Evolution of lamb immune phenotype in response to nematode infections

Orlendo, Cameline Nafula (2019) Evolution of lamb immune phenotype in response to nematode infections. PhD thesis, University of Glasgow.

Due to Embargo and/or Third Party Copyright restrictions, this thesis is not available in this service.
Printed Thesis Information: https://eleanor.lib.gla.ac.uk/record=b3350582


There is considerable variation in the distribution of the number of parasites amongst a flock of lambs infected with gastrointestinal nematodes. One hypothesis that could explain the observed heterogeneity is that hosts evolve immune phenotypes of varying strengths when infected. The acquired immune response that is mounted by infected lambs is composed of two components. The IgE immune component which regulates parasite numbers within a host, and the IgA immune component which lowers adult parasite fecundity rates, hence decreasing the number of infective agents that are released by the host back into the communal pasture area. In this study, we use adaptive dynamics to study the evolution of the IgE and IgA immune phenotypes, and we use lamb weight as a measure of host fitness. We found that processes affecting the evolution of the lamb immune phenotypes are: the assumed trade-off relationship between the IgE and IgA immune responses, variation in immune costs, the sensitivity of host maintenance efficiency to the presence of adult nematodes and seasonality. A key finding is that we can obtain a dimorphic population that emulates field studies when the presence of adult nematodes severely reduces hosts maintenance efficiency, and the IgE cost is low while the IgA cost is high. Overall, this study provides insight into the processes that could lead to variation in immune phenotypes of lambs infected with nematode parasites.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Keywords: Variation, immune phenotypes, lambs, nematodes.
Subjects: Q Science > QA Mathematics
Colleges/Schools: College of Science and Engineering > School of Mathematics and Statistics
Supervisor's Name: Cobbold, Dr. Christina
Date of Award: 2019
Embargo Date: 5 June 2021
Depositing User: Dr Cameline Nafula Orlendo
Unique ID: glathesis:2019-73024
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 05 Jun 2019 10:02
Last Modified: 05 Jun 2020 07:59
Thesis DOI: 10.5525/gla.thesis.73024
URI: https://theses.gla.ac.uk/id/eprint/73024

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