📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Identifying mechanisms driving spatiotemporal disease dynamics in converted landscapes

Lead Research Organisation: University of Glasgow
Department Name: College of Medical, Veterinary, Life Sci

Abstract

Around the globe, landscapes are being converted from natural habitats into a mosaic of agriculture and other human-dominated landscapes. These shifts in land use impact plant and animal species and usually lead to declines in biodiversity compared to undisturbed landscapes. Concomitant to this decline in biodiversity is a change in abundance and diversity of the pathogens that infect the animals and plants present. Transmission of a pathogen can decline or increase due to changes in availability of suitable hosts, changes in the abiotic environment, altered movement of hosts or some other impact of changing landscapes. It is timely and critical to quantify changes in pathogen burden, as there is an ongoing increase in frequency and scale of landscape conversion globally. We currently lack the ability to accurately predict the response of a particular pathogen in a landscape undergoing conversion.

In this project I will use a combination of approaches to disentangle factors affecting pathogens in changing landscapes: 1) I will establish a longitudinal survey of small mammals at sites that have been converted from natural forests to smallholder agricultural fields from 1 to 15 years prior. I will then examine how the small mammal abundance and diversity changes across time and determine how that impacts prevalence of a parasitic nematode. 2) I will investigate how the types of environments and distribution of different habitats across the regional landscape affect movement of hosts and pathogens between populations. 3) I will develop models and analyze a global database to investigate which underlying host, parasite, and environmental traits are important for predicting short-term responses to land conversion. This approach is expected to lead to an improved understanding of how pathogen transmission is altered in dynamic landscapes and provide a better ability to predict how transmission may change in the future, particularly with different anthropogenic induced land use change.
 
Description District level dissemination
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Implementation circular/rapid advice/letter to e.g. Ministry of Health
 
Description Policy Synthesis
Geographic Reach Multiple continents/international 
Policy Influence Type Contribution to new or improved professional practice
URL https://pdf.usaid.gov/pdf_docs/PA00Z5GN.pdf
 
Description IAPETUS2: Delivering excellence in PhD training across the spectrum of environmental science
Amount £11,185,566 (GBP)
Funding ID NE/S007431/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 08/2019 
End 09/2028
 
Description International Institutional Awards Tranche 1 Glasgow
Amount £270,830 (GBP)
Funding ID BB/Y514251/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 01/2024 
End 06/2024
 
Description LOreal-Unesco For Women in Science
Amount £15,000 (GBP)
Organisation United Nations Educational, Scientific and Cultural Organization 
Sector Academic/University
Country France
Start 06/2022 
End 07/2023
 
Description NEOF Pilot Genomics Competition
Amount £7,906 (GBP)
Funding ID NEOF No: 1486 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 08/2022 
End 01/2023
 
Description RESTOREID: Restoring Ecosystems to Stop the Threat of Re-emerging Infectious Diseases
Amount £132,259 (GBP)
Funding ID Horizon Europe Grant - covered by UKRI Guarantee 
Organisation United Kingdom Research and Innovation 
Sector Public
Country United Kingdom
Start 01/2024 
End 12/2027
 
Description The Blodwen Lloyd Binns Bequest
Amount £1,960 (GBP)
Organisation Glasgow Natural History Society 
Sector Learned Society
Country United Kingdom
Start 11/2024 
End 11/2025
 
Description US-UK Collab: Integrating metaviromics with epidemiological dynamics: understanding virus transmission in the Anthropocene
Amount £1,570,854 (GBP)
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 08/2023 
End 04/2028
 
Title Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019 
Description The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding. The dataset contains predictions of three proxies for host conditions (including food shortage, rehabilitation admissions and formation of a new roost) across eastern Australia in 2008-2019. The Roost Species Distribution Model (SDM) has predictions of roost suitability. These are monthly, spatially explicit predictions of particular conditions or probability of roost occupations. The model objects are iterations of models that were initially trained on data held in figshare (https://figshare.com/s/ddb5a1584609b20f6596). These data objects are linked with code provided at https://github.com/hanlab-ecol/BatOneHealth to be able to run the models and analyses. This includes comparisons of virus predictions of seven different multiscale model structures to observed Hendra virus shedding in field surveys. The purpose of this study was to determine if quantifying and incorporating host condition into epidemiological models improves predictions of virus shedding in space and time. The data objects relate to the 1,000 iterations run of this process to better able to account for uncertainty. 
Type Of Material Database/Collection of data 
Year Produced 2025 
Provided To Others? Yes  
Impact The modelling process is applicable to other disease systems and can be used by other researchers to evaluate the multi-scale impacts on disease outcomes. 
 
