Please wait a minute...
Journal of Integrative Agriculture  2013, Vol. 12 Issue (9): 1522-1529    DOI: 10.1016/S2095-3119(13)60500-6
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
MicroRNA Primary Transcripts and Promoter Elements Analysis in Soybean (Glycine max L. Merril.)
 LI Jing, LIU Yong-xin, HAN Ying-peng, LI Yong-guang, GUO Mao-zu , LI Wen-bin
1.Key Laboratory of Soybean Biology, Ministry of Education/Northeast Agricultural University, Harbin 150030, P.R.China
2.Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  The importance of microRNA (miRNA) at the post-transcriptional regulation level has recently been recognized in both animals and plants. In recent years, many studies focused on miRNA target identification and functional analysis. However, little is known about the transcription and regulation of miRNAs themselves. In this study, the transcription start sites (TSSs) for 11 miRNA primary transcripts of soybean from 11 miRNA loci (of 50 loci tested) were cloned by a 5´ rapid amplification of cDNA ends (5´ RACE) procedure using total RNA from 30-d-old seedlings. The features consistent with a RNA polymerase II mechanism of transcription were found among these miRNA loci. A position weight matrix algorithm was used to identify conserved motifs in miRNA core promoter regions. A canonical TATA box motif was identified upstream of the major start site at 8 (76%) of the mapped miRNA loci. Several cis-acting elements were predicted in the 2 kb 5´ to the TSSs. Potential spatial and temporal expression patterns of the miRNAs were found. The target genes for these miRNAs were also predicted and further elucidated for the potential function of the miRNAs. This research provides a molecular basis to explore regulatory mechanisms of miRNA expression, and a way to understand miRNAmediated regulatory pathways and networks in soybean.

Abstract  The importance of microRNA (miRNA) at the post-transcriptional regulation level has recently been recognized in both animals and plants. In recent years, many studies focused on miRNA target identification and functional analysis. However, little is known about the transcription and regulation of miRNAs themselves. In this study, the transcription start sites (TSSs) for 11 miRNA primary transcripts of soybean from 11 miRNA loci (of 50 loci tested) were cloned by a 5´ rapid amplification of cDNA ends (5´ RACE) procedure using total RNA from 30-d-old seedlings. The features consistent with a RNA polymerase II mechanism of transcription were found among these miRNA loci. A position weight matrix algorithm was used to identify conserved motifs in miRNA core promoter regions. A canonical TATA box motif was identified upstream of the major start site at 8 (76%) of the mapped miRNA loci. Several cis-acting elements were predicted in the 2 kb 5´ to the TSSs. Potential spatial and temporal expression patterns of the miRNAs were found. The target genes for these miRNAs were also predicted and further elucidated for the potential function of the miRNAs. This research provides a molecular basis to explore regulatory mechanisms of miRNA expression, and a way to understand miRNAmediated regulatory pathways and networks in soybean.
Keywords:  soybean       miRNA       primary transcript       RACE       TATA box       motif       promoter       cis-acting element  
Received: 14 September 2012   Accepted:
Fund: 

This study was conducted in the Key Laboratory of Soybean Biology of Chinese Education Ministry, Agriculture Research System of China and the Key Laboratory of Northeastern Soybean Biology and Breeding/Genetics of Chinese Agriculture Ministry, financially supported by the National High-Tech R&D Program of China (2006AA10Z1F1), the National Core Soybean Genetic Engineering Project, China (2011ZX08004-002), the National Natural Science Foundation of China (60932008, 30971810), the National Basic Research Program of China (2009CB118400), the Ministry of Education Innovation Team of Soybean Molecular Design, China and the Innovation Team of the Education Bureau of Heilongjiang Province, China.

Corresponding Authors:  Correspondence LI Wen-bin, Tel: +86-451-55190778, E-mail: wenbinli@neau.edu.cn     E-mail:  wenbinli@neau.edu.cn
About author:  LI Jing, Mobile: 13936282709, E-mail: lijing_101@126.com;

Cite this article: 

LI Jing, LIU Yong-xin, HAN Ying-peng, LI Yong-guang, GUO Mao-zu , LI Wen-bin. 2013. MicroRNA Primary Transcripts and Promoter Elements Analysis in Soybean (Glycine max L. Merril.). Journal of Integrative Agriculture, 12(9): 1522-1529.

