禽流感病毒广东株HA基因BLSOM神经网络分型方法的建立  

Development of neural networks for batch-learning selforganizing map(BLSOM)clustering of hemagglutinin genes of avian influenza viruses isolated from Guangdong province

作　　者：田纯见[1] 罗琼[1] 高佳卉[1] 林志雄[1] 鱼海琼[1] 刘志玲[1] 陈茹[1] 吴晓薇[1] 

机构地区：[1]广东出入境检验检疫局检验检疫技术中心/广东省动植物与食品进出口技术措施研究重点实验室/国家质量监督与检验检疫总局国家禽流感检测重点实验室.广东,广东广州510623

出　　处：《广东农业科学》2016年第2期156-160,共5页Guangdong Agricultural Sciences

基　　金：国家出入境检验检疫科研项目(2015IK054);科技部国家重大科学仪器设备开发专项(2012YQ09019705)

摘　　要：利用25个禽流感病毒及相关流感病毒广东株HA基因序列,建立三、四核苷酸特征基因片段BLSOM神经网络分型方法,对各片段数量进行统计和归一化处理。设计程序由MATLAB函数模拟人脑思维自组织学习,当训练步数为100及以上各毒株能成功聚类。H1、H3、H5、H7和H9亚型主要毒株分别归为一类,其中H3N2和H7N9毒株HA基因聚类图谱高度相似,表明这些毒株起源相同;不同年代H5N1毒株差异较大;H1N1和H9N2各1个毒株聚为一类,表明这两种病毒自然重组变异,为高危毒株筛查和溯源提供参考。A neural network classification method, a batch-learning self-organizing map （BLSOM） , was established using 25 tri- and tetranucleotide in the hemagglutinin gene sequences of 25 avian influenza viruses isolated from Guangdong province. Statistics and normalization of the fragment numbers were done and MATLAB function was used to simulate the human brain thinking for self-organizing learning. When the training step was 100 and above, the strains could be successfully clustered. HI, H3, H5, H7 and H9 subtype strains were mainly classified as a class, in which the HA gene cluster profiles of H3N2 and H7N9 strains had highly similar, suggesting that these isolates origin ated from the same era; different generations of H5N1, H1N1 and H9N2 strains were quite different; each one strain of two types was clustered into one group, suggesting that the two virus had recombinant variants, to provide reference for screening high-risk strains and traceability.

关 键 词：禽流感病毒 BLSOM HA基因 神经网络 分型 

分 类 号：S855.3[农业科学—临床兽医学] S858.3[农业科学—兽医学]