Moncany M L, Courtois P R
Laboratory of Cellular and Molecular Biology, University of La Rochelle, France.
J Mol Evol. 1996 Aug;43(2):152-60. doi: 10.1007/BF02337360.
We have recently published a new probabilistic algorithm which performs genomic comparisons on a huge scale. In the present paper it was applied to immunodeficiency viral sequences extracted from international gene databanks. During global sequence analysis of human (HIV1 and HIV2) and simian viruses by means of dot-matrix representation, series of homology were obtained which permitted the definition of families of viruses overlapping the species divisions. Sequences of interest were characterized to the lexical base sentence through successive zoomings. Strain-to-strain comparison confirmed subfamily classifications and led, for example, to the identification of divergent LTR sequences. By way of example, we described the application of the algorithm to the ANT70C and MVP5180 HIV1-O viruses, for which the observed differences were shown to correspond to a deletion in the U3 region, situated between the LEF and NF-kappaB sites. It was of interest to consider these data in a tentative phylogenetic interpretation.
我们最近发表了一种新的概率算法，该算法可大规模进行基因组比较。在本文中，它被应用于从国际基因数据库中提取的免疫缺陷病毒序列。在通过点阵表示法对人类（HIV1和HIV2）和猿猴病毒进行全局序列分析期间，获得了一系列同源性，这使得能够定义跨越物种划分的病毒家族。通过连续缩放，将感兴趣的序列在词汇基本句子层面进行了表征。菌株间比较证实了亚科分类，并例如导致了不同LTR序列的鉴定。举例来说，我们描述了该算法在ANT70C和MVP5180 HIV1-O病毒上的应用，结果表明观察到的差异对应于位于LEF和NF-κB位点之间的U3区域中的一个缺失。从初步的系统发育解释角度考虑这些数据很有意义。
