Evidence map›Paper›PMID 34784924›Full record

ReviewMicrobial cell factories2021

Engineered microbial consortia: strategies and applications.

Katherine E Duncker, Zachary A Holmes, Lingchong You

Abstract readReview
In one paragraph

Review in Microbial cell factories, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
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  11. Hydrocarbon degradation and genomic insights ofFrontiers in microbiology · 2026
    Article
  12. Article
  13. Laser-assisted microbial culturomics.Nature communications · 2025
    Article
  14. Synergistic Effects ofPlants (Basel, Switzerland) · 2025
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  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.

Katherine E Duncker *Department of Biomedical Engineering, Duke University, Durham, NC, 27705, USA.
Zachary A Holmes *Department of Biomedical Engineering, Duke University, Durham, NC, 27705, USA.
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, NC, 27705, USA. you@duke.edu.ORCID http://orcid.org/0000-0003-3725-4007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many applications of microbial synthetic biology, such as metabolic engineering and biocomputing, are increasing in design complexity. Implementing complex tasks in single populations can be a challenge because large genetic circuits can be burdensome and difficult to optimize. To overcome these limitations, microbial consortia can be engineered to distribute complex tasks among multiple populations. Recent studies have made substantial progress in programming microbial consortia for both basic understanding and potential applications. Microbial consortia have been designed through diverse strategies, including programming mutualistic interactions, using programmed population control to prevent overgrowth of individual populations, and spatial segregation to reduce competition. Here, we highlight the role of microbial consortia in the advances of metabolic engineering, biofilm production for engineered living materials, biocomputing, and biosensing. Additionally, we discuss the challenges for future research in microbial consortia.

Indexed as

BiofilmsBiosensing TechniquesMicrobial ConsortiaIndustrial MicrobiologyMetabolic EngineeringSynthetic Biology

Identifiers

PMID34784924
PMCPMC8597270

What OpenQuestion holds

Textmetadata
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.