Madras Agricultural Journal
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Research Article | Open Access | Peer Review

Prediction and Identification of microRNA from Banana Infected with Banana Streak Mysore Virus (BSMYV)

Volume : 100
Issue: Apr-jun
Pages: 513 - 518
Published: April 30, 2023
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Abstract


In this study, computational prediction of miRNAs from banana EST and BAC sequences was performed, which resulted in the finding of 18 banana miRNAs belonging to 16 miRNA families. For the 18 miRNAs, 25 banana ESTs were found as their potential targets. Most of these targets encode transcriptional factors which play a role in banana development. Additionally, real time PCR assays were performed to profile the expression levels of three miRNAs (miR156, 159 and 166) after the infection of Banana streak Mysore virus (BSMYV). The results showed that symptom severity is correlated to the expression level of miRNAs, and a clear increased expression of miR166 during viral infection. This is the first report to predict and identify miRNAs in banana.

DOI
Pages
513 - 518
Creative Commons
Copyright
© The Author(s), 2025. Published by Madras Agricultural Students' Union in Madras Agricultural Journal (MAJ). This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited by the user.

Keywords


Banana; EST; MicroRNA; RT-PCR; banana streak mysore virus (BSMYV).
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