禽白血病病毒贵州流行株gp85基因的序列分析

发布时间：2018-05-08 13:50

本文选题：禽白血病病毒 + gp基因　；参考：《中国家禽》2017年12期

【摘要】：为了解禽白血病病毒(ALV)gp85基因的特点,采用Primer Premier 5.0设计一对特异性引物,对gp85基因进行扩增、克隆及序列测定,用相关生物学软件对贵州流行株gp85基因进行序列分析,并对其编码蛋白进行二级结构、B细胞表位、保守结构域、跨膜结构域和信号肽预测。测序获得921 bp长的序列,将此流行株命名为ALV-GZ-16。分析发现,流行株ALV-GZ-16的gp85基因核苷酸序列与J亚群中国分离毒株的gp85基因序列同源性为97.5%~99.9%,其编码的氨基酸序列与J亚群中国分离毒株的同源性为96.8%~99.7%;系统进化分析显示,该流行株与J亚群原型毒株处于同一分支,与贵州分离株GZN49处于同一小分支;其二级结构中无规则卷曲和β-折叠所占比例较大;预测此蛋白存在4个B细胞优势抗原表位,无跨膜结构和信号肽区域。研究结果进一步完善了贵州省禽白血病病毒流行株的生物学特性,为gp85蛋白特异性抗体的制备提供一定的理论基础。
[Abstract]:In order to understand the characteristics of ALV gp85 gene of avian leukemia virus, a pair of specific primers were designed by Primer Premier 5.0 to amplify, clone and sequence the gp85 gene. The gp85 gene of Guizhou epidemic strain was sequenced by using relevant biological software. B cell epitopes, conserved domains, transmembrane domains and signal peptides were predicted. The 921 BP long sequence was obtained by sequencing, and the popular strain was named ALV-GZ-16. It was found that the nucleotide sequence of gp85 gene of epidemic strain ALV-GZ-16 and the sequence of gp85 gene of subgroup J Chinese isolate were 97.559% and 99.9%, respectively, and the amino acid sequence encoded by them was 96.889% and 99.7% respectively, and the phylogenetic analysis showed that the nucleotide sequence of gp85 gene of epidemic strain ALV-GZ-16 was 97.8% and 99.7% of that of Chinese isolate strain of subgroup J, respectively. The epidemic strain was in the same branch as the prototype strain of subgroup J, and was in the same branch as the Guizhou isolate GZN49, and had a large proportion of irregular curl and 尾 -folding in its secondary structure, and predicted the existence of 4 B cell dominant antigen epitopes. No transmembrane structure and signal peptide region. The results further improved the biological characteristics of avian leukemia virus epidemic strains in Guizhou province and provided a theoretical basis for the preparation of specific antibodies against gp85 protein.
【作者单位】：贵州大学动物科学学院;贵州省动物疫病与兽医公共卫生重点实验室;贵州大学大数据与信息工程学院;
【基金】：贵州省科技厅、贵州大学联合资金计划(黔科合LH字[2014]7666) 国家自然科学基金(国科金计项[2014]44号) 贵州大学博士基金(贵大人基合字[2013]12号)
【分类号】：S852.65

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