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Manipulating nucleosome disfavoring sequences allows fine-tune regulation of gene expression in yeast

Abstract

Understanding how precise control of gene expression is specified within regulatory DNA sequences is a key challenge with far-reaching implications. Many studies have focused on the regulatory role of transcription factor–binding sites. Here, we explore the transcriptional effects of different elements, nucleosome-disfavoring sequences and, specifically, poly(dA:dT) tracts that are highly prevalent in eukaryotic promoters. By measuring promoter activity for a large-scale promoter library, designed with systematic manipulations to the properties and spatial arrangement of poly(dA:dT) tracts, we show that these tracts significantly and causally affect transcription. We show that manipulating these elements offers a general genetic mechanism, applicable to promoters regulated by different transcription factors, for tuning expression in a predictable manner, with resolution that can be even finer than that attained by altering transcription factor sites. Overall, our results advance the understanding of the regulatory code and suggest a potential mechanism by which promoters yielding prespecified expression patterns can be designed.

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Figure 1: Schematic of library design, strain construction and promoter activity measurements.
Figure 2: Poly(dA:dT) tracts significantly affect the transcriptional outcome, likely by altering nucleosome organization.
Figure 3: The transcriptional effects of poly(dA:dT) tracts are evident in promoters regulated by different transcription factors, and its magnitude is inversely proportional to the affinity of the transcription factor site.
Figure 4: The transcriptional effects of poly(dA:dT) tracts depend on their distance from other promoter elements.
Figure 5: Changes to poly(dA:dT) tracts may allow tuning of expression levels with finer resolution than that allowed by changes to the transcription factor site.
Figure 6: A mechanistic model for transcription accounts for many of the transcriptional effects of poly(dA:dT) tracts.
Figure 7: Poly(dA:dT) tracts affect cell-to-cell expression variability.

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References

  1. Ptashne, M. & Gann, A. Genes and Signals (Cold Spring Harbor Laboratory Press, Cold Spring Harbor, New York, 2002).

  2. Kornberg, R.D. & Lorch, Y. Twenty-five years of the nucleosome, fundamental particle of the eukaryote chromosome. Cell 98, 285–294 (1999).

    Article  CAS  Google Scholar 

  3. Polach, K.J. & Widom, J. Mechanism of protein access to specific DNA sequences in chromatin: a dynamic equilibrium model for gene regulation. J. Mol. Biol. 254, 130–149 (1995).

    Article  CAS  Google Scholar 

  4. Kim, H.D. & O'Shea, E.K. A quantitative model of transcription factor–activated gene expression. Nat. Struct. Mol. Biol. 15, 1192–1198 (2008).

    Article  CAS  Google Scholar 

  5. Lam, F.H., Steger, D.J. & O'Shea, E.K. Chromatin decouples promoter threshold from dynamic range. Nature 453, 246–250 (2008).

    Article  CAS  Google Scholar 

  6. Liu, X., Lee, C.K., Granek, J.A., Clarke, N.D. & Lieb, J.D. Whole-genome comparison of Leu3 binding in vitro and in vivo reveals the importance of nucleosome occupancy in target site selection. Genome Res. 16, 1517–1528 (2006).

    Article  CAS  Google Scholar 

  7. Raveh-Sadka, T., Levo, M. & Segal, E. Incorporating nucleosomes into thermodynamic models of transcription regulation. Genome Res. 19, 1480–1496 (2009).

    Article  CAS  Google Scholar 

  8. Anderson, J.D. & Widom, J. Poly(dA-dT) promoter elements increase the equilibrium accessibility of nucleosomal DNA target sites. Mol. Cell. Biol. 21, 3830–3839 (2001).

    Article  CAS  Google Scholar 

  9. Segal, E. & Widom, J. Poly(dA:dT) tracts: major determinants of nucleosome organization. Curr. Opin. Struct. Biol. 19, 65–71 (2009).

    Article  CAS  Google Scholar 

  10. Kaplan, N. et al. The DNA-encoded nucleosome organization of a eukaryotic genome. Nature 458, 362–366 (2009).

    Article  CAS  Google Scholar 

  11. Yuan, G.C. et al. Genome-scale identification of nucleosome positions in S. cerevisiae. Science 309, 626–630 (2005).

    Article  CAS  Google Scholar 

  12. Zhang, Y. et al. Intrinsic histone-DNA interactions are not the major determinant of nucleosome positions in vivo. Nat. Struct. Mol. Biol. 16, 847–852 (2009).

