Linked Life Data

19643139

Source:http://linkedlifedata.com/resource/pubmed/id/19643139

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2009-10-13
pubmed:abstractText
Over the last decade a new virus disease caused by Pepino mosaic virus (PepMV) has been threatening the tomato industry worldwide. Reliable detection is vitally important to aid disease control. Methods must be both sensitive and capable of detecting the range of distinct genotypes that have been identified. The development of five new reverse transcription real-time quantitative PCR (RT-qPCR) assays is described, which allow the detection of all known PepMV genotypes. The performance of the assays was evaluated on Peruvian, European tomato, Ch2 and US1 PepMV genotypes and optimised for both two- and one-step RT-qPCR detection formats. One-step RT-qPCR detected PepMV European tomato genotype particles at least two orders of magnitude more sensitively than ELISA. The method detected as little as one naturally infected seed among 5000 uninfected seeds. The genotype-specificity of the five assays was compared using PepMV isolates representing all of the different genotypes. The following genotype combinations were all discriminated successfully: European tomato-Peruvian, Ch2, and US1. In addition to its application for diagnostic purposes, the genotype-specificity and the quantitative potential of the method, makes it very useful for epidemiological studies or for studies evaluating resistance of plants to virus infection.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1879-0984
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
162
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
46-55
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Real-time quantitative PCR based sensitive detection and genotype discrimination of Pepino mosaic virus.
pubmed:affiliation
Department of Biotechnology and Systems Biology, National Institute of Biology, Vecna pot 111, SI-1000 Ljubljana, Slovenia. ion.gutierrez@nib.si
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies