Literature DB >> 36243857

Mapping of Candidate Genes in Response to Low Nitrogen in Rice Seedlings.

Jia Li1, Wei Xin1, Weiping Wang1, Shijiao Zhao1, Lu Xu1, Xingdong Jiang1, Yuxuan Duan1, Hongliang Zheng1, Luomiao Yang1, Hualong Liu1, Yan Jia1, Detang Zou2, Jingguo Wang3.   

Abstract

Nitrogen is not only a macronutrient essential for crop growth and development, but also one of the most critical nutrients in farmland ecosystem. Insufficient nitrogen supply will lead to crop yield reduction, while excessive application of nitrogen fertilizer will cause agricultural and eco-environment damage. Therefore, mining low-nitrogen tolerant rice genes and improving nitrogen use efficiency are of great significance to the sustainable development of agriculture. This study was conducted by Genome-wide association study on a basis of two root morphological traits (root length and root diameter) and 788,396 SNPs of a natural population of 295 rice varieties. The transcriptome of low-nitrogen tolerant variety (Longjing 31) and low-nitrogen sensitive variety (Songjing 10) were sequenced between low and high nitrogen treatments. A total of 35 QTLs containing 493 genes were mapped. 3085 differential expressed genes were identified. Among these 493 genes, 174 genes showed different haplotype patterns. There were significant phenotype differences among different haplotypes of 58 genes with haplotype differences. These 58 genes were hypothesized as candidate genes for low nitrogen tolerance related to root morphology. Finally, six genes (Os07g0471300, Os11g0230400, Os11g0229300, Os11g0229400, Os11g0618300 and Os11g0229333) which expressed differentially in Longjing 31 were defined as more valuable candidate genes for low-nitrogen tolerance. The results revealed the response characteristics of rice to low-nitrogen, and provided insights into regulatory mechanisms of rice to nitrogen deficiency.
© 2022. The Author(s).

Entities:  

Keywords:  Genome-wide association study; Low-nitrogen tolerance; RNA-seq; Rice

Year:  2022        PMID: 36243857     DOI: 10.1186/s12284-022-00597-x

Source DB:  PubMed          Journal:  Rice (N Y)        ISSN: 1939-8425            Impact factor:   5.638


  37 in total

1.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

2.  Natural variation at the DEP1 locus enhances grain yield in rice.

Authors:  Xianzhong Huang; Qian Qian; Zhengbin Liu; Hongying Sun; Shuyuan He; Da Luo; Guangmin Xia; Chengcai Chu; Jiayang Li; Xiangdong Fu
Journal:  Nat Genet       Date:  2009-03-22       Impact factor: 38.330

3.  Spatial expression and regulation of rice high-affinity nitrate transporters by nitrogen and carbon status.

Authors:  Huimin Feng; Ming Yan; Xiaorong Fan; Baozhen Li; Qirong Shen; Anthony J Miller; Guohua Xu
Journal:  J Exp Bot       Date:  2011-01-10       Impact factor: 6.992

4.  Regulation of OsGRF4 by OsmiR396 controls grain size and yield in rice.

Authors:  Penggen Duan; Shen Ni; Junmin Wang; Baolan Zhang; Ran Xu; Yuexing Wang; Hongqi Chen; Xudong Zhu; Yunhai Li
Journal:  Nat Plants       Date:  2015-12-21       Impact factor: 15.793

5.  Transcriptome and GWAS analyses reveal candidate gene for seminal root length of maize seedlings under drought stress.

Authors:  Jian Guo; Chunhui Li; Xiaoqiong Zhang; Yongxiang Li; Dengfeng Zhang; Yunsu Shi; Yanchun Song; Yu Li; Deguang Yang; Tianyu Wang
Journal:  Plant Sci       Date:  2019-12-23       Impact factor: 4.729

6.  Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism.

Authors:  Wei Chen; Yanqiang Gao; Weibo Xie; Liang Gong; Kai Lu; Wensheng Wang; Yang Li; Xianqing Liu; Hongyan Zhang; Huaxia Dong; Wan Zhang; Lejing Zhang; Sibin Yu; Gongwei Wang; Xingming Lian; Jie Luo
Journal:  Nat Genet       Date:  2014-06-08       Impact factor: 38.330

7.  Molecular and physiological analysis of drought stress in Arabidopsis reveals early responses leading to acclimation in plant growth.

Authors:  Amal Harb; Arjun Krishnan; Madana M R Ambavaram; Andy Pereira
Journal:  Plant Physiol       Date:  2010-08-31       Impact factor: 8.340

8.  Over-expression of OsPTR6 in rice increased plant growth at different nitrogen supplies but decreased nitrogen use efficiency at high ammonium supply.

Authors:  Xiaorong Fan; Dan Xie; Jingguang Chen; Haiyan Lu; Yanling Xu; Cui Ma; Guohua Xu
Journal:  Plant Sci       Date:  2014-06-08       Impact factor: 4.729

9.  Second-generation PLINK: rising to the challenge of larger and richer datasets.

Authors:  Christopher C Chang; Carson C Chow; Laurent Cam Tellier; Shashaank Vattikuti; Shaun M Purcell; James J Lee
Journal:  Gigascience       Date:  2015-02-25       Impact factor: 6.524

10.  A putative 6-transmembrane nitrate transporter OsNRT1.1b plays a key role in rice under low nitrogen.

Authors:  Xiaorong Fan; Huimin Feng; Yawen Tan; Yanling Xu; Qisong Miao; Guohua Xu
Journal:  J Integr Plant Biol       Date:  2015-09-18       Impact factor: 7.061

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.