MOLECULAR BEACON PROBE BASED PROMOTER MOTIFS VALIDATION IN ANOXIA RESPONSIVE DIFFERENTIALLY EXPRESSED GENES AND THEIR IN SILICO INTERACTION STUDIES WITH AP2/EREBP TF IN RICE (ORYZA SATIVA L.)

Authors

  • Gopal Kumar Prajapati Department of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand-835215
  • Dev Mani Pandey Birla Institute of Technology, Mesra, Ranchi, Jharkhand.

Keywords:

DEGs, Anoxia, DEG, MBP, HADDOCK, SiteMap

Abstract

Objective: Progressive evolution in molecular biology revealed the differential expression of genes and their regulatory mechanism in rice under anoxia. In addition to that the consensus promoter motifs (GCC and TCC box) were identified in differentially expressed genes (DEGs) from microarray analysis through in silico study. These promoter motifs need to be validated and their interaction study with the transcription factors (TFs) are essential.

Methods: To unravel the regulatory mechanism in rice during anoxia, we identified and validated the promoter motifs through Molecular Beacon Probes (MBP) based Real Time PCR. In silico protein-DNA interaction was studied between highly up-regulated APETALA2/Ethylene-responsive element binding proteins  (AP2/ERBP) TF under anoxia and validated promoter motifs through the HADDOCK and SiteMap module.

Results: It was identified that consensus promoter motif GCC and TCC box were present in highly up-regulated methyl-transferase domain containing protein gene (MT) and down-regulated RhoGAP domain containing protein gene (RG), respectively.

Conclusion: These promoter motifs were validated through MBP and further their interaction with AP2/ERBP shows the significant binding affinity towards GCC and TCC box present on MT and RG, respectively.

 

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Author Biography

Dev Mani Pandey, Birla Institute of Technology, Mesra, Ranchi, Jharkhand.

Associate Professor

References

Liu F, Xu W, Wei Q, Zhang Z, Xing Z, Tan L, et al. Gene expression profiles deciphering rice phenotypic variation between nipponbare (Japonica) and 93-11 (Indica) during oxidative stress. PLoS ONE 2010;5(1):e8632.

Mizoi J, Yamaguchi-Shinozaki K. Molecular approaches to improve rice abiotic stress tolerance. Methods Mol Biol 2013;956:269-83.

Perata P, Voesenek LA. Submergence tolerance in rice requires Sub1A, an ethylene-response-factor-like gene. Trends Plant Sci 2007;12:43–6.

Magneschi L, Perata P. Rice germination and seedling growth in the absence of oxygen. Ann Bot 2009;103:181.

Hattori Y, Nagai K, Ashikari M. Rice growth adapting to deepwater. Curr Opin Plant Biol 2011;14:100-5.

Lakshmanan M, Mohanty B, LimS-H, Ha S-H, Lee D-Y. Metabolic and transcriptional regulatory mechanisms underlying the anoxic adaptation of rice coleoptile. AoB Plants 2014;6:1-13.

Vartapetian BB, Jackson MB. Plant adaptations to anaerobic stress. Ann Bot 1997;79:3.

Lasanthi-Kudahettige R, Magneschi L, Loreti E, Gonzali S, Licausi F, Novi G, et al. Transcript profiling of the anoxic rice coleoptiles. Plant Physiol 2007;144:218-31.

Pandey DM, Deb R, Kumar A, Japan T. Study on the functional characterization of low oxygen stress inducible genes in rice((Oryza sativa L) Proceeding of 5th. Intewrnational symposium on rice functional genomics (ISRFG’ Epochal; 2007. p. 110.

Paul AL, Schuerger AC, Popp MP, Richards JT, Manak MS, Ferl RJ. Hypobaric biology: arabidopsis gene expression at low atmospheric pressure. Plant Physiol 2004;134:215.

Garg R, Verma M, Agrawal S, Shankar R, Majee M, Jain M. Deep transcriptome sequencing of wild halophyte rice, Porteresia coarctata, Provides novel insights into the salinity and submergence tolerance factors. DNA Res 2013;1-16.

Hussain SS, Kayani MA, Amjad M. Transcription factors as tools to engineer enhanced drought tolerance in plants. Biotechnol Prog 2011;27(2):297-306.

Riechmann JL, Meyerowitz EM. The AP2/EREBP family of plant transcription factors. Biol Chem 1998;379:633-46.

Sharoni AM, Nuruzzaman M, Satoh K, Shimizu T, Kondoh H, Sasaya T, et el. Gene structures, classification and expression models of the AP2/EREBP transcription factor family in rice. Plant Cell Physiol 2011;52(2):344-60.

