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Extracting regulator activity profiles by integration of de novo motifs and expression data : characterizing key regulators of nutrient depletion responses in Streptomyces coelicolor

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Iqbal, Mudassar, Mast, Yvonne, Amin, Rafat, Hodgson, D. A. (David A.), Wohlleben, W. and Burroughs, Nigel John. (2012) Extracting regulator activity profiles by integration of de novo motifs and expression data : characterizing key regulators of nutrient depletion responses in Streptomyces coelicolor. Nucleic Acids Research, Vol.40 (No.12). pp. 5227-5239. ISSN 0305-1048

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Official URL: http://dx.doi.org/10.1093/nar/gks205

Abstract

Determining transcriptional regulator activities is a major focus of systems biology, providing key insight into regulatory mechanisms and co-regulators. For organisms such as Escherichia coli, transcriptional regulator binding site data can be integrated with expression data to infer transcriptional regulator activities. However, for most organisms there is only sparse data on their transcriptional regulators, while their associated binding motifs are largely unknown. Here, we address the challenge of inferring activities of unknown regulators by generating de novo (binding) motifs and integrating with expression data. We identify a number of key regulators active in the metabolic switch, including PhoP with its associated directed repeat PHO box, candidate motifs for two SARPs, a CRP family regulator, an iron response regulator and that for LexA. Experimental validation for some of our predictions was obtained using gel-shift assays. Our analysis is applicable to any organism for which there is a reasonable amount of complementary expression data and for which motifs (either over represented or evolutionary conserved) can be identified in the genome.

Item Type: Journal Article
Subjects: Q Science > QH Natural history > QH426 Genetics
Divisions: Faculty of Science > Life Sciences (2010- )
Faculty of Science > Centre for Systems Biology
Library of Congress Subject Headings (LCSH): Genetic transcription -- Regulation, Gene expression, Streptomyces coelicolor -- Genetics
Journal or Publication Title: Nucleic Acids Research
Publisher: Oxford University Press
ISSN: 0305-1048
Date: 2012
Volume: Vol.40
Number: No.12
Page Range: pp. 5227-5239
Identification Number: 10.1093/nar/gks205
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Funder: Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC), Pakistan. Higher Education Commission, Dow University of Health Sciences, Sixth Framework Programme (European Commission) (FP6)
Grant number: BB/FF003498/1 (BBSRC), 0315931 (FP6)
References: 1. Ross,P.L., Huang,Y.N., Marchese,J.N., Williamson,B., Parker,K., Hattan,S., Khainovski,N., Pillai,S., Dey,S., Daniels,S. et al. (2004) Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents. Mol. Cell. Proteomics, 3, 1154–1169. 2. Shadforth,I.P., Dunkley,T.P.J., Lilley,K.S. and Bessant,C. (2005) i-Tracker: for quantitative proteomics using iTRAQ. BMC Genomics, 6, 145, doi:10.1186/1471-2164-6-145. 3. Gao,F., Foat,B.C. and Bussemaker,H.J. (2004) Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data. BMC Bioinformtics, 5, doi:10.1186/1471-2105-5-31. 4. Ucar,D., Beyer,A., Parthasarathy,S. and Workman,C.T. (2009) Predicting functionality of protein-DNA interactions by integrating diverse evidence. Bioinformatics, 25, i137–i144. 