[18-EEID US-UK DDCOVMP] Drivers of diversity and transmission of co-circulating viral lineages in host meta-populations
Lead Research Organisation:
University of Edinburgh
Department Name: The Roslin Institute
Abstract
Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) is endemic in the USA, Asia and Europe, including the UK, and is considered the most important disease to control in swine populations. There are two distinct genotypes: PRRSV-1 mostly found in Europe and Asia, and PRRSV-2 predominating in the Americas but also in Asia and Europe. Additionally PRRSV-2 has also evolved a highly pathogenic type, which has now spread from China to other Asian countries. Vaccines against PRRSV-1 and PRRSV-2 exist, but due to the host response to PRRSV and since PRRSV is a rapidly evolving RNA virus with wide genetic variation and multiple sub-lineages, vaccines cannot be assumed to be fully protective.
In this collaborative US-UK project we will investigate how ongoing viral evolution and variable cross-immunity to different viral strains influences circulation of these rapidly evolving viruses. In particular we will evaluate how partial immunity influences evolution within and between hosts using an experimental study, where quasi-species evolution will be tracked via next generation sequencing. To quantify viral evolution and patterns of repeated invasions of different viral lineages in field settings we will monitor farms and whole genome sequence the strains over time. We will also quantify how spatial heterogeneities in cross-immunity (based on previous infection and vaccination) and population connectivity influence co-circulation and interactions among viral lineages using a dataset of exceptional spatiotemporal resolution that covers ~20% of the U.S. sow population. Finally we will use this knowledge to perform simulation modelling to elucidate how spatial and temporal variation in cross-immunity influences evolutionary dynamics of co-circulating PRRSV lineages in realistic scenarios, which will ultimately enable us to predict what the risks of infection are to up coming PRRSV strains, and thus aid selection of the most appropriate vaccines as part of PRRSV control strategies.
In this collaborative US-UK project we will investigate how ongoing viral evolution and variable cross-immunity to different viral strains influences circulation of these rapidly evolving viruses. In particular we will evaluate how partial immunity influences evolution within and between hosts using an experimental study, where quasi-species evolution will be tracked via next generation sequencing. To quantify viral evolution and patterns of repeated invasions of different viral lineages in field settings we will monitor farms and whole genome sequence the strains over time. We will also quantify how spatial heterogeneities in cross-immunity (based on previous infection and vaccination) and population connectivity influence co-circulation and interactions among viral lineages using a dataset of exceptional spatiotemporal resolution that covers ~20% of the U.S. sow population. Finally we will use this knowledge to perform simulation modelling to elucidate how spatial and temporal variation in cross-immunity influences evolutionary dynamics of co-circulating PRRSV lineages in realistic scenarios, which will ultimately enable us to predict what the risks of infection are to up coming PRRSV strains, and thus aid selection of the most appropriate vaccines as part of PRRSV control strategies.
Technical Summary
For genetically diverse viruses, ecological interactions between different genetic lineages can occur if infection by one lineage confers partial cross-immunity to a related lineage. In animal populations interactions amongst co-circulating viral lineages could play strong roles in shaping transmission dynamics, e.g. driving immune-mediated selection or frequency dependent fitness advantages amongst the lineages. We hypothesize that continual viral evolution and variable cross-immunity to viral variants influences circulation of rapidly evolving viruses, and this in turn shapes disease distributions between host metapopulations.
The question is particularly pertinent to the RNA virus Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) in domestic swine herds. PRRSV is highly prevalent in the United States, Asia, Europe including the UK, and is considered an important virus to control by the swine industry. High levels of genetic diversity even within the two main types, leads to semi-regular outbreaks of different variants over time and across space.
This collaborative US-UK project is about "landscapes of cross-immunity" using both experimental transmission experiments and field studies. Specifically we will (i) evaluate between and within host evolution using deep sequencing methods in a transmission experiment (ii) longitudinally monitor and obtain whole genome sequences from farms with variable levels of cross-immunity (from past infection or vaccination) (iii) quantify how spatial heterogeneities in cross-immunity and population connectivity influence co-circulation using network science and phylodynamic methods (iv) create and run realistic simulation models to show how cross-immunity influences evolutionary dynamics of co-circulating PRRSV lineages.
