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Phenotypes can be robust and evolvable if mutations have non-local effects on sequence constraints

机译:如果突变对序列限制有非局部影响则表型可能是稳健的和可进化的

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摘要

The mapping between biological genotypes and phenotypes plays an important role in evolution, and understanding the properties of this mapping is crucial to determine the outcome of evolutionary processes. One of the most striking properties observed in several genotype–phenotype (GP) maps is the positive correlation between the robustness and evolvability of phenotypes. This implies that a phenotype can be strongly robust against mutations and at the same time evolvable to a diverse range of alternative phenotypes. Here, we examine the causes for this positive correlation by introducing two analytically tractable GP map models that follow the principles of real biological GP maps. The first model is based on gene-like GP maps, reflecting the way in which genetic sequences are organized into protein-coding genes, and the second one is based on the GP map of RNA secondary structure. For both models, we find that a positive correlation between phenotype robustness and evolvability only emerges if mutations at one sequence position can have non-local effects on the sequence constraints at another position. This highlights that non-local effects of mutations are closely related to the coexistence of robustness and evolvability in phenotypes, and are likely to be an important feature of many biological GP maps.
机译:生物基因型和表型之间的映射在进化中起着重要作用,而了解这种映射的特性对于确定进化过程的结果至关重要。在几种基因型-表型(GP)图中观察到的最显着的特性之一是表型的鲁棒性和可进化性之间的正相关。这意味着表型对突变具有很强的鲁棒性,同时又可以进化为多种多样的表型。在这里,我们通过引入两个遵循真实生物GP映射原理的分析性易于处理的GP映射模型来研究这种正相关的原因。第一个模型基于类似基因的GP图,反映了将遗传序列组织成蛋白质编码基因的方式,第二个模型基于RNA二级结构的GP图。对于这两个模型,我们发现,仅当一个序列位置的突变对另一位置的序列约束具有非局部影响时,表型鲁棒性和可进化性之间才会出现正相关。这突显了突变的非局部作用与表型的鲁棒性和可进化性的共存紧密相关,并且可能是许多生物学GP图的重要特征。

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