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Role of Positive Selection Pressure on the Evolution of H5N1 Hemagglutinin

Role of Positive Selection Pressure on the Evolution of H5N1 Hemagglutinin

作     者:Venkata R.S.K. Duvvuri Bhargavi Duvvuri Wilfred R. Cuff Gillian E. Wu Jianhong Wu 

作者机构:Center for Disease Modeling York Institute of Health Research York University Toronto Ontario M3J 1P3 Canada School of Kinesiology and Health Sciences York University Toronto Ontario M3J 1P3 Canada National Microbiology Laboratory Public Health Agency of Canada Winnipeg Manitoba R3E 3R2 Canada Department of Mathematics and Statistics York University Toronto Ontario M3J IP3 Canada 

出 版 物:《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报(英文版))

年 卷 期:2009年第7卷第1期

页      面:47-56页

核心收录:

学科分类:090601[农学-基础兽医学] 09[农学] 0906[农学-兽医学] 

基  金:supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) the Canadian Research Chairs Program (CRC) the Mathematics for Information Technology and Complex Systems (MITACS) the support from the Canadian Network of Centers of Excellence, MITACS 

主  题:positive selection H5N1 hemagglutinin epitope bioinformatics 

摘      要:The surface glycoprotein hemagglutinin (HA) helps the influenza A virus to evade the host immune system by antigenic variation and is a major driving force for viral evolution. In this study, the selection pressure on HA of H5N1 influenza A virus was analyzed using bioinformatics algorithms. Most of the identified positive selection (PS) sites were found to be within or adjacent to epitope sites. Some of the identified PS sites are consistent with previous experimental studies, providing further support to the biological significance of our findings. The highest frequency of PS sites was observed in recent strains isolated during 2005-2007. Phylogenetic analysis was also conducted on HA sequences from various hosts. Viral drift is almost similar in both avian and human species with a progressive trend over the years. Our study reports new mutations in functional regions of HA that might provide markers for vaccine design or can be used to predict isolates of pandemic potential.

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