Buttner M, Singh B. Arabidopsis thaliana ethylene-responsive element binding protein (AtEBP), an ethylene-inducible, GCC box DNA-binding protein interacts with an ocs element binding protein. Proc Natl Acad Sci USA 1997;94:5961–6.

Ohme-Takagi M, Shinshi H. Ethylene-inducible DNA binding proteins that interact with an ethylene-responsive element. Plant Cell 1995;7:173–82.

Hao DY, Ohme-Takagi M, Sarai A. Unique mode of GCC box recognition by the DNA-binding domain of ethylene-responsive element-binding factor (ERF domain) in plant. J Biol Chem 1998;273(41):26857-61.

Chakravarthy S, Tuori RP, D Ascenzo MD, Fobert PR, Després C, Martin GB. The tomato transcription factor Pti4 regulates defense-related gene expression via GCC box and non-GCC box cis elements. Plant Cell 2003;15:3033.

Yamaguchi-Shinozaki K, Shinozaki K. Organization of cis-acting regulatory elements in osmotic-and cold-stress-responsive promoters. Trends Plant Sci 2005;10:88-94.

Stockinger EJ, Gilmour SJ, Thomashow MF. Arabidopsis thaliana CBF1 encodes an AP2 domain-containing transcription activator that binds to the C-repeat/DRE, a cis-acting DNA regulatory element that stimulates transcription in response to low temperature and water deficit. Proc Natl Acad Sci USA 1997;94:1035–40.

Xu K, Xu X, Fukao T, Canlas P, Maghirang-Rodriguez R, Heuer S, et al. Sub1A is an ethylene-response-factor-like gene that confers submergence tolerance to rice. Nat 2006;442:705-8.

Mohanty B, Krishnan SPT, Swarup S, Bajic VB. Detection and preliminary analysis of motifs in promoters of anaerobically induced genes of different plant species. Ann Bot 2005;96:669.

Kumar A, Sharma V, Smita S, Sahu N, Shankaracharya, Vidyarthi AS, et al. In Silico analysis of motifs in promoters of differentially expressed genes in rice (Oryza sativa L.) under anoxia. Int J Bioinfo Res Appl 2009;5(5):523-47.

Prajapati GK, Kashayp N, Kumar A, Pandey DM. Identification of GCC box in the promoter region of ubiquinol cytochrome c chaperone gene using molecular beacon probe and its in silico protein-DNA interaction study in rice (Oryza sativa L.). Int J Comp Bioinfo In Silico Mod 2013;2(5):213-22.

Tyagi S, Kramer FR. Molecular beacons: probes that fluoresce upon hybridization. Nat Biotechnol 1996;14:303-8.

Andersen CB, Holst-Jensen A, Berdal KG, Thorstensen T, Tengs T. Equal Performance of taq man, MGB, Molecular beacon, and SYBR green-based detection assays in detection and quantification of roundup ready soybean. J Agric Food Chem 2006;54:9658-63.

Kamboj A, Pateriya AK, Mishra A, Ranaware P, Kulkarni DD, Raut AA. Novel molecular beacon probe-based Real-Time RT-PCR assay for diagnosis of crimean-congo hemorrhagic fever encountered in India. Bio Med Res Int 2014;27:496219.

Gohring J, Jacak J, Barta A. Imaging of endogenous messenger RNA splice variants in living cells reveals nuclear retention of transcripts inaccessible to nonsense-mediated decay in Arabidopsis. Plant Cell 2014;26:754–64.

Lata P, Ram S, Agrawal M, Shanker R. Real Time PCR for the rapid detection of vanA gene in surface waters and aquatic macrophyte by molecular beacon probe. Environ Sci Technol 2009;43:3343-8.

Qin S, Zhou HX. Structural models of Protein-DNA complexes based on interface prediction and docking. Curr Protein Peptide Sci 2011;12:531-9.

Leung KS, Wong K-C, Chan TM, Wong MH, Lee KH, Lau CH, et al. Discovering protein–DNA binding sequence patterns using association rule mining. Nucl Acids Res 2010;38(19):6324-37.

Nagarajan R, Ahmad S, Gromiha MM. Novel approach for selecting the best predictor for identifying the binding sites in DNA binding proteins. Nucleic Acids Res 2013;41(16):7606–14.

Tomovic A, Oakeley EJ. Position dependencies in transcription factor binding sites. Bioinfo 2007;23:933-41.

Moreira IS, Fernandes PA, Ramos MJ. Computational alanine scanning mutagenesis-an improved methodological approach. J Comput Chem 2007;28(3):644–54.

