Literature DB >> 26857665

Characterization of DNA methylation as a function of biological complexity via dinucleotide inter-distances.

Giulia Paci1, Giampaolo Cristadoro2, Barbara Monti3, Marco Lenci4, Mirko Degli Esposti2, Gastone C Castellani5, Daniel Remondini6.   

Abstract

We perform a statistical study of the distances between successive occurrences of a given dinucleotide in the DNA sequence for a number of organisms of different complexity. Our analysis highlights peculiar features of the CG dinucleotide distribution in mammalian DNA, pointing towards a connection with the role of such dinucleotide in DNA methylation. While the CG distributions of mammals exhibit exponential tails with comparable parameters, the picture for the other organisms studied (e.g. fish, insects, bacteria and viruses) is more heterogeneous, possibly because in these organisms DNA methylation has different functional roles. Our analysis suggests that the distribution of the distances between CG dinucleotides provides useful insights into characterizing and classifying organisms in terms of methylation functionalities.
© 2016 The Author(s).

Entities:  

Keywords:  DNA sequence; first return times; stochastic processes

Mesh:

Substances:

Year:  2016        PMID: 26857665     DOI: 10.1098/rsta.2015.0227

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  3 in total

1.  DNA as information: at the crossroads between biology, mathematics, physics and chemistry.

Authors:  Julyan H E Cartwright; Simone Giannerini; Diego L González
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-03-13       Impact factor: 4.226

2.  Distinguishing Functional DNA Words; A Method for Measuring Clustering Levels.

Authors:  Hanieh Moghaddasi; Khosrow Khalifeh; Amir Hossein Darooneh
Journal:  Sci Rep       Date:  2017-01-27       Impact factor: 4.379

3.  Statistical modelling of CG interdistance across multiple organisms.

Authors:  Merlotti A; Faria do Valle I; Castellani G; Remondini D
Journal:  BMC Bioinformatics       Date:  2018-10-15       Impact factor: 3.169

  3 in total

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