5. Liao,J., Boscolo,R., Yang,Y., Tran,L.M., Sabatti,C. and Roychowdhury,V.P. (2003) Network component analysis: reconstruction of regulatory signals in biological systems. PNAS, 100, 15522–15527. 6. Sabatti,C. and James,G.M. (2006) Bayesian sparse hidden components analysis for transcription regulation networks. Bioinformatics, 22, 739–746. 7. Sanguinetti,G., Lawrence,N.D. and Rattray,M. (2006) Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities. Bioinformatics, 22, 2775–2781. 8. Honkela,A., Girardot,C., Gustafson,E.H., Liu,Y.H., Furlong,E.E., Lawrence,N.D. and Rattray,M. (2010) Model-based method for transcription factor target identification with limited data. Proc. Natl Acad. Sci. USA, 107, 7793–7798. 9. Khanin,R., Vinciotti,V., Mersinias,V., Smith,C.P. and Wit,E. (2007) Statistical reconstruction of transcription factor activity using Michaelis-Menten kinetics. Biometrics, 63, 816–823. 10. Pournara,I. and Wernisch,L. (2007) Factor analysis for gene regulatory networks and transcription factor activity profiles. BMC Bioinformatics, 8, 61. 11. Martı´n,J.F. and Liras,P. (2010) Engineering of regulatory cascades and networks controlling antibiotic biosynthesis in Streptomyces. Curr. Opin. Microbiol., 13, 263–273. 12. Rokem,J.S., Lantz,A.E. and Nielsen,J. (2007) Systems biology of antibiotic production by microorganisms. Natural Prod. Rep., 24, 1262–1287. 13. Novotna,J., Vohradsky,J., Berndt,P., Gramajo,H., Langen,H., Li,X.M., Minas,W., Orsaria,L., Roeder,D. and Thompson,C.J. (2003) Proteomic studies of diauxic lag in the differentiating prokaryote Streptomyces coelicolor reveal a regulatory network of stress-induced proteins and central metabolic enzymes. Mol Microbiol., 48, 1289–1303. 14. Sola-Landa,A., Rodrı´guez-Garcı´a,A., Apel,A.K. and Martı´n,J.F. (2008) Target genes and structure of the direct repeats in the DNA-binding sequences of the response regulator PhoP in Streptomyces coelicolor. Nucleic Acids Res., 36, 1358–1368. 15. Rodrı´guez-Garcı´a,A., Sola-Landa,A., Apel,A.K., Santos-Beneit,F. and Martı´n,J.F. (2009) Phosphate control over nitrogen metabolism in Streptomyces coelicolor: direct and indirect negative control of glnR, glnA, glnII and amtB expression by the response regulator PhoP. Nucleic Acids Res., 37, 3230–3242. 16. Rodrı´guez-Garcı´a,A., Barreiro,C., Santos-Beneit,F., Sola-Landa,A. and Martı´n,J.F. (2007) Genome-wide transcriptomic and proteomic analysis of the primary response to phosphate limitation in Streptomyces coelicolor M145 and in a �phoP mutant. Proteomics, 7, 2410–2429. 17. Rigali,S., Titgemeyer,F., Barends,S., Mulder,S., Thomae,A.W., Hopwood,D.A. and van Wezel,G.P. (2008) Feast or famine: the global regulator DasR links nutrient stress to antibiotic production by Streptomyces. EMBO Rep., 9, 670–675. 18. Folcher,M., Gaillard,H., Nguyen,L.T., Nguyen,K.T., Lacroix,P., Bamas-Jacques,N., Rinkel,M. and Thompson,C.J. (2001) Pleiotropic functions of a Streptomyces pristinaespiralis autoregulator receptor in development, antibiotic biosynthesis, and expression of a superoxide dismutase. J. Biol. Chem., 276, 44297–44306. 19. Wietzorrek,A. and Bibb,M. (1997) A novel family of proteins that regulates antibiotic production in streptomycetes appears to contain an OmpR-like DNA-binding fold. Mol. Microbiol., 25, 1177–1184. 20. Sheldon,P.J., Busarow,S.B. and Hutchinson,C.R. (2002) Mapping the DNA-binding domain and target sequences of the Streptomyces peucetius daunorubicin biosynthesis regulatory protein, DnrI. Mol. Microbiol., 44, 449–460. 21. Paget,M.S., Kang,J.G., Roe,J.H. and Buttner,M.J. (1998) sRan RNA polymerase sigma factor that modulates expression of the thioredoxin system in response to oxidative stress in Streptomyces coelicolor A3(2). EMBO J., 17, 5776–5782. 22. Reuther,J. and Wohlleben,W. (2007) Nitrogen metabolism in Streptomyces coelicolor: transcriptional and post-translational regulation. J. Mol. Microbiol. Biotechnol., 12, 139–146. 23. Touzain,F., Schbath,S., Debled-Rennesson,I., Aigle,B., Kucherov,G. and Leblond,P. (2008) SIGffRid: a tool to search for sigma factor binding sites in bacterial genomes using comparative approach and biologically driven statistics. BMC Bioinformatics, 9, 73. 24. Studholme,D.J., Bentley,S.D. and Kormanec,J. (2004) Bioinformatic identification of novel regulatory DNA sequence motifs in Streptomyces coelicolor. BMC Microbiology, 4, 14. 25. Li,H., Rhodius,V., Gross,C. and Siggia,E.D. (2002) Identification of the binding sites of regulatory proteins in bacterial genomes. Proc. Natl. Acad. Sci. USA, 99, 11772–11777. 26. Robison,K., McGuire,A.M. and Church,G.M. (1998) A comprehensive library of DNA-binding site matrices for 55 proteins applied to the complete Escherichia coli K-12 genome. J. Mol. Biol., 284, 241–254. 27. Nieselt,K., Battke,F., Herbig,A., Bruheim,P., Wentzel,A., Jakobsen,Ø.M., Sletta,H., Alam,M.T., Merlo,M.E., Moore,J. et al. (2010) The dynamic architecture of the metabolic switch in Streptomyces coelicolor. BMC Genomics, 11, doi:10.1186/ 1471-2164-11-10. 28. Waldvogel,E., Herbig,A., Battke,F., Amin,R., Nentwich,M., Nieselt,K., Ellingsen,T.E., Wentzel,A., Hodgson,D.A., Wohlleben,W. et al. (2011) The PIIprotein GlnK is a pleiotropic regulator for morphological differentiation and secondary metabolism in Streptomyces coelicolor. Appl. Microbiol. Biotechnol., 92, 1219–1236. 29. Angelini,C., Cutillo,L., De Canditiis,D., Mutarelli,M. and Pensky,M. (2008) BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments. BMC Bioinformatics, 9, 145. 30. Heard,N.A., Holmes,C.C. and Stephens,D.A. (2006) A quantitative study of gene regulation involved in the immune response of Anopheline mosquitoes: an application of Bayesian hierarchical clustering of curves. J. Amer. Stat. Assoc., 101, 18–29. 31. Bentley,S.D., Chater,K.F., Cerden˜ o-Ta´ rraga,A.M., Challis,G.L., Thomson,N.R., James,K.D., Harris,D.E., Quail,M.A., Kieser,H., Harper,D. et al. (2002) Complete genome sequence of the model actinomycete Streptomyces coelicolor A3(2). Nature, 417, 141–147. 32. Charaniya,S., Mehra,S., Lian,W., Jayapal,K.P., Karypis,G. and Hu,W. (2007) Transcriptome dynamics-based operon prediction and verification in Streptomyces coelicolor. Nucleic Acids Res., 35, 7222–7236. 33. Kieser,T., Bibb,M.J., Buttner,M.J., Chater,K.F. and Hopwood,D.A. (2000) Practical Streptomyces Genetics.. John Innes Foundation, Norwich. 34. Barrell,D., Dimmer,E., Huntley,R.P., Binns,D., O’Donovan,C. and Apweiler,R. (2009) The GOA database in 2009–an integrated Gene Ontology Annotation resource. Nucleic Acids Res., 37, D396–D403. 35. Crooks,G.E., Hon,G., Chandonia,J.M. and Brenner,S.E. (2004) WebLogo: a sequence logo generator. Genome Res., 14, 1188–1190. 36. Bailey,T.L. and Elkan,C. (1994) Fitting a mixture model by expectation maximization to discover motifs in biopolymers. In: Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology.. AAAI Press, Menlo Park, California, pp. 28–36. 37. Mahony,S. and Benos,P.V. (2007) STAMP: a web tool for exploring DNA-binding motif similarities. Nucleic Acids Res., 35, W253–W258. 