Literature DB >> 23784778

Fitness landscape for nucleosome positioning.

Donate Weghorn1, Michael Lässig.   

Abstract

Histone-DNA complexes, so-called nucleosomes, are the building blocks of DNA packaging in eukaryotic cells. The histone-binding affinity of a local DNA segment depends on its elastic properties and determines its accessibility within the nucleus, which plays an important role in the regulation of gene expression. Here, we derive a fitness landscape for intergenic DNA segments in yeast as a function of two molecular phenotypes: their elasticity-dependent histone affinity and their coverage with transcription factor binding sites. This landscape reveals substantial selection against nucleosome formation over a wide range of both phenotypes. We use it as the core component of a quantitative evolutionary model for intergenic DNA segments. This model consistently predicts the observed diversity of histone affinities within wild Saccharomyces paradoxus populations, as well as the affinity divergence between neighboring Saccharomyces species. Our analysis establishes histone binding and transcription factor binding as two separable modes of sequence evolution, each of which is a direct target of natural selection.

Entities:  

Keywords:  biophysics; evolution of regulation; inference of selection; nucleosome-depleted regions; quantitative traits

Mesh:

Substances:

Year:  2013        PMID: 23784778      PMCID: PMC3704022          DOI: 10.1073/pnas.1210887110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

Review 1.  Role of DNA sequence in nucleosome stability and dynamics.

Authors:  J Widom
Journal:  Q Rev Biophys       Date:  2001-08       Impact factor: 5.318

2.  Sequence motifs and free energies of selected natural and non-natural nucleosome positioning DNA sequences.

Authors:  A Thåström; P T Lowary; H R Widlund; H Cao; M Kubista; J Widom
Journal:  J Mol Biol       Date:  1999-04-30       Impact factor: 5.469

3.  Genome-scale identification of nucleosome positions in S. cerevisiae.

Authors:  Guo-Cheng Yuan; Yuen-Jong Liu; Michael F Dion; Michael D Slack; Lani F Wu; Steven J Altschuler; Oliver J Rando
Journal:  Science       Date:  2005-06-16       Impact factor: 47.728

4.  Experiments confirm the influence of genome long-range correlations on nucleosome positioning.

Authors:  C Vaillant; B Audit; A Arneodo
Journal:  Phys Rev Lett       Date:  2007-11-21       Impact factor: 9.161

5.  Energy-dependent fitness: a quantitative model for the evolution of yeast transcription factor binding sites.

Authors:  Ville Mustonen; Justin Kinney; Curtis G Callan; Michael Lässig
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-22       Impact factor: 11.205

6.  Crystal structure of the nucleosome core particle at 2.8 A resolution.

Authors:  K Luger; A W Mäder; R K Richmond; D F Sargent; T J Richmond
Journal:  Nature       Date:  1997-09-18       Impact factor: 49.962

7.  A high-resolution atlas of nucleosome occupancy in yeast.

Authors:  William Lee; Desiree Tillo; Nicolas Bray; Randall H Morse; Ronald W Davis; Timothy R Hughes; Corey Nislow
Journal:  Nat Genet       Date:  2007-09-16       Impact factor: 38.330

8.  Divergence of nucleosome positioning between two closely related yeast species: genetic basis and functional consequences.

Authors:  Itay Tirosh; Nadejda Sigal; Naama Barkai
Journal:  Mol Syst Biol       Date:  2010-05-11       Impact factor: 11.429

9.  Quantitative test of the barrier nucleosome model for statistical positioning of nucleosomes up- and downstream of transcription start sites.

Authors:  Wolfram Möbius; Ulrich Gerland
Journal:  PLoS Comput Biol       Date:  2010-08-19       Impact factor: 4.475

10.  Dynamic remodeling of individual nucleosomes across a eukaryotic genome in response to transcriptional perturbation.

Authors:  Sushma Shivaswamy; Akshay Bhinge; Yongjun Zhao; Steven Jones; Martin Hirst; Vishwanath R Iyer
Journal:  PLoS Biol       Date:  2008-03-18       Impact factor: 8.029

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  2 in total

1.  Central dogma rates and the trade-off between precision and economy in gene expression.

Authors:  Jean Hausser; Avi Mayo; Leeat Keren; Uri Alon
Journal:  Nat Commun       Date:  2019-01-08       Impact factor: 14.919

2.  Increasing Nucleosome Occupancy Is Correlated with an Increasing Mutation Rate so Long as DNA Repair Machinery Is Intact.

Authors:  Puya G Yazdi; Brian A Pedersen; Jared F Taylor; Omar S Khattab; Yu-Han Chen; Yumay Chen; Steven E Jacobsen; Ping H Wang
Journal:  PLoS One       Date:  2015-08-26       Impact factor: 3.240

  2 in total

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