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A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
Published on: July 18, 2013
The impact of heterogeneous contact structure on the evolution of pathogen virulence
Xander O'Neill1, Andy White1, Matthew J Silk2
1Maxwell Institute for Mathematical Sciences and Department of Mathematics, Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom.
Abstract:
Classical theory on pathogen evolution traditionally assumed homogeneous host populations with random interactions for simplicity. However, in most biological systems, individuals interact locally and exhibit significant heterogeneity, where a minority of 'superspreaders' accounts for the majority of transmission. While local interactions are known to select for 'prudent' pathogens, those that transmit more slowly and cause less host damage, previous research suggested that superspreading had no long-term evolutionary effect unless linked to traits impacting host survival. However, since all infectious disease systems are likely to show a degree of both local and heterogeneous interactions, a realistic model should include both these sources of population structure. In contrast to results assuming random transmission, we demonstrate that when local population structure is accounted for, heterogeneity can act as a key driver of virulence evolution. Specifically, superspreading selects for slower-transmitting, less virulent pathogens. Social network analyses suggest that many wildlife and human diseases exhibit this type of transmission heterogeneity, which directly shapes pathogen development. Our findings reveal that the evolutionary role of superspreading may have been overlooked, compared to its well-known impacts on epidemiology. These results provide a more realistic framework for predicting disease evolution in structured, real-world populations.
Insights
Pathogen evolution is shaped by host interactions. Superspreading, common in real-world diseases, drives the evolution of less virulent pathogens when local population structure is considered.
Area of Science:
- Evolutionary biology
- Epidemiology
- Disease ecology
Background:
- Classical pathogen evolution models assume homogeneous hosts and random interactions.
- Real biological systems feature local interactions and heterogeneity, with 'superspreaders' dominating transmission.
- Previous research indicated superspreading had limited evolutionary impact without affecting host survival.
Purpose of the Study:
- To investigate the evolutionary impact of superspreading in structured host populations.
- To develop a more realistic model incorporating both local interactions and transmission heterogeneity.
- To determine if superspreading drives pathogen virulence evolution.
Main Methods:
- Incorporated local population structure and transmission heterogeneity into theoretical models.
- Analyzed evolutionary dynamics under these combined factors.
- Utilized social network analysis principles.
Main Results:
- When local population structure is considered, heterogeneity significantly drives virulence evolution.
- Superspreading selects for pathogens that transmit more slowly and cause less host damage (i.e., are less virulent).
- This contrasts with models assuming random transmission, where superspreading's evolutionary effect is minimal.
Conclusions:
- Superspreading plays a crucial, potentially overlooked, role in pathogen evolution, distinct from its epidemiological impact.
- Accounting for population structure and heterogeneity provides a more accurate framework for predicting disease evolution.
- Findings are relevant to understanding numerous wildlife and human infectious diseases.
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