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TaME-seq2: tagmentation-assisted multiplex PCR enrichment sequencing for viral genomic profiling

BACKGROUND: Previously developed TaME-seq method for deep sequencing of HPV, allowed simultaneous identification of the human papillomavirus (HPV) DNA consensus sequence, low-frequency variable sites, and chromosomal integration events. The method has been successfully validated and applied to the s...

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Autores principales: Hesselberg Løvestad, Alexander, Stosic, Milan S., Costanzi, Jean-Marc, Christiansen, Irene Kraus, Aamot, Hege Vangstein, Ambur, Ole Herman, Rounge, Trine B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9993372/
https://www.ncbi.nlm.nih.gov/pubmed/36890572
http://dx.doi.org/10.1186/s12985-023-02002-5
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author Hesselberg Løvestad, Alexander
Stosic, Milan S.
Costanzi, Jean-Marc
Christiansen, Irene Kraus
Aamot, Hege Vangstein
Ambur, Ole Herman
Rounge, Trine B.
author_facet Hesselberg Løvestad, Alexander
Stosic, Milan S.
Costanzi, Jean-Marc
Christiansen, Irene Kraus
Aamot, Hege Vangstein
Ambur, Ole Herman
Rounge, Trine B.
author_sort Hesselberg Løvestad, Alexander
collection PubMed
description BACKGROUND: Previously developed TaME-seq method for deep sequencing of HPV, allowed simultaneous identification of the human papillomavirus (HPV) DNA consensus sequence, low-frequency variable sites, and chromosomal integration events. The method has been successfully validated and applied to the study of five carcinogenic high-risk (HR) HPV types (HPV16, 18, 31, 33, and 45). Here, we present TaME-seq2 with an updated laboratory workflow and bioinformatics pipeline. The HR-HPV type repertoire was expanded with HPV51, 52, and 59. As a proof-of-concept, TaME-seq2 was applied on SARS-CoV-2 positive samples showing the method’s flexibility to a broader range of viruses, both DNA and RNA. RESULTS: Compared to TaME-seq version 1, the bioinformatics pipeline of TaME-seq2 is approximately 40× faster. In total, 23 HPV-positive samples and seven SARS-CoV-2 clinical samples passed the threshold of 300× mean depth and were submitted to further analysis. The mean number of variable sites per 1 kb was ~ 1.5× higher in SARS-CoV-2 than in HPV-positive samples. Reproducibility and repeatability of the method were tested on a subset of samples. A viral integration breakpoint followed by a partial genomic deletion was found in within-run replicates of HPV59-positive sample. Identified viral consensus sequence in two separate runs was > 99.9% identical between replicates, differing by a couple of nucleotides identified in only one of the replicates. Conversely, the number of identical minor nucleotide variants (MNVs) differed greatly between replicates, probably caused by PCR-introduced bias. The total number of detected MNVs, calculated gene variability and mutational signature analysis, were unaffected by the sequencing run. CONCLUSION: TaME-seq2 proved well suited for consensus sequence identification, and the detection of low-frequency viral genome variation and viral-chromosomal integrations. The repertoire of TaME-seq2 now encompasses seven HR-HPV types. Our goal is to further include all HR-HPV types in the TaME-seq2 repertoire. Moreover, with a minor modification of previously developed primers, the same method was successfully applied for the analysis of SARS-CoV-2 positive samples, implying the ease of adapting TaME-seq2 to other viruses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12985-023-02002-5.
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spelling pubmed-99933722023-03-08 TaME-seq2: tagmentation-assisted multiplex PCR enrichment sequencing for viral genomic profiling Hesselberg Løvestad, Alexander Stosic, Milan S. Costanzi, Jean-Marc Christiansen, Irene Kraus Aamot, Hege Vangstein Ambur, Ole Herman Rounge, Trine B. Virol J Methodology BACKGROUND: Previously developed TaME-seq method for deep sequencing of HPV, allowed simultaneous identification of the human papillomavirus (HPV) DNA consensus sequence, low-frequency variable sites, and chromosomal integration events. The method has been successfully validated and applied to the study of five carcinogenic high-risk (HR) HPV types (HPV16, 18, 31, 33, and 45). Here, we present TaME-seq2 with an updated laboratory workflow and bioinformatics pipeline. The HR-HPV type repertoire was expanded with HPV51, 52, and 59. As a proof-of-concept, TaME-seq2 was applied on SARS-CoV-2 positive samples showing the method’s flexibility to a broader range of viruses, both DNA and RNA. RESULTS: Compared to TaME-seq version 1, the bioinformatics pipeline of TaME-seq2 is approximately 40× faster. In total, 23 HPV-positive samples and seven SARS-CoV-2 clinical samples passed the threshold of 300× mean depth and were submitted to further analysis. The mean number of variable sites per 1 kb was ~ 1.5× higher in SARS-CoV-2 than in HPV-positive samples. Reproducibility and repeatability of the method were tested on a subset of samples. A viral integration breakpoint followed by a partial genomic deletion was found in within-run replicates of HPV59-positive sample. Identified viral consensus sequence in two separate runs was > 99.9% identical between replicates, differing by a couple of nucleotides identified in only one of the replicates. Conversely, the number of identical minor nucleotide variants (MNVs) differed greatly between replicates, probably caused by PCR-introduced bias. The total number of detected MNVs, calculated gene variability and mutational signature analysis, were unaffected by the sequencing run. CONCLUSION: TaME-seq2 proved well suited for consensus sequence identification, and the detection of low-frequency viral genome variation and viral-chromosomal integrations. The repertoire of TaME-seq2 now encompasses seven HR-HPV types. Our goal is to further include all HR-HPV types in the TaME-seq2 repertoire. Moreover, with a minor modification of previously developed primers, the same method was successfully applied for the analysis of SARS-CoV-2 positive samples, implying the ease of adapting TaME-seq2 to other viruses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12985-023-02002-5. BioMed Central 2023-03-08 /pmc/articles/PMC9993372/ /pubmed/36890572 http://dx.doi.org/10.1186/s12985-023-02002-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Methodology
Hesselberg Løvestad, Alexander
Stosic, Milan S.
Costanzi, Jean-Marc
Christiansen, Irene Kraus
Aamot, Hege Vangstein
Ambur, Ole Herman
Rounge, Trine B.
TaME-seq2: tagmentation-assisted multiplex PCR enrichment sequencing for viral genomic profiling
title TaME-seq2: tagmentation-assisted multiplex PCR enrichment sequencing for viral genomic profiling
title_full TaME-seq2: tagmentation-assisted multiplex PCR enrichment sequencing for viral genomic profiling
title_fullStr TaME-seq2: tagmentation-assisted multiplex PCR enrichment sequencing for viral genomic profiling
title_full_unstemmed TaME-seq2: tagmentation-assisted multiplex PCR enrichment sequencing for viral genomic profiling
title_short TaME-seq2: tagmentation-assisted multiplex PCR enrichment sequencing for viral genomic profiling
title_sort tame-seq2: tagmentation-assisted multiplex pcr enrichment sequencing for viral genomic profiling
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9993372/
https://www.ncbi.nlm.nih.gov/pubmed/36890572
http://dx.doi.org/10.1186/s12985-023-02002-5
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