Data from: Transcriptome-wide polymorphisms of red abalone (Haliotis rufescens) reveal patterns of gene flow and local adaptation

Global climate change is projected to accelerate during the next century,
altering oceanic patterns in temperature, pH and oxygen concentrations.
Documenting patterns of genetic adaptation to these variables in locations
that currently experience geographic variation in them is an important
tool in understanding the potential for natural selection to allow
populations to adapt as climate change proceeds. We sequenced the mantle
transcriptome of 39 red abalone (Haliotis rufescens) individuals from
three regions (Monterey Bay, Sonoma, north of Cape Mendocino) distinct in
temperature, aragonite saturation, exposure to hypoxia and disease
pressure along the California coast. Among 1.17 × 10^6 Single Nucleotide
Polymorphisms (SNPs) identified in this study (1.37% of the
transcriptome), 21 579 could be genotyped for all individuals. A principal
components analysis concluded that the vast majority of SNPs show no
population structure from Monterey, California to the Oregon border, in
corroboration with several previous studies. In contrast, an F_ST outlier
analysis indicated 691 SNPs as exhibiting significantly higher than
expected differentiation (experiment-wide P < 0.05). From these, it
was possible to identify 163 genes through BLAST annotation, 34 of which
contained more than one outlier SNP. A large number of these genes are
involved in biomineralization, energy metabolism, heat-, disease- or
hypoxia-tolerance. These genes are candidate loci for spatial adaptation
to geographic variation that is likely to increase in the future.