Li Wenbin, Song Qijian, Brlansky Ronald H, Hartung John S
University of Florida, Citrus Research and Education Center, Lake Alfred, FL 33850, USA.
Proc Natl Acad Sci U S A. 2007 Nov 20;104(47):18427-32. doi: 10.1073/pnas.0705590104. Epub 2007 Nov 12.
Citrus bacterial canker (CBC) caused by Xanthomonas axonopodis pv. citri (Xac) was first documented in India and Java in the mid 19th century. Since that time, the known distribution of the disease has steadily increased. Concurrent with the dispersion of the pathogen, the diversity of described strains continues to increase, with novel strains appearing in Saudi Arabia, Iran, and Florida in the last decade. Herbarium specimens of infected plants provide an historical record documenting both the geographic distribution and genetic diversity of the pathogen in the past. However, no method was available to assess the genetic diversity within these herbarium samples. We have developed a method, insertion event scanning (IES), and applied the method to characterize the diversity present within CBC populations documented as herbarium specimens over the past century. IES is based on the specific amplification of junction fragments that define insertion events. The potential for IES in current forensic applications is demonstrated by finding an exact match of pathogen genotypes preserved in herbarium specimens from Japan and Florida, demonstrating the source of the original outbreak of citrus canker in Florida in 1911. IES is a very sensitive technique for differentiating bacterial strains and can be applied to any of the several hundred bacteria for which full genomic sequence data are available.
由柑橘溃疡病菌(Xanthomonas axonopodis pv. citri,简称Xac)引起的柑橘细菌性溃疡病于19世纪中叶首次在印度和爪哇被记录。自那时起,已知的该病分布范围稳步扩大。随着病原菌的传播,所描述菌株的多样性也在不断增加,过去十年在沙特阿拉伯、伊朗和佛罗里达州出现了新的菌株。受感染植物的标本馆标本提供了一份历史记录,记录了过去病原菌的地理分布和遗传多样性。然而,当时没有可用的方法来评估这些标本馆样本中的遗传多样性。我们开发了一种方法,即插入事件扫描(IES),并应用该方法来表征过去一个世纪作为标本馆标本记录的柑橘细菌性溃疡病种群中的多样性。IES基于对定义插入事件的连接片段的特异性扩增。通过发现来自日本和佛罗里达州标本馆标本中保存的病原菌基因型完全匹配,证明了IES在当前法医应用中的潜力,这也揭示了1911年佛罗里达州柑橘溃疡病最初爆发的源头。IES是一种区分细菌菌株的非常灵敏的技术,可应用于有完整基因组序列数据的几百种细菌中的任何一种。