Fang Wan-Ping, Meinhardt Lyndel W, Tan Hua-Wei, Zhou Lin, Mischke Sue, Zhang Dapeng
College of Horticulture, Nanjing Agricultural University , Nanjing 210095, China ; Sustainable Perennial Crops Laboratory, USDA-ARS, Beltsville Agricultural Research Center , Beltsville, MD 20705, USA.
Sustainable Perennial Crops Laboratory, USDA-ARS, Beltsville Agricultural Research Center , Beltsville, MD 20705, USA.
Hortic Res. 2014 Jul 30;1:14035. doi: 10.1038/hortres.2014.35. eCollection 2014.
Apart from water, tea is the world's most widely consumed beverage. Tea is produced in more than 50 countries with an annual production of approximately 4.7 million tons. The market segment for specialty tea has been expanding rapidly owing to increased demand, resulting in higher revenues and profits for tea growers and the industry. Accurate varietal identification is critically important to ensure traceability and authentication of premium tea products, which in turn contribute to on-farm conservation of tea genetic diversity. Using a set of single nucleotide polymorphism (SNP) markers developed from the expressed sequence tag (EST) database of Camilla senensis, we genotyped deoxyribonucleic acid (DNA) samples extracted from a diverse group of tea varieties, including both fresh and processed commercial loose-leaf teas. The validation led to the designation of 60 SNPs that unambiguously identified all 40 tested tea varieties with high statistical rigor (p<0.0001). Varietal authenticity and genetic relationships among the analyzed cultivars were further characterized by ordination and Bayesian clustering analysis. These SNP markers, in combination with a high-throughput genotyping protocol, effectively established and verified specific DNA fingerprints for all tested tea varieties. This method provides a powerful tool for variety authentication and quality control for the tea industry. It is also highly useful for the management of tea genetic resources and breeding, where accurate and efficient genotype identification is essential.
除了水,茶是世界上消费最广泛的饮品。50多个国家生产茶叶,年产量约470万吨。由于需求增加,特种茶市场一直在迅速扩张,这为茶农和茶叶行业带来了更高的收入和利润。准确的品种鉴定对于确保优质茶叶产品的可追溯性和真实性至关重要,这反过来有助于在农场层面保护茶叶遗传多样性。利用从茶树表达序列标签(EST)数据库开发的一组单核苷酸多态性(SNP)标记,我们对从包括新鲜和加工后的商业散叶茶在内的多种茶叶品种中提取的脱氧核糖核酸(DNA)样本进行了基因分型。验证结果确定了60个SNP,这些SNP以高统计严谨性(p<0.0001)明确鉴定了所有40个测试茶叶品种。通过排序和贝叶斯聚类分析进一步表征了分析品种之间的品种真实性和遗传关系。这些SNP标记与高通量基因分型方案相结合,有效地建立并验证了所有测试茶叶品种的特定DNA指纹。该方法为茶叶行业的品种鉴定和质量控制提供了一个强大的工具。它对于茶叶遗传资源管理和育种也非常有用,在这些领域准确而高效的基因型鉴定至关重要。