United States Department of Agriculture, Agricultural Research Service, Salinas, California 93905; email:
Annu Rev Phytopathol. 2015;53:157-80. doi: 10.1146/annurev-phyto-080614-120122. Epub 2015 May 18.
Knowing the identity of bacterial plant pathogens is essential to strategic and sustainable disease management in agricultural systems. This knowledge is critical for growers, diagnosticians, extension agents, and others dealing with crops. However, such identifications are linked to bacterial taxonomy, a complicated and changing discipline that depends on methods and information that are often not used by those who are diagnosing field problems. Modern molecular tools for fingerprinting and sequencing allow for pathogen identification in the absence of distinguishing or conveniently tested phenotypic characteristics. These methods are also useful in studying the etiology and epidemiology of phytopathogenic bacteria from epidemics, as was done in numerous studies conducted in California's Salinas Valley. Multilocus and whole-genome sequence analyses are becoming the cornerstones of studies of microbial diversity and bacterial taxonomy. Whole-genome sequence analysis needs to become adequately accessible, automated, and affordable in order to be used routinely for identification and epidemiology. The power of molecular tools in accurately identifying bacterial pathogenesis is therefore of value to the farmer, diagnostician, phytobacteriologist, and taxonomist.
了解植物病原菌的身份对于农业系统中战略和可持续的疾病管理至关重要。这方面的知识对于种植者、诊断人员、推广人员和其他与作物打交道的人来说至关重要。然而,这些鉴定与细菌分类学有关,这是一个复杂且不断变化的学科,依赖于那些诊断田间问题的人通常不使用的方法和信息。用于指纹图谱和测序的现代分子工具允许在没有区分或方便测试的表型特征的情况下进行病原体鉴定。这些方法也有助于研究植物病原细菌的病因和流行病学,在加利福尼亚州萨利纳斯谷的许多研究中都有这样的研究。多位点和全基因组序列分析正在成为微生物多样性和细菌分类学研究的基石。为了常规用于鉴定和流行病学,全基因组序列分析需要足够容易获取、自动化和负担得起。因此,分子工具在准确鉴定细菌发病机制方面的强大功能对农民、诊断人员、植物病理学家和分类学家都具有价值。