Vrancken Bram, Suchard Marc A, Lemey Philippe
Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven - University of Leuven, B-3000 Leuven, Belgium.
Department of Biomathematics, University of California, Los Angeles, CA 90095, USA.
Virus Evol. 2017 Oct 6;3(2):vex028. doi: 10.1093/ve/vex028. eCollection 2017 Jul.
Analyses of virus evolution in known transmission chains have the potential to elucidate the impact of transmission dynamics on the viral evolutionary rate and its difference within and between hosts. Lin et al. (2015, , 89/7: 3512-22) recently investigated the evolutionary history of hepatitis B virus in a transmission chain and postulated that the 'colonization-adaptation-transmission' model can explain the differential impact of transmission on synonymous and non-synonymous substitution rates. Here, we revisit this dataset using a full probabilistic Bayesian phylogenetic framework that adequately accounts for the non-independence of sequence data when estimating evolutionary parameters. Examination of the transmission chain data under a flexible coalescent prior reveals a general inconsistency between the estimated timings and clustering patterns and the known transmission history, highlighting the need to incorporate host transmission information in the analysis. Using an explicit genealogical transmission chain model, we find strong support for a transmission-associated decrease of the overall evolutionary rate. However, in contrast to the initially reported larger transmission effect on non-synonymous substitution rate, we find a similar decrease in both non-synonymous and synonymous substitution rates that cannot be adequately explained by the colonization-adaptation-transmission model. An alternative explanation may involve a transmission/establishment advantage of hepatitis B virus variants that have accumulated fewer within-host substitutions, perhaps by spending more time in the covalently closed circular DNA state between each round of viral replication. More generally, this study illustrates that ignoring phylogenetic relationships can lead to misleading evolutionary estimates.
对已知传播链中病毒进化的分析,有潜力阐明传播动态对病毒进化速率及其在宿主内部和宿主之间差异的影响。Lin等人(2015年,《美国国家科学院院刊》,89/7: 3512 - 22)最近研究了一个传播链中乙型肝炎病毒的进化历史,并推测“定植 - 适应 - 传播”模型可以解释传播对同义替换率和非同义替换率的不同影响。在此,我们使用一个完整的概率贝叶斯系统发育框架重新审视该数据集,该框架在估计进化参数时充分考虑了序列数据的非独立性。在灵活的溯祖先验下对传播链数据的检验揭示,估计的时间和聚类模式与已知传播历史之间普遍存在不一致,这突出了在分析中纳入宿主传播信息的必要性。使用一个明确的谱系传播链模型,我们发现有力支持总体进化速率因传播而降低。然而,与最初报道的传播对非同义替换率有更大影响不同,我们发现非同义替换率和同义替换率都有类似的降低,这无法用“定植 - 适应 - 传播”模型充分解释。一种替代解释可能涉及乙型肝炎病毒变体的传播/建立优势,这些变体在宿主内积累的替换较少,也许是因为在每一轮病毒复制之间在共价闭合环状DNA状态下花费了更多时间。更普遍地说,这项研究表明忽略系统发育关系会导致误导性的进化估计。