Gene mining and genomics-assisted breeding empowered by the pangenome of tea plant Camellia sinensis

文献类型： 外文期刊

第一作者： Chen, Shuai

作者： Chen, Shuai;Wang, Pengjie;Kong, Weilong;Zhang, Shengcheng;Yu, Jiaxin;Wang, Yibin;Chen, Xiao;Gao, Yingying;Qu, Shenyang;Wang, Fang;Zhang, Qing;Zhang, Xingtan;Chai, Kun;Jiang, Mengwei;Lei, Wenlong;Wang, Wenling;Wang, Yinghao;Gu, Mengya;Sun, Weijiang;Ye, Naixing;Fang, Kaixing;Wu, Hualing;Ma, Chunlei

作者机构：

期刊名称：NATURE PLANTS （ 影响因子：18.0； 五年影响因子：18.6 ）

ISSN： 2055-026X

年卷期： 2023 年 9 卷 12 期

页码：

收录情况： SCI

摘要： Tea is one of the world's oldest crops and is cultivated to produce beverages with various flavours. Despite advances in sequencing technologies, the genetic mechanisms underlying key agronomic traits of tea remain unclear. In this study, we present a high-quality pangenome of 22 elite cultivars, representing broad genetic diversity in the species. Our analysis reveals that a recent long terminal repeat burst contributed nearly 20% of gene copies, introducing functional genetic variants that affect phenotypes such as leaf colour. Our graphical pangenome improves the efficiency of genome-wide association studies and allows the identification of key genes controlling bud flush timing. We also identified strong correlations between allelic variants and flavour-related chemistries. These findings deepen our understanding of the genetic basis of tea quality and provide valuable genomic resources to facilitate its genomics-assisted breeding.

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