Welcome to Acta Agronomica Sinica,

Acta Agronomica Sinica ›› 2020, Vol. 46 ›› Issue (10): 1526-1538.doi: 10.3724/SP.J.1006.2020.94197

• CROP GENETICS & BREEDING · GERMPLASM RESOURCES · MOLECULAR GENETICS • Previous Articles     Next Articles

Expression profile analysis of low nitrogen stress in Brassica napus

XIAO Yan(), YAO Jun-Yue(), LIU Dong, SONG Hai-Xing, ZHANG Zhen-Hua*()   

  1. College of Resource and Environment, Hunan Agricultural University / Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Changsha 410128, Hunan, China
  • Received:2019-12-16 Accepted:2020-04-15 Online:2020-10-12 Published:2020-05-07
  • Contact: Zhen-Hua ZHANG E-mail:xiaoxiaoY8432@163.com;yjy950606@126.com;zhzh1468@163.com
  • Supported by:
    National Key Research and Development Program of China(2017YFD0200100);National Key Research and Development Program of China(2017YFD0200103)

Abstract:

The nitrogen fertilizer was overapplied with people’s increased demand for crop yield, but the nitrogen utilization efficiency (NUE) of crops was decreasing. In this study, the differentially expressed genes (DEGs) including the nitrogen absorption, transport, distribution and transcription factors were screened under low nitrogen treatment of 0, 3, and 72 h by the physiological changes and RNA-Seq in rapeseed. The results showed that nitrogen were preferentially allocated to the shoots with the increased glutamine?synthetase (GS) and NUE activities and the decreased nitrate reductase (NR) activity and the total nitrogen concentration under low nitrogen treatment. The analysis of Gene Ontology (GO) enrichment and the Kyoto encyclopedia of genes and genomes (KEGG) metabolic pathway showed that DEGs of the shoots were mainly involved in metabolic process, protein binding, ion binding, and anion binding, while DEGs of the roots were mainly involved in molecular function, primary metabolic process, ion binding, and anion binding. The gene expression profile analysis indicated that after low nitrogen treatment for 72 h, the expression of most genes in BnaGLNs increased; the expression of BnaWRKY33s and BnaWRKY70s showed significantly decreased in roots; the expression of most genes in BnaMYB4s, BnaMYB44s, and BnaMYB51s decreased in the roots; the expression of most genes in BnaNIAs family was up-regulated in roots; and in the subfamily of BnaNRT2.1s and BnaNRT3.1s, the expression of BnaA6NRT2.1 (BnaA06g04560D), BnaA6NRT2.1 (BnaA06g04570D), BnaA2NRT3.1 (BnaA02g11760D), and BnaC2NRT3.1 (BnaC02g16150D) increased significantly in roots. At the same time, skipped exon (SE) and mutually exclusive exons (MXE) type occurred in shoots and roots in order to have a better adaptation under low nitrogen stress. In conclusion, the NUE activity was increased by regulating BnaNRTs, BnaGLNs and BnaNIAs genes, and the BnaMYBs, BnaWRKYs genes and alternative splicing favored Brassica napus to adapt the low nitrogen stress.

Key words: Brassica napus, low nitrogen stress, NO3-, alternative splicing

Fig. 1

Physiological responses to nitrogen (N) stress in oilseed rape A: the ratio of root NO3- concentration to shoot NO3- concentration; B: the total N concentration; C: the nitrogen use efficiency (NUE) value, NUE = total dry weight / total N content; D: the total biomass (per plant dry weight DW); E: the nitrate reductase (NR) activity in shoots and roots; F: glutamine synthase (GS) activity in shoots and roots. Data present means (n = 5), the error bars denote the standard error (SE) value."

