DETERMINING CONTINENT OF ORIGIN OF CHUM SALMON (ONCORHYNCHUS-KETA) USING GENETIC STOCK IDENTIFICATION TECHNIQUES - STATUS OF ALLOZYME BASE-LINE IN ASIA
DETERMINING CONTINENT OF ORIGIN OF CHUM SALMON (ONCORHYNCHUS-KETA) USING GENETIC STOCK IDENTIFICATION TECHNIQUES - STATUS OF ALLOZYME BASE-LINE IN ASIA
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DOI：
10.1139/f94-298
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发表时间：
1994-01-01
影响因子：
2.4
通讯作者：
VARNAVSKAYA, NV
中科院分区：
文献类型：
--
作者：
WINANS, GA;AEBERSOLD, PB;VARNAVSKAYA, NV
1989年在日本和俄罗斯启动了一个三机构方案，为大马哈鱼（Oncorhynchus keta）开发新的多位点遗传基线，用于种群鉴定；在38个样本中报告了77个等位基因位点的等位基因频率，覆盖了其在亚洲的大部分南北分布范围。在17份日本和12份俄罗斯样本的62个位点数据集中，平均杂合度为0.066 ~ 0.087（平均0.079），P-0.95和P-0.99位点的平均数量分别为14个和26个。在6个地点中，有5个地点的等位基因频率的年度变化测试不显著。对于P-0.95位点，F-ST值范围为0.007 （sMDH-B1*）至0.154 (mAAT-2*)，平均为0.038。在Nei’s D = 0.006时，观察到俄罗斯和日本样本之间存在明显的差异，并且每个国家的遗传分化通常遵循区域模式。P-0.95基因座的主成分分析显示，日本和俄罗斯样本之间存在很大差异。4个位点（sAAT-1、2*、mAAT-2*、LDH-A1*：和PEPLT*）在前两个主成分上有较高的负荷。对一个有200条鱼的模拟渔业的分析显示，在估计对7个人口群体和原产国的贡献方面有很高的精确度。
A three-agency program was initiated in 1989 to develop a new multilocus genetic baseline for chum salmon (Oncorhynchus keta) in Japan and Russia for use in stock identification; allele frequencies at 77 allozyme loci are reported in 38 samples covering most of its north-south limits of distribution in Asia. In a 62-locus data set for 17 Japanese and 12 Russian samples, average heterozygosity ranged from 0.066 to 0.087 (mean 0.079) and the average number of P-0.95 and P-0.99 loci was 14 and 26, respectively. Tests of year-to-year variation in allele frequencies were not significant at five of six locations. For the P-0.95 loci, F-ST Values ranged from 0.007 (sMDH-B1*) to 0.154 (mAAT-2*) and averaged 0.038. A clear distinction between Russian and japanese samples was observed at Nei's D = 0.006, and genetic differentiation generally followed a regional pattern within each country. Principal component analysis of the P-0.95 loci revealed a large difference between japanese and Russian samples. Four loci (sAAT-1,2*, mAAT-2*, LDH-A1*: and PEPLT*) had high loadings on the first two principal components. Analyses of a simulated fishery with 200 fish revealed a high degree of precision in estimating contributions to seven population groups and to country of origin.