Construction of an Intragenic SSR-Based Linkage Map and QTL Mapping for Agronomic Traits in Chinese Cabbage (Brassica rapa L. ssp. pekinensis)

文献类型： 外文期刊

第一作者： Gao, Hanzhong

作者： Gao, Hanzhong;Yang, Xiaogang;Wang, Hongxia;Chen, Yanan;Wang, Fengde;Zhang, Yihui;Li, Huayin;Li, Jingjuan;Gao, Jianwei;Gao, Hanzhong;Yang, Xiaogang;Qiu, Nianwei;Chen, Yanan;Wang, Fengde;Zhang, Yihui;Li, Jingjuan;Gao, Jianwei

作者机构：

关键词： Chinese cabbage; intragenic SSR; quantitative trait loci mapping; agronomic traits

期刊名称：HORTICULTURAE （ 影响因子：2.331； 五年影响因子：2.951 ）

ISSN：

年卷期： 2022 年 8 卷 2 期

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收录情况： SCI

摘要： Chinese cabbage (Brassica rapa L. ssp. pekinensis) is one of the most widely cultivated and economically important vegetables in China. Constructing an effective genetic linkage map and mapping quantitative trait loci (QTLs) related to yield and leafy head morphology is of great importance for molecular breeding of Chinese cabbage. Using two diverse Chinese cabbage inbred lines, ZHB and G291, as parents, an F-2 segregating population consisting of 240 individuals was prepared for genetic map construction and phenotype investigation in this study. The two parents are significantly different in both shape and size. Sixteen important agronomic traits of F-2 individuals were investigated. A genetic map of 105 intragenic simple sequence repeat (SSR) markers distributed across 10 linkage groups (LGs) was constructed, which was 2034.1 cM in length and had an average inter-locus distance of 21.75 cM. We identified 48 QTLs for the tested important agronomic traits on the studied LGs, with LOD scores of 2.51-12.49, which explained the phenotypic variance of 3.41-26.66%. The QTLs identified in this study will facilitate further genetic analysis and marker-assisted genetic improvement of Chinese cabbage.

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[1]Construction of an Intragenic SSR-Based Linkage Map and QTL Mapping for Agronomic Traits in Chinese Cabbage (Brassica rapa L. ssp. pekinensis). Gao, Hanzhong,Yang, Xiaogang,Wang, Hongxia,Chen, Yanan,Wang, Fengde,Zhang, Yihui,Li, Huayin,Li, Jingjuan,Gao, Jianwei,Gao, Hanzhong,Yang, Xiaogang,Qiu, Nianwei,Chen, Yanan,Wang, Fengde,Zhang, Yihui,Li, Jingjuan,Gao, Jianwei. 2022

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