Table 1

Overview of the digital gene expression (DGE) profiling sequencing data"

样本名
Sample name
下机原始reads数目
Raw reads
高质量
reads数目
Clean reads
过滤后高质量
数据碱基总数
Clean bases
测序错误率
Error rate (%)
碱基质量值达到Q20以上的碱基
Q20 (%)
碱基质量值达到
Q30以上的碱基
Q30 (%)
过滤前(后)的序列
碱基GC比例
GC content (%)
S0 596,35,738 57,043,591 8.55 0.01 97.05 92.59 47.49
R0 49,108,674.67 47,000,152 7.05 0.02 97.13 92.83 46.14
S3 58,163,928.67 55,612,390 8.34 0.02 97.15 92.79 47.61
R3 44,434,570 42,606,356 6.39 0.02 96.85 92.17 45.61
S72 55,942,618 53,982,678 8.10 0.02 96.72 91.64 47.07
R72 50,080,180 48,523,315 7.28 0.02 97.05 92.46 46.26

Fig. 2

Heatmap of Pearson correlation coefficient values in the shoots and roots of Brassica napus seedlings S0 and R0 represent the shoots and roots without low nitrogen treatment, respectively; S3 and R3 indicate the shoots and roots after 3 h under low nitrogen treatment, respectively; S72 and R72 denote the shoots and roots after 72 h under low nitrogen treatment, respectively."

Fig. 3

Differentially expressed genes (DEGs) in the shoots (S) and roots (R) of Brassica napus seedlings at 0, 3, and 72 h under low nitrogen treatment A: the venn-graph analysis of the DEGs; B: the number of the DEGs. S0 and R0 represent the shoots and roots without low nitrogen treatment, respectively; S3 and R3 indicate the shoots and roots after 3 h under low nitrogen treatment, respectively; S72 and R72 denote the shoots and roots after 72 h under low nitrogen treatment, respectively."

Fig. 4

Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the digital gene expression (DGE) in the shoots and roots of Brassica napus A: GO enrichment analysis of the differentially expressed genes in the shoots after low nitrogen treatment for 72 h; B: GO enrichment analysis of the differentially expressed genes in the roots after low nitrogen treatment for 72 h; C: KEGG enrichment analysis of the differentially expressed genes in the shoots after low nitrogen treatment for 72 h; D: KEGG enrichment analysis of the differentially expressed genes in the roots after low nitrogen treatment for 72 h."

Fig. 5

Heat maps of the digital gene expression (DGE) profiling of BnaGLNs family genes A: the total DGE profiling of BnaGLNs family genes; B: the DGE profiling of BnaGLN1.1 subfamily genes; C: the DGE profiling of BnaGLN1.2 subfamily genes; D: the DGE profiling of BnaGLN1.3 subfamily genes; E: the DGE profiling of BnaGLN1.4 subfamily genes; F: the DGE profiling of BnaGLN1.5 subfamily genes; G: the DGE profiling of BnaGLN2 subfamily genes. S0 and R0 represent the shoots and roots without low nitrogen treatment, respectively; S3 and R3 indicate the shoots and roots after 3 h of low nitrogen treatment, respectively; S72 and R72 denote the shoots and roots after 72 h of low nitrogen treatment, respectively. The DEGs (S3 vs. S0, S72 vs. S0, R3 vs. R0, and R72 vs. R0) are labelled by asterisks."

Fig. 6

Heat maps of the digital gene expression (DGE) profiling of WRKYs family genes A: the total DGE profiling of BnaWRKY family genes; B the digital gene expression profiling of BnaWRKY33subfamily genes; C the digital gene expression profiling of BnaWRKY70subfamily genes. S0 and R0 represent the shoots and roots without low nitrogen treatment, respectively; S3 and R3 indicate the shoots and roots after 3 h of low nitrogen treatment, respectively; S72 and R72 denote the shoots and roots after 72 h of low nitrogen treatment, respectively. The DEGs (S3 vs. S0, S72 vs. S0; R3 vs. R0, and R72 vs. R0) are labelled by asterisks."

Fig. 7

Heat maps of the digital gene expression (DGE) profiling of MYBs family genes A: the total DGE profiling of BnaMYBs family genes; B: the DGE profiling of BnaMYB4s; C: the DGE profiling of BnaMYB44s; D: the DGE profiling of BnaMYB51ssubfamily genes. S0 and R0 represent the shoots and roots without low nitrogen treatment, respectively; S3 and R3 indicate the shoots and roots after 3 h of low nitrogen treatment, respectively; S72 and R72 denote the shoots and roots after 72 h of low nitrogen treatment, respectively. The DEGs (S3 vs. S0, S72 vs. S0; R3 vs. R0, and R72 vs. R0) are labelled by asterisks."

