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Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing

BACKGROUND: Methylation of cytosine in genomic DNA is a well-characterized epigenetic modification involved in many cellular processes and diseases. Whole-genome bisulfite sequencing (WGBS), such as MethylC-seq and post-bisulfite adaptor tagging sequencing (PBAT-seq), uses the power of high-throughp...

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Autores principales: Toh, Hidehiro, Shirane, Kenjiro, Miura, Fumihito, Kubo, Naoki, Ichiyanagi, Kenji, Hayashi, Katsuhiko, Saitou, Mitinori, Suyama, Mikita, Ito, Takashi, Sasaki, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217569/
https://www.ncbi.nlm.nih.gov/pubmed/28056787
http://dx.doi.org/10.1186/s12864-016-3392-9
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author Toh, Hidehiro
Shirane, Kenjiro
Miura, Fumihito
Kubo, Naoki
Ichiyanagi, Kenji
Hayashi, Katsuhiko
Saitou, Mitinori
Suyama, Mikita
Ito, Takashi
Sasaki, Hiroyuki
author_facet Toh, Hidehiro
Shirane, Kenjiro
Miura, Fumihito
Kubo, Naoki
Ichiyanagi, Kenji
Hayashi, Katsuhiko
Saitou, Mitinori
Suyama, Mikita
Ito, Takashi
Sasaki, Hiroyuki
author_sort Toh, Hidehiro
collection PubMed
description BACKGROUND: Methylation of cytosine in genomic DNA is a well-characterized epigenetic modification involved in many cellular processes and diseases. Whole-genome bisulfite sequencing (WGBS), such as MethylC-seq and post-bisulfite adaptor tagging sequencing (PBAT-seq), uses the power of high-throughput DNA sequencers and provides genome-wide DNA methylation profiles at single-base resolution. However, the accuracy and consistency of WGBS outputs in relation to the operating conditions of high-throughput sequencers have not been explored. RESULTS: We have used the Illumina HiSeq platform for our PBAT-based WGBS, and found that different versions of HiSeq Control Software (HCS) and Real-Time Analysis (RTA) installed on the system provided different global CpG methylation levels (approximately 5% overall difference) for the same libraries. This problem was reproduced multiple times with different WGBS libraries and likely to be associated with the low sequence diversity of bisulfite-converted DNA. We found that HCS was the major determinant in the observed differences. To determine which version of HCS is most suitable for WGBS, we used substrates with predetermined CpG methylation levels, and found that HCS v2.0.5 is the best among the examined versions. HCS v2.0.12 showed the poorest performance and provided artificially lower CpG methylation levels when 5-methylcytosine is read as guanine (first read of PBAT-seq and second read of MethylC-seq). In addition, paired-end sequencing of low diversity libraries using HCS v2.2.38 or the latest HCS v2.2.58 was greatly affected by cluster densities. CONCLUSIONS: Software updates in the Illumina HiSeq platform can affect the outputs from low-diversity sequencing libraries such as WGBS libraries. More recent versions are not necessarily the better, and HCS v2.0.5 is currently the best for WGBS among the examined HCS versions. Thus, together with other experimental conditions, special care has to be taken on this point when CpG methylation levels are to be compared between different samples by WGBS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3392-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-52175692017-01-09 Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing Toh, Hidehiro Shirane, Kenjiro Miura, Fumihito Kubo, Naoki Ichiyanagi, Kenji Hayashi, Katsuhiko Saitou, Mitinori Suyama, Mikita Ito, Takashi Sasaki, Hiroyuki BMC Genomics Research Article BACKGROUND: Methylation of cytosine in genomic DNA is a well-characterized epigenetic modification involved in many cellular processes and diseases. Whole-genome bisulfite sequencing (WGBS), such as MethylC-seq and post-bisulfite adaptor tagging sequencing (PBAT-seq), uses the power of high-throughput DNA sequencers and provides genome-wide DNA methylation profiles at single-base resolution. However, the accuracy and consistency of WGBS outputs in relation to the operating conditions of high-throughput sequencers have not been explored. RESULTS: We have used the Illumina HiSeq platform for our PBAT-based WGBS, and found that different versions of HiSeq Control Software (HCS) and Real-Time Analysis (RTA) installed on the system provided different global CpG methylation levels (approximately 5% overall difference) for the same libraries. This problem was reproduced multiple times with different WGBS libraries and likely to be associated with the low sequence diversity of bisulfite-converted DNA. We found that HCS was the major determinant in the observed differences. To determine which version of HCS is most suitable for WGBS, we used substrates with predetermined CpG methylation levels, and found that HCS v2.0.5 is the best among the examined versions. HCS v2.0.12 showed the poorest performance and provided artificially lower CpG methylation levels when 5-methylcytosine is read as guanine (first read of PBAT-seq and second read of MethylC-seq). In addition, paired-end sequencing of low diversity libraries using HCS v2.2.38 or the latest HCS v2.2.58 was greatly affected by cluster densities. CONCLUSIONS: Software updates in the Illumina HiSeq platform can affect the outputs from low-diversity sequencing libraries such as WGBS libraries. More recent versions are not necessarily the better, and HCS v2.0.5 is currently the best for WGBS among the examined HCS versions. Thus, together with other experimental conditions, special care has to be taken on this point when CpG methylation levels are to be compared between different samples by WGBS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3392-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-05 /pmc/articles/PMC5217569/ /pubmed/28056787 http://dx.doi.org/10.1186/s12864-016-3392-9 Text en © The Author(s). 2017 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 Article
Toh, Hidehiro
Shirane, Kenjiro
Miura, Fumihito
Kubo, Naoki
Ichiyanagi, Kenji
Hayashi, Katsuhiko
Saitou, Mitinori
Suyama, Mikita
Ito, Takashi
Sasaki, Hiroyuki
Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing
title Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing
title_full Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing
title_fullStr Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing
title_full_unstemmed Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing
title_short Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing
title_sort software updates in the illumina hiseq platform affect whole-genome bisulfite sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217569/
https://www.ncbi.nlm.nih.gov/pubmed/28056787
http://dx.doi.org/10.1186/s12864-016-3392-9
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