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Title: Direct Measurement of the Mutation Rate and Its Evolutionary Consequences in a Critically Endangered Mollusk
Abstract The rate at which mutations arise is a fundamental parameter of biology. Despite progress in measuring germline mutation rates across diverse taxa, such estimates are missing for much of Earth's biodiversity. Here, we present the first estimate of a germline mutation rate from the phylum Mollusca. We sequenced three pedigreed families of the white abalone Haliotis sorenseni, a long-lived, large-bodied, and critically endangered mollusk, and estimated a de novo mutation rate of 8.60 × 10−9 single nucleotide mutations per site per generation. This mutation rate is similar to rates measured in vertebrates with comparable generation times and longevity to abalone, and higher than mutation rates measured in faster-reproducing invertebrates. The spectrum of de novo mutations is also similar to that seen in vertebrate species, although an excess of rare C > A polymorphisms in wild individuals suggests that a modifier allele or environmental exposure may have once increased C > A mutation rates. We use our rate to infer baseline effective population sizes (Ne) across multiple Pacific abalone and find that abalone persisted over most of their evolutionary history as large and stable populations, in contrast to extreme fluctuations over recent history and small census sizes in the present day. We then use our mutation rate to infer the timing and pattern of evolution of the abalone genus Haliotis, which was previously unknown due to few fossil calibrations. Our findings are an important step toward understanding mutation rate evolution and they establish a key parameter for conservation and evolutionary genomics research in mollusks.  more » « less
Award ID(s):
2307479
PAR ID:
10636003
Author(s) / Creator(s):
; ; ; ; ;
Editor(s):
Agashe, Deepa
Publisher / Repository:
Molecular Biology and Evolution
Date Published:
Journal Name:
Molecular Biology and Evolution
Volume:
42
Issue:
1
ISSN:
0737-4038
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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