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Population sequencing enhances understanding of tea plant evolution

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 access...

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Autores principales: 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, Yang, Yajun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477583/
https://www.ncbi.nlm.nih.gov/pubmed/32895382
http://dx.doi.org/10.1038/s41467-020-18228-8
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author 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
Yang, Yajun
author_facet 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
Yang, Yajun
author_sort Wang, Xinchao
collection PubMed
description 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.
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spelling pubmed-74775832020-09-21 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 Yang, Yajun Nat Commun Article 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. Nature Publishing Group UK 2020-09-07 /pmc/articles/PMC7477583/ /pubmed/32895382 http://dx.doi.org/10.1038/s41467-020-18228-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
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
Yang, Yajun
Population sequencing enhances understanding of tea plant evolution
title Population sequencing enhances understanding of tea plant evolution
title_full Population sequencing enhances understanding of tea plant evolution
title_fullStr Population sequencing enhances understanding of tea plant evolution
title_full_unstemmed Population sequencing enhances understanding of tea plant evolution
title_short Population sequencing enhances understanding of tea plant evolution
title_sort population sequencing enhances understanding of tea plant evolution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477583/
https://www.ncbi.nlm.nih.gov/pubmed/32895382
http://dx.doi.org/10.1038/s41467-020-18228-8
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