尼帕病毒跨空间尺度的遗传多样性

Oscar Cortes-Azuero, Noémie Lefrancq, Birgit Nikolay, Clifton McKee, Julien Cappelle, Vibol Hul, Tey Putita Ou, Thavry Hoem, Philippe Lemey, Mohammed Ziaur Rahman, Ausraful Islam, Emily S Gurley, Veasna Duong, Henrik Salje
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摘要

背景 尼帕病毒(NiV)是一种对人类具有高度致命性的病毒,在整个南亚和东南亚地区的翼手目蝙蝠中流行。由于很难从蝙蝠身上获得病毒基因组,因此我们对尼帕病毒的多样性知之甚少。方法 我们对迄今为止最全面的基因组收集(N=257,175 个来自蝙蝠,73 个来自人类)进行了系统发育方法的开发,这些基因组来自六个国家,历时 22 年(1999-2020 年)。我们将四个主要的NiV亚系分为15个基因群。我们利用近似贝叶斯计算法(Approximate Bayesian Computation)拟合病毒多样性的空间特征,估算出每个地区是否存在基因集群以及基因集群的平均规模。结果 我们发现,在任何一个蝙蝠栖息地内,平均有 2.4 个共同循环的基因簇,在面积为 1500-2000 平方公里的区域内,则有 5.5 个基因簇。我们估计,每个基因群平均占据 130 万平方公里的面积(95%CI:60 万-230 万),在 10 万平方公里的面积上有 14 个基因群(95%CI:6-24)。我们估计,在孟加拉国和柬埔寨集中进行基因组监测的少数几个地点,已发现了大多数集群,但只发现了整个NiV多样性的15%。结论 我们的研究结果表明,即使在栖息地内,也存在根深蒂固的不同品系的共同循环,而且在更大的空间范围内迁移缓慢。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The genetic diversity of Nipah virus across spatial scales
Background Nipah virus (NiV), a highly lethal virus in humans, circulates in Pteropus bats throughout South and Southeast Asia. Difficulty in obtaining viral genomes from bats means we have a poor understanding of NiV diversity. Methods We develop phylogenetic approaches applied to the most comprehensive collection of genomes to date (N=257, 175 from bats, 73 from humans) from six countries over 22 years (1999-2020). We divide the four major NiV sublineages into 15 genetic clusters. Using Approximate Bayesian Computation fit to a spatial signature of viral diversity, we estimate the presence and the average size of genetic clusters per area. Results We find that, within any bat roost, there are an average of 2.4 co-circulating genetic clusters, rising to 5.5 clusters at areas of 1500-2000km2. We estimate that each genetic cluster occupies an average area of 1.3million km2 (95%CI: 0.6-2.3 million), with 14 clusters in an area of 100,000km2 (95%CI: 6-24). In the few sites in Bangladesh and Cambodia where genomic surveillance has been concentrated, we estimate that most clusters have been identified, but only ∼15% of overall NiV diversity has been uncovered. Conclusion Our findings are consistent with entrenched co-circulation of distinct lineages, even within roosts, coupled with slow migration over larger spatial scales.
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