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QTL mapping for branch-and leaf-related traits with a high-density SNP genetic map in litchi (Litchi chinensis Sonn.)

文献类型: 外文期刊

作者: Hu, Wei 1 ; Li, Fang 2 ; Li, Huanling 2 ; Zhang, Lei 1 ; Cai, Rupeng 2 ; Lin, Qiying 2 ; Li, Yao 1 ; Qin, Xiaoyun 2 ; Wang, Jiabao 1 ;

作者机构: 1.Chinese Acad Trop Agr Sci, Trop Crops Genet Resources Inst, Haikou 571101, Hainan, Peoples R China

2.Chinese Acad Trop Agr Sci, Inst Environm & Plant Protect, Haikou 571101, Hainan, Peoples R China

关键词: Litchi; Branch-and leaf-related traits; High-density genetic map; Pleiotropic QTLs

期刊名称:HORTICULTURAL PLANT JOURNAL ( 影响因子:6.2; 五年影响因子:6.1 )

ISSN: 2095-9885

年卷期: 2025 年 11 卷 4 期

页码:

收录情况: SCI

摘要: Litchi (Litchi chinensis Sonn.), an important fruit tree in tropical and subtropical regions, possesses substantial economic value. The branch-and leaf-related traits of litchi have a significant impact on litchi yield and quality. However, due to limitations such as the density of the genetic linkage map, there have been few studies on mapping QTLs of branch-and leaf-related traits. In this study, a high-density genetic map was constructed by next-generation sequencing (NGS) using an F1 population of 264 progenies, derived from the cross between the cultivars 'Sanyuehong' and 'Ziniangxi'. A total of 2574 high-quality BINs (binomial intervals) were obtained, and a genetic linkage map was constructed with a total length of 1753.3 cM and an average marker distance of 0.68 cM. With the genetic map and the phenotyping of single leaf length (SLL), single leaf width (SLW), leaf shape index (LSI), weight of specific leaf (WSL), petiole length (PL) and compound leaf length (CLL) measured in three seasons, 11, 9, 9, 10, 9 and 12 QTLs were detected for SLL, SLW, WSL, LSI, PL and CLL traits, respectively. Among these QTLs, five QTLs were consistently detected in two seasons and 12 pleiotropic QTLs were identified for at least two traits. These findings will provide new insights for the gene cloning for branch-and leaf-related traits as well as marker-assisted selection (MAS).

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