolites. These criteria can help guide engineering of metabolic pathways and have implications for understanding evolution of natural microbial communities.

Indexed as

Metabolic EngineeringMetabolic Networks and PathwaysMicrobial ConsortiaSystems BiologyBacteriaBiomassKineticsModels, Biologicaldivision of labormathematical modelingmetabolic engineeringmicrobial communitiessystems biology

Identifiers

PMID29463749
PMCPMC5877992

What OpenQuestion holds

Textmetadata
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.