Our study provides the opportunity to understand and predict how vaccination can alter the ecological transmission dynamics for important animal multi-lineage pathogens such as PRRSV.
The question is particularly pertinent to the RNA virus Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) in domestic swine herds. PRRSV is highly prevalent in the United States, Asia, Europe including the UK, and is considered an important virus to control by the swine industry. High levels of genetic diversity even within the two main types, leads to semi-regular outbreaks of different variants over time and across space.
This collaborative US-UK project is about "landscapes of cross-immunity" using both experimental transmission experiments and field studies. Specifically we will (i) evaluate between and within host evolution using deep sequencing methods in a transmission experiment (ii) longitudinally monitor and obtain whole genome sequences from farms with variable levels of cross-immunity (from past infection or vaccination) (iii) quantify how spatial heterogeneities in cross-immunity and population connectivity influence co-circulation using network science and phylodynamic methods (iv) create and run realistic simulation models to show how cross-immunity influences evolutionary dynamics of co-circulating PRRSV lineages.
Our study provides the opportunity to understand and predict how vaccination can alter the ecological transmission dynamics for important animal multi-lineage pathogens such as PRRSV.
Planned Impact
Circulation of Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) in swine populations in the USA, Asia and Europe, including the UK, causes large economic losses to the industry, and is considered the most important disease to control. In this collaborative US-UK project viral evolution in swine populations are investigated alongside the effects of natural cross-immunity or vaccine induced immunity.
The potential non-academic beneficiaries of this research include government stakeholders, pig breeding companies and producers leading to ultimately users of pig products, including retailers and consumers. There are also potential benefits to the pig vaccine sector.
Benefits from this project to the policy makers include information that could be helpful in considering control and eradication programmes, and include: insights into the diversity and evolution of the virus; factors influencing the occurrence of different strains of the virus; information on the deployment of vaccines to control diverse viral strains and how to reduce/limit future diversification and spread.
Benefits from this project to the swine industry include improved information about currently circulating and possible future strains, enabling deployment of appropriate vaccines or other control measures, and avoidance of production losses due to this disease as well as costs associated with controlling outbreaks.
By undertaking sequencing studies, this project will generate detailed genetic information about PRRSV, and this information, together with the modelling studies on the effect of animals with different immunities, could be used to inform future vaccine designs.
In addition to the wider public consumers, the benefit to the wider public from this project will be through public engagement activities relating to generating an understanding of herd immunity and disease spread and control.
The potential non-academic beneficiaries of this research include government stakeholders, pig breeding companies and producers leading to ultimately users of pig products, including retailers and consumers. There are also potential benefits to the pig vaccine sector.
Benefits from this project to the policy makers include information that could be helpful in considering control and eradication programmes, and include: insights into the diversity and evolution of the virus; factors influencing the occurrence of different strains of the virus; information on the deployment of vaccines to control diverse viral strains and how to reduce/limit future diversification and spread.
Benefits from this project to the swine industry include improved information about currently circulating and possible future strains, enabling deployment of appropriate vaccines or other control measures, and avoidance of production losses due to this disease as well as costs associated with controlling outbreaks.
By undertaking sequencing studies, this project will generate detailed genetic information about PRRSV, and this information, together with the modelling studies on the effect of animals with different immunities, could be used to inform future vaccine designs.
In addition to the wider public consumers, the benefit to the wider public from this project will be through public engagement activities relating to generating an understanding of herd immunity and disease spread and control.
Organisations
Publications

