Different evolutionary patterns of SNPs between domains and unassigned regions in human protein-coding sequences.
Different evolutionary patterns of SNPs between domains and unassigned regions in human protein-coding sequences.
复制标题
人类蛋白质编码序列中结构域和未指定区域之间 SNP 的不同进化模式
DOI:
10.1007/s00438-016-1170-7
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发表时间:
2016-06
期刊:
影响因子:
--
通讯作者:
Lin K
中科院分区:
文献类型:
--
作者:
Pang E;Wu X;Lin K
Protein evolution plays an important role in the evolution of each genome. Because of their functional nature, in general, most of their parts or sites are differently constrained selectively, particularly by purifying selection. Most previous studies on protein evolution considered individual proteins in their entirety or compared protein-coding sequences with non-coding sequences. Less attention has been paid to the evolution of different parts within each protein of a given genome. To this end, based on PfamA annotation of all human proteins, each protein sequence can be split into two parts: domains or unassigned regions. Using this rationale, single nucleotide polymorphisms (SNPs) in protein-coding sequences from the 1000 Genomes Project were mapped according to two classifications: SNPs occurring within protein domains and those within unassigned regions. With these classifications, we found: the density of synonymous SNPs within domains is significantly greater than that of synonymous SNPs within unassigned regions; however, the density of non-synonymous SNPs shows the opposite pattern. We also found there are signatures of purifying selection on both the domain and unassigned regions. Furthermore, the selective strength on domains is significantly greater than that on unassigned regions. In addition, among all of the human protein sequences, there are 117 PfamA domains in which no SNPs are found. Our results highlight an important aspect of protein domains and may contribute to our understanding of protein evolution. The online version of this article (doi:10.1007/s00438-016-1170-7) contains supplementary material, which is available to authorized users.