2009
DOI: 10.1016/j.jviromet.2009.07.008
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Real-time quantitative PCR based sensitive detection and genotype discrimination of Pepino mosaic virus

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Cited by 64 publications
(33 citation statements)
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“…For genotype discrimination and typing of EU, PE, CH2 and US1 PepMV genotypes, a real-time qRT-PCR method (Gutiérrez-Aguirre et al 2009) was used for the rapid screening of all PepMV positive samples originating from tomato and weed samples. Based on the results obtained from genotyping Cypriot PepMV isolates and due to the homogeneity of genotype distribution detected in the country, two isolates were (Kumar et al 2004) using the neighbour-joining algorithm.…”
mentioning
confidence: 99%
“…For genotype discrimination and typing of EU, PE, CH2 and US1 PepMV genotypes, a real-time qRT-PCR method (Gutiérrez-Aguirre et al 2009) was used for the rapid screening of all PepMV positive samples originating from tomato and weed samples. Based on the results obtained from genotyping Cypriot PepMV isolates and due to the homogeneity of genotype distribution detected in the country, two isolates were (Kumar et al 2004) using the neighbour-joining algorithm.…”
mentioning
confidence: 99%
“…qPCR for detection of a quarantine grapevine pathogen, Xylophilus ampelinus [25], was the first qPCR-based technique included in the EPPO diagnostic protocols, and it is still in use today [26]. Other qPCR methods that have been developed at the NIB can detect plant pathogenic viruses (e.g., potato virus Y isolates, Pepino mosaic virus [27]) and bacteria (e.g., Erwinia amylovora), and Flavescence dorée and Bois noir phytoplasma in grapevine [28,29]. Recently, methods using dPCR for detection and quantification of microorganisms have been published [30,31].…”
Section: Microorganisms -Plant Pathogensmentioning
confidence: 99%
“…In recent years the number of phytopathogen detection tests based on qPCR has been increasing very fast. In our laboratory alone, we have introduced several qPCR-based assays for detection of various plant pathogens, in addition to the ones presented here , Gutiérrez-Aguirre et al 2009, Kogovšek et al 2008). …”
Section: Real-time Pcrmentioning
confidence: 99%