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Journal article
A Panomics-Driven Framework for the Improvement of Major Food Legume Crops: Advances, Challenges, and Future Prospects
Horticulture research, Vol.12(7), uhaf091
2025
Abstract
Food legume crops, including common bean, faba bean, mungbean, cowpea, chickpea, and pea, have long served as vital sources of energy, protein, and minerals worldwide, both as grains and vegetables. Advancements in high-throughput phenotyping, next-generation sequencing, transcriptomics, proteomics, and metabolomics have significantly expanded genomic resources for food legumes, ushering research into the panomics era. Despite their nutritional and agronomic importance, food legumes still face constraints in yield potential and genetic improvement due to limited genomic resources, complex inheritance patterns, and insufficient exploration of key traits such as quality and stress resistance. This highlights the need for continued efforts to comprehensively dissect the phenome, genome, and regulome of these crops. This review summarizes recent advances in technological innovations and multi-omics applications in food legumes research and improvement. Given the critical role of germplasm resources and the challenges in applying phenomics to food legumes—such as complex trait architecture and limited standardized methodologies—we first address these foundational areas. We then discuss recent gene discoveries associated with yield stability, seed composition, and stress tolerance and their potential as breeding targets. Considering the growing role of genetic engineering, we provide an update on gene-editing applications in legumes, particularly CRISPR-based approaches for trait enhancement. We advocate for integrating chemical and biochemical signatures of cells ('molecular phenomics') with genetic mapping to accelerate gene discovery. We anticipate that combining panomics approaches with advanced breeding technologies will accelerate genetic gains in food legumes, enhancing their productivity, resilience, and contribution to sustainable global food security.
Details
- Title
- A Panomics-Driven Framework for the Improvement of Major Food Legume Crops: Advances, Challenges, and Future Prospects
- Authors/Creators
- Hongliang Hu - China Jiliang UniversityXingxing Yuan - Jiangsu Academy of Agricultural SciencesDinesh Kumar Saini - Texas Tech UniversityTao Yang - Institute of Crop SciencesXinyi Wu - ZheJiang Academy of Agricultural SciencesRanran Wu - Jiangsu Academy of Agricultural SciencesZehao Liu - Institute of Crop SciencesFarkhandah Jan - Sher-e-Kashmir University of Agricultural Sciences and Technology of KashmirReyazul Rouf MirLiu LiuJiashun MiaoNa Liu - ZheJiang Academy of Agricultural SciencesPei Xu - China Jiliang University
- Publication Details
- Horticulture research, Vol.12(7), uhaf091
- Publisher
- Oxford University Press on behalf of Nanjing Agricultural University.
- Number of pages
- 23
- Identifiers
- 991005754535707891
- Copyright
- © The Author(s) 2025
- Murdoch Affiliation
- Food Futures Institute
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.4 Crop Science
- 3.4.96 QTL
- Web Of Science research areas
- Genetics & Heredity
- Horticulture
- Plant Sciences
- ESI research areas
- Agricultural Sciences