Fine Mapping Identifies a New QTL for Brown Rice Rate in Rice (Oryza Sativa L.)

文献类型： 外文期刊

第一作者： Ren, Deyong

作者： 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

作者机构：

关键词： Brown rice ate;QTLs;Fine mapping;Candidate genes;Histocytological analysis

期刊名称：RICE （ 影响因子：4.783； 五年影响因子：5.23 ）

ISSN： 1939-8425

年卷期： 2016 年 9 卷

页码：

收录情况： SCI

摘要： Background: High yield and quality determine the commercial potential of rice variety. Brown rice rate (BRR) is a key factor ensuring grain yield and quality in rice. So far, there were few reports about the genes that directly controlled the BRR in rice. Therefore, dissecting the genetic mechanism of the BRR genes can facilitate improving effective rice supply or edible grain yield. Results: A double haploid population derived from the cross between Taichung Native 1 (TN1) (an indica variety) and Chunjiang 06 (CJ06) (a japonica variety) was used to investigate the genetic basis of grain milling and appearance traits affecting the BRR. By using a constructed molecular linkage map, four quantitative trait loci (QTLs) for the BRR were detected on chromosomes 1, 8, 9, and 10, respectively. In addition, three QTLs for appearance traits, including grain weight and grain length/width ratio, were detected on chromosomes 6, 9 and 10, respectively. Chromosome segment substitution lines (CSSLs) were established at the qBRR-10 locus. Finally, the qBRR-10 was narrowed to a 39.5 kb region on chromosome 10. In this region, two candidate genes, LOC_Os10g32124 and LOC_Os10g32190, showed significantly differential expression in TN1 and CSSL1-2 compared with CJ06. Histocytological analysis suggested that cell size and hull thickness may be important factors for the BRR. Conclusion: In the study, the qBRR-10 affected the BRR and was finally located to a region between two markers, P13 and P14. Two candidate genes were selected based on the expression difference between two parents, which facilitated the further cloning of the qBRR-10 gene and largely contributed to improve the grain yield and quality in rice.

分类号：

  • 相关文献

[1]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

[2]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.

[3]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.

[4]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.

[5]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

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

[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]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.

[17]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.

[18]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.

[19]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.

[20]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

作者其他论文 更多>>

微信小程序