A one-dimensional statistical mechanics model for nucleosome positioning on genomic DNA

S. Tesoro, I. Ali, A. N. Morozov, N. Sulaiman, D. Marenduzzo

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The first level of folding of DNA in eukaryotes is provided by the so-called '10 nm chromatin fibre', where DNA wraps around histone proteins (∼10 nm in size) to form nucleosomes, which go on to create a zig-zagging bead-on-a-string structure. In this work we present a one-dimensional statistical mechanics model to study nucleosome positioning within one such 10 nm fibre. We focus on the case of genomic sheep DNA, and we start from effective potentials valid at infinite dilution and determined from high-resolution in vitro salt dialysis experiments. We study positioning within a polynucleosome chain, and compare the results for genomic DNA to that obtained in the simplest case of homogeneous DNA, where the problem can be mapped to a Tonks gas [1]. First, we consider the simple, analytically solvable, case where nucleosomes are assumed to be point-like. Then, we perform numerical simulations to gauge the effect of their finite size on the nucleosomal distribution probabilities. Finally we compare nucleosome distributions and simulated nuclease digestion patterns for the two cases (homogeneous and sheep DNA), thereby providing testable predictions of the effect of sequence on experimentally observable quantities in experiments on polynucleosome chromatin fibres reconstituted in vitro.

Original languageEnglish
Article number016004
JournalPhysical Biology
Volume13
Issue number1
DOIs
Publication statusPublished - Feb 12 2016

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Nucleosomes
Statistical Models
Mechanics
DNA
Chromatin
Sheep
Eukaryota
Histones
Dialysis
Digestion
Salts
Gases
Proteins

Keywords

  • chromatin
  • nucleosomes
  • statistical physics

ASJC Scopus subject areas

  • Biophysics
  • Molecular Biology
  • Cell Biology
  • Structural Biology

Cite this

A one-dimensional statistical mechanics model for nucleosome positioning on genomic DNA. / Tesoro, S.; Ali, I.; Morozov, A. N.; Sulaiman, N.; Marenduzzo, D.

In: Physical Biology, Vol. 13, No. 1, 016004, 12.02.2016.

Research output: Contribution to journalArticle

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