ArticlePloS one2014
Construction of a SSR-based genetic map and identification of QTLs for catechins content in tea plant (Camellia sinensis).
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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27 citing papers in PubMed, 88 citations in OpenAlex.
- Identification and Development of Pathogen- and Pest-Specific Defense-Resistance-Associated SSR Marker Candidates Assisted by Machine Learning and Discovery of Putative QTL Hotspots inPlants (Basel, Switzerland) · 2026Article
- SSR genotyping of 200 tea (Camellia sinensis) clones obtained by selection and DNA barcoding of 12 varietal registration candidates.BMC plant biology · 2025Article
- Identification of QTLs controlling hydrolyzable tannin contents derived from a wild tea relative,Breeding science · 2025Article
- Cytological Observation of Distant Hybridization Barrier and Preliminary Investigation of Hybrid Offspring in Tea Plants.Plants (Basel, Switzerland) · 2025Article
- High-density genetic map construction and QTL mapping of a zigzag-shaped stem trait in tea plant (Camellia sinensis).BMC plant biology · 2024Article
- SSR-based molecular diagnosis for Taiwan tea cultivars and its application in identifying cultivar composition of the processed tea.Journal of food and drug analysis · 2023Article
- The Current Developments in Medicinal Plant Genomics Enabled the Diversification of Secondary Metabolites' Biosynthesis.International journal of molecular sciences · 2022Review
- Amplicon Sequencing Reveals Novel Fungal Species Responsible for a Controversial Tea Disease.Journal of fungi (Basel, Switzerland) · 2022Article
- Genome Survey and SSR Analysis ofGenetics research · 2022Article
- Genetic analysis of the early bud flush trait of tea plants (Horticulture research · 2022Article
- Development of genic SSR marker resources from RNA-seq data in Camellia japonica and their application in the genus Camellia.Scientific reports · 2021Article
- Genome-wide association analysis identified molecular markers associated with important tea flavor-related metabolites.Horticulture research · 2021Article
- A functional molecular marker for detecting blister blight disease resistance in tea (Camellia sinensis L.).Plant cell reports · 2021Article
- QTL Mapping for Leaf Area of Tea Plants (Frontiers in plant science · 2021Article
- Development of EST-SSR markers and association mapping with floral traits in Syringa oblata.BMC plant biology · 2020Article
- Population sequencing enhances understanding of tea plant evolution.Nature communications · 2020Article
- TeaMiD: a comprehensive database of simple sequence repeat markers of tea.Database : the journal of biological databases and curation · 2020Article
- Tea plant genomics: achievements, challenges and perspectives.Horticulture research · 2020Review
- Genetic Mapping With Allele Dosage Information in TetraploidFrontiers in plant science · 2019Article
- High-density SNP linkage map construction and QTL mapping for flavonoid-related traits in a tea plant (Camellia sinensis) using 2b-RAD sequencing.BMC genomics · 2018Article
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Authors and funding
7 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Catechins are the most important bioactive compounds in tea, and have been demonstrated to possess a wide variety of pharmacological activities. To characterize quantitative trait loci (QTLs) for catechins content in the tender shoots of tea plant, we constructed a moderately saturated genetic map using 406 simple sequence repeat (SSR) markers, based on a pseudo-testcross population of 183 individuals derived from an intraspecific cross of two Camellia sinensis varieties with diverse catechins composition. The map consisted of fifteen linkage groups (LGs), corresponding to the haploid chromosome number of tea plant (2n = 2x = 30). The total map length was 1,143.5 cM, with an average locus spacing of 2.9 cM. A total of 25 QTLs associated with catechins content were identified over two measurement years. Of these, nine stable QTLs were validated across years, and clustered into four main chromosome regions on LG03, LG11, LG12 and LG15. The population variability explained by each QTL was predominantly at moderate-to-high levels and ranged from 2.4% to 71.0%, with an average of 17.7%. The total number of QTL for each trait varied from four to eight, while the total population variability explained by all QTLs for a trait ranged between 38.4% and 79.7%. This is the first report on the identification of QTL for catechins content in tea plant. The results of this study provide a foundation for further cloning and functional characterization of catechin QTLs for utilization in improvement of tea plant.
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