Conference publications

Abstracts

XIX conference

Intellectual Design and Discrecity of Biometric Space of Plant-microbe Systems

Vorobyov N.I., Provorov N.A., Sviridova J.V., Pishchik V.N.¹, Ilina L.A.², Laptev G.Yu.²

196608 Russia,S.-Peterburg, Pushkin, sh. Podbelsky, All-Russian Research Institute of Agricultural Microbiology

¹195220 Russia, S.-Petersburg, Grazhdansky pr., 14, Agrophysics Institute of RAAS

²192288 Russia, S.-Petersburg, box 183, Limited Liability Company «Biotroph»

1 pp. (accepted)

Plant-microbe systems belong to the class of biosystems in which character of interaction of biocomponents throughout all life cycle cyclically changes. Despite difficult dynamics of processes, partners regularly cooperate during all life cycles, being under constant control of a network of genes from biosystem’s metagenome. Thus the consecutive expression of the involved genes puts into practice the certain strategic plan of biochemical processes in biocomponents at a composition, functioning and decomposition biosystems (CFD-plan). The number of the CFD-plans which have been "written" in biosystem’s metagenome, has the natural restrictions connected with the metagenome size. The maximum number of CFD-plans characterizes volume of Intellectual Design of biosystems (ID-volume) [1], level of adaptable flexibility of biosystem and ability of a survival of biosystem in a wide spectrum of ecological conditions.

The final number of KFD-plans distributed on set of biosystems, forms discrete biometric space of biosystems [2]. The plants generated by these plans discretely differ on number of leaves, grains, stalks, and number of physiological groups of microorganisms submit to discretely-eksponentsial relations. Integrated function of distribution of probability of biometric sizes is represented a piecewise line. The fractal analysis of such functions allows to receive the important information on biosystem’s ID-volume, their adaptable properties, on grouping of microorganisms in genno-metabolic networks, etc. In this research the data published in the literature and the data about microflora of a hem of cows, received by a molecular TRFLP-method were used.

Work is executed with support by grants RFF 09-04-00907-а, RFF 12-04-00409-а.

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