Department of Geographical and Sustainability Sciences, University of Iowa, Iowa City, Iowa, United States of America.
Department of Epidemiology, University of Iowa, Iowa City, Iowa, United States of America.
PLoS One. 2023 May 17;18(5):e0284716. doi: 10.1371/journal.pone.0284716. eCollection 2023.
Identifying the spatial patterns of genetic structure of influenza A viruses is a key factor for understanding their spread and evolutionary dynamics. In this study, we used phylogenetic and Bayesian clustering analyses of genetic sequences of the A/H1N1pdm09 virus with district-level locations in mainland China to investigate the spatial genetic structure of the A/H1N1pdm09 virus across human population landscapes. Positive correlation between geographic and genetic distances indicates high degrees of genetic similarity among viruses within small geographic regions but broad-scale genetic differentiation, implying that local viral circulation was a more important driver in the formation of the spatial genetic structure of the A/H1N1pdm09 virus than even, countrywide viral mixing and gene flow. Geographic heterogeneity in the distribution of genetic subpopulations of A/H1N1pdm09 virus in mainland China indicates both local to local transmission as well as broad-range viral migration. This combination of both local and global structure suggests that both small-scale and large-scale population circulation in China is responsible for viral genetic structure. Our study provides implications for understanding the evolution and spread of A/H1N1pdm09 virus across the population landscape of mainland China, which can inform disease control strategies for future pandemics.
确定流感 A 病毒的遗传结构的空间模式是理解其传播和进化动态的关键因素。在这项研究中,我们使用中国大陆地区 A/H1N1pdm09 病毒的遗传序列的系统发育和贝叶斯聚类分析,调查了 A/H1N1pdm09 病毒在人类种群景观中的空间遗传结构。地理和遗传距离之间的正相关表明,在小地理区域内病毒之间具有高度的遗传相似性,但存在广泛的遗传分化,这表明局部病毒循环是 A/H1N1pdm09 病毒空间遗传结构形成的更重要驱动因素,甚至超过了全国范围内的病毒混合和基因流。中国大陆 A/H1N1pdm09 病毒遗传亚群分布的地理异质性表明存在局部到局部的传播以及广泛的病毒迁移。这种局部和全球结构的组合表明,中国的小规模和大规模人口流动都与病毒的遗传结构有关。我们的研究为理解 A/H1N1pdm09 病毒在中国大陆人口景观中的进化和传播提供了启示,这可以为未来的大流行提供疾病控制策略。