文献类型： 外文期刊

作者： Liu, Zhongjie ¹ ; Wang, Nan ¹ ; Su, Ying ¹ ; Long, Qiming ¹ ; Peng, Yanling ¹ ; Shangguan, Lingfei ² ; Zhang, Fan ¹ ; Cao, Shuo ¹ ; Wang, Xu ¹ ; Ge, Mengqing ² ; Xue, Hui ¹ ; Ma, Zhiyao ¹ ; Liu, Wenwen ¹ ; Xu, Xiaodong ¹ ; Li, Chaochao ¹ ; Cao, Xuejing ¹ ; Ahmad, Bilal ¹ ; Su, Xiangnian ¹ ; Liu, Yuting ¹ ; Huang, Guizhou ¹ ; Du, Mengrui ¹ ; Liu, Zhenya ¹ ; Gan, Yu ¹ ; Sun, Lei ⁴ ; Fan, Xiucai ⁴ ; Zhang, Chuan ⁵ ; Zhong, Haixia ⁵ ; Leng, Xiangpeng ⁶ ; Ren, Yanhua ² ; Dong, Tianyu ² ; Pei, Dan ² ; Wu, Xinyu ⁵ ; Jin, Zhongxin ¹ ; Wang, Yiwen ¹ ; Liu, Chonghuai ⁴ ; Chen, Jinfeng ⁷ ; Gaut, Brandon ⁸ ; Huang, Sanwen ¹ ; Fang, Jinggui ² ; Xiao, Hua ¹ ; Zhou, Yongfeng ¹ ;

作者机构： 1.Chinese Acad Agr Sci, Agr Genom Inst Shenzhen,Minist Agr & Rural Affairs, Shenzhen Branch,Key Lab Synthet Biol, Guangdong Lab Lingnan Modern Agr,Natl Key Lab Trop, Shenzhen, Peoples R China

2.Nanjing Agr Univ, Coll Hort, Nanjing, Peoples R China

3.Chinese Acad Trop Agr Sci, Trop Crops Genet Resources Inst, Natl Key Lab Trop Crop Breeding, Haikou, Peoples R China

4.Chinese Acad Agr Sci, Zhengzhou Fruit Res Inst, Zhengzhou, Peoples R China

5.Xinjiang Acad Agr Sci, Inst Hort Crops, Urumqi, Peoples R China

6.Qingdao Agr Univ, Coll Hort, Qingdao, Peoples R China

7.Chinese Acad Sci, Inst Zool, State Key Lab Integrated Management Pest Insects &, Beijing, Peoples R China

8.Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA USA

期刊名称：NATURE GENETICS （ 影响因子：29.0； 五年影响因子：37.4 ）

ISSN： 1061-4036

年卷期： 2024 年 56 卷 12 期

页码：

收录情况： SCI

摘要： Grapevine breeding is hindered by a limited understanding of the genetic basis of complex agronomic traits. This study constructs a graph-based pangenome reference (Grapepan v.1.0) from 18 newly generated phased telomere-to-telomere assemblies and 11 published assemblies. Using Grapepan v.1.0, we build a variation map with 9,105,787 short variations and 236,449 structural variations (SVs) from the resequencing data of 466 grapevine cultivars. Integrating SVs into a genome-wide association study, we map 148 quantitative trait loci for 29 agronomic traits (50.7% newly identified), with 12 traits significantly contributed by SVs. The estimated heritability improves by 22.78% on average when including SVs. We discovered quantitative trait locus regions under divergent artificial selection in metabolism and berry development between wine and table grapes, respectively. Moreover, significant genetic correlations were detected among the 29 traits. Under a polygenic model, we conducted genomic predictions for each trait. In general, our study facilitates the breeding of superior cultivars via the genomic selection of multiple traits.