利用12个微卫星标记分析韩国鸡品种的遗传多样性和亲缘关系

Yesong Kim, J. Yun, Seon Jeong Moon, J. Seong, H. Kong
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摘要

在联合国粮食及农业组织(FAO)的家畜多样性信息系统(DAD-IS, http://dad.fao.org/)中,有不少韩国鸡品种被登记。评价地方品种的遗传多样性和亲缘关系是鉴定独特和有价值遗传资源的重要因素。因此,本研究旨在利用12个微卫星(MS)标记分析22个韩国鸡品种的遗传多样性和亲缘关系。每个品种的平均等位基因数为5.52个,从3.75个(Leghorn F;NF)到7.0(罗斯)。品种多样性最高的是汉化3号(HCC),其期望杂合度(H Exp)和多态性信息含量(PIC)分别为0.754和0.711。NF种群多样性最低,H Exp(0.467)和PIC(0.413)最低。主坐标分析(PCoA)和析因对应分析(FCA)证实了hyline Brown (HL)和Lohmann Brown (LO)的亲缘关系非常接近,Leghorn和Rhode Island Red (RIR)与其他类群有明显的区别。从而提高了12种MS标记的鉴定可靠性和鉴定能力,并通过统计分析确认了遗传多样性和个体歧视概率。本研究可作为鉴定韩国鸡品种的基础数据,结果表明多重PCR标记集在群体遗传结构分析中具有重要的应用价值。
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Genetic diversity and relationship of Korean chicken breeds using 12 microsatellite markers
A number of Korean Chicken breeds were registered in Domestic Animal Diversity Information System (DAD-IS, http://dad.fao.org/) of the Food and Agriculture Organization (FAO). Evaluation of genetic diversity and relationship of local breeds is an important factor towards the identification of unique and valuable genetic resources. Therefore, this study aimed to analysis the genetic diversity and relationship of 22 Korean Chicken breeds using 12 microsatellite (MS) markers. The mean number of alleles for each variety was 5.52, ranging from a 3.75 (Leghorn F; NF) to a 7.0 (Ross). The most diverse breed was the Hanhyup3 (HCC), which had the highest expected heterozygosity (H Exp ) (0.754) and polymorphic information content (PIC) (0.711). The NF was the least diverse population, having the lowest H Exp (0.467) and PIC (0.413). As a result of the principal coordinates analysis (PCoA) and factorial correspondence analysis (FCA) confirmed that Hy-line Brown (HL) and Lohmann Brown (LO) are very close to each other and that Leghorn and Rhode Island Red (RIR) are clearly distinguished from other groups. Thus, the reliability and power of identification using 12 types of MS markers were improved, and the genetic diversity and probability of individual discrimination were confirmed through statistical analysis. This study is expected to be used as basic data for the identification of Korean chicken breeds, and our results indicated that these multiplex PCR marker sets will have considerable applications in population genetic structure analysis.
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