Fig. 8

Heat maps of the digital gene expression (DGE) profiling of NIAs family genes A: the total DGE profiling of BnaNIAs family genes; B: the DGE profiling of BnaNIA1s; C: the DGE profiling of BnaNIA2ssubfamily genes. S0 and R0 represent the shoots and roots without low nitrogen treatment, respectively; S3 and R3 indicate the shoots and roots after 3 h of low nitrogen treatment, respectively; S72 and R72 denote the shoots and roots after 72 h of low nitrogen treatment, respectively. The DEGs (S3 vs. S0, S72 vs. S0; R3 vs. R0, and R72 vs. R0) are labelled by asterisks."

Fig. 9

Heat maps of the digital gene expression (DGE) profiling of nitrate transporter (NRT) family genes A: the total DGE profiling of BnaNRT2.1 and BnaNRT3.1family genes; B: the DGE profiling of BnaNRT2.1; C: the DGE profiling of BnaNRT3.1 subfamily genes. S0 and R0 represent the shoots and roots without low nitrogen treatment, respectively; S3 and R3 indicate the shoots and roots after 3 h of low nitrogen treatment, respectively; S72 and R72 denote the shoots and roots after 72 h of low nitrogen treatment, respectively. The DEGs (S3 vs. S0, S72 vs. S0; R3 vs. R0, and R72 vs. R0) are labelled by asterisks."

Fig. 10

Alternative splicing classification and quantitative statistics A: the type and number of alternative splicing in shoots after 3 h under low nitrogen treatment; B: the type and number of alternative splicing in shoots after 72 h under low nitrogen treatment; C: the type and number of alternative splicing in roots after 3 h under low nitrogen treatment; D: the type and number of alternative splicing in roots after 72 h under low nitrogen treatment. JC only represent that only Junction Counts are used for AS event detection, and JC + reads OnTarget represent that both Junction Counts and reads on target are used for AS event detection."

