RESUMO
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.
Assuntos
Loci Gênicos , Variação Genética , Genética Populacional , Repetições de Microssatélites/genética , Alelos , Botsuana , Geografia , Humanos , Funções VerossimilhançaRESUMO
Seventeen Y-chromosomal short tandem repeats (YSTRs)-DYS19, DYS389I, DYS389II, DYS385a/b, DYS390, DYS391, DYS392, DYS393, DYS437, DYS438, DYS439, DYS448, DYS456, DYS458, DYS635, and Y-GATA-H4-were analyzed in 252 unrelated male individuals from Botswana. A total of 238 unique haplotypes were identified. The discrimination capacity (DC) was 0.9444 whereas the haplotype diversity (HD) was 0.9990. A database search of the 238 unique haplotypes in the Y chromosome haplogroup database (YHRD) yielded three African American, six Sub-Saharan African, and two admixed South American matches. Five additional African-American matches were detected in the Applied Biosystems Y-STR database. RST, multi-dimensional scaling (MDS) and AMOVA were used to investigate population differentiation in Sub-Saharan Africa and in Botswana. The populations in Sub-Saharan Africa were found to be heterogeneous, with Botswana showing significant differences from its neighbors. No geographic regional or ethnic differentiation was observed within Botswana. Regional and ethnic variation can be useful in forensic working hypotheses.