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      Environmental Viral Genomes Shed New Light on Virus-Host Interactions in the Ocean

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          Abstract

          Viruses are diverse and play significant ecological roles in marine ecosystems. However, our knowledge of genome-level diversity in viruses is biased toward those isolated from few culturable hosts. Here, we determined 1,352 nonredundant complete viral genomes from marine environments. Lifting the uncertainty that clouds short incomplete sequences, whole-genome-wide analysis suggests that these environmental genomes represent hundreds of putative novel viral genera. Predicted hosts include dominant groups of marine bacteria and archaea with no isolated viruses to date. Some of the viral genomes encode many functionally related enzymes, suggesting a strong selection pressure on these marine viruses to control cellular metabolisms by accumulating genes.

          ABSTRACT

          Metagenomics has revealed the existence of numerous uncharacterized viral lineages, which are referred to as viral “dark matter.” However, our knowledge regarding viral genomes is biased toward culturable viruses. In this study, we analyzed 1,600 (1,352 nonredundant) complete double-stranded DNA viral genomes (10 to 211 kb) assembled from 52 marine viromes. Together with 244 previously reported uncultured viral genomes, a genome-wide comparison delineated 617 genus-level operational taxonomic units (OTUs) for these environmental viral genomes (EVGs). Of these, 600 OTUs contained no representatives from known viruses, thus putatively corresponding to novel viral genera. Predicted hosts of the EVGs included major groups of marine prokaryotes, such as marine group II Euryarchaeota and SAR86, from which no viruses have been isolated to date, as well as Flavobacteriaceae and SAR116. Our analysis indicates that marine cyanophages are already well represented in genome databases and that one of the EVGs likely represents a new cyanophage lineage. Several EVGs encode many enzymes that appear to function for an efficient utilization of iron-sulfur clusters or to enhance host survival. This suggests that there is a selection pressure on these marine viruses to accumulate genes for specific viral propagation strategies. Finally, we revealed that EVGs contribute to a 4-fold increase in the recruitment of photic-zone viromes compared with the use of current reference viral genomes.

          IMPORTANCE Viruses are diverse and play significant ecological roles in marine ecosystems. However, our knowledge of genome-level diversity in viruses is biased toward those isolated from few culturable hosts. Here, we determined 1,352 nonredundant complete viral genomes from marine environments. Lifting the uncertainty that clouds short incomplete sequences, whole-genome-wide analysis suggests that these environmental genomes represent hundreds of putative novel viral genera. Predicted hosts include dominant groups of marine bacteria and archaea with no isolated viruses to date. Some of the viral genomes encode many functionally related enzymes, suggesting a strong selection pressure on these marine viruses to control cellular metabolisms by accumulating genes.

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          FLASH: fast length adjustment of short reads to improve genome assemblies.

          Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. t.magoc@gmail.com.
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            Protein homology detection by HMM-HMM comparison.

            Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and evolution. We have generalized the alignment of protein sequences with a profile hidden Markov model (HMM) to the case of pairwise alignment of profile HMMs. We present a method for detecting distant homologous relationships between proteins based on this approach. The method (HHsearch) is benchmarked together with BLAST, PSI-BLAST, HMMER and the profile-profile comparison tools PROF_SIM and COMPASS, in an all-against-all comparison of a database of 3691 protein domains from SCOP 1.63 with pairwise sequence identities below 20%.Sensitivity: When the predicted secondary structure is included in the HMMs, HHsearch is able to detect between 2.7 and 4.2 times more homologs than PSI-BLAST or HMMER and between 1.44 and 1.9 times more than COMPASS or PROF_SIM for a rate of false positives of 10%. Approximately half of the improvement over the profile-profile comparison methods is attributable to the use of profile HMMs in place of simple profiles. Alignment quality: Higher sensitivity is mirrored by an increased alignment quality. HHsearch produced 1.2, 1.7 and 3.3 times more good alignments ('balanced' score >0.3) than the next best method (COMPASS), and 1.6, 2.9 and 9.4 times more than PSI-BLAST, at the family, superfamily and fold level, respectively.Speed: HHsearch scans a query of 200 residues against 3691 domains in 33 s on an AMD64 2GHz PC. This is 10 times faster than PROF_SIM and 17 times faster than COMPASS.
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              Ray Meta: scalable de novo metagenome assembly and profiling

