Cargando…

Bioreactor virome metagenomics sequencing using DNA spike-ins

With the emergence of Next Generation Sequencing, major advances were made with regard to identifying viruses in natural environments. However, bioinformatical research on viruses is still limited because of the low amounts of viral DNA that can be obtained for analysis. To overcome this limitation,...

Descripción completa

Detalles Bibliográficos
Autores principales: Cremers, Geert, Gambelli, Lavinia, van Alen, Theo, van Niftrik, Laura, Op den Camp, Huub J.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807891/
https://www.ncbi.nlm.nih.gov/pubmed/29441238
http://dx.doi.org/10.7717/peerj.4351
_version_ 1783299364673814528
author Cremers, Geert
Gambelli, Lavinia
van Alen, Theo
van Niftrik, Laura
Op den Camp, Huub J.M.
author_facet Cremers, Geert
Gambelli, Lavinia
van Alen, Theo
van Niftrik, Laura
Op den Camp, Huub J.M.
author_sort Cremers, Geert
collection PubMed
description With the emergence of Next Generation Sequencing, major advances were made with regard to identifying viruses in natural environments. However, bioinformatical research on viruses is still limited because of the low amounts of viral DNA that can be obtained for analysis. To overcome this limitation, DNA is often amplified with multiple displacement amplification (MDA), which may cause an unavoidable bias. Here, we describe a case study in which the virome of a bioreactor is sequenced using Ion Torrent technology. DNA-spiking of samples is compared with MDA-amplified samples. DNA for spiking was obtained by amplifying a bacterial 16S rRNA gene. After sequencing, the 16S rRNA gene reads were removed by mapping to the Silva database. Three samples were tested, a whole genome from Enterobacteria P1 Phage and two viral metagenomes from an infected bioreactor. For one sample, the new DNA-spiking protocol was compared with the MDA technique. When MDA was applied, the overall GC content of the reads showed a bias towards lower GC%, indicating a change in composition of the DNA sample. Assemblies using all available reads from both MDA and the DNA-spiked samples resulted in six viral genomes. All six genomes could be almost completely retrieved (97.9%–100%) when mapping the reads from the DNA-spiked sample to those six genomes. In contrast, 6.3%–77.7% of three viral genomes was covered by reads obtained using the MDA amplification method and only three were nearly fully covered (97.4%–100%). This case study shows that DNA-spiking could be a simple and inexpensive alternative with very low bias for sequencing of metagenomes for which low amounts of DNA are available.
format Online
Article
Text
id pubmed-5807891
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-58078912018-02-13 Bioreactor virome metagenomics sequencing using DNA spike-ins Cremers, Geert Gambelli, Lavinia van Alen, Theo van Niftrik, Laura Op den Camp, Huub J.M. PeerJ Biodiversity With the emergence of Next Generation Sequencing, major advances were made with regard to identifying viruses in natural environments. However, bioinformatical research on viruses is still limited because of the low amounts of viral DNA that can be obtained for analysis. To overcome this limitation, DNA is often amplified with multiple displacement amplification (MDA), which may cause an unavoidable bias. Here, we describe a case study in which the virome of a bioreactor is sequenced using Ion Torrent technology. DNA-spiking of samples is compared with MDA-amplified samples. DNA for spiking was obtained by amplifying a bacterial 16S rRNA gene. After sequencing, the 16S rRNA gene reads were removed by mapping to the Silva database. Three samples were tested, a whole genome from Enterobacteria P1 Phage and two viral metagenomes from an infected bioreactor. For one sample, the new DNA-spiking protocol was compared with the MDA technique. When MDA was applied, the overall GC content of the reads showed a bias towards lower GC%, indicating a change in composition of the DNA sample. Assemblies using all available reads from both MDA and the DNA-spiked samples resulted in six viral genomes. All six genomes could be almost completely retrieved (97.9%–100%) when mapping the reads from the DNA-spiked sample to those six genomes. In contrast, 6.3%–77.7% of three viral genomes was covered by reads obtained using the MDA amplification method and only three were nearly fully covered (97.4%–100%). This case study shows that DNA-spiking could be a simple and inexpensive alternative with very low bias for sequencing of metagenomes for which low amounts of DNA are available. PeerJ Inc. 2018-02-07 /pmc/articles/PMC5807891/ /pubmed/29441238 http://dx.doi.org/10.7717/peerj.4351 Text en ©2018 Cremers et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biodiversity
Cremers, Geert
Gambelli, Lavinia
van Alen, Theo
van Niftrik, Laura
Op den Camp, Huub J.M.
Bioreactor virome metagenomics sequencing using DNA spike-ins
title Bioreactor virome metagenomics sequencing using DNA spike-ins
title_full Bioreactor virome metagenomics sequencing using DNA spike-ins
title_fullStr Bioreactor virome metagenomics sequencing using DNA spike-ins
title_full_unstemmed Bioreactor virome metagenomics sequencing using DNA spike-ins
title_short Bioreactor virome metagenomics sequencing using DNA spike-ins
title_sort bioreactor virome metagenomics sequencing using dna spike-ins
topic Biodiversity
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807891/
https://www.ncbi.nlm.nih.gov/pubmed/29441238
http://dx.doi.org/10.7717/peerj.4351
work_keys_str_mv AT cremersgeert bioreactorviromemetagenomicssequencingusingdnaspikeins
AT gambellilavinia bioreactorviromemetagenomicssequencingusingdnaspikeins
AT vanalentheo bioreactorviromemetagenomicssequencingusingdnaspikeins
AT vanniftriklaura bioreactorviromemetagenomicssequencingusingdnaspikeins
AT opdencamphuubjm bioreactorviromemetagenomicssequencingusingdnaspikeins