Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
The Alan Turing Institute, London, United Kingdom.
Mol Biol Evol. 2018 Jun 1;35(6):1348-1354. doi: 10.1093/molbev/msy088.
The evolution of viral pathogens is shaped by strong selective forces that are exerted during jumps to new hosts, confrontations with host immune responses and antiviral drugs, and numerous other processes. However, while undeniably strong and frequent, adaptive evolution is largely confined to small parts of information-packed viral genomes, and the majority of observed variation is effectively neutral. The predictions and implications of the neutral theory have proven immensely useful in this context, with applications spanning understanding within-host population structure, tracing the origins and spread of viral pathogens, predicting evolutionary dynamics, and modeling the emergence of drug resistance. We highlight the multiple ways in which the neutral theory has had an impact, which has been accelerated in the age of high-throughput, high-resolution genomics.
病毒病原体的进化受到强烈的选择压力的影响,这些选择压力在跳跃到新宿主、与宿主免疫反应和抗病毒药物的对抗以及许多其他过程中发挥作用。然而,尽管适应性进化无疑是强大而频繁的,但它主要局限于信息-packed 病毒基因组的小部分,而观察到的大多数变异实际上是中性的。中性理论的预测和含义在这种情况下已经被证明是非常有用的,其应用范围涵盖了对宿主内种群结构的理解、追踪病毒病原体的起源和传播、预测进化动态以及模拟药物耐药性的出现。我们强调了中性理论产生影响的多种方式,在高通量、高分辨率基因组学时代,这种影响得到了加速。