线粒体DNAD-loop区多态性与贵州四个少数民族的遗传关系  被引量:3

The genetic relation of four ethnic populations in China's Guizhou is revealed by sequence variations of mtDNA D-loop

在线阅读下载全文

作  者:李彬彬[1] 钟复光[2] 易红生[2] 王先然 李良芳 王丽兰 齐晓岚[2] 吴立甫[2] 

机构地区:[1]广东医学院病理生理学教研室,湛江524023 [2]贵阳医学院医学科学研究所 [3]贵州省天柱县人民医院 [4]贵州省赫章县人民医院 [5]贵州省务川县人民医院

出  处:《中华医学遗传学杂志》2006年第4期456-460,共5页Chinese Journal of Medical Genetics

基  金:国家自然科学基金(39560035)

摘  要:目的从母系遗传角度探讨贵州侗族、仡佬族、土家族和彝族群体的遗传结构及遗传分化关系。方法对4个群体108份样本的线粒体DNAD-loop高变区Ⅰ(hypervariablesegmentⅠ,HVSⅠ)进行序列分析,计算核苷酸多态度,并用Neighbor-Joining法构建群体间进化树。结果在所测定的497bp序列中,共检测出86个变异位点,界定出82种单倍型;根据净遗传距离构建的群体间进化树显示:彝族、土家族和仡佬族紧密地聚在一起,最后与侗族聚类。结论彝族与土家族,可能因为有共同的祖先,或在历史上发生过频繁的基因交流与融合,故亲缘关系非常接近;土家族和仡佬族的亲缘关系较近,可能与地域上的相邻有关;彝族和侗族,可能由于历史起源不同以及存在地理隔离的原因,故亲缘关系最远。Objective Through maternal in heritance, to explore the genetic structures and relationships of Dong, Gelao, Tujia and Yi ethaic population in Guizhou of China. Methods The mtDNA D-loop hypervariable segment Ⅰ (HVS Ⅰ)in 108 samples of four ethnic populations were sequenced. Then, the nucleotide diversity was estimated and a phylogenetic tree was constructed by Neighbor-Joining method. Results In the detected 497 bp framents, 86 polymorphic sites were found, and 82 different haplotypes were identified. The phylogenetic tree of four ethnic populations showed: Yi, Tujia and Gelao clustered more closely than Dong did. Conclusion Yi and Tujia population are very closely related, the reason may be that they either originate from a common ancestry or frequently undergo the gene exchanges and admixtures. The genetic relationship between Tujia and Gelao population is nearer, perhaps because they have settled in the adjacent regions. Dong and Yi population show the farthest genetic relationship, this is probably due to their different historical origins and geographic segregation.

关 键 词:线粒体DNA 遗传多态性 遗传关系 

分 类 号:R394[医药卫生—医学遗传学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象