Evidence map›Paper›PMID 26222307›Full record

ArticlePloS one2015

An Economic Framework of Microbial Trade.

Joshua Tasoff, Michael T Mee, Harris H Wang

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Weaponising microbes for peace.Microbial biotechnology · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Using golden apple snail to mitigate its invasion and improve soil quality: a biocontrol approach.Environmental science and pollution research international · 2020
    Article
  14. Article
  15. Individual- versus group-optimality in the production of secreted bacterial compounds.Evolution; international journal of organic evolution · 2019
    Article
  16. Review
  17. Review
  18. A systematic approach to cancer: evolution beyond selection.Clinical and translational medicine · 2017
    Article
  19. Article
  20. Article
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.

Joshua TasoffDepartment of Economics, Claremont Graduate University, Claremont, California, United States of America.
Michael T MeeDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, United States of America.
Harris H WangDepartment of Systems Biology, Columbia University, New York, New York, United States of America.

Funding

Functional Metagenomic Reprogramming of the Human Microbiome through Mobilome EngDP5OD009172 · OD · HARVARD MEDICAL SCHOOL · PI WANG, HARRIS H · 2011 to 2015
$2.0M
Canadian Institutes of Health ResearchNIH HHS 7DP5OD009172-03NIH HHS DP5 OD009172
6 · The paper itself

Abstract

A large fraction of microbial life on earth exists in complex communities where metabolic exchange is vital. Microbes trade essential resources to promote their own growth in an analogous way to countries that exchange goods in modern economic markets. Inspired by these similarities, we developed a framework based on general equilibrium theory (GET) from economics to predict the population dynamics of trading microbial communities. Our biotic GET (BGET) model provides an a priori theory of the growth benefits of microbial trade, yielding several novel insights relevant to understanding microbial ecology and engineering synthetic communities. We find that the economic concept of comparative advantage is a necessary condition for mutualistic trade. Our model suggests that microbial communities can grow faster when species are unable to produce essential resources that are obtained through trade, thereby promoting metabolic specialization and increased intercellular exchange. Furthermore, we find that species engaged in trade exhibit a fundamental tradeoff between growth rate and relative population abundance, and that different environments that put greater pressure on group selection versus individual selection will promote varying strategies along this growth-abundance spectrum. We experimentally tested this tradeoff using a synthetic consortium of Escherichia coli cells and found the results match the predictions of the model. This framework provides a foundation to study natural and engineered microbial communities through a new lens based on economic theories developed over the past century.

Indexed as

Models, BiologicalEscherichia coliMicrobial Consortia

Identifiers

PMID26222307
PMCPMC4519184

What OpenQuestion holds

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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.