Identification and Functional Characterization of the Mungbean Yellow Mosaic India Virus Resistant Gene VrADH Using a MAGIC Population
Year: 2026
Type: article
Abstract: High Resolution Image Download MS PowerPoint Slide Mungbean is an important legume and protein source, but its productivity is severely limited by the mungbean yellow mosaic India virus (MYMIV), and no MYMIV resistance gene has been cloned and functionally validated in mungbean. This study conducted extensive phenotypic variation research on the resistance of a newly developed mungbean multiparent advanced-generation intercross (MAGIC) population. Through an integrated genome-wide association study (GWAS), transcriptome analysis, and induced expression analysis, the candidate gene for MYMIV resistance was identified as VrADH, encoding alcohol dehydrogenase. Haplotype analysis revealed natural variation in VrADH, with VrADH Hap1 being the elite haplotype that has undergone selection in regions severely affected by MYMIV. Functional validation demonstrated that VrADH significantly enhanced resistance by limiting excessive reactive oxygen species accumulation and reducing viral proliferation. Collectively, our results indicate that VrADH can contribute to MYMIV resistance, providing a valuable genetic resource for future molecular breeding and resistance improvement in mungbean.
Authors: Yixiang Pu, Jinyang Liu, Yun Lin, Chenhao Wang, Xi Zhang, Jingbin Chen, Qiang Yan, Ranran Wu, Na Yuan, Yan Wu, Chenchen Xue, Lixia Wang, Yuchen Cheng, Mar Mar Win, Ming Fang Zhang, Xin Chen, Prakit Somta, Xingxing Yuan
Institutions: Jiangsu Academy of Agricultural Sciences, Zhejiang University, Chinese Academy of Agricultural Sciences, Institute of Crop Sciences, Institute of Plant Protection, Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Department of Agricultural Research, Kasetsart University
Language: English
Topic: Plant Virus Research Studies
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
Estimated APC paid: $4,500
Award: G4004699425
OpenAlex ID: W7166575099
