A new version of the Virus Metadata Resource (VMR) spreadsheet has been released. This is version. 21, released on November 22, 2022. It can be downloaded from https://ictv.global/vmr/current. The ICTV chooses an exemplar virus for each species and the VMR provides a list of these exemplars.
Hadakaviridae
Matonaviridae is a family of small, enveloped viruses with single-
This article reports changes to the virus taxonomy ratified by the (ICTV) in March, 2022. The entire ICTV was invited to vote on 174 taxonomic proposals approved by the ICTV Executive Committee at its annual meeting in July 2021. All proposals were ratified by an absolute majority of the ICTV members.
The new 2021 ICTV taxonomy is now available online at https://ictv.global/taxonomy. The new Master Species List #37 is available for download as an Excel Spreadsheet.
Francesco Di Serio, Robert A. Owens, Shi-Fang Li, Jaroslav Matoušek, Vicente Pallás, John W. Randles, Teruo Sano, Jacobus Th. J. Verhoeven, Georgios Vidalakis, and Ricardo Flores
Jelle Matthijnssens, Houssam Attoui, Krisztián Bányai, Corina P. D. Brussaard, Pranav Danthi, Mariana del Vas, Terence S. Dermody, Roy Duncan, Qín Fāng (方勤), Reimar Johne, Peter P. C. Mertens, Fauziah Mohd Jaafar, John Patton, Takahide Sasaya (笹谷孝英), Nobuhiro Suzuki (鈴木信弘) and Taiyun Wei (魏太云)
Derek Gatherer, Daniel P. Depledge, Carol A. Hartley, Moriah L. Szpara, Paola K. Vaz, Mária Benkő, Curtis R. Brandt, Neil A. Bryant, Akbar Dastjerdi, Andor Doszpoly, Ursula A. Gompels, Naoki Inoue, Keith W. Jarosinski, Rajeev Kaul, Vincent Lacoste, Peter Norberg, Francesco C. Origgi, Richard J. Orton, Philip E. Pellett, D. Scott Schmid, Stephen J. Spatz, James P. Stewart, Jakob Trimpert, Thomas B. Waltzek and Andrew J. Davison
David Prangishvili and Mart Krupovic
The citation for this ICTV Report chapter is the summary published as Prangishvili et al., (2018):
ICTV Virus Taxonomy Profile: Ampullaviridae, Journal of General Virology, 99: 288–289.
Welcome to the new ICTV web site. This new web site will modernize the ICTV data access infrastructure to provide a stable, responsive, scalable information technology platform based on modern, cloud- based, open-source systems. This infrastructure will provide an easy-to-use web-based platform supporting significant enhancements to our ability to provide information and tools on virus classification and taxonomy.
