Nature Communications (Sep 2020)
Population sequencing enhances understanding of tea plant evolution
- Xinchao Wang,
- Hu Feng,
- Yuxiao Chang,
- Chunlei Ma,
- Liyuan Wang,
- Xinyuan Hao,
- A’lun Li,
- Hao Cheng,
- Lu Wang,
- Peng Cui,
- Jiqiang Jin,
- Xiaobo Wang,
- Kang Wei,
- Cheng Ai,
- Sheng Zhao,
- Zhichao Wu,
- Youyong Li,
- Benying Liu,
- Guo-Dong Wang,
- Liang Chen,
- Jue Ruan,
- Yajun Yang
Affiliations
- Xinchao Wang
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences
- Hu Feng
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
- Yuxiao Chang
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
- Chunlei Ma
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences
- Liyuan Wang
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences
- Xinyuan Hao
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences
- A’lun Li
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
- Hao Cheng
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences
- Lu Wang
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences
- Peng Cui
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
- Jiqiang Jin
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences
- Xiaobo Wang
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
- Kang Wei
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences
- Cheng Ai
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
- Sheng Zhao
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
- Zhichao Wu
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
- Youyong Li
- Tea Research Institute, Yunnan Academy of Agricultural Sciences
- Benying Liu
- Tea Research Institute, Yunnan Academy of Agricultural Sciences
- Guo-Dong Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences
- Liang Chen
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences
- Jue Ruan
- Lingnan Guangdong Laboratory of Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences
- Yajun Yang
- Key Laboratory of Tea Biology and Resource Utilization, Ministry of Agriculture and Rural Affairs, National Center for Tea Plant Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences
- DOI
- https://doi.org/10.1038/s41467-020-18228-8
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 10
Abstract
Tea is an important beverage crop with a large and heterozygous genome. Here, the authors assemble the genome of the cultivar Longjing 43 and conduct a population genetics study to reveal divergent selection for disease resistance and flavor between the two variety groups.
