Abstract
Defending self against nonself is a major problem in a world in which individuals are under constant pressure from parasites that gain fitness benefits at a cost to their host. Defences that have evolved are diverse, and range from behavioural adaptations to physiochemical barriers. The immune defence is a final line of protection and is therefore of great importance. Given this importance, variability in immune defence would seem counterintuitive, yet that is what is observed. Ecological immunology attempts to explain this variation by invoking costs and trade-offs, and in turn proposing that the optimal immune defence will vary over environments. Studies in this field have been highly successful in establishing an evolutionary ecology framework around immunology. However, in order enrich our understanding of this area, it is perhaps time to broaden the focus to include parasites as more than simply elicitors of immune responses. In essence, to view immunity as produced by the host, the environment, and the active involvement of parasites.
Keywords: costs of immunity, ecological immunology, immune evasion, plasticity, specificity, trade-offs
Introduction
Studies of immune mechanisms and immune function are widespread in modern biology. Furthermore, studies of the immune system have been central to the fields of health and medicine for over a century (Silverstein 1989). As a result, the immune system of vertebrates and in particular that of model organisms, such as mice, has been described in great detail (for an introductory yet comprehensive overview see Delves et al. 2006). These studies have tended to be with lab-based models in controlled conditions. While extremely useful, an understanding of immunity in the context of natural environments was lacking, until in the mid-1990s the field of ecological immunology emerged (Sheldon and Verhulst 1996). Ecological immunology went beyond outlining the physiological or molecular basis of immune responses, by placing them in the context of ecology and adaptation. In fact, despite the obvious benefits of fending off parasites (throughout this article parasite is used in its evolutionary sense, including viruses, bacteria, fungi, protozoa and metazoan parasites), hosts remain susceptible and immune responses vary widely across species and situations. Thus, a principal aim of ecological immunology is to understand variation in parasite resistance and immune responses. In the years following its inception, ecological immunology has expanded rapidly and now boasts a huge number of studies investigating topics such as costs associated with immunity and the optimal use of immune defence. While the initial ideas that sparked the field were relevant for vertebrates, and in particular birds (Folstad and Karter 1992; Sheldon and Verhulst 1996; Norris and Evans 2000), subsequent work has been carried out on a broad range of taxa, with invertebrate ecological immunology being a particularly fruitful area (Rolff and Siva-Jothy 2003).
The ideas and concepts at the base of ecological immunology are of great importance for the areas of health and medicine. They allow us, for example, to understand variability in immune responses between populations, to relate the outbreak of diseases to the evolutionary history and ecology of populations in humans and economically important animals, and to analyze vectors of human and livestock diseases (for example mosquitoes and malaria, Tripet et al. 2008). In addition, there are a great number of other studies where results cannot be directly applied to health and disease in humans or domestic animals, but where the general concepts that they address are transferable. Here, we discuss such studies that address the major principles of ecological immunology. This article therefore presents some of the key concepts of ecological immunology (Box 1), discussing their basis, evidence and development. Towards the end of the article, future avenues of research are addressed. Ecological immunology of the late 20th and early 21st century has been essentially host-focused. The inclusion of parasite traits, such as immune evasion, will now expand the framework to better understand the ecological and evolutionary pressures that have shaped immune systems and their functioning.
Box 1. Important concepts of ecological immunology.
Cost of immune defence: the cost of an immune defence in terms of a loss in other fitness components.
Evolutionary costs of defence: the loss of performance in another fitness-relevant function of the organism as a consequence of a more powerful immune system.
Usage costs of defence: the cost of an immune defence in terms of a loss in other fitness components due to either maintenance or activation of the immune system.
Immunocompetence: an ill-defined term that generally describes the potential of an immune system to respond.
Auto-reactivity, auto-immunity: a cost of immune defence that is realized when using the immune system results in damage to own tissue.
Optimal immune defence: a theoretically expected combination of different immune defence components and/or the strength of the response that yields the highest fitness to its carriers. This includes the consideration of costs and benefits.
Plastic immune response: an immune response that varies according to environment; also includes the environment of parents when they can transfer their experience to offspring.
Immune evasion: a process by which parasites manipulate, subvert, impede or mislead the immune system of the host.
Putting a price on immunity
If traits were cost free in terms of Darwinian fitness, then an organism with a perfect set of life histories would be able to evolve. However, fitness costs are assumed to be ubiquitous and are central to many concepts in both ecological and evolutionary theory. For example, while it is clear by their classification that parasites will harm their hosts, immune responses of hosts used to combat these parasites may also come at a cost to the host. The presence of these costs is one explanation for the variability that we observe between immune responses of different individuals and populations. Therefore, one of the main principles behind ecological immunology is that immune systems are not cost free and will carry different costs on different levels.
The costs of immunity can be broken down into two main categories, representing the stage on which they act. These are the evolutionary costs involved in evolving an efficient immune system, and secondly, costs of maintaining and using this immune system to successfully combat parasites and pathogens that pose a significant threat to the integrity of self.
Evolutionary costs
The different traits of an organism are frequently not independent of one another. In many organisms there is, for example, an intimate link between the immune system and other compartments and life-processes, and immunity is not able to evolve independently. Genetic correlations, arising from linkage or pleiotropy between the genes involved, will influence the evolution of the associated traits. Negative genetic correlations indicate evolutionary trade-offs. Negative correlations have been demonstrated between fecundity and bacterial resistance in the fruit fly Drosophila (McKean et al. 2008), and sperm viability and immune lysozyme activity in crickets (Simmons and Roberts 2005). Such correlations will constrain the evolution of immunity due to its ties with other fitness related traits.
Further evidence for evolutionary trade-offs involving immunity comes from experimental evolution experiments. For example, lines of Drosophila melanogaster were selected for increased encapsulation ability of a parasitoid (Kraaijeveld and Godfray 1997). The selection regime achieved its desired effect, with a later study showing that the lines had increased twofold the number of immune cells used in encapsulation (Kraaijeveld et al. 2001). However, larvae of these lines were poorer competitors under conditions of scarce resources. In the reverse situation, selection on a non-immune trait can lead to a decrease in immunity (Hosken 2001; Koella and Boete 2002), again demonstrating that immunity is in an evolutionary trade-off with other traits.
Evolutionary costs may also materialize from negative correlations between immune traits. For example, work on the lepidopteran, Spodoptera littoralis, demonstrated a negative genetic correlation between antibacterial lysozyme activity and immune cell density (Cotter et al. 2004); but see (Lambrechts et al. 2004). These traits are still determined by separate loci, but at the extreme of the spectrum we can also have an evolutionary trade-off between immune traits at a single locus when there is specificity within the system. In some cases, it has been shown that resistance against one type of parasite does not influence resistance against another (Webster and Woolhouse 1998). However, when one allele confers specific resistance against one parasite type, while a different allele at the same locus confers specific resistance against another with no cross-reactivity, there will be an evolutionary trade-off between the resistances against each of the parasite types.
Maintaining and using the immune system
The immune system needs to be prepared at all times, ready to repel parasites. This will incur costs on other fitness traits that are referred to as maintenance costs. When infection actually takes place the response should be rapid and effective. This will incur costs known as costs of use or deployment.
These costs involved in maintaining and using the immune system will mean that investment into immunity must be traded-off with investment that is devoted to other relevant fitness traits. Indirect evidence that immune function is costly comes from the common observation that poor nutrition is associated with disease (Sheldon and Verhulst 1996). Furthermore, reduced nutrition has been shown to result in a lower immune response in mealworm beetles, Tenebrio molitor (Siva-Jothy and Thompson 2002). Trade-offs between immunity and life-history traits can be mediated in a wide variety of ways, from hormones (Rolff and Siva-Jothy 2002), to caretonoids (Lozano 1994), or simply by energy (Sheldon and Verhulst 1996). Evidence for energetic trade-offs has been demonstrated in bumblebees (König and Schmid-Hempel 1995) and birds (Hasselquist et al. 2001), but see Nilsson et al. (2006) for arguments of why energy cannot form the basis of a trade-off. The literature covering costs of immune activation is vast and shows the occurrence of costs on a number of fitness related traits in both invertebrates and vertebrates. Fitness costs in terms of survival on responding to an immune challenge have been shown for survival on starvation in bumblebees (Moret and Schmid-Hempel 2000) and lifetime survival in mealworm beetles (Armitage et al. 2003). Further costs have been shown for reproductive output (Ilmonen et al. 2000; Schwartz and Koella 2004), secondary sexual signalling (Faivre et al. 2003; Jacot et al. 2005a), growth (Brommer 2004), learning (Mallon et al. 2003), and antipredator defence (Rigby and Jokela 2000), to name only a small selection.
Costs of using the immune system may also result from damage to self, or autoreactivity. The best-known cases of costs of this kind are autoimmune diseases that are found in humans and other vertebrates (Sarvetnick and Ohashi 2003). In addition, the effects observed in many severe pathogen-related diseases also stem from this immune mediated self-harm (Graham et al. 2005). Further, it has also been demonstrated that innate immune effectors of insects employing general cytotoxic cascades can also have autoreactive consequences (Sadd and Siva-Jothy 2006). The presence of these autoreactive costs could explain why some studies of the costs of immune elicitation only uncover effects under stressful conditions (e.g. Ilmonen et al. 2000; Moret and Schmid-Hempel 2000). Stressed animals may have a lower capacity to repair damage resulting from an immune response (Read and Allen 2000). Following this logic, protection against un-repairable damage could explain why immunity is often found to be reduced under stressful conditions (Dabbert et al. 1997; Siva-Jothy and Thompson 2002; Martin et al. 2008a). In other words, the immune response may be constrained by the organism's capacity to repair the autoreactive damage that the immune response causes.
Questioning costs
Not all studies aiming to investigate the occurrence of immune-related costs have found them (Schmid-Hempel 2003). Male mosquitoes of lines selected to be refractory to the rodent malaria Plasmodium yoelii nigeriensis show higher levels of melanization against beads introduced into the body cavity than susceptible lines, but no consequential decrease in reproductive success (Voordouw et al. 2008). Challenging female crickets repeatedly with an immune elicitor did not result in reduced reproductive output (Shoemaker and Adamo 2007). Additionally, the presence of costly immunity is not the only idea relating to the maintenance of genetic diversity in immune defence (See Box 2). This has led to scepticism in some circles about the universal presence of costs of immunity and their evolutionary significance (Rigby et al. 2002). Furthermore, it has been argued that costs will be negated by evolution of compensatory mechanisms, as is the case with costs of antibiotic resistance in bacteria (Coustau et al. 2000). However, this is most plausible to occur when the situation remains static, yet interactions involving the immune system are likely to be more dynamic. This is especially probable under a unified model of defence (Box 2), which marries the dynamics of specific interactions between hosts and parasites and the costs of defence.
Box 2. Specificity versus costs.
