Abstract
In our world, which is faced today with exceptional environmental changes and dramatically intensifying globalisation, we are encountering challenges due to many new factors, including the emergence or re-emergence of novel, so far “unknown” infectious diseases. Although a broad arsenal of diagnostic methods is at our disposal, the majority of the conventional diagnostic tests is highly virus-specific or is targeted entirely towards a limited group of infectious agents. This specificity complicates or even hinders the detection of new or unexpected pathogens, such as new, emerging or re-emerging viruses or novel viral variants. The recently developed approaches of viral metagenomics provide an effective novel way to screen samples and detect viruses without previous knowledge of the infectious agent, thereby enabling a better diagnosis and disease control, in line with the “One World, One Health” principles (www.oneworldonehealth.org). Using metagenomic approaches, we have recently identified a broad variety of new viruses, such as novel bocaviruses, Torque Teno viruses, astroviruses, rotaviruses and kobuviruses in porcine disease syndromes, new virus variants in honeybee populations, as well as a range of other infectious agents in further host species. These findings indicate that the metagenomic detection of viral pathogens is becoming now a powerful, cultivation-independent, and useful novel diagnostic tool in veterinary diagnostic virology.
Keywords
Metagenomics; Sequencing; Unknown viruses; Virus detection; Diagnosis; Unknown aetiology
Published in
Veterinary Microbiology
2013, volume: 165, number: 1-2, pages: 95-101
SLU Authors
- Department of Animal Biosciences, Swedish University of Agricultural Sciences
- National Veterinary Institute (SVA)
- World Organization for Animal Health (OIE) Collaborating Centre for the Biotechnology-based Diagnosis of Infectious Diseases in Veterinary Medicine
Karlsson Lindsjö, Oskar
Granberg, Fredrik
UKÄ Subject classification
Diagnostic Biotechnology
Genetics and Genomics
Bioinformatics and Computational Biology (Methods development to be 10203)
Publication identifier
- DOI: https://doi.org/10.1016/j.vetmic.2013.01.022
Permanent link to this page (URI)
https://res.slu.se/id/publ/39771