ArticleScientific reports2020
Genomic predictions and genome-wide association studies based on RAD-seq of quality-related metabolites for the genomics-assisted breeding of tea plants.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed.
- Chromosome-scale genome assembly and genomic prediction of essential oil compounds in Atractylodes lancea for genomics-assisted breeding.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026Article
- Advances in tea breeding in Japan: from traditional methods to genomic approaches.Breeding science · 2026Article
- Genome wide association analysis of flavour related metabolites in tea germplasm [Camellia sinensis (L.) Kuntze] from Assam using a genotyping by sequencing strategy.BMC plant biology · 2025Article
- A genome-wide association study reveals the genetic architecture of 19 agronomic traits in broomcorn millet (Panicum miliaceum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Ectopic biosynthesis of catechin of tea plant can be completed by co-expression of the threeHorticulture research · 2025Article
- Stress-Relieving Effects of Japanese Green Tea: Evaluation Using the Molar Ratio of Caffeine and Epigallocatechin Gallate to Theanine and Arginine as an Indicator.Foods (Basel, Switzerland) · 2025Article
- Soil chemical factors contributing to differences in bacterial communities among tea field soils and their relationships with tea quality.Frontiers in plant science · 2025Article
- Evolution of the biochemistry underpinning purine alkaloid metabolism in plants.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Genomic prediction of resistance toEvolutionary applications · 2024Article
- Depicting the genetic and metabolic panorama of chemical diversity in the tea plant.Plant biotechnology journal · 2024Article
- Article
- Genome-Wide Association Studies of Biluochun Tea Plant Populations in Dongting Mountain and Comprehensive Identification of Candidate Genes Associated with Core Agronomic Traits by Four Analysis Models.Plants (Basel, Switzerland) · 2023Article
- Genome-wide association study of leaf-related traits in tea plant in Guizhou based on genotyping-by-sequencing.BMC plant biology · 2023Article
- Genomic selection strategies to increase genetic gain in tea breeding programs.The plant genome · 2023Article
- Effects of Observed Incubation Behavior on Egg Production in Laying Hens of a Commercial Chicken Breed and Detection of Single-Nucleotide Polymorphisms Associated with the Incubation Behavior.The journal of poultry science · 2022Article
- Applications of Genomic Tools in Plant Breeding: Crop Biofortification.International journal of molecular sciences · 2022Review
- Heritable Variation of Foliar Spectral Reflectance Enhances Genomic Prediction of Hydrogen Cyanide in a Genetically Structured Population 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
- Article
- Potential of spectroscopic analyses for non-destructive estimation of tea quality-related metabolites in fresh new leaves.Scientific reports · 2021Article
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7 authors.
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Abstract
Effectively using genomic information greatly accelerates conventional breeding and applying it to long-lived crops promotes the conversion to genomic breeding. Because tea plants are bred using conventional methods, we evaluated the potential of genomic predictions (GPs) and genome-wide association studies (GWASs) for the genetic breeding of tea quality-related metabolites using genome-wide single nucleotide polymorphisms (SNPs) detected from restriction site-associated DNA sequencing of 150 tea accessions. The present GP, based on genome-wide SNPs, and six models produced moderate prediction accuracy values (r) for the levels of most catechins, represented by ( -)-epigallocatechin gallate (r = 0.32-0.41) and caffeine (r = 0.44-0.51), but low r values for free amino acids and chlorophylls. Integrated analysis of GWAS and GP detected potential candidate genes for each metabolite using 80-160 top-ranked SNPs that resulted in the maximum cumulative prediction value. Applying GPs and GWASs to tea accession traits will contribute to genomics-assisted tea breeding.
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