Probing the Informational and Regulatory Plasticity of a Transcription Factor DNA–Binding Domain
Transcription factors have two functional constraints on their evolution:
(1) their binding sites must have enough information to be distinguishable from all other sequences in the genome, and (2) they must bind these sites with an affinity that appropriately modulates the rate of transcription. Since both are determined by the biophysical properties of the DNA–binding domain, selection on one will ultimately affect the other. We were interested in understanding how plastic the informational and regulatory properties of a transcription factor are and how transcription factors evolve to balance these constraints. To study this, we developed an in vivo selection system in Escherichia coli to identify variants of the helix-turn-helix transcription factor MarA that bind different sets of binding sites with varying degrees of degeneracy. Unlike previous in vitro methods used to identify novel DNA binders and to probe the plasticity of the binding domain, our selections were done within the context of the initiation complex, selecting for both specific binding within the genome and for a physiologically significant strength of interaction to maintain function of the factor. Using MITOMI, quantitative PCR, and a binding site fitness assay, we characterized the binding, function, and fitness of some of these variants. We observed that a large range of binding preferences, information contents, and activities could be accessed with a few mutations, suggesting that transcriptional regulatory networks are highly adaptable and expandable.
Vyšlo v časopise:
Probing the Informational and Regulatory Plasticity of a Transcription Factor DNA–Binding Domain. PLoS Genet 8(3): e32767. doi:10.1371/journal.pgen.1002614
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pgen.1002614
Souhrn
Transcription factors have two functional constraints on their evolution:
(1) their binding sites must have enough information to be distinguishable from all other sequences in the genome, and (2) they must bind these sites with an affinity that appropriately modulates the rate of transcription. Since both are determined by the biophysical properties of the DNA–binding domain, selection on one will ultimately affect the other. We were interested in understanding how plastic the informational and regulatory properties of a transcription factor are and how transcription factors evolve to balance these constraints. To study this, we developed an in vivo selection system in Escherichia coli to identify variants of the helix-turn-helix transcription factor MarA that bind different sets of binding sites with varying degrees of degeneracy. Unlike previous in vitro methods used to identify novel DNA binders and to probe the plasticity of the binding domain, our selections were done within the context of the initiation complex, selecting for both specific binding within the genome and for a physiologically significant strength of interaction to maintain function of the factor. Using MITOMI, quantitative PCR, and a binding site fitness assay, we characterized the binding, function, and fitness of some of these variants. We observed that a large range of binding preferences, information contents, and activities could be accessed with a few mutations, suggesting that transcriptional regulatory networks are highly adaptable and expandable.
Zdroje
1. SchneiderTDStormoGDGoldLEhrenfeuchtA 1986 Information content of binding sites on nucleotide sequences. J Mol Biol 188 415 431
2. ItzkovitzSTlustyTAlonU 2006 Coding limits on the number of transcription factors. BMC genomics 7 239
3. PaboCOPeisachEGrantRA 2001 Design and selection of novel Cys2His2 zinc finger proteins. Annu Rev Biochem 70 313 340
4. BenosPVLapedesASStormoGD 2002 Probabilistic code for DNA recognition by proteins of the EGR family. J Mol Biol 323 701 727
