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Directed Evolution of Microbial Communities

Overview
Publisher Annual Reviews
Specialty Biophysics
Date 2021 Mar 1
PMID 33646814
Citations 27
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Abstract

Directed evolution is a form of artificial selection that has been used for decades to find biomolecules and organisms with new or enhanced functional traits. Directed evolution can be conceptualized as a guided exploration of the genotype-phenotype map, where genetic variants with desirable phenotypes are first selected and then mutagenized to search the genotype space for an even better mutant. In recent years, the idea of applying artificial selection to microbial communities has gained momentum. In this article, we review the main limitations of artificial selection when applied to large and diverse collectives of asexually dividing microbes and discuss how the tools of directed evolution may be deployed to engineer communities from the top down. We conceptualize directed evolution of microbial communities as a guided exploration of an ecological structure-function landscape and propose practical guidelines for navigating these ecological landscapes.

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References
1.
Barve A, Wagner A . A latent capacity for evolutionary innovation through exaptation in metabolic systems. Nature. 2013; 500(7461):203-6. DOI: 10.1038/nature12301. View

2.
Rauch J, Kondev J, Sanchez A . Cooperators trade off ecological resilience and evolutionary stability in public goods games. J R Soc Interface. 2017; 14(127). PMC: 5332582. DOI: 10.1098/rsif.2016.0967. View

3.
Blouin M, Karimi B, Mathieu J, Lerch T . Levels and limits in artificial selection of communities. Ecol Lett. 2015; 18(10):1040-8. DOI: 10.1111/ele.12486. View

4.
Ross-Ibarra J, Morrell P, Gaut B . Plant domestication, a unique opportunity to identify the genetic basis of adaptation. Proc Natl Acad Sci U S A. 2007; 104 Suppl 1:8641-8. PMC: 1876441. DOI: 10.1073/pnas.0700643104. View

5.
Gore J, Youk H, van Oudenaarden A . Snowdrift game dynamics and facultative cheating in yeast. Nature. 2009; 459(7244):253-6. PMC: 2888597. DOI: 10.1038/nature07921. View