Population genetics of 17 Y-chromosomal STR loci in Yakutia.

Haplotype and allele frequencies of 17 Y-chromosomal short tandem repeat (Y-STR) markers in a population sample of 133 Yakut male volunteers from two regions: Central (n=41) and Western Yakutia (n=92) were determined using the AmpFlSTR Yfiler PCR Amplification Kit (Applied Biosystems). A total of 65 haplotypes were identified in the Yakut population, with 15 haplotypes in Central sample and 54 haplotypes in Western sample. Haplotype diversity values of 0.79 and 0.96, and average gene diversity values of 0.14 and 0.41 were calculated for Central and Western samples, respectively. The Fst distances between both our Yakut populations with other Russian, Siberian and Chinese populations were represented by MDS plot. The graphical view demonstrated close distances between most Yakut populations and differences with other Siberian populations.

Population genetic dynamics in the French Guiana region.

Three sets of genetic markers (blood group plus protein polymorphisms, mitochondrial DNA, and Y-chromosome) were compared in four French Guiana and one Brazilian Amerindian populations. Spearman's rank correlation coefficient between five gene diversity statistics and historical or present-day population sizes showed significant values, indicating loss of diversity due to population bottlenecks. The three sets of markers furnished distinct admixture estimates, and the blood group plus protein polymorphisms could have overestimated the European contribution to their gene pool. Correspondence analysis distinguished the coastal from the interior populations, possibly reflecting past migration events.

Genetic studies in French Guiana populations: Synthesis.

Twelve blood group and protein systems from a total of 819 individuals from six tribal groups (Apalaí-Wayana, Emerillon, Kaliña, Palikur Wayampi, and Wayana) living in French Guiana and Brazil were compared with each other and integrated with previous results from 17 other South Amerindian populations studied for the same genetic markers. Using correspondence analysis, map methodologies, and maximum linkage cluster analysis developed with the UPGMA method, we attempted to establish the genetic position of these tribes among South American Indians. Peripheral positions for the Emerillon and the Palikur were observed. Ethnohistorical data in French Guiana suggest that a strong founder effect for the former and endogamy for the latter could have generated the genetic differentiation of these two ethnic groups. However, when considered in a wider context, all French Guiana Natives cluster together in an intermediate position as compared with 17 other Amerindian groups studied for the comparison.

Genetic structure of Algerian populations.

Blood samples were collected in Algeria from 4,444 army recruits and tested for 10 genetic polymorphic systems. These samples were collected from territorial Wilayas (administrative units of Algeria) from which the young soldiers had originated. Based on similar geography and economic and political history, these Wilayas were clustered into 10 regions. These regions, not part of the governmental administrative units, were characterized by allelic frequencies, and analyzed using R-matrix principal components, Wright's F(ST), spatial autocorrelation, and Mantel tests. Hierarchical relationships between the culturally defined regions were examined using two different analytical methods of phylogenetic tree constructions: neighbor-joining, and unweighted pair group average arithmetic (UPGMA). These results indicated the predominance of genetic homogeneity due to the gene flow between regions, but with some migration emanating from sub-Saharan Africa and Mediterranean Europe. Wright's F(ST) value of 0.0063, based on 16 alleles, suggested a relatively small genetic microdifferentiation of the regions. In Algeria, gene flow apparently swamped most of the effects of stochastic processes and disrupted the relationship between geography and genetics, as characterized by the isolation-by-distance model. Some genetic differences and similarities were observed between regions or clusters of regions. The resulting genetic structure of the Algerian populations is best explained by a combination of gene flow, ecology, and history.