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- W3100977908 abstract "ABSTRACT Adaptation in new environments depends on the amount and type of genetic variation available for evolution, and the efficacy by which natural selection discriminates among this variation to favour the survival of the fittest. However, whether some environments systematically reveal more genetic variation in fitness, or impose stronger selection pressures than others, is typically not known. Here, we apply enzyme kinetic theory to show that rising global temperatures are predicted to intensify natural selection systematically throughout the genome by increasing the effects of DNA sequence variation on protein stability. We tested this prediction by i) estimating temperature-dependent fitness effects of induced random mutations in seed beetles adapted to ancestral or warm temperature, and ii) calculating 100 paired selection estimates on mutations in benign versus stressful environments from a diverse set of unicellular and multicellular organisms. Environmental stress per se did not increase the mean strength of selection on de novo mutation, suggesting that the cost of adaptation does not generally increase in new environments 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 at elevated temperature. The theoretical predictions and empirical data suggest that this increase may correspond to a doubling of genome-wide selection for a predicted 2-4°C climate warming scenario in ectothermic organism living at temperatures close to their thermal optimum. These results have important implications for global patterns of genetic diversity and the rate and repeatability of evolution under climate change. Impact Statement Natural environments are constantly changing so organisms must also change to persist. Whether they can do so ultimately depends upon the reservoir of raw genetic material available for evolution, and the efficacy by which natural selection discriminates among this variation to favour the survival of the fittest. Here, the biochemical properties of molecules and proteins that underpin the link between genotype and phenotype can exert a major influence over how the physical environment affects the expression of phenotypes and the fitness consequences of DNA sequence polymorphism. Yet, the constraints set by these molecular features are often neglected within eco-evolutionary theory trying to predict evolution in new environments. Here we combine predictions from existing biophysical models of protein folding and enzyme kinetics with experimental data from ectothermic organisms across the tree of life, to show that rising global temperatures are predicted to increase the mean strength of selection on DNA sequence variation in cold-blooded organisms. We also show that environmental stress per se generally does not increase the mean strength of selection on new mutations, suggesting that genome-wide natural selection is not stronger in new environments to which an organism is maladapted. Theoretical predictions and data suggest that an expected climate warming scenario of a 2-4°C temperature raise within the forthcoming century will result in roughly a doubling of genome-wide selection for organisms living close to their thermal optima. However, our results also point to substantial variability in the temperature-dependence of selection on different proteins within and between organisms, suggesting scope for compensatory adaptation to shape this relationship. These results bear witness to and extend the universal temperature dependence of biological rates and have important implications for global patterns of genetic diversity and the rate and repeatability of genome evolution under environmental change." @default.
- W3100977908 created "2020-11-23" @default.
- W3100977908 creator A5006030544 @default.
- W3100977908 creator A5006823603 @default.
- W3100977908 creator A5026766080 @default.
- W3100977908 creator A5070009483 @default.
- W3100977908 date "2018-02-19" @default.
- W3100977908 modified "2023-09-24" @default.
- W3100977908 title "Elevated temperature increases genome-wide selection on de novo mutations" @default.
- W3100977908 cites W1492476727 @default.
- W3100977908 cites W1501071779 @default.
- W3100977908 cites W1553347953 @default.
- W3100977908 cites W1561689556 @default.
- W3100977908 cites W1902200479 @default.
- W3100977908 cites W1966387988 @default.
- W3100977908 cites W1974608886 @default.
- W3100977908 cites W1978697143 @default.
- W3100977908 cites W1983878013 @default.
- W3100977908 cites W1988625445 @default.
- W3100977908 cites W1992973689 @default.
- W3100977908 cites W1993297877 @default.
- W3100977908 cites W1993351732 @default.
- W3100977908 cites W2002923344 @default.
- W3100977908 cites W2004778468 @default.
- W3100977908 cites W2006585968 @default.
- W3100977908 cites W2006841412 @default.
- W3100977908 cites W2008951609 @default.
- W3100977908 cites W2021928977 @default.
- W3100977908 cites W2022789570 @default.
- W3100977908 cites W2024120506 @default.
- W3100977908 cites W2025340064 @default.
- W3100977908 cites W2028075953 @default.
- W3100977908 cites W2029423415 @default.
- W3100977908 cites W2039790548 @default.
- W3100977908 cites W2044378614 @default.
- W3100977908 cites W2051846725 @default.
- W3100977908 cites W2053342790 @default.
- W3100977908 cites W2053817355 @default.
- W3100977908 cites W2076712945 @default.
- W3100977908 cites W2078459473 @default.
- W3100977908 cites W2085683389 @default.
- W3100977908 cites W2091860339 @default.
- W3100977908 cites W2092189458 @default.
- W3100977908 cites W2095018223 @default.
- W3100977908 cites W2103055881 @default.
- W3100977908 cites W2105557836 @default.
- W3100977908 cites W2106756635 @default.
- W3100977908 cites W2109441358 @default.
- W3100977908 cites W2111878373 @default.
- W3100977908 cites W2111884469 @default.
- W3100977908 cites W2112985126 @default.
- W3100977908 cites W2114675905 @default.
- W3100977908 cites W2114795157 @default.
- W3100977908 cites W2115148114 @default.
- W3100977908 cites W2118427927 @default.
- W3100977908 cites W2119740767 @default.
- W3100977908 cites W2122485236 @default.
- W3100977908 cites W2122825543 @default.
- W3100977908 cites W2131544152 @default.
- W3100977908 cites W2133917399 @default.
- W3100977908 cites W2140374809 @default.
- W3100977908 cites W2142853164 @default.
- W3100977908 cites W2145317354 @default.
- W3100977908 cites W2145932946 @default.
- W3100977908 cites W2147544980 @default.
- W3100977908 cites W2148569454 @default.
- W3100977908 cites W2159631596 @default.
- W3100977908 cites W2159707462 @default.
- W3100977908 cites W2162778402 @default.
- W3100977908 cites W2166603832 @default.
- W3100977908 cites W2171501215 @default.
- W3100977908 cites W2252902198 @default.
- W3100977908 cites W2547075996 @default.
- W3100977908 cites W2552319389 @default.
- W3100977908 cites W2571539543 @default.
- W3100977908 cites W2586999272 @default.
- W3100977908 cites W2590059905 @default.
- W3100977908 cites W2592289006 @default.
- W3100977908 cites W2740277306 @default.
- W3100977908 cites W2767216879 @default.
- W3100977908 cites W2793814349 @default.
- W3100977908 cites W2888828006 @default.
- W3100977908 cites W2936786432 @default.
- W3100977908 cites W2949389269 @default.
- W3100977908 cites W2950007043 @default.
- W3100977908 cites W2950853082 @default.
- W3100977908 cites W3012079654 @default.
- W3100977908 cites W4230210001 @default.
- W3100977908 cites W4235618707 @default.
- W3100977908 cites W4237754067 @default.
- W3100977908 cites W4245550089 @default.
- W3100977908 doi "https://doi.org/10.1101/268011" @default.
- W3100977908 hasPublicationYear "2018" @default.
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