Patiño-Galindo Juan Ángel, González-Candelas Fernando
Unidad Mixta Infección y Salud Pública FISABIO-Salud Pública/Universitat de València, Institute for Integrative Systems Biology (I2SysBio), CIBERESP, c/Catedratico Jose Beltran, 2, 46980 Paterna, Valencia, Spain.
Virus Evol. 2017 Oct 20;3(2):vex029. doi: 10.1093/ve/vex029. eCollection 2017 Jul.
HIV-1M causes most infections in the AIDS pandemic. Its genetic diversity is defined by nine pure subtypes and more than sixty recombinant forms. We have performed a comparative analysis of the evolutionary rate of five pure subtypes (A1, B, C, D, and G) and two circulating recombinant forms (CRF01_AE and CRF02 AG) using data obtained from nearly complete genome coding sequences. Times to the most recent common ancestor (tMRCA) and substitution rates of these HIV genomes, and their genomic partitions, were estimated by Bayesian coalescent analyses. Genomic substitution rate estimates were compared between the HIV-1 datasets analyzed by means of randomization tests. Significant differences in the rate of evolution were found between subtypes, with subtypes C and A1 and CRF01_AE displaying the highest rates. On the other hand, CRF02_AG and subtype D were the slowest evolving types. Using a different molecular clock model for each genomic partition led to more precise tMRCA estimates than when linking the same clock along the HIV genome. Overall, the earliest tMRCA corresponded to subtype A1 (median = 1941, 95% HPD = 1943-55), whereas the most recent tMRCA corresponded to subtype G and CRF01_AE subset 3 (median = 1971, 95% HPD = 1967-75 and median = 1972, 95% HPD = 1970-75, respectively). These results suggest that both biological and epidemiological differences among HIV-1M subtypes are reflected in their evolutionary dynamics. The estimates obtained for tMRCAs and substitution rates provide information that can be used as prior distributions in future Bayesian coalescent analyses of specific HIV-1 subtypes/CRFs and genes.
HIV-1M在艾滋病大流行中导致了大多数感染。其基因多样性由9种纯亚型和60多种重组形式定义。我们使用从几乎完整的基因组编码序列获得的数据,对5种纯亚型(A1、B、C、D和G)和2种流行重组形式(CRF01_AE和CRF02_AG)的进化速率进行了比较分析。通过贝叶斯合并分析估计了这些HIV基因组及其基因组分区到最近共同祖先的时间(tMRCA)和替换率。通过随机化测试比较了所分析的HIV-1数据集之间的基因组替换率估计值。发现各亚型之间的进化速率存在显著差异,C亚型、A1亚型和CRF01_AE显示出最高的进化速率。另一方面,CRF02_AG和D亚型是进化最慢的类型。对每个基因组分区使用不同的分子钟模型,比在整个HIV基因组中使用相同的分子钟能得到更精确的tMRCA估计值。总体而言,最早的tMRCA对应于A1亚型(中位数 = 1941,95% HPD = 1943 - 55),而最近的tMRCA对应于G亚型和CRF01_AE子集3(中位数分别为 = 1971,95% HPD = 1967 - 75和中位数 = 1972,95% HPD = 1970 - 75)。这些结果表明,HIV-1M亚型之间的生物学和流行病学差异都反映在它们的进化动态中。获得的tMRCA和替换率估计值提供了可在未来对特定HIV-1亚型/CRF和基因进行贝叶斯合并分析时用作先验分布的信息。