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Abstract
Wild teas are valuable genetic resources for studying domestication and breeding. Here we report the assembly of a high-quality chromosome-scale reference genome for an ancient tea tree. The further RNA sequencing of 217 diverse tea accessions clarifies the pedigree of tea cultivars and reveals key contributors in the breeding of Chinese tea. Candidate genes associated with flavonoid biosynthesis are identified by genome-wide association study. Specifically, diverse allelic function of CsANR, CsF3’5’H and CsMYB5 is verified by transient overexpression and enzymatic assays, providing comprehensive insights into the biosynthesis of catechins, the most important bioactive compounds in tea plants. The inconspicuous differentiation between ancient trees and cultivars at both genetic and metabolic levels implies that tea may not have undergone long-term artificial directional selection in terms of flavor-related metabolites. These genomic resources provide evolutionary insight into tea plants and lay the foundation for better understanding the biosynthesis of beneficial natural compounds.
Wild teas are considered as valuable resource for studying domestication and breeding. Here, Zhang et al. report genome of wild tea DASZ and transcriptome of 217 accessions, which clarify pedigree of Chinese tea cultivars and show tea may not have undergone long-term artificial directional selection on flavor-related metabolites.
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1 Huazhong Agricultural University, Key Laboratory of Horticultural Plant Biology (MOE), College of Horticulture and Forestry Sciences, Wuhan, China (GRID:grid.35155.37) (ISNI:0000 0004 1790 4137)
2 Center of Plant Systems Biology and Biotechnology, Plovdiv, Bulgaria (GRID:grid.35155.37); Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany (GRID:grid.418390.7) (ISNI:0000 0004 0491 976X)
3 Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany (GRID:grid.418390.7) (ISNI:0000 0004 0491 976X); Research Center for Genomics and Bioinformatics, Council for Agricultural Research and Economics, Rome, Italy (GRID:grid.418390.7)
4 Center of Plant Systems Biology and Biotechnology, Plovdiv, Bulgaria (GRID:grid.418390.7); Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany (GRID:grid.418390.7) (ISNI:0000 0004 0491 976X)
5 Huazhong Agricultural University, National Key Laboratory of Crop Genetic Improvement, Wuhan, China (GRID:grid.35155.37) (ISNI:0000 0004 1790 4137)
6 RWTH Aachen University, Institute for Botany and Molecular Genetics, BioEconomy Science Center, Aachen, Germany (GRID:grid.1957.a) (ISNI:0000 0001 0728 696X)
7 RWTH Aachen University, Institute for Botany and Molecular Genetics, BioEconomy Science Center, Aachen, Germany (GRID:grid.1957.a) (ISNI:0000 0001 0728 696X); Institute of Bio- and Geosciences, IBG-4: Bioinformatics, CEPLAS, Forschungszentrum Jülich, Jülich, Germany (GRID:grid.8385.6) (ISNI:0000 0001 2297 375X); Heinrich Heine University, Institute for Biological Data Science, Düsseldorf, Germany (GRID:grid.411327.2) (ISNI:0000 0001 2176 9917)
8 Center of Plant Systems Biology and Biotechnology, Plovdiv, Bulgaria (GRID:grid.411327.2); Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany (GRID:grid.418390.7) (ISNI:0000 0004 0491 976X)