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Long range PCR-based deep sequencing for haplotype determination in mixed HCMV infections

BACKGROUND: Short read sequencing has been used extensively to decipher the genome diversity of human cytomegalovirus (HCMV) strains, but falls short to reveal individual genomes in mixed HCMV strain populations. Novel third-generation sequencing platforms offer an extended read length and promise t...

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Autores principales: Brait, Nadja, Külekçi, Büşra, Goerzer, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8735729/
https://www.ncbi.nlm.nih.gov/pubmed/34991471
http://dx.doi.org/10.1186/s12864-021-08272-z
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author Brait, Nadja
Külekçi, Büşra
Goerzer, Irene
author_facet Brait, Nadja
Külekçi, Büşra
Goerzer, Irene
author_sort Brait, Nadja
collection PubMed
description BACKGROUND: Short read sequencing has been used extensively to decipher the genome diversity of human cytomegalovirus (HCMV) strains, but falls short to reveal individual genomes in mixed HCMV strain populations. Novel third-generation sequencing platforms offer an extended read length and promise to resolve how distant polymorphic sites along individual genomes are linked. In the present study, we established a long amplicon PacBio sequencing workflow to identify the absolute and relative quantities of unique HCMV haplotypes spanning over multiple hypervariable sites in mixtures. Initial validation of this approach was performed with defined HCMV DNA templates derived from cell-culture enriched viruses and was further tested for its suitability on patient samples carrying mixed HCMV infections. RESULTS: Total substitution and indel error rate of mapped reads ranged from 0.17 to 0.43% depending on the stringency of quality trimming. Artificial HCMV DNA mixtures were correctly determined down to 1% abundance of the minor DNA source when the total HCMV DNA input was 4 × 10(4) copies/ml. PCR products of up to 7.7 kb and a GC content < 55% were efficiently generated when DNA was directly isolated from patient samples. In a single sample, up to three distinct haplotypes were identified showing varying relative frequencies. Alignments of distinct haplotype sequences within patient samples showed uneven distribution of sequence diversity, interspersed by long identical stretches. Moreover, diversity estimation at single polymorphic regions as assessed by short amplicon sequencing may markedly underestimate the overall diversity of mixed haplotype populations. CONCLUSIONS: Quantitative haplotype determination by long amplicon sequencing provides a novel approach for HCMV strain characterisation in mixed infected samples which can be scaled up to cover the majority of the genome by multi-amplicon panels. This will substantially improve our understanding of intra-host HCMV strain diversity and its dynamic behaviour. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08272-z.
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spelling pubmed-87357292022-01-07 Long range PCR-based deep sequencing for haplotype determination in mixed HCMV infections Brait, Nadja Külekçi, Büşra Goerzer, Irene BMC Genomics Research BACKGROUND: Short read sequencing has been used extensively to decipher the genome diversity of human cytomegalovirus (HCMV) strains, but falls short to reveal individual genomes in mixed HCMV strain populations. Novel third-generation sequencing platforms offer an extended read length and promise to resolve how distant polymorphic sites along individual genomes are linked. In the present study, we established a long amplicon PacBio sequencing workflow to identify the absolute and relative quantities of unique HCMV haplotypes spanning over multiple hypervariable sites in mixtures. Initial validation of this approach was performed with defined HCMV DNA templates derived from cell-culture enriched viruses and was further tested for its suitability on patient samples carrying mixed HCMV infections. RESULTS: Total substitution and indel error rate of mapped reads ranged from 0.17 to 0.43% depending on the stringency of quality trimming. Artificial HCMV DNA mixtures were correctly determined down to 1% abundance of the minor DNA source when the total HCMV DNA input was 4 × 10(4) copies/ml. PCR products of up to 7.7 kb and a GC content < 55% were efficiently generated when DNA was directly isolated from patient samples. In a single sample, up to three distinct haplotypes were identified showing varying relative frequencies. Alignments of distinct haplotype sequences within patient samples showed uneven distribution of sequence diversity, interspersed by long identical stretches. Moreover, diversity estimation at single polymorphic regions as assessed by short amplicon sequencing may markedly underestimate the overall diversity of mixed haplotype populations. CONCLUSIONS: Quantitative haplotype determination by long amplicon sequencing provides a novel approach for HCMV strain characterisation in mixed infected samples which can be scaled up to cover the majority of the genome by multi-amplicon panels. This will substantially improve our understanding of intra-host HCMV strain diversity and its dynamic behaviour. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08272-z. BioMed Central 2022-01-06 /pmc/articles/PMC8735729/ /pubmed/34991471 http://dx.doi.org/10.1186/s12864-021-08272-z Text en © The Author(s) 2022 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 Research
Brait, Nadja
Külekçi, Büşra
Goerzer, Irene
Long range PCR-based deep sequencing for haplotype determination in mixed HCMV infections
title Long range PCR-based deep sequencing for haplotype determination in mixed HCMV infections
title_full Long range PCR-based deep sequencing for haplotype determination in mixed HCMV infections
title_fullStr Long range PCR-based deep sequencing for haplotype determination in mixed HCMV infections
title_full_unstemmed Long range PCR-based deep sequencing for haplotype determination in mixed HCMV infections
title_short Long range PCR-based deep sequencing for haplotype determination in mixed HCMV infections
title_sort long range pcr-based deep sequencing for haplotype determination in mixed hcmv infections
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8735729/
https://www.ncbi.nlm.nih.gov/pubmed/34991471
http://dx.doi.org/10.1186/s12864-021-08272-z
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