Kim Kiyeon, Omori Ryosuke, Ueno Keisuke, Iida Sayaka, Ito Kimihito
Division of Bioinformatics, Research Center for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, Japan.
PRESTO, Japan Science and Technology Agency (JST), 4-1-8 Honcho, Kawaguchi, Saitama, Japan.
PLoS One. 2016 Jan 13;11(1):e0147021. doi: 10.1371/journal.pone.0147021. eCollection 2016.
Understanding the evolutionary dynamics of influenza viruses is essential to control both avian and human influenza. Here, we analyze host-specific and segment-specific Tajima's D trends of influenza A virus through a systematic review using viral sequences registered in the National Center for Biotechnology Information. To avoid bias from viral population subdivision, viral sequences were stratified according to their sampling locations and sampling years. As a result, we obtained a total of 580 datasets each of which consists of nucleotide sequences of influenza A viruses isolated from a single population of hosts at a single sampling site within a single year. By analyzing nucleotide sequences in the datasets, we found that Tajima's D values of viral sequences were different depending on hosts and gene segments. Tajima's D values of viruses isolated from chicken and human samples showed negative, suggesting purifying selection or a rapid population growth of the viruses. The negative Tajima's D values in rapidly growing viral population were also observed in computer simulations. Tajima's D values of PB2, PB1, PA, NP, and M genes of the viruses circulating in wild mallards were close to zero, suggesting that these genes have undergone neutral selection in constant-sized population. On the other hand, Tajima's D values of HA and NA genes of these viruses were positive, indicating HA and NA have undergone balancing selection in wild mallards. Taken together, these results indicated the existence of unknown factors that maintain viral subtypes in wild mallards.
了解流感病毒的进化动态对于控制禽流感和人流感至关重要。在此,我们通过使用美国国立生物技术信息中心注册的病毒序列进行系统综述,分析甲型流感病毒宿主特异性和片段特异性的 Tajima's D 趋势。为避免病毒群体细分带来的偏差,病毒序列根据其采样地点和采样年份进行分层。结果,我们总共获得了580个数据集,每个数据集由一年内从单个采样地点的单一宿主群体中分离出的甲型流感病毒的核苷酸序列组成。通过分析数据集中的核苷酸序列,我们发现病毒序列的 Tajima's D 值因宿主和基因片段而异。从鸡和人类样本中分离出的病毒的 Tajima's D 值呈阴性,表明存在纯化选择或病毒群体的快速增长。在计算机模拟中也观察到快速增长的病毒群体中 Tajima's D 值为负。在野鸭中传播的病毒的 PB2、PB1、PA、NP 和 M 基因的 Tajima's D 值接近零,表明这些基因在恒定大小的群体中经历了中性选择。另一方面,这些病毒的 HA 和 NA 基因的 Tajima's D 值为正,表明 HA 和 NA 在野鸭中经历了平衡选择。综上所述,这些结果表明存在维持野鸭中病毒亚型的未知因素。