Updates

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.

Videos from the PubMLST showcase event on November 13 are now available online.

If you're a curator on PubMLST, you can now modify how you receive E-mail notification of submissions. Reduce the frequency to daily digests if you're getting too many. Options can be set in your PubMLST account settings (https://pubmlst.org/bigsdb).

We have updated the Haemophilus parasuis database to reflect the change in taxonomy to Glaesserella parasuis. Old links will continue to work.

We have unveiled a new look for the site today. Many thanks to the web development team at Manta Ray Media for all their efforts.

A MLST scheme for Aggregatibacter actinomycetemcomitans, a causative agent of chronic periodontitis, is now available. This scheme has been developed by Niels Nørskov-Lauritsen and Signe Nedergaard, Aarhus University Hospital, Denmark.

A MLST scheme for Staphylococcus chromogenes is now available. This has been developed by George Sensabaugh (University of California), John Barlow (University of Vermont), and colleagues.

A new database and cgMLST scheme for Xanthomonas citri, the causative agent of citrus canker, is now available. The scheme has been developed by Mark Enright and colleagues at Manchester Metropolitan University, UK.

A MLST scheme for Mycoplasma flocculare is now available. This scheme was developed by Corinne Marois and colleagues, ANSES, France.

A MLST scheme for Bartonella washoensis is now available. This was first described by Soichi Maruyama and colleagues in 2011, but is now available in a database thanks to Friederike von Loewenich.

A MLST scheme for "Candidatus Liberibacter solanacearum" has been developed by Minna Haapalainen and colleagues at the University of Helsinki, Finland, and is now available.