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How to Classify Influenza A Viruses and Understand Their Severity

机译:如何分类甲型流感病毒并了解其严重性

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摘要

As an application of the chaos degree introduced in the framework of information adaptive dynamics, we study the classification of the Influenza A viruses. What evolutional processes determine the severity and the ability for transmission among human of influenza A viruses? We performed phylogenetic classifications of influenza A viruses that were sampled between 1918 and 2009 by using a measure called entropic chaos degree, that was developed through the study of chaos in information dynamics. The phylogenetic analysis of the internal protein (PB2, PB1, PA, NS, Ml, M2, NS1, and NS2) indicated that Influenza A viruses adapting to human and transmitting among human were clearly distinguished from swine lineage and avian lineage. Furthermore, the HA, NA, and internal proteins of the influenza strain that caused a pandemic or a severe epidemic with high mortality were phylogenetically different from those from previous pandemic and severe epidemic strains. We have come to the conclusion that the internal protein has a significant impact on the ability for transmission among human. Based of this study, we are convinced that entropic chaos degree is very useful as a measure of understanding the classification and severity of an isolated strain of influenza A virus.
机译:作为在信息自适应动力学框架中引入的混沌度的一种应用,我们研究了甲型流感病毒的分类。哪些进化过程决定了甲型流感病毒在人类中传播的严重性和传播能力?我们对1918年至2009年之间采样的A型流感病毒进行了系统发育分类,方法是使用一种称为熵混沌度的方法,该方法是通过研究信息动态中的混沌而开发的。对内部蛋白(PB2,PB1,PA,NS,M1,M2,NS1和NS2)的系统发育分析表明,适应人类并在人类之间传播的甲型流感病毒与猪谱系和禽类谱系有明显区别。此外,引起高流行或大流行的严重流行病的流感病毒株的HA,NA和内部蛋白在系统发育上不同于以前的流行病和严重流行病株。我们得出的结论是,内部蛋白质对人类之间的传播能力具有重大影响。基于这项研究,我们相信,熵混沌度对于了解甲型流感病毒分离株的分类和严重性非常有用。

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  • 来源
    《Open Systems & Information Dynamics》 |2010年第3期|p.297-310|共14页
  • 作者单位

    Department of Information Science, Tokyo University of Science Noda City, Chiba 278-8510, Japan;

    Department of Information Science, Tokyo University of Science Noda City, Chiba 278-8510, Japan;

    Department of Information Science, Tokyo University of Science Noda City, Chiba 278-8510, Japan;

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