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Updated: May 17, 2025

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
Multi-host pathogen transmission and the disease-diversity relationship
Marjolein E M Toorians1, T Jonathan Davies1,2,3, Ailene MacPherson4
1Department of Botany, Biodiversity Research Centre, University of British Columbia, 2212 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
Abstract:
How diseases are transmitted within a multi-host community is a complex biological process with important ecological and societal consequences. The intricacies of interspecific disease transmission determine when a disease can spread to a novel host, including humans (zoonosis), and the severity of emerging epidemics. Interspecific disease transmission also mediates long-term disease prevalence within a multi-host community which is at the core of the disease-diversity relationship. Mathematical models play a central role in formulating predictions about spillover, prevalence, and the disease-diversity relationship. Yet, how the complexity of transmission is captured (or not) by the assumptions of these models is often unclear. Here, we decompose the transmission process into five biological stages using bovine tuberculosis (bTB) as an illustrative example of transmission in a multi-host system. We then examine the often-implicit assumptions that classic compartmental models make about this process. We use the intuition gained from this decomposition to formulate hypotheses for how transmission can mediate outbreak potential, infection prevalence, and the amplifying or diluting effects of host diversity on disease prevalence. We further illustrate the key principles and implications of transmission with a diverse array of examples of multi-host pathogens. Throughout we emphasise the role of evolution in shaping interspecific transmission, from the evolutionary relatedness of the hosts themselves to the adaptation of the pathogen to novel hosts.
Insights
Understanding how diseases spread between species is crucial for predicting zoonotic risks and epidemics. This study breaks down disease transmission into stages to improve mathematical models and understand host diversity effects.
Area of Science:
- Ecology
- Epidemiology
- Mathematical Biology
Background:
- Interspecific disease transmission is a complex process influencing zoonosis, epidemics, and disease-diversity relationships.
- Mathematical models are vital for predicting disease dynamics but often simplify transmission complexities.
- Bovine tuberculosis (bTB) serves as a case study for understanding multi-host pathogen transmission.
Purpose of the Study:
- To decompose the disease transmission process into distinct biological stages.
- To analyze the implicit assumptions of compartmental models in representing transmission.
- To develop hypotheses on how transmission dynamics affect outbreak potential, prevalence, and host diversity impacts.
Main Methods:
- Decomposition of disease transmission into five biological stages.
- Examination of assumptions in classic compartmental models.
- Formulation of hypotheses based on transmission insights.
- Illustration with diverse multi-host pathogen examples.
Main Results:
- Transmission complexity can be systematically analyzed by dissecting it into biological stages.
- Implicit assumptions in models can lead to inaccuracies in predicting disease spread and prevalence.
- Transmission pathways significantly influence outbreak potential and host diversity effects.
Conclusions:
- A stage-based understanding of transmission enhances ecological and epidemiological modeling.
- Evolutionary factors, including host relatedness and pathogen adaptation, are critical in interspecific transmission.
- Improved models are essential for managing multi-host diseases and mitigating zoonotic risks.
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