Usher Institute

Virus ancestry could help predict next pandemic

Virus family history could help scientists identify which strains have potential to become the so-called Disease X that causes the next global pandemic.

Graphic of world map displaying pandemic outbreak hot spots in red

A study has identified 70 virus lineages – groups of related viruses – that pose the biggest risk. Viruses from other genetic backgrounds are unlikely to cause a high number of infections in humans, the research shows.

Scientists in the research team include Mark Woolhouse and Feifei Zhang, both from the Usher Institute, and others based in The University of Edinburgh, University of Liverpool and Peking University in China. The study was funded by the EU Horizon 2020 programme and the Biotechnology and Biological Sciences Research Council (BBSRC). The findings, recently published in Molecular Biology and Evolution, will support ongoing efforts to monitor and prepare for future pandemics, including guiding vaccine and diagnostic development, experts say.

Disease X

Disease X is the generic term used by the World Health Organization to represent a hypothetical, unidentified pathogen that could pose a significant threat to people.

RNA viruses carry their genetic information as RNA, a structure similar to DNA. They cause many diseases, including the common cold, Covid-19 and measles, and have been responsible for most epidemics, or global pandemics, in recent history.

Monitoring RNA viruses in animal populations could help to identify those that are most likely to emerge and spread rapidly in humans. However, the huge number in circulation makes this extremely challenging and expensive.

Virus evolution

The University of Edinburgh-led research team traced the lineage, or family tree, of 743 distinct RNA virus species to track how they evolved, including all species currently known to infect humans.

Researchers compared the development of strictly zoonotic viruses – those that spread from animals to humans, but not between people – with human-transmissible viruses, which can spread within human populations.

Human transmission

The findings showed that viruses that can spread within human populations typically evolve separately from strictly zoonotic viruses.

Human-transmissible viruses often emerge when related viruses from the same lineage can already spread between humans.

Strictly zoonotic viruses have historically not led to epidemics in human populations. Having a close relative that can infect humans, but not spread between them, does not appear to increase the risk of epidemic potential.

Streamline surveillance

The research team caution that there is still a chance the next pandemic could come as the result of a strictly zoonotic virus – such as bird flu – or an entirely new virus. However, the findings offer a route to help streamline surveillance for Disease X among the vast number of RNA viruses in existence.

The research team included scientists from the Universities of Edinburgh and Liverpool and Peking University in China. The study was funded by the EU Horizon 2020 programme and the BBSRC.

Viruses without the right ancestry don't seem to cause epidemics. Out of potentially huge numbers of mammal and bird viruses in circulation, we should concentrate on the ones that are related to existing human viruses with epidemic potential. This research narrows the search for the next Disease X enormously.

Mark WoolhouseProfessor of Infectious Disease Epidemiology, Usher Institute

Further information

Read the full journal publication

View Mark Woolhouse's profile

View Feifei Zhang's profile

View Lu Lu's profile (recently moved from Usher Institute to a position within The Royal (Dick) School of Veterinary Studies)

Horizon 2020 | European Commission

Biotechnology and Biological Sciences Research Council (BBSRC) | UKRI

Cite as

Lu Lu, Feifei Zhang, Liam Brierley, Gail Robertson, Margo Chase-Topping, Samantha Lycett, Mark Woolhouse, Temporal Dynamics, Discovery, and Emergence of Human-Transmissible RNA Viruses, Molecular Biology and Evolution, Volume 41, Issue 1, January 2024, msad272. https://doi.org/10.1093/molbev/msad272

Image credit: MR.Cole_Photographer via Getty Images