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Bioreactor virome metagenomics sequencing using DNA spike-ins
- Source :
- PeerJ, Vol 6, p e4351 (2018)
- Publication Year :
- 2018
- Publisher :
- PeerJ Inc., 2018.
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 21678359
- Volume :
- 6
- Database :
- Directory of Open Access Journals
- Journal :
- PeerJ
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.99f7ced0bd774c1fac4971d3fc270161
- Document Type :
- article
- Full Text :
- https://doi.org/10.7717/peerj.4351