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Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in Arabidopsis
Genome-wide characterization by next-generation sequencing has greatly improved our understanding of the landscape of epigenetic modifications. Since 2008, whole-genome bisulfite sequencing (WGBS) has become the gold standard for DNA methylation analysis, and a tremendous amount of WGBS data has bee...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798360/ https://www.ncbi.nlm.nih.gov/pubmed/29339507 http://dx.doi.org/10.1073/pnas.1716300115 |
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author | Zhang, Yu Harris, C. Jake Liu, Qikun Liu, Wanlu Ausin, Israel Long, Yanping Xiao, Lidan Feng, Li Chen, Xu Xie, Yubin Chen, Xinyuan Zhan, Lingyu Feng, Suhua Li, Jingyi Jessica Wang, Haifeng Zhai, Jixian Jacobsen, Steven E. |
author_facet | Zhang, Yu Harris, C. Jake Liu, Qikun Liu, Wanlu Ausin, Israel Long, Yanping Xiao, Lidan Feng, Li Chen, Xu Xie, Yubin Chen, Xinyuan Zhan, Lingyu Feng, Suhua Li, Jingyi Jessica Wang, Haifeng Zhai, Jixian Jacobsen, Steven E. |
author_sort | Zhang, Yu |
collection | PubMed |
description | Genome-wide characterization by next-generation sequencing has greatly improved our understanding of the landscape of epigenetic modifications. Since 2008, whole-genome bisulfite sequencing (WGBS) has become the gold standard for DNA methylation analysis, and a tremendous amount of WGBS data has been generated by the research community. However, the systematic comparison of DNA methylation profiles to identify regulatory mechanisms has yet to be fully explored. Here we reprocessed the raw data of over 500 publicly available Arabidopsis WGBS libraries from various mutant backgrounds, tissue types, and stress treatments and also filtered them based on sequencing depth and efficiency of bisulfite conversion. This enabled us to identify high-confidence differentially methylated regions (hcDMRs) by comparing each test library to over 50 high-quality wild-type controls. We developed statistical and quantitative measurements to analyze the overlapping of DMRs and to cluster libraries based on their effect on DNA methylation. In addition to confirming existing relationships, we revealed unanticipated connections between well-known genes. For instance, MET1 and CMT3 were found to be required for the maintenance of asymmetric CHH methylation at nonoverlapping regions of CMT2 targeted heterochromatin. Our comparative methylome approach has established a framework for extracting biological insights via large-scale comparison of methylomes and can also be adopted for other genomics datasets. |
format | Online Article Text |
id | pubmed-5798360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-57983602018-02-06 Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in Arabidopsis Zhang, Yu Harris, C. Jake Liu, Qikun Liu, Wanlu Ausin, Israel Long, Yanping Xiao, Lidan Feng, Li Chen, Xu Xie, Yubin Chen, Xinyuan Zhan, Lingyu Feng, Suhua Li, Jingyi Jessica Wang, Haifeng Zhai, Jixian Jacobsen, Steven E. Proc Natl Acad Sci U S A PNAS Plus Genome-wide characterization by next-generation sequencing has greatly improved our understanding of the landscape of epigenetic modifications. Since 2008, whole-genome bisulfite sequencing (WGBS) has become the gold standard for DNA methylation analysis, and a tremendous amount of WGBS data has been generated by the research community. However, the systematic comparison of DNA methylation profiles to identify regulatory mechanisms has yet to be fully explored. Here we reprocessed the raw data of over 500 publicly available Arabidopsis WGBS libraries from various mutant backgrounds, tissue types, and stress treatments and also filtered them based on sequencing depth and efficiency of bisulfite conversion. This enabled us to identify high-confidence differentially methylated regions (hcDMRs) by comparing each test library to over 50 high-quality wild-type controls. We developed statistical and quantitative measurements to analyze the overlapping of DMRs and to cluster libraries based on their effect on DNA methylation. In addition to confirming existing relationships, we revealed unanticipated connections between well-known genes. For instance, MET1 and CMT3 were found to be required for the maintenance of asymmetric CHH methylation at nonoverlapping regions of CMT2 targeted heterochromatin. Our comparative methylome approach has established a framework for extracting biological insights via large-scale comparison of methylomes and can also be adopted for other genomics datasets. National Academy of Sciences 2018-01-30 2018-01-16 /pmc/articles/PMC5798360/ /pubmed/29339507 http://dx.doi.org/10.1073/pnas.1716300115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | PNAS Plus Zhang, Yu Harris, C. Jake Liu, Qikun Liu, Wanlu Ausin, Israel Long, Yanping Xiao, Lidan Feng, Li Chen, Xu Xie, Yubin Chen, Xinyuan Zhan, Lingyu Feng, Suhua Li, Jingyi Jessica Wang, Haifeng Zhai, Jixian Jacobsen, Steven E. Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in Arabidopsis |
title | Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in Arabidopsis |
title_full | Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in Arabidopsis |
title_fullStr | Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in Arabidopsis |
title_full_unstemmed | Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in Arabidopsis |
title_short | Large-scale comparative epigenomics reveals hierarchical regulation of non-CG methylation in Arabidopsis |
title_sort | large-scale comparative epigenomics reveals hierarchical regulation of non-cg methylation in arabidopsis |
topic | PNAS Plus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798360/ https://www.ncbi.nlm.nih.gov/pubmed/29339507 http://dx.doi.org/10.1073/pnas.1716300115 |
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