[1] Konishi M, Yanagisawa S. Emergence of a new step towards understanding the molecular mechanisms underlying nitrate- regulated gene expression. J Exp Bot, 2014,65:5589-5600.
doi: 10.1093/jxb/eru267
[2] Hermans C, Hammond J P, White P J, Verbruggen N. How do plants respond to nutrient shortage by biomass allocation? Trends Plant Sci, 2006,11:610-617.
doi: 10.1016/j.tplants.2006.10.007 pmid: 17092760
[3] 冯洋, 陈海飞, 胡孝明, 周卫, 徐芳森, 蔡红梅. 我国南方主推水稻品种氮效率筛选及评价. 植物营养与肥料学报, 2014,20:1051-1062.
doi: 10.11674/zwyf.2014.0501
Feng Y, Chen H F, Hu X M, Zhou W, Xu F S, Cai H M. Nitrogen efficiency screening of rice cultivars popularized in South China. J Plant Nutr Fert, 2014,20:1051-1062 (in Chinese with English abstract).
[4] Grant C A, Bailey L D. Fertility management in canola production. Can J Plant Sci, 1993,73:651-670.
doi: 10.4141/cjps93-087
[5] Rathke G W, Christen O, Diepenbrock W. Effects of nitrogen source and rate on productivity and quality of winter oilseed rape (Brassica napus L.) grown in different crop rotations. Field Crops Res, 2005,94:103-113.
doi: 10.1016/j.fcr.2004.11.010
[6] 荣楠, 韩永亮, 荣湘民, 宋海星, 彭建伟, 谢桂先, 张玉平, 张振华. 油菜NO3的吸收, 分配及氮利用效率对低氮胁迫的响应. 植物营养与肥料学报, 2017,23:1104-1111.
Rong N, Han Y L, Rong X M, Song H X, Peng J W, Xie G X, Zhang Y P, Zhang Z H. Response of NO3 uptake and distribution and nitrogen use efficiency in oilseed rape to limited nitrogen stress. J Plant Nutr Fert, 2017,23:1104-1111 (in Chinese with English abstract).
[7] Clément G, Moison M, Soulay F, Reisdorf Cren M, Masclaux Daubresse C. Metabolomics of laminae and midvein during leaf senescence and source-sink metabolite management in Brassica napus L. leaves. J Exp Bot, 2017,69:891-903.
doi: 10.1093/jxb/erx253 pmid: 28992054
[8] Wang X, Wang H, Wang J, Sun R, Wu J, Liu S, Bai Y, Mun J H, Bancroft I, Cheng F. The genome of the mesopolyploid crop species Brassica rapa. Nat Genet, 2011,43:1035.
doi: 10.1038/ng.919 pmid: 21873998
[9] Bayer P E, Hurgobin B, Golicz A, Chan C K, Yuan Y, Lee H T, Renton M, Meng J, Li R, Long Y, Zou J, Bancroft I, Chalhoub B, King G J, Batley J, Edwards D. Assembly and comparison of two closely related Brassica napus genomes. Plant Biotechnol J, 2017,10:1-9.
doi: 10.1111/pbi.2011.10.issue-1
[10] Han Y L, Liu Q, Gu J D, Gong J M, Guan C Y, Lepo J E, Rong X M, Song H X, Zhang Z H. V-ATPase and V-PPase at the tonoplast affect NO3-content in Brassica napus by controlling distribution of NO3-between the cytoplasm and vacuole. J Plant Growth Regul, 2015,34:22-34.
doi: 10.1007/s00344-014-9439-8
[11] 薛飞洋. 谷子苗期低氮胁迫转录组测序及蛋白磷酸酶2C(PP2C)基因家族的特性分析. 西北农林科技大学硕士学位论文, 陕西杨陵, 2013.
Xue F Y. Transcriptome of Seeding Foxtall Millet Response to Low Nitrogen Stress and Characteristics Analysis of Protein Phosphatease 2C (PP2C) Gene Family in Foxtall Millet. MS Thesis of Northwest A&F University, Yangling, Shaanxi, China, 2013 (in Chinese with English abstract).
[12] Chen W, Provart N J, Glazebrook J, Katagiri F, Chang H S, Eulgem T, Budworth P R. Expression profile matrix of Arabidopsis transcription factor genes suggests their putative functions in response to environmental stresses. Plant Cell, 2002,14:559-574.
doi: 10.1105/tpc.010410 pmid: 11910004
[13] Tran L S P, Nakashima K, Sakuma Y, Simpson S D, Fujita Y, Maruyama K, Yamaguchi Shinozaki K. Isolation and functional analysis of Arabidopsis stress-inducible NAC transcription factors that bind to a drought-responsive cis-element in the early responsive to dehydration stress 1 promoter. Plant Cell, 2004,16:2481-2498.
