KMS KUNMING INSTITUTE OF ZOOLOGY.CAS
| Population sequencing enhances understanding of tea plant evolution | |
| Wang, Xinchao; Feng, Hu; Chang, Yuxiao; Ma, Chunlei; Wang, Liyuan; Hao, Xinyuan; Li, A'lun; Cheng, Hao; Wang, Lu; Cui, Peng; Jin, Jiqiang; Wang, Xiaobo; Wei, Kang; Ai, Cheng; Zhao, Sheng; Wu, Zhichao; Li, Youyong; Liu, Benying; Wang, Guo-Dong; Chen, Liang; Ruan, Jue; Yan, Yajun | |
| 2020 | |
| 发表期刊 | NATURE COMMUNICATIONS
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| ISSN | 2041-1723 |
| 卷号 | 11期号:1 |
| 摘要 | Tea is an economically important plant characterized by a large genome, high heterozygosity, and high species diversity. In this study, we assemble a 3.26-Gb high-quality chromosome-scale genome for the 'Longjing 43' cultivar of Camellia sinensis var. sinensis. Genomic resequencing of 139 tea accessions from around the world is used to investigate the evolution and phylogenetic relationships of tea accessions. We find that hybridization has increased the heterozygosity and wide-ranging gene flow among tea populations with the spread of tea cultivation. Population genetic and transcriptomic analyses reveal that during domestication, selection for disease resistance and flavor in C. sinensis var. sinensis populations has been stronger than that in C. sinensis var. assamica populations. This study provides resources for marker-assisted breeding of tea and sets the foundation for further research on tea genetics and evolution. |
| 收录类别 | sci |
| 语种 | 英语 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.kiz.ac.cn/handle/152453/12963 |
| 专题 | 科研部门_行为遗传与进化(王国栋) |
| 推荐引用方式 GB/T 7714 | Wang, Xinchao,Feng, Hu,Chang, Yuxiao,et al. Population sequencing enhances understanding of tea plant evolution[J]. NATURE COMMUNICATIONS,2020,11(1). |
| APA | Wang, Xinchao.,Feng, Hu.,Chang, Yuxiao.,Ma, Chunlei.,Wang, Liyuan.,...&Yan, Yajun.(2020).Population sequencing enhances understanding of tea plant evolution.NATURE COMMUNICATIONS,11(1). |
| MLA | Wang, Xinchao,et al."Population sequencing enhances understanding of tea plant evolution".NATURE COMMUNICATIONS 11.1(2020). |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 2021110303.pdf(2330KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 请求全文 | |
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