Characterizing Variation of Branch Angle and Genome-Wide Association Mapping in Rapeseed (Brassica napus L.)

文献类型： 外文期刊

第一作者： Liu, Jia

作者： Liu, Jia;Wang, Wenxiang;Mei, Desheng;Wang, Hui;Fu, Li;Li, Yunchang;Hui, Qiong;Liu, Daoming

作者机构：

关键词： Brassica napus L.;branch angle;genetic variation;association mapping;multiple environments;candidate genes

期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.753； 五年影响因子：6.612 ）

ISSN： 1664-462X

年卷期： 2016 年 7 卷

页码：

收录情况： SCI

摘要： Changes in the rapeseed branch angle alter plant architecture, allowing more efficient light capture as planting density increases. In this study, a natural population of rapeseed was grown in three environments and evaluated for branch angle trait to characterize their phenotypic patterns and genotype with a 60K Brassica Infinium SNP array. Significant phenotypic variation was observed from 20 to 70. As a result, 25 significant quantitative trait loci (QTL) associated with branch angle were identified on chromosomes A2, A3, A7, C3, C5, and C7 by the MLM model in TASSEL 4.0. Orthologs of the functional candidate genes involved in branch angle were identified. Among the key QTL, the peak SNPs were close to the key orthologous genes BnaA.Lazy1 and BnaC.Lazy1 on A3 and C3 homologous genome blocks. With the exception of Lazy (LA) orthologous genes, SQUMOSA PROMOTER BINDING PROTEIN LIKE 14 (SPL14) and an auxin -responsive GRETCHEN HAGEN 3 (GH3) genes from Arabidopsis thaliana were identified close to two clusters of SNPs on the A7 and C7 chromosomes. These findings on multiple novel loci and candidate genes of branch angle will be useful for further understanding and genetic improvement of plant architecture in rapeseed.

分类号：

  • 相关文献

[1]Genome-Wide Association Mapping Reveals the Genetic Control Underlying Branch Angle in Rapeseed (Brassica napus L.). Li, Hongge,Zhang, Liping,Hu, Jihong,Zhang, Fugui,Chen, Biyun,Xu, Kun,Gao, Guizhen,Li, Hao,Zhang, Tianyao,Wu, Xiaoming,Li, Hongge,Li, Zaiyun. 2017

[2]Evaluation of yield and agronomic traits and their genetic variation in 488 global collections of Brassica napus L.. Chen, Biyun,Xu, Kun,Li, Jun,Li, Feng,Qiao, Jiangwei,Li, Hao,Gao, Guizhen,Yan, Guixin,Wu, Xiaoming.

[3]Identification of stable quantitative trait loci (QTLs) for fiber quality traits across multiple environments in Gossypium hirsutum recombinant inbred line population. Muhammad Jamshed,Fei Jia,Juwu Gong,;Koffi Kibalou Palanga,Yuzhen Shi,Junwen Li,Haihong Shang,Aiying Liu,Tingting Chen,Zhen Zhang,Juan Cai,Qun Ge,Zhi Liu,Quanwei Lu,Xiaoying Deng,Yunna Tan,Harun or Rashid,Zareen Sarfraz,Murtaza Hassan,Wankui Gong,Youlu Yuan. 2016

[4]Identification of QTLs for seed and pod traits in soybean and analysis for additive effects and epistatic effects of QTLs among multiple environments. Yang, Zhe,Xin, Dawei,Sun, Yanan,Qi, Zhaoming,Chen, Qingshan,Yang, Zhe,Jiang, Hongwei,Han, Xue,Yang, Zhe,Liu, Chunyan,Hu, Guohua.

[5]Integrative RNA-and miRNA-Profile Analysis Reveals a Likely Role of BR and Auxin Signaling in Branch Angle Regulation of B. napus. Cheng, Hongtao,Hao, Mengyu,Wang, Wenxiang,Mei, Desheng,Liu, Jia,Wang, Hui,Sang, Shifei,Tang, Min,Zhou, Rijin,Chu, Wen,Fu, Li,Hu, Qiong,Wells, Rachel. 2017

[6]QTL Mapping by Whole Genome Re-sequencing and Analysis of Candidate Genes for Nitrogen Use Efficiency in Rice. Xia, Xiuzhong,Zhang, Zongqiong,Nong, Baoxuan,Zeng, Yu,Deng, Guofu,Li, Danting,Xiong, Faqian,Wu, Yanyan,Gao, Ju. 2017

[7]Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus. Wang, Xiaodong,Chen, Li,Chao, Hongbo,Li, Maoteng,Wang, Xiaodong,Chen, Li,Xiang, Jun,Gan, Jianping,Wang, Aina,Wang, Hao,Tian, Jianhua,Zhao, Xiaoping,Zhao, Yajun,Zhao, Weiguo. 2016

[8]Genome-Wide Association and Transcriptome Analyses Reveal Candidate Genes Underlying Yield-determining Traits in Brassica napus. Lu, Kun,Peng, Liu,Zhang, Chao,Lu, Junhua,Yang, Bo,Xiao, Zhongchun,Liang, Ying,Xu, Xingfu,Qu, Cunmin,Zhang, Kai,Liu, Liezhao,Li, Jiana,Peng, Liu,Zhang, Chao,Zhu, Qinlong,Fu, Minglian,Yuan, Xiaoyan. 2017

[9]Fine mapping and identification of candidate genes for a QTL affecting Meloidogyne incognita reproduction in Upland cotton. Kumar, Pawan,He, Yajun,Singh, Rippy,Shen, Xinlian,Chee, Peng W.,Davis, Richard F.,Guo, Hui,Paterson, Andrew H.,Peterson, Daniel G.,Nichols, Robert L.,Shen, Xinlian,He, Yajun. 2016

[10]Transcriptome analysis of genes involved in anthocyanins biosynthesis and transport in berries of black and white spine grapes (Vitis davidii). Sun, Lei,Fan, Xiucai,Zhang, Ying,Jiang, Jianfu,Sun, Haisheng,Liu, Chonghuai. 2016

[11]Loci and candidate genes conferring resistance to soybean cyst nematode HG type 2.5.7. Zhao, Xue,Teng, Weili,Cao, Guanglu,Li, Dongmei,Han, Yingpeng,Li, Wenbin,Li, Yinghui,Qiu, Lijuan,Li, Dongmei,Zheng, Hongkun. 2017

[12]High-resolution mapping and characterization of qRgls2, a major quantitative trait locus involved in maize resistance to gray leaf spot. Xu, Ling,Zhang, Yan,Zhu, Mang,Zhong, Tao,Xu, Mingliang,Shao, Siquan,Chen, Wei,Tan, Jing,Fan, Xingming. 2014

[13]QTL Mapping by SLAF-seq and Expression Analysis of Candidate Genes for Aphid Resistance in Cucumber. Liang, Danna,Chen, Minyang,Qi, Xiaohua,Xu, Qiang,Zhou, Fucai,Chen, Xuehao,Liang, Danna. 2016

[14]Identification of loci and genes for growth related traits from a genome-wide association study in a slow- x fast-growing broiler chicken cross. Liu, Ranran,Sun, Yanfa,Zhao, Guiping,Wang, Hongyang,Zheng, Maiqing,Li, Peng,Liu, Li,Wen, Jie,Sun, Yanfa,Liu, Ranran,Zhao, Guiping,Wang, Hongyang,Zheng, Maiqing,Wen, Jie.

[15]A dense SNP genetic map constructed using restriction site-associated DNA sequencing enables detection of QTLs controlling apple fruit quality. Sun, Rui,Chang, Yuansheng,Wang, Yi,Li, Hui,Wu, Ting,Zhang, Xinzhong,Han, Zhenhai,Yang, Fengqiu,Zhao, Yongbo,Chen, Dongmei. 2015

[16]Genome-Wide Identification of QTL for Seed Yield and Yield-Related Traits and Construction of a High-Density Consensus Map for QTL Comparison in Brassica napus. Zhao, Weiguo,Wang, Hao,Tian, Jianhua,Li, Baojun,Zhao, Weiguo,Wang, Hao,Chen, Li,Chao, Hongbo,Li, Maoteng,Wang, Xiaodong,Long, Yan,Xiang, Jun,Gan, Jianping,Li, Maoteng,Liang, Wusheng. 2016

[17]Genome-Wide Linkage Analysis and Association Study Identifies Loci for Polydactyly in Chickens. Sun, Yanfa,Liu, Ranran,Zhao, Guiping,Zheng, Maiqing,Sun, Yan,Yu, Xiaoqiong,Li, Peng,Wen, Jie,Sun, Yanfa,Liu, Ranran,Zhao, Guiping,Zheng, Maiqing,Wen, Jie,Sun, Yanfa. 2014

[18]Genome-Wide Association Study Identifying Candidate Genes Influencing Important Agronomic Traits of Flax (Linum usitatissimum L.)Using SLAF-seq. Xie, Dongwei,Dai, Zhigang,Yang, Zemao,Tang, Qing,Su, Jianguang,Xie, Dongwei,Zhao, Debao,Yang, Xue,Zhang, Liguo,Sun, Jian. 2018

[19]Genetic analysis of flag leaf size and candidate genes determination of a major QTL for flag leaf width in rice. Zhang, Bin,Ye, Weijun,Ren, Deyong,Tian, Peng,Peng, Youlin,Gao, Yang,Ruan, Banpu,Wang, Li,Zhang, Guangheng,Guo, Longbiao,Qian, Qian,Gao, Zhenyu. 2015

[20]Fine Mapping Identifies a New QTL for Brown Rice Rate in Rice (Oryza Sativa L.). Ren, Deyong,Rao, Yuchun,Huang, Lichao,Leng, Yujia,Hu, Jiang,Zhang, Guangheng,Zhu, Li,Gao, Zhenyu,Dong, Guojun,Guo, Longbiao,Qian, Qian,Zeng, Dali,Rao, Yuchun,Lu, Mei. 2016

作者其他论文 更多>>

微信小程序