de Oliveira Tulio, Salemi Marco, Gordon Michelle, Vandamme Anne-Mieke, van Rensburg Estrelita Janse, Engelbrecht Susan, Coovadia Hoosen M, Cassol Sharon
HIV Molecular Virology and Bioinformatics Laboratory, Africa Centre for Health and Population Studies, Doris Duke Medical Research Institute, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban 4013, South Africa.
Genetics. 2004 Jul;167(3):1047-58. doi: 10.1534/genetics.103.018135.
A safe and effective HIV-1 vaccine is urgently needed to control the worldwide AIDS epidemic. Traditional methods of vaccine development have been frustratingly slow, and it is becoming increasingly apparent that radical new approaches may be required. Computational and mathematical approaches, combined with evolutionary reasoning, may provide new insights for the design of an efficacious AIDS vaccine. Here, we used codon-based substitution models and maximum-likelihood (ML) methods to identify positively selected sites that are likely to be involved in the immune control of HIV-1. Analysis of subtypes B and C revealed widespread adaptive evolution. Positively selected amino acids were detected in all nine HIV-1 proteins, including Env. Of particular interest was the high level of positive selection within the C-terminal regions of the immediate-early regulatory proteins, Tat and Rev. Many of the amino acid replacements were associated with the emergence of novel (or alternative) myristylation and casein kinase II (CKII) phosphorylation sites. The impact of these changes on the conformation and antigenicity of Tat and Rev remains to be established. In rhesus macaques, a single CTL-associated amino substitution in Tat has been linked to escape from acute SIV infection. Understanding the relationship between host-driven positive selection and antigenic variation may lead to the development of novel vaccine strategies that preempt the escape process.
迫切需要一种安全有效的HIV-1疫苗来控制全球艾滋病疫情。传统的疫苗开发方法一直进展缓慢,令人沮丧,而且越来越明显的是可能需要全新的方法。计算和数学方法,结合进化推理,可能为设计有效的艾滋病疫苗提供新的见解。在这里,我们使用基于密码子的替代模型和最大似然(ML)方法来识别可能参与HIV-1免疫控制的正选择位点。对B型和C型亚型的分析揭示了广泛的适应性进化。在包括Env在内的所有九种HIV-1蛋白中都检测到了正选择的氨基酸。特别令人感兴趣的是早期调节蛋白Tat和Rev的C末端区域内的高水平正选择。许多氨基酸替换与新的(或替代的)肉豆蔻酰化和酪蛋白激酶II(CKII)磷酸化位点的出现有关。这些变化对Tat和Rev的构象和抗原性的影响仍有待确定。在恒河猴中,Tat中单个与CTL相关的氨基酸替换与从急性SIV感染中逃逸有关。了解宿主驱动的正选择与抗原变异之间的关系可能会导致开发出能够抢先阻止逃逸过程的新型疫苗策略。