Volkova N. The Genetic Analysis of Drosophila melanogaster Meig. Mating Behavior Components

Research object: D. melanogaster mating behavior traits. Research goal: to determine the genetic and environmental factors affects on D. melanogaster quantitative mating behavior traits formation and to evaluate these traits connections with species general adaptability. Methods of research: genetic analysis techniques (hybrid analysis, separate chromosome pairs substitution, saturating crosses under the directional selection for the marker mutation), mating behavior traits evaluation, fertility and fecundity evaluation, dominant lethal mutation frequencies at early embryogenesis stages evaluation, statistic analysis. Theoretical and practical results, newness: the genetic analysis of several complex behavioral traits was carried out with the same genetic material at the time. Their ties with one another and with general adaptability traits were analyzed. The necessity of taking into account the level of mating behavior indexes while selection on the other adaptively important traits was grounded. Timing characteristics of mating under the different competitiveness conditions were analyzed. The necessity of competitiveness factor taking into account while mating behavior analysis was proofed. The new proofs of high adaptive importance of drosophila male mating activity and of the possibility of this index usage as a general adaptability criterion were obtained. The new data of morphological traits controlling genes influence on drosophila mating behavior were found out. They extend these genes possible pleiotropic affects ideas. The new proofs for artificial genotype rearrangements influence on adaptively important traits were obtained.These should be noted while new breeding forms creation, while directional genes transfer and genes combining. The D. melanogaster new stocks with synthesized genotypes were obtained. They can be used as a model for genes interactions studying and for prolonged consequences of genetic manipulations watching. The research results and some conclusions obtained should be takeninto account while strategies and complex measures for insect populations management and rational use inventing and while the creation of insect populations with the given biological properties (maximal fertility and fecundity). These can be used while the invention of prognosis theory of insect populations densities dynamics. The sphere of application: fundamental and applications genetics, selection.