ArticleNature plants2023
Gene mining and genomics-assisted breeding empowered by the pangenome of tea plant Camellia sinensis.
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Article in Nature plants, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
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69 citing papers in PubMed, 100 citations in OpenAlex.
- Uncovering structural variation in conifer gigagenomes: evolutionary insights and technical challenges.Molecular biology and evolution · 2026Article
- Functional diversification of CsCAD14 orchestrates synergistic phenylpropanoid biosynthesis to defend gray blight disease in tea plants.Science advances · 2026Article
- European ash pangenome reveals widespread structural variation and genetic basis of low ash dieback susceptibility.Nature communications · 2026Article
- Genome-wide identification and evolutionary analysis of the ERF-VII gene family in the tea plant (Camellia sinensis) and functional characterization of CsRAP2.2 in response to cold stress.Plant cell reports · 2026Article
- Comparative Genomics of the TeaInternational journal of molecular sciences · 2026Article
- Integrated metabolomic and transcriptomic analysis of Camellia sinensis var. pubilimba 'Rucheng Baimaocha' reveals distinct flavonoid and strictinin biosynthesis.BMC plant biology · 2026Article
- Long-Tea-CLIP: An Expert-Level Multimodal AI Framework for Fine-Grained Green Tea Grading Across Five Sensory Dimensions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Genome-wide association studies in horticultural crops: decoding genetic diversity for precision breeding.Horticulture research · 2026Article
- Pan-genomic and pan-transcriptomic integration unveils evolutionary dynamics and regulatory diversification of the WRKY gene family in Camellia sinensis.BMC plant biology · 2026Article
- The function of tea plant CsMORF9.3 in chlorophyll biosynthesis and RNA editing.Plant cell reports · 2026Article
- Pan-genome analysis uncovers extensive structural variations in Africa's indigenous legume crop cowpea.Nature communications · 2026Article
- Pangenomic analyses of rose uncover widespread structure variation and empower genomics-directed breeding.Nature genetics · 2026Article
- ddRAD sequencing of 1076Plant diversity · 2026Article
- Evolution of the TCP gene family and pan-genome analysis in tea (Camellia sinensis).BMC plant biology · 2026Article
- From structural pangenomes to functional panomics in plants.Molecular biology and evolution · 2026Review
- Pangenome Analysis Reveals Structural Variations Associated With Citric Acid Accumulation in Prunus mume.Plant biotechnology journal · 2026Article
- Chromosome level genome assembly of Camellia sinensis 'Yuwan Xiaoye'.Scientific data · 2026Article
- The pan-genome provides insights into evolutionary dynamics and fatty acid metabolism in Aceraceae family.Genome biology · 2026Article
- Accessing crop genetic diversity via pangenomics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- panHiTE: A comprehensive and accurate pipeline for TE detection in large-scale population genomes.Plant communications · 2026Article
9 more citing papers are in PubMed but not listed here.
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Authors and funding
23 authors at 4 institutions in 1 country.
Shuai Chen *National Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0002-6861-2682
Pengjie Wang *National Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0002-5444-4200
Weilong Kong *National Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Kun Chai *Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Fujian Agriculture and Forestry University, Fuzhou, China.
Shengcheng ZhangNational Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID http://orcid.org/0000-0002-3949-4269
Jiaxin YuNational Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yibin WangNational Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Mengwei JiangCenter for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Fujian Agriculture and Forestry University, Fuzhou, China.
Wenlong LeiCenter for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Fujian Agriculture and Forestry University, Fuzhou, China.
Xiao ChenNational Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID http://orcid.org/0009-0007-1123-8152
Wenling WangCenter for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Fujian Agriculture and Forestry University, Fuzhou, China.
Yingying GaoNational Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Shenyang QuNational Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Fang WangNational Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yinghao WangCenter for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Fujian Agriculture and Forestry University, Fuzhou, China.
Qing ZhangNational Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Mengya GuCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Kaixing FangTea Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation and Utilization, Guangzhou, China.
Chunlei MaKey Laboratory of Biology, Genetics and Breeding of Special Economic Animals and Plants, Ministry of Agriculture and Rural Affairs, Tea Research Institute of the Chinese Academy of Agricultural Sciences, Hangzhou, China.ORCID http://orcid.org/0000-0002-5171-7672
Weijiang SunCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China.
Naixing YeCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, China. ynxtea@126.com.ORCID http://orcid.org/0000-0003-2955-2813
Hualing WuTea Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation and Utilization, Guangzhou, China. wuhualing@163.com.ORCID http://orcid.org/0000-0003-2074-8430
Xingtan ZhangNational Key Laboratory for Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China. zhangxingtan@caas.cn.ORCID http://orcid.org/0000-0002-5207-0882
Agricultural Genomics Institute at Shenzhen · CNFujian Agriculture and Forestry University · CNGuangdong Academy of Agricultural Sciences · CNChinese Academy of Agricultural Sciences · CN
Funding
National Natural Science Foundation of China (National Science Foundation of China) No. 32222019
Abstract
Tea is one of the world's oldest crops and is cultivated to produce beverages with various flavours. Despite advances in sequencing technologies, the genetic mechanisms underlying key agronomic traits of tea remain unclear. In this study, we present a high-quality pangenome of 22 elite cultivars, representing broad genetic diversity in the species. Our analysis reveals that a recent long terminal repeat burst contributed nearly 20% of gene copies, introducing functional genetic variants that affect phenotypes such as leaf colour. Our graphical pangenome improves the efficiency of genome-wide association studies and allows the identification of key genes controlling bud flush timing. We also identified strong correlations between allelic variants and flavour-related chemistries. These findings deepen our understanding of the genetic basis of tea quality and provide valuable genomic resources to facilitate its genomics-assisted breeding.
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Camellia sinensisGenome-Wide Association StudyGenomicsPlant BreedingTeaTea
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