Chinese Academy of Inspection and Quarantine, Beijing, China.
PLoS One. 2013 May 29;8(5):e64474. doi: 10.1371/journal.pone.0064474. Print 2013.
A major challenge in the agricultural industry is the development of techniques that can screen plant samples for viroid infection. Microarrays are promising in this regard, as their high throughput nature can potentially allow for the detection of a range of viroids in a single test. In this paper we present a microarray that can detect a wide spectrum of all 8 reported viroid genera including 37 known plant viroid species. The array was constructed using an automated probe design protocol which generated a minimal number of probes to detect viroids at the genus level. The designed microarray showed a high specificity and sensitivity when tested with a set of standard virus samples. Finally, the microarray was applied to screen infected field samples, with Hop stunt viroid infection identified as the major disease causing pathogen for an infected citrus sample.
农业领域的一个主要挑战是开发能够筛选植物样本是否感染类病毒的技术。微阵列在这方面很有前景,因为其高通量的特性有可能在单次检测中检测到多种类病毒。在本文中,我们提出了一种可以检测所有 8 种已报道的类病毒属的广谱微阵列,包括 37 种已知的植物类病毒。该阵列使用自动化探针设计方案构建,该方案生成了尽可能少的探针,以在属水平上检测类病毒。设计的微阵列在测试一组标准病毒样本时表现出了很高的特异性和灵敏度。最后,该微阵列被应用于筛选感染的田间样本,发现感染的柑橘样本中主要的致病病原体是Hop stunt 类病毒。