5. MaerklSQuakeS 2009 Experimental determination of the evolvability of a transcription factor. Proceedings of the National Academy of Sciences 106 18650
6. PaboCONekludovaL 2000 Geometric analysis and comparison of protein-DNA interfaces: why is there no simple code for recognition? J Mol Biol 301 597 624
7. von HippelPHBergOG 1986 On the specificity of DNA-protein interactions. Proc Natl Acad Sci USA 83 1608 1612
8. MaerklSJQuakeSR 2007 A systems approach to measuring the binding energy landscapes of transcription factors. Science 315 233 237
9. ShultzabergerRKRobertsLRLyakhovIGSidorovIAStephenAG 2007 Correlation between binding rate constants and individual information of E. coli Fis binding sites. Nucleic Acids Res 35 5275 5283
10. ShannonCE 1948 A Mathematical Theory of Communication. Bell System Tech J 27 379 423 623–656
11. SchneiderTD 2000 Evolution of biological information. Nucleic Acids Res 28 2794 2799
12. SenguptaADjordjevicMShraimanB 2002 Specificity and robustness in transcription control networks. Proceedings of the National Academy of Sciences of the United States of America 99 2072
13. WunderlichZMirnyL 2009 Different gene regulation strategies revealed by analysis of binding motifs. Trends in genetics 25 434 440
14. ShultzabergerRKChiangDYMosesAMEisenMB 2007 Determining physical constraints in transcriptional initiation complexes using DNA sequence analysis. PLoS ONE 2 e1199 doi:10.1371/journal.pone.0001199
15. LemonBTjianR 2000 Orchestrated response: a symphony of transcription factors for gene control. Genes & development 14 2551 2569
16. McClureWR 1985 Mechanism and control of transcription initiation in prokaryotes. Annu Rev Biochem 54 171 204
17. BintuLBuchlerNGarciaHGerlandUHwaT 2005 Transcriptional regulation by the numbers: models. Current opinion in genetics & development 15 116 124
18. ShultzabergerRKChenZLewisKASchneiderTD 2007 Anatomy of Escherichia coli σ70 promoters. Nucleic Acids Res 35 771 788
19. ShultzabergerRMalashockDKirschJEisenM 2010 The Fitness Landscapes of cis-Acting Binding Sites in Different Promoter and Environmental Contexts. PLoS Genet 6 e1001042 doi:10.1371/journal.pgen.1001042
20. MustonenVKinneyJCallanCLassigM 2008 Energy-dependent fitness: A quantitative model for the evolution of yeast transcription factor binding sites. Proceedings of the National Academy of Sciences 105 12376
21. DekelEAlonU 2005 Optimality and evolutionary tuning of the expression level of a protein. Nature 436 588 592
22. GerlandUHwaT 2002 On the selection and evolution of regulatory DNA motifs. Journal of molecular evolution 55 386 400
23. MartinRGRosnerJL 2001 The AraC transcriptional activators. Curr Opin Microbiol 4 132 137
24. MartinRGGilletteWKRheeSRosnerJL 1999 Structural requirements for marbox function in transcriptional activation of mar/sox/rob regulon promoters in Escherichia coli: sequence, orientation and spatial relationship to the core promoter. Mol Microbiol 34 431 441
25. MartinRGRosnerJL 2002 Genomics of the marA/soxS/rob regulon of Escherichia coli: identification of directly activated promoters by application of molecular genetics and informatics to microarray data. Mol Microbiol 44 1611 1624
26. SchneidersTBarbosaTMMcMurryLMLevySB 2004 The Escherichia coli transcriptional regulator MarA directly represses transcription of purA and hdeA. J Biol Chem 279 9037 9042
27. AlekshunMLevyS 1999 The mar regulon: multiple resistance to antibiotics and other toxic chemicals. Trends in Microbiology 7 410 413
28. RheeSMartinRGRosnerJLDaviesDR 1998 A novel DNA-binding motif in MarA: the first structure for an AraC family transcriptional activator. Proc Natl Acad Sci U S A 95 10413 10418
29. DangiBPelupesseyPMartinRGRosnerJLLouisJM 2001 Structure and dynamics of MarA-DNA complexes: an NMR investigation. J Mol Biol 314 113 127
