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Article|13 Nov 2025|OPEN
Identification of specific miRNAs in early-stage mung bean (Vigna radiata) using DNA/AgNCs sensors and miRNAtome analysis
Young Kyoung Oh1 , Hari Chandana Yadavalli1 , Christian Møller1 , Moon Young Ryu2 , Seok Keun Cho2 , Bora Lee2 , Mikyung Chang1 , Mi Young Byun2 , Jong Hum Kim3,4 and Hyun Ju Jung1 , , Seong Wook Yang,1,2 ,
1Department of Systems Biology, Institute of Life Science and Biotechnology, Yonsei University, Seoul 03722, South Korea
2Xenohelix Research Institute, BT Centre 305, 56 Songdogwahakro Yeonsugu, Incheon 21984, South Korea
3Department of Life Science, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk 37673, South Korea
4Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul 03722, South Korea
*Corresponding author. E-mail: dokgu82@yonsei.ac.kr,yangsw@yonsei.ac.kr

Horticulture Research 13,
Article number: uhaf312 (2026)
doi: https://doi.org/10.1093/hr/uhaf312
Views: 81

Received: 22 Apr 2025
Accepted: 08 Nov 2025
Published online: 13 Nov 2025

Abstract

MicroRNAs (miRNAs) are noncoding RNAs, ~21–24 nucleotides in length, that play a pivotal role in post-transcriptional gene regulation by inducing cleavage or translational repression of target mRNAs with complementary sequences. In this study, we identified miRNAs expressed during the early developmental stage of mung bean (Vigna radiata), a major legume crop, using small RNA sequencing (sRNA-seq), and analyzed their expression profiles across various mung bean tissues. Mung bean-specific miRNAs were found to be highly expressed in the aerial parts of seedlings, particularly in the leaves. Furthermore, the expression of these miRNAs was effectively validated using Tailed-Hoogsteen triplex DNA-encapsulated silver nanocluster (DNA/AgNC) sensors. The nanosensor enables rapid detection of target miRNAs within 30 min and is easy to apply for field-based assessments. The predicted target mRNAs of the identified miRNAs were associated with a range of biological processes relevant to early-stage development. This study highlights the potential of nanosensor-based approaches for the efficient identification of novel miRNAs in staple crops, offering a promising strategy to reduce the cost, time, and labor required during the transition from laboratory research to field applications.