New structural variation in evolutionary searches of RNA neutral networks
New structural variation in evolutionary searches of RNA neutral networks
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DOI：
10.1016/j.biosystems.2006.11.007
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发表时间：
2007-09-01
期刊：
影响因子：
1.6
通讯作者：
Wagner, Andreas
中科院分区：
文献类型：
--
作者：
Sumedha;Martin, Olivier C.;Wagner, Andreas
RNA二级结构是理解遗传变异如何映射到表型（结构）变异的重要计算模型。RNA结构的进化创新是由中性网络促进的，中性网络是折叠成相同结构的大型连接的RNA序列集。我们的工作扩展和深化了以往对神经网络的研究。首先，我们表明，即使是一个给定的序列（基因型）去结构（表型）P的1-突变体附近包含许多结构变异，不接近P。这适用于生物和通用RNA序列一样。其次，我们分析了基因型G（k）的1-邻域中的新结构与G（0）本身的结构之间的关系，这些新结构与G（0）的结构之间的关系，无论是生物结构还是一般RNA结构。第三，我们分析了一个序列的突变鲁棒性与该序列附近的结构变体的距离之间的关系。我们的研究结果强调了中性网络在进化创新中的作用，以及高鲁棒性在降低这种创新潜力方面的作用。(c)2006爱思唯尔爱尔兰有限公司保留所有权利。
RNA secondary structure is an important computational model to understand how genetic variation maps into phenotypic (structural) variation. Evolutionary innovation in RNA structures is facilitated by neutral networks, large connected sets of RNA sequences that fold into the same structure. Our work extends and deepens previous studies on neutral networks. First, we show that even the 1-mutant neighborhood of a given sequence (genotype) Go with structure (phenotype) P contains many structural variants that are not close to P. This holds for biological and generic RNA sequences alike. Second, we analyze the relation between new structures in the 1-neighborhoods of genotypes G(k) that are only a moderate Hamming distance k away from G(0), and the structure of G(0) itself, both for biological and for generic RNA structures. Third, we analyze the relation between mutational robustness of a sequence and the distances of structural variants near this sequence. Our findings underscore the role of neutral networks in evolutionary innovation, and the role that high robustness can play in diminishing the potential for such innovation. (c) 2006 Elsevier Ireland Ltd. All rights reserved.