Evolutionary ecology has advanced two principle explanations for the maintenance of variation in immune defence and resistance (Schmid-Hempel 2003). These are firstly that immune defence is a costly trait and is therefore traded-off with other life-history traits, and secondly the idea of specificity in host–parasite interactions. The presence of specific interactions within a host–parasite system (for examples see Carius et al. 2001; Schmid-Hempel 2001) is likely to lead to dynamics of antagonistic coevolution (Hamilton 1980, 1982). In this case, negative frequency dependent selection driven by coevolving parasites will maintain genetic variability for defence.
While these two ideas could naively seen as competing, there is no reason to assume that they are mutually exclusive. In fact, the explanation of specificity can be nested within costs of immune defence. The maintenance of variation through specific interactions can be viewed as a trade-off between different immune traits. In other words, a form of an evolutionary cost of immune defence. Conversely, specificity may be seen as limiting immune defence costs by partitioning resources into a particular defence component, while reducing allocation to others (Frank 2000).
It seems reasonable to expect that specific host–parasite interactions and costly immunity both play a role shaping immune defences. However, a unification of the two has only received limited attention (Frank 2000; Jokela et al. 2000). Given that these unified models of defence merge two key and well-supported ideas of evolutionary ecology, they deserve further investigation.
Most notably, the taxonomically widespread demonstrations of immune system costs and their estimated sizes (Lochmiller and Deerenberg 2000) suggest that they are not simply the product of a particular set of parameters in a special system. Nevertheless, when searching for costs of immunity it should always be kept in mind that the exact nature of these costs is likely to vary. Exact trade-offs and energetic costs will depend on the species in question, the immune challenges employed, and importantly the background environmental conditions.
Optimality in immunity
Maximum defence is not necessarily the optimal defence, especially when this would come at substantial costs for other fitness relevant traits. Due to the presence of costs in immunity, and variation between environments of the adaptive value of a particular immune response, the optimal immune defence will vary both temporally and spatially. Environments will differ in the threats they pose: the risk of exposure to parasites will vary, as will the virulence of those parasites. This landscape will shape selective pressures acting upon the immune system. This local optimization of immunity will lead to differences in the immune responses of different populations that have experienced diverse environments.
The idea of optimal immune defence varying in relation to the surrounding environment is one that is at the very heart of ecological immunology. Despite this, the question is not an easy one and researchers have often struggled to link host ecology and immune traits or resistance. A particular problem is that neither the environments in which hosts live, nor the host's immune system are simple. It is, for example, hard to categorize immunity as a single trait. It should been seen rather as a multi-faceted defence system. Furthermore, it is even harder to categorize host environments, especially the biotic environments, by a single or a few variables. It is likely that in even the best-studied natural systems there is not a complete list of parasites and pathogens for a particular host species, let alone a secured knowledge on the most critical host life-history stages that are affected by them. This incomplete picture makes it difficult to predict what the optimal investment in immune defences of a particular population should be. However, some studies have convincingly overcome these difficulties and have successfully linked host ecology and investment into immune defences. One example is a recent study of Drosophila antibacterial immunity that has shown an association between the historical environment experienced by a host population and the contemporary levels of defence (Corby-Harris and Promislow 2008). Further, comparative studies related to group living have also demonstrated that particular ecological situations can be correlated with immunity. Social life and cooperative breeding are both predicted to have an increased risk of parasitism due to the communal living of closely related individuals. This would have an impact on the selection of optimal immune investment, with those species or individuals living in groups being selected to have a greater immune capacity. Support for this idea has come from the measurement of immune traits in cooperatively breeding and non-cooperatively breeding birds (Spottiswoode 2008), and in bees of different levels of sociality (Stow et al. 2007).
Plasticity in immunity as a response to a variable environment
We have previously talked about differences in immune investment in populations exposed to varied pressures in terms of genetic differences (see Corby-Harris and Promislow 2008). However, it is also possible that differences come about through phenotypic plasticity, where individuals respond to the prevailing environment and the perceived future risk. The ability to adjust facultatively investment into immunity depending upon the prevailing need will have a clear evolutionary benefit when immunity is costly, yet necessary to varying degrees across environments.
There are clear predictions and evidence suggesting that the threat of disease is related to the density of host individuals (Brown and Brown 1986; Daily and Ehrlich 1996). In line with this, it has been shown that organisms are able to assimilate information relating to density and adjust their investment into immunity accordingly (Barnes and Siva-Jothy 2000; Wilson et al. 2002). This phenomenon, known as density-dependent prophylaxis, means individuals experiencing higher densities, where the risk of parasite exposure is generally thought to be greater, will invest into immunity at a higher level.
While it is possible for individuals to adjust investment into certain immune traits depending on the perceived risk (e.g. density-dependent prophylaxis), it is also clear that it would be beneficial to take into account the encountered threats to the integrity of self. Immune memory in vertebrates can be seen to function in this way (Delves et al. 2006), with future secondary responses being greater and offering more protection. Functionally, similar outcomes have been found in invertebrates, where the increase in immunity and protection can be long-lasting (Jacot et al. 2005b), independent of the relationship between first and second immune challenges (Moret and Siva-Jothy 2003), or show specificity (Sadd and Schmid-Hempel 2006). Adjustment of immunity dependent on prior immune experiences not only occurs within individuals, but can also span across generations in the case of trans-generational immunity in both vertebrates (Grindstaff et al. 2003, 2006) and invertebrates (Moret and Schmid-Hempel 2001; Little et al. 2003; Sadd et al. 2005; Moret 2006; Sadd and Schmid-Hempel 2007), and between individuals within social groups (Traniello et al. 2002).
