首页> 外文期刊>Infection, Genetics and Evolution: Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases >Toward a method for tracking virus evolutionary trajectory applied to the pandemic H1N1 2009 influenza virus
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Toward a method for tracking virus evolutionary trajectory applied to the pandemic H1N1 2009 influenza virus

机译:追踪用于大流行H1N1 2009流感病毒的病毒进化轨迹的方法

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摘要

In 2009 a novel pandemic H1N1 influenza virus (H1N1pdm09) emerged as the first official influenza pandemic of the 21st century. Early genomic sequence analysis pointed to the swine origin of the virus. Here we report a novel computational approach to determine the evolutionary trajectory of viral sequences that uses data-driven estimations of nucleotide substitution rates to track the gradual accumulation of observed sequence alterations over time. Phylogenetic analysis and multiple sequence alignments show that sequences belonging to the resulting evolutionary trajectory of the H1N1pdm09 lineage exhibit a gradual accumulation of sequence variations and tight temporal correlations in the topological structure of the phylogenetic trees. These results suggest that our evolutionary trajectory analysis (ETA) can more effectively pinpoint the evolutionary history of viruses, including the host and geographical location traversed by each segment, when compared against either BLAST or traditional phylogenetic analysis alone. (C) 2014 Elsevier B.V. All rights reserved.
机译:2009年,一种新颖的H1N1大流行性流感病毒(H1N1pdm09)成为21世纪首例官方流感大流行。早期的基因组序列分析指出了该病毒的猪源。在这里,我们报告一种新颖的计算方法来确定病毒序列的进化轨迹,该方法使用数据驱动的核苷酸取代率估算来跟踪观察到的序列变化随时间的逐渐积累。系统发育分析和多重序列比对表明,属于H1N1pdm09谱系进化轨迹的序列在系统树的拓扑结构中逐渐积累了序列变异和紧密的时间相关性。这些结果表明,与单独的BLAST或传统的系统发育分析相比,我们的进化轨迹分析(ETA)可以更有效地查明病毒的进化历史,包括每个区段所遍历的宿主和地理位置。 (C)2014 Elsevier B.V.保留所有权利。

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