Genetical structure of populations of modelling species of terrestrial mollusks in conditions of the urbanized landscape on example Сhondrula tridens Müll (Gastropoda, Pulmonata)

On the basis of the analysis of the morphological and genetical variability revealed by a method of gel-electrophoresis of proteins in PAAG, the state of gene pools of populations of modeling species Сhondrula tridens Müll (threedens snail) in conditions of the urbanized forest-steppe landscape of the south of Mid-Russia Upland is investigated. In the majority of the investigated bunches authentic decrease of a level of heterozygosity and the decrease of an allelic diversification caused, both is fixed by natural historical factors, and factors of an anthropogenic parentage. The genetic-automatic processes in populations are considered and vectors of natural selection are defined. Calculation of effective number of researched bunches is spent.

A further modification in the triple testcross analysis when testers share common loci

For investigating the genetical structure of a population of homozygous lines, modifications in the triple testcross analysis that allow for the effect of common loci shared by the pure-breeding testers, L1 and L2, have been previously proposed. The unbiased estimates of the additive genetic and dominance components are, however, correlated as they are obtained from statistics that are nonorthogonal. Further modifications are suggested where full triple testcross families L1i (= Pi × L1), L2i (= Pi × L2) and L3i (= Pi × L3; L3 = L1 × L2) along with selfed progenies of L1i (= L1si) and L2i (= L2si) and pure-breeding lines (Pi) themselves are raised. Alternatively, full triple testcross progenies (L1i, L2i, and L3i) can be raised along with the selfs of L3i (= L3si) families and parental (Pi) lines. These combinations of normal and selfed progenies allow one to test and estimate unbiased additive and dominance components, free from the effect of common loci in the testers and from statistics that are statistically orthogonal. The components of variation are, therefore, estimated independently.Key words: triple testcross, inadequate testers, components of variation.