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作 者:Wan-Ping Fang Lyndel W Meinhardt Hua-Wei Tan Lin Zhou Sue Mischke Dapeng Zhang
机构地区:[1]College of Horticulture,Nanjing Agricultural University,Nanjing 210095,China [2]Sustainable Perennial Crops Laboratory,USDA-ARS,Beltsville Agricultural Research Center,Beltsville,MD 20705,USA
出 处:《Horticulture Research》2014年第1期142-149,共8页园艺研究(英文)
基 金:This work was partially supported by the National Natural Science Foundation of China(30800884,31370688);References to a company and/or product by the USDA are only for the purposes of information and do not imply approval or recommendation of the product to the exclusion of others that may also be suitable.
摘 要: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.
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