Skip navigation
Skip navigation

Modelling host evolutionary responses to infection

Johns, Sophie

Description

Infectious diseases are pervasive, producing strong evolutionary pressure on their hosts. Often epidemiological models focus on pathogen evolution because they have short lifespans relative to their hosts. However, pathogens also impose strong selective pressure on their hosts. With prolonged exposure to pathogens host populations adapt to pathogen's selection pressure. Host evolution could occur in a variety of ways - from minimising infection costs to disease avoidance. In this thesis I...[Show more]

dc.contributor.authorJohns, Sophie
dc.date.accessioned2019-09-15T05:29:12Z
dc.date.available2019-09-15T05:29:12Z
dc.identifier.otherb71495587
dc.identifier.urihttp://hdl.handle.net/1885/169649
dc.description.abstractInfectious diseases are pervasive, producing strong evolutionary pressure on their hosts. Often epidemiological models focus on pathogen evolution because they have short lifespans relative to their hosts. However, pathogens also impose strong selective pressure on their hosts. With prolonged exposure to pathogens host populations adapt to pathogen's selection pressure. Host evolution could occur in a variety of ways - from minimising infection costs to disease avoidance. In this thesis I present two theoretical models that examine optimal host evolutionary responses to infectious diseases. Chapter 1 explores how sexually transmitted infections shape female reproductive investment and, in turn, alters selection on males for infection resistance. I discuss the conditions required for female terminal investment to be favorable, and in populations where females terminally invest, I then consider the ramifications for selection on male immune resistance, since infecting their mate has a reproductive advantage. In the second chapter I look at the effect of devil facial tumour disease on Tasmanian devils. Specifically, I explore the conditions required for devils to evolve passive behavior to avoid infection. I highlight that this evolution could occur on an ecological timescale, potentially preventing devil extinction.
dc.language.isoen_AU
dc.titleModelling host evolutionary responses to infection
dc.typeThesis (MPhil)
local.contributor.supervisorJennions, Michael
local.contributor.supervisorcontactu4037305@anu.edu.au
dc.date.issued2019
local.contributor.affiliationResearch School of Biology, ANU College of Science, The Australian National University
local.identifier.doi10.25911/5d89f11799239
local.identifier.proquestNo
local.thesisANUonly.authorf7725198-fa22-47fc-b3c9-eb2a07656089
local.thesisANUonly.title000000021101_TC_1
local.thesisANUonly.key65c02b7c-7c85-c259-009d-abfd9fe23742
local.mintdoimint
CollectionsOpen Access Theses

Download

File Description SizeFormat Image
Sophie Thesis.pdfThesis Material11.54 MBAdobe PDFThumbnail


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator