Cytosine DNA methylation (CDM) is a highly abundant epigenetic heritable but reversible chemical modification to the genome. Herein, a machine learning approach, was applied to analyze the accumulation of epigenetic marks in 150 methylomes from Arabidopsis thaliana ecotypes. We hypothesize that these marks are chromosomal footprints that account for different ontogenetic and phylogenetic and histories of individual members of the sampling population. Our results support this hypothesis and suggest a statistical-physical relationship between CDM changes and single nucleotide polymorphism (SNPs). Furthermore, the genome-wide redistribution of CDM changes ensures the thermal stability of the DNA molecule preserving the integrity of the genetic message continuously stressed by thermal fluctuations in the cell environment.
Previous Article in event Previous Article in congress
Next Article in event
14N NMR Spectroscopy for detection of binding interaction between sodium azide and hydrated Fullerene by titration methodNext Article in congress
Genome-wide Discriminatory Information Patterns of Cytosine DNA Methylation
Published: 02 December 2015 by MDPI in MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed. congress USEDAT-01: USA-Europe Data Analysis Training Congress, Cambridge, UK-Bilbao, Spain-Miami, USA, 2015
Keywords: Epigenetics, Epigenomics, Information thermodynamics, Linear discriminant analysis, machine learning.