The Extended Phenotype of Chemolithoautotrophs as an Object of Physical Geochemistry and Structural Biogeochemistry in the Framework of V.I. Vernadsky Conceptsтезисы доклада
Дата последнего поиска статьи во внешних источниках: 2 ноября 2016 г.
Аннотация:This report considers the effect of the geochemical environment on the evolutionary morphology of the chemoautotrophic prokaryotes coupled by a dual feedback with the effect of the prokaryotic microorganisms on geomorphology and the chemical composition of their environment. It is shown that the environmental changes are usually accompanied by the evolutional changes in prokaryotic organisms, and vice versa. It is also shown that the emergence of the multiple microbiomorphic structures in the geochemical environment of chemoautotrophs, which are usually poorly distinguishable from their biological prototype due to a high degree of isomorphism, is also determined by the geochemical conditions, their non-equilibrium thermodynamics and the specific response of the soft matter. The above findings are in consistence with the fundamental concepts introduced by V. Vernadsky and S. Winogradsky. We emphasize the mutual nature of determination of the coevolution of microbiota and their environment, which allows to consider the evolutionary morphology of chemoautotrophic prokaryotes and the evolutional biogeochemistry of their phylogeny as a manifestation of the extended phenotype in the framework of the concept proposed by R. Dawkins, with a sufficient remark, that both “biogenic” and “bioinert” matter (terms introduced by Vernadsky) undergo evolution due to the feedback principles. Moreover, here we introduce for the first time a concept of the coevolution of geochemistry, determining the phenotype, and the extended phenotype as a statistical value, formed by a large sample of microorganisms. In this regard we also propose a method of the extended phenotype mapping in correlation with the changing environment using the dynamic colocalization mapping with a number of descriptors, reflecting the state of the environment and of the statistical population sample of the microorganisms, respectively.
