Evidence map›Paper›PMID 32915459›Full record

ArticleBiotechnology and bioengineering2021

Dynamics of microbial competition, commensalism, and cooperation and its implications for coculture and microbiome engineering.

Peng Xu

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
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  5. Hypersensitivity of chitin degradation to initial species densities due to monomer diffusion.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
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  11. Microbiome engineering for bioremediation of emerging pollutants.Bioprocess and biosystems engineering · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. 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

1 author.

Peng XuDepartment of Chemical, Biochemical and Environmental Engineering, University of Maryland Baltimore County, Baltimore, Maryland, USA.ORCID 0000-0002-0999-8546

Funding

Bill and Melinda Gates Foundation OPP1188443National Science Foundation CBET-1805139
6 · The paper itself

Abstract

Microbial consortium is a complex adaptive system with higher-order dynamic characteristics that are not present by individual members. To accurately predict the social interactions, we formulate a set of unstructured kinetic models to quantitatively capture the dynamic interactions of multiple microbial species. By introducing an interaction coefficient, we analytically derived the steady-state solutions for the interacting species and the substrate-depleting profile in the chemostat. We analyzed the stability of the possible coexisting states defined by competition, parasitism, amensalism, commensalism, and cooperation. Our model predicts that only parasitism, commensalism, and cooperation could lead to stable coexisting states. We also determined the optimal social interaction criteria of microbial coculture when sequential metabolic reactions are compartmentalized into two distinct species. Coupled with Luedeking-Piret and Michaelis-Menten equations, accumulation of metabolic intermediates in one species and formation of end-product in another species could be derived and assessed. We discovered that parasitism consortia disfavor the bioconversion of intermediate to final product; and commensalism consortia could efficiently convert metabolic intermediates to final product and maintain metabolic homeostasis with a broad range of operational conditions (i.e., dilution rates); whereas cooperative consortia leads to highly nonlinear pattern of precursor accumulation and end-product formation. The underlying dynamics and emergent properties of microbial consortia may provide critical knowledge for us to understand ecological coexisting states, engineer efficient bioconversion process, deliver effective gut therapeutics as well as elucidate probiotic-pathogen or tumor-host interactions in general.

Indexed as

Metabolic EngineeringMicrobial InteractionsMicrobiotaModels, BiologicalCoculture Techniquescommensalismcompetitioncooperationdynamic analysismicrobial consortiasocial interactions

Identifiers

PMID32915459
PMCPMC7821011

What OpenQuestion holds

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Registered trials

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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.