引用本文:	鲁双庆,匡刚桥,刘臻,刘红玉,张建社,刘峰.高识别力的微卫星标记系统在鳜属(Siniperca)物种鉴定中的应用.海洋与湖沼,2007,38(4):379-384.

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*高识别力的微卫星标记系统在鳜属(Siniperca)物种鉴定中的应用*
鲁双庆¹, 匡刚桥^1,2, 刘臻¹, 刘红玉³, 张建社¹, 刘峰^1,2
1.长沙大学生物工程与环境科学系长沙410003;2.湖南农业大学动物科技学院长沙410128;3.湖南大学环境科学与工程学院长沙410082

摘要:

根据自行分离的翘嘴鳜微卫星序列(GenBank登录号:DQ789247—DQ789306)设计并合成20对微卫星引物,对鳜属鱼类4个物种即翘嘴鳜、大眼鳜、斑鳜和暗鳜共80个个体进行了物种鉴定分析。结果表明,20对微卫星引物共检测到293个等位基因,大小在80-301bp之间。它们在4个物种中的多态性位点百分率分别为90%、75%、85%和85%,累积个体识别率和非父排除率均达到0.9999,属于高识别力的微卫星遗传标记系统,可以用来进行鳜属鱼类物种的鉴定分析。UPGMA聚类分析表明,翘嘴鳜与暗鳜之间亲缘关系最近,可归属于第Ⅰ类;大眼鳜为第Ⅱ类;斑鳜独自为第Ⅲ类。本研究可为鳜属鱼类的分类及进化关系、群体遗传结构分析等提供理论支持,为野生原种鳜类遗传多样性的监测和评估以及鳜类优良的种质资源得到合理保护和开发利用奠定基础。

关键词: 鳜属微卫星标记遗传多样性

DOI：

分类号:

基金项目:国家自然科学基金项目,30571414号;湖南省自然科学基金项目,06JJ20056号;湖南省教育厅资助项目,06C165号

附件

APPLICATION OF HIGH RESOLUTION MICROSATELLITE MARKERS TO SPECIES IDENTIFICATION OF SINIPERCA

LU Shuang-Qing¹, KUANG Gang-Qiao^1,2, LIU Zhen¹, LIU Hong-Yu³, ZHANG Jian-She¹, LIU Feng^1,2

1.Department of Biotechnology & Environment Science, Changsha University, Changsha, 410003;2.College of Animal Sci-ence and Technology, Hunan Agricultural University, Changsha, 410128;3.College of Environmental Science & Engineering, Hunan University, Changsha, 410082

Abstract:

The genetic diversity and genetic differentiation of Siniperca was conducted. The fresh water fish is also known as Mandarin fish. Four species including S. chuatsi, S. kneri, S. obscura and S. scherzeri were studied with microsatellite DNA technique. Twenty microsatellite primers were designed using Primer Premier 5.0 according to the microsatellite DNA sequence (GenBank accession Number: DQ789247-DQ789306) of S. chuatsi isolated in our library. The results showed that: 293 alleles were found from the 20 pairs of microsatellite primers in sizes of ranging from 80 to 301 bp. The percentages of polymorphic bands were 90%, 75%, 85%, and 85% for each species respectively; and the accumulative power of discrimination (DP) and probability of paternity exclusion (PPE) were 0.9999, which indicated that the 20 pairs of microsatellite primers could be used in parentage and determine the kinship of Siniperca in future genetic breeding studies. Clustering analysis indicated that S. chuatsi and S. scherzeri joined the first group sharing close kinship and appeared relatively later. S. kneri and S. obscura joined up in another group. The UPGMA tree demarcates the 4 species into different species with different evolutionary and breeding history.

Key words: Siniperca, Microsatellite markers, Genetic diversity