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结合病毒遗传和动物移动性网络数据揭示西非小反刍兽疫的传播动态。

Combining viral genetic and animal mobility network data to unravel peste des petits ruminants transmission dynamics in West Africa.

机构信息

ASTRE, Univ Montpellier, CIRAD, INRAE, Montpellier, France.

CIRAD, UMR ASTRE, Montpellier, France.

出版信息

PLoS Pathog. 2021 Mar 18;17(3):e1009397. doi: 10.1371/journal.ppat.1009397. eCollection 2021 Mar.

DOI:10.1371/journal.ppat.1009397
PMID:33735294
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8009415/
Abstract

Peste des petits ruminants (PPR) is a deadly viral disease that mainly affects small domestic ruminants. This disease threaten global food security and rural economy but its control is complicated notably because of extensive, poorly monitored animal movements in infected regions. Here we combined the largest PPR virus genetic and animal mobility network data ever collected in a single region to improve our understanding of PPR endemic transmission dynamics in West African countries. Phylogenetic analyses identified the presence of multiple PPRV genetic clades that may be considered as part of different transmission networks evolving in parallel in West Africa. A strong correlation was found between virus genetic distance and network-related distances. Viruses sampled within the same mobility communities are significantly more likely to belong to the same genetic clade. These results provide evidence for the importance of animal mobility in PPR transmission in the region. Some nodes of the network were associated with PPRV sequences belonging to different clades, representing potential "hotspots" for PPR circulation. Our results suggest that combining genetic and mobility network data could help identifying sites that are key for virus entrance and spread in specific areas. Such information could enhance our capacity to develop locally adapted control and surveillance strategies, using among other risk factors, information on animal mobility.

摘要

小反刍兽疫(PPR)是一种致命的病毒性疾病,主要影响小型家养反刍动物。这种疾病威胁着全球粮食安全和农村经济,但由于受感染地区广泛、监测不力的动物流动,其控制变得复杂。在这里,我们将该地区有史以来收集到的最大规模的 PPR 病毒遗传和动物流动网络数据结合起来,以增进我们对西非国家 PPR 地方性传播动态的了解。系统发育分析确定了存在多个 PPRV 遗传分支,这些分支可能被视为在西非同时平行进化的不同传播网络的一部分。病毒遗传距离与网络相关距离之间存在很强的相关性。在同一流动社区内采样的病毒更有可能属于同一遗传分支。这些结果为动物流动在该地区 PPR 传播中的重要性提供了证据。网络中的一些节点与属于不同分支的 PPRV 序列相关,代表 PPR 循环的潜在“热点”。我们的结果表明,结合遗传和流动网络数据可以帮助确定在特定地区对病毒进入和传播至关重要的地点。此类信息可以提高我们利用动物流动等风险因素制定适应当地情况的控制和监测策略的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/2c566eb961d9/ppat.1009397.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/afaf132e582d/ppat.1009397.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/5ab056800632/ppat.1009397.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/fd18c575033c/ppat.1009397.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/f24cc6549f4b/ppat.1009397.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/08ca6095426e/ppat.1009397.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/2c566eb961d9/ppat.1009397.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/afaf132e582d/ppat.1009397.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/8bb1e0538dc5/ppat.1009397.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/5ab056800632/ppat.1009397.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/fd18c575033c/ppat.1009397.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/f24cc6549f4b/ppat.1009397.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/08ca6095426e/ppat.1009397.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b477/8009415/2c566eb961d9/ppat.1009397.g007.jpg

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