Seascape genomics of red abalone: Limited range-wide population
structure and local adaptation
Abstract
Characterizing patterns of genetic diversity including evidence of local
adaptation is relevant for predicting and managing species recovering
from over-exploitation in the face of climate change. Red abalone
(Haliotis rufescens) is a species of conservation concern due to
recent declines from over-harvesting, disease, and climate change,
resulting in the closure of commercial and recreational fisheries. We
hypothesized that the environmental mosaic that defines nearshore
habitats in the California current ecosystem, including variable pH and
temperature, has enriched some regions for locally-adapted genotypes
that may be important for species persistence in changing environments.
Using whole genome re-sequencing data from 23 populations spanning their
entire range (southern Oregon, USA, to Baja California, MEX) we
investigated population connectivity and local adaptation to inform
management strategies. We discovered high genetic diversity that is
shared within and among populations, suggesting high historical
range-wide gene flow. Using multiple layers of environmental metadata,
we tested for genotype-environment associations that would reveal local
adaptation. We found little evidence for large selective sweeps between
populations that occupy local habitats that vary by pH, strength of
upwelling, chlorophyll, salinity, and sea surface temperature. While
related physiological studies reveal evidence of local adaptation to pH
in red abalone, our data suggest that the underlying genetic
architecture may be polygenic and therefore difficult to detect from
traditional genome scans. Overall, red abalone harbor a massive
reservoir of genetic diversity that may be important for future
adaptation, but adaptive recovery may be limited by current demographic
decline. Given the high genetic connectivity across their range,
state-mandated regulatory actions would be most effective if aligned
across jurisdictional boundaries (i.e., Mexico, California, and Oregon).