It is easy to see from the examples above that immune responses vary across individuals and are not solely determined by the genetics of an individual. A particular immune response will certainly be genetically encoded to some degree, but will also be a product of such things as diet (Siva-Jothy and Thompson 2002; Martin et al. 2008b), gender (Kurtz et al. 2000; Rolff 2002; Joop et al. 2006), age (Doums et al. 2002; DeVeale et al. 2004), and past or ongoing biotic interactions, be they with conspecifics (Wilson et al. 2002) or heterospecifics, including parasites (Sadd and Schmid-Hempel 2006).
Considerations of future avenues
As discussed previously in this article, the evidence in favour of costly immunity is now abundant. Those working within the field of ecological immunology should therefore be careful about treading in the same footsteps, in doing so perhaps adding another study species to the list, but essentially adding nothing new to the picture. Researchers should rather expand their horizons and in doing so engage new challenges. While there are many fruitful research directions that deserve further attention, these cannot all be addressed here. Subsequently, this article will focus on the phenomenon of immune evasion and its broad ranging importance.
Immune evasion and manipulation
Up until this point the focus has been principally on the influence of the host and the host's environment in determining immune investment and responses against infection. However, the other side of an infection, the parasite or pathogen, can also have a large impact on the response. Parasites need time in a host to develop, reproduce and ultimately ensure transmission into a new host. However, during this time parasites are faced with a relentless barrage from the host's immune system. It is therefore not surprising that parasites have evolved counter measures, with evasion and manipulation of host immunity a widespread practice seen in both vertebrate and invertebrate hosts (Schmid-Hempel 2008). The strategies employed by parasites fall into two main categories: (i) avoidance of the immune response, and (ii) manipulation of immunity to favour establishment and maintenance of infection.
Parasites have evolved a number of strategies for avoiding the immune response of a host. Anatomical seclusion from the immune response is employed by the eye flukes Diplostomum spp. of fish that develop within the immune-privileged eye (Wegner et al. 2007), and in the larvae of braconid parasitoids that are protected from the immune response of their insect hosts by a serosal membrane (Grimaldi et al. 2006). Molecular mimicry is also widespread, where parasites produce host-like proteins to disguise themselves from the immune system (Salzet et al. 2000). Perhaps one of the most famous strategies for avoiding the host's immune response is that of antigenic variation employed by, among others, African trypanosomes. Trypanosomes keep a step ahead of the adaptive immune system and establish chronic infections by periodically switching the make-up of the ‘variant surface glycoproteins’ found on their cell surface (Stockdale et al. 2008).
Beyond merely hiding, parasites can avoid the full effects of an immune response by manipulating the host's immune system. Immune manipulation as an immune evasion strategy is used against recognition, signalling and effector arms of an immune response. Several viruses are known to downregulate the expression of MHC class I, and in doing so can circumvent immune recognition (Tortorella et al. 2000; Seet et al. 2003). Signalling pathways are a frequent target of manipulation by parasites (Schmid-Hempel 2008). Toxoplasma gondii hijacks immune regulation mechanisms of its vertebrate host (Luder and Gross 2005). In uninfected individuals, expression of a molecule known as FasL keeps sensitive areas such as the vertebrate eye immune-privileged by inducing apoptosis of immune cells. Toxoplasma gondii utilizes this pathway to cause the apoptosis of immune cells outside of these immune-privileged areas, thus lessening the immune response against it. Effector molecules of the host response can also be nullified by parasites. Staphylococcus aureus uses a metalloproteinase to cleave and therefore inactivate a human antimicrobial peptide (Sieprawska-Lupa et al. 2004). The examples here only give a faint taste of the multitude of strategies that are employed by parasites across the taxonomic spectrum (Hornef et al. 2002; Sacks and Sher 2002; Seet et al. 2003). Furthermore, within one parasite many strategies may be employed in unison, as is the case in African trypanosomes (Donelson et al. 1998).
Very few studies in the area of ecological immunology consider parasites other than as factors that elicit an immune response. In many ways, this approach has been successful, with the use of benign immune elicitors or inactivated parasites enabling control over the level of immune activation without confounding virulence effects. Most of the studies referred to earlier in this article that address fundamental questions in ecological immunology used inactivated parasites or components of parasites. However, incorporating parasites as active players into studies of ecological immunology, and in doing so accepting that immune systems will additionally have been selected for resilience against parasite sabotage strategies, is likely to be a fruitful avenue for understanding variability in immune defence. Moreover, there is a high likelihood that the genetic underpinnings of immune evasion will also be variable. For example, the var genes involved in immune evasion by Plasmodium falciparum show high degrees of polymorphism and also a level of geographic structuring (Barry et al. 2008). Additionally, the expression of these immune evasion traits may also depend on the environment experienced by the parasite. Acquired immunity to the rodent malaria P. yoelii leads to transcriptional changes in the expression of putative immune evasion factors (Cunningham et al. 2005). Given the last two points concerning polymorphism and environmental dependence, together with what is already well characterized concerning immunity and the environment, it is clear that a multitude of interactions are possible. A significant challenge for the future will be getting a grasp of these interactions through thoroughly and thoughtfully designed experiments, followed by subsequent piecing together of their relevance. For example, an optimal immune response may no longer be the one that is energetically most efficient, but one that is safest against subversion and manipulation by parasites (Bergstrom and Antia 2006).
