IDEAS home Printed from https://ideas.repec.org/a/plo/pcbi00/1000175.html
   My bibliography  Save this article

Preferentially Quantized Linker DNA Lengths in Saccharomyces cerevisiae

Author

Listed:
  • Ji-Ping Wang
  • Yvonne Fondufe-Mittendorf
  • Liqun Xi
  • Guei-Feng Tsai
  • Eran Segal
  • Jonathan Widom

Abstract

The exact lengths of linker DNAs connecting adjacent nucleosomes specify the intrinsic three-dimensional structures of eukaryotic chromatin fibers. Some studies suggest that linker DNA lengths preferentially occur at certain quantized values, differing one from another by integral multiples of the DNA helical repeat, ∼10 bp; however, studies in the literature are inconsistent. Here, we investigate linker DNA length distributions in the yeast Saccharomyces cerevisiae genome, using two novel methods: a Fourier analysis of genomic dinucleotide periodicities adjacent to experimentally mapped nucleosomes and a duration hidden Markov model applied to experimentally defined dinucleosomes. Both methods reveal that linker DNA lengths in yeast are preferentially periodic at the DNA helical repeat (∼10 bp), obeying the forms 10n+5 bp (integer n). This 10 bp periodicity implies an ordered superhelical intrinsic structure for the average chromatin fiber in yeast.Author Summary: Eukaryotic genomic DNA exists as chromatin, with the DNA wrapped locally into a repeating array of protein–DNA complexes (“nucleosomes”) separated by short stretches of unwrapped “linker” DNA. Nucleosome arrays further compact into ∼30-nm-wide higher-order chromatin structures. Despite decades of work, there remains no agreement about the structure of the 30 nm fiber, or even if the structure is ordered or random. The helical symmetry of DNA couples the one-dimensional distribution of nucleosomes along the DNA to an intrinsic three-dimensional structure for the chromatin fiber. Random linker length distributions imply random three-dimensional intrinsic fiber structures, whereas different possible nonrandom length distributions imply different ordered structures. Here we use two independent computational methods, with two independent kinds of experimental data, to experimentally define the probability distribution of linker DNA lengths in yeast. Both methods agree that linker DNA lengths in yeast come in a set of preferentially quantized lengths that differ one from another by ∼10 bp, the DNA helical repeat, with a preferred phase offset of 5 bp. The preferential quantization of lengths implies that the intrinsic three-dimensional structure for the average chromatin fiber is ordered, not random. The 5 bp offset implies a particular geometry for this intrinsic structure.

Suggested Citation

  • Ji-Ping Wang & Yvonne Fondufe-Mittendorf & Liqun Xi & Guei-Feng Tsai & Eran Segal & Jonathan Widom, 2008. "Preferentially Quantized Linker DNA Lengths in Saccharomyces cerevisiae," PLOS Computational Biology, Public Library of Science, vol. 4(9), pages 1-10, September.
  • Handle: RePEc:plo:pcbi00:1000175
    DOI: 10.1371/journal.pcbi.1000175
    as

    Download full text from publisher

    File URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000175
    Download Restriction: no

