Re-Evaluation of Yam Mosaic Virus (YMV) Detection Methods

dc.creatorEni, A. O., Hughes, J. D. A, Asiedu, R., Rey, M. E. C
dc.date2012
dc.date.accessioned2025-03-26T12:36:19Z
dc.descriptionAccurate and timely detection is vital for mitigation of tuber yield losses resulting from yam mosaic virus (YMV) infection on yam, a major food security crop in West Africa. The observation, from our previous studies, that the triple antibody sandwich enzyme-linked immunosorbent assay (TAS-ELISA), the most commonly used detection method for YMV, detected the virus in significantly less leaf samples than immunocapture reverse transcription polymerase chain reaction (IC-RT-PCR) necessitated a re-evaluation of YMV detection methods. In the present study, eighteen previously tested YMV positive leaf samples from Benin and Ghana were re-tested using TAS-ELISA, Protein A-sandwich (PAS) ELISA and IC-RT-PCR. Three sap dilutions, 1/10, 1/50 and 1/100, were tested for each sample. Both at 1/10 and 1/50 dilutions, PAS-ELISA and IC-RT-PCR detected YMV in 11 (61.1%) and 12 (66.7%) of the leaves respectively. Virus detection by PAS-ELISA reduced to 50% at 1/100 sap dilution and increased to 77.8% in IC-RT-PCR. YMV detection by TAS-ELISA varied between 38.9% and 16.7% at 1/10 and 1/100 dilutions respectively. These results indicate a deficiency in the use of TAS-ELISA as a sole YMV certification method since the detecting monoclonal antibody used in this assay may be strain specific. The use of PAS-ELISA at a 1/10 sap dilution is suggested for YMV detection where the facilities for molecular detection are unavailable
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/2112/
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/31445
dc.languageen
dc.subjectQR Microbiology
dc.titleRe-Evaluation of Yam Mosaic Virus (YMV) Detection Methods
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Eni A. O. 5.pdf
Size:
179.83 KB
Format:
Adobe Portable Document Format

Collections