doi: 10.1105/tpc.104.022699 pmid: 15319476
[14] Singh K B, Foley R C, Oñate Sánchez L. Transcription factors in plant defense and stress responses. Curr Opin Plant Biol, 2002,5:430-436.
doi: 10.1016/s1369-5266(02)00289-3 pmid: 12183182
[15] Zhao M H, Zhang W Z, Xu Z J, Wang J Y, Zhang L, Chen W F. Altered expression of transcription factor genes in rice flag leaf under low nitrogen stress. Rice Sci, 2012,19:100-107.
[16] Shamloo Dashtpagerdi R, Razi H, Ebrahimie E, Niazi A. Molecular characterization of Brassica napus stress related transcription factors, BnMYB44 and BnVIP1, selected based on comparative analysis of Arabidopsis thaliana and Eutrema salsugineum transcriptomes. Mol Biol Rep, 2018,45:1111-1124.
doi: 10.1007/s11033-018-4262-0 pmid: 30039430
[17] Hoagland D R, Arnon D I. The water-culture method for growing plants without soil. Circ Calif Agric Exp Stn, 1950,347:1-39.
[18] Hua Y P, Zhang D D, Zhou T, He M L, Ding G D, Shi L, Xu F S. Transcriptomics assisted quantitative trait locus fine mapping for the rapid identification of a nodulin 26-like intrinsic protein gene regulating boron efficiency in allotetraploid rapeseed. Plant Cell Environ, 2016,39:1601-1618.
doi: 10.1111/pce.12731 pmid: 26934080
[19] Ehlting B, Dluzniewska P, Dietrich H, Selle A, Teuber M, Hänsch R, Gessler A. Interaction of nitrogen nutrition and salinity in Grey poplar (Populus tremula × alba). Plant Cell Environ, 2007,30:796-811.
doi: 10.1111/j.1365-3040.2007.01668.x pmid: 17547652
[20] Wang L, Zhou Q, Ding L, Sun Y. Effect of cadmium toxicity on nitrogen metabolism in leaves of Solanum nigrum L. as a newly found cadmium hyperaccumulator. J Hazard Mater, 2008,154:818-825.
[21] Patterson K, Cakmak T, Cooper A, Lager I, Rasmusson A G, Escobar M A. Distinct signalling pathways and transcriptome response signatures differentiate ammonium- and nitrate-supplied plants. Plant Cell Environ, 2010,33:1486-1501.
doi: 10.1111/j.1365-3040.2010.02158.x pmid: 20444219
[22] Wang R C, Xing X J, Wang Y, Tran A, Crawford N M. A genetic screen for nitrate regulatory mutants captures the nitrate transporter gene NRT1.1. Plant Physiol, 2009,151:472-478.
doi: 10.1104/pp.109.140434 pmid: 19633234
[23] Li H, Li M, Luo J, Cao X, Qu L, Gai Y, Polle A, Peng C, Luo Z B. N-fertilization has different effects on the growth, carbon and nitrogen physiology, and wood properties of slow- and fast-growing Populus species. J Exp Bot, 2012,63:6173-6185.
doi: 10.1093/jxb/ers271
[24] Jain A K, Murty M N, Flynn P J. Data clustering: a review. ACM Comput Surv, 1999,31:264-323.
doi: 10.1145/331499.331504
[25] Saldanha A J. Java Treeview-extensible visualization of microarray data. Bioinformatics, 2004,20:3246-3248.
doi: 10.1093/bioinformatics/bth349 pmid: 15180930
[26] Ye J, Fang L, Zheng H K, Zhang Y, Chen J, Zhang Z J, Wang J, Li S T, Li R Q, Bolund L, Wang J. WEGO: a web tool for plotting GO annotations. Nucleic Acids Res, 2006,34:D293-D297.
[27] Kanehisa M, Araki M, Goto S, Hattori M, Hirakawa M, Itoh M, Katayama T, Kawashima S, Okuda S, Tokimatsu T, Yamanishi Y. KEGG for linking genomes to life and the environment. Nucleic Acid Res, 2008,36:D480-D484.
doi: 10.1093/nar/gkm882 pmid: 18077471
[28] Tarazona S, García Alcalde F, Dopazo J, Ferrer A, Conesa A. Differential expression in RNA-seq: a matter of depth. Genome Res, 2011,21:2213-2223.
