Open Access
Open access
volume 11 issue 1 publication number 3719

Genome assembly of wild tea tree DASZ reveals pedigree and selection history of tea varieties

Weiyi Zhang 1
Youjun Zhang 2, 3
Haiji Qiu 1
Yafei Guo 1
Haoliang Wan 1
Xiaoliang Zhang 1
Federico Scossa 3, 4
Saleh Alseekh 2, 3
Qinghua Zhang 5
Pu Wang Pu 1
Li Xu 1
Maximilian H.-W. Schmidt 6
Xinxin Jia 1
Daili Li 1
Anting Zhu 5
Fei Guo 1
Wei Chen 5
Dejiang Ni 1
Björn Usadel 6, 7, 8
Eric Lam 2, 3
Wei-Wei Wen 1
Publication typeJournal Article
Publication date2020-07-24
scimago Q1
wos Q1
SJR4.761
CiteScore23.4
Impact factor15.7
ISSN20411723
General Chemistry
General Biochemistry, Genetics and Molecular Biology
General Physics and Astronomy
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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GOST Copy
Zhang W. et al. Genome assembly of wild tea tree DASZ reveals pedigree and selection history of tea varieties // Nature Communications. 2020. Vol. 11. No. 1. 3719
GOST all authors (up to 50) Copy
Zhang W., Zhang Y., Qiu H., Guo Y., Wan H., Zhang X., Scossa F., Alseekh S., Zhang Q., Wang Pu P., Xu L., Schmidt M. H., Jia X., Li D., Zhu A., Guo F., Chen W., Ni D., Usadel B., Lam E., Wen W. Genome assembly of wild tea tree DASZ reveals pedigree and selection history of tea varieties // Nature Communications. 2020. Vol. 11. No. 1. 3719
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1038/s41467-020-17498-6
UR - https://doi.org/10.1038/s41467-020-17498-6
TI - Genome assembly of wild tea tree DASZ reveals pedigree and selection history of tea varieties
T2 - Nature Communications
AU - Zhang, Weiyi
AU - Zhang, Youjun
AU - Qiu, Haiji
AU - Guo, Yafei
AU - Wan, Haoliang
AU - Zhang, Xiaoliang
AU - Scossa, Federico
AU - Alseekh, Saleh
AU - Zhang, Qinghua
AU - Wang Pu, Pu
AU - Xu, Li
AU - Schmidt, Maximilian H.-W.
AU - Jia, Xinxin
AU - Li, Daili
AU - Zhu, Anting
AU - Guo, Fei
AU - Chen, Wei
AU - Ni, Dejiang
AU - Usadel, Björn
AU - Lam, Eric
AU - Wen, Wei-Wei
PY - 2020
DA - 2020/07/24
PB - Springer Nature
IS - 1
VL - 11
PMID - 32709943
SN - 2041-1723
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2020_Zhang,
author = {Weiyi Zhang and Youjun Zhang and Haiji Qiu and Yafei Guo and Haoliang Wan and Xiaoliang Zhang and Federico Scossa and Saleh Alseekh and Qinghua Zhang and Pu Wang Pu and Li Xu and Maximilian H.-W. Schmidt and Xinxin Jia and Daili Li and Anting Zhu and Fei Guo and Wei Chen and Dejiang Ni and Björn Usadel and Eric Lam and Wei-Wei Wen},
title = {Genome assembly of wild tea tree DASZ reveals pedigree and selection history of tea varieties},
journal = {Nature Communications},
year = {2020},
volume = {11},
publisher = {Springer Nature},
month = {jul},
url = {https://doi.org/10.1038/s41467-020-17498-6},
number = {1},
pages = {3719},
doi = {10.1038/s41467-020-17498-6}
}