SEQUENCE VARIABILITY OF BOVINE LEUKEMIA-VIRUS ENV GENE AND ITS RELEVANCE TO THE STRUCTURE AND ANTIGENICITY OF THE GLYCOPROTEINS
SEQUENCE VARIABILITY OF BOVINE LEUKEMIA-VIRUS ENV GENE AND ITS RELEVANCE TO THE STRUCTURE AND ANTIGENICITY OF THE GLYCOPROTEINS
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DOI：
10.1128/jvi.64.9.4180-4188.1990
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发表时间：
1990-09-01
影响因子：
5.4
通讯作者：
GUILLEMAIN, B
中科院分区：
文献类型：
--
作者：
MAMOUN, RZ;MORISSON, M;GUILLEMAIN, B
比较了七种牛白血病病毒的 env 基因的核苷酸序列和编码的肽序列，目的是（i）确定来自不同地理区域的牛白血病病毒分离株的遗传距离，（ii）鉴定有助于序列和构象表位的特定氨基酸，以及（iii）将这些表位与其在 gp51 表面糖蛋白结构的三维模型中的预计位置相关联。清楚地鉴定了两个牛白血病病毒亚群，日美亚群以λBLV-1、VdM和FLK-BLV毒株为代表，欧洲亚群以毒株T15-2、LB285和LB59为代表。可以鉴定对于确定中和单克隆和多克隆抗体识别的三个表位（F、G和H）很重要的氨基酸。在模型上，这些表位相邻并位于分子的暴露区域。鉴定出了第四个隐藏表位的氨基酸序列；正如模型预测的那样，它们位于参与糖蛋白亚基关联的区域中可中和表位的对面。该区域通常不暴露在病毒体表面的事实为该模型的有效性提供了进一步的证据。
The nucleotide sequences of the env genes of seven bovine leukemia viruses and the encoded peptide sequence were compared, with the objective of (i) determining the genetic distance separating bovine leukemia virus isolates from different geographical regions, (ii) identifying particular amino acids that contribute to the sequential and conformational epitopes, and (iii) relating such epitopes to their projected position in a three-dimensional model of the structure of the gp51 surface glycoprotein. Two bovine leukemia virus subgroups were clearly identified, a Japanese-American subgroup represented by strains .lambda.BLV-1, VdM, and FLK-BLV and a European subgroup by strains T15-2, LB285, and LB59. It was possible to identify amino acids that were important in determining three of the epitopes (F, G, and H) recognized by neutralizng monoclonal and polyclonal antibodies. On the model, these epitopes were adjacent and located on the exposed region of the molecule. Amino acid sequences contributing to a fourth cryptic epitope were identified; as predicted by the model, they lay on the opposite side to the neutralizable epitopes in a region involved in glycoprotein subunit association. The fact that this region is not normally exposed on the virion surface provides further evidence for the validity of the model.