A tractable genotype-phenotype map modelling the self-assembly of protein quaternary structure.

A tractable genotype-phenotype map modelling the self-assembly of protein quaternary structure.
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DOI:
10.1098/rsif.2014.0249
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发表时间:
2014-06-06
期刊:
Journal of the Royal Society, Interface
影响因子:
--
通讯作者:
Ahnert SE
Ahnert SE
中科院分区:
其他
文献类型:
--
作者:
Greenbury SF;Johnston IG;Louis AA;Ahnert SE

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生物基因型和表型之间的映射是生物进化研究的核心。在这里,我们介绍了一个丰富的,直观的和生物现实的基因型-表型(GP)的地图,作为一个模型的自组装生物结构,如蛋白质复合物,并保持计算和分析处理。我们的GP图自然产生于二维晶格上的多角结构的自组装,并表现出许多特性:冗余(基因型大大超过表型),表型偏差(基因型冗余在表型之间变化很大),基因型组件断开(表型由断开的突变网络组成)和形状空间覆盖(大多数表型可以在少量突变中达到)。我们还表明,突变的表型的鲁棒性尺度非常粗略的数学与表型冗余,并与表型的可进化性呈正相关。虽然我们的GP地图描述了断开连接的对象的组装,它与其他流行的GP地图连接的单位,如RNA二级结构的模型或疏水极性(HP)的蛋白质三级结构的晶格模型的许多属性。这些重要的性质同样出现在这些不同的模型中,这一引人注目的事实表明,普遍特征可能是更广泛的一类生物现实GP地图的基础。
The mapping between biological genotypes and phenotypes is central to the study of biological evolution. Here, we introduce a rich, intuitive and biologically realistic genotype–phenotype (GP) map that serves as a model of self-assembling biological structures, such as protein complexes, and remains computationally and analytically tractable. Our GP map arises naturally from the self-assembly of polyomino structures on a two-dimensional lattice and exhibits a number of properties: redundancy (genotypes vastly outnumber phenotypes), phenotype bias (genotypic redundancy varies greatly between phenotypes), genotype component disconnectivity (phenotypes consist of disconnected mutational networks) and shape space covering (most phenotypes can be reached in a small number of mutations). We also show that the mutational robustness of phenotypes scales very roughly logarithmically with phenotype redundancy and is positively correlated with phenotypic evolvability. Although our GP map describes the assembly of disconnected objects, it shares many properties with other popular GP maps for connected units, such as models for RNA secondary structure or the hydrophobic-polar (HP) lattice model for protein tertiary structure. The remarkable fact that these important properties similarly emerge from such different models suggests the possibility that universal features underlie a much wider class of biologically realistic GP maps.
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