Seasonal dynamics of the wild rodent faecal virome.

Seasonal dynamics of the wild rodent faecal virome.
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DOI:
10.1111/mec.16778
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发表时间:
2023-09
期刊:
影响因子:
4.9
通讯作者:
Pybus OG
Pybus OG
中科院分区:
生物学1区
文献类型:
--
作者:
Raghwani J;Faust CL;François S;Nguyen D;Marsh K;Raulo A;Hill SC;Parag KV;Simmonds P;Knowles SCL;Pybus OG

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野生动物中的病毒发现研究通常依赖于单个时间点的横断面调查。因此,我们对野生动物病毒组的时间稳定性的理解仍然没有得到很好的解决。虽然对单一宿主-病毒系统的研究表明,宿主和环境因素影响季节性病毒传播动态,但缺乏对多个宿主中整个病毒群落的类似见解。利用来自长期野生啮齿动物研究的非侵入性粪便样本,我们表征了三种常见欧洲啮齿动物物种(Apodemus sylvaticus,A. flavicollis和M.唐菖蒲)生活在温带林地超过一年。我们的研究结果表明,相当一部分啮齿动物病毒是季节性短暂的,并与脊椎动物或细菌宿主。对最常见的病毒科之一小核糖核酸病毒科的进一步分析表明,病毒丰富度和均匀度的时间变化明显,这与宿主密度、环境温度、降雨量和湿度的同时和长达3个月的滞后有关,表明宿主和环境因素对病毒传播和季节性栖息地脱落的复杂反馈。总体而言,这项研究强调了了解野生动物病毒组季节动态的重要性,以便更好地预测和减轻人畜共患病风险。
Viral discovery studies in wild animals often rely on cross-sectional surveys at a single time point. As a result, our understanding of the temporal stability of wild animal viromes remains poorly resolved. While studies of single host-virus systems indicate that host and environmental factors influence seasonal virus transmission dynamics, comparable insights for whole viral communities in multiple hosts are lacking. Leveraging non-invasive faecal samples from a long-term wild rodent study, we characterised viral communities of three common European rodent species (Apodemus sylvaticus, A. flavicollis, and M. glareolus) living in temperate woodland over a single year. Our findings indicate that a substantial fraction of the rodent virome is seasonally transient and associated with vertebrate or bacteria hosts. Further analyses of one of the most common virus families, Picornaviridae, show pronounced temporal changes in viral richness and evenness, which were associated with concurrent and up to ~3-month lags in host density, ambient temperature, rainfall and humidity, suggesting complex feedbacks from the host and environmental factors on virus transmission and shedding in seasonal habitats. Overall, this study emphasizes the importance of understanding the seasonal dynamics of wild animal viromes in order to better predict and mitigate zoonotic risks.
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