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- W4309168960 abstract "Detecting the extrinsic selective pressures shaping genomic variation is critical for a better understanding of adaptation and for forecasting evolutionary responses of natural populations to changing environmental conditions. With increasing availability of geo-referenced environmental data, landscape genomics provides unprecedented insights into how genomic variation and underlying gene functions affect traits potentially under selection. Yet, the robustness of genotype-environment associations used in landscape genomics remains tempered due to various limitations, including the characteristics of environmental data used, sampling designs employed, and statistical frameworks applied. Here, we argue that using complementary or new environmental data sources and well-informed sampling designs may help improve the detection of selective pressures underlying patterns of local adaptation in various organisms and environments." @default.
- W4309168960 created "2022-11-24" @default.
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- W4309168960 date "2023-03-01" @default.
- W4309168960 modified "2023-10-05" @default.
- W4309168960 title "Re-thinking the environment in landscape genomics" @default.
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- W4309168960 doi "https://doi.org/10.1016/j.tree.2022.10.010" @default.
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