The study metal binding protein dominant types of plants and microorganisms in agrobiocenosis of the volgograd region

The use of modern bioinformatic approaches for the solution of environmentally oriented tasks provides new data that can be used for spot control anthropogenic ecosystems and ecosystem rebuilding of their violation obtained from adverse factors of natural and antropogenical genesis. This work aims at demonstrating and identifying metal binding proteins in dominant species of plants and microorganisms of agrocenosis that allows you to create an information database for accumulating and processing information about the regularities of the functioning of agro-ecosystem in arid conditions, leading to the growth of economic efficiency of the farming system and increase the success of environmental management.The main purpose of the work was to study the presence of metal binding proteins included in the proteome, the dominant species of plants and microorganisms from three typical agrocenoses of the Volgograd region. Metal binding proteins were distributed not only in their functional features, participation in photosynthesis, salt resistance, but also in the degree of their dependence on specific metals: manganese, zinc and copper. The results of the proteinaceous analysis of metal binding proteins in plants and microorganisms showed that the main dominant species annotated a small amount of proteins, the most prominent representative is barley ordinary it described 246 metal-dependent proteins of which 115 annotated, in other plants the number of proteins is much lower, or not studied at all proteome. The soil microbiota of the considered agrocenosis is also characterized bya sufficiently large number of metal-dependent proteins, 4874 for representatives of the Genus Actinomyces and 5727 for Bacillus subtilis, of which about 45-50 % are annotated. According to the results, the concentration of metals in the soil of agrocenosis, namely in the arid zone, has a very strong impact on the livelihoods of crops and microorganisms in the soil.The use of the obtained results can be used as a basis for the implementation of targeted high-precision management of biocenoses in order to improve the sustainability of natural communities and the economic efficiency of agrocenoses.