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Research paper | Open Access

Multiomics driven identification of glycosyltransferases in flavonoid glycoside biosynthesis in safflower

Nan Liua,b,1, Yupan Zouc,f,1, Zhouqian Jianga,d, Lichan Tua, Xiaoyi Wua, Dan Lie, Jiadian Wanga, Luqi Huangb( ), Cao Xuc,f( ), Wei Gaod,a( )
School of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China
National Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, Chinese Academy of Chinese Medical Sciences, Beijing 100700, China
State Key Laboratory of Plant Genomics, National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100049, China
Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China
School of Pharmaceutical Sciences, Capital Medical University, Beijing 100069, China
CAS-JIC Centre of Excellence for Plant and Microbial Science, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100049, China

1 These authors contributed equally to this work.

Peer review under responsibility of Chinese Society of Horticultural Science (CSHS) and Institute of Vegetables and Flowers (IVF), Chinese Academy of Agricultural Sciences (CAAS).

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Abstract

Safflower is an important oilseed crop that has been used in traditional Chinese medicine for thousands of years because of the clinically valuable flavonoid glycosides in its flower petals. However, the biosynthesis and molecular regulation of these compounds are still elusive due to the lack of a high-quality reference genome and scarce identification of key biosynthetic pathway genes in a medicinal safflower variety. Here we leveraged an integrative multi-omics strategy by combining genomic, comparative genomics, and tissue-specific transcriptome profiling with biochemical analysis to identify uridine diphosphate glycosyltransferases (UGTs) for flavonoid glycoside biosynthesis in safflower. We assembled and annotated a high-quality reference genome of a medicinal safflower variety, ‘Yunhong3’. A comprehensive comparative genomic analysis indicated that an evolutionary whole-genome triplication event occurring in safflower contributed to gene amplification of the flavonoid biosynthetic pathway. By combining comparative transcriptome profiling with enzymatic reactions, we identified 11 novel UGTs that could catalyze the conversion of naringenin chalcone and phloretin to the corresponding O-glycosides. Moreover, we outlined the molecular pathway of hydroxysafflor yellow A (HSYA) biosynthesis featured by 17 newly identified UGTs with promising catalytic activity, laying the foundation for the synthetic production of HSYA. Our study reports systemic genome and gene expression information for flavonoid glycoside biosynthesis in medicinal safflower and provides insights into mechanisms regulating HSYA biosynthesis, which would facilitate the genetic improvement and synthetic bioengineering design for producing clinically valuable flavonoid glycosides in safflower.

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Horticultural Plant Journal
Pages 189-206

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Cite this article:
Liu N, Zou Y, Jiang Z, et al. Multiomics driven identification of glycosyltransferases in flavonoid glycoside biosynthesis in safflower. Horticultural Plant Journal, 2026, 12(1): 189-206. https://doi.org/10.1016/j.hpj.2024.01.016

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Received: 26 December 2023
Accepted: 18 January 2024
Published: 17 December 2024
© 2024 Chinese Society for Horticultural Science (CSHS) and Institute of Vegetables and Flowers (IVF), Chinese Academy of Agricultural Sciences (CAAS).

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).