ArticleHorticulture research2014
Varietal identification of tea (Camellia sinensis) using nanofluidic array of single nucleotide polymorphism (SNP) markers.
Article in Horticulture research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- A lightweight deep learning framework for tea cultivar identification based on leaf images.Frontiers in plant science · 2026Article
- Genome-Wide Association Study for Drought Tolerance in Cowpea (International journal of molecular sciences · 2025Article
- SNP Fingerprinting for Germplasm Identification of the Fast-Growing Pacific oyster (Crassostrea gigas) "Haida No. 1" Variety.Marine biotechnology (New York, N.Y.) · 2024Article
- Genome-Wide SNP and Indel Discovery in Abaca (Current issues in molecular biology · 2023Article
- Development of SNP Markers for Original Analysis and Germplasm Identification inPlants (Basel, Switzerland) · 2022Article
- Quantitative detection of caffeine in beverages using flowing atmospheric-pressure afterglow (FAPA) ionization high-resolution mass spectrometry imaging and performance evaluation of different thin-layer chromatography plates as sample substrates.Analytical and bioanalytical chemistry · 2022Article
- Genetic diversity assessment ofFrontiers in plant science · 2022Article
- United States tea: A synopsis of ongoing tea research and solutions to United States tea production issues.Frontiers in plant science · 2022Review
- Molecular Approaches to Agri-Food Traceability and Authentication: An Updated Review.Foods (Basel, Switzerland) · 2021Review
- Integrative Transcriptomic and Metabolic Analyses Provide Insights into the Role of Trichomes in Tea Plant (Biomolecules · 2020Article
- Characterization of genome-wide genetic variations between two varieties of tea plant (Camellia sinensis) and development of InDel markers for genetic research.BMC genomics · 2019Article
- Genetic diversity, linkage disequilibrium, and population structure analysis of the tea plant (Camellia sinensis) from an origin center, Guizhou plateau, using genome-wide SNPs developed by genotyping-by-sequencing.BMC plant biology · 2019Article
- Genome-wide identification and expression analysis of GRAS family transcription factors in tea plant (Camellia sinensis).Scientific reports · 2018Article
- Usefulness of a New Large Set of High Throughput EST-SNP Markers as a Tool for Olive Germplasm Collection Management.Frontiers in plant science · 2018Article
- Transcriptional profiling of catechins biosynthesis genes during tea plant leaf development.Planta · 2017Article
- DNA barcode and identification of the varieties and provenances of Taiwan's domestic and imported made teas using ribosomal internal transcribed spacer 2 sequences.Journal of food and drug analysis · 2017Article
- Biotechnological advances in tea (Camellia sinensis [L.] O. Kuntze): a review.Plant cell reports · 2016Review
- Selection of suitable reference genes for qRT-PCR normalization during leaf development and hormonal stimuli in tea plant (Camellia sinensis).Scientific reports · 2016Article
- An efficient identification strategy of clonal tea cultivars using long-core motif SSR markers.SpringerPlus · 2016Article
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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