00000caa a22000003i 4500 UP-1685594773862408730 Buklod 20210408194947.0 m | | ta 210408s2020 xx r |||| u|eng d (iLib)UPBAG-00039679892 STII-DOST BAG rda eng ARTICLE-3055 Barbosa, Cris Francis C. author. Accurate diagnosis of multicomponent Babuviruses infecting abaca by simultaneous amplification of their genome segments by Cris Francis C. Barbosa, Rhosener Bhea L. Koh, Vermando M. Aquino, and Leny C. Galvez. 2020. pages 369-378 color illustrations 26 cm text rdacontent unmediated rdamedia volume rdacarrier Includes bibliographical references (pages 377-378) Abaca bunchy top virus and banana bunchy top virus (ABTV and BBTV; genus Babuvirus; Family: Nanoviridae) are two of the most destructive abaca viruses. Uniplex polymerase chain reaction (PCR) and loop-mediated isothermal amplification (LAMP) are nucleic acid amplification techniques (NAATs) currently being used for their detection and diagnosis. However, the multicomponent nature of these bunchy top viruses has been documented to affect the diagnostic sensitivity of the aforementioned techniques, resulting in false-negative detection. This study, therefore, aimed to develop an assay that is strategic for accurate diagnosis of these multicomponent viruses. The multiplex PCR method was optimized at 56.5 °C annealing temperature (TA), and was evaluated to have 91?100% diagnostic sensitivity and diagnostic specificity (CI = 95%, n = 60) against ABTV and BBTV ? more accurate than LAMP and uniplex PCR. This paper provides evidence on the effect of the multicomponent nature of ABTV and BBTV in their detection even on techniques with superior analytical sensitivity such as LAMP. Moreover, it provides a strategic diagnostic tool to circumvent difficulties in the diagnosis of multicomponent abaca viruses. (Author's abstract) Biology. Babuvirus. Multiplex pcr. Musa textilis nee. Virus detection. Aquino, Vermando M. author. Koh, Rhosener Bhea L. author. Galvez, Leny C. author. The Philippine Journal of Science Vol. 149, no. 2, June 2020. Request full-text access via UPB University Library through https://forms.gle/KZjBv7aRtY6jiL5E9 (viewed 08 April 2021) FI UPBAG UPBAG-MAIN ARTICLE-3055 Analytics