Title Seasonal dynamics of the wild rodent faecal virome 
Description Viral discovery studies in wild animals often rely on cross-sectional surveys at a single time point. As a result, our understanding of the temporal stability of wild animal viromes remains poorly resolved. While studies of single host-virus systems indicate that host and environmental factors influence seasonal virus transmission dynamics, comparable insights for whole viral communities in multiple hosts are lacking. Utilizing noninvasive faecal samples from a long-term wild rodent study, we characterized viral communities of three common European rodent species (Apodemus sylvaticus, A. flavicollis and Myodes glareolus) living in temperate woodland over a single year. Our findings indicate that a substantial fraction of the rodent virome is seasonally transient and associated with vertebrate or bacteria hosts. Further analyses of one of the most common virus families, Picornaviridae, show pronounced temporal changes in viral richness and evenness, which were associated with concurrent and up to ~3-month lags in host density, ambient temperature, rainfall and humidity, suggesting complex feedbacks from the host and environmental factors on virus transmission and shedding in seasonal habitats. Overall, this study emphasizes the importance of understanding the seasonal dynamics of wild animal viromes in order to better predict and mitigate zoonotic risks. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact The raw sequencing data generated in this study have been deposited in the Sequence Read Archive (BioProject ID: PRJNA803204) under accession nos.: SRX14033113-SRX14033125. Assembled picornavirus genomes have been deposited in GenBank under accession nos.: ON136174-ON136181. Data from the bioinformatics pipeline and metadata associated with this research are available on Dryad at doi:10.5061/dryad.612jm645s, while associated code is available via Github: https://github.com/jnarag/Wytham-rodent-virome 
URL https://datadryad.org/stash/dataset/doi:10.5061/dryad.612jm645s
 
Description COHRIE, https://www.uvri.go.ug/projects/cohrie-ug 
Organisation Uganda National Health Research Organisation
Country Uganda 
Sector Public 
PI Contribution We provided training for capture-mark recapture for PhD and Masters students in February 2025
Collaborator Contribution Provide expert opinion and knowledge exchange in August 2024. Ongoing contact to apply for new grants
Impact Ongoing training
Start Year 2024
 
Description Cary Institute 
Organisation Cary Institute of Ecosystem Studies
Country United States 
Sector Charity/Non Profit 
PI Contribution I provide expertise in genomic datasets, in particular those relevant to rodent-borne diseases.
Collaborator Contribution Partners provide expertise in machine learning.
Impact We have submitted an NSF-BBSRC UK-US Ecology and Evolution of Infectious Disease Grant- the outcome is still pending.
Start Year 2021
 
Description Smithsonian-ILRI 
Organisation Smithsonian Institution
Country United States 
Sector Public 
PI Contribution Sharing SOPs and study designs. Supported application for knowledge exchange visit
Collaborator Contribution Hosting a PhD student for field activities
Impact £5000 Travel grant to PhD student for knowledge exchange
Start Year 2023
 
Description Universiteit Antwerpen 
Organisation University of Antwerp
Country Belgium 
Sector Academic/University 
PI Contribution Our group provides UK data collection and analysis in restored landscapes to explore how woodland creation impacts disease
Collaborator Contribution University of Antwerp has led organization of project meetings
Impact We collaborated on a joint research proposal for Horizon Europe to examine how spatiotemporal changes in restoration affect disease dynamics
Start Year 2023
 
Description University of Stirling 
Organisation University of Stirling
Department Biological and Environmental Sciences
Country United Kingdom 
Sector Academic/University 
PI Contribution I provide pathogen diagnostic services and sample study design for extending the conservation research into disease ecology research
Collaborator Contribution The University of Stirling has established a landscape-level experiment (WReN) by identifying and gaining access to over 80 woodlands in Scotland that vary in age and connectivity to other woodlands. We are using these sites and metadata to understand how woodland creation impacts rodent populations and the diseases they carry
Impact We applied for and successfully recruited an IAPETUS2 Phd student who will continue research on rodents and their pathogens at WrEN sites.
Start Year 2022
 
Description Vector Control Division, Ministry of Health, Uganda 
Organisation Ministry of Health, Uganda
Department Vector Control Division
Country Uganda 
Sector Public 
PI Contribution Trained technicians in field and laboratory techniques. Provide advice and expertise on epidemiological modelling and zoonoses.
Collaborator Contribution Collaborators provide field support and translate research findings to local, regional and national stakeholders.
Impact Prior to my fellowship, we had several joint publications. New outputs are forthcoming.
Start Year 2016