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Population sequencing enhances understanding of tea plant evolution

Authors :
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
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.1bb1bbf0c8a044588725f35cb1a04b29
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-020-18228-8