A deformation energy-based model for predicting nucleosome dyads and occupancy

Sci Rep. 2016 Apr 7:6:24133. doi: 10.1038/srep24133.

Abstract

Nucleosome plays an essential role in various cellular processes, such as DNA replication, recombination, and transcription. Hence, it is important to decode the mechanism of nucleosome positioning and identify nucleosome positions in the genome. In this paper, we present a model for predicting nucleosome positioning based on DNA deformation, in which both bending and shearing of the nucleosomal DNA are considered. The model successfully predicted the dyad positions of nucleosomes assembled in vitro and the in vitro map of nucleosomes in Saccharomyces cerevisiae. Applying the model to Caenorhabditis elegans and Drosophila melanogaster, we achieved satisfactory results. Our data also show that shearing energy of nucleosomal DNA outperforms bending energy in nucleosome occupancy prediction and the ability to predict nucleosome dyad positions is attributed to bending energy that is associated with rotational positioning of nucleosomes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Animals
  • Caenorhabditis elegans / genetics
  • Computational Biology / methods
  • DNA / chemistry*
  • DNA / genetics
  • DNA / metabolism
  • DNA, Fungal / chemistry
  • DNA, Fungal / genetics
  • DNA, Fungal / metabolism
  • Dimerization
  • Drosophila melanogaster / genetics
  • Models, Chemical*
  • Nucleic Acid Conformation
  • Nucleosomes / chemistry*
  • Nucleosomes / metabolism
  • Reproducibility of Results
  • Saccharomyces cerevisiae / genetics
  • Thermodynamics*

Substances

  • DNA, Fungal
  • Nucleosomes
  • DNA