A new database has been set up for Lactococcus garvieae to support the MLST scheme described in Ferrario et al. 2013 PLoS One 8:e84796. The database is curated by Guilherme Campos, Universidade Federal de Minas Gerais, Brazil.
Updates
A MLST scheme for Streptococcus mitis is now available. This has been developed by Akuzike Kalizang’oma and Chrispin Chaguza and is described in Kalizang’oma et al. 2022 J. Clin Microbiol.
If you use the Meningococcal Deduced Vaccine Antigen Reactivity (MenDeVAR) Index to test for Bexsero or Trumenba vaccine coverage of meningococcal isolates, note that this is now accessible via the PubMLST API, facilitating its use in analysis pipelines. See https://pubmlst.org/organisms/neisseria-spp/mendevar-via-api.
A cgMLST scheme for Burkholderia mallei is now available. This has been developed by Sandra Appelt and Holger Scholz at the Robert Koch-Institut, Berlin, Germany. It is described in Appelt et al. 2022 PLoS One 17:e0270499.
A MLST scheme for Bacteroides fragilis is now available. This has been developed by Ulrik Stenz Justesen and Flemming Damgaard Nielsen at the Odense University Hospital, Denmark.
BIGSdb v1.32.0 has been released. This adds new optional front-end dashboards to isolate databases hosted on PubMLST.
A cgMLST scheme for the livestock pathogen Clostridium chauvoei is now available. The scheme is described in Thomas et el. 2021 Front Microbiol, DOI: 10.3389/fmicb.2021.732106.
A PubMLST forum event on sexually transmitted diseases was held on Friday 11th June. Videos of the event are now available on the PubMLST YouTube channel.
COVID-19 lockdowns significantly reduced transmission of invasive bacterial diseases.
PubMLST infrastructure used for collating data for large study involving reference laboratories in 26 countries. See full press release and the published paper in Lancet Digital Health.
A MLST scheme for the pathogen Mammaliicoccus sciuri is now available. This has been developed by Igor Loncaric and Michael Szostak at the University of Veterinary Medicine, Vienna, Austria.
A MLST scheme for the goose pathogen Mycoplasma anserisalpingitidis is now available. This has been developed by Áron Kovács and colleagues at the Institute for Veterinary Medical Research, Hungary and is described in Grózner et al. 2020 Vet Microbiol, In press.
A preprint has been published describing the Invasive Respiratory Infection Surveillance (IRIS) Initiative that reveals significant reductions in invasive bacterial infections during the COVID-19 pandemic. The IRIS project nicely demonstrates how the PubMLST database infrastructure can be used to facilitate both public and private data collection and organisation for a large international consortium.