Reducing inherent biases introduced during DNA viral metagenome analyses of municipal wastewater.

ABSTRACT: Metagenomics is a powerful tool for characterizing viral composition within environmental samples, but sample and molecular processing steps can bias the estimation of viral community structure. The objective of this study is to understand the inherent variability introduced when conducting viral metagenomic analyses of wastewater and provide a bioinformatic strategy to accurately analyze sequences for viral community analyses. A standard approach using a combination of ultrafiltration, membrane filtration, and DNase treatment, and multiple displacement amplification (MDA) produced DNA preparations without any bacterial derived genes. Results showed recoveries in wastewater matrix ranged between 60-100%. A bias towards small single stranded DNA (ssDNA; polyomavirus) virus types vs larger d

SUBMITTER: Brinkman NE 

PROVIDER: S-EPMC5882159 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature