Instituto de Biología Molecular y Celular de Plantas, Consejo Superior de Investigaciones Científicas-UPV, València, Spain.
J Virol. 2012 Dec;86(23):12912-22. doi: 10.1128/JVI.02207-12. Epub 2012 Sep 19.
In the clinic, farm, or field, for many viruses there is a high prevalence of mixed-genotype infections, indicating that multiple virions have initiated infection and that there can be multiple sites of primary infection within the same host. The dynamic process by which multiple primary infection sites interact with each other and the host is poorly understood, undoubtedly due to its high complexity. In this study, we attempted to unravel the basic interactions underlying this process using a plant RNA virus, as removing the inoculated leaf can instantly and rigorously eliminate all primary infection sites. Effective population size in the inoculated leaf and time of removal of the inoculated leaf were varied in experiments, and it was found that both factors positively influenced if the plant became systemically infected and what proportion of cells in the systemic tissue were infected, as measured by flow cytometry. Fitting of probabilistic models of infection to our data demonstrated that a null model in which the action of each focus is independent of the presence of other foci was better supported than a dependent-action model. The cumulative effect of independently acting foci therefore determined when plants became infected and how many individual cells were infected. There was no evidence for interference between primary infection sites, which is surprising given the planar structure of leaves. By showing that a simple null model is supported, we experimentally confirmed--to our knowledge for the first time--the minimal components that dictate interactions of a conspecific virus population establishing systemic infection.
在临床、农场或野外,许多病毒都存在高度混合基因型感染,这表明有多个病毒粒子引发了感染,并且同一宿主内可能存在多个原发性感染部位。多个原发性感染部位之间以及与宿主相互作用的动态过程还知之甚少,这无疑是由于其高度复杂性。在这项研究中,我们试图利用植物 RNA 病毒来揭示这个过程的基本相互作用,因为移除接种叶片可以立即严格消除所有原发性感染部位。在实验中,我们改变了接种叶片中的有效种群大小和移除接种叶片的时间,发现这两个因素都能积极影响植物是否被系统性感染,以及流式细胞术测量的系统性组织中被感染的细胞比例。将感染概率模型拟合到我们的数据表明,一个无相互作用的焦点模型比一个依赖于其他焦点存在的模型更能得到支持。因此,独立作用的焦点的累积效应决定了植物何时被感染以及有多少个个体细胞被感染。没有证据表明原发性感染部位之间存在干扰,这与叶片的平面结构相矛盾。通过表明一个简单的无相互作用模型得到支持,我们从实验上首次证实了决定同种病毒群体建立系统性感染的相互作用的最小组成部分。