Enhancing resolution of natural methylome reprogramming behavior in plants

Authors

Robersy Sanchez, University of Nebraska-LincolnFollow
Xiaodong Yang, Pennsylvania State UniversityFollow
Hardik Kundariya, University of Nebraska-LincolnFollow
Jose R. Barreras, Pennsylvania State UniversityFollow
Yashitola Wamboldt, University of Nebraska-LincolnFollow
Sally A. Mackenzie, Pennsylvania State UniversityFollow

Document Type

Article

Date of this Version

2018

Citation

doi: http://dx.doi.org/10.1101/252106.

Comments

The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.

Abstract

We have developed a novel methylome analysis procedure, Methyl-IT, based on information thermodynamics and signal detection. Methylation analysis involves a signal detection problem, and the method was designed to discriminate methylation regulatory signal from background noise induced by thermal fluctuations. Comparison with three commonly used programs and various available datasets to furnish a comparative measure of resolution by each method is included. To confirm results, methylation analysis was integrated with RNAseq and network enrichment analyses. Methyl-IT enhances resolution of genome methylation behavior to reveal network-associated responses, offering resolution of gene pathway influences not attainable with previous methods.