    Article  CAS  Google Scholar 

  13. Dechering, K.J., Cuelenaere, K., Konings, R.N. & Leunissen, J.A. Distinct frequency-distributions of homopolymeric DNA tracts in different genomes. Nucleic Acids Res. 26, 4056–4062 (1998).

    Article  CAS  Google Scholar 

  14. Field, Y. et al. Distinct modes of regulation by chromatin encoded through nucleosome positioning signals. PLOS Comput. Biol. 4, e1000216 (2008).

    Article  Google Scholar 

  15. Iyer, V. & Struhl, K. Poly(dA:dT), a ubiquitous promoter element that stimulates transcription via its intrinsic DNA structure. EMBO J. 14, 2570–2579 (1995).

    Article  CAS  Google Scholar 

  16. Knutson, B.A. & Hahn, S. Domains of Tra1 important for activator recruitment and transcription coactivator functions of SAGA and NuA4 complexes. Mol. Cell. Biol. 31, 818–831 (2011).

    Article  CAS  Google Scholar 

  17. Kuo, M.H., vom Baur, E., Struhl, K. & Allis, C.D. Gcn4 activator targets Gcn5 histone acetyltransferase to specific promoters independently of transcription. Mol. Cell 6, 1309–1320 (2000).

    Article  CAS  Google Scholar 

  18. Zeevi, D. et al. Compensation for differences in gene copy number among yeast ribosomal proteins is encoded within their promoters. Genome Res. 21, 2114–2128 (2011).

    Article  CAS  Google Scholar 

  19. Fordyce, P.M. et al. De novo identification and biophysical characterization of transcription-factor binding sites with microfluidic affinity analysis. Nat. Biotechnol. 28, 970–975 (2010).

    Article  CAS  Google Scholar 

  20. Hill, D.E., Hope, I.A., Macke, J.P. & Struhl, K. Saturation mutagenesis of the yeast his3 regulatory site: requirements for transcriptional induction and for binding by GCN4 activator protein. Science 234, 451–457 (1986).

    Article  CAS  Google Scholar 

  21. Zhu, C. et al. High-resolution DNA-binding specificity analysis of yeast transcription factors. Genome Res. 19, 556–566 (2009).

    Article  CAS  Google Scholar 

  22. Yuan, G.C. & Liu, J.S. Genomic sequence is highly predictive of local nucleosome depletion. PLOS Comput. Biol. 4, e13 (2008).

    Article  Google Scholar 

  23. Sekinger, E.A., Moqtaderi, Z. & Struhl, K. Intrinsic histone-DNA interactions and low nucleosome density are important for preferential accessibility of promoter regions in yeast. Mol. Cell 18, 735–748 (2005).

    Article  CAS  Google Scholar 

  24. Miller, J.A. & Widom, J. Collaborative competition mechanism for gene activation in vivo. Mol. Cell. Biol. 23, 1623–1632 (2003).

    Article  CAS  Google Scholar 

  25. Kornberg, R.D. & Stryer, L. Statistical distributions of nucleosomes: nonrandom locations by a stochastic mechanism. Nucleic Acids Res. 16, 6677–6690 (1988).

    Article  CAS  Google Scholar 

  26. Beer, M.A. & Tavazoie, S. Predicting gene expression from sequence. Cell 117, 185–198 (2004).

    Article  CAS  Google Scholar 

  27. Bintu, L. et al. Transcriptional regulation by the numbers: models. Curr. Opin. Genet. Dev. 15, 116–124 (2005).

    Article  CAS  Google Scholar 

  28. Gertz, J., Siggia, E.D. & Cohen, B.A. Analysis of combinatorial cis-regulation in synthetic and genomic promoters. Nature 457, 215–218 (2009).

    Article  CAS  Google Scholar 

  29. Segal, E., Raveh-Sadka, T., Schroeder, M., Unnerstall, U. & Gaul, U. Predicting expression patterns from regulatory sequence in Drosophila segmentation. Nature 451, 535–540 (2008).

    Article  CAS  Google Scholar 

  30. Wasson, T. & Hartemink, A.J. An ensemble model of competitive multi-factor binding of the genome. Genome Res. 19, 2101–2112 (2009).

    Article  CAS  Google Scholar 

  31. MacIsaac, K.D. et al. An improved map of conserved regulatory sites for Saccharomyces cerevisiae. BMC Bioinformatics 7, 113 (2006).

