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Genetic variation of Japanese pink salmon populations inferred from nucleotide sequence analysis of the mitochondrial DNA control region

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To estimate genetic variation and structure of pink salmon (Oncorhynchus gorbuscha) populations in Hokkaido, Japan, we analyzed the nucleotide sequence of about 500 bp in a variable portion of the 5′… Click to show full abstract

To estimate genetic variation and structure of pink salmon (Oncorhynchus gorbuscha) populations in Hokkaido, Japan, we analyzed the nucleotide sequence of about 500 bp in a variable portion of the 5′ end of the mitochondrial DNA control region for even- and odd-year broodlines. Sixty-seven haplotypes were detected in the examined individuals. Among these, 25 haplotypes were unique to the even-year broodline, while another 30 haplotypes were unique to the odd-year broodline. Five and three length-heteroplasmic haplotypes were detected in the even-year broodline and odd-year broodline, respectively. The distribution pattern of the 67 haplotypes was different among populations between both broodlines, while not different among populations within the same broodline. The haplotype and nucleotide diversity were higher for even-year broodline populations than for odd-year broodline populations, suggesting greater genetic variation within populations of the even-year broodline. Analysis of molecular variance and pairwise fixation index estimates also demonstrated strong genetic differentiation between even- and odd-year broodlines, although there was no genetic differentiation among populations within the same year broodline. The neutrality tests and mismatch distribution analysis indicate that the demographic history of pink salmon in Japan differs between even- and odd-year populations. Together, these results suggest strong reproductive isolation between the even- and odd-year broodlines of pink salmon, and high gene flow with broodlines due to straying.

Keywords: year; broodline; odd year; year broodline; genetic variation; pink salmon

Journal Title: Environmental Biology of Fishes
Year Published: 2017

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