Li Ruiyun, Zhang Tao, Bai Yuqi, Li Haochuan, Wang Yong, Bi Yuhai, Chang Jianyu, Xu Bing
State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science Beijing Normal University, Beijing, China.
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science Tsinghua University, Beijing, China.
Front Public Health. 2018 Jul 27;6:210. doi: 10.3389/fpubh.2018.00210. eCollection 2018.
The on-going reassortment, human-adapted mutations, and spillover events of novel A(H7N9) avian influenza viruses pose a significant challenge to public health in China and globally. However, our understanding of the factors that disseminate the viruses and drive their geographic distributions is limited. We applied phylogenic analysis to examine the inter-subtype interactions between H7N9 viruses and the closest H9N2 lineages in China during 2010-2014. We reconstructed and compared the inter-provincial live poultry trading and viral propagation network via phylogeographic approach and network similarity technique. The substitution rates of the isolated viruses in live poultry markets and the characteristics of localized viral evolution were also evaluated. We discovered that viral propagation was geographically-structured and followed the live poultry trading network in China, with distinct north-to-east paths of spread and circular transmission between eastern and southern regions. The epicenter of H7N9 has moved from the Shanghai-Zhejiang region to Guangdong Province was also identified. Besides, higher substitution rate was observed among isolates sampled from live poultry markets, especially for those H7N9 viruses. Live poultry trading in China may have driven the network-structured expansion of the novel H7N9 viruses. From this perspective, long-distance geographic expansion of H7N9 were dominated by live poultry movements, while at local scales, diffusion was facilitated by live poultry markets with highly-evolved viruses.
新型A(H7N9)禽流感病毒持续的基因重配、适应人类的突变及溢出事件对中国乃至全球的公共卫生构成了重大挑战。然而,我们对传播这些病毒并推动其地理分布的因素的了解有限。我们应用系统发育分析来研究2010 - 2014年期间中国H7N9病毒与最接近的H9N2谱系之间的亚型间相互作用。我们通过系统地理学方法和网络相似性技术重建并比较了省际活禽交易和病毒传播网络。还评估了活禽市场中分离病毒的替换率以及局部病毒进化的特征。我们发现病毒传播具有地理结构,并在中国遵循活禽交易网络,具有从北到东的独特传播路径以及东部和南部地区之间的循环传播。还确定了H7N9的疫情中心已从上海 - 浙江地区转移至广东省。此外,在从活禽市场采集的分离株中观察到更高的替换率,尤其是那些H7N9病毒。中国的活禽交易可能推动了新型H7N9病毒的网络结构扩张。从这个角度来看,H7N9的远距离地理扩张以活禽移动为主导,而在局部尺度上,具有高度进化病毒的活禽市场促进了病毒扩散。