利用25个微卫星标记分析DAD-IS数据库中韩国地方鸡群体的遗传多样性

H. Roh, Kwan-Woo Kim, Jinwook Lee, D. Jeon, Seungchang Kim, Y. Ko, Seong-Sil Mun, Hyunjoo Lee, Jun-Heon Lee, D. Oh, Jae-Hyun Byeon, C. Cho
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引用次数: 2

摘要

一些韩国本土鸡(KNC)种群已在粮农组织(FAO) DAD-IS(家畜多样性信息系统,http://www.fao.org/dad-is)登记。但是没有科学依据证明它们是韩国特有的种群。因此,本研究利用25个微卫星标记来证明KNC的独特性。试验选用11个KNC群体(KNG、KNB、KNR、KNW、KNY、KNO、HIC、HYD、HBC、JJC、LTC)和7个引进群体(ARA: Araucana、RRC和RRD:罗德岛红C和D、LGF和LGK:白来角F和K、COS和COH:康沃尔棕和康沃尔黑)共548只鸡。采用GeneMapper软件(v 5.0)测定每个位点的等位基因大小。共检测到195个等位基因,每个位点3 ~ 14个。种群内MNA、Hexp、Hobs、PIC值以KNY最高,分别为4.60、0.627、0.648、0.563,HYD最低,分别为1.84、0.297、0.286、0.236。遗传均匀性分析结果为15个聚类(ΔK = 66.22)。除JJC外,其余均聚在一定的聚类中,遗传均匀性较高。JJC不属于特定的聚类,而是属于聚类2(44.3%)、聚类3(17.7%)和聚类8(19.1%)。研究结果为KNC品种的独特性提供了科学依据,为KNC品种的遗传评价和管理提供了基础数据。(
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic Diversity of Korean Native Chicken Populations in DAD-IS Database Using 25 Microsatellite Markers
A number of Korean native chicken(KNC) populations were registered in FAO (Food and Agriculture Organization) DAD-IS (Domestic Animal Diversity Information Systems, http://www.fao.org/dad-is). But there is a lack of scientific basis to prove that they are unique population of Korea. For this reason, this study was conducted to prove KNC’s uniqueness using 25 Microsatellite markers. A total of 548 chickens from 11 KNC populations (KNG, KNB, KNR, KNW, KNY, KNO, HIC, HYD, HBC, JJC, LTC) and 7 introduced populations (ARA: Araucana, RRC and RRD: Rhode Island Red C and D, LGF and LGK: White Leghorn F and K, COS and COH: Cornish brown and Cornish black) were used. Allele size per locus was decided using GeneMapper Software (v 5.0). A total of 195 alleles were observed and the range was 3 to 14 per locus. The MNA, Hexp, Hobs, PIC value within population were the highest in KNY (4.60, 0.627, 0.648, 0.563 respectively) and the lowest in HYD (1.84, 0.297, 0.286, 0.236 respectively). The results of genetic uniformity analysis suggested 15 cluster (ΔK = 66.22). Excluding JJC, the others were grouped in certain cluster with high genetic uniformity. JJC was not grouped in certain cluster but grouped in cluster 2 (44.3%), cluster 3 (17.7%) and cluster8 (19.1%). As a results of this study, we can secure a scientific basis about KNC’s uniqueness and these results can be use to basic data for the genetic evaluation and management of KNC breeds. (
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