PubMed · 8932901
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S Titimi. 1996. Genomics.. https://doi.org/10.1192/bjp.169.5.666a
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Models of geographic distribution of 33 alleles of 10 loci (AB0, TF, GC, PI, HP, AHS, F13B, ACP1, PGM1, GLO1) in the indigenous population of five raions (districts) of Marii El Republic were analyzed by cartographic statistical methods. Based on 33 maps for individual alleles, synthetic maps were constructed; they reflected the general characteristics of the spatial variability of the Mari gene pool. A map of reliability of the synthetic maps was also obtained. This study was the first to use estimates of the reliability of the gene-geographic prognosis for constructing and interpreting the maps of principal components. Synthetic maps of principal components reveal the geography of the main factors that determine the genetic diversity of the Maris. In the map of the first principal component (accounting for 25.5% of the total variation of the Mari gene pool), isolines clearly ran in the latitudinal direction; i.e., the variability exhibited a north-south gradient. The direction of changes reflects the characteristic features of the microevolution of the Mari gene pool, because it differs from the direction of the principal components of in the total Ural gene pool. The second principal component (24.3% of variation) also exhibited a latitudinal gradient in the western part of Marii El. In the eastern part of the republic, isolines drastically change their direction and display a marked west-east gradient. This longitudinal orientation of principal components is characteristic of the Maris in the synthetic maps of the Ural region. Contributions of individual genes in the variation of principal components were analyzed. In proceeding from the geographic space to the space of principal components, it was found that Highland Maris are separated from Meadow Maris not only geographically, but also genetically.
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A new approach for investigating the selective structure of the gene pool reflecting the type and intensity of selection is proposed. Selection pressure is estimated on the basis of interpopulation gene diversity with the use of the selection intensity index: RS(i) = NeS(i) = 1/4(1/FST(i)-1/Fe). Distributions of RS(i) in gene pools of indigenous populations from all continents and five subregions of the northeastern Eurasia were examined. It was shown that, of all theoretical distributions, only beta-distributions provide a good approximation of RS(i) estimates. Based on the confidence intervals of RS obtained from beta-distributions, genes can be grouped into the three following classes according to their selective structure: LOWER DIFF, NEUTRAL, and SUPER DIFF. These classes, respectively, include genes subjected mainly to stabilizing selection (RS(i) > 0; LOWER DIFF), genes subjected mainly to differentiating selection (RS(i) < 0; SUPER DIFF), and arbitrarily selectively neutral genes (RS(i) approximately 0; NEUTRAL). Simulation of gene pool sampling (10(6) samples from 50 markers for each gene pool) allowed us to characterize the selective structure by determining markers that fall into the same selective class irrespective of the variant for the sampling process. The selective structure of gene pools from six continents (Europe, Asia, Africa, Australia, America, and southeastern Eurasia) and five subregions of northeastern Eurasia was characterized. It was shown that approximately one-third of genes is subjected to selection irrespective of the hierarchical level of the region. In gene pools of Europe, northeastern Eurasia, and European and Ural subregions, the proportion of genes under stabilizing selection was higher, the proportion of selectively neutral genes, lower. Debatable issues of tests for selective neutrality based on heterogeneity of interpopulation gene diversity are considered. These issues include the effect on FST of the hierarchical population structure, sample size, number of subpopulations, and other factors that shift estimates of gene selective values.