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Genetic variation and population structure of Botswana populations as identified with AmpFLSTR Identifiler short tandem repeat (STR) loci

机译:用AmpFLSTR短串联重复序列(STR)位点鉴定的博茨瓦纳种群的遗传变异和种群结构

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摘要

Population structure was investigated in 990 Botswana individuals according to ethno-linguistics, Bantu and Khoisan, and geography (the nine administrative districts) using the Identifiler autosomal microsatellite markers. Genetic diversity and forensic parameters were calculated for the overall population, and according to ethno-linguistics and geography. The overall combined power of exclusion (CPE) was 0.9999965412 and the combined match probability 6,28 × 10−19. CPE was highest for the Khoisan Tuu ethnolinguistic group and the Northeast District at 0.9999582029 and 0.9999922652 respectively. CMP ranged from 6.28 × 10−19 (Khoisan Tuu) to 1,02 × 10−18 (Northwest district). Using pairwise genetic distances (FST), analysis of molecular variance (AMOVA), factorial correspondence analysis (FCA), and the unsupervised Bayesian clustering method found in STRUCTURE and TESS, ethno-linguistics were found to have a greater influence on population structure than geography. FCA showed clustering between Bantu and Khoisan, and within the Bantu. This Bantu sub-structuring was not seen with STRUCTURE and TESS, which detected clustering only between Bantu and Khoisan. The patterns of population structure revealed highlight the need for regional reference databases that include ethno-linguistic and geographic location information. These markers have important potential for bio-anthropological studies as well as for forensic applications.
机译:使用Identifiler常染色体微卫星标记,根据民族语言学,班图人和科伊桑人以及地理区域(九个行政区),对990名博茨瓦纳人的人口结构进行了调查。根据种族语言学和地理条件,计算了总人口的遗传多样性和法医参数。总体排除能力(CPE)为0.9999965412,合并匹配概率为6,28×10 −19 。 Khoisan Tuu民族语言组和东北区的CPE最高,分别为0.9999582029和0.9999922652。 CMP的范围从6.28×10 −19 (Khoisan Tuu)到1,02×10 −18 (西北地区)。使用成对遗传距离(FST),分子变异分析(AMOVA),阶乘对应分析(FCA)和在结构和TESS中发现的无监督贝叶斯聚类方法,发现民族语言学对人口结构的影响大于地理因素。 FCA显示了班图人和科伊桑人之间以及班图人内部的集群。 STRUCTURE和TESS看不到这种Bantu子结构,后者仅检测到Bantu和Khoisan之间的聚类。揭示的人口结构格局突显了对包括种族语言和地理位置信息的区域参考数据库的需求。这些标记对于生物人类学研究和法医学应用具有重要的潜力。

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