Genome-Wide Association Study Reveals Candidate Genes for Control of Plant Height, Branch Initiation Height and Branch Number in Rapeseed (Brassica napus L.)

文献类型： 外文期刊

第一作者： Zheng, Ming

作者： Zheng, Ming;Liu, Hongfang;Tang, Min;Yang, Hongli;Li, Xiaokang;Liu, Jinglin;Sun, Xingchao;Wang, Xinfa;Hua, Wei;Wang, Hanzhong;Peng, Cheng;Xu, Junfeng

作者机构：

关键词： Brassica napus;plant height;branch initiation height;branch number;GWAS;QTLs

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： 2017 年 8 卷

页码：

收录情况： SCI

摘要： Plant architecture is crucial for rapeseed yield and is determined by plant height (PH), branch initiation height (BIH), branch number (BN) and leaf and inflorescence morphology. In this study, we measured three major factors (PH, BIH, and BN) in a panel of 333 rapeseed accessions across 4 years. A genome-wide association study (GWAS) was performed via Q + K model and the panel was genotyped using the 60 k Brassica Infinium SNP array. We identified seven loci for PH, four for BIH, and five for BN. Subsequently, by determining linkage disequilibrium (LD) decay associated with 38 significant SNPs, we gained 31, 15, and 17 candidate genes for these traits, respectively. We also showed that PH is significantly correlated with BIH, while no other correlation was revealed. Notably, a GA signaling gene (BnRGA) and a flowering gene (BnFT) located on chromosome A02 were identified as the most likely candidate genes associated with PH regulation. Furthermore, a meristem initiation gene (BnLOF2) and a NAC domain transcriptional factor (BnCUC3) that may be associated with BN were identified on the chromosome A07. This study reveals novel insight into the genetic control of plant architecture and may facilitate marker-based breeding for rapeseed.

分类号：

  • 相关文献

[1]Joint-linkage mapping and GWAS reveal extensive genetic loci that regulate male inflorescence size in maize. Wu, Xun,Li, Yongxiang,Shi, Yunsu,Song, Yanchun,Zhang, Dengfeng,Li, Chunhui,Li, Yu,Wang, Tianyu,Buckler, Edward S.,Buckler, Edward S.,Zhang, Zhiwu,Wu, Xun,Zhang, Zhiwu.

[2]Identification of QTLs for plant height, ear height and grain yield in maize (Zea mays L.) in response to nitrogen and phosphorus supply. Cai, Hongguang,Chu, Qun,Gu, Riliang,Yuan, Lixing,Liu, Jianchao,Chen, Fanjun,Mi, Guohua,Zhang, Fusuo,Cai, Hongguang,Zhang, Xiuzhi.

[3]Identification of stable QTLs for seed oil content by combined linkage and association mapping in Brassica napus. Sun, Fengming,Liu, Jing,Hua, Wei,Sun, Xingchao,Wang, Xinfa,Wang, Hanzhong.

[4]A genome-wide association study of plant height and primary branch number in rapeseed (Brassica napus). Li, Feng,Chen, Biyun,Xu, Kun,Gao, Guizhen,Yan, Guixin,Qiao, Jiangwei,Li, Jun,Li, Hao,Li, Lixia,Xiao, Xin,Zhang, Tianyao,Wu, Xiaoming,Li, Feng,Nishio, Takeshi.

[5]QTL effects and epistatic interaction for flowering time and branch number in a soybean mapping population of JapanesexChinese cultivars. Yang Guang,Xie Fu-ti,Zhai Hong,Wu Hong-yan,Zhang Xing-zheng,Wang Ya-ying,Li Yu-qiu,Hu Bo,Wang Lu,Xia Zheng-jun,Zhang Xing-zheng,Wang Ya-ying,Li Yu-qiu,Wang Lu,Yang Guang,Lu Shi-xiang,Wen Zi-xiang,Wang De-chun,Wang Shao-dong,Harada, Kyuya. 2017

[6]Sexual differences in morphology and aboveground biomass allocation in relation to branch number in Morus alba saplings. Wang, Bixia,Xu, Xiao,He, Xinhua,Liu, Gang,Xu, Xiao.

