Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation
Building a genotype-phenotype-fitness map of adaptation is a central goal in evolutionary biology. It is difficult even when adaptive mutations are known because it is hard to enumerate which phenotypes make these mutations adaptive. We address this problem by first quantifying how the fitness of hu...
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doaj-14e9f3caaa7e4aa3a620e28a7076eb2f2021-05-05T21:47:05ZengeLife Sciences Publications LtdeLife2050-084X2020-12-01910.7554/eLife.61271Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptationGrant Kinsler0https://orcid.org/0000-0001-8308-4665Kerry Geiler-Samerotte1https://orcid.org/0000-0003-4666-2192Dmitri A Petrov2https://orcid.org/0000-0002-3664-9130Department of Biology, Stanford University, Stanford, United StatesDepartment of Biology, Stanford University, Stanford, United States; Center for Mechanisms of Evolution, School of Life Sciences, Arizona State University, Tempe, United StatesDepartment of Biology, Stanford University, Stanford, United StatesBuilding a genotype-phenotype-fitness map of adaptation is a central goal in evolutionary biology. It is difficult even when adaptive mutations are known because it is hard to enumerate which phenotypes make these mutations adaptive. We address this problem by first quantifying how the fitness of hundreds of adaptive yeast mutants responds to subtle environmental shifts. We then model the number of phenotypes these mutations collectively influence by decomposing these patterns of fitness variation. We find that a small number of inferred phenotypes can predict fitness of the adaptive mutations near their original glucose-limited evolution condition. Importantly, inferred phenotypes that matter little to fitness at or near the evolution condition can matter strongly in distant environments. This suggests that adaptive mutations are locally modular — affecting a small number of phenotypes that matter to fitness in the environment where they evolved — yet globally pleiotropic — affecting additional phenotypes that may reduce or improve fitness in new environments.https://elifesciences.org/articles/61271adaptationpleiotropymodularity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Grant Kinsler Kerry Geiler-Samerotte Dmitri A Petrov |
spellingShingle |
Grant Kinsler Kerry Geiler-Samerotte Dmitri A Petrov Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation eLife adaptation pleiotropy modularity |
author_facet |
Grant Kinsler Kerry Geiler-Samerotte Dmitri A Petrov |
author_sort |
Grant Kinsler |
title |
Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation |
title_short |
Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation |
title_full |
Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation |
title_fullStr |
Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation |
title_full_unstemmed |
Fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation |
title_sort |
fitness variation across subtle environmental perturbations reveals local modularity and global pleiotropy of adaptation |
publisher |
eLife Sciences Publications Ltd |
series |
eLife |
issn |
2050-084X |
publishDate |
2020-12-01 |
description |
Building a genotype-phenotype-fitness map of adaptation is a central goal in evolutionary biology. It is difficult even when adaptive mutations are known because it is hard to enumerate which phenotypes make these mutations adaptive. We address this problem by first quantifying how the fitness of hundreds of adaptive yeast mutants responds to subtle environmental shifts. We then model the number of phenotypes these mutations collectively influence by decomposing these patterns of fitness variation. We find that a small number of inferred phenotypes can predict fitness of the adaptive mutations near their original glucose-limited evolution condition. Importantly, inferred phenotypes that matter little to fitness at or near the evolution condition can matter strongly in distant environments. This suggests that adaptive mutations are locally modular — affecting a small number of phenotypes that matter to fitness in the environment where they evolved — yet globally pleiotropic — affecting additional phenotypes that may reduce or improve fitness in new environments. |
topic |
adaptation pleiotropy modularity |
url |
https://elifesciences.org/articles/61271 |
work_keys_str_mv |
AT grantkinsler fitnessvariationacrosssubtleenvironmentalperturbationsrevealslocalmodularityandglobalpleiotropyofadaptation AT kerrygeilersamerotte fitnessvariationacrosssubtleenvironmentalperturbationsrevealslocalmodularityandglobalpleiotropyofadaptation AT dmitriapetrov fitnessvariationacrosssubtleenvironmentalperturbationsrevealslocalmodularityandglobalpleiotropyofadaptation |
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1721457836899172352 |