ARTIC 2.0: A broader and deeper toolkit for real-time global pathogen detection, surveillance and outbreak response
Year of award: 2024
Grantholders
Dr Áine O'Toole
University of Edinburgh, United Kingdom
Prof Gordon Awandare
University of Ghana, Ghana
Prof Caroline Colijn
Simon Fraser University, Canada
Dr Jennifer Molloy
University of Cambridge, United Kingdom
Dr Joshua Quick
University of Birmingham, United Kingdom
Prof dr Emma Hodcroft
Swiss Tropical and Public Health Institute, Switzerland
Prof dr Placide Mbala
Institut National de Recherche Biomedicale, Congo, Democratic Republic of
Dr Rachel Colquhoun
University of Edinburgh, United Kingdom
Prof Nicholas Loman
University of Birmingham, United Kingdom
Prof Nicholas Loman
University of Birmingham, United Kingdom
Prof Ian Goodfellow
University of Cambridge, United Kingdom
Prof Andrew Rambaut
University of Edinburgh, United Kingdom
Dr George Githinji
Kemri-Wellcome Trust Research Programme, Kenya
Prof Nicholas Loman
University of Birmingham, United Kingdom
Project summary
The ARTIC network aims to enhance outbreak and epidemic response through real-time viral genome sequencing. Initially developed for high-consequence viruses like Ebola, the ARTIC protocol proved crucial during the COVID-19 pandemic, facilitating rapid SARS-CoV-2 sequencing and global dissemination. For ARTIC 2.0 we will broaden the scope considerably to include endemic human pathogens, arthropod-borne viruses and zoonotic viruses as well as challenging new threats like the spread of AMR. We will enhance our ability to conduct responsive investigations of unusual or concerning changes in the pattern of infectious disease anywhere in the world, by leveraging new tools such as metagenomics. This could be a cluster of hemorrhagic fever of unknown aetiology but equally a spike of incidence in a known endemic arbovirus or childhood viral disease like measles. What links these events is that the investigations have to be sufficiently rapid that the information acquired can lead to effective response. ARTIC 2.0 will create a fully equipped toolbox where a robust, low-cost and accessible set of tools, that make use of the same equipment, reagents and bioinformatics, are ready to be rapidly applied to a wide range of investigations guided by an extensive knowledge base and flexible analysis pipelines.