Anacleto O
(2019)
Genetic differences in host infectivity affect disease spread and survival in epidemics.
in Scientific reports

Bailey RI
(2020)
Pathogen transmission from vaccinated hosts can cause dose-dependent reduction in virulence.
in PLoS biology

Chase-Topping M
(2021)
Impact of vaccination and selective breeding on the transmission of Infectious salmon anemia virus
in Aquaculture

Doeschl-Wilson A
(2021)
Review: Livestock disease resilience: from individual to herd level.
in Animal : an international journal of animal bioscience

Knap P
(2020)
Why breed disease-resilient livestock, and how?
in Genetics Selection Evolution

Makau DN
(2023)
Predicting Antigenic Distance from Genetic Data for PRRSV-Type 1: Applications of Machine Learning.
in Microbiology spectrum

Makau DN
(2022)
Ecological and evolutionary dynamics of multi-strain RNA viruses.
in Nature ecology & evolution

Makau DN
(2021)
Integrating animal movements with phylogeography to model the spread of PRRSV in the USA.
in Virus evolution

Mucha S
(2022)
Animal Board Invited Review: Meta-analysis of genetic parameters for resilience and efficiency traits in goats and sheep.
in Animal : an international journal of animal bioscience

Pamornchainavakul N
(2023)
Mapping the Dynamics of Contemporary PRRSV-2 Evolution and Its Emergence and Spreading Hotspots in the U.S. Using Phylogeography.
in Pathogens (Basel, Switzerland)
Description | This is a joint project with Roslin and the University of Minnesota, encompassing transmission experiments in swine; longitudinal monitoring of viral evolution on swine farms; modelling of viral evolution and spread within swine hosts and between farms. We started the project in Sept 2019, and have been working on all 4 aims. The University of Minnesota has prepared for the transmission experiments on whole animals by performing in vitro studies, and has recruited farms for the longitudinal study as well as collected samples for sequencing. Due to COVID-19 restrictions they had to postpone their wet lab and sequencing activities 2020/2021, but I am happy to report that this has now resumed again although still at a slower pace (Feb 2022). We have publications on viral sequencing data directly from this project, and a further joint position / review paper as well as a number of other outputs. During 2022 and early 2023 the experimental work and sequencing from the transmission studies has resumed, and we have been awarded an extension to allow completion of the work and analysis to August 2024. We have been analysing this data and fitting models during 2023/2024 with a view to submitting at least 2 more manuscripts (one to accompany the model). During the COVID-19 restrictions, Roslin and the University of Minnesota were able to continue with the computational and modelling work, using the previously collected sequence data and developing and enhancing the models. Furthermore, the modelling approach we are developing for this project has already been very useful for processing and modelling the thousands of UK SARS-CoV-2 sequences. Therefore this EEID funding will not only achieve it's original aim in enabling the study of virus evolution in partially immune swine populations, but is also having a broader role in the understanding and predictive modelling of viral evolutionary dynamics in the ongoing COVID-19 pandemic. |
Exploitation Route | In addition to the planned outcomes relating to the pig virus and industry, the modelling approach using virus sequence data and computational pipelines is being used to help with the SARS-CoV-2 new variant modelling. |
Sectors | Agriculture Food and Drink Healthcare Government Democracy and Justice Pharmaceuticals and Medical Biotechnology |
Description | The modelling and analysis approach developed here to understand viral evolution in populations has been used to inform the similar modelling approach for analysing SARS-CoV-2 sequences, especially those from the UK and Scotland; and the SARS-CoV-2 work on the sequences has been reported to the SAGE committee. The results of the longitudinal study of PRRSV on farms has led to further insights into the continuing evolution of PRRSV and the tracking and analysis of a new lineage variant in US farms. |
First Year Of Impact | 2020 |
Sector | Agriculture, Food and Drink,Healthcare,Government, Democracy and Justice |
Impact Types | Policy & public services |
Description | EU H2020 collaborative project ECO-READY- Achieving Ecological Resilient Dynamisms for the European food system through consumer-driven policies, socio-ecological challenges, biodiversity, data-driven policy, sustainable futures |
Amount | € 14,948,450 (EUR) |
Funding ID | 101084201 - ECO-READY |
Organisation | European Commission |
Sector | Public |
Country | European Union (EU) |
Start | 12/2022 |
End | 11/2025 |
Description | New social phenotypes from automated computer vision systems for reducing harmful social interactions and disease transmission in pigs through selective breeding |
Amount | £54,900 (GBP) |
Funding ID | BBSRC IAA PIII108 |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2023 |
End | 10/2023 |
Description | TRAnsforming the DEbate about livestock systems transformation (TRADE) |
Amount | £677,397 (GBP) |
Funding ID | BB/W018152/1 |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 05/2022 |
End | 05/2025 |
Title | Discrete Spatial Phylo Simulator (DSPS) |
Description | This is an individual based disease simulation model which tracks who infected whom, within a 'deme' (e.g. within a farm, city) and between a network of 'demes' (between farms or cities), and generates phylogenetic trees as output. In 2020 we added features to enable the modelling of 'lockdowns' that is where the transmission within and between farms / cities can be changed as a function of time in the simulation. In 2021 we added features to enable the transmission characteristics to change as a function of viral mutations appearing with time, to enable the modelling of viral evolution in the face of hosts with different acquired immunities. |
Type Of Material | Computer model/algorithm |
Year Produced | 2021 |
Provided To Others? | No |
Impact | This model is being used to simulate viral spread between farms / cities; and is configured to model PRRSV and SARS-CoV-2 and to generate phylogenetic trees which are compared to the real trees. We hope to publish this model via GitHub and associated paper in 2022; and have presented the model at a scientific conference in November 2021. |
Description | Discussion leader at a scientific conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Discussion group leader of the "Health and Welfare Traits" session at the Quantitative Genetics and Genomics Gordon Research Conference, Ventura, February 2023. The session informed the audience about the state of the art of genomic approaches to human and animal health and welfare, and identified research gaps, and pathways to future implementation |
Year(s) Of Engagement Activity | 2023 |
Description | Invited talk at an international conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Invited talk at the World Congress in Genetics Applied to Livestock Production (WCGALP) 2022 on "New tools and insights to enable breeding for reduced disease transmission. " The talk informed the audience about the latest approaches to reduce disease transmission in farm animals through selective breeding |
Year(s) Of Engagement Activity | 2022 |
URL | https://doi.org/10.3920/978-90-8686-940-4_168 |
Description | Press release about PRRSV EEID Project |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Press release from Roslin and University of Minnesota project partners; news picked up and reported by industry stakeholder publications including (US side) Hog Farmers Weekly. This is important since part of the project is to recruit farms for the study and then to report on circulating strains and vaccines. Roslin URL:https://www.ed.ac.uk/roslin/news-events/latest-news/archive/2019/3-million-dollar-grant-tackle-costly-pig-virus Minnesota URL: https://vetmed.umn.edu/news/new-3-million-grant-helps-researchers-tackle-porcine-reproductive-and-respiratory-syndrome-virus |
Year(s) Of Engagement Activity | 2019 |
URL | https://www.ed.ac.uk/roslin/news-events/latest-news/archive/2019/3-million-dollar-grant-tackle-costl... |