PlantLayout pipeline to model tissue patterning
https://doi.org/10.18699/VJ20.590
Abstract
To study the mechanisms underlying developmental pattern formation in a tissue, one needs to analyze the dynamics of the regulators in time and space across the tissue of a specific architecture. This problem is essential for the developmental regulators (morphogens) that distribute over the tissues anisotropically, forming there maxima and gradients and guiding cellular processes in a dose-dependent manner. Here we present the PlantLayout pipeline for MATLAB software, which facilitates the computational studies of tissue patterning. With its help, one can build a structural model of a two-dimensional tissue, embed it into a mathematical model in ODEs, perform numerical simulations, and visualize the obtained results - everything on the same platform. As a result, one can study the concentration dynamics of developmental regulators over the cell layout reconstructed from the real tissue. PlantLayout allows studying the dynamics and the output of gene networks guided by the developmental regulator in specific cells. The gene networks could be different for different cell types. One of the obstacles that PlantLayout removes semi-automatically is the determination of the cell wall orientation which is relevant when cells in the tissue have a polarity. Additionally, PlantLayout allows automatically extracting other quantitative and qualitative features of the cells and the cell walls, which might help in the modeling of a developmental pattern, such as the length and the width of the cell walls, the set of the neighboring cells, cell volume and cell perimeter. We demonstrate PlantLayout performance on the model of phytohormone auxin distribution over the plant root tip.
Supporting agencies: The work was supported by RFBR 18-34-00485 and the project 0324-2019-0040-С-01 from the Russian State Budget
About the Authors
M. S. Savina
Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences
Russian Federation
Russian Federation
Novosibirsk
V. V. Mironova
Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences; Novosibirsk State University
Russian Federation
Russian Federation
Novosibirsk
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