Cargando…
Methylated DNA is over-represented in whole-genome bisulfite sequencing data
The development of whole-genome bisulfite sequencing (WGBS) has resulted in a number of exciting discoveries about the role of DNA methylation leading to a plethora of novel testable hypotheses. Methods for constructing sodium bisulfite-converted and amplified libraries have recently advanced to the...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204604/ https://www.ncbi.nlm.nih.gov/pubmed/25374580 http://dx.doi.org/10.3389/fgene.2014.00341 |
_version_ | 1782340584310046720 |
---|---|
author | Ji, Lexiang Sasaki, Takahiko Sun, Xiaoxiao Ma, Ping Lewis, Zachary A. Schmitz, Robert J. |
author_facet | Ji, Lexiang Sasaki, Takahiko Sun, Xiaoxiao Ma, Ping Lewis, Zachary A. Schmitz, Robert J. |
author_sort | Ji, Lexiang |
collection | PubMed |
description | The development of whole-genome bisulfite sequencing (WGBS) has resulted in a number of exciting discoveries about the role of DNA methylation leading to a plethora of novel testable hypotheses. Methods for constructing sodium bisulfite-converted and amplified libraries have recently advanced to the point that the bottleneck for experiments that use WGBS has shifted to data analysis and interpretation. Here we present empirical evidence for an over-representation of reads from methylated DNA in WGBS. This enrichment for methylated DNA is exacerbated by higher cycles of PCR and is influenced by the type of uracil-insensitive DNA polymerase used for amplifying the sequencing library. Future efforts to computationally correct for this enrichment bias will be essential to increasing the accuracy of determining methylation levels for individual cytosines. It is especially critical for studies that seek to accurately quantify DNA methylation levels in populations that may segregate for allelic DNA methylation states. |
format | Online Article Text |
id | pubmed-4204604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42046042014-11-05 Methylated DNA is over-represented in whole-genome bisulfite sequencing data Ji, Lexiang Sasaki, Takahiko Sun, Xiaoxiao Ma, Ping Lewis, Zachary A. Schmitz, Robert J. Front Genet Genetics The development of whole-genome bisulfite sequencing (WGBS) has resulted in a number of exciting discoveries about the role of DNA methylation leading to a plethora of novel testable hypotheses. Methods for constructing sodium bisulfite-converted and amplified libraries have recently advanced to the point that the bottleneck for experiments that use WGBS has shifted to data analysis and interpretation. Here we present empirical evidence for an over-representation of reads from methylated DNA in WGBS. This enrichment for methylated DNA is exacerbated by higher cycles of PCR and is influenced by the type of uracil-insensitive DNA polymerase used for amplifying the sequencing library. Future efforts to computationally correct for this enrichment bias will be essential to increasing the accuracy of determining methylation levels for individual cytosines. It is especially critical for studies that seek to accurately quantify DNA methylation levels in populations that may segregate for allelic DNA methylation states. Frontiers Media S.A. 2014-10-21 /pmc/articles/PMC4204604/ /pubmed/25374580 http://dx.doi.org/10.3389/fgene.2014.00341 Text en Copyright © 2014 Ji, Sasaki, Sun, Ma, Lewis and Schmitz. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Ji, Lexiang Sasaki, Takahiko Sun, Xiaoxiao Ma, Ping Lewis, Zachary A. Schmitz, Robert J. Methylated DNA is over-represented in whole-genome bisulfite sequencing data |
title | Methylated DNA is over-represented in whole-genome bisulfite sequencing data |
title_full | Methylated DNA is over-represented in whole-genome bisulfite sequencing data |
title_fullStr | Methylated DNA is over-represented in whole-genome bisulfite sequencing data |
title_full_unstemmed | Methylated DNA is over-represented in whole-genome bisulfite sequencing data |
title_short | Methylated DNA is over-represented in whole-genome bisulfite sequencing data |
title_sort | methylated dna is over-represented in whole-genome bisulfite sequencing data |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204604/ https://www.ncbi.nlm.nih.gov/pubmed/25374580 http://dx.doi.org/10.3389/fgene.2014.00341 |
work_keys_str_mv | AT jilexiang methylateddnaisoverrepresentedinwholegenomebisulfitesequencingdata AT sasakitakahiko methylateddnaisoverrepresentedinwholegenomebisulfitesequencingdata AT sunxiaoxiao methylateddnaisoverrepresentedinwholegenomebisulfitesequencingdata AT maping methylateddnaisoverrepresentedinwholegenomebisulfitesequencingdata AT lewiszacharya methylateddnaisoverrepresentedinwholegenomebisulfitesequencingdata AT schmitzrobertj methylateddnaisoverrepresentedinwholegenomebisulfitesequencingdata |