Evidence map›Paper›PMID 26967105›Full record

ArticleThe ISME journal2016

Engineering microbial consortia for controllable outputs.

Stephen R Lindemann, Hans C Bernstein, Hyun-Seob Song, Jim K Fredrickson, Matthew W Fields, Wenying Shou, David R Johnson, Alexander S Beliaev

Open access · hybridAbstract read
In one paragraph

Article in The ISME journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed
21.9field-weighted citation impact, top 1% of its field
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

141 citing papers in PubMed, 348 citations in OpenAlex.

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  13. DNA Origami and Its Applications in Synthetic Biology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  14. Review
  15. Article
  16. Laser-assisted microbial culturomics.Nature communications · 2025
    Article
  17. Review
  18. Article
  19. Article
  20. Article

81 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

8 authors at 4 institutions in 2 countries.

Stephen R LindemannBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Hans C BernsteinBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.ORCID 0000-0003-2913-7708
Hyun-Seob SongBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Jim K FredricksonBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Matthew W FieldsCenter for Biofilm Engineering, Montana State University, Bozeman, MT, USA.ORCID 0000-0001-9053-1849
Wenying ShouDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
David R JohnsonDepartment of Environmental Systems Science, Swiss Federal Institute of Technology (ETHZ), Zürich, Switzerland.
Alexander S BeliaevBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Pacific Northwest National Laboratory · USETH Zurich · CHFred Hutch Cancer Center · USMontana State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much research has been invested into engineering microorganisms to perform desired biotransformations; nonetheless, these efforts frequently fall short of expected results due to the unforeseen effects of biofeedback regulation and functional incompatibility. In nature, metabolic function is compartmentalized into diverse organisms assembled into robust consortia, in which the division of labor is thought to lead to increased community efficiency and productivity. Here we consider whether and how consortia can be designed to perform bioprocesses of interest beyond the metabolic flexibility limitations of a single organism. Advances in post-genomic analysis of microbial consortia and application of high-resolution global measurements now offer the promise of systems-level understanding of how microbial consortia adapt to changes in environmental variables and inputs of carbon and energy. We argue that, when combined with appropriate modeling frameworks, systems-level knowledge can markedly improve our ability to predict the fate and functioning of consortia. Here we articulate our collective perspective on the current and future state of microbial community engineering and control while placing specific emphasis on ecological principles that promote control over community function and emergent properties.

Indexed as

GenomicsMicrobial ConsortiaBioengineering

Identifiers

PMID26967105
PMCPMC4989317
OpenAlexW2293835680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.