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发育表型空间的进化。

Evolution in developmental phenotype space.

机构信息

Institute of Biology of the Ecole Normale Supérieure, CNRS UMR8197, Inserm U1024, Ecole Normale Supérieure, 46 rue d'Ulm, 75230 Paris cedex 05, France.

出版信息

Curr Opin Genet Dev. 2012 Dec;22(6):593-9. doi: 10.1016/j.gde.2012.08.003. Epub 2012 Aug 24.

Abstract

Developmental systems can produce a variety of patterns and morphologies when the molecular and cellular activities within them are varied. With the advent of quantitative modeling, the range of phenotypic output of a developmental system can be assessed by exploring model parameter space. Here I review recent examples where developmental evolution is studied using quantitative models, which increasingly rely on empirically determined molecular signaling pathways and their crosstalk. Quantitative pathway evolution may result in dramatic morphological changes. Alternatively, in many developmental systems, the phenotypic output is robust to a range of parameter variation, and cryptic developmental evolution may occur without morphological change. Formalization and measurements of the relationship between genetic variation and parameter variation in developmental models remain in their infancy.

摘要

发育系统在其内部的分子和细胞活动发生变化时,可以产生多种模式和形态。随着定量建模的出现,可以通过探索模型参数空间来评估发育系统的表型输出范围。在这里,我回顾了最近使用定量模型研究发育进化的例子,这些模型越来越依赖于经验确定的分子信号通路及其串扰。定量途径进化可能导致形态发生显著变化。或者,在许多发育系统中,表型输出对一系列参数变化具有稳健性,并且可能发生没有形态变化的隐性发育进化。在发育模型中,遗传变异与参数变异之间的关系的形式化和度量仍处于起步阶段。

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