title: Detection and diagnosis of rice-infecting viruses.
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.
authors.affiliation: Classification and Evaluation Research Unit, Genetic Resources Center, National Institute of Agrobiological Sciences Tsukuba, Ibaraki, Japan.
authors.forename: Tamaki
authors.initials: T
authors.lastname: Uehara-Ichiki
authors.forename: Takuya
authors.initials: T
authors.lastname: Shiba
authors.forename: Keiichiro
authors.initials: K
authors.lastname: Matsukura
authors.forename: Takanori
authors.initials: T
authors.lastname: Ueno
authors.forename: Masahiro
authors.initials: M
authors.lastname: Hirae
authors.forename: Takahide
authors.initials: T
authors.lastname: Sasaya
keywords: ELISA; LAR; RT-LAMP; detection; diagnosis; multiplex RT-PCR; real-time RT-PCR; rice viruses