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Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data

BACKGROUND: Whole-genome bisulfite sequencing (WGBS) is becoming an increasingly accessible technique, used widely for both fundamental and disease-oriented research. Library preparation methods benefit from a variety of available kits, polymerases and bisulfite conversion protocols. Although some s...

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Autores principales: Olova, Nelly, Krueger, Felix, Andrews, Simon, Oxley, David, Berrens, Rebecca V., Branco, Miguel R., Reik, Wolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856372/
https://www.ncbi.nlm.nih.gov/pubmed/29544553
http://dx.doi.org/10.1186/s13059-018-1408-2
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author Olova, Nelly
Krueger, Felix
Andrews, Simon
Oxley, David
Berrens, Rebecca V.
Branco, Miguel R.
Reik, Wolf
author_facet Olova, Nelly
Krueger, Felix
Andrews, Simon
Oxley, David
Berrens, Rebecca V.
Branco, Miguel R.
Reik, Wolf
author_sort Olova, Nelly
collection PubMed
description BACKGROUND: Whole-genome bisulfite sequencing (WGBS) is becoming an increasingly accessible technique, used widely for both fundamental and disease-oriented research. Library preparation methods benefit from a variety of available kits, polymerases and bisulfite conversion protocols. Although some steps in the procedure, such as PCR amplification, are known to introduce biases, a systematic evaluation of biases in WGBS strategies is missing. RESULTS: We perform a comparative analysis of several commonly used pre- and post-bisulfite WGBS library preparation protocols for their performance and quality of sequencing outputs. Our results show that bisulfite conversion per se is the main trigger of pronounced sequencing biases, and PCR amplification builds on these underlying artefacts. The majority of standard library preparation methods yield a significantly biased sequence output and overestimate global methylation. Importantly, both absolute and relative methylation levels at specific genomic regions vary substantially between methods, with clear implications for DNA methylation studies. CONCLUSIONS: We show that amplification-free library preparation is the least biased approach for WGBS. In protocols with amplification, the choice of bisulfite conversion protocol or polymerase can significantly minimize artefacts. To aid with the quality assessment of existing WGBS datasets, we have integrated a bias diagnostic tool in the Bismark package and offer several approaches for consideration during the preparation and analysis of WGBS datasets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1408-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-58563722018-03-22 Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data Olova, Nelly Krueger, Felix Andrews, Simon Oxley, David Berrens, Rebecca V. Branco, Miguel R. Reik, Wolf Genome Biol Research BACKGROUND: Whole-genome bisulfite sequencing (WGBS) is becoming an increasingly accessible technique, used widely for both fundamental and disease-oriented research. Library preparation methods benefit from a variety of available kits, polymerases and bisulfite conversion protocols. Although some steps in the procedure, such as PCR amplification, are known to introduce biases, a systematic evaluation of biases in WGBS strategies is missing. RESULTS: We perform a comparative analysis of several commonly used pre- and post-bisulfite WGBS library preparation protocols for their performance and quality of sequencing outputs. Our results show that bisulfite conversion per se is the main trigger of pronounced sequencing biases, and PCR amplification builds on these underlying artefacts. The majority of standard library preparation methods yield a significantly biased sequence output and overestimate global methylation. Importantly, both absolute and relative methylation levels at specific genomic regions vary substantially between methods, with clear implications for DNA methylation studies. CONCLUSIONS: We show that amplification-free library preparation is the least biased approach for WGBS. In protocols with amplification, the choice of bisulfite conversion protocol or polymerase can significantly minimize artefacts. To aid with the quality assessment of existing WGBS datasets, we have integrated a bias diagnostic tool in the Bismark package and offer several approaches for consideration during the preparation and analysis of WGBS datasets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1408-2) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-15 /pmc/articles/PMC5856372/ /pubmed/29544553 http://dx.doi.org/10.1186/s13059-018-1408-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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
Olova, Nelly
Krueger, Felix
Andrews, Simon
Oxley, David
Berrens, Rebecca V.
Branco, Miguel R.
Reik, Wolf
Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
title Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
title_full Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
title_fullStr Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
title_full_unstemmed Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
title_short Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
title_sort comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting dna methylation data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856372/
https://www.ncbi.nlm.nih.gov/pubmed/29544553
http://dx.doi.org/10.1186/s13059-018-1408-2
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