30. MartinRRosnerJ 2002 Genomics of the marA/soxS/rob regulon of Escherichia coli: identification of directly activated promoters by application of molecular genetics and informatics to microarray data. Molecular Microbiology 44 1611 1624
31. SchneiderTD 1996 Reading of DNA sequence logos: Prediction of major groove binding by information theory. Meth Enzym 274 445 455
32. SchneiderTD 2001 Strong minor groove base conservation in sequence logos implies DNA distortion or base flipping during replication and transcription initiation. Nucleic Acids Res 29 4881 4891
33. GilletteWKMartinRGRosnerJL 2000 Probing the Escherichia coli transcriptional activator MarA using alanine-scanning mutagenesis: residues important for DNA binding and activation. J Mol Biol 299 1245 1255
34. GriffithKLWolfREJr 2004 Genetic evidence for pre-recruitment as the mechanism of transcription activation by SoxS of Escherichia coli : the dominance of DNA binding mutations of SoxS. J Mol Biol 344 1 10
35. McmurryLOethingerMLevyS 1998 Overexpression of marA, soxS, or acrAB produces resistance to triclosan in laboratory and clinical strains of Escherichia coli. FEMS Microbiology Letters 166 305 309
36. OkusuHMaDNikaidoH 1996 AcrAB efflux pump plays a major role in the antibiotic resistance phenotype of Escherichia coli multiple-antibiotic-resistance (Mar) mutants. Journal of Bacteriology 178 306 308
37. AltschulSGishWMillerWMyersELipmanD 1990 Basic local alignment search tool. J mol Biol 215 403 410
38. LarkinMBlackshieldsGBrownNChennaRMcGettiganP 2007 Clustal W and Clustal X version 2.0. Bioinformatics 23 2947
39. SchneiderTDStephensRM 1990 Sequence logos: A new way to display consensus sequences. Nucleic Acids Res 18 6097 6100
40. SimonMDSatoKWeissGAShokatKM 2004 A phage display selection of engrailed homeodomain mutants and the importance of residue Q50. Nucleic Acids Res 32 3623 3631
41. EisenMSpellmanPBrownPBotsteinD 1998 Cluster analysis and display of genome-wide expression patterns
42. WorkmanCYinYCorcoranDIdekerTStormoG 2005 enoLOGOS: a versatile web tool for energy normalized sequence logos. Nucleic acids research 33 W389
43. SchonesDSumazinPZhangM 2005 Similarity of position frequency matrices for transcription factor binding sites. Bioinformatics 21 307 313
44. SchneiderTD 1997 Information content of individual genetic sequences. J Theor Biol 189 427 441
45. BenosPVBulykMLStormoGD 2002 Additivity in protein-DNA interactions: how good an approximation is it? Nucleic Acids Res 30 4442 4451
46. KingMWilsonA 1975 Evolution at two levels in humans and chimpanzees. Science 188 107 116
47. CarrollS 2005 Evolution at two levels: on genes and form. PLoS Biol 3 e245 doi:10.1371/journal.pbio.0030245
48. AlperHMoxleyJNevoigtEFinkGStephanopoulosG 2006 Engineering yeast transcription machinery for improved ethanol tolerance and production. Science 314 1565
49. TeichmannSBabuM 2004 Gene regulatory network growth by duplication. Nature Genetics 36 492 496
50. Madan BabuMTeichmannS 2003 Evolution of transcription factors and the gene regulatory network in Escherichia coli. Nucleic Acids Research 31 1234
51. SlutskyMMirnyL 2004 Kinetics of protein-DNA interaction: facilitated target location in sequence-dependent potential. Biophysical journal 87 4021 4035
52. GerlandUMorozJHwaT 2002 Physical constraints and functional characteristics of transcription factor–DNA interaction. Proceedings of the National Academy of Sciences of the United States of America 99 12015
53. BergJWillmannSLässigM 2004 Adaptive evolution of transcription factor binding sites. BMC Evolutionary Biology 4 42
54. ZhengLBaumannUReymondJ 2004 An efficient one-step site-directed and site-saturation mutagenesis protocol. Nucleic acids research 32 e115
Štítky
Genetika Reprodukčná medicínaČlánok vyšiel v časopise
PLOS Genetics
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