Identification of intraspecific cultivar Melia azedarach ‘Mizhi’ based on complete chloroplast genome data and leaf anatomy

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 cultivar 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.

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Publication Details

Journal
Frontiers in Plant Science
Published
2026-03-12
DOI
https://doi.org/10.3389/fpls.2026.1783041
Primary Topic
Phytochemical compounds biological activities
Type
article
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article

Identification of intraspecific cultivar Melia azedarach ‘Mizhi’ based on complete chloroplast genome data and leaf anatomy

Tao Dong, Fengjiao Shen, Shuo Shi, Yitong Han et al.
Frontiers in Plant Science
Phytochemical compounds biological activities
article

Identification of intraspecific cultivar Melia azedarach ‘Mizhi’ based on complete chloroplast genome data and leaf anatomy

Tao Dong, Fengjiao Shen, Shuo Shi, Yitong Han, Lu Wang, Lei Li, Shulei Jiang, Xiaoman Wang, Yufang Liu, Xiaoxuan Fan, Xiaoxia Bai, Zhibin Li, Zhengge Zhu, Wenhan Yao, Chenxi Zhang, Jiancheng Zhao, Fengwu Gou, Yaqiang Luan
article en

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 cultivar 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.

Frontiers in Plant ScienceVol. 17
Flower Hospital (US), Shijiazhuang Academy of Agriculture and Forestry Sciences (CN), Ecological Consulting (Czechia) (CZ), Hebei Normal University of Science and Technology (CN), Hebei Normal University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Phytochemical compounds biological activities
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