Conclusion
The essential points to take from the findings of the field of ecological immunology are: (i) immune defences do vary in nature, (ii) immune defences can be costly, (iii) optimality of immunity will rarely be achieved and only transiently, and (iv) observed immune defences will depend on both historical and contemporary factors within an individual's environment. Combining these concepts with a thorough understanding of the mechanistic details of immunity will enable predictions concerning the use and strength of particular immune components. For example, it can be helpful to consider major issues such as immunopathology in this way (Graham et al. 2005). Furthermore, including an in-depth knowledge of relevant parasites into this framework will enable health and disease prevention programmes that are targeted and specific to the situation at hand.
Acknowledgments
We would like to thank two anonymous reviewers for helpful comments that improved the manuscript.
Literature cited
- Armitage SAO, Thompson JJW, Rolff J, Siva-Jothy MT. Examining costs of induced and constitutive immune investment in Tenebrio molitor. Journal of Evolutionary Biology. 2003;16:1038–1044. doi: 10.1046/j.1420-9101.2003.00551.x. [DOI] [PubMed] [Google Scholar]
- Barnes AI, Siva-Jothy MT. Density-dependent prophylaxis in the mealworm beetle Tenebrio molitor L-(Coleoptera : Tenebrionidae): cuticular melanization is an indicator of investment in immunity. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2000;267:177–182. doi: 10.1098/rspb.2000.0984. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barry AE, Smith TA, Chen D, Sytek AL, Imrie H, Tavul L, Migot-Nabias F, et al. Geographic population structure of the immune evasion (var) genes of Plasmodium falciparum. International Journal for Parasitology. 2008;38:S38–S39. [Google Scholar]
- Bergstrom CT, Antia R. How do adaptive immune systems control pathogens while avoiding autoimmunity? Trends in Ecology & Evolution. 2006;21:22–28. doi: 10.1016/j.tree.2005.11.008. [DOI] [PubMed] [Google Scholar]
- Brommer JE. Immunocompetence and its costs during development: an experimental study in blue tit nestlings. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2004;271:S110–S113. doi: 10.1098/rsbl.2003.0103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brown CR, Brown MB. Ectoparasitism as a cost of coloniality in cliff swallows (Hirundo pyrrhonota. Ecology. 1986;67:1206–1218. [Google Scholar]
- Carius HJ, Little TJ, Ebert D. Genetic variation in a host-parasite association: potential for coevolution and frequency-dependent selection. Evolution. 2001;55:1136–1145. doi: 10.1111/j.0014-3820.2001.tb00633.x. [DOI] [PubMed] [Google Scholar]
- Corby-Harris V, Promislow DEL. Host ecology shapes geographical variation for resistance to bacterial infection in Drosophila melanogaster. Journal of Animal Ecology. 2008;77:768–776. doi: 10.1111/j.1365-2656.2008.01399.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cotter SC, Kruuk LEB, Wilson K. Costs of resistance: genetic correlations and potential trade-offs in an insect immune system. Journal of Evolutionary Biology. 2004;17:421–429. doi: 10.1046/j.1420-9101.2003.00655.x. [DOI] [PubMed] [Google Scholar]
- Coustau C, Chevillon C, Ffrench-Constant R. Resistance to xenobiotics and parasites: can we count the cost? Trends in Ecology & Evolution. 2000;15:378–383. doi: 10.1016/s0169-5347(00)01929-7. [DOI] [PubMed] [Google Scholar]
- Cunningham DA, Jarra W, Koernig S, Fonager J, Fernandez-Reyes D, Blythe JE, Waller C, et al. Host immunity modulates transcriptional changes in a multigene family (yir) of rodent malaria. Molecular Microbiology. 2005;58:636–647. doi: 10.1111/j.1365-2958.2005.04840.x. [DOI] [PubMed] [Google Scholar]
- Dabbert CB, Lochmiller RL, Teeter RG. Effects of acute thermal stress on the immune system of the Northern Bobwhite (Colinus virginianus. Auk. 1997;114:103–109. [Google Scholar]
- Daily GC, Ehrlich PR. Global change and human susceptibility to disease. Annual Review of Energy and the Environment. 1996;21:125–144. [Google Scholar]
- Delves P, Martin S, Burton D, Roitt I. Essential Immunology. Oxford: Blackwell Publishing; 2006. [Google Scholar]
- DeVeale B, Brummel T, Seroude L. Immunity and aging: the enemy within? Aging Cell. 2004;3:195–208. doi: 10.1111/j.1474-9728.2004.00106.x. [DOI] [PubMed] [Google Scholar]
- Donelson JE, Hill KL, El-Sayed NMA. Multiple mechanisms of immune evasion by African trypanosomes. Molecular and Biochemical Parasitology. 1998;91:51–66. doi: 10.1016/s0166-6851(97)00209-0. [DOI] [PubMed] [Google Scholar]
- Doums C, Moret Y, Benelli E, Schmid-Hempel P. Senescence of immune defence in Bombus workers. Ecological Entomology. 2002;27:138–144. [Google Scholar]
- Faivre B, Gregoire A, Preault M, Cezilly F, Sorci G. Immune activation rapidly mirrored in a secondary sexual trait. Science. 2003;300:103. doi: 10.1126/science.1081802. [DOI] [PubMed] [Google Scholar]
- Folstad I, Karter AJ. Parasites, bright males, and the immunocompetence handicap. The American Naturalist. 1992;139:603–622. [Google Scholar]
