Evidence map›Paper›PMID 33986540›Full record

ArticleNature ecology & evolution2021

Engineering complex communities by directed evolution.

Chang-Yu Chang, Jean C C Vila, Madeline Bender, Richard Li, Madeleine C Mankowski, Molly Bassette, Julia Borden, Stefan Golfier, Paul Gerald L Sanchez, Rachel Waymack and 5 more

Open access · greenAbstract read
In one paragraph

Article in Nature ecology & evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
13.9field-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

51 citing papers in PubMed, 104 citations in OpenAlex.

  1. Article
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  3. Microbial biotechnology meets ecological theory: a unified framework to design industrial microbial consortia.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
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  15. The evolution of autonomy from two cooperative specialists in fluctuating environments.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 2 countries.

Chang-Yu Chang *Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-3659-5256
Jean C C Vila *Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.
Madeline BenderDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-4515-6805
Richard LiDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-3009-408X
Madeleine C MankowskiDepartment of Immunobiology and Department of Laboratory Medicine, Yale University, New Haven, CT, USA.
Molly BassetteBiomedical Sciences Graduate Program, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-8658-8148
Julia BordenDepartment of Molecular & Cellular Biology, University of California Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-7275-4894
Stefan GolfierMax Planck Institute of Molecular Cell Biology and Genetics, and Max Planck Institute for the Physics of Complex Systems, Dresden, Germany.
Paul Gerald L SanchezEuropean Molecular Biology Laboratory (EMBL), Developmental Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-6213-8927
Rachel WaymackDepartment of Developmental and Cell Biology, University of California Irvine, Irvine, CA, USA.ORCID http://orcid.org/0000-0002-8324-0282
Xinwen ZhuDepartment of Biomedical Engineering and the Biological Design Center, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4385-4060
Juan Diaz-ColungaDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0001-8995-4529
Sylvie EstrelaDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-1946-3657
Maria Rebolleda-GomezDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-3592-4479
Alvaro SanchezDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA. alvaro.sanchez@yale.edu.ORCID http://orcid.org/0000-0002-2292-5608
Yale University · USBoston University · USEuropean Molecular Biology Laboratory · DEMax Planck Institute for the Physics of Complex Systems · DEUniversity of California, Berkeley · USUniversity of California, Irvine · USUniversity of California, San Francisco · US

Funding

Predicting the assembly and function of microbial consortia: a systems biology approachR35GM133467 · NIGMS · YALE UNIVERSITY · PI SANCHEZ DE ANDRES, ALVARO · 2019 to 2021
$1.3M
NIGMS NIH HHS R35 GM133467
6 · The paper itself

Abstract

Directed evolution has been used for decades to engineer biological systems at or below the organismal level. Above the organismal level, a small number of studies have attempted to artificially select microbial ecosystems, with uneven and generally modest success. Our theoretical understanding of artificial ecosystem selection is limited, particularly for large assemblages of asexual organisms, and we know little about designing efficient methods to direct their evolution. Here, we have developed a flexible modelling framework that allows us to systematically probe any arbitrary selection strategy on any arbitrary set of communities and selected functions. By artificially selecting hundreds of in silico microbial metacommunities under identical conditions, we first show that the main breeding methods used to date, which do not necessarily let communities reach their ecological equilibrium, are outperformed by a simple screen of sufficiently mature communities. We then identify a range of alternative directed evolution strategies that, particularly when applied in combination, are well suited for the top-down engineering of large, diverse and stable microbial consortia. Our results emphasize that directed evolution allows an ecological structure-function landscape to be navigated in search of dynamically stable and ecologically resilient communities with desired quantitative attributes.

Indexed as

Ecosystem

Identifiers

PMID33986540
PMCPMC8263491
OpenAlexW3163850423

What OpenQuestion holds

Textmetadata
LicenceTDM
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.