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Analysis of whole-GEnome for medicinal species identification of Citrus
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Na-na ZHANG1, Yu-tong GAN1, Tian-yi XIN1, Zhi-jie SHI1, Wen-jie XU1, Jing-yuan SONG1, 2, *
Acta Pharmaceutica Sinica | 2026, 61(5) : 1841 - 1851
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Acta Pharmaceutica Sinica | 2026, 61(5): 1841-1851
• Original Articles •
Analysis of whole-GEnome for medicinal species identification of Citrus
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Na-na ZHANG1, Yu-tong GAN1, Tian-yi XIN1, Zhi-jie SHI1, Wen-jie XU1, Jing-yuan SONG1, 2, *
Affiliations
  • 1Key Lab of Chinese Medicine Resources Conservation, State Administration of Traditional Chinese Medicine of the People's Republic of China, Engineering Research Center of Chinese Medicine Resource, Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China
  • 2State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing 100193, China
Published: 2026-05-12 doi: 10.16438/j.0513-4870.2025-1377
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Citrus plants are economically and medicinally important crops worldwide. However, due to the highly complex genetic background of the genus, the accurate identification of medicinal species within this genus remains a major challenge. In this study, we employed the analysis of whole-GEnome (AGE), also known as the Shizhen Method, to conduct bioinformatics analysis on 49 genomes from 15 Citrus species, successfully constructing a candidate species-specific target sequence library that covers these species. The number of specific target sequences per species predominantly ranges from 10 000 to 100 000. From this candidate library, species-specific target sequences were selected for the corresponding species. Their high specificity was subsequently verified using Sanger sequencing and CRISPR-Cas12a technology, which confirmed their efficacy in identifying medicinal Citrus species. Based on this foundation, we established an AGE-based identification system for closely related Citrus species, which enabled the precise authentication of 30 commercial samples of Citri Reticulatae Semen and its decoction pieces. This study demonstrates that the AGE can be used for the accurate identification of medicinal Citrus species, which breaks through the bottlenecks of traditional methods and effectively resolves the identification challenges. It thereby provides technical support for quality control of Chinese herbal medicine and clinical medication safety.

Citrus  /  analysis of whole-GEnome  /  bioinformatics analysis  /  specific target sequences  /  medicinal species identification
张娜娜, 甘雨桐, 辛天怡, 史志杰, 许文杰, 宋经元. 基于时珍法的柑橘属药用物种鉴定研究. 药学学报, 2026 , 61 (5) : 1841 -1851 . DOI: 10.16438/j.0513-4870.2025-1377
Na-na ZHANG, Yu-tong GAN, Tian-yi XIN, Zhi-jie SHI, Wen-jie XU, Jing-yuan SONG. Analysis of whole-GEnome for medicinal species identification of Citrus[J]. Acta Pharmaceutica Sinica, 2026 , 61 (5) : 1841 -1851 . DOI: 10.16438/j.0513-4870.2025-1377
Year 2026 volume 61 Issue 5
176
84
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Article Info
doi: 10.16438/j.0513-4870.2025-1377
  • Receive Date:2025-11-19
  • Online Date:2026-09-21
  • Published:2026-05-12
Article Data
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History
  • Received:2025-11-19
  • Revised:2026-01-12
Affiliations
    1Key Lab of Chinese Medicine Resources Conservation, State Administration of Traditional Chinese Medicine of the People's Republic of China, Engineering Research Center of Chinese Medicine Resource, Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China
    2State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Beijing 100193, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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