Journal of advanced research · 2026
Chromosome-level genome of wild-simulated Panax ginseng identifies SNP markers for germplasm and medicinal quality evaluation.
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Liao Xuejiao, Xi Yidan, Liao Baosheng, Xiao Shuiming, Guo Shuai, Hu Haoyu, Huang Zhihai, Dou Deqiang, Chen Shilin, Xu Jiang
Аннотация
INTRODUCTION: Panax ginseng C. A. Mey., a precious traditional medicinal herb, demonstrates diverse pharmacological activities, including immunomodulation and anti-fatigue effects. However, prolonged cultivation has led to germplasm admixture and cultivar degeneration, resulting in inconsistent quality that severely compromises its medicinal value and industrial standardization. Therefore, establishing accurate and efficient germplasm evaluation tools is critical for ensuring the quality of P. ginseng medicinal materials.
OBJECTIVES: To integrate whole-genome sequencing and chemical fingerprinting for ginseng germplasm identification and quality consistency assessment.
METHODS: Chromosome-level genomes of ginseng from Jilin (JA) and Liaoning (FC) were assembled using PacBio HiFi, Illumina, and Hi-C technologies. Gene family identification and phylogenetic analysis were performed across 13 representative species. Using the JA genome as the reference, we constructed a pan-genome incorporating 7 ginseng genomes to dissect gene repertoire composition and structural variation distribution across ginseng populations. Population structure analysis with 76 individual ginseng samples revealed genetic diversity, and its integration with HPLC chemical fingerprints provided a joint assessment of quality consistency.
RESULTS: We assembled two chromosome-level genomes and, through comparative genomics, revealed significant expansion of ginsenoside biosynthesis-related gene families and subgenome divergence. The core gene set accounted for 54.1% of the pan-genome, indicating high genetic conservation. SNP distribution patterns from population resequencing enabled the development of germplasm-specific molecular markers and a genetic-chemical integrated evaluation model.
CONCLUSION: The molecular marker system and genetic-chemical joint assessment developed here provide reliable novel tools for germplasm identification and quality control, advancing standardization in the ginseng industry.
OBJECTIVES: To integrate whole-genome sequencing and chemical fingerprinting for ginseng germplasm identification and quality consistency assessment.
METHODS: Chromosome-level genomes of ginseng from Jilin (JA) and Liaoning (FC) were assembled using PacBio HiFi, Illumina, and Hi-C technologies. Gene family identification and phylogenetic analysis were performed across 13 representative species. Using the JA genome as the reference, we constructed a pan-genome incorporating 7 ginseng genomes to dissect gene repertoire composition and structural variation distribution across ginseng populations. Population structure analysis with 76 individual ginseng samples revealed genetic diversity, and its integration with HPLC chemical fingerprints provided a joint assessment of quality consistency.
RESULTS: We assembled two chromosome-level genomes and, through comparative genomics, revealed significant expansion of ginsenoside biosynthesis-related gene families and subgenome divergence. The core gene set accounted for 54.1% of the pan-genome, indicating high genetic conservation. SNP distribution patterns from population resequencing enabled the development of germplasm-specific molecular markers and a genetic-chemical integrated evaluation model.
CONCLUSION: The molecular marker system and genetic-chemical joint assessment developed here provide reliable novel tools for germplasm identification and quality control, advancing standardization in the ginseng industry.