Viral entry at the human-animal interface; dissecting the pan-tropic nature of zoonotic viruses.
- Funded by UK Research and Innovation (UKRI)
- Total publications:4 publications
Grant number: BB/W006162/1
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Key facts
Disease
Disease XStart & end year
20222025Known Financial Commitments (USD)
$516,168.77Funder
UK Research and Innovation (UKRI)Principal Investigator
Dalan BaileyResearch Location
N/ALead Research Institution
N/AResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Pathogen morphology, shedding & natural history
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Anthropogenic shifts in patterns of land use, habitat infringement and climate change increase the probability of viruses such as SARS-CoV-2, the causative agent of Covid-19, spilling over into humans and/or animals. In turn, increased urbanisation and global travel, the absence of herd immunity and poor preparedness can contribute to turn a localised epidemic into a global pandemic. However, not all viruses in nature appear to share the same propensity to spill over; some are restricted to individual hosts while others have a broad host-range and represent a much greater risk to humans and/or animals (livestock, pets and wildlife). Developing a better understanding of the factors that determine the 'zoonotic potential' of viruses is especially prescient as we look to improve pandemic preparedness in a post-Covid-19 landscape. One of the most important factors to understand in this context is how viral entry (the process whereby the virus attaches to and invades a host cell) correlates with zoonotic potential. In general viruses use specific receptors (proteins or sugars) to enter cells. These can vary between hosts, representing an important point of restriction that directly influences host-range and the potential for spill over. Developing an understanding of this relationship for whole taxonomic groups of viruses (genera or families) will help scientists and stakeholders to assess which viruses represent the greatest risk to humans and animals. Characterising virus receptor usage and host-range at a broad level is technically challenging. For instance, choosing viruses which accurately represent the overall diversity of their family is prone to bias, favouring established pathogens over those isolated in their natural bat or rodent reservoirs. To address this, we have developed and optimised a pipeline which utilises bioinformatic algorithms to unbiasedly select representative viruses. Within this project we will use this approach to characterise the zoonotic potential of the coronavirus and arenavirus families. All human coronaviruses, as well as many of the coronaviruses which infect our pets and livestock, are thought to have a zoonotic origin (bats or rodents). The same is true for the arenaviruses, with viruses like Lassa continually spilling over from their rodent reservoirs. As proof-of-principle we have already gathered this dataset for the morbillivirus genus, uncovering a number of interesting restrictions which may explain the narrower host range of this smaller group (genus) of viruses. Our experimental pipeline will proceed as follows: Once we have selected representative viruses, we will use a range of state-of-the-art techniques to quantify their receptor usage and host-range. Subsequently, we will use mutagenesis and protein-binding experiments to dissect the genetic determinants of this zoonotic potential. The assembled scientific research team has a longstanding interest in this area, with broad and overlapping interests in the morbillivirus, coronavirus and arenavirus families. Previously, we have identified amino acid changes in animal morbillivirus attachment proteins which convey tropism to human receptors, solved the structures of arenavirus attachment proteins and more recently examined the likely bat-origin of SARS-CoV-2. The information we generate in this project will be used to improve our pandemic preparedness, helping us to identify high risk pathogens with broad host-ranges (based on entry). Ultimately this information could be used to design new drugs and vaccines, hopefully preventing future disease in humans and animals.
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