Construction of a high-density genetic map based on large-scale marker development in Coix lacryma-jobi L. using specific-locus amplified fragment sequencing (slaf-seq)

文献类型： 外文期刊

第一作者： Yang, Chenglong

作者： Yang, Chenglong;Ban, Xiuwen;Zhou, Mingqiang;Zhou, Yu;Luo, Kai;Yang, Xiaoyu;Li, Zhifang;Liu, Fanzhi;Li, Qing;Luo, Yahong;Zhou, Xiang;Lei, Jing;Long, Peilin;Yang, Chenglong;Ban, Xiuwen;Zhou, Mingqiang;Zhou, Yu;Luo, Kai;Yang, Xiaoyu;Li, Zhifang;Liu, Fanzhi;Li, Qing;Luo, Yahong;Zhou, Xiang;Lei, Jing;Long, Peilin;Wang, Jian;Guo, Jianchun;Guo, Jianchun

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关键词： Coix lacryma-jobi L.; SLAF-seq; High-density genetic map; SNPs; Linkage group

期刊名称：SCIENTIFIC REPORTS （ 影响因子：3.8； 五年影响因子：4.3 ）

ISSN： 2045-2322

年卷期： 2024 年 14 卷 1 期

页码：

收录情况： SCI

摘要： Coix lacryma-jobi L. is one of the most economically and medicinally important corns. This study constructed a high-density genetic linkage map of C. lacryma-jobi based on a cross between the parents 'Qianyi No. 2' x 'Wenyi No. 2' and their F-2 progeny through high-throughput sequencing and the construction of a specific-locus amplified fragment (SLAF) library. After pre-processing, 325.49 GB of raw data containing 1628 M reads were obtained. A total of 22,944 high-quality SLAFs were identified, among which 3952 SLAFs and 3646 polymorphic markers met the requirements for the construction of a genetic linkage map. The integrated map contained 3605 high-quality SLAFs, which were grouped into ten genetic linkage groups. The total length of the map was 1620.39 cM, with an average distance of 0.45 cM and an average of 360.5 markers per linkage group. This report presents the first high-density genetic map of C. lacryma-jobi. This map was constructed using an F-2 population and SLAF-seq approach, which allows the development of a large number of polymorphic markers in a short period. These results provide a platform for precise gene/quantitative trait locus (QTL) mapping, map-based gene separation, and molecular breeding in C. lacryma-jobi. They also help identify a target gene for tracking, splitting quantitative traits, and estimating the phenotypic effects of each QTL for QTL mapping. They are of great significance for improving the efficiency of discovering and utilizing excellent gene resources of C. lacryma-jobi.

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