Singh, Prerna ORCID: https://orcid.org/0000-0002-8859-9593 (2023) Trade-offs between Host Defense Mechanisms: Impacts on Evolutionary and Coevolutionary Dynamics of Host-Parasite Interactions. PhD thesis, University of Sheffield.
Abstract
Evolution plays a key role in shaping the trajectory of infectious diseases and it is important to comprehend the mechanisms that allow parasites to mutate and adapt to new environments. Studying host-parasite interactions provides essential insights that are crucial for disease control and prevention. In this thesis, I utilise mathematical models and evolutionary invasion theory to explore how hosts allocate investments in defence mechanisms against parasites. I specifically examine how investments are influenced by the presence of negative correlations between these mechanisms.
Hosts' defence mechanisms against parasites are usually divided into two classes: resistance and tolerance. Resistance strategies act to reduce the fitness of parasites, while tolerance strategies mitigate the negative impact on host fitness without directly harming the parasites. First, I investigate the simultaneous evolution of resistance and tolerance in a host population where they are negatively correlated by a trade-off. Here I focus on examining the optimal investment patterns in resistance and tolerance and predicting the favoured strategy under diverse ecological and epidemiological conditions. Next, I study a case where the host can evolve both sterility tolerance and mortality tolerance as defences against parasitic infection, with a direct trade-off between the two strategies. The primary objective here is to predict the evolutionary outcomes based on the trade-off shape: polymorphism, stable investments, or maximization/minimization. I then extend this model into a coevolutionary framework, investigating the coevolution of hosts and parasites while considering explicit trade-offs between host sterility-mortality tolerance and parasite recovery-transmission.
My results reveal the underlying feedbacks created by the impact of trade-offs, disease prevalence, fluctuating ecological dynamics, and various epidemiological traits on the selection of defence strategies. This work contributes to a better understanding of host-parasite evolution and serves as a potential theoretical base for future experiments in this field.
Metadata
Supervisors: | Best, Alex |
---|---|
Related URLs: | |
Keywords: | Adaptive dynamics, host, parasites, evolution, mathematical modelling, resistance, tolerance |
Awarding institution: | University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield) |
Identification Number/EthosID: | uk.bl.ethos.885445 |
Depositing User: | Miss Prerna Singh |
Date Deposited: | 10 Jul 2023 10:02 |
Last Modified: | 01 Aug 2023 09:53 |
Open Archives Initiative ID (OAI ID): | oai:etheses.whiterose.ac.uk:33140 |
Download
Final eThesis - complete (pdf)
Filename: Thesis_final.pdf
Description: Final thesis copy
Licence:
This work is licensed under a Creative Commons Attribution NonCommercial NoDerivatives 4.0 International License
Export
Statistics
You do not need to contact us to get a copy of this thesis. Please use the 'Download' link(s) above to get a copy.
You can contact us about this thesis. If you need to make a general enquiry, please see the Contact us page.