Taxonomic assignment of uncultivated prokaryotic virus genomes is enabled by gene-sharing networks.

Microbiomes from every environment contain a myriad of uncultivated archaeal and bacterial viruses, but studying these viruses is hampered by the lack of a universal, scalable taxonomic framework. We present vConTACT v.2.0, a network-based application utilizing whole genome gene-sharing profiles for virus taxonomy that integrates distance-based hierarchical clustering and confidence scores for all taxonomic predictions. We report near-identical (96%) replication of existing genus-level viral taxonomy assignments from the International Committee on Taxonomy of Viruses for National Center for Biotechnology Information virus RefSeq. Application of vConTACT v.2.0 to 1,364 previously unclassified viruses deposited in virus RefSeq as reference genomes produced automatic, high-confidence genus assignments for 820 of the 1,364. We applied vConTACT v.2.0 to analyze 15,280 Global Ocean Virome genome fragments and were able to provide taxonomic assignments for 31% of these data, which shows that our algorithm is scalable to very large metagenomic datasets. Our taxonomy tool can be automated and applied to metagenomes from any environment for virus classification.

High coverage metabolomics analysis reveals phage-specific alterations to Pseudomonas aeruginosa physiology during infection.

Phage-mediated metabolic changes in bacteria are hypothesized to markedly alter global nutrient and biogeochemical cycles. Despite their theoretic importance, experimental data on the net metabolic impact of phage infection on the bacterial metabolism remains scarce. In this study, we tracked the dynamics of intracellular metabolites using untargeted high coverage metabolomics in Pseudomonas aeruginosa cells infected with lytic bacteriophages from six distinct phage genera. Analysis of the metabolomics data indicates an active interference in the host metabolism. In general, phages elicit an increase in pyrimidine and nucleotide sugar metabolism. Furthermore, clear phage-specific and infection stage-specific responses are observed, ranging from extreme metabolite depletion (for example, phage YuA) to complete reorganization of the metabolism (for example, phage phiKZ). As expected, pathways targeted by the phage-encoded auxiliary metabolic genes (AMGs) were enriched among the metabolites changing during infection. The effect on pyrimidine metabolism of phages encoding AMGs capable of host genome degradation (for example, YuA and LUZ19) was distinct from those lacking nuclease-encoding genes (for example, phiKZ), which demonstrates the link between the encoded set of AMGs of a phage and its impact on host physiology. However, a large fraction of the profound effect on host metabolism could not be attributed to the phage-encoded AMGs. We suggest a potentially crucial role for small, 'non-enzymatic' peptides in metabolism take-over and hypothesize on potential biotechnical applications for such peptides. The highly phage-specific nature of the metabolic impact emphasizes the potential importance of the 'phage diversity' parameter when studying metabolic interactions in complex communities.