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水稻感染病毒的检测与诊断

Detection and diagnosis of rice-infecting viruses.

作者信息

Uehara-Ichiki Tamaki, Shiba Takuya, Matsukura Keiichiro, Ueno Takanori, Hirae Masahiro, Sasaya Takahide

机构信息

Classification and Evaluation Research Unit, Genetic Resources Center, National Institute of Agrobiological Sciences Tsukuba, Ibaraki, Japan.

出版信息

Front Microbiol. 2013 Oct 9;4:289. doi: 10.3389/fmicb.2013.00289.

Abstract

Rice-infecting viruses have caused serious damage to rice production in Asian, American, and African countries, where about 30 rice viruses and diseases have been reported. To control these diseases, developing accurate, quick methods to detect and diagnose the viruses in the host plants and any insect vectors of the viruses is very important. Based on an antigen-antibody reaction, serological methods such as latex agglutination reaction and enzyme-linked immunosorbent assay have advanced to detect viral particles or major proteins derived from viruses. They aid in forecasting disease and surveying disease spread and are widely used for virus detection at plant protection stations and research laboratories. From the early 2000s, based on sequence information for the target virus, several other methods such as reverse transcription-polymerase chain reaction (RT-PCR) and reverse transcription-loop-mediated isothermal amplification have been developed that are sensitive, rapid, and able to differentiate closely related viruses. Recent techniques such as real-time RT-PCR can be used to quantify the pathogen in target samples and monitor population dynamics of a virus, and metagenomic analyses using next-generation sequencing and microarrays show potential for use in the diagnosis of rice diseases.

摘要

侵染水稻的病毒已在亚洲、美洲和非洲国家对水稻生产造成严重损害,据报道这些地区有大约30种水稻病毒及病害。为了防治这些病害,开发准确、快速的方法来检测和诊断寄主植物及病毒的任何昆虫传播介体内的病毒非常重要。基于抗原-抗体反应,诸如乳胶凝集反应和酶联免疫吸附测定等血清学方法已发展起来用于检测病毒粒子或源自病毒的主要蛋白。它们有助于病害预测和病害传播调查,并广泛用于植保站和研究实验室的病毒检测。从21世纪初开始,基于目标病毒的序列信息,又开发了其他几种方法,如逆转录-聚合酶链反应(RT-PCR)和逆转录-环介导等温扩增,这些方法灵敏、快速,且能够区分亲缘关系相近的病毒。诸如实时RT-PCR等最新技术可用于定量目标样品中的病原体并监测病毒的种群动态,而使用下一代测序和微阵列的宏基因组分析在水稻病害诊断中显示出应用潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34b0/3793123/a56838c35c47/fmicb-04-00289-g001.jpg

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