[1]Altschul S F, Madden T L, Schaffer A A, Zhang J, Zhang Z,Miller W, Lipman D J. 1997. Gapped BLAST and PSIBLAST:a new generation of protein database searchprograms. Nucleic Acids Research, 25, 3389-3402

[2]Ao W, Gaudet J, Kent W J, Muttumu S, Mango S E. 2004.Environmentally induced foregut remodeling by PHA-4/FoxA and DAF-12/NHR Science, 305, 1743-1746

[3]Cai X, Hagedorn C H, Cullen B R 2004. Human microRNAsare processed from capped, polyadenylated transcriptsthat can also function as mRNAs. RNA-A Publicationof the RNA Society, 10, 1957-1966

[4]Chen R, Hu Z, Zhang H. 2009. Identification of microRNAsin wild soybean (Glycine soja). Journal of IntegrativePlant Biology, 51, 1071-1079

[5]Chen X M. 2004. A microRNA as a translational repressorof APETALA2 in Arabidopsis flower development.Science, 303, 2022-2025

[6]Chen X M. 2010. Small RNAs - secrets and surprises of thegenome. The Plant Journal, 61, 941-958

[7]Griffiths-Jones S, Saini H K, van Dongen S, Enright A J.2008. miRBase: tools for microRNA genomics. NucleicAcids Research, 36, 154-158

[8]Jones-Rhoades M W, Bartel D P. 2004. Computationalidentification of plant microRNAs and their targets, includinga stress-induced miRNA. Molecular Cell, 14, 787-799

[9]Joshi T, Yan Z, Libault M, Jeong D H, Park S, Green P J,Sherrier D J, Farmer A, May G, Meyers B C, et al. 2010.Prediction of novel miRNAs and associated target genesin Glycine max. BMC Bioinformatics, 11, 14.

[10]Kozomara A, Griffiths-Jones S. 2010. miRBase: integratingmicroRNA annotation and deep-sequencing data.Nucleic Acids Research, 39, 152-157

[11]Lee Y, Ahn C, Han J, Choi H, Kim J, Yim J, Lee J, Provost P,Radmark O, Kim S, et al. 2003. The nuclear RNase III Droshainitiates microRNA processing. Nature, 425, 415-419

[12]Lee Y, Jeon K, Lee J T, Kim S, Kim V N. 2002. MicroRNAmaturation: stepwise processing and subcellularlocalization. EMBO Journal, 21, 4663-4670

[13]Lee Y, Kim M, Han J, Yeom K H, Lee S, Baek S H, Kim V N.2004. MicroRNA genes are transcribed by RNApolymerase II. EMBO Journal, 23, 4051-4060

[14]Lescot M, Dehais P, Thijs G, Marchal K, Moreau Y, van dePeer Y, Rouze P, Rombauts S. 2002. PlantCARE, a databaseof plant cis-acting regulatory elements and a portal to toolsfor in silico analysis of promoter sequences. NucleicAcids Research, 30, 325-327

[15]Liu H H, Tian X, Li Y J, Wu C A, Zheng C C. 2008.Microarray-based analysis of stress-regulated microRNAsin Arabidopsis thaliana. RNA-A Publication of the RNASociety, 14, 836-843

[16]Liu X, Luo G, Bai X, Wang X J. 2009. Bioinformatic analysisof microRNA biogenesis and function related proteinsin eleven animal genomes. Journal of Genetics andGenomics, 36, 591-601

[17]Liu Y, Wei L, Batzoglou S, Brutlag D L, Liu J S, Liu X S.2004. A suite of web-based programs to search fortranscriptional regulatory motifs. Nucleic AcidsResearch, 32, 204-207

[18]Liu Y X, Chang W, Han Y P, Zou Q, Guo M Z, Li W B. 2011.In silico detection of novel microRNAs genes in soybeangenome. Agriculture Sciences in China, 10, 1336-1345

[19]Liu Y X, Han Y P, Chang W, Zou Q, Guo M Z, Li W B. 2010.Genomic analysis of microRNA promoters and their cisactingelements in soybean. Agriculture Sciences inChina, 9, 1561-1570

[20]Megraw M, Baev V, Rusinov V, Jensen S T, Kalantidis K,Hatzigeorgiou A G. 2006. MicroRNA promoter elementdiscovery in Arabidopsis. RNA-A Publication of theRNA Society, 12, 1612-1619

[21]Ohler U, Yekta S, Lim L P, Bartel D P, Burge C B. 2004. Patternsof flanking sequence conservation and a characteristicupstream motif for microRNA gene identification. RNAAPublication of the RNA Society, 10, 1309-1322

