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Evol Appl. 2019 Nov 24;13(1):161-175. doi: 10.1111/eva.12883. eCollection 2020 Jan.

Genomic assessment of local adaptation in dwarf birch to inform assisted gene flow.

Evolutionary applications

James S Borrell, Jasmin Zohren, Richard A Nichols, Richard J A Buggs

Affiliations

  1. Jodrell Laboratory Royal Botanic Gardens, Kew Surrey UK.
  2. Sex Chromosome Biology Lab The Francis Crick Institute London UK.
  3. School of Biological and Chemical Sciences Queen Mary University of London London UK.

PMID: 31892950 PMCID: PMC6935589 DOI: 10.1111/eva.12883

Abstract

When populations of a rare species are small, isolated and declining under climate change, some populations may become locally maladapted. Detecting this maladaptation may allow effective rapid conservation interventions, even if based on incomplete knowledge. Population maladaptation may be estimated by finding genome-environment associations (GEA) between allele frequencies and environmental variables across a local species range, and identifying populations whose allele frequencies do not fit with these trends. We can then design assisted gene flow strategies for maladapted populations, to adjust their allele frequencies, entailing lower levels of intervention than with undirected conservation action. Here, we investigate this strategy in Scottish populations of the montane plant dwarf birch (

© 2019 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Keywords: adaptive potential; assisted gene flow; climate change; conservation genetics; environmental association analysis; evolutionary conservation; landscape genomics; provenance matching

Conflict of interest statement

None declared.

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