High-Resolution Genomic Resources for Trait Mapping and Precision Breeding for Adzuki Bean (Vigna angularis)

Liangliang Hu; Xiaolei Wang; Yazhou Zhang; Vanika Garg; Xingxing Yuan; Renfeng Xue; Hongmei Zhou; Yanhua Chen; Weili Hu; Rutwik Barmukh; Rong Cao; Tianxiao Chen; Qiannan Song; Dan Gao; Gaoling Luo; Xu Zhu; Xin Jing; Suhua Wang; Caiju Li; Yunshan Wei; Weide Ge; Xin Chen; Lixia Wang; Rajeev K Varshney; Chengzhi Jiao; Xuzhen Cheng; Honglin Chen

doi:10.1002/advs.202507157

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High-Resolution Genomic Resources for Trait Mapping and Precision Breeding for Adzuki Bean (Vigna angularis)

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High-Resolution Genomic Resources for Trait Mapping and Precision Breeding for Adzuki Bean (Vigna angularis)

Liangliang Hu, Xiaolei Wang, Yazhou Zhang, Vanika Garg, Xingxing Yuan, Renfeng Xue, Hongmei Zhou, Yanhua Chen, Weili Hu, Rutwik Barmukh, …

Advanced science, Vol.13(4), e07157

2025

DOI: https://doi.org/10.1002/advs.202507157

PMID: 41259427

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Abstract

genomics

adzuki bean

genetic improvement

precision breeding

domestication

Adzuki bean (Vigna angularis), a globally important legume crop, faces breeding bottlenecks due to limited genomic resources and an insufficient understanding of its genetic basis for key traits, which constrains the efficient utilization of its genetic diversity in breeding programs. To address this, a high-quality genome assembly is developed for the elite cultivar ZH20 and a comprehensive genetic variation map is constructed by resequencing of 546 diverse adzuki bean accessions. Genomic and phenotypic analyses of this diversity panel reveal distinct population structures and identify genomic variations underlying key agronomic traits, including seed coat color, size, shape, and flowering time, linked to adaptation and selection. This analysis pinpointed 251 loci significantly associated with eight key agronomic traits, highlighting promising candidate genes, such as ANKRD50 and NAC73 for seed morphology, ANR1 for flavonoid content, and NPF5.4 for flowering time. Furthermore, comparative genomics provides insights into domestication processes. These datasets are integrated to develop AdzukiBeanAtlas (https://www.cgris.net/AdzukiBeanAtlas), a versatile toolkit to facilitate breeding strategies. These resources provide a valuable foundation for understanding adzuki bean diversity, while AdzukiBeanAtlas serves as a user-friendly, cross-platform tool for molecular marker development, helping to accelerate future breeding programs.

Details

Title: High-Resolution Genomic Resources for Trait Mapping and Precision Breeding for Adzuki Bean (Vigna angularis)
Authors/Creators: Liangliang Hu - Institute of Crop Sciences
Xiaolei Wang - Anhui Academy of Agricultural Sciences
Yazhou Zhang - Tianjin University of Technology
Vanika Garg - Murdoch University
Xingxing Yuan - Jiangsu Academy of Agricultural Sciences
Renfeng Xue - Liaoning Academy of Agricultural Sciences
Hongmei Zhou - Baoding People's Hospital
Yanhua Chen - Guangxi Academy of Agricultural Science
Weili Hu - Nanyang Institute of Technology
Rutwik Barmukh - Murdoch University
Rong Cao - Institute of Crop Sciences
Tianxiao Chen - Institute of Crop Sciences
Qiannan Song - Institute of Crop Sciences
Dan Gao - Tianjin University of Technology
Gaoling Luo - Guangxi Academy of Agricultural Science
Xu Zhu - Nanyang Institute of Technology
Xin Jing - Tianjin University of Technology
Suhua Wang - Institute of Crop Sciences
Caiju Li - Baoding People's Hospital
Yunshan Wei - Anhui Academy of Agricultural Sciences
Weide Ge - Liaoning Academy of Agricultural Sciences
Xin Chen - Jiangsu Academy of Agricultural Sciences
Lixia Wang - Institute of Crop Sciences
Rajeev K Varshney - Centre for Crop and Food Innovation, WA State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, 6150, Australia
Chengzhi Jiao - Tianjin University of Technology
Xuzhen Cheng - Institute of Crop Sciences
Honglin Chen - Institute of Crop Sciences
Publication Details: Advanced science, Vol.13(4), e07157
Publisher: Wiley-VCH GmbH; HOBOKEN
Number of pages: 16
Grant note: 332572308 / National Natural Science Foundation of China CARS-08-G04 / Agriculture Research System of China 2021YFD1200105 / National Key R&D Program of China Technology Innovation Program of CAAS 31401442 / National Natural Science Foundation of China 2018YFD1000703 / National Key R&D Program of China
Identifiers: 991005830208507891
Murdoch Affiliation: Centre for Crop and Food Innovation; State Agricultural Biotechnology Centre
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: No Topic Assigned; No Topic Assigned; No Topic Assigned
Web Of Science research areas: Chemistry, Multidisciplinary; Materials Science, Multidisciplinary; Nanoscience & Nanotechnology
ESI research areas: Physics