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Summary: Viruses represent a driving force in the evolution of microorganisms including those thriving in extreme environments. However, our knowledge of the viral diversity associated to microorganisms inhabiting the deep‐sea hydrothermal vents remains limited. The phylum of Thermotogae, including thermophilic bacteria, is well represented in this environment. Only one virus was described in this phylum, MPV1 carried by Marinitoga piezophila. In this study, we report on the functional and genomic characterization of two new bacterioviruses that infect bacteria from the Marinitoga genus. Marinitoga camini virus 1 and 2 (MCV1 and MCV2) are temperate siphoviruses with a linear dsDNA genome of 53.4 kb and 50.5 kb respectively. Here, we present a comparative genomic analysis of the MCV1 and MCV2 viral genomes with that of MPV1. The results indicate that even if the host strains come from geographically distant sites, their genomes share numerous similarities. Interestingly, heavy metals did not induce viral production, instead the host of MCV1 produced membrane vesicles. This study highlights interaction of mobile genetic elements (MGE) with their hosts and the importance of including hosts‐MGEs' relationships in ecological studies. [ABSTRACT FROM AUTHOR]

Viruses represent a driving force in the evolution of microorganisms including those thriving in extreme environments. However, our knowledge of the viral diversity associated to microorganisms inhabiting the deep-sea hydrothermal vents remains limited. The phylum of Thermotogae, including thermophilic bacteria, is well represented in this environment. Only one virus was described in this phylum, MPV1 carried by Marinitoga piezophila. In this study, we report on the functional and genomic characterization of two new bacterioviruses that infect bacteria from the Marinitoga genus. Marinitoga camini virus 1 and 2 (MCV1 and MCV2) are temperate siphoviruses with a linear dsDNA genome of 53.4 kb and 50.5 kb respectively. Here, we present a comparative genomic analysis of the MCV1 and MCV2 viral genomes with that of MPV1. The results indicate that even if the host strains come from geographically distant sites, their genomes share numerous similarities. Interestingly, heavy metals did not induce viral production, instead the host of MCV1 produced membrane vesicles. This study highlights interaction of mobile genetic elements (MGE) with their hosts and the importance of including hosts-MGEs' relationships in ecological studies., (© 2017 Society for Applied Microbiology and John Wiley & Sons Ltd.)

Aims: A major challenge in metagenome studies is to estimate the true size of all combined genomes. Here, we present a novel approach to estimate the size of all combined genomes for low coverage next-generation sequencing (NGS) data through empirically determined copy numbers of random DNA fragments., Methods and Results: Size estimates were made based on analyses of two experimental soil micro-ecosystems - simulating soil with and without earthworms. Our analyses showed combined genome sizes of about log 11 nucleotides for each of the soil micro-ecosystems, as estimated from qPCR determined copy numbers of random DNA fragments. This corresponds to more than 20000 unique bacterial genomes in each sample. There seemed, however, to be a bacterial subpopulation in the earthworm soil, not being present in the nonearthworm soil. To describe the structure of the metagenomes, both total DNA and amplified 16S rRNA gene sequence libraries were generated with 454-sequencing. Bioinformatic analysis of 454 sequence libraries showed a large functional but low taxonomic overlap between the samples with and without earthworms. A neutrality test indicated that rare species have a competitive advantage over abundant species in both micro-ecosystems providing a potential explanation for the large metagenome sizes., Conclusions: We have shown that the soil metagenome is very large and that the large size is probably a consequence of top-down selection of the dominant bacterial species., Significance and Impact of the Study: Estimates of metagenome size from low coverage NGS data will be important for guiding future NGS set-ups., (© 2012 The Society for Applied Microbiology.)