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toyLIFE:一个用于研究基因型-表型图谱多层次组织的计算框架。

toyLIFE: a computational framework to study the multi-level organisation of the genotype-phenotype map.

作者信息

Arias Clemente F, Catalán Pablo, Manrubia Susanna, Cuesta José A

机构信息

1] Grupo Interdisciplinar de Sistemas Complejos (GISC), Madrid, Spain [2] Dept. Matemáticas, Universidad Carlos III de Madrid, Leganés, Madrid, Spain.

1] Grupo Interdisciplinar de Sistemas Complejos (GISC), Madrid, Spain [2] Centro Nacional de Biotecnología (CSIC), Campus de Cantoblanco, Madrid, Spain.

出版信息

Sci Rep. 2014 Dec 18;4:7549. doi: 10.1038/srep07549.

Abstract

The genotype-phenotype map is an essential object to understand organismal complexity and adaptability. However, its experimental characterisation is a daunting task. Thus, simple models have been proposed and investigated. They have revealed that genotypes differ in their robustness to mutations; phenotypes are represented by a broadly varying number of genotypes, and simple point mutations suffice to navigate the space of genotypes while maintaining a phenotype. Nonetheless, most current models focus only on one level of the map (folded molecules, gene regulatory networks, or networks of metabolic reactions), so that many relevant questions cannot be addressed. Here we introduce toyLIFE, a multi-level model for the genotype-phenotype map based on simple genomes and interaction rules from which a complex behaviour at upper levels emerges -remarkably plastic gene regulatory networks and metabolism. toyLIFE is a tool that permits the investigation of how different levels are coupled, in particular how and where mutations affect phenotype or how the presence of certain metabolites determines the dynamics of toyLIFE gene regulatory networks. The model can easily incorporate evolution through more complex mutations, recombination, or gene duplication and deletion, thus opening an avenue to explore extended genotype-phenotype maps.

摘要

基因型-表型图谱是理解生物体复杂性和适应性的重要对象。然而,对其进行实验表征是一项艰巨的任务。因此,人们提出并研究了一些简单模型。这些模型揭示了基因型对突变的稳健性存在差异;表型由数量广泛变化的基因型表示,简单的点突变足以在保持表型的同时遍历基因型空间。尽管如此,当前大多数模型仅关注图谱的一个层次(折叠分子、基因调控网络或代谢反应网络),以至于许多相关问题无法得到解决。在此,我们引入toyLIFE,这是一种基于简单基因组和相互作用规则的基因型-表型图谱多层次模型,从该模型中可产生上层的复杂行为——显著可塑性的基因调控网络和代谢。toyLIFE是一种工具,它允许研究不同层次是如何耦合的,特别是突变如何以及在何处影响表型,或者某些代谢物的存在如何决定toyLIFE基因调控网络的动态。该模型可以很容易地通过更复杂的突变、重组或基因复制和缺失纳入进化,从而为探索扩展的基因型-表型图谱开辟了一条途径。

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