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. 2019 Jan;37(1):29-37.
doi: 10.1038/nbt.4306. Epub 2018 Dec 17.

Minimum Information about an Uncultivated Virus Genome (MIUViG)

Simon Roux  1 Evelien M Adriaenssens  2 Bas E Dutilh  3   4 Eugene V Koonin  5 Andrew M Kropinski  6 Mart Krupovic  7 Jens H Kuhn  8 Rob Lavigne  9 J Rodney Brister  5 Arvind Varsani  10   11 Clara Amid  12 Ramy K Aziz  13 Seth R Bordenstein  14 Peer Bork  15 Mya Breitbart  16 Guy R Cochrane  12 Rebecca A Daly  17 Christelle Desnues  18 Melissa B Duhaime  19 Joanne B Emerson  20 François Enault  21 Jed A Fuhrman  22 Pascal Hingamp  23 Philip Hugenholtz  24 Bonnie L Hurwitz  25   26 Natalia N Ivanova  1 Jessica M Labonté  27 Kyung-Bum Lee  28 Rex R Malmstrom  1 Manuel Martinez-Garcia  29 Ilene Karsch Mizrachi  5 Hiroyuki Ogata  30 David Páez-Espino  1 Marie-Agnès Petit  31 Catherine Putonti  32   33   34 Thomas Rattei  35 Alejandro Reyes  36 Francisco Rodriguez-Valera  37 Karyna Rosario  16 Lynn Schriml  38 Frederik Schulz  1 Grieg F Steward  39 Matthew B Sullivan  40   41 Shinichi Sunagawa  42 Curtis A Suttle  43   44   45   46 Ben Temperton  47 Susannah G Tringe  1 Rebecca Vega Thurber  48 Nicole S Webster  24   49 Katrine L Whiteson  50 Steven W Wilhelm  51 K Eric Wommack  52 Tanja Woyke  1 Kelly C Wrighton  17 Pelin Yilmaz  53 Takashi Yoshida  54 Mark J Young  55 Natalya Yutin  5 Lisa Zeigler Allen  56   57 Nikos C Kyrpides  1 Emiley A Eloe-Fadrosh  1
Affiliations

Minimum Information about an Uncultivated Virus Genome (MIUViG)

Simon Roux et al. Nat Biotechnol. 2019 Jan.

Abstract

We present an extension of the Minimum Information about any (x) Sequence (MIxS) standard for reporting sequences of uncultivated virus genomes. Minimum Information about an Uncultivated Virus Genome (MIUViG) standards were developed within the Genomic Standards Consortium framework and include virus origin, genome quality, genome annotation, taxonomic classification, biogeographic distribution and in silico host prediction. Community-wide adoption of MIUViG standards, which complement the Minimum Information about a Single Amplified Genome (MISAG) and Metagenome-Assembled Genome (MIMAG) standards for uncultivated bacteria and archaea, will improve the reporting of uncultivated virus genomes in public databases. In turn, this should enable more robust comparative studies and a systematic exploration of the global virosphere.

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Conflict of interest statement

The authors declare no competing financial interests.

Figures

Figure 1
Figure 1. Size of virus genome databases over time,,,,,,,,,,.
Genome sequences from isolates (blue and green) or from UViGs (yellow) are shown. For genomes from isolates, the total number of genomes (blue) and the number of 'reference' genomes (green) are shown. Data were downloaded using the queries “Viruses[Organism] AND srcdb_refseq[PROP] NOT wgs[PROP] NOT cellular organisms[ORGN] NOT AC_000001:AC_999999[PACC]” for reference genomes and “Viruses[Organism] NOT cellular organisms[ORGN] NOT wgs[PROP] NOT AC_000001:AC_999999[pacc] NOT gbdiv syn[prop] AND nuccore genome samespecies[Filter]” for total number of virus genomes, on the NCBI nucleotide database portal (https://www.ncbi.nlm.nih.gov/nuccore) in January 2018. Genomes from the influenza virus database (https://www.ncbi.nlm.nih.gov/genomes/FLU/Database/nph-select.cgi?go=genomeset) were also added to the total number of virus genomes. UViGs can be assembled from metagenomes, from proviruses identified in microbial genomes, or from single-virus genomes, and estimated total UViG numbers were obtained by compiling data from the literature and from the total number of sequences in the IMG/VR database in January 2017, January 2018 and July 2018 (https://img.jgi.doe.gov/vr/). UpViG, uncultivated provirus.
Figure 2
Figure 2. Identification of UViGs.
Schematic of methods used to obtain UViGs. Steps that have been adapted from those used to assemble MAGs and SAGs or added for UViG are shown for sample preparation (orange) and bioinformatics analysis (blue). Steps specifically required for virus targeting and identification are highlighted in bold. *For viruses with short genomes, long-read technologies can provide complete genomes from shotgun sequencing in a single read, bypassing the assembly step. **Targeted sequence capture can be used to recover viral genomes from a known virus group. These genomes can be recovered from samples in which they represent a small fraction of the templates (for example, clinical samples).
Figure 3
Figure 3. UViG classification and associated sequence analyses.
“Functional potential” is functional annotation used in gene content analysis. “Host prediction” is the application of different in silico host prediction tools. “Taxonomic classification” is classification of the contig to established groups using marker genes or gene content comparison. “Diversity and distribution” includes vOTU clustering and relative abundance estimation through metagenome read mapping, at the geographical scale or across anatomical sites for host-associated datasets. “New taxonomic groups” concerns the delineation of new proposed groups (for example, families or genera) based exclusively on UViG sequences. “New reference species” refers to the proposal of a new entry in ICTV (https://talk.ictvonline.org/files/taxonomy-proposal-templates/). *Some of these approaches require a minimum contig size—for example, contigs ≥10 kb for taxonomic classification based on gene content or diversity estimation—and will not be applicable to every genome fragment.

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