Metabolite Profiling of Mung Bean (Vigna radiata) Varieties Using UV-Vis Spectroscopy: A Tool for Breeding Resilience

Abstract

g beans (Vigna radiata L.), commonly known as green grams, are a vital legume crop with significant nutritional and eco nomic importance. As a resilient crop suited to arid and semi-arid conditions, mung beans contribute to food security and income generation, particularly in resource-constrained regions. However, maximizing their potential requires a focus on breeding resilient varieties capable of withstanding various biotic and abiotic stresses.This study utilized UV-Vis spectroscopy to perform metabolite profiling of 23 mung bean varieties, including wild and local accessions sourced from KALRO Katumani. Metabolites quantified in cluded proteins, carbohydrates, phenols, tannins, and flavonoids using standards such as gallic acid, catechol, and albumin serum. Significant differences (p ≤ 0.05) were observed in the metabolite profiles across the varieties, as indicated by one-way analysis of variance (ANOVA). These results highlight the diversity in metabolite composition among the varieties, which can serve as potential biomarkers in breeding programs. By identifying metabolite variations, such as high levels of phenols and tannins associated with stress responses, this study emphasizes the role of metabolomics in developing resilient mung bean varieties. The findings support the integration of metabolite profiling in breeding strategies to enhance the crop's overall adaptability and sustainability. Leveraging these insights can contribute to reducing reliance on chemical inputs, promoting eco-friendly agricultural practices, and securing global food systems through the cultivation of robust mung bean varieties