[22]Schmutz J, Cannon S B, Schlueter J, Ma J, Mitros T, NelsonW, Hyten D L, Song Q, Thelen J J, Cheng J, et al. 2010.Genome sequence of the palaeopolyploid soybean.Nature, 463, 178-183

[23]Shahmuradov I A, Gammerman A J, Hancock J M, Bramley P M,Solovyev V V. 2003. PlantProm: a database of plantpromoter sequences. Nucleic Acids Research, 31, 114-117

[24]Song Q X, Liu Y F, Hu X Y, Zhang W K, Ma B A, Chen S Y,Zhang J S. 2011. Identification of miRNAs and theirtarget genes in developing soybean seeds by deepsequencing. BMC Plant Biology, 11, 5.

[25]Subramanian S, Fu Y, Sunkar R, Barbazuk W B, Zhu J K, YuO. 2008. Novel and nodulation-regulated microRNAsin soybean roots. BMC Genomics, 9, 160.

[26]Sunkar R, Jagadeeswaran G. 2008. In silico identificationof conserved microRNAs in large number of diverseplant species. BMC Plant Biology, 8, 37.

[27]Tuteja J H, Zabala G, Varala K, Hudson M, Vodkin L O.2009. Endogenous, tissue-specific short interferingRNAs silence the chalcone synthase gene family inglycine max seed coats. The Plant Cell, 21, 3063-3077

[28]Voinnet O. 2009. Origin, biogenesis, and activity of plantmicroRNAs. Cell, 136, 669-687

[29]Wang Y, Li P, Cao X, Wang X, Zhang A, Li X 2009.Identification and expression analysis of miRNAs fromnitrogen-fixing soybean nodules. Biochemical andBiophysical Research Communications, 378, 799-803

[30]Xie Z, Allen E, Fahlgren N, Calamar A, Givan S A, CarringtonJ C. 2005. Expression of Arabidopsis MIRNA genes.Plant Physiology, 138, 2145-2154

[31]Zeng H Q, Zhu Y Y, Huang S Q, Yang Z M. 2010. Analysisof phosphorus-deficient responsive miRNAs and ciselementsfrom soybean (Glycine max L.). Journal ofPlant Physiology, 167, 1289-1297

[32]Zhang B, Pan X, Stellwag E J. 2008. Identification of soybeanmicroRNAs and their targets. Planta, 229, 161-182

[33]Zhang Z, Yu J, Li D, Liu F, Zhou X, Wang T, Ling Y, Su Z.2009. PMRD: plant microRNA database. Nucleic AcidsResearch, 38, 806-813

[34]Zhao P X, Dai X B. 2011. PsRNATarget: a plant small RNA targetanalysis server. Nucleic Acids Research, 39, 155-159.
[1] YANG Hong-jun, YE Wen-wu, YU Ze, SHEN Wei-liang, LI Su-zhen, WANG Xing, CHEN Jia-jia, WANG Yuan-chao, ZHENG Xiao-bo. Host niche, genotype, and field location shape the diversity and composition of the soybean microbiome[J]. >Journal of Integrative Agriculture, 2023, 22(8): 2412-2425.
[2] XU Lei, ZHAO Tong-hua, Xing Xing, XU Guo-qing, XU Biao, ZHAO Ji-qiu.

Model fitting of the seasonal population dynamics of the soybean aphid, Aphis glycines Matsumura, in the field [J]. >Journal of Integrative Agriculture, 2023, 22(6): 1797-1808.

