AlphaBeta: computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants
Abstract
Stochastic changes in DNA methylation (i.e., spontaneous epimutations) contribute to methylome diversity in plants. Here, we describe AlphaBeta, a computational method for estimating the precise rate of such stochastic events using pedigree-based DNA methylation data as input. We demonstrate how AlphaBeta can be employed to study transgenerationally heritable epimutations in clonal or sexually derived mutation accumulation lines, as well as somatic epimutations in long-lived perennials. Application of our method to published and new data reveals that spontaneous epimutations accumulate neutrally at the genome-wide scale, originate mainly during somatic development and that they can be used as a molecular clock for age-dating trees.
- Authors:
-
- Technical Univ. of Munich (Germany). Dept. of Plant Sciences; Technical Univ. of Munich (Germany). Inst. for Advanced Study
- Technical Univ. of Munich (Germany). Dept. of Plant Sciences
- Helmholtz Zentrum München, Neuherberg (Germany). Inst. of Computational Biology
- Inst. of Bioinformatics, Athens (Greece)
- Netherlands Inst. of Ecology (NIOO-KNAW), Wageningen (Netherlands). Dept. of Terrestrial Ecology
- Helmholtz Zentrum München, Neuherberg (Germany). Inst. of Computational Biology; Univ. of Groningen (Netherlands). Univ. Medical Centre Groningen. European Research Inst. for the Biology of Ageing; Technical Univ. of Munich (Germany). TUM School of Life Sciences Weihenstephan
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Bioeneregy Innovation
- Technical Univ. of Munich (Germany). Inst. for Advanced Study; Univ. of Georgia, Athens, GA (United States). Dept. of Genetics
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1815907
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Genome Biology (Online)
- Additional Journal Information:
- Journal Name: Genome Biology (Online); Journal Volume: 21; Journal Issue: 1; Journal ID: ISSN 1474-760X
- Publisher:
- BioMed Central
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Epimutation; DNA methylation; Plants; Trees; Epigenetics; Epimutation rate; Evolution; Molecular clock; Epigenetic clock; Bioinformatics software tool; R/Bioconductor package
Citation Formats
Shahryary, Yadollah, Symeonidi, Aikaterini, Hazarika, Rashmi R., Denkena, Johanna, Mubeen, Talha, Hofmeister, Brigitte, van Gurp, Thomas, Colomé-Tatché, Maria, Verhoeven, Koen J. F., Tuskan, Gerald, Schmitz, Robert J., and Johannes, Frank. AlphaBeta: computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants. United States: N. p., 2020.
Web. doi:10.1186/s13059-020-02161-6.
Shahryary, Yadollah, Symeonidi, Aikaterini, Hazarika, Rashmi R., Denkena, Johanna, Mubeen, Talha, Hofmeister, Brigitte, van Gurp, Thomas, Colomé-Tatché, Maria, Verhoeven, Koen J. F., Tuskan, Gerald, Schmitz, Robert J., & Johannes, Frank. AlphaBeta: computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants. United States. https://doi.org/10.1186/s13059-020-02161-6
Shahryary, Yadollah, Symeonidi, Aikaterini, Hazarika, Rashmi R., Denkena, Johanna, Mubeen, Talha, Hofmeister, Brigitte, van Gurp, Thomas, Colomé-Tatché, Maria, Verhoeven, Koen J. F., Tuskan, Gerald, Schmitz, Robert J., and Johannes, Frank. Tue .
"AlphaBeta: computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants". United States. https://doi.org/10.1186/s13059-020-02161-6. https://www.osti.gov/servlets/purl/1815907.
@article{osti_1815907,
title = {AlphaBeta: computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants},
author = {Shahryary, Yadollah and Symeonidi, Aikaterini and Hazarika, Rashmi R. and Denkena, Johanna and Mubeen, Talha and Hofmeister, Brigitte and van Gurp, Thomas and Colomé-Tatché, Maria and Verhoeven, Koen J. F. and Tuskan, Gerald and Schmitz, Robert J. and Johannes, Frank},
abstractNote = {Stochastic changes in DNA methylation (i.e., spontaneous epimutations) contribute to methylome diversity in plants. Here, we describe AlphaBeta, a computational method for estimating the precise rate of such stochastic events using pedigree-based DNA methylation data as input. We demonstrate how AlphaBeta can be employed to study transgenerationally heritable epimutations in clonal or sexually derived mutation accumulation lines, as well as somatic epimutations in long-lived perennials. Application of our method to published and new data reveals that spontaneous epimutations accumulate neutrally at the genome-wide scale, originate mainly during somatic development and that they can be used as a molecular clock for age-dating trees.},
doi = {10.1186/s13059-020-02161-6},
journal = {Genome Biology (Online)},
number = 1,
volume = 21,
place = {United States},
year = {Tue Oct 06 00:00:00 EDT 2020},
month = {Tue Oct 06 00:00:00 EDT 2020}
}
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