38. Barona-Go´ mez,F., Lautru,S., Francou,F.X., Leblond,P., Pernodet,J.L. and Challis,G.L. (2006) Multiple biosynthetic and uptake systems mediate siderophore-dependent iron acquisition in Streptomyces coelicolor A3(2) and Streptomyces ambofaciens ATCC 23877. Microbiology, 152, 3355–3366. 39. Kallifidas,D., Thomas,D., Doughty,P. and Paget,M.S.B. (2010) The sR regulon of Streptomyces coelicolor A3(2) reveals a key role in protein quality control during disulphide stress. Microbiology, 156, 1661–1672. 40. Schinko,E., Schad,K., Eys,S., Keller,U. and Wohlleben,W. (2009) Phosphinothricin-tripeptide biosynthesis: an original version of bacterial secondary metabolism? Phytochemistry, 70, 1787–1800. 41. Amir,A., Meshner,S., Beatus,T. and Stavans,J. (2010) Damped oscillations in the adaptive response of the iron homeostasis network of E. coli. Mol. Microbiol., 76, 428–436. 42. Hahn,J.S., Oh,S.Y. and Roe,J.H. (2000) Regulation of the furA and catC operon, encoding a ferric uptake regulator homologue and catalase-peroxidase, respectively, in Streptomyces coelicolor A3(2). J. Bacteriol., 182, 3767–3774. 43. Ko¨ rner,H., Sofia,H.J. and Zumft,W.G. (2003) Phylogeny of the bacterial superfamily of Crp-Fnr transcription regulators: exploiting the metabolic spectrum by controlling alternative gene programs. FEMS Microbiol. Rev., 27, 559–592. 44. Lian,W., Jayapal,K.P., Charaniya,S., Mehra,S., Glod,F., Kyung,Y.S., Sherman,D.H. and Hu,W.S. (2008) Genome-wide transcriptome analysis reveals that a pleiotropic antibiotic regulator, AfsS, modulates nutritional stress response in Streptomyces coelicolor A3(2). BMC Genomics, 9, 56. 45. Zwir,I., Huang,H. and Groisman,E.A. (2005) Analysis of differentially-regulated genes within a regulatory network by GPS genome navigation. Bioinformatics, 21, 4073–4083. 46. Okanishi,M., Suzuki,K. and Umezawa,H. (1974) Formation and reversion of streptomycetes protoplasts: cultural condition and morphological study. J. Gen. Micro., 80, 389–400. 47. Claessen,D., Rink,R., de Jong,W., Siebring,J., de Vreugd,P., Boersma,F.G., Dijkhuizen,L. and Wosten,H.A. (2003) A novel class of secreted hydrophobic proteins is involved in aerial hyphae formation in Streptomyces coelicolor by forming amyloid-like fibrils. Genes Dev., 17, 1714–1726. 48. Thompson,J.D., Higgins,D.G. and Gibson,T.J. (1994) CLUSTALW: improving the sensitivity of progressive multiple sequence alignments through sequence weighting, position specific gap penalties and weight matrix choice. Nucleic Acids Res., 22, 4673–4680. 49. Benjamini,Y. and Hochberg,Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Royal Stat. Soc. Series B (Methodological), 57, 289–300. 50. Gilks,W.R. and Roberts,G.O. (1996) Strategies for improving MCMC. In: Gilks,W.R., Richardson,S. and Spiegelhalter. (eds), Markov chain Monte Carlo in Practice.. Chapman and Hall, London, pp. 89–114. 51. Geyer,C.J. (1991) Markov chain Monte Carlo maximum likelihood. In: Keramidas. (ed.), Computing Science and Statistics: Proceedings of the 23rd Symposium on the Interface.. Interface Foundation, Fairfax Station, pp. 156–163. 52. Altekar,G., Dwarkadas,S., Huelsenbeck,J.P. and Ronquist,F. (2004) Parallel Metropolis coupled Markov chain Monte Carlo for Bayesian phylogenetic inference. Bioinformatics, 20, 407–415. 53. Patzer,S.I. and Hantke,K. (2000) The zinc-responsive regulator Zur and its control of the znu gene cluster encoding the ZnuABC zinc uptake system in Escherichia coli. J. Biol. Chem., 275, 24321–24332.
URI: http://wrap.warwick.ac.uk/id/eprint/48059

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