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Related Experiment Video

Updated: Nov 5, 2025

Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
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Engineering complex communities by directed evolution.

Chang-Yu Chang1,2, Jean C C Vila1,2, Madeline Bender1,2

  • 1Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.

Nature Ecology & Evolution
|May 14, 2021
PubMed
Summary
This summary is machine-generated.

Directed evolution can engineer microbial ecosystems. A new modeling framework shows screening mature communities outperforms current methods, enabling the design of stable, diverse microbial consortia.

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Area of Science:

  • Microbial Ecology
  • Synthetic Biology
  • Evolutionary Biology

Background:

  • Directed evolution is a powerful tool for engineering biological systems at the organismal level.
  • Artificial selection of microbial ecosystems has shown limited success due to a poor theoretical understanding of ecosystem-level evolution.
  • Efficient methods for directing the evolution of microbial communities are lacking.

Purpose of the Study:

  • To develop a flexible modeling framework for systematically evaluating artificial selection strategies on microbial communities.
  • To identify optimal methods for the directed evolution of microbial ecosystems.
  • To investigate the design principles for creating large, diverse, and stable microbial consortia.

Main Methods:

  • Development of a flexible in silico modeling framework.
  • Artificial selection of hundreds of microbial metacommunities under identical conditions.
  • Systematic probing of various selection strategies and community compositions.

Main Results:

  • Screening of sufficiently mature communities significantly outperforms traditional breeding methods.
  • Alternative directed evolution strategies, especially when combined, are effective for top-down engineering.
  • The study demonstrates the navigation of an ecological structure-function landscape.

Conclusions:

  • Directed evolution is a viable approach for engineering microbial ecosystems.
  • Mature community screening offers a more efficient strategy than current methods.
  • This work provides a framework for designing dynamically stable and ecologically resilient microbial consortia with desired attributes.