              Voluminous parallel sequencing datasets, especially metagenomic experiments, require distributed computing for de novo assembly and taxonomic profiling. Ray Meta is a massively distributed metagenome assembler that is coupled with Ray Communities, which profiles microbiomes based on uniquely-colored k-mers. It can accurately assemble and profile a three billion read metagenomic experiment representing 1,000 bacterial genomes of uneven proportions in 15 hours with 1,024 processor cores, using only 1.5 GB per core. The software will facilitate the processing of large and complex datasets, and will help in generating biological insights for specific environments. Ray Meta is open source and available at http://denovoassembler.sf.net.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                mSphere
                mSphere
                msph
                msph
                mSphere
                mSphere
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2379-5042
                1 March 2017
                Mar-Apr 2017
                : 2
                : 2
                : e00359-16
                Affiliations
                [a ]Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan
                [b ]Graduate School of Agriculture, Kyoto University, Kyoto, Japan
                [c ]Department of Microbiology, the Ohio State University, Columbus, Ohio, USA
                [d ]Research Institute of Environment, Agriculture and Fisheries, Osaka Prefecture, Osaka, Japan
                [e ]CNRS, IGS UMR 7256, Aix Marseille Université, Marseille, France
                [f ]Department of Civil, Environmental and Geodetic Engineering, the Ohio State University, Columbus, Ohio, USA
                National Institute of Advanced Industrial Science and Technology
                Author notes
                Address correspondence to Hiroyuki Ogata, ogata@ 123456kuicr.kyoto-u.ac.jp , or Takashi Yoshida, yoshiten@ 123456kais.kyoto-u.ac.jp .

                Citation Nishimura Y, Watai H, Honda T, Mihara T, Omae K, Roux S, Blanc-Mathieu R, Yamamoto K, Hingamp P, Sako Y, Sullivan MB, Goto S, Ogata H, Yoshida T. 2017. Environmental viral genomes shed new light on virus-host interactions in the ocean. mSphere 2:e00359-16. https://doi.org/10.1128/mSphere.00359-16.

                Article
                mSphere00359-16
                10.1128/mSphere.00359-16
                5332604
                28261669
                7d3ec956-b0d1-470b-9763-4433e754e9e7
                Copyright © 2017 Nishimura et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 7 December 2016
                : 2 February 2017
                Page count
                supplementary-material: 10, Figures: 8, Tables: 2, Equations: 0, References: 107, Pages: 19, Words: 12800
                Funding
                Funded by: The Canon Foundation
                Award ID: 203143100025
                Award Recipient : Yoshihiko Sako Award Recipient : Hiroyuki Ogata Award Recipient : Takashi Yoshida
                Funded by: Collaborative Research Program of the Institute for Chemical Reserach, Kyoto University
                Award ID: 2016-28
                Award Recipient : Hiroyuki Ogata Award Recipient : Takashi Yoshida
                Funded by: University of Arizona Technology and Research Initiative Fund
                Award ID: Water Environmental and Energy Solutions Inititative
                Award Recipient : Simon Roux
                Funded by: Agence Nationale de la Recherche (ANR) https://doi.org/10.13039/501100001665
                Award ID: ANR-11-BTBR-0008
                Award Recipient : Pascal Hingamp
                Funded by: Gordon and Betty Moore Foundation (Gordon E. and Betty I. Moore Foundation) https://doi.org/10.13039/100000936
                Award ID: 3790
                Award ID: GBMF2631
                Award Recipient : Matthew B. Sullivan
                Funded by: Ministry of Education, Culture, Sports, Science and Technology (MEXT) https://doi.org/10.13039/501100001700
                Award ID: 16H06429
                Award ID: 16K21723
                Award ID: 16H06437
                Award Recipient : Hiroyuki Ogata Award Recipient : Takashi Yoshida
                Funded by: MEXT | Japan Society for the Promotion of Science (JSPS) https://doi.org/10.13039/501100001691
                Award ID: 26430184
                Award ID: 16KT0020
                Award Recipient : Hiroyuki Ogata
                Categories
                Research Article
                Ecological and Evolutionary Science
                Custom metadata
                March/April 2017

                genome,marine ecosystem,metabolism,metagenomics,virus
                genome, marine ecosystem, metabolism, metagenomics, virus

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