2015
DOI: 10.1186/s12985-015-0263-y
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RNA interference-based resistance in transgenic tomato plants against Tomato yellow leaf curl virus-Oman (TYLCV-OM) and its associated betasatellite

Abstract: BackgroundTomato yellow leaf curl virus (TYLCV), a monopartite begomovirus (family Geminiviridae) is responsible for heavy yield losses for tomato production around the globe. In Oman at least five distinct begomoviruses cause disease in tomato, including TYLCV. Unusually, TYLCV infections in Oman are sometimes associated with a betasatellite (Tomato leaf curl betasatellite [ToLCB]; a symptom modulating satellite). RNA interference (RNAi) can be used to develop resistance against begomoviruses at either the tr… Show more

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Cited by 54 publications
(32 citation statements)
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“…The clone Rad-2/ChiLCV-OM was digested with BamH I and Sac I and the released fragment was ligated into the binary vector pCambia 1301. The remaining steps were as described by Ammara et al (2015).…”
Section: Inoculationmentioning
confidence: 99%
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“…The clone Rad-2/ChiLCV-OM was digested with BamH I and Sac I and the released fragment was ligated into the binary vector pCambia 1301. The remaining steps were as described by Ammara et al (2015).…”
Section: Inoculationmentioning
confidence: 99%
“…Degenerate primers were designed and used to amplify the CP gene (Ammara et al, 2015), which was used to conduct diagnostic PCR of all infected and healthy plants. The PCR profile used in the thermal cycler was as explained by Ammara et al (2015).…”
Section: Pcr Cloning and Sequencing Of Virus Componentsmentioning
confidence: 99%
See 2 more Smart Citations
“…Combination of Ty (Ty-1, and Ty2, Ty3, Ty4 and Ty5) gene has been reported in wild tomato to provide high level of resistance against Tomato yellow leaf curl virus (TYLCV). Homologous Ds RNA engineered to express sequence of IR, CP gene, V2 gene and replication associated gene of Tomato yellow leaf curl virus-Oman prepared to reduce the symptom development against TYLCV-OM in N. benthamiana/Tomato [8].…”
Section: Molecular Based Approachesmentioning
confidence: 99%