Unidade de Microbiologia Médica, Grupo de Virologia, Unidade de Parasitologia e Microbiologia Médicas (UPMM), Instituto de Higiene e Medicina Tropical (IHMT)/Universidade Nova de Lisboa (UNL), Rua da Junqueira 100, P-1349-008 Lisboa, Portugal.
Infect Genet Evol. 2012 Jan;12(1):86-93. doi: 10.1016/j.meegid.2011.10.011. Epub 2011 Oct 25.
GBV-C is a non-pathogenic virus that is largely dispersed in different human populations. The phylogenetic analysis of the 5'-untranslated region (5'UTR) of the GBV-C genome has led to the segregation of viral strains into six genotypes, but incongruent results are frequently obtained depending on the genome region analyzed. In this report, different phylogenetic approaches and multivariate statistics were combined to disclose evolutionary patterns that contribute to shape GBV-C evolution. The data here presented indicate: (i) that the phylogenetic noise was mostly determined by the size of the analyzed sequence, rather than by its position on the viral genome; (ii) that most genomic segments in the coding sequence seemed to evolve under a similar evolution model, which was different from that which best fits the 5'UTR, with overall large heterogeneity of rate change across the sequence; (iii) that due to saturation of transversions occurring in the 5'UTR at genetic distances <0.10, care should be taken in drawing conclusions about the tree topologies involving the deeper branches, especially when using distance-based methods; (iv) that a non-uniform distribution of InSi and dS occurs over the viral ORF highlighting regions of the viral genome with remarkably low levels of silent substitutions, and implying that the observed differences may contribute to the detected phylogenetic incongruences; and finally (v) that genetic recombination clearly impacts the GBV-C evolution extensively, this being shown for both reference genomes and NS5B GBV-C sequences amplified from Portuguese residents.
GBV-C 是一种非致病性病毒,广泛存在于不同的人群中。对 GBV-C 基因组 5'非翻译区(5'UTR)的系统发育分析导致病毒株分为六个基因型,但根据分析的基因组区域,经常得到不一致的结果。在本报告中,结合了不同的系统发育方法和多变量统计,以揭示有助于塑造 GBV-C 进化的进化模式。这里提供的数据表明:(i)系统发育噪声主要由分析序列的大小决定,而不是由其在病毒基因组上的位置决定;(ii)编码序列中的大多数基因组片段似乎在相似的进化模型下进化,这与最适合 5'UTR 的进化模型不同,整个序列的变化率存在很大的异质性;(iii)由于在遗传距离<0.10 时 5'UTR 中颠换的饱和,在涉及深层分支的树拓扑结构中得出结论时应谨慎,特别是在使用基于距离的方法时;(iv)在病毒 ORF 上不均匀分布的 InSi 和 dS 突出了病毒基因组中沉默替换水平显著较低的区域,这意味着观察到的差异可能有助于解释检测到的系统发育不一致;最后(v)遗传重组显然广泛影响了 GBV-C 的进化,这在参考基因组和从葡萄牙居民中扩增的 NS5B GBV-C 序列中都得到了证明。