Multi-level gene regulatory network models to understand complex mechanisms underlying plant development
Por:
García-Gómez M.L., Castillo-Jiménez A., Martínez-García J.C., Álvarez-Buylla E.R.
Publicada:
1 ene 2020
Categoría:
Plant science
Resumen:
Patterning in plant development is the emergent outcome of the feedback-based interplay between tissue-coupled intracellular regulatory networks and physicochemical fields. This interplay gives rise to dynamics that evolve on a wide spectrum of spatiotemporal scales. This imposes important challenges for computational approaches to model the dynamics of plant development. These challenges are being tackled in recent times by computational and mathematical advances that have made progress in the modelling of regulatory networks, as well as in approaches to couple the latter to physicochemical fields. Efforts in this direction are fundamental to identify the dynamical constraints that emerge from non-cellular autonomous activity in cell-fate decisions and patterning, and requires an understanding of how multi-level and multi-scale processes are coupled. Here, we discuss the use of multi-level modeling and simulation tools for the study of multicellular systems, with emphasis on plants. As illustrative examples, we discuss recent works elucidating the mechanisms that underlie patterning in the root meristem of Arabidopsis thaliana, and in plant responses to environmental conditions. © 2020
Filiaciones:
García-Gómez M.L.:
Departamento de Ecología Funcional, Instituto de Ecología, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, Mexico
Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, Mexico
Castillo-Jiménez A.:
Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, Mexico
PhD Program on Biomedical Science, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, Mexico
Martínez-García J.C.:
Departamento de Control Automático, Cinvestav-IPN, Ciudad de México, Mexico
Álvarez-Buylla E.R.:
Departamento de Ecología Funcional, Instituto de Ecología, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, Mexico
Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Coyoacán, Ciudad de México, Mexico
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