AgroParisTech, ENGREF, 19 avenue du Maine, 75732 Paris Cedex 15, France.
Phytopathology. 2011 Apr;101(4):392-403. doi: 10.1094/PHYTO-07-10-0192.
There is increasing use of networks in ecology and epidemiology, but still relatively little application in phytopathology. Networks are sets of elements (nodes) connected in various ways by links (edges). Network analysis aims to understand system dynamics and outcomes in relation to network characteristics. Many existing natural, social, and technological networks have been shown to have small-world (local connectivity with short-cuts) and scale-free (presence of super-connected nodes) properties. In this review, we discuss how network concepts can be applied in plant pathology from the molecular to the landscape and global level. Wherever disease spread occurs not just because of passive/natural dispersion but also due to artificial movements, it makes sense to superimpose realistic models of the trade in plants on spatially explicit models of epidemic development. We provide an example of an emerging pathosystem (Phytophthora ramorum) where a theoretical network approach has proven particularly fruitful in analyzing the spread of disease in the UK plant trade. These studies can help in assessing the future threat posed by similar emerging pathogens. Networks have much potential in plant epidemiology and should become part of the standard curriculum.
网络在生态学和流行病学中的应用越来越多,但在植物病理学中相对较少。网络是由节点以各种方式通过边连接而成的集合。网络分析旨在了解系统动态和网络特征相关的结果。许多现有的自然、社会和技术网络已经被证明具有小世界(局部连接和捷径)和无标度(存在超级连接节点)的特性。在这篇综述中,我们讨论了如何从分子到景观和全球水平将网络概念应用于植物病理学。只要疾病的传播不仅是由于被动/自然扩散,而且还由于人为的移动,那么在空间明确的流行发展模型上叠加植物贸易的现实模型是有意义的。我们提供了一个新兴的病理系统(Phytophthora ramorum)的例子,在这个例子中,理论网络方法在分析英国植物贸易中疾病的传播方面证明是特别有成效的。这些研究有助于评估类似新兴病原体未来构成的威胁。网络在植物流行病学中有很大的潜力,应该成为标准课程的一部分。