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首页> 外文会议>28th National Radio Science Conference >Genomic signatures and associative classification of the Hemagglutinin protein for Human versus Avian versus Swine influenza A viruses
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Genomic signatures and associative classification of the Hemagglutinin protein for Human versus Avian versus Swine influenza A viruses

机译：人，禽，猪甲型流感病毒血凝素蛋白的基因组特征和相关分类

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Global outbreaks of human influenza arise from influenza A viruses with novel Hemagglutinin (HA) molecules to which humans have no immunity. So understanding of the origin and evolution of HA genes is of particular importance. Here, genomic signatures of the HA protein in different hosts was identified and associative classification for host-typing was conducted. We therefore conducted multiple-sequence alignment and detecting the most statistically significant differences between human, avian and swine group of sequences using VESPA, then applying class associative rule mining to identify amino acid'conserving positions that are specific to host species, called signatures. We applied strict thresholds to select only markers which are highly preserved in each influenza virus host isolates over time. Also, the two Sample sequence logo server was used to identify and confirm significant variations between the hosts. Host-specific signatures have created from scanning 1500 sequences of HA from human, swine and avian influenza A viruses. A total of 9, 31, 11, 6, 22, and 31 most informative positions of 560 amino acid residues yielded significant differences between Avian vs. Human, Human vs. Avian, Human vs. Swine, Swine vs. Human, Avian vs. Swine, and Swine vs. Avian respectively. Positions 438K, 458N and 286V were associated with avian, human and swine respectively, with support and confidence of (90.7% and 79.5%), (82.8% and 92.9%) and (51.4% and 98%) respectively. Host-specific class association rules aid in the prediction of prognostic biomarkers and improve the accuracy of prognosis.
机译：人类流行性感冒的全球爆发源于具有新型血凝素（HA）分子的人类不具有免疫力的甲型流感病毒。因此，了解HA基因的起源和进化尤为重要。在此，鉴定了不同宿主中HA蛋白的基因组特征，并进行了宿主类型的相关分类。因此，我们进行了多序列比对，并使用VESPA检测了人类，禽类和猪群之间在统计学上最显着的差异，然后应用类别关联规则挖掘来识别宿主物种特有的氨基酸保守位置（称为签名）。我们应用严格的阈值来选择仅随时间推移在每种流感病毒宿主分离物中高度保存的标记。此外，两个Sample Sequence Logo Server被用来识别和确认主机之间的显着差异。通过扫描人，猪和禽流感A病毒的1500个HA序列，可以创建特定于宿主的特征码。总共560个氨基酸残基的9、31、11、6、22和31个最有用的位置在禽与人，人与禽，人与猪，猪与人，禽与鸟之间产生了显着差异。猪，分别是猪与禽。 438K，458N和286V位置分别与禽，人和猪相关，其支持和置信度分别为（90.7％和79.5％），（82.8％和92.9％）和（51.4％和98％）。特定于宿主的类别关联规则有助于预测生物标志物的预后并提高预后的准确性。

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