Applying landscape genomic tools to forest management and restoration of Hawaiian koa (Acacia koa ) in a changing environment

Evolutionary Applications
Paul F GuggerJessica W Wright

Abstract

Identifying and quantifying the importance of environmental variables in structuring population genetic variation can help inform management decisions for conservation, restoration, or reforestation purposes, in both current and future environmental conditions. Landscape genomics offers a powerful approach for understanding the environmental factors that currently associate with genetic variation, and given those associations, where populations may be most vulnerable under future environmental change. Here, we applied genotyping by sequencing to generate over 11,000 single nucleotide polymorphisms from 311 trees and then used nonlinear, multivariate environmental association methods to examine spatial genetic structure and its association with environmental variation in an ecologically and economically important tree species endemic to Hawaii, Acacia koa. Admixture and principal components analyses showed that trees from different islands are genetically distinct in general, with the exception of some genotypes that match other islands, likely as the result of recent translocations. Gradient forest and generalized dissimilarity models both revealed a strong association between genetic structure and mean annual rainfall. Utilizi...Continue Reading

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Citations

Jun 22, 2019·Annals of Botany·Kyle M E RoseDouglass F Jacobs
Jan 24, 2021·Journal of Evolutionary Biology·Mathieu VanhoveOctávio S Paulo
May 22, 2021·Molecular Ecology·Sofie VrankenMelinda Ann Coleman
Sep 4, 2020·Molecular Ecology·Marja Mirjam Mostert-O'NeillAlexander Andrew Myburg

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Methods Mentioned

BETA
genotyping
Illumina sequencing
PCR
DNA assay
PCA

Software Mentioned

process
radtags
cstacks
R package “ gdm ”
PLINK
R
stacks
ArcGIS
gradientForest

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