Choisy Marc, Woelk Christopher H, Guégan Jean-François, Robertson David L
CEPM, UMR CNRS-IRD 9926, Montpellier, France.
J Virol. 2004 Feb;78(4):1962-70. doi: 10.1128/jvi.78.4.1962-1970.2004.
Molecular adaptation, as characterized by the detection of positive selection, was quantified in a number of genes from different human immunodeficiency virus type 1 (HIV-1) group M subtypes, group O, and an HIV-2 subtype using the codon-based maximum-likelihood method of Yang and coworkers (Z. H. Yang, R. Nielsen, N. Goldman, and A. M. K. Pedersen, Genetics 155:431-449, 2000). The env gene was investigated further since it exhibited the strongest signal for positive selection compared to those of the other two major HIV genes (gag and pol). In order to investigate the pattern of adaptive evolution across env, the location and strength of positive selection in different HIV-1 sequence alignments was compared. The number of sites having a significant probability of being positively selected varied among these different alignment data sets, ranging from 25 in HIV-1 group M subtype A to 40 in HIV-1 group O. Strikingly, there was a significant tendency for positively selected sites to be located at the same position in different HIV-1 alignments, ranging from 10 to 16 shared sites for the group M intersubtype comparisons and from 6 to 8 for the group O to M comparisons, suggesting that all HIV-1 variants are subject to similar selective forces. As the host immune response is believed to be the dominant driving force of adaptive evolution in HIV, this result would suggest that the same sites are contributing to viral persistence in diverse HIV infections. Thus, the positions of the positively selected sites were investigated in reference to the inferred locations of different epitope types (antibody, T helper, and cytotoxic T lymphocytes) and the positions of N and O glycosylation sites. We found a significant tendency for positively selected sites to fall outside T-helper epitopes and for positively selected sites to be strongly associated with N glycosylation sites.
通过检测正选择来表征的分子适应性,使用Yang及其同事基于密码子的最大似然法(Z. H. Yang、R. Nielsen、N. Goldman和A. M. K. Pedersen,《遗传学》155:431 - 449,2000年),对来自不同人类免疫缺陷病毒1型(HIV - 1)M组亚型、O组以及一种HIV - 2亚型的多个基因进行了量化。由于与其他两个主要HIV基因(gag和pol)相比,env基因表现出最强的正选择信号,因此对其进行了进一步研究。为了研究env基因适应性进化的模式,比较了不同HIV - 1序列比对中正选择的位置和强度。在这些不同的比对数据集中,具有显著正选择概率的位点数量各不相同,从HIV - 1 M组A亚型中的25个到HIV - 1 O组中的40个不等。引人注目的是,在不同的HIV - 1比对中,正选择位点有显著的倾向位于相同位置,M组亚型间比较有10到16个共享位点,O组与M组比较有6到8个共享位点,这表明所有HIV - 1变体都受到相似的选择压力。由于宿主免疫反应被认为是HIV适应性进化的主要驱动力,这一结果表明相同的位点在不同的HIV感染中对病毒持续存在起作用。因此,参照不同表位类型(抗体、T辅助细胞和细胞毒性T淋巴细胞)的推断位置以及N和O糖基化位点的位置,对正选择位点的位置进行了研究。我们发现正选择位点显著倾向于落在T辅助细胞表位之外,并且正选择位点与N糖基化位点密切相关。