In-silico prediction of RT-qPCR-high resolution melting for broad detection of emaraviruses.

ABSTRACT: Twenty-four species of RNA viruses contain members infecting economically important crops that are classified within the genus Emaravirus, family Fimoviridae. There are at least two other non-classified species that may be added. Some of these viruses are spreading rapidly and cause economically important diseases on several crops, raising a need for a sensitive diagnostic technique for taxonomic and quarantine purposes. High-resolution melting (HRM) has shown to be reliable for the detection, discrimination, and diagnosis of several diseases of plants, animals, and humans. This research aimed to explore the ability to predict HRM outputs coupled to reverse transcription-quantitative polymerase chain reaction (RT-qPCR). To approach this goal a pair of degenerate genus-specific primers were

SUBMITTER: Olmedo-Velarde A 

PROVIDER: S-EPMC10166557 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature