Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200475232> ?p ?o ?g. }
- W4200475232 endingPage "114425" @default.
- W4200475232 startingPage "114425" @default.
- W4200475232 abstract "High-resolution melting (HRM) has shown to be reliable for the detection, discrimination, and diagnosis of several diseases of plants, animals, and humans. The aim of this research was to explore the ability to predict HRM outputs when coupled to reverse transcription quantitative polymerase chain reaction (RT-qPCR). This research used the species in the Emaravirus genus as model to framework the development of genus-specific RT-qPCR-HRM assays. A pair of degenerate genus-specific primers were designed for use in endpoint RT-PCR and RT-qPCR-HRM detection of emaraviruses. Eleven species of RNA viruses infecting economically important crops are classified within the genus Emaravirus, family Fimoviridae. There are at least fifteen 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. RT-PCR and RT-qPCR-HRM were able to detect seven emaravirus species in-vitro with sensitivity up to one fg of cDNA. Specific parameters for prediction in-silico of the melting temperatures of each expected emaravirus amplicon are provided and compared to the data obtained in-vitro. A very distinct isolate of the High Plains wheat mosaic virus was also detected. The prediction in-silico of fluorescence of high-resolution DNA melting curves of predicted RT-PCR products using uMeltSM speeded the design and development of RT-qPCR-HRM assay. This approach avoided rounds of HRM tests in-vitro when searching for the optimal regions that provides accurate diagnosis. The resultant assay provided sensitive detection and reliable diagnosis for potentially any emaravirus, including new species or strains." @default.
- W4200475232 created "2021-12-31" @default.
- W4200475232 creator A5010981562 @default.
- W4200475232 creator A5015854049 @default.
- W4200475232 creator A5022387481 @default.
- W4200475232 creator A5052347494 @default.
- W4200475232 creator A5078768691 @default.
- W4200475232 date "2021-12-01" @default.
- W4200475232 modified "2023-10-13" @default.
- W4200475232 title "WITHDRAWN: Exploring in-silico prediction for the development of a RT-qPCR-high resolution melting assay for the broad detection of emaraviruses" @default.
- W4200475232 cites W1171304812 @default.
- W4200475232 cites W1483404219 @default.
- W4200475232 cites W1538604077 @default.
- W4200475232 cites W1892237460 @default.
- W4200475232 cites W1974291581 @default.
- W4200475232 cites W1978293187 @default.
- W4200475232 cites W1979342008 @default.
- W4200475232 cites W1982891771 @default.
- W4200475232 cites W1983888805 @default.
- W4200475232 cites W1985037602 @default.
- W4200475232 cites W1990487692 @default.
- W4200475232 cites W1999336249 @default.
- W4200475232 cites W2002047614 @default.
- W4200475232 cites W2005573424 @default.
- W4200475232 cites W2018255407 @default.
- W4200475232 cites W2018303534 @default.
- W4200475232 cites W2022156928 @default.
- W4200475232 cites W2032019813 @default.
- W4200475232 cites W2034605718 @default.
- W4200475232 cites W2035862692 @default.
- W4200475232 cites W2045186040 @default.
- W4200475232 cites W2054900420 @default.
- W4200475232 cites W2068465431 @default.
- W4200475232 cites W2077237334 @default.
- W4200475232 cites W2087008248 @default.
- W4200475232 cites W2088306370 @default.
- W4200475232 cites W2091474020 @default.
- W4200475232 cites W2091962558 @default.
- W4200475232 cites W2093717353 @default.
- W4200475232 cites W2098282209 @default.
- W4200475232 cites W2103573163 @default.
- W4200475232 cites W2108508548 @default.
- W4200475232 cites W2116329232 @default.
- W4200475232 cites W2119246793 @default.
- W4200475232 cites W2126784042 @default.
- W4200475232 cites W2131150306 @default.
- W4200475232 cites W2132926880 @default.
- W4200475232 cites W2133630993 @default.
- W4200475232 cites W2146931904 @default.
- W4200475232 cites W2150705960 @default.
- W4200475232 cites W2156559846 @default.
- W4200475232 cites W2156627101 @default.
- W4200475232 cites W2157592471 @default.
- W4200475232 cites W2158319161 @default.
- W4200475232 cites W2163277134 @default.
- W4200475232 cites W2163627198 @default.
- W4200475232 cites W2282671766 @default.
- W4200475232 cites W2311203695 @default.
- W4200475232 cites W2344056655 @default.
- W4200475232 cites W2415159186 @default.
- W4200475232 cites W2591919055 @default.
- W4200475232 cites W2604609259 @default.
- W4200475232 cites W2621313234 @default.
- W4200475232 cites W2735456433 @default.
- W4200475232 cites W2794645854 @default.
- W4200475232 cites W2802556269 @default.
- W4200475232 cites W2803095561 @default.
- W4200475232 cites W2803557762 @default.
- W4200475232 cites W2885058164 @default.
- W4200475232 cites W2891833556 @default.
- W4200475232 cites W2902190978 @default.
- W4200475232 cites W2914892556 @default.
- W4200475232 cites W2921012741 @default.
- W4200475232 cites W2944813275 @default.
- W4200475232 cites W2945945779 @default.
- W4200475232 cites W2953920799 @default.
- W4200475232 cites W2980938793 @default.
- W4200475232 cites W3004782903 @default.
- W4200475232 cites W3011064372 @default.
- W4200475232 cites W3012849098 @default.
- W4200475232 cites W3025986822 @default.
- W4200475232 cites W3028250759 @default.
- W4200475232 cites W3035725850 @default.
- W4200475232 cites W3037149658 @default.
- W4200475232 cites W3044022686 @default.
- W4200475232 cites W3105466883 @default.
- W4200475232 cites W3118347037 @default.
- W4200475232 cites W3122943459 @default.
- W4200475232 cites W3128266800 @default.
- W4200475232 cites W4246292337 @default.
- W4200475232 doi "https://doi.org/10.1016/j.jviromet.2021.114425" @default.
- W4200475232 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34902460" @default.
- W4200475232 hasPublicationYear "2021" @default.
- W4200475232 type Work @default.
- W4200475232 citedByCount "2" @default.
- W4200475232 countsByYear W42004752322022 @default.
- W4200475232 countsByYear W42004752322023 @default.
- W4200475232 crossrefType "journal-article" @default.