    Article  Google Scholar 

  32. Zhu, C. et al. High-resolution DNA binding specificity analysis of yeast transcription factors. Genome Res. 19, 556–566 (2009).

    Article  CAS  Google Scholar 

  33. Bar-Even, A. et al. Noise in protein expression scales with natural protein abundance. Nat. Genet. 38, 636–643 (2006).

    Article  CAS  Google Scholar 

  34. Taniguchi, Y. et al. Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells. Science 329, 533–538 (2010).

    Article  CAS  Google Scholar 

  35. Bai, L., Charvin, G., Siggia, E.D. & Cross, F.R. Nucleosome-depleted regions in cell-cycle-regulated promoters ensure reliable gene expression in every cell cycle. Dev. Cell 18, 544–555 (2010).

    Article  CAS  Google Scholar 

  36. Raser, J.M. & O'Shea, E.K. Control of stochasticity in eukaryotic gene expression. Science 304, 1811–1814 (2004).

    Article  CAS  Google Scholar 

  37. Cai, L., Friedman, N. & Xie, X.S. Stochastic protein expression in individual cells at the single molecule level. Nature 440, 358–362 (2006).

    Article  CAS  Google Scholar 

  38. Friedman, N., Cai, L. & Xie, X.S. Linking stochastic dynamics to population distribution: an analytical framework of gene expression. Phys. Rev. Lett. 97, 168302 (2006).

    Article  Google Scholar 

  39. Ercan, S., Lubling, Y., Segal, E. & Lieb, J.D. High nucleosome occupancy is encoded at X-linked gene promoters in C. elegans. Genome Res. 21, 237–244 (2011).

    Article  CAS  Google Scholar 

  40. Chen, W. & Struhl, K. Saturation mutagenesis of a yeast his3 “TATA element”: genetic evidence for a specific TATA-binding protein. Proc. Natl. Acad. Sci. USA 85, 2691–2695 (1988).

    Article  CAS  Google Scholar 

  41. Ben Yehezkel, T. et al. De novo DNA synthesis using single molecule PCR. Nucleic Acids Res. 36, e107 (2008).

    Article  Google Scholar 

  42. Linshiz, G. et al. Recursive construction of perfect DNA molecules from imperfect oligonucleotides. Mol. Syst. Biol. 4, 191 (2008).

    Article  Google Scholar 

  43. Shabi, U. et al. Processing DNA molecules as text. Syst. Synth. Biol. 4, 227–236 (2010).

    Article  Google Scholar 

  44. Gietz, R.D. & Schiestl, R.H. Microtiter plate transformation using the LiAc/SS carrier DNA/PEG method. Nat. Protoc. 2, 5–8 (2007).

    Article  CAS  Google Scholar 

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Acknowledgements

We wish to dedicate this paper to Jon Widom who inspired and assisted us greatly throughout this project. This work was supported by grants from the European Research Council (ERC) and the US National Institutes of Health (NIH) to E. Segal. E. Segal is the incumbent of the Soretta and Henry Shapiro career development chair. T.R.-S. and M.L. thank the Azrieli Foundation for the award of an Azrieli Fellowship. We thank G. Hornung for his help with the analysis of flow cytometry measurements and E. Mochly for his help with the preparation of Supplementary Figure 9.

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Contributions

T.R.-S., M.L. and E. Segal conceived the project, designed promoter variants and analyzed the data. T.R.-S., M.L., A.W. and E. Segal planned all experiments. D.Z. and A.W. developed protocols for robotic strain assembly and activity measurements. D.Z., U.S. and M.L.-P. constructed the master strain. U.S. participated in the design of the variants, constructed the majority of variants and, together with M.L.-P., constructed strains. T.R.-S. and M.L. performed expression measurements. B.S. performed nucleosome occupancy measurements. L.K. participated in expression measurements and in their initial analysis. E. Sharon, together with T.R.-S., M.L. and L.K., developed the analysis pipeline. T.R.-S., M.L. and E. Segal wrote the manuscript. A.W. and E. Segal supervised and guided the research.

Corresponding authors

Correspondence to Adina Weinberger or Eran Segal.

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The authors declare no competing financial interests.

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Supplementary Figures 1–11, Supplementary Tables 1–5 and Supplementary Note (PDF 810 kb)

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Raveh-Sadka, T., Levo, M., Shabi, U. et al. Manipulating nucleosome disfavoring sequences allows fine-tune regulation of gene expression in yeast. Nat Genet 44, 743–750 (2012). https://doi.org/10.1038/ng.2305

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