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Methylation content sensitive enzyme ddRAD (MCSeEd): a reference-free, whole genome profiling system to address cytosine/adenine methylation changes
Methods for investigating DNA methylation nowadays either require a reference genome and high coverage, or investigate only CG methylation. Moreover, no large-scale analysis can be performed for N(6)-methyladenosine (6 mA) at an affordable price. Here we describe the methylation content sensitive en...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6795852/ https://www.ncbi.nlm.nih.gov/pubmed/31619715 http://dx.doi.org/10.1038/s41598-019-51423-2 |
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author | Marconi, Gianpiero Capomaccio, Stefano Comino, Cinzia Acquadro, Alberto Portis, Ezio Porceddu, Andrea Albertini, Emidio |
author_facet | Marconi, Gianpiero Capomaccio, Stefano Comino, Cinzia Acquadro, Alberto Portis, Ezio Porceddu, Andrea Albertini, Emidio |
author_sort | Marconi, Gianpiero |
collection | PubMed |
description | Methods for investigating DNA methylation nowadays either require a reference genome and high coverage, or investigate only CG methylation. Moreover, no large-scale analysis can be performed for N(6)-methyladenosine (6 mA) at an affordable price. Here we describe the methylation content sensitive enzyme double-digest restriction-site-associated DNA (ddRAD) technique (MCSeEd), a reduced-representation, reference-free, cost-effective approach for characterizing whole genome methylation patterns across different methylation contexts (e.g., CG, CHG, CHH, 6 mA). MCSeEd can also detect genetic variations among hundreds of samples. MCSeEd is based on parallel restrictions carried out by combinations of methylation insensitive and sensitive endonucleases, followed by next-generation sequencing. Moreover, we present a robust bioinformatic pipeline (available at https://bitbucket.org/capemaster/mcseed/src/master/) for differential methylation analysis combined with single nucleotide polymorphism calling without or with a reference genome. |
format | Online Article Text |
id | pubmed-6795852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67958522019-10-25 Methylation content sensitive enzyme ddRAD (MCSeEd): a reference-free, whole genome profiling system to address cytosine/adenine methylation changes Marconi, Gianpiero Capomaccio, Stefano Comino, Cinzia Acquadro, Alberto Portis, Ezio Porceddu, Andrea Albertini, Emidio Sci Rep Article Methods for investigating DNA methylation nowadays either require a reference genome and high coverage, or investigate only CG methylation. Moreover, no large-scale analysis can be performed for N(6)-methyladenosine (6 mA) at an affordable price. Here we describe the methylation content sensitive enzyme double-digest restriction-site-associated DNA (ddRAD) technique (MCSeEd), a reduced-representation, reference-free, cost-effective approach for characterizing whole genome methylation patterns across different methylation contexts (e.g., CG, CHG, CHH, 6 mA). MCSeEd can also detect genetic variations among hundreds of samples. MCSeEd is based on parallel restrictions carried out by combinations of methylation insensitive and sensitive endonucleases, followed by next-generation sequencing. Moreover, we present a robust bioinformatic pipeline (available at https://bitbucket.org/capemaster/mcseed/src/master/) for differential methylation analysis combined with single nucleotide polymorphism calling without or with a reference genome. Nature Publishing Group UK 2019-10-16 /pmc/articles/PMC6795852/ /pubmed/31619715 http://dx.doi.org/10.1038/s41598-019-51423-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Marconi, Gianpiero Capomaccio, Stefano Comino, Cinzia Acquadro, Alberto Portis, Ezio Porceddu, Andrea Albertini, Emidio Methylation content sensitive enzyme ddRAD (MCSeEd): a reference-free, whole genome profiling system to address cytosine/adenine methylation changes |
title | Methylation content sensitive enzyme ddRAD (MCSeEd): a reference-free, whole genome profiling system to address cytosine/adenine methylation changes |
title_full | Methylation content sensitive enzyme ddRAD (MCSeEd): a reference-free, whole genome profiling system to address cytosine/adenine methylation changes |
title_fullStr | Methylation content sensitive enzyme ddRAD (MCSeEd): a reference-free, whole genome profiling system to address cytosine/adenine methylation changes |
title_full_unstemmed | Methylation content sensitive enzyme ddRAD (MCSeEd): a reference-free, whole genome profiling system to address cytosine/adenine methylation changes |
title_short | Methylation content sensitive enzyme ddRAD (MCSeEd): a reference-free, whole genome profiling system to address cytosine/adenine methylation changes |
title_sort | methylation content sensitive enzyme ddrad (mcseed): a reference-free, whole genome profiling system to address cytosine/adenine methylation changes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6795852/ https://www.ncbi.nlm.nih.gov/pubmed/31619715 http://dx.doi.org/10.1038/s41598-019-51423-2 |
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