Host ecology determines the dispersal patterns of a plant virus.
Host ecology determines the dispersal patterns of a plant virus.
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DOI：
10.1093/ve/vev016
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发表时间：
2015
期刊：
影响因子：
5.3
通讯作者：
Lemey P
中科院分区：
文献类型：
--
作者：
Trovão NS;Baele G;Vrancken B;Bielejec F;Suchard MA;Fargette D;Lemey P
自1966年在肯尼亚分离以来，水稻黄斑驳病毒（RYMV）已在整个非洲报道，导致经济上最重要的热带植物新出现的疾病之一。深入了解RYMV的进化和传播对于管理严重依赖农业生存的热带地区的病毒传播至关重要。系统发育分析表明，相对较近的扩展，也许是由农业实践的强化驱动的，但这还没有在一个连贯的统计框架中进行审查。为了深入了解RYMV在非洲水稻种植中的历史传播，我们使用贝叶斯进化推理分析了46年来从东非到西非采样的300个外壳蛋白基因序列的数据集。时空重建的日期RMYV的起源可以追溯到1852年（1791-1903年），并确认坦桑尼亚作为最有可能的地理起源。在一次从东非到西非的远距离传播事件之后，分离的病毒种群已经维持了大约世纪。要确定的因素，形成的RYMV分布，我们采用广义线性模型（GLM）的离散系统发育扩散的扩展，并提供强有力的支持水稻连接景观的距离作为RYMV传播的主要决定因素。连续空间的系统地理学估计进一步补充了这一点，表明西非更明显的扩张动态与农业集约化和扩展化相一致。综上所述，我们的原则性地理推断方法首次表明，宿主生态动态塑造了植物病毒的历史传播。
Since its isolation in 1966 in Kenya, rice yellow mottle virus (RYMV) has been reported throughout Africa resulting in one of the economically most important tropical plant emerging diseases. A thorough understanding of RYMV evolution and dispersal is critical to manage viral spread in tropical areas that heavily rely on agriculture for subsistence. Phylogenetic analyses have suggested a relatively recent expansion, perhaps driven by the intensification of agricultural practices, but this has not yet been examined in a coherent statistical framework. To gain insight into the historical spread of RYMV within Africa rice cultivations, we analyse a dataset of 300 coat protein gene sequences, sampled from East to West Africa over a 46-year period, using Bayesian evolutionary inference. Spatiotemporal reconstructions date the origin of RMYV back to 1852 (1791–1903) and confirm Tanzania as the most likely geographic origin. Following a single long-distance transmission event from East to West Africa, separate viral populations have been maintained for about a century. To identify the factors that shaped the RYMV distribution, we apply a generalised linear model (GLM) extension of discrete phylogenetic diffusion and provide strong support for distances measured on a rice connectivity landscape as the major determinant of RYMV spread. Phylogeographic estimates in continuous space further complement this by demonstrating more pronounced expansion dynamics in West Africa that are consistent with agricultural intensification and extensification. Taken together, our principled phylogeographic inference approach shows for the first time that host ecology dynamics have shaped the historical spread of a plant virus.