Corona_virus_Covid-19_FC By HFCM Communicatie - Own work, CC BY-SA 4.0
Corona_virus_Covid-19_FC By HFCM Communicatie - Own work, CC BY-SA 4.0

Risk of another coronavirus emerging may be much greater than we thought

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Peer-reviewed: This work was reviewed and scrutinised by relevant independent experts.

Simulation/modelling: This type of study uses a computer simulation or mathematical model to predict an outcome. The original values put into the model may have come from real-world measurements (eg: past spread of a disease used to model its future spread).

A UK study that used artificial intelligence to predict which animals could potentially host the next coronavirus to make the leap to humans has found we may be wildly underestimating the risk of another, completely new outbreak, and the chances of new strains of SARS -CoV-2 evolving in animals. The scientists identified mammals that are potential hosts for new strains of coronavirus, and suggest there are at least 11 times more associations between mammalian species and coronavirus strains than we've seen so far, and there are over 40 times more mammal species with four or more coronavirus strains than we know about. In addition, they say there may be 30 times more host species than currently known that have the potential to harbour new strains of SARS-CoV-2, including cats, hedgehogs, and rabbits.

Journal/conference: Nature Communications

Link to research (DOI): 10.1038/s41467-021-21034-5

Organisation/s: University of Liverpool, UK

Funder: M.W. acknowledges the support from BBSRC and MRC for the National Productivity Investment Fund (NPIF) fellowship (MR/R024898/1). M.W. and M.S.C.B acknowledge support from BBSRC IAA COVID - 168478. Establishment of the EID2 database was funded by a UK Research Council Grant (NE/G002827/1) to M.B., as part of an ERANET Environmental Health award to M.B.; subsequently, it has been further developed and maintained by BBSRC Tools and Resources Development Fund awards (BB/ K003798/1; BB/N02320X/1) to M.B., and the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Emerging and Zoonotic Infections at the University of Liverpool in partnership with Public Health England and Liverpool School of Tropical Medicine.

Media release

Predicting where new coronaviruses might come from 

The potential scale of novel coronavirus generation in wild and domesticated animals may have been highly underappreciated, suggests a machine-learning study published in Nature Communications. The paper identifies mammals that are potential hosts for new strains of coronavirus, including species implicated in previous outbreaks (such as horseshoe bats, palm civets and pangolins) and some novel candidates. Predicting which animals could potentially be the source of a future coronavirus outbreak may guide approaches to reduce the risk of emergence in human populations.

New coronaviruses can emerge when two different strains co-infect an animal, causing the viral genetic material to recombine. Our understanding of how susceptible different mammals are to different coronaviruses has been limited; such information could offer insights into where recombination might occur. Maya Wardeh and colleagues sought to bridge this gap in our knowledge using a machine-learning approach to predict relationships between 411 strains of coronavirus and 876 potential mammalian host species.

The authors predict the mammals that are most likely to be co-infected, and therefore be potential recombination hosts for the production of novel coronaviruses. Their analyses suggest that there are at least 11 times more associations between mammalian species and coronavirus strains than empirical observations have so far demonstrated. In addition, they estimate that there are over 40 times more mammal species with four or more coronavirus strains than has previously been observed. For example, the Asian palm civet and greater horseshoe bat are predicted to be host to 32 and 68 different coronaviruses, respectively. The authors also identify hosts in which SARS-CoV-2 recombination could occur, and indicate that there may be 30 times more host species than currently known that have the potential to harbour new strains of SARS-CoV-2. Notable new predicted hosts in which SARS-CoV-2 might potentially recombine with other coronaviruses include the common hedgehog, the European rabbit and the dromedary camel.

The authors acknowledge that their results draw on limited data on coronavirus genomes and virus-host associations, and that there are study biases for certain animal species, all of which present uncertainty in the predictions. However, the identification of potentially high-risk species for the generation of new strains of coronavirus may assist surveillance efforts, which could help inform prevention and mitigation strategies and provide an early warning system for future novel coronaviruses, the authors conclude.

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