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Epistasis and evolution: recent advances and an outlook for prediction.
Johnson, Milo S; Reddy, Gautam; Desai, Michael M.
Afiliação
  • Johnson MS; Department of Integrative Biology, University of California, Berkeley, CA, USA.
  • Reddy G; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Desai MM; Physics & Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA, USA.
BMC Biol ; 21(1): 120, 2023 05 24.
Article em En | MEDLINE | ID: mdl-37226182
ABSTRACT
As organisms evolve, the effects of mutations change as a result of epistatic interactions with other mutations accumulated along the line of descent. This can lead to shifts in adaptability or robustness that ultimately shape subsequent evolution. Here, we review recent advances in measuring, modeling, and predicting epistasis along evolutionary trajectories, both in microbial cells and single proteins. We focus on simple patterns of global epistasis that emerge in this data, in which the effects of mutations can be predicted by a small number of variables. The emergence of these patterns offers promise for efforts to model epistasis and predict evolution.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epistasia Genética Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BMC Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epistasia Genética Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BMC Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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