Using small RNA sequences to diagnose, sequence, and investigate the infectivity characteristics of vegetable-infecting viruses
| Autor: | Mingya Huang, Alessandra Frizzi, Shihshieh Huang, Charles Hagen, John Kao, Lijie Jia, Yuanji Zhang |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Genetics
Infectivity education.field_of_study Small RNA Strain (biology) Molecular Sequence Data Population food and beverages RNA General Medicine Biology Tospovirus biology.organism_classification Genome Virology Virus Solanum lycopersicum Vegetables RNA Viral RNA Small Interfering education Plant Diseases |
| Zdroj: | Archives of Virology. 156:1209-1216 |
| ISSN: | 1432-8798 0304-8608 |
| DOI: | 10.1007/s00705-011-0979-y |
| Popis: | In a virus-infected plant, small interfering RNAs (siRNAs) corresponding to the viral genome form a large proportion of the small RNA population. It is possible to reassemble significant portions of the virus sequence from overlapping siRNA sequences and use these to identify the virus. We tested this technique with a resistance-breaking and a non-resistance-breaking strain of tomato spotted wilt virus (TSWV). We were able to assemble contigs covering 99% of the genomes of both viruses. The abundance of TSWV siRNAs allowed us to detect TSWV at early time points before the onset of symptoms, at levels too low for conventional detection. Combining traditional and bioinformatic detection methods, we also measured how replication of the resistance-breaking strain differed from the non-resistance-breaking strain in susceptible and resistant tomato varieties. We repeated this technique in identification of a squash-infecting geminivirus and also used it to identify an unspecified tospovirus. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink