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首页> 外文期刊>Journal of genetics >Deciphering diversity in populations of various linguistic and ethnic affiliations of different geographical regions of India: analysis based on 15 microsatellite markers
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Deciphering diversity in populations of various linguistic and ethnic affiliations of different geographical regions of India: analysis based on 15 microsatellite markers

机译：印度不同地理区域的各种语言和种族隶属关系中人口的多样性解读：基于15个微卫星标记的分析

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摘要

The extent of genetic polymorphism at fifteen autosomal microsatellite markers in 54 ethnically, linguistically and geographically diverse human populations of India was studied to decipher intrapopulation diversity. The parameters used to quantify intrapopulation diversity were average allele diversity, average heterozygosity, allele range (base pairs), and number of alleles. Multilocus genotype frequencies calculated for selected populations were utilized for testing conformity with the assumption of Hardy-Weinberg equilibrium. The exact test values, after Bonferroni correction, showed significant deviation amongst Gowda (vWA, Penta E); Dhangar, Satnami and Gounder (D8S1179); Hmar (FGA); Kuki and Balti (vWA) groups. Relatively low number of alleles and allelic diversity (base-pairs size) had been observed in populations of central India as compared with southern and northern regions of the country. The communities of Indo-Caucasoid ethnic origin and Indo-European linguistic family (Kshatriya of Uttar Pradesh) showed highest allelic diversity, as well as rare alleles, not reported in any other Indian populations. Analysis based on average heterozygosity was also found to be lowest among the populations of central India (0.729) and highest among the populations from north (0.777) and west (0.784) regions of the country, having Indo-Caucasoid ethnic origin and Austro-Asiatic linguistic affiliation. The maximum power of discrimination (85%-89%) had been observed at loci FGA, Penta E, D18S51 and D21S11, suggested high intrapopulation diversity in India. Genetic diversity revealed by STR markers was consistent with the known demographic histories of populations. Thus, the present study clearly demonstrated that the intrapopulation diversity is not only present at the national level, but also within smaller geographical regions of the country. This is the first attempt to understand the extent of diversity within populations of India at such a large scale at genomic level.
机译：研究了印度54个种族，语言和地理上不同的人口群体中15个常染色体微卫星标记的遗传多态性程度，以解释种群内多样性。用于量化种群内多样性的参数是平均等位基因多样性，平均杂合度，等位基因范围（碱基对）和等位基因数量。利用为选定人群计算的多基因座基因型频率，以测试符合Hardy-Weinberg平衡假设的情况。经过Bonferroni校正后，准确的测试值显示Gowda（vWA，Penta E）之间存在显着偏差; Dhangar，Satnami和Gounder（D8S1179）;马尔（FGA）; Kuki和Balti（vWA）小组。与该国南部和北部地区相比，在印度中部地区发现的等位基因数量和等位基因多样性（碱基对大小）相对较低。印度-高加索人族裔社区和印度-欧洲语言族（北方邦的Kshatriya）显示出最高的等位基因多样性以及罕见​​的等位基因，在其他印度人口中均未见报道。还发现，基于平均杂合度的分析在印度中部人口中最低（0.729），在该国北部（0.777）和西部（0.784）地区的人口中最高，这些地区具有印度高加索人种和南亚语言联系。在基因座FGA，Penta E，D18S51和D21S11处观察到最大的分辨力（85％-89％），这表明印度的种群内多样性很高。 STR标记揭示的遗传多样性与已知的人口统计学历史一致。因此，本研究清楚地表明，种群内多样性不仅存在于国家一级，而且存在于该国较小的地理区域内。这是在基因组水平上如此大规模地了解印度人口多样性程度的首次尝试。

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