Detecting signatures of episodic positive selection based on observed amino acids in hemagglutinin of H3N2 human influenza A virus

IF 1 Q4 GENETICS & HEREDITY
Yoshiyuki Suzuki
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Abstract

In the parsimony method for detecting natural selection at amino acid sites of proteins, the numbers of synonymous (dS) and nonsynonymous (dN) substitutions that have accumulated over the evolutionary history of observed sequences were computed assuming that any amino acid was compatible at each site. Positive selection was inferred to have operated recurrently when the null hypothesis of no selection was rejected with dS<dN. Here an attempt to detect episodic positive selection within the framework of parsimony method was demonstrated. The dS and dN values were computed assuming that only the observed amino acids were compatible at each site. Positive selection was inferred to have operated episodically when the null hypothesis of the same fitness effects among observed amino acids was rejected with dS>dN. In the analysis of 18,444 sequences for hemagglutinin of H3N2 human influenza A virus, recurrent and episodic positive selections were inferred mainly at the sites related to antigenicity. Episodic positive selection was detected particularly at the sites under epistasis. Although it may be necessary to eliminate slightly deleterious amino acids from the population genetic data, the analysis based on observed amino acids may be useful for screening the sites with signatures of episodic positive selection.
基于观察到的H3N2人甲型流感病毒血凝素氨基酸的偶发性阳性选择特征检测
在检测蛋白质氨基酸位点自然选择的简约法中,假设任意氨基酸在每个位点都是相容的,计算在观察序列的进化史中积累的同义(dS)和非同义(dN)取代的数量。当没有选择的零假设被dS<;dN拒绝时,推断出正选择反复运行。在此,我们尝试在简约法的框架内检测情景积极选择。dS和dN值的计算假设只有观察到的氨基酸在每个位点相容。当观察到的氨基酸之间具有相同适应度效应的零假设被dS>;dN拒绝时,推断出正选择是偶然发生的。在对18444个H3N2人流感病毒血凝素序列的分析中,主要在与抗原性相关的位点推断出复发性和偶发性阳性选择。偶发性阳性选择主要发生在上位位点。虽然可能有必要从群体遗传数据中剔除轻微有害的氨基酸,但基于观察到的氨基酸的分析可能有助于筛选具有偶发性正选择特征的位点。
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来源期刊
Gene Reports
Gene Reports Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.30
自引率
7.70%
发文量
246
审稿时长
49 days
期刊介绍: Gene Reports publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses. Gene Reports strives to be a very diverse journal and topics in all fields will be considered for publication. Although not limited to the following, some general topics include: DNA Organization, Replication & Evolution -Focus on genomic DNA (chromosomal organization, comparative genomics, DNA replication, DNA repair, mobile DNA, mitochondrial DNA, chloroplast DNA). Expression & Function - Focus on functional RNAs (microRNAs, tRNAs, rRNAs, mRNA splicing, alternative polyadenylation) Regulation - Focus on processes that mediate gene-read out (epigenetics, chromatin, histone code, transcription, translation, protein degradation). Cell Signaling - Focus on mechanisms that control information flow into the nucleus to control gene expression (kinase and phosphatase pathways controlled by extra-cellular ligands, Wnt, Notch, TGFbeta/BMPs, FGFs, IGFs etc.) Profiling of gene expression and genetic variation - Focus on high throughput approaches (e.g., DeepSeq, ChIP-Seq, Affymetrix microarrays, proteomics) that define gene regulatory circuitry, molecular pathways and protein/protein networks. Genetics - Focus on development in model organisms (e.g., mouse, frog, fruit fly, worm), human genetic variation, population genetics, as well as agricultural and veterinary genetics. Molecular Pathology & Regenerative Medicine - Focus on the deregulation of molecular processes in human diseases and mechanisms supporting regeneration of tissues through pluripotent or multipotent stem cells.
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