Elevated temperature increases genome-wide selection on de novo mutations
Author(s) -
David Berger,
Josefine Stångberg,
Julian Baur,
Richard J. Walters
Publication year - 2021
Publication title -
proceedings of the royal society b biological sciences
Language(s) - English
Resource type - Journals
eISSN - 1471-2954
pISSN - 0962-8452
DOI - 10.1098/rspb.2020.3094
Subject(s) - biology , selection (genetic algorithm) , natural selection , genetic variation , adaptation (eye) , evolutionary biology , genetics , genome , balancing selection , mutation accumulation , stabilizing selection , directional selection , genetic diversity , gene , population , artificial intelligence , neuroscience , computer science , demography , sociology
Adaptation in new environments depends on the amount of genetic variation available for evolution, and the efficacy by which natural selection discriminates among this variation. However, whether some ecological factors reveal more genetic variation, or impose stronger selection pressures than others, is typically not known. Here, we apply the enzyme kinetic theory to show that rising global temperatures are predicted to intensify natural selection throughout the genome by increasing the effects of DNA sequence variation on protein stability. We test this prediction by (i) estimating temperature-dependent fitness effects of induced mutations in seed beetles adapted to ancestral or elevated temperature, and (ii) calculate 100 paired selection estimates on mutations in benign versus stressful environments from unicellular and multicellular organisms. Environmental stressper se did not increase mean selection on de novo mutation, suggesting that the cost of adaptation does not generally increase in new ecological settings to which the organism is maladapted. However, elevated temperature increased the mean strength of selection on genome-wide polymorphism, signified by increases in both mutation load and mutational variance in fitness. These results have important implications for genetic diversity gradients and the rate and repeatability of evolution under climate change.
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