Mathematics and Mechanics Department, IIMAS-UNAM, Circuito escolar, Coyoacán, Mexico City 04510, Mexico.
Functional Ecology Department, Ecology Institute-UNAM, Mexico.
J Theor Biol. 2018 Oct 7;454:30-40. doi: 10.1016/j.jtbi.2018.05.032. Epub 2018 May 29.
Understanding the emergence of biological structures and their changes is a complex problem. On a biochemical level, it is based on gene regulatory networks (GRN) consisting on interactions between the genes responsible for cell differentiation and coupled in a greater scale with external factors. In this work we provide a systematic methodological framework to construct Waddington's epigenetic landscape of the GRN involved in cellular determination during the early stages of development of angiosperms. As a specific example we consider the flower of the plant Arabidopsis thaliana. Our model, which is based on experimental data, recovers accurately the spatial configuration of the flower during cell fate determination, not only for the wild type, but for its homeotic mutants as well. The method developed in this project is general enough to be used in the study of the relationship between genotype-phenotype in other living organisms.
理解生物结构的出现及其变化是一个复杂的问题。在生化层面上,它基于由负责细胞分化的基因相互作用组成的基因调控网络(GRN),并在更大的尺度上与外部因素耦合。在这项工作中,我们提供了一个系统的方法框架,用于构建参与被子植物发育早期细胞决定的 GRN 的 Waddington 表观遗传景观。作为一个具体的例子,我们考虑了植物拟南芥的花。我们的模型基于实验数据,不仅可以准确地恢复野生型细胞命运决定过程中花的空间结构,还可以恢复其同源突变体的空间结构。本项目中开发的方法足够通用,可以用于研究其他生物体中基因型-表型之间的关系。