Saha A, Bamezai R
Human Genetics Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India.
J Hum Genet. 2000;45(4):207-11. doi: 10.1007/s100380070028.
Genetic variation in HaeIII-digested genomic DNA samples from different individuals belonging to population groups from Bengal, Uttar Pradesh (UP), Punjab, and South India was assessed at hypervariable loci, using a minisatellite probe, pBA1.2 (accession number, AF 157691), the repeat unit of which was 24 mer long and rich in G-bases. Comparison of DNA profiles between individuals showed a very low probability of band sharing, which ranged from 0.18 to 0.24. A dendrogram, based on Nei's genetic distance, constructed by the neighbor-joining method, showed the formation of separate clusters by both South Indian and non-Indian samples, whereas the construction of a dendrogram based on the Unweighted pair group method arithmetic average (UPGMA) method with Jaccard's similarity coefficient at the individual level led to the formation of several small clusters which were interleaved; also, the subgroups for each of the populations were intermingled with the subgroups for the other populations. A separate analysis was carried out to check the consistency of the proximity between different individuals forming a cluster and between those individuals who were in the vicinity of two clusters. The dendrograms thus obtained did not change the relationship between the individuals from all the populations studied. Despite the distinct clustering observed in the population group comparison, a probable admixture was reflected in the finding that some individuals belonging to one population group were dispersed or embedded within a cluster generated by the individuals of another population group, when a minute dissection of the data for generating a tree at the individual level was carried out.
使用小卫星探针pBA1.2(登录号AF 157691),对来自孟加拉、北方邦(UP)、旁遮普和南印度不同人群组的HaeIII消化基因组DNA样本在高变位点的遗传变异进行评估,该探针的重复单元长24个碱基对且富含G碱基。个体间DNA图谱的比较显示条带共享的概率非常低,范围在0.18至0.24之间。基于Nei遗传距离,通过邻接法构建的树状图表明,南印度样本和非印度样本形成了单独的聚类,而在个体水平上基于非加权配对组算术平均法(UPGMA)和Jaccard相似系数构建的树状图则形成了几个相互交错的小聚类;此外,每个群体的亚组与其他群体的亚组相互混杂。进行了单独分析,以检查形成一个聚类的不同个体之间以及处于两个聚类附近的个体之间的接近度一致性。由此获得的树状图并没有改变所研究的所有群体中个体之间的关系。尽管在群体组比较中观察到明显的聚类,但当在个体水平上对生成树的数据进行详细分析时,发现属于一个群体组的一些个体分散或嵌入到另一个群体组个体生成的聚类中,这反映出可能存在混合情况。