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原文連結
論文資訊
- 類型：已發表論文
- 日期：2014-06-25
摘要
The cornerstone of today's plant virology consists of deciphering the molecular and mechanistic basis of host-pathogen interactions. Among these interactions, the onset of systemic infection is a fundamental variable in studying both within-and between-host infection dynamics, with implications in 流行病學. Here, we developed a mechanistic model using probabilistic and spatio-temporal concepts to explain dynamic signatures of 病毒 systemic infection. The model dealt with the inherent characteristic of plant 病毒es to use two different and sequential stages for their within-host propagation: cell-to-cell movement from the initial infected cell and systemic spread by reaching the vascular system. We identified the speed of cell-to-cell movement and the number of primary infection foci in the inocula
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