| BMC Biology | |
| Epistasis and evolution: recent advances and an outlook for prediction | |
| Review | |
| Milo S. Johnson1  Michael M. Desai2  Gautam Reddy3  | |
| [1] Department of Integrative Biology, University of California, Berkeley, CA, USA;Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA;Department of Organismic and Evolutionary Biology and Department of Physics, Harvard University, Cambridge, MA, USA;Physics & Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA, USA;Center for Brain Science, Harvard University, Cambridge, MA, USA; | |
| 关键词: Macroscopic epistasis; Microscopic epistasis; Adaptability; Robustness; Evolvability; | |
| DOI : 10.1186/s12915-023-01585-3 | |
| received in 2023-01-06, accepted in 2023-03-30, 发布年份 2023 | |
| 来源: Springer | |
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【 摘 要 】
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.
【 授权许可】
CC BY
© The Author(s) 2023
【 预 览 】
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| RO202308150019003ZK.pdf | 2848KB | ||
| MediaObjects/12888_2023_4830_MOESM1_ESM.docx | 36KB | Other | |
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