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. 2020 Mar 26;11:450. doi: 10.3389/fmicb.2020.00450

TABLE 1.

Applications, benefits and limitations of technologies used for the study of rumen viruses.

Method Application and benefits Limitations Example publications
Microscopy TEM Visualization of viral particle morphology Specialized equipment Hoogenraad et al., 1967; Ritchie et al., 1970; Klieve and Bauchop, 1988
Estimation of viral numbers Sample preparation can bias enumeration
Time consuming and expensive
Cannot determine viral particle viability and biological attributes
Molecular Biology PFGE Provides snapshot of viral community and estimation of viral numbers Cannot provide taxonomic and functional gene information Klieve and Swain, 1993; Swain et al., 1996a
Isolation Confirms viral particle viability Requires availability of susceptible microbial host Klieve, 2005; Gilbert and Klieve, 2015
Allows viral cultivation and storage in reference collections Bias from sample preparation methods (e.g. exclusion of large viral particles)
Enables determination of biological parameters (host range, growth, replication and survival)
Allows extraction and sequencing of virus-specific nucleic acids
Allows viral protein purification
Sequencing Viral fraction Provides snapshot of viral community structure Requires isolation of intact viral particles from environmental samples Breitbart et al., 2002; Clokie et al., 2011; Berg Miller et al., 2012; Anderson et al., 2017
Provides taxonomic and functional gene information Bias from sample preparation methods (e.g. exclusion of large viral particles)
Overcomes technical limitations from low concentrations of viral DNA in environmental samples Bias from any DNA amplification steps
High percentage of uncharacterized viral genes limits annotation of gene function and viral taxonomy
Sequence assembly bias and challenges
Cannot determine viral particle viability and biological attributes
Difficult to identify viral lifecycles (e.g. lysogeny) and virus:host interactions
Metagenomics Provides snapshot of viral community structure Virus sequence numbers relatively low Dinsdale et al., 2008; Willner et al., 2009
Captures sequences from intact viral particles and integrated prophages High percentage of uncharacterized viral genes limits annotation of gene function and viral taxonomy
Provides viral taxonomic and functional gene information Difficult to identify viral lifecycles (e.g. lysogeny) and virus:host interactions
Cannot determine viral particle viability and biological attributes
Bias toward detection of double stranded DNA phages
Transcriptomics Identifies actively replicating viral genes Virus sequence numbers relatively low Hitch et al., 2019
Allows detection of viruses with RNA genomes Bias toward identification of over-expressed viral genes (e.g. structural proteins)
High percentage of uncharacterized viral genes limits annotation of gene function and viral taxonomy
Difficult to identify viral lifecycles (e.g. lysogeny) and virus:host interactions
Cannot determine viral particle viability and biological attributes
Whole genome sequencing Provides complete viral genome sequences For lytic viruses requires pure, viable virus isolates Leahy et al., 2010; Kelly et al., 2014; Gilbert et al., 2017
Viral reference sequences increase the accuracy of sequence analysis For lysogenic viruses requires viable prokaryote hosts containing intact, integrated prophage/s
Provides structural and functional viral protein information High percentage of uncharacterized viral genes limits annotation of gene function
Indicates mechanisms of virus:host interactions and viral replication
Enables assignment of taxonomy and phylogenetic comparison
Proteomics Detects proteins produced by actively replicating viruses Virus proteins found in relatively low concentrations Solden et al., 2018
Difficult to identify viral lifecycles (e.g. lysogeny) and virus:host interactions
High percentage of uncharacterized viral proteins limits functional annotation
Bias toward identification of over-produced viral proteins (e.g. structural proteins)