[7]Dynamic QTL and epistasis analysis on seedling root traits in upland cotton. Liang, Qingzhi,Li, Pengbo,Hu, Cheng,Hua, Hua,Li, Zhaohu,Hua, Jinping,Rong, Yihua,Wang, Kunbo.

[8]Identification of stable QTLs controlling fiber traits properties in multi-environment using recombinant inbred lines in Upland cotton (Gossypium hirsutum L.). Shang, Lianguang,Liang, Qingzhi,Wang, Xiaocui,Abduweli, Abdugheni,Ma, Lingling,Cai, Shihu,Hua, Jinping,Wang, Yumei,Wang, Kunbo.

[9]Association mapping analysis of fiber yield and quality traits in Upland cotton (Gossypium hirsutum L.). Mulugeta Seyoum Ademe,Du, Xiongming,Jia, Yinhua,Shoupu He,Zhaoe Pan,Junling Sun,Qinglian Wang,Hongde Qin,Jinhai Liu,Hui Liu,Jun Yang,Dongyong Xu,Jinlong Yang,Zhiying Ma,Jinbiao Zhang,Zhikun Li,Zhongmin Cai,Xuelin Zhang,Xin Zhang,Aifen Huang,Xianda Yi,Guanyin Zhou,Lin Li,Haiyong Zhu,Baoyin Pang,Liru Wang,Yinhua Jia,Xiongming Du.

[10]Molecular dissection of the primary sink size and its related traits in rice. Xu, JL,Yu, SB,Luo, LJ,Zhong, DB,Mei, HW,Li, ZK. 2004

[11]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

[12]Quantitative trait loci for leaf chlorophyll fluorescence traits in wheat. Zhang, Zheng-Bin,Xu, Ping,Jia, Ji-Zeng,Zhou, Rong-Hua. 2010

[13]Genome-wide introgression lines and their use in genetic and molecular dissection of complex phenotypes in rice (Oryza sativa L.). Li, ZK,Fu, BY,Gao, YM,Xu, JL,Ali, J,Lafitte, HR,Jiang, YZ,Rey, JD,Vijayakumar, CHM,Maghirang, R,Zheng, TQ,Zhu, LH.

[14]Identification of quantitative trait loci associated with soybean seed protein content using two populations derived from crosses between Glycine max and Glycine soja. Yan, Long,Xing, Li-Li,Chang, Ru-Zhen,Qiu, Li-Juan,Yan, Long,Yang, Chun-Yan,Zhang, Meng-Chen.

[15]Genome-wide assessment of population structure, linkage disequilibrium and resistant QTLs in Chinese wild grapevine. Zhang, Ying,Fan, Xiucai,Jiang, Jianfu,Sun, Haisheng,Liu, Chonghuai,Feng, Li,Zheng, Xian-bo.

[16]Quantitative trait loci for the number of vertebrae on Sus scrofa chromosomes 1 and 7 independently influence the numbers of thoracic and lumbar vertebrae in pigs. Zhang Long-chao,Liu Xin,Liang Jing,Yan Hua,Zhao Ke-bin,Li Na,Pu Lei,Shi Hui-bi,Zhang Yue-bo,Wang Li-gang,Wang Li-xian. 2015

[17]High-density genetic map construction and QTLs analysis of grain yield-related traits in Sesame (Sesamum indicum L.) based on RAD-Seq techonology. Wu, Kun,Liu, Hongyan,Yang, Minmin,Wu, Wenxiong,Zuo, Yang,Zhao, Yingzhong,Tao, Ye,Ma, Huihui. 2014

[18]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

[19]Molecular mapping of quantitative trait loci for zinc toxicity tolerance in rice seedling (Oryza sativa L.). Dong, YJ,Ogawa, T,Lin, DZ,Koh, HJ,Kamiunten, H,Matsuo, M,Cheng, SH. 2006

[20]Detection of QTLs controlling fast kernel dehydration in maize (Zea mays L.). Qian, Y. L.,Guo, J.,Wang, J.,Qi, Y. C.,Li, T. C.,Zhang, W.,Ruan, L.,Zuo, X. L.,Zhang, X. Q.,Wang, L. F.,Chen, J.,Chen, B. R.,Lv, G. H.,Wu, Z. C.. 2016

作者其他论文 更多>>

微信小程序