Climate change is likely to alter the selective pressures that drive
shifts in adaptive variation. For species with long life histories and
low dispersion capacities, rapid climate change could impede the
migration of beneficial alleles and their ability to track changing
environments. Disentangling the processes of adaptive genetic variation
in tree species has important implications for conservation and forest
management. In this study, we used landscape genomic approaches and
phenotypic data from range-wide sampling to investigate the adaptive
genetic and phenotypic variation of the oak Quercus longinux,
which is endemic in Taiwan. Among 2,000 single-nucleotide polymorphisms
(SNPs) generated by double-digested restriction-site associated DNA
(ddRAD) sequencing from 205 individuals, 35 drought- and
freeze-resistance genes exhibited signatures of natural selection driven
by various environmental pressures. GradientForest and redundancy
analysis showed that these putative adaptive SNPs had elevated
associations with climate and soil variations. The proportion of joint
effects of demography, geology, and environments was high, indicating
covariation of environmental gradients and colonization history.
Compared with other populations, Q. longinux var. kuoi, a
unique variety limited to southern Taiwan, exhibited substantial
phenotypic, ecological, and adaptive divergence. Finally, we used the
environmentally associated SNPs to estimate the genetic offset for each
individual under different climate change scenarios, which revealed that
edge populations in northern and southeastern Taiwan may be threatened
by rising temperatures and reallocation of precipitation. Our study shed
light on the pattern of environment-driven adaptation and provides
prediction for future vulnerability of island oaks in subtropical and
tropical regions.
Keywords
climate change, genetic offset, landscape genomics, local adaptation,
natural selection, Quercus