摘要
利用28个微卫星标记对华中地区6个家鸭资源(淮南麻鸭、攸县麻鸭、临武鸭、荆江麻鸭、沔阳麻鸭和恩施麻鸭)的遗传结构进行了评估。结果表明:6个群体的平均杂合度都较高,最低的为攸县麻鸭(0.5512),最高的为荆江麻鸭(0.6035),群体平均杂合度为0.5801,反映了各鸭种的杂合度都较高,遗传多样性丰富;华中地区各鸭种间存在较大的遗传分化,22.5%的遗传变异来源于群体间的差异,进一步反映了各品种具有本品种特性的多样性;通过计算DA遗传距离发现各品种间的遗传距离较远,分化时间较长;NJ聚类结果将华中地区家鸭资源聚为3类,湖北省的荆江麻鸭、沔阳麻鸭和恩施麻鸭聚为一类;湖南省的攸县麻鸭和临武鸭聚为一类;河南省的淮南麻鸭独聚为一类。本研究结果为华中地区家鸭品种种质特性研究提供了基础,也为中国家鸭资源的合理保护和开发利用提供了科学依据。
By using microsatellite markers, the genetic structure of six domestic duck resources distributed in Middle China, including Huainan Sheldrake, Youxian Sheldrake, Linwu, Jingjiang Sheldrake, Mianyang Sheldrake and Enshi Sheldrake, was analyzed in this experiment. The resuits showed that the mean heterozygosity of six duck populations was 0. 580 1, the highest of which was Jingjiang Sheldrake （0. 551 2）, and the lowest was Youxian Sheldrake （0. 603 5）. The value of heterozygosity reflected the rich diversity of those populations. And considerable population differentiation was observed by F-statistics analysis and 22.5 % of the total genetic variation came from population differences, this result firmly affirmed each breed was of its own genetic diversity. The DA genetic distances suggested the longer differentiation existed among those breeds. Based on the distances among those populations, the results of NJ clustering were formed, the first group was Jingjiang Sheldrake, Mianyang Sheldrake and Enshi Sheldrake; the second group was Youxian Sheldrake and Linwu; the third group was Huainan Sheldrake. In terms of the results, those could provide not only basic molecular data for the research on the characteristics of local breeds in Middle China but also scientific basis for the conservation and utilization of those breeds.
出处
《畜牧兽医学报》
CAS
CSCD
北大核心
2008年第3期291-295,共5页
ACTA VETERINARIA ET ZOOTECHNICA SINICA
基金
国家自然科学基金项目(30700572)
国家科技支撑计划项目(2006BDA01A09)
江苏省高技术研究计划项目(BG2007323)
关键词
鸭种
微卫星
遗传多样性
duck breeds
microsatellite
genetic diversity
作者简介
李慧芳（1974-），女，山西盂县人，副研究员，主要从事家禽遗传育种与繁殖的研究，E-mail：LHFXF_002@yahoo．com．cn
通讯作者：李碧春，教授，博导，主要从事动物生殖调控与应用研究，E-mail：Yubcli@yzu．edu．cn
