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DNA methylation and gene expression in Mimulus guttatus
BACKGROUND: The presence of methyl groups on cytosine nucleotides across an organism’s genome (methylation) is a major regulator of genome stability, crossing over, and gene regulation. The capacity for DNA methylation to be altered by environmental conditions, and potentially passed between generat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4492170/ https://www.ncbi.nlm.nih.gov/pubmed/26148779 http://dx.doi.org/10.1186/s12864-015-1668-0 |
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author | Colicchio, Jack M. Miura, Fumihito Kelly, John K. Ito, Takashi Hileman, Lena C. |
author_facet | Colicchio, Jack M. Miura, Fumihito Kelly, John K. Ito, Takashi Hileman, Lena C. |
author_sort | Colicchio, Jack M. |
collection | PubMed |
description | BACKGROUND: The presence of methyl groups on cytosine nucleotides across an organism’s genome (methylation) is a major regulator of genome stability, crossing over, and gene regulation. The capacity for DNA methylation to be altered by environmental conditions, and potentially passed between generations, makes it a prime candidate for transgenerational epigenetic inheritance. Here we conduct the first analysis of the Mimulus guttatus methylome, with a focus on the relationship between DNA methylation and gene expression. RESULTS: We present a whole genome methylome for the inbred line Iron Mountain 62 (IM62). DNA methylation varies across chromosomes, genomic regions, and genes. We develop a model that predicts gene expression based on DNA methylation (R(2) = 0.2). Post hoc analysis of this model confirms prior relationships, and identifies novel relationships between methylation and gene expression. Additionally, we find that DNA methylation is significantly depleted near gene transcriptional start sites, which may explain the recently discovered elevated rate of recombination in these same regions. CONCLUSIONS: The establishment here of a reference methylome will be a useful resource for the continued advancement of M. guttatus as a model system. Using a model-based approach, we demonstrate that methylation patterns are an important predictor of variation in gene expression. This model provides a novel approach for differential methylation analysis that generates distinct and testable hypotheses regarding gene expression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1668-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4492170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44921702015-07-07 DNA methylation and gene expression in Mimulus guttatus Colicchio, Jack M. Miura, Fumihito Kelly, John K. Ito, Takashi Hileman, Lena C. BMC Genomics Research Article BACKGROUND: The presence of methyl groups on cytosine nucleotides across an organism’s genome (methylation) is a major regulator of genome stability, crossing over, and gene regulation. The capacity for DNA methylation to be altered by environmental conditions, and potentially passed between generations, makes it a prime candidate for transgenerational epigenetic inheritance. Here we conduct the first analysis of the Mimulus guttatus methylome, with a focus on the relationship between DNA methylation and gene expression. RESULTS: We present a whole genome methylome for the inbred line Iron Mountain 62 (IM62). DNA methylation varies across chromosomes, genomic regions, and genes. We develop a model that predicts gene expression based on DNA methylation (R(2) = 0.2). Post hoc analysis of this model confirms prior relationships, and identifies novel relationships between methylation and gene expression. Additionally, we find that DNA methylation is significantly depleted near gene transcriptional start sites, which may explain the recently discovered elevated rate of recombination in these same regions. CONCLUSIONS: The establishment here of a reference methylome will be a useful resource for the continued advancement of M. guttatus as a model system. Using a model-based approach, we demonstrate that methylation patterns are an important predictor of variation in gene expression. This model provides a novel approach for differential methylation analysis that generates distinct and testable hypotheses regarding gene expression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1668-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-07 /pmc/articles/PMC4492170/ /pubmed/26148779 http://dx.doi.org/10.1186/s12864-015-1668-0 Text en © Colicchio et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Colicchio, Jack M. Miura, Fumihito Kelly, John K. Ito, Takashi Hileman, Lena C. DNA methylation and gene expression in Mimulus guttatus |
title | DNA methylation and gene expression in Mimulus guttatus |
title_full | DNA methylation and gene expression in Mimulus guttatus |
title_fullStr | DNA methylation and gene expression in Mimulus guttatus |
title_full_unstemmed | DNA methylation and gene expression in Mimulus guttatus |
title_short | DNA methylation and gene expression in Mimulus guttatus |
title_sort | dna methylation and gene expression in mimulus guttatus |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4492170/ https://www.ncbi.nlm.nih.gov/pubmed/26148779 http://dx.doi.org/10.1186/s12864-015-1668-0 |
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