Re-thinking the environment in landscape genomics


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Date

2023-03

Publication Type

Review Article

ETH Bibliography

yes

Citations

Altmetric

Data

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.

Publication status

published

Editor

Book title

Volume

38 (3)

Pages / Article No.

261 - 274

Publisher

Cell Press

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Environmental Data; Genotype–environment associations; Geo-referenced databases; Sampling design; Spatial and temporal scales

Organisational unit

09856 - Holderegger, Rolf / Holderegger, Rolf check_circle

Notes

Funding

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