Evidence map›Paper›PMID 32732991›Full record

ArticleNature communications2020

Synthetic microbial communities of heterotrophs and phototrophs facilitate sustainable growth.

Cristal Zuñiga, Tingting Li, Michael T Guarnieri, Jackson P Jenkins, Chien-Ting Li, Kerem Bingol, Young-Mo Kim, Michael J Betenbaugh, Karsten Zengler

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
  2. Predicting Strain-Specific Metabolic Capabilities in the GenusComputational and structural biotechnology journal · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. A new era of synthetic biology-microbial community design.Synthetic biology (Oxford, England) · 2024
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Remediation of metals and plastic from e-waste by iron mine indigenous acidophilic bacteria.Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA · 2023
    Article
  20. Review
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

9 authors.

Cristal ZuñigaDepartment of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0760, USA.
Tingting LiDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA.
Michael T GuarnieriNational Bioenergy Center, National Renewable Energy Laboratory, Golden, CO, 80401, USA.
Jackson P JenkinsDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA.
Chien-Ting LiDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA.
Kerem BingolEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Young-Mo KimEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0002-8972-7593
Michael J BetenbaughDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA.
Karsten ZenglerDepartment of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0760, USA. kzengler@ucsd.edu.ORCID http://orcid.org/0000-0002-8062-3296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities comprised of phototrophs and heterotrophs hold great promise for sustainable biotechnology. Successful application of these communities relies on the selection of appropriate partners. Here we construct four community metabolic models to guide strain selection, pairing phototrophic, sucrose-secreting Synechococcus elongatus with heterotrophic Escherichia coli K-12, Escherichia coli W, Yarrowia lipolytica, or Bacillus subtilis. Model simulations reveae metabolic exchanges that sustain the heterotrophs in minimal media devoid of any organic carbon source, pointing to S. elongatus-E. coli K-12 as the most active community. Experimental validation of flux predictions for this pair confirms metabolic interactions and potential production capabilities. Synthetic communities bypass member-specific metabolic bottlenecks (e.g. histidine- and transport-related reactions) and compensate for lethal genetic traits, achieving up to 27% recovery from lethal knockouts. The study provides a robust modelling framework for the rational design of synthetic communities with optimized growth sustainability using phototrophic partners.

Indexed as

AldehydesBacillus subtilisBioreactorsEscherichia coliEthanolFormaldehydeHeterotrophic ProcessesMethanolMicrobiotaModels, BiologicalPhototrophic ProcessesSuccinic AcidSynechococcusYarrowiaAldehydesbutyraldehydeEthanolFormaldehydeMethanolSuccinic Acid

Identifiers

PMID32732991
PMCPMC7393147

What OpenQuestion holds

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LicenceCC BY
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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.