Accepted_test

DyCeModel: a tool for 1D simulation for plant hormones control of tissue patterning using shoot and root apical meristems of Arabidopsis thaliana as examples
by Azarova Daria Sergeevna | Zemlyanskaya Elena Vasilievna | Lavrekha Viktoria Vadimovna | Department of Systems Biology, Institute of Cytology and Genetics, Siberian Branch of the Russian Acade-my of Sciences, Novosibirsk, Russia | Department of Systems Biology, Institute of Cytology and Genetics, Siberian Branch of the Russian Acade-my of Sciences, Novosibirsk, Russia Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Russia | Department of Systems Biology, Institute of Cytology and Genetics, Siberian Branch of the Russian Acade-my of Sciences, Novosibirsk, Russia
Abstract ID: 714
Event: BGRS-abstracts
Sections: [Sym 6] Section “Developmental biology of plants: computational and experimental approaches”

The question of the mechanisms of growth and development is

very challenging. To do this, it is necessary to analyze changes in the regulators

distribution throughout the tissue in time and space and take into account their

influence on cellular dynamics within the tissue. The main regulators of cellular

dynamics in tissues are plant hormones, which form gradients and maxima to control

molecular processes depending on concentration. mathematical modeling

successfully used to study the effect of the plant hormones concentration

distribution on the plant stem cell niches functioning in 1D and 2D models, in which

cell division, growth and differentiation under the control of signaling molecules. there is a problem that the mentioned mathematical models remain within a specific meristem and are not suited

to other plant stem cell niches. A common description of the main complex of

processes associated with the redistribution of hormone concentrations and cell

responses to them can serve as the basis for studying the general and specific

characteristics of meristems in various plants. Therefore, one of the actual tasks is to

create software that builds computer models of various plant organs using uniformly

described processes and provides automatic adjustment of parameters.