    File URL: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000175&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pcbi.1000175?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Istvan Albert & Travis N. Mavrich & Lynn P. Tomsho & Ji Qi & Sara J. Zanton & Stephan C. Schuster & B. Franklin Pugh, 2007. "Translational and rotational settings of H2A.Z nucleosomes across the Saccharomyces cerevisiae genome," Nature, Nature, vol. 446(7135), pages 572-576, March.
    2. Thomas Schalch & Sylwia Duda & David F. Sargent & Timothy J. Richmond, 2005. "X-ray structure of a tetranucleosome and its implications for the chromatin fibre," Nature, Nature, vol. 436(7047), pages 138-141, July.
    3. Eran Segal & Yvonne Fondufe-Mittendorf & Lingyi Chen & AnnChristine Thåström & Yair Field & Irene K. Moore & Ji-Ping Z. Wang & Jonathan Widom, 2006. "A genomic code for nucleosome positioning," Nature, Nature, vol. 442(7104), pages 772-778, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zing Tsung-Yeh Tsai & Shin-Han Shiu & Huai-Kuang Tsai, 2015. "Contribution of Sequence Motif, Chromatin State, and DNA Structure Features to Predictive Models of Transcription Factor Binding in Yeast," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-22, August.
    2. Wolfram Möbius & Ulrich Gerland, 2010. "Quantitative Test of the Barrier Nucleosome Model for Statistical Positioning of Nucleosomes Up- and Downstream of Transcription Start Sites," PLOS Computational Biology, Public Library of Science, vol. 6(8), pages 1-11, August.
    3. Guo-Cheng Yuan & Jun S Liu, 2008. "Genomic Sequence Is Highly Predictive of Local Nucleosome Depletion," PLOS Computational Biology, Public Library of Science, vol. 4(1), pages 1-11, January.
    4. Harsh Nagpal & Ahmad Ali-Ahmad & Yasuhiro Hirano & Wei Cai & Mario Halic & Tatsuo Fukagawa & Nikolina Sekulić & Beat Fierz, 2023. "CENP-A and CENP-B collaborate to create an open centromeric chromatin state," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    5. Shuxiang Li & Tiejun Wei & Anna R. Panchenko, 2023. "Histone variant H2A.Z modulates nucleosome dynamics to promote DNA accessibility," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    6. Alexander W. Blocker & Edoardo M. Airoldi, 2016. "Template-Based Models for Genome-Wide Analysis of Next-Generation Sequencing Data at Base-Pair Resolution," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 967-987, July.
    7. Segal Mark R, 2008. "Re-Cracking the Nucleosome Positioning Code," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-24, April.
    8. Moser Carlee & Gupta Mayetri, 2012. "A Generalized Hidden Markov Model for Determining Sequence-based Predictors of Nucleosome Positioning," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(2), pages 1-23, January.
    9. Monica Naughtin & Zofia Haftek-Terreau & Johan Xavier & Sam Meyer & Maud Silvain & Yan Jaszczyszyn & Nicolas Levy & Vincent Miele & Mohamed Salah Benleulmi & Marc Ruff & Vincent Parissi & Cédric Vaill, 2015. "DNA Physical Properties and Nucleosome Positions Are Major Determinants of HIV-1 Integrase Selectivity," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-28, June.
    10. Anthony Mathelier & Wyeth W Wasserman, 2013. "The Next Generation of Transcription Factor Binding Site Prediction," PLOS Computational Biology, Public Library of Science, vol. 9(9), pages 1-18, September.
    11. Zhen Hou & Frank Nightingale & Yanan Zhu & Craig MacGregor-Chatwin & Peijun Zhang, 2023. "Structure of native chromatin fibres revealed by Cryo-ET in situ," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    12. Francesca Maggioni & Marida Bertocchi & Ettore Mosca & Rolland Reinbold & Ileana Zucchi, 2013. "Modeling chromatin fibre folding for human embryonic stem cells," Working Papers (2013-) 1301_qum, University of Bergamo, Department of Management, Economics and Quantitative Methods.
    13. Leelavati Narlikar & Raluca Gordân & Alexander J Hartemink, 2007. "A Nucleosome-Guided Map of Transcription Factor Binding Sites in Yeast," PLOS Computational Biology, Public Library of Science, vol. 3(11), pages 1-10, November.
    14. Matti Annala & Kirsti Laurila & Harri Lähdesmäki & Matti Nykter, 2011. "A Linear Model for Transcription Factor Binding Affinity Prediction in Protein Binding Microarrays," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-13, May.
    15. Rina Hirano & Haruhiko Ehara & Tomoya Kujirai & Tamami Uejima & Yoshimasa Takizawa & Shun-ichi Sekine & Hitoshi Kurumizaka, 2022. "Structural basis of RNA polymerase II transcription on the chromatosome containing linker histone H1," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    16. Wei Chen & Hao Lin & Peng-Mian Feng & Chen Ding & Yong-Chun Zuo & Kuo-Chen Chou, 2012. "iNuc-PhysChem: A Sequence-Based Predictor for Identifying Nucleosomes via Physicochemical Properties," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-9, October.
    17. Uwe Schneider & Fabiano Vasi & Jürgen Besserer, 2016. "The Impact of the Geometrical Structure of the DNA on Parameters of the Track-Event Theory for Radiation Induced Cell Kill," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-13, October.
    18. Joke J F A van Vugt & Martijn de Jager & Magdalena Murawska & Alexander Brehm & John van Noort & Colin Logie, 2009. "Multiple Aspects of ATP-Dependent Nucleosome Translocation by RSC and Mi-2 Are Directed by the Underlying DNA Sequence," PLOS ONE, Public Library of Science, vol. 4(7), pages 1-14, July.
    19. Meng Zhang & César Díaz-Celis & Jianfang Liu & Jinhui Tao & Paul D. Ashby & Carlos Bustamante & Gang Ren, 2024. "Angle between DNA linker and nucleosome core particle regulates array compaction revealed by individual-particle cryo-electron tomography," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    20. Fang Liu & Eivind Tøstesen & Jostein K Sundet & Tor-Kristian Jenssen & Christoph Bock & Geir Ivar Jerstad & William G Thilly & Eivind Hovig, 2007. "The Human Genomic Melting Map," PLOS Computational Biology, Public Library of Science, vol. 3(5), pages 1-13, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1000175. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.