ORIGINAL RESEARCH article
Front. Plant Sci.
Sec. Plant Bioinformatics
Identification of Intraspecific Cultivar Melia azedarach 'Mizhi' Based on Complete Chloroplast Genome Data and Leaf Anatomy
Xiaoxuan Fan 1
Fengjiao Shen 1
Yaqiang Luan 1
Tao Dong 1
Chenxi Zhang 1
Fengwu Gou 1
Yitong Han 1
Wenhan Yao 1
Lu Wang 1
Xiaoman Wang 1
Zhengge Zhu 1
Yanlei Liu 2
Lin Li 1
Jiancheng Zhao 1
Zhibin Li 3
Shulei Jiang 4
Xiaoxia Bai 4
Shuo Shi 1
1. Hebei Normal University, Shijiazhuang, China
2. Hebei University of Engineering, Handan, China
3. Shijiazhuang Shenzhou Flower Insititute Co. Ltd., Shijiazhuang, China
4. Shijiazhuang Academy of Agriculture and Forestry Sciences, Shijiazhuang, China
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Abstract
The Melia azedarach ‘Mizhi’ (cultivar ‘Mizhi’) is a recently developed cultivar within the genus Melia. It has an elegant tree form, dense foliage, and notable ornamental, ecological, and potential medicinal value, offering broad market prospects. As the number of cultivar Melia continues to increase, accurate identification of these cultivars becomes increasingly critical to ensure its proper utilization and successful large-scale promotion. This study aims to provide more evidence for variety identification, development and protection by analyzing shallow whole-genome sequencing data, leaf epidermal and cross-sectional structure. Finally, four complementary approaches: nuclear gene fragments, complete chloroplast genome data, leaf epidermal structure (include micromorphological and ultrastructural characteristic), and leaf cross-sectional structure, were used in this study. The results show that the Melia azedarach ‘Mizhi’ exhibits its uniqueness in all of the above aspects. Moreover, the SNP based on the chloroplast genome can directly reveal the differences between Melia azedarach ‘Mizhi’ and others. Overall, this study provides precise molecular markers for the identification and protection of Melia azedarach ‘Mizhi’, offering new technical tools and theoretical support for the sustainable development and utilization of Melia species. The standardized molecular markers and multi-scale phenotypic data generated in this study also provide high-quality source data for future AI-assisted and automated cultivar identification. This work lays a solid foundation for the development of objective, scalable, and data-driven identification systems in plant cultivar research.
Summary
Keywords
complete chloroplast genome, DNA barcoding, Melia, Melia azedarach 'Mizhi', varietyidentification
Received
07 January 2026
Accepted
20 February 2026
Copyright
© 2026 Fan, Shen, Luan, Dong, Zhang, Gou, Han, Yao, Wang, Wang, Zhu, Liu, Li, Zhao, Li, Jiang, Bai and Shi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yanlei Liu
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