Setny P, Bahadur RP, Zacharias M. Protein-DNA docking with a coarse-grained force field. BMC Bioinfo 2012;13:228.

Site Map-V-2.5, V 2.5, Schrödinger, LLC: New York, NY; 2011.

Banitt I, Wolfson HJ. Para dock: a flexible non-specific DNA–rigid protein docking algorithm. Nucleic Acids Res 2011;39(20):135.

Aloy P, Moont G, Gabb HA. Modelling repressor proteins docking to DNA. Proteins 1998;33(4):535–49.

Van Dijk M, van Dijk ADJ, Hsu V. Information driven protein-DNA docking using, HADDOCK: it is a matterof flexibility. Nucleic Acids Res 2006;34(11):3317–25.

van Dijk M, Bonvin AMJJ. Pushing the limits of what is achievable in protein-DNA docking: bench marking HADDOCK’s performance. Nucleic Acids Res 2010;38(17):5634–47.

Qamarunnisa S, Hussain M, Jabbeen, Raza S, Khanani MH, Azhar A, et al. In silico studies on structure-fuction of DNA GCC-Box binding domain of Brassica Nnapus DREB1 protein. Pak J Bot 2012;44(2):493-500.

Pandey DM, Kumar A. 3D structure prediction and protein-DNA interaction of CCCH-type zinc finger transcription factor gene in Rice (Oryza sativa L.). Int J Comp Bioinfo In Silico Modeling 2013;2(2):94-103.

Shanker AK, Maddaala A, Kumar MA, Yadav SK, Maheswari M, Venkateswarlu B. In silico targeted genome mining and comparative modelling reveals a putative protein similar to an Arabidopsis drought tolerance DNA binding transcription factor in Chromosome 6 of Sorghum bicolor genome. Interdiscip Sci 2012;4(2):133-41.

Prajapati GK, Kumar A, Pandey DM. Poster presentation on molecular beacon probe based promoter motif detection & in silico protein-DNA interaction studies during submergence in rice (Oryza sativa L. In 7th International rice genetics symposium manila philippines; 2013. p. 85.

Zhang Y. I-TASSER server for protein 3D structure prediction. BMC Bioinf 2008;9:40.

Lovell SC, Davis IW, Arendall WB, de Bakker PI, Word JM, Prisant MG, et al. Structure validation by Calpha geometry: phi,psi and Cbeta deviation. Proteins 2003;50(3):437-50.

Binod P, Sindhu R, Singhania RR, Vikram S, Devi L, Nagalakshmi S, et al. Bioethanol production from rice straw: an overview. Bioresour Technol 2010;101:4767–74.

Rehman S, Harris PJC, Ashraf M. Stress environments and their impact on crop production. In: Ashraf M, Harris PJC, eds. Abiotic stresses: plant resistance through breeding and molecular approaches. Haworth Press: New York; 2005. p. 3-18.

Ashraf M, Athar HR, Harris PJC, Kwon TR. Some prospective strategies for improving crop salt tolerance. Adv Agron 2008;97:45–110.

Todaka D, Nakashima K, Shinozaki K, Yamaguchi-Shinozaki K. Toward understanding transcriptional regulatory networks in abiotic stress responses and tolerance in rice. Rice 2012;5:6.

Liu FL, Van Toai T, Moy LP, Bock G, Linford LD, Quackenbush J. Global transcription profiling reveals comprehensive insights into hypoxic response in Arabidopsis. Plant Physiol 2005;137:1115–29.

Bailey TL, Boden M, Buske FA, Frith M, Grant CE, Clementi L, et al. MEME SUITE: tools for motif discovery and searching. Nucl Acids Res 2009;37:202-8.

Doi K, Hosaka A, Nagata T. Development of a novel data mining tool to find cis-elements in rice gene promoter regions. BMC Plant Biol 2008;8:20.

Liseron-Monfils C, Lewis T, Ashlock D, McNicholas PD, Fauteux F, Strömvik M, et al. Promzea: a pipeline for discovery of co-regulatory motifs in maize and other plant species and its application to the anthocyanin and phlobaphene biosynthetic pathways and the maize development atlas. BMC Plant Biol 2013;13:42.

Vongs A, Kakutani T, Martienssen RA, Richards EJ. Arabidopsis thaliana DNA methylation mutants. Sci 1993;260:1926–8.

Steward N, Kusano T, Sano H. Expression of ZmMET1, a gene encoding a DNA methyltransferase from maize, is associated not only with DNA replication in actively proliferating cells, but also with altered DNA methylation status in cold-stressed quiescent cells. Nucleic Acids Res 2000;28:3250–9.

