Comparative genome and transcriptome analysis unravels key factors of nitrogen use efficiency in Brassica napus L

被引:59
作者
Li, Quan [1 ,2 ]
Ding, Guangda [1 ,2 ]
Yang, Ningmei [1 ,2 ]
White, Philip John [1 ,3 ]
Ye, Xiangsheng [2 ]
Cai, Hongmei [2 ]
Lu, Jianwei [2 ]
Shi, Lei [1 ,2 ]
Xu, Fangsen [16 ,1 ,2 ]
机构
[1] Huazhong Agr Univ, Natl Key Lab Crop Genet Improvement, Wuhan 430070, Peoples R China
[2] Huazhong Agr Univ, Microelement Res Ctr,Minist Agr & Rural Affairs, Key Lab Arable Land Conservat, Middle & Lower Reaches Yangtze River, Wuhan 430070, Peoples R China
[3] James Hutton Inst, Dundee, Scotland
关键词
Brassica napus; C; N balance; nitrate transporter; nitrogen metabolism; nitrogen use efficiency; transcriptional profiling; whole-genome re-sequencing; NITRATE TRANSPORTER; GLUTAMINE-SYNTHETASE; AMINO-ACID; YIELD; IDENTIFICATION; ACQUISITION; ARABIDOPSIS; EVOLUTION; FAMILY; ROOTS;
D O I
10.1111/pce.13689
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Considerable genetic variation in agronomic nitrogen (N) use efficiency (NUE) has been reported among genotypes of Brassica napus. However, the physiological and molecular mechanisms underpinning these differences remain poorly understood. In this study, physiological and genetic factors impacting NUE were identified in field trials and hydroponic experiments using two B. napus genotypes with contrasting NUE. The results showed that the N-efficient genotype (D4-15) had greater N uptake and utilization efficiencies, more root tips, larger root surface and root volume, and higher N assimilation and photosynthesis capacity than the N-inefficient genotype (D2-1). Genomic analysis revealed that D4-15 had a greater genome diversity related to NUE than D2-1. By combining genomic and transcriptomic analysis, genes involved in photosynthesis and C/N metabolism were implicated in conferring NUE. Co-expression network analysis of genes that differed between the two genotypes suggested gene clusters impacting NUE. A nitrate transporter gene BnaA06g04560D (NRT2.1) and two vacuole nitrate transporter CLC genes (BnaA02g11800D and BnaA02g28670D) were up-regulated by N starvation in D4-15 but not in D2-1. The study revealed that high N uptake and utilization efficiencies, maintained photosynthesis and coordinated C/N metabolism confer high NUE in B. napus, and identified candidate genes that could facilitate breeding for enhanced NUE in B. napus.
引用
收藏
页码:712 / 731
页数:20
相关论文
共 73 条
[1]   CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing [J].
Abyzov, Alexej ;
Urban, Alexander E. ;
Snyder, Michael ;
Gerstein, Mark .
GENOME RESEARCH, 2011, 21 (06) :974-984
[2]   Polyploidy and interspecific hybridization: partners for adaptation, speciation and evolution in plants [J].
Alix, Karine ;
Gerard, Pierre R. ;
Schwarzacher, Trude ;
Heslop-Harrison, J. S. .
ANNALS OF BOTANY, 2017, 120 (02) :183-194
[3]  
[Anonymous], 2012, R LANG ENV STAT COMP
[4]   Anion Channels/Transporters in Plants: From Molecular Bases to Regulatory Networks [J].
Barbier-Brygoo, Helene ;
De Angeli, Alexis ;
Filleur, Sophie ;
Frachisse, Jean-Marie ;
Gambale, Franco ;
Thomine, Sebastien ;
Wege, Stefanie .
ANNUAL REVIEW OF PLANT BIOLOGY, VOL 62, 2011, 62 :25-51
[5]   Nitrogen use efficiency in rapeseed. A review [J].
Bouchet, Anne-Sophie ;
Laperche, Anne ;
Bissuel-Belaygue, Christine ;
Snowdon, Rod ;
Nesi, Nathalie ;
Stahl, Andreas .
AGRONOMY FOR SUSTAINABLE DEVELOPMENT, 2016, 36 (02)
[6]  
BRADFORD MM, 1976, ANAL BIOCHEM, V72, P248, DOI 10.1016/0003-2697(76)90527-3
[7]   Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome [J].
Chalhoub, Boulos ;
Denoeud, France ;
Liu, Shengyi ;
Parkin, Isobel A. P. ;
Tang, Haibao ;
Wang, Xiyin ;
Chiquet, Julien ;
Belcram, Harry ;
Tong, Chaobo ;
Samans, Birgit ;
Correa, Margot ;
Da Silva, Corinne ;
Just, Jeremy ;
Falentin, Cyril ;
Koh, Chu Shin ;
Le Clainche, Isabelle ;
Bernard, Maria ;
Bento, Pascal ;
Noel, Benjamin ;
Labadie, Karine ;
Alberti, Adriana ;
Charles, Mathieu ;
Arnaud, Dominique ;
Guo, Hui ;
Daviaud, Christian ;
Alamery, Salman ;
Jabbari, Kamel ;
Zhao, Meixia ;
Edger, Patrick P. ;
Chelaifa, Houda ;
Tack, David ;
Lassalle, Gilles ;
Mestiri, Imen ;
Schnel, Nicolas ;
Le Paslier, Marie-Christine ;
Fan, Guangyi ;
Renault, Victor ;
Bayer, Philippe E. ;
Golicz, Agnieszka A. ;
Manoli, Sahana ;
Lee, Tae-Ho ;
Vinh Ha Dinh Thi ;
Chalabi, Smahane ;
Hu, Qiong ;
Fan, Chuchuan ;
Tollenaere, Reece ;
Lu, Yunhai ;
Battail, Christophe ;
Shen, Jinxiong ;
Sidebottom, Christine H. D. .
SCIENCE, 2014, 345 (6199) :950-953
[8]  
Chen K, 2009, NAT METHODS, V6, P677, DOI [10.1038/NMETH.1363, 10.1038/nmeth.1363]
[9]   GATK hard filtering: tunable parameters to improve variant calling for next generation sequencing targeted gene panel data [J].
De Summa, Simona ;
Malerba, Giovanni ;
Pinto, Rosamaria ;
Mori, Antonio ;
Mijatovic, Vladan ;
Tommasi, Stefania .
BMC BIOINFORMATICS, 2017, 18
[10]   Using GOstats to test gene lists for GO term association [J].
Falcon, S. ;
Gentleman, R. .
BIOINFORMATICS, 2007, 23 (02) :257-258