- Frank SA. Specific and non-specific defense against parasitic attack. Journal of Theoretical Biology. 2000;202:283–304. doi: 10.1006/jtbi.1999.1054. [DOI] [PubMed] [Google Scholar]
- Graham AL, Allen JE, Read AF. Evolutionary causes and consequences of immunopathology. Annual Review of Ecology Evolution and Systematics. 2005;36:373–397. [Google Scholar]
- Grimaldi A, Caccia S, Congiu T, Ferrarese R, Tettamanti G, Rivas-Pena M, Perletti G, et al. Structure and function of the extraembryonic membrane persisting around the larvae of the parasitold Toxoneuron nigriceps. Journal of Insect Physiology. 2006;52:870–880. doi: 10.1016/j.jinsphys.2006.05.011. [DOI] [PubMed] [Google Scholar]
- Grindstaff JL, Brodie EDI, Ketterson ED. Immune function across generations: integrating mechanism and evolutionary process in maternal antibody transmission. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2003;270:2309–2319. doi: 10.1098/rspb.2003.2485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grindstaff JL, Hasselquist D, Nilsson JA, Sandell M, Smith HG, Stjernman M. Transgenerational priming of immunity: maternal exposure to a bacterial antigen enhances offspring humoral immunity. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2006;273:2551–2557. doi: 10.1098/rspb.2006.3608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hamilton WD. Sex versus non-sex versus parasite. Oikos. 1980;35:282–290. [Google Scholar]
- Hamilton WD. Pathogens as causes of genetic diversity in their host populations. In: Anderson RD, May RM, editors. Population Biology of Infectious Diseases. Berlin: Springer; 1982. pp. 269–296. [Google Scholar]
- Hasselquist D, Wasson MF, Winkler DW. Humoral immunocompetence correlates with date of egg-laying and reflects work load in female tree swallows. Behavioral Ecology. 2001;12:93–97. [Google Scholar]
- Hornef MW, Wick MJ, Rhen M, Normark S. Bacterial strategies for overcoming host innate and adaptive immune responses. Nature Immunology. 2002;3:1033–1040. doi: 10.1038/ni1102-1033. [DOI] [PubMed] [Google Scholar]
- Hosken DJ. Sex and death: microevolutionary trade-offs between reproductive and immune investment in dung flies. Current Biology. 2001;11:R379–R380. doi: 10.1016/s0960-9822(01)00211-1. [DOI] [PubMed] [Google Scholar]
- Ilmonen P, Taarna T, Hasselquist D. Experimentally activated immune defence in female pied flycatchers results in reduced breeding success. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2000;267:665–670. doi: 10.1098/rspb.2000.1053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jacot A, Scheuber H, Kurtz J, Brinkhof MW. Juvenile immune status affects the expression of a sexually selected trait in field crickets. Journal of Evolutionary Biology. 2005a;18:1060–1068. doi: 10.1111/j.1420-9101.2005.00899.x. [DOI] [PubMed] [Google Scholar]
- Jacot A, Scheuber H, Kurtz J, Brinkhof MWG. Juvenile immune system activation induces a costly upregulation of adult immunity in field crickets Gryllus campestris. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2005b;272:63–69. doi: 10.1098/rspb.2004.2919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jokela J, Schmid-Hempel P, Rigby MC. Dr. Pangloss restrained by the Red Queen – steps towards a unified defence theory. Oikos. 2000;89:267–274. [Google Scholar]
- Joop G, Mitschke A, Rolff J, Siva-Jothy MT. Immune function and parasite resistance in male and polymorphic female Coenagrion puella. BMC Evolutionary Biology. 2006;6:10. doi: 10.1186/1471-2148-6-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koella JC, Boete C. A genetic correlation between age at pupation and melanization immune response of the yellow fever mosquito Aedes aegypti. Evolution. 2002;56:1074–1079. doi: 10.1111/j.0014-3820.2002.tb01419.x. [DOI] [PubMed] [Google Scholar]
- König C, Schmid-Hempel P. Foraging activity and immunocompetence in workers of the bumble bee, Bombus terrestris L. Proceedings of the Royal Society of London. Series B – Biological Sciences. 1995;260:225–227. [Google Scholar]
- Kraaijeveld AR, Godfray HCJ. Trade-off between parasitoid resistance and larval competitive ability in Drosophila melanogaster. Nature. 1997;389:278–280. doi: 10.1038/38483. [DOI] [PubMed] [Google Scholar]
- Kraaijeveld AR, Limentani EC, Godfray HCJ. Basis of the trade-off between parasitoid resistance and larval competitive ability in Drosophila melanogaster. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2001;268:259–261. doi: 10.1098/rspb.2000.1354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kurtz J, Wiesner A, Gotz P, Sauer KP. Gender differences and individual variation in the immune system of the scorpionfly Panorpa vulgaris (Insecta : Mecoptera) Developmental and Comparative Immunology. 2000;24:1–12. doi: 10.1016/s0145-305x(99)00057-9. [DOI] [PubMed] [Google Scholar]
- Lambrechts L, Vulule JM, Koella JC. Genetic correlation between melanization and antibacterial immune responses in a natural population of the malaria vector Anopheles gambiae. Evolution. 2004;58:2377–2381. doi: 10.1111/j.0014-3820.2004.tb01611.x. [DOI] [PubMed] [Google Scholar]
- Little TJ, O'Connor B, Colegrave N, Watt K, Read AF. Maternal transfer of strain-specific immunity in an invertebrate. Current Biology. 2003;13:489–492. doi: 10.1016/s0960-9822(03)00163-5. [DOI] [PubMed] [Google Scholar]
