Abstract

RNA viruses, particularly genetically diverse members of the Picornavirales, are widespread and abundant in the ocean. Gene surveys suggest that there are spatial and temporal patterns in the composition of RNA virus assemblages, but data on their diversity and genetic variability in different oceanographic settings are limited. Here, we show that specific RNA virus genomes have widespread geographic distributions and that the dominant genotypes are under purifying selection. Genomes from three previously unknown picorna-like viruses (BC-1, -2, and -3) assembled from a coastal site in British Columbia, Canada, as well as marine RNA viruses JP-A, JP-B, and Heterosigma akashiwo RNA virus exhibited different biogeographical patterns. Thus, biotic factors such as host specificity and viral life cycle, and not just abiotic processes such as dispersal, affect marine RNA virus distribution. Sequence differences relative to reference genomes imply that virus quasispecies are under purifying selection, with synonymous single-nucleotide variations dominating in genomes from geographically distinct regions resulting in conservation of amino acid sequences. Conversely, sequences from coastal South Africa that mapped to marine RNA virus JP-A exhibited more nonsynonymous mutations, probably representing amino acid changes that accumulated over a longer separation. This biogeographical analysis of marine RNA viruses demonstrates that purifying selection is occurring across oceanographic provinces. These data add to the spectrum of known marine RNA virus genomes, show the importance of dispersal and purifying selection for these viruses, and indicate that closely related RNA viruses are pathogens of eukaryotic microbes across oceans.IMPORTANCE Very little is known about aquatic RNA virus populations and genome evolution. This is the first study that analyzes marine environmental RNA viral assemblages in an evolutionary and broad geographical context. This study contributes the largest marine RNA virus metagenomic data set to date, substantially increasing the sequencing space for RNA viruses and also providing a baseline for comparisons of marine RNA virus diversity. The new viruses discovered in this study are representative of the most abundant family of marine RNA viruses, the Marnaviridae, and expand our view of the diversity of this important group. Overall, our data and analyses provide a foundation for interpreting marine RNA virus diversity and evolution.

Highlights

  • RNA viruses, genetically diverse members of the Picornavirales, are widespread and abundant in the ocean

  • Three previously unknown and nearly complete picorna-like virus genomes (BC-1, BC-2, and BC-3) were assembled from metagenomic data collected at Jericho Pier in April 2014 (JP14) (Fig. 1)

  • Poly(A) tails were identified at the 3= ends of the BC-2 and BC-3 genomes after untranslated regions (UTRs) of 315 and 273 nt, respectively, indicating that these regions were completely sequenced

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Summary

Introduction

RNA viruses, genetically diverse members of the Picornavirales, are widespread and abundant in the ocean. Genomes from three previously unknown picorna-like viruses (BC-1, -2, and -3) assembled from a coastal site in British Columbia, Canada, as well as marine RNA viruses JP-A, JP-B, and Heterosigma akashiwo RNA virus exhibited different biogeographical patterns Biotic factors such as host specificity and viral life cycle, and not just abiotic processes such as dispersal, affect marine RNA virus distribution. Sequences from coastal South Africa that mapped to marine RNA virus JP-A exhibited more nonsynonymous mutations, probably representing amino acid changes that accumulated over a longer separation This biogeographical analysis of marine RNA viruses demonstrates that purifying selection is occurring across oceanographic provinces. Viruses shape the ecology and evolution of marine microbial communities They are the most abundant biological entities in the ocean and are estimated to kill about 20% of its living biomass each day, affecting food web dynamics and biogeochemical cycling [1, 2]. RsRNAV has a smaller burst size (103 versus 104) and a longer infection cycle (2 days versus Ͻ24 h), so it should have a lower distribution potential

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