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Título: Cell patterns emerge from coupled chemical and physical fields with cell proliferation dynamics : the Arabidopsis thaliana root as a study system
Autor(es): BARRIO PAREDES, RAFAEL ANGEL
ROMERO ARIAS, JOSE ROBERTO
NOGUEZ, MARCO A.
AZPEITIAESPINOSA, EUGENIO MARTIN
ORTIZ GUTIERREZ, ELIZABETH
HERNANDEZ HERNANDEZ, VALERIA
CORTES POZA, YURIRIA
ALVAREZ BUYLLA ROCES, MARIA ELENA
Temas: Biología molecular - Investigación
Filogenia (Botánica) - Análisis
Citología
Fecha: 2013
Editorial: San Francisco California : PLOS
Citation: PLoS computational biology, may 2, 2013
Resumen: A central issue in developmental biology is to uncover the mechanisms by which stem cells maintain their capacity to regenerate, yet at the same time produce daughter cells that differentiate and attain their ultimate fate as a functional part of a tissue or an organ. In this paper we propose that, during development, cells within growing organs obtain positional information from a macroscopic physical field that is produced in space while cells are proliferating. This dynamical interaction triggers and responds to chemical and genetic processes that are specific to each biological system. We chose the root apical meristem of Arabidopsis thaliana to develop our dynamical model because this system is well studied at the molecular, genetic and cellular levels and has the key traits of multicellular stem-cell niches. We built a dynamical model that couples fundamental molecular mechanisms of the cell cycle to a tension physical field and to auxin dynamics, both of which are known to play a role in root development. We perform extensive numerical calculations that allow for quantitative comparison with experimental measurements that consider the cellular patterns at the root tip. Our model recovers, as an emergent pattern, the transition from proliferative to transition and elongation domains, characteristic of stem-cell niches in multicellular organisms. In addition, we successfully predict altered cellular patterns that are expected under various applied auxin treatments or modified physical growth conditions. Our modeling platform may be extended to explicitly consider gene regulatory networks or to treat other developmental systems.
URI: http://ilitia.cua.uam.mx:8080/jspui/handle/123456789/457
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