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. 2021 Oct 20;12:745076. doi: 10.3389/fmicb.2021.745076

TABLE 1.

Recommendation for reducing contamination in viral metagenomic studies.

Recommendations
General practices • Use sterile laboratory equipment: tubes, tips with filter, decontaminated racks, and machines
• Wear disposable protective coats, gloves, and face masks
• Always decontaminate working area
• Perform wet-laboratory work under laminar flow hood
• Perform all steps in dedicated laboratory areas: create separate preamplification, amplification, and postamplification sites
• Minimize the number of investigators in a project and record which samples were handled by a given technician
Sampling • Avoid cross-contamination during sample preparation
• Be aware that caging multiple laboratory animals in the same space may influence their microbial composition
• Collect samples in sterile tubes
• Avoid contamination derived from the skin or breath of the investigator
• Use rich-biomass samples Maximize the sample volume for extraction when using low-biomass material
Reagents and wet-laboratory procedures • Use the same types of reagents during the whole project Record all batches and lot numbers of all reagents used in a project
• Minimize the number of steps in wet-laboratory workflow
• Use dedicated extraction kits for low-biomass samples with low elution volumes
• Keep in mind that silica column–based nucleic acid extraction kits are associated with numerous contaminants
• Use highly purified enzymes and polymerases with high fidelity
• Minimize the number of PCR cycles during amplification
• Avoid using multichannel pipettes, sample plates, and strips without separate caps
• If necessary make gaps in plates between samples
• Use VLP enrichment workflows
• Analyze the same biological samples in repeats
Sequencing • Sequence all samples in a given project in the same sequencing center
• Use unique dual barcoding
• Sequence samples with similar viral titters in the same run
• Minimize the number of PCR cycles during indexing
Controls • Use blank and negative controls during sample preparation and extraction
• Use non-template controls if amplification step is included
• Use a variety of positive-control titrations to verify the accuracy of metagenomic workflow
Data analysis • Create a list of contaminants specific for your viral metagenomic workflow and laboratory
• Set your own threshold for contamination detection based on your results and experience
• Align NGS reads to host and bacterial genomes to examine potential contamination
• Set criteria for viral detection that include matching different regions of the viral genome with sufficient genome coverage
• Align contigs rather than single NGS reads to viral genomes
• Check the complexity of identified viral sequences to distinguish true signals from artifacts
• Take into consideration sequencing error
• Use verified and filtered viral databases for viral classification
• Remove PhiX phage sequences before data upload
• Use open-source decontamination software
• Use dedicated software for viral detection and phage identification
Data interpretation and good practices • For clinical diagnostic application, verify all potentially causative viral agents found in SM studies using PCRs
• Pay close attention and be critical with regards to non-vertebrae viruses found in virome of vertebrae hosts
• Perform batch/study/investigator associations with contaminants found in your data