doi: 10.1101/gr.124321.111
[29] Eisen M B, Spellman P T, Brown P O, Botstein D. Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA, 1998,95:14863-14868.
doi: 10.1073/pnas.95.25.14863 pmid: 9843981
[30] Ding L, Wang K J, Jiang G M, Biswas D K, Xu H, Li L F, Li Y H. Effects of nitrogen deficiency on photosynthetic traits of maize hybrids released in different years. Ann Bot, 2005,96:925-930.
doi: 10.1093/aob/mci244 pmid: 16103036
[31] Tobin A K, Yamaya T. Cellular compartmentation of ammonium assimilation in rice and barley. J Exp Bot, 2001,52:591-604.
pmid: 11373307
[32] Jiang Y, Duan Y, Yin J, Ye S, Zhu J, Zhan F, Luo K. Genome-wide identification and characterization of the populus WRKY transcription factor family and analysis of their expression in response to biotic and abiotic stresses. J Exp Bot, 2014,65:6629-6644.
doi: 10.1093/jxb/eru381
[33] He Y J, Mao S S, Gao Y L, Zhu L Y, Wu D M, Cui Y X, Li J N, Qian W. Genome-wide identification and expression analysis of WRKY transcription factors under multiple stresses in Brassica napus. PLoS One, 2016,11:e0157558.
doi: 10.1371/journal.pone.0157558 pmid: 27322342
[34] Cheng C L, Dewdney J, Nam H G, Den Boer B G, Goodman H M. A new locus (NIA 1) in Arabidopsis thaliana encoding nitrate reductase. EMBO J, 1988,7:3309-3314.
pmid: 2905260
[35] Wang Y Y, Hsu P K, Tsay Y F. Uptake, allocation and signaling of nitrate. Trends Plant Sci, 2012,17:458-467.
doi: 10.1016/j.tplants.2012.04.006 pmid: 22658680
[36] Feng H, Yan M, Fan X, Li B, Shen Q, Miller A J, Xu G. Spatial expression and regulation of rice high-affinity nitrate transporters by nitrogen and carbon status. J Exp Bot, 2011,62:2319-2332.
doi: 10.1093/jxb/erq403
[37] Lopez A J. Alternative splicing of pre-mRNA: developmental consequences and mechanisms of regulation. Annu Rev Genet, 1998,32:279-305.
doi: 10.1146/annurev.genet.32.1.279 pmid: 9928482
[38] Good A G, Shrawat A K, Muench D G. Can less yield more is reducing nutrient input into the environment compatible with maintaining crop production? Trends Plant Sci, 2004,9:597-605.
doi: 10.1016/j.tplants.2004.10.008 pmid: 15564127
[39] Filleur S, Daniel Vedele F. Expression analysis of a high-affinity nitrate transporter isolated from Arabidopsis thaliana by differential display. Planta, 1999,207:461-469.
doi: 10.1007/s004250050505 pmid: 9951738
[40] Birkenbihl R P, Diezel C, Somssich I E. Arabidopsis WRKY33 is a key transcriptional regulator of hormonal and metabolic responses towards Botrytis cinerea infection. Plant Physiol, 2012,159:266-285.
doi: 10.1104/pp.111.192641
[41] Li J, Brader G, Kariola T, Tapio P E. WRKY70 modulates the selection of signaling pathways in plant defense. Plant J, 2006,46:477-491.
doi: 10.1111/j.1365-313X.2006.02712.x pmid: 16623907
[42] Stracke R, Werber M, Weisshaar B. The R2R3-MYB gene family in Arabidopsis thaliana. Curr Opin Plant Biol, 2001,4:447-456.
doi: 10.1016/s1369-5266(00)00199-0 pmid: 11597504
[43] Dubos C, Stracke R, Grotewold E, Weisshaar B, Martin C, Lepiniec L. MYB transcription factors in Arabidopsis. Trends Plant Sci, 2010,15:573-581.
doi: 10.1016/j.tplants.2010.06.005 pmid: 20674465
[44] 王玉明, 曹廷, 冯瑜, 柴友荣. 甘蓝型油菜myb4基因RNA干扰载体构建. 作物杂志, 2010, (2):23-27.
Wang Y M, Cao T, Feng Y, Chai Y R. Construction of RNAi vector of Brassica napusMYB4gene. Crops, 2010, (2):23-27 (in Chinese with English abstract).
[45] Jung C, Seo J S, Han S W, Koo Y J, Kim C H, Song S I, Nahm B H, Choi Y D, Cheong J J. Overexpression of AtMYB44 enhances stomatal closure to confer abiotic stress tolerance in transgenic Arabidopsis. Plant Physiol, 2008,146:623-635.
doi: 10.1104/pp.107.110981 pmid: 18162593
[46] Shim J S, Jung C, Lee S, Min K, Lee Y W, Choi Y, Choi Y D. AtMYB44 regulates WRKY70 expression and modulates antagonistic interaction between salicylic acid and jasmonic acid signaling. Plant J, 2013,73:483-495.
doi: 10.1111/tpj.12051
[47] Celenza J L, Quiel J A, Smolen G A, Merrikh H, Silvestro A R, Normanly J, Bender J. The Arabidopsis ATR1 MYB transcription factor controls indolic glucosinolate homeostasis. Plant Physiol, 2005,137:253-262.
doi: 10.1104/pp.104.054395 pmid: 15579661
[48] Gigolashvili T, Yatusevich R, Berger B, Müller C, Flügge U I. The R2R3-MYB transcription factor HAG1/MYB28 is a regulator of methionine-derived glucosinolate biosynthesis in Arabidopsis thaliana. Plant J, 2007,51:247-261.
doi: 10.1111/j.1365-313X.2007.03133.x pmid: 17521412
[49] Malitsky S, Blum E, Less H, Venger I, Elbaz M, Morin S, Eshed Y, Aharoni A. The transcript and metabolite networks affected by the two clades of Arabidopsis glucosinolate biosynthesis regulators. Plant Physiol, 2008,148:2021-2049.
doi: 10.1104/pp.108.124784 pmid: 18829985
[50] Frerigmann H, Gigolashvili T. MYB34, MYB51, and MYB122 distinctly regulate indolic glucosinolate biosynthesis in Arabidopsis thaliana. Mol Plant, 2014,7:814-828.
doi: 10.1093/mp/ssu004
[51] Kirik V, Kölle K, Miséra S, Bäumlein H. Two novel MYB homologues with changed expression in late embryogenesis-defective Arabidopsis mutants. Plant Mol Biol, 1998,37:819-827.
doi: 10.1023/a:1006011002499 pmid: 9678577
[52] Sun Q, Lin L, Liu D, Wu D, Fang Y, Wu J, Wang Y. CRISPR/Cas9-mediated multiplex genome editing of the BnWRKY11 and BnWRKY70 genes in Brassica napus L. Int J Mol Sci, 2018,19:2716.
doi: 10.3390/ijms19092716
[53] Boue S, Letunic I, Bork P. Alternative splicing and evolution. Bioessays, 2003,25:1031-1034.
doi: 10.1002/bies.10371 pmid: 14579243
[54] Staiger D, Brown J W S. Alternative splicing at the intersection of biological timing, development, and stress responses. Plant Cell, 2013,25:3640-3656.
doi: 10.1105/tpc.113.113803
[55] Filichkin S, Priest H D, Megraw M, Mockler T C. Alternative splicing in plants: directing traffic at the crossroads of adaptation and environmental stress. Curr Opin Plant Biol, 2015,24:125-135.
doi: 10.1016/j.pbi.2015.02.008 pmid: 25835141
[1] Wang Chu-Rui, Li Kai-Xiang, Zhao Zhi, Xiao Lu, Tang Guo-Yong, Zhao Zhi-Gang, Xu Liang, Du De-Zhi, Liu Hai-Dong. Development and application of KASP markers for functional sites of the early flowering gene BnCRY2 in Brassica napus L. spring rapeseed [J]. Acta Agronomica Sinica, 2026, 52(3): 708-721.
[2] Ma Yi-Na, Wu Xiao-Ming-Yu, Li Ou-Qi, Wang Yuan, Chen Li, Zhang Ying-Chuan, Zhao Lun, Wen Jing, Fu Ting-Dong, Shen Jin-Xiong. Functional analysis of the Bna-miR1040-EIF3A module in regulating flowering time in rapeseed (Brassica napus) [J]. Acta Agronomica Sinica, 2026, 52(2): 349-362.
[3] Lou Hong-Xiang, Xing Ren-Peng, Wang Bo, Wang Jing, Xu Zheng-Hua, Zhao Jie, Kuai Jie, Zhou Guang-Sheng. Effects of sowing date on the utilization efficiency of light and temperature resources and yield in Brassica napus in the middle reaches of the Yangtze River [J]. Acta Agronomica Sinica, 2026, 52(2): 539-551.
[4] WANG Bin, MENG Jiang-Yu, QIU Hao-Liang, HE Ya-Jun, QIAN Wei. Identification and expression pattern analysis of the BnaDUF579 gene family in Brassica napus [J]. Acta Agronomica Sinica, 2025, 51(8): 2100-2110.
[5] XIA Qi, GUO Ying, WANG Kun-Mei, WANG Si-Yi, JU Jian-Ye, PENG Ya-Wen, LIU Zhong-Song, XIA Shi-Tou. Correlation between salicylic acid and anthocyanins accumulation in seeds of different varieties in Brassica napus [J]. Acta Agronomica Sinica, 2025, 51(5): 1189-1197.
[6] ZHANG Qin, DAI Cheng, MA Chao-Zhi. Auxin response reporter gene transformation of Brassica napus and dynamic signal analysis of GUS in different tissues [J]. Acta Agronomica Sinica, 2025, 51(3): 667-675.
[7] SUN Cheng-Ming, ZHOU Xiao-Ying, CHEN Feng, ZHANG Wei, WANG Xiao-Dong, PENG Qi, GUO Yue, GAO Jian-Qin, HU Mao-Long, FU San-Xiong, ZHANG Jie-Fu. Functional analysis and prediction of long non-coding RNA (lncRNA) in the regulation of branch angle in Brassica napus L. [J]. Acta Agronomica Sinica, 2025, 51(3): 559-567.
[8] ZHUANG Yue-Ming, SONG Yi, CHEN Hang-Hang, LU Zhi-Feng, LIAO Shi-Peng, LI Xiao-Kun, CONG Ri-Huan, REN Tao, LU Jian-Wei. Effects of application of nitrogen on endophytic microbiota and seed quality in rapeseed (Brassica napus L.) seeds [J]. Acta Agronomica Sinica, 2025, 51(12): 3357-3368.
[9] HUANG Rong, ZHOU Qu-Chen, CHEN Chu-Ming, LUO Qian, YI Dong, DU Chang-Huan, HUANG Xiang-Yu, SHENG Feng, DU Xue-Zhu. Effects of BnNRT2.3-like overexpression on nitrogen uptake, utilization efficiency, and yield in Brassica napus L. [J]. Acta Agronomica Sinica, 2025, 51(12): 3184-3197.
[10] JU Jian-Ye, YANG Liu, CHEN Hao, KANG Lei, XIA Shi-Tou, LIU Zhong-Song. Single-nucleus transcriptome analysis reveals the cellular differentiation trajectories and molecular mechanisms underlying yellow seed coat formation in rapeseed [J]. Acta Agronomica Sinica, 2025, 51(11): 2860-2874.
[11] ZHANG Wen, LI Yu, WANG Chuang, SHI Lei, DING Guang-Da. Functional study of the phosphate transporter protein BnaPT48 in Brassica napus [J]. Acta Agronomica Sinica, 2025, 51(11): 2983-2995.
[12] ZHAO Hui-Xia, GUO Yan-Li, ZHENG Yu-Ling, HE Ling, CHEN Rui, WANG Shan-Shan, ZENG Chang-Li, ZOU Jun, SHEN Jin-Xiong, FU Ting-Dong, LIU Xiao-Yun, WAN He-Ping. Differential gene expression analysis of response to alkaline salt stress in Brassica napus L. [J]. Acta Agronomica Sinica, 2025, 51(11): 3105-3118.
[13] HU Zhi-Kang, SHU Yu, WANG Hui, YANG Ying-Ying, LIAO Jun-Yu, LIU Jia, CHENG Hong-Tao, GUO Chen, ZHANG Yuan-Yuan, LIU Sheng-Yi, HU Qiong, MEI De-Sheng, LI Chao. Comprehensive evaluation of alkaline tolerance in Brassica napus at the seedling stage [J]. Acta Agronomica Sinica, 2025, 51(10): 2681-2692.
[14] WANG Chen, HE Dan, YAO Min, QIU Ping, HE Xin, XIONG Xing-Hua, KANG Lei, LIU Zhong-Song, QIAN Lun-Wen. Transcriptome-based identification of flowering candidate genes and functional characterization of BnaCOR27 in Brassica napus [J]. Acta Agronomica Sinica, 2025, 51(10): 2693-2704.
[15] XU Lin-Shan, GAO Geng-Dong, WANG Yu, WANG Jia-Xing, YANG Ji-Zhao, WU Ya-Rui, ZHANG Xiao-Han, CHANG Ying, LI Zhen, XIE Xiong-Ze, GONG De-Ping, WANG Jing, GE Xian-Hong. Analysis of expression patterns of laccase gene family members in Brassica napus and their association with stem fracture resistance [J]. Acta Agronomica Sinica, 2025, 51(1): 134-148.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!