- Lochmiller RL, Deerenberg C. Trade-offs in evolutionary immunology: just what is the cost of immunity? Oikos. 2000;88:87–98. [Google Scholar]
- Lozano GA. Carotenoids, parasites, and sexual selection. Oikos. 1994;70:309–311. [Google Scholar]
- Luder CGK, Gross U. Apoptosis and its modulation during infection with Toxoplasma gondii: molecular mechanisms and role in pathogenesis. Role of Apoptosis in Infection. 2005;289:219–237. doi: 10.1007/3-540-27320-4_10. [DOI] [PubMed] [Google Scholar]
- Mallon EB, Brockmann A, Schmid-Hempel P. Immune response inhibits associative learning in insects. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2003;270:2471–2473. doi: 10.1098/rspb.2003.2456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martin LB, Navara KJ, Bailey MT, Hutch CR, Powell ND, Sheridan JF, Nelson RJ. Food restriction compromises immune memory in deer mice (Peromyscus maniculatus) by reducing spleen-derived antibody-producing B cell numbers. Physiological and Biochemical Zoology. 2008a;81:366–372. doi: 10.1086/587090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martin LB, Weil ZM, Bowers SL, Nelson RJ. Sex-specific effects of glucose deprivation on cell-mediated immunity and reproduction in Siberian hamsters (Phodopus sungorus. Journal of Comparative Physiology. B – Biochemical Systemic and Environmental Physiology. 2008b;178:623–628. doi: 10.1007/s00360-008-0253-0. [DOI] [PubMed] [Google Scholar]
- McKean KA, Yourth CP, Lazzaro BP, Clark AG. The evolutionary costs of immunological maintenance and deployment. BMC Evolutionary Biology. 2008;8:76. doi: 10.1186/1471-2148-8-76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moret Y. ‘Trans-generational immune priming’: specific enhancement of the antimicrobial immune response in the mealworm beetle, Tenebrio molitor. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2006;273:1399–1405. doi: 10.1098/rspb.2006.3465. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moret Y, Schmid-Hempel P. Survival for immunity: the price of immune system activation for bumblebee workers. Science. 2000;290:1166–1168. doi: 10.1126/science.290.5494.1166. [DOI] [PubMed] [Google Scholar]
- Moret Y, Schmid-Hempel P. Immune defence in bumble-bee offspring. Nature. 2001;414:506. doi: 10.1038/35107138. [DOI] [PubMed] [Google Scholar]
- Moret Y, Siva-Jothy MT. Adaptive innate immunity? Responsive-mode prophylaxis in the mealworm beetle, Tenebrio molitor. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2003;270:2475–2480. doi: 10.1098/rspb.2003.2511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nilsson JA, Granbom M, Raberg L. Does the strength of an immune response reflect its energetic cost? Journal of Avian Biology. 2007;38:488–494. [Google Scholar]
- Norris K, Evans MR. Ecological immunology: life history trade-offs and immune defense in birds. Behavioral Ecology. 2000;11:19–26. [Google Scholar]
- Read AF, Allen JE. The economics of immunity. Science. 2000;290:1104–1105. doi: 10.1126/science.290.5494.1104. [DOI] [PubMed] [Google Scholar]
- Rigby MC, Jokela J. Predator avoidance and immune defence: costs and trade-offs in snails. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2000;267:171–176. doi: 10.1098/rspb.2000.0983. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rigby MC, Hechinger RF, Stevens L. Why should parasite resistance be costly? Trends in Parasitology. 2002;18:116–120. doi: 10.1016/s1471-4922(01)02203-6. [DOI] [PubMed] [Google Scholar]
- Rolff J. Bateman's principle and immunity. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2002;269:867–872. doi: 10.1098/rspb.2002.1959. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rolff J, Siva-Jothy MT. Copulation corrupts immunity: a mechanism for a cost of mating in insects. Proceedings of the National Academy of Sciences of the United States of America. 2002;99:9916–9918. doi: 10.1073/pnas.152271999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rolff J, Siva-Jothy MT. Invertebrate ecological immunology. Science. 2003;301:472–475. doi: 10.1126/science.1080623. [DOI] [PubMed] [Google Scholar]
- Sacks D, Sher A. Evasion of innate immunity by parasitic protozoa. Nature Immunology. 2002;3:1041–1047. doi: 10.1038/ni1102-1041. [DOI] [PubMed] [Google Scholar]
- Sadd BM, Schmid-Hempel P. Insect immunity shows specificity in protection upon secondary pathogen exposure. Current Biology. 2006;16:1206–1210. doi: 10.1016/j.cub.2006.04.047. [DOI] [PubMed] [Google Scholar]
- Sadd BM, Schmid-Hempel P. Facultative but persistent transgenerational immunity via the mother's eggs in bumblebees. Current Biology. 2007;17:R1046–R1047. doi: 10.1016/j.cub.2007.11.007. [DOI] [PubMed] [Google Scholar]
- Sadd BM, Siva-Jothy MT. Self-harm caused by an insect's innate immunity. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2006;273:2571–2574. doi: 10.1098/rspb.2006.3574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sadd BM, Kleinlogel Y, Schmid-Hempel R, Schmid-Hempel P. Trans-generational immune priming in a social insect. Biology Letters. 2005;1:386–388. doi: 10.1098/rsbl.2005.0369. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Salzet M, Capron A, Stefano GB. Molecular crosstalk in host-parasite relationships: schistosome- and leech-host interactions. Parasitology Today. 2000;16:536–540. doi: 10.1016/s0169-4758(00)01787-7. [DOI] [PubMed] [Google Scholar]
