Minimum Information about an Uncultivated Virus Genome (MIUViG)

By Simon Roux, Evelien M. Adriaenssens, Bas E. Dutilh, Eugene V. Koonin, Andrew Kropinski, M. Krupovic, J. Kuhn, Rob Lavigne, J. R. Brister, A. Varsani and 51 more. Nature Biotechnology, 2018

644 citations recorded by the source corpus.

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.

Subfields: Animal Science and Zoology, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/d665560bdc3c38621e12302514c335c4a4294117

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Citations in the corpus

IMG/VR v3: an integrated ecological and evolutionary framework for interrogating genomes of uncultivated viruses (2020, methodology): “Genome quality was assigned following the MIUViG standards (14).”
Identification of mobile genetic elements with geNomad (2023, positive): “To remove short genome fragments and contaminants from the IMG/VR sequences, we retained only sequences that contained direct terminal repeats or that fulfilled the requirements to be considered high quality according to the MIU-ViG standard 60 .”
VIBRANT: automated recovery, annotation and curation of microbial viruses, and evaluation of viral community function from genomic sequences (2020, methodology): “These quality analyses were determined to best reflect established completeness metrics for both bacteria and viruses [72, 73].”
iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria (2023, neutral): “One critical piece of information missing compared to isolated viruses is the host connection, which significantly limits the inference and biological knowledge extracted from viromics data [4].”
The European Nucleotide Archive in 2019 (2019, background): “• MIMAGs, for metagenome-assembled genomes (4); • MISAGs, for environmental single-cell amplified genomes (4); • MIUVIG, for environmental/uncultivated virus genomes (8).”
A practical guide to amplicon and metagenomic analysis of microbiome data (2020, background): “…about metagenome sequence (Field et al., 2008; Yilmaz et al., 2011), minimum information about a single ampli ﬁ ed genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea (Bowers et al., 2017), and minimum information about an uncultivated virus genome (Roux et al., 2019).”