Center for Influenza and Emerging Diseases, University of Missouri, Columbia, MO, USA.
Department of Electrical Engineering & Computer Science, College of Engineering, University of Missouri, Columbia, MO, USA.
Emerg Microbes Infect. 2024 Dec;13(1):2400530. doi: 10.1080/22221751.2024.2400530. Epub 2024 Oct 1.
Multiple genetic variants of H1 and H3 influenza A viruses (IAVs) circulate concurrently in US swine farms. Understanding the spatial transmission patterns of IAVs among these farms is crucial for developing effective control strategies and mitigating the emergence of novel IAVs. In this study, we analysed 1909 IAV genomic sequences from 785 US swine farms, representing 33 farming systems across 12 states, primarily in the Midwest from 2004 to 2023. Bayesian phylogeographic analyses were performed to identify the dispersal patterns of both H1 and H3 virus genetic lineages and to elucidate their spatial migration patterns within and between different systems. Our results showed that both intra-system and inter-system migrations occurred between the swine farms, with intra-system migrations being more frequent. However, migration rates for H1 and H3 IAVs were similar between intra-system and inter-system migration events. Spatial migration patterns aligned with expected pig movement across different compartments of swine farming systems. Sow-Farms were identified as key sources of viruses, with bi-directional migration observed between these farms and other parts of the system, including Wean-to-Finish and Gilt-Development-Units. High intra-system migration was detected across farms in the same region, while spread to geographically distant intra- and inter-system farms was less frequent. These findings suggest that prioritizing resources towards systems frequently confronting influenza problems and targeting pivotal source farms, such as sow farms, could be an effective strategy for controlling influenza in US commercial swine operations.
在美国的养猪场中,H1 和 H3 流感病毒(IAV)的多种遗传变异株同时存在。了解这些养猪场之间 IAV 的空间传播模式对于制定有效的控制策略和减轻新型 IAV 的出现至关重要。在本研究中,我们分析了来自美国 785 个养猪场的 1909 个 IAV 基因组序列,这些养猪场代表了 12 个州的 33 种养殖系统,主要集中在美国中西部地区,时间跨度为 2004 年至 2023 年。我们进行了贝叶斯系统地理学分析,以确定 H1 和 H3 病毒遗传谱系的扩散模式,并阐明它们在不同系统内和系统间的空间迁移模式。我们的研究结果表明,猪场内和猪场内都发生了系统间的迁移,其中猪场内的迁移更为频繁。然而,H1 和 H3 IAV 的迁移率在系统内和系统间的迁移事件中相似。空间迁移模式与不同养猪系统不同隔间中猪的预期移动方向一致。母猪场被确定为病毒的主要来源,这些农场与系统的其他部分(包括断奶至育肥场和后备母猪场)之间存在双向迁移。在同一地区的农场之间检测到高的系统内迁移,而向地理上遥远的系统内和系统间农场的传播则较少。这些发现表明,将资源优先用于经常面临流感问题的系统,并针对关键的源头农场(如母猪场),可能是控制美国商业养猪场流感的有效策略。