ALBERT

Description: Bacterial viruses (phages) are amongst the smallest, most powerful biological entities on Earth. Through infection, phages impact host metabolism, bacterial mortality, and evolution. In the oceans, 20–40% of surface microbes are infected, with 1023 new infections each second. Yet, infections remain virtually uncharacterized, as the available phage isolates underrepresent the diversity of marine phage–host interactions. Additionally, while sequencing efforts reveal “who is there?”, a gap between sequence and function prevents answering “what are they doing?” and “how?”. We have developed new Bacteroidetes and Proteobacteria marine phage–host model systems with which to connect genomes, infection strategies, and functions using both traditional and genome-wide “-omics” experiments. We ask: How do infections by genomically divergent phages compare? Are there links between phage–host genomes and infection strategies? Our findings are as follows. In Bacteroidetes, a phage infecting two nearly identical strains (host38 and host18) under identical conditions is more fit and efficient on host38. By contrast, on host18, it is less fit and, except for phage transcription, it fails at efficiently mastering all stages of the infection: from adsorption through to cell lysis. In Proteobacteria, genomically unrelated podovirus and siphovirus phages infecting the same strain reprogram host metabolisms very differently. Namely, siphovirus-infected cells hardly differ from uninfected and mainly repress energy-consuming processes such as motility and translation. By contrast, podovirus-infected cells greatly differ from uninfected cells in transcription and in uniquely shifting central carbon and energy metabolism. Additionally, the siphovirus is more complementary to the host than the podovirus in %GC, amino acids, and codon usage. We found that phage–host genome complementarity may drive the resource demand and fitness of a phage: the phage most complementary to its host easily accesses intracellular resources, infects with little reprogramming, and accomplishes the largest fitness, which has not previously been shown. Together, this work helps to uncover infection efficiency strategies, and connect genomes with metabolisms in marine phage–host systems.

Description: Viruses modulate microbial communities and alter ecosystem functions. However, due to cultivation bottlenecks, specific virus–host interaction dynamics remain cryptic. In this study, we examined 127 single-cell amplified genomes (SAGs) from uncultivated SUP05 bacteria isolated from a model marine oxygen minimum zone (OMZ) to identify 69 viral contigs representing five new genera within dsDNA Caudovirales and ssDNA Microviridae. Infection frequencies suggest that ∼1/3 of SUP05 bacteria is viral-infected, with higher infection frequency where oxygen-deficiency was most severe. Observed Microviridae clonality suggests recovery of bloom-terminating viruses, while systematic co-infection between dsDNA and ssDNA viruses posits previously unrecognized cooperation modes. Analyses of 186 microbial and viral metagenomes revealed that SUP05 viruses persisted for years, but remained endemic to the OMZ. Finally, identification of virus-encoded dissimilatory sulfite reductase suggests SUP05 viruses reprogram their host's energy metabolism. Together, these results demonstrate closely coupled SUP05 virus–host co-evolutionary dynamics with the potential to modulate biogeochemical cycling in climate-critical and expanding OMZs.

Description: Although millions of distinct virus species likely exist, only approximately 9000 are catalogued in GenBank's RefSeq database. We selectively enriched for the genomes of circular DNA viruses in over 70 animal samples, ranging from nematodes to human tissue specimens. A bioinformatics pipeline, Cenote-Taker, was developed to automatically annotate over 2500 complete genomes in a GenBank-compliant format. The new genomes belong to dozens of established and emerging viral families. Some appear to be the result of previously undescribed recombination events between ssDNA and ssRNA viruses. In addition, hundreds of circular DNA elements that do not encode any discernable similarities to previously characterized sequences were identified. To characterize these ‘dark matter’ sequences, we used an artificial neural network to identify candidate viral capsid proteins, several of which formed virus-like particles when expressed in culture. These data further the understanding of viral sequence diversity and allow for high throughput documentation of the virosphere.

Description: The ecological importance of viruses is now widely recognized, yet our limited knowledge of viral sequence space and virus–host interactions precludes accurate prediction of their roles and impacts. In this study, we mined publicly available bacterial and archaeal genomic data sets to identify 12,498 high-confidence viral genomes linked to their microbial hosts. These data augment public data sets 10-fold, provide first viral sequences for 13 new bacterial phyla including ecologically abundant phyla, and help taxonomically identify 7–38% of ‘unknown’ sequence space in viromes. Genome- and network-based classification was largely consistent with accepted viral taxonomy and suggested that (i) 264 new viral genera were identified (doubling known genera) and (ii) cross-taxon genomic recombination is limited. Further analyses provided empirical data on extrachromosomal prophages and coinfection prevalences, as well as evaluation of in silico virus–host linkage predictions. Together these findings illustrate the value of mining viral signal from microbial genomes.