[3] QU Zheng, LI Yue-han, XU Wei-hui, CHEN Wen-jing, HU Yun-long, WANG Zhi-gang. Different genotypes regulate the microbial community structure in the soybean rhizosphere[J]. >Journal of Integrative Agriculture, 2023, 22(2): 585-597.
[4] GAO Hua-wei, YANG Meng-yuan, YAN Long, HU Xian-zhong, HONG Hui-long, ZHANG Xiang, SUN Ru-jian, WANG Hao-rang, WANG Xiao-bo, LIU Li-ke, ZHANG Shu-zhen, QIU Li-juan. Identification of tolerance to high density and lodging in short petiolate germplasm M657 and the effect of density on yield-related phenotypes of soybean[J]. >Journal of Integrative Agriculture, 2023, 22(2): 434-446.
[5] ZHANG Jiao-jiao, LI Ya-qi, SHI Mei, WANG Yu-sha, TANG Yao, WANG Xian-zhong. Cold plasma promotes Sertoli cell proliferation via AMPK-mTOR signaling pathway[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2700-2719.
[6] GAO Hua-wei, SUN Ru-jian, YANG Meng-yuan, YAN Long, HU Xian-zhong, FU Guang-hui, HONG Hui-long, GUO Bing-fu, ZHANG Xiang, LIU Li-ke, ZHANG Shu-zhen, QIU Li-juan. Characterization of the petiole length in soybean compact architecture mutant M657 and the breeding of new lines[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2508-2520.
[7] ZHANG Hua, WU Hai-yan, TIAN Rui, KONG You-bin, CHU Jia-hao, XING Xin-zhu, DU Hui, JIN Yuan, LI Xi-huan, ZHANG Cai-ying. Genome-wide association and linkage mapping strategies reveal genetic loci and candidate genes of phosphorus utilization in soybean[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2521-2537.
[8] SONG Xiao-fei, GE Dan-feng, XIE Yang, LI Xiao-li, SUN Cheng-zhen, CUI Hao-nan, ZHU Xue-yun, LIU Ren-yi, YAN Li-ying. Genome-scale mRNA and miRNA transcriptomic insights into the regulatory mechanism of cucumber corolla opening[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2603-2614.
[9] ZOU Jia-nan, ZHANG Zhan-guo, KANG Qing-lin, YU Si-yang, WANG Jie-qi, CHEN Lin, LIU Yan-ru, MA Chao, ZHU Rong-sheng, ZHU Yong-xu, DONG Xiao-hui, JIANG Hong-wei, WU Xiao-xia, WANG Nan-nan, HU Zhen-bang, QI Zhao-ming, LIU Chun-yan, CHEN Qing-shan, XIN Da-wei, WANG Jin-hui. Characterization of chromosome segment substitution lines reveals candidate genes associated with the nodule number in soybean[J]. >Journal of Integrative Agriculture, 2022, 21(8): 2197-2210.
[10] PAN Wen-jing, HAN Xue, HUANG Shi-yu, YU Jing-yao, ZHAO Ying, QU Ke-xin, ZHANG Ze-xin, YIN Zhen-gong, QI Hui-dong, YU Guo-long, ZHANG Yong, XIN Da-wei, ZHU Rong-sheng, LIU Chun-yan, WU Xiao-xia, JIANG Hong-wei, HU Zhen-bang, ZUO Yu-hu, CHEN Qing-shan, QI Zhao-ming. Identification of candidate genes related to soluble sugar contents in soybean seeds using multiple genetic analyses[J]. >Journal of Integrative Agriculture, 2022, 21(7): 1886-1902.
[11] LIU Chen, TIAN Yu, LIU Zhang-xiong, GU Yong-zhe, ZHANG Bo, LI Ying-hui, NA Jie, QIU Li-juan. Identification and characterization of long-InDels through whole genome resequencing to facilitate fine-mapping of a QTL for plant height in soybean (Glycine max L. Merr.)[J]. >Journal of Integrative Agriculture, 2022, 21(7): 1903-1912.
[12] WU Hong-liang, CAI An-dong, XING Ting-ting, HUAI Sheng-chang, ZHU Ping, HAN Xiao-zeng, XU Ming-gang, LU Chang-ai. Integrated management of crop residue and nutrients enhances new carbon formation by regulating microbial taxa and enzymes[J]. >Journal of Integrative Agriculture, 2022, 21(6): 1772-1785.
[13] AN Feng, ZHANG Kang, ZHANG Ling-kui, LI Xing, CHEN Shu-min, WANG Hua-sen, CHENG Feng. Genome-wide identification, evolutionary selection, and genetic variation of DNA methylation-related genes in Brassica rapa and Brassica oleracea[J]. >Journal of Integrative Agriculture, 2022, 21(6): 1620-1632.
[14] HUI Fang, XIE Zi-wen, LI Hai-gang, GUO Yan, LI Bao-guo, LIU Yun-ling, MA Yun-tao. Image-based root phenotyping for field-grown crops: An example under maize/soybean intercropping[J]. >Journal of Integrative Agriculture, 2022, 21(6): 1606-1619.
[15] TIAN Yu, YANG Lei, LU Hong-feng, ZHANG Bo, LI Yan-fei, LIU Chen, GE Tian-li, LIU Yu-lin, HAN Jia-nan, LI Ying-hui, QIU Li-juan. QTL analysis for plant height and fine mapping of two environmentally stable QTLs with major effects in soybean[J]. >Journal of Integrative Agriculture, 2022, 21(4): 933-946.
No Suggested Reading articles found!