Teerawanichpan P, Chandrasekharan M, Jiang Y, Narangajavana J, Hall T. Characterization of two rice DNA methyltransferase genes and RNA imediated reactivation of a silenced transgene in rice callus. Planta 2004;218:337–49.

Thomas M, Pingault L, Poulet A, Duarte J, Throude M, Faure S, et al. Evolutionary history of Methyltransferase 1 genes in hexaploid wheat. BMC Genomics 2014;15:922.

Rivero F, Cvrcková F. Origins and evolution of the actin cytoskeleton. Adv Exp Med Biol 2007;607:97-110.

Hall A, Rho GT. Pases and the control of cell behaviour. Biochem Soc Trans 2005;33:891-5.

Ridley AJ. Rho GT. Pases and actin dynamics in membrane protrusions and vesicle trafficking. Trends Cell Biol 2006;16:522-9.

Ye Q, Zhuang H, Zhou C. Detection of naphthalene by real-time immuno-PCR using molecular beacon. Mol Cell Probes 2009;23:29.

Nakashima K, Yamaguchi-Shinozaki K, Shinozaki K. The transcriptional regulatory network in the drought response and its crosstalk in abiotic stress responses, including drought, cold, and heat. Front Plant Sci 2009;5:170.

Song X, Li Y, Hou X. Genome-wide analysis of the AP2/ERF transcription factor superfamily in Chinese cabbage (Brassica rapa ssp. pekinensis). BMC Genomics 2013;14:573.

Rashid M, Guangyuan H, Guangxiao Y, Hussain J, Xu Y. AP2/ERF transcription factor in rice: genome-wide canvas and syntenic relationships between monocots and eudicots. Evol Bioinf Online 2012;8:321-55.

Liu D, Chen X, Liu J, Ye J, Guo Z. The rice ERF transcription factor OsERF922 negatively regulates resistance to Magnaporthe oryzae and salt tolerance. J Exp Bot 2012;63(10):3899-911.

Fujimoto SY, Ohta M, Usui A. Arabidopsis ethylene-responsive element binding factors act as transcriptional activators or repressors of GCC box-mediated gene expression. Plant Cell 2000;12:394-404.

Cheong YH, Moon BC, Kim JK. BWMK1, a rice mitogen-activated protein kinase, locates in the nucleus and mediates pathogenesis-related gene expression by activation of a transcription factor. Plant Physiol 2003;132:1961-72.

Sessa G, Meller Y, Fluhr R. A GCC element and a G-box motif participate in ethylene-induced expression of the PRB-lb gene. Plant Mol Biol 1995;28:145-53.

Donald JE, Chen WW, Shakhnovich EI. Energetics of protein-DNA interactions. Nucleic Acids Res 2007;35(4):1039-47.

Kauffman C, Karypic G. Computational tools for protein–DNA interactions. WIREs Data Mining Knowl Discov 2012;2:14–28.

Chou CC, Rajasekaran M, Chen C. An effective approach for generating a three Cys2His2zinc-finger-DNA complex model by docking. BMC Bioinf 2010;11:334.

deVries SJ, van Dijk M, Bonvin AMJJ. The HADDOCKweb server for data-driven Biomolecular docking. Nat Protoc 2010;5:883-97.

Parveen A, Chakraborty A, Konreddy AK, Chakravarty HC, Sharon A, Trivedi V, et al. Skeletal hybridization and PfRIO-2 kinase modeling for synthesis of a-pyrone analogs as anti-malarial agent. Eur J Med Chem 2013;70:607-12.

Nayal M, Honig B. On the nature of cavities on protein surfaces: application to the identification of drug-binding sites. Proteins 2006;63:892-906.

Halgren TA. Identifying and characterizing binding sites and assessing drug ability. J Chem Inf Model 2009;49(2):377-89.

Published

01-03-2015

How to Cite

Prajapati, G. K., and D. M. Pandey. “MOLECULAR BEACON PROBE BASED PROMOTER MOTIFS VALIDATION IN ANOXIA RESPONSIVE DIFFERENTIALLY EXPRESSED GENES AND THEIR IN SILICO INTERACTION STUDIES WITH AP2/EREBP TF IN RICE (ORYZA SATIVA L.)”. International Journal of Pharmacy and Pharmaceutical Sciences, vol. 7, no. 3, Mar. 2015, pp. 123-30, https://journals.innovareacademics.in/index.php/ijpps/article/view/4333.

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