- Sarvetnick N, Ohashi PS. Autoimmunity. Current Opinion in Immunology. 2003;15:647–650. doi: 10.1016/j.coi.2003.09.019. [DOI] [PubMed] [Google Scholar]
- Schmid-Hempel P. On the evolutionary ecology of host-parasite interactions: addressing the question with regard to bumblebees and their parasites. Naturwissenschaften. 2001;88:147–158. doi: 10.1007/s001140100222. [DOI] [PubMed] [Google Scholar]
- Schmid-Hempel P. Variation in immune defence as a question of evolutionary ecology. Proceedings of the Royal Society of London. Series B – Biological Sciences. 2003;270:357–366. doi: 10.1098/rspb.2002.2265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schmid-Hempel P. Parasite immune evasion: a momentous molecular war. Trends in Ecology & Evolution. 2008;23:318–326. doi: 10.1016/j.tree.2008.02.011. [DOI] [PubMed] [Google Scholar]
- Schwartz A, Koella JC. The cost of immunity in the yellow fever mosquito, Aedes aegypti depends on immune activation. Journal of Evolutionary Biology. 2004;17:834–840. doi: 10.1111/j.1420-9101.2004.00720.x. [DOI] [PubMed] [Google Scholar]
- Seet BT, Johnston JB, Brunetti CR, Barrett JW, Everett H, Cameron C, Sypula J, et al. Poxviruses and immune evasion. Annual Review of Immunology. 2003;21:377–423. doi: 10.1146/annurev.immunol.21.120601.141049. [DOI] [PubMed] [Google Scholar]
- Sheldon BC, Verhulst S. Ecological immunology: costly parasite defences and trade offs in evolutionary ecology. Trends in Ecology & Evolution. 1996;11:317–321. doi: 10.1016/0169-5347(96)10039-2. [DOI] [PubMed] [Google Scholar]
- Shoemaker KL, Adamo SA. Adult female crickets, Gryllus texensis, maintain reproductive output after repeated immune challenges. Physiological Entomology. 2007;32:113–120. [Google Scholar]
- Sieprawska-Lupa M, Mydel P, Krawczyk K, Wojcik K, Puklo M, Lupa B, Suder P, et al. Degradation of human antimicrobial peptide LL-37 by Staphylococcus aureus-derived proteinases. Antimicrobial Agents and Chemotherapy. 2004;48:4673–4679. doi: 10.1128/AAC.48.12.4673-4679.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Silverstein AM. A History of Immunology. San Diego, CA: Academic Press; 1989. [Google Scholar]
- Simmons LW, Roberts B. Bacterial immunity traded for sperm viability in male crickets. Science. 2005;309:2031. doi: 10.1126/science.1114500. [DOI] [PubMed] [Google Scholar]
- Siva-Jothy MT, Thompson JJW. Short-term nutrient deprivation affects immune function. Physiological Entomology. 2002;27:206–212. [Google Scholar]
- Spottiswoode CN. Cooperative breeding and immunity: a comparative study of PHA response in African birds. Behavioral Ecology and Sociobiology. 2008;62:963–974. [Google Scholar]
- Stockdale C, Swiderski MR, Barry JD, McCulloch R. Antigenic variation in Trypanosoma brucei: joining the DOTs. Plos Biology. 2008;6:1386–1391. doi: 10.1371/journal.pbio.0060185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stow A, Briscoe D, Gillings M, Holley M, Smith S, Leys R, Silberbauer T, et al. Antimicrobial defences increase with sociality in bees. Biology Letters. 2007;3:422–424. doi: 10.1098/rsbl.2007.0178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tortorella D, Gewurz BE, Furman MH, Schust DJ, Ploegh HL. Viral subversion of the immune system. Annual Review of Immunology. 2000;18:861–926. doi: 10.1146/annurev.immunol.18.1.861. [DOI] [PubMed] [Google Scholar]
- Traniello JFA, Rosengaus RB, Savoie K. The development of immunity in a social insect: evidence for the group facilitation of disease resistance. Proceedings of the National Academy of Sciences of the United States of America. 2002;99:6838–6842. doi: 10.1073/pnas.102176599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tripet F, Aboagye-Antwi F, Hurd H. Ecological immunology of mosquito-malaria interactions. Trends in Parasitology. 2008;24:219–227. doi: 10.1016/j.pt.2008.02.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Voordouw MJ, Koella JC, Hurd H. Comparison of male reproductive success in malaria-refractory and susceptible strains of Anopheles gambiae. Malaria Journal. 2008;7:103. doi: 10.1186/1475-2875-7-103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Webster JP, Woolhouse MEJ. Selection and strain specificity of compatibility between snail intermediate hosts and their parasitic schistosomes. Evolution. 1998;52:1627–1634. doi: 10.1111/j.1558-5646.1998.tb02243.x. [DOI] [PubMed] [Google Scholar]
- Wegner KM, Kalbe M, Reusch TBH. Innate versus adaptive immunity in sticklebacks: evidence for trade-offs from a selection experiment. Evolutionary Ecology. 2007;21:473–483. [Google Scholar]
- Wilson K, Thomas MB, Blanford S, Doggett M, Simpson SJ, Moore SL. Coping with crowds: density-dependent disease resistance in desert locusts. Proceedings of the National Academy of Sciences of the United States of America. 2002;99:5471–5475. doi: 10.1073/pnas.082461999. [DOI] [PMC free article] [PubMed] [Google Scholar]