title: Two arms are better than one: parasite variation leads to combined inducible and constitutive innate immune responses.
abstract: Parasites represent a major threat to all organisms which has led to the evolution of an array of complex and effective defence mechanisms. Common to both vertebrates and invertebrates are innate immune mechanisms that can be either constitutively expressed or induced on exposure to infection. In nature, we find that a combination of both induced and constitutive responses are employed by vertebrates, invertebrates and, to an extent, plants when they are exposed to a parasite. Here we use a simple within-host model motivated by the insect immune system, consisting of both constitutive and induced responses, to address the question of why both types of response are maintained so ubiquitously. Generally, induced responses are thought to be advantageous because they are only used when required but are too costly to maintain constantly, while constitutive responses are advantageous because they are always ready to act. However, using a simple cost function but with no a priori assumptions about relative costs, we show that variability in parasite growth rates selects for a strategy that combines both constitutive and induced defences. Differential costs are therefore not necessary to explain the adoption of both forms of defence. Clearly, hosts are likely to be challenged by variable parasites in nature and this is sufficient to explain why it is optimal to deploy both arms of the innate immune system.
authors.affiliation: Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, UK. r.hamilton@sheffield.ac.uk
authors.forename: Ruth
authors.initials: R
authors.lastname: Hamilton
authors.forename: Mike
authors.initials: M
authors.lastname: Siva-Jothy
authors.forename: Mike
authors.initials: M
authors.lastname: Boots
mesh_terms: D000818:Animals; D006790:Host-Parasite Interactions; D007113:Immunity, Innate; D007313:Insecta / Q000276:immunology*; D008954:Models, Biological