- Open Access
Evolution of host preference in anthropophilic mosquitoes
© The Author(s) 2018
Received: 6 February 2018
Accepted: 3 July 2018
Published: 9 July 2018
Insecticide-treated bed nets (ITNs) have played a large role in reducing the burden of malaria. There is concern however regarding the potential of the mass distributions and use of ITNs to select for insecticide and behavioural resistance in mosquito populations. A key feature of the vectorial capacity of the major sub-Saharan African malaria vector Anopheles gambiae sensu stricto (s.s.) is its tendency to feed almost exclusively on humans. Here, an evolutionary model is used to investigate the potential for ITNs to select for increased zoophily in this highly anthropophilic species and how this is influenced by ecological and operational conditions.
The evolution of a single trait, namely the tendency to accept cattle as hosts, is modelled in mosquito populations which initially only bite humans. Thus, the conditions under which a resource specialist would broaden its diet and become a generalist are investigated. The results indicate that in the absence of insecticide-treated nets, host specialization in mosquitoes is either driven toward human specialization (when humans are more abundant than alternative hosts), or displays evolutionary bistability. The latter implies that the evolutionary endpoint relies on the initial trait value of the population. Bed nets select for increased zoophily while in use. When ITNs are removed, whether or not the population reverts to anthropophagic or zoophagic behaviour depends on whether the intervention had been maintained sufficiently long to drive the population past the evolutionarily unstable point.
The use of ITNs is likely to select for an increase in the biting preference for cattle. Bed nets may thus alter the population composition of major vector species in a manner that has positive epidemiological ramifications. Whether populations are set on a trajectory toward increased zoophily following the cessation of intense bed net usage in an area depends on the composition of host communities as well as operational conditions. This has potential implications for bed net campaigns, particularly with an eye toward scaling down interventions following interruption of transmission. Further research on malaria mosquito feeding behaviour is warranted to explore the conditions under which such adaptive shifts may actually occur in the field.
The evolution of specialist or generalist habitat preferences and use has wide ramifications for the development and maintenance of species coexistence [1–4]. Because the availability of different resource or habitat types can shift along with species invasions, changes in species’ geographic ranges, and other types of human-mediated environmental changes such as deforestation or urbanization, species are likely to face changing selective pressures on their foraging behaviours. Thus, understanding the evolutionary dynamics of specialized resource usage under varying environments has implications for population management.
The existence of constraints or trade-offs is central to theoretical studies on the evolution of ecological specialization, whereby species that make use of a single resource do so more efficiently than would species that make use of two or more resources. Further, it has been shown that the shape and intensity of such trade-offs can determine evolutionary outcomes to a great extent [2, 3]. For instance, weak trade-offs have been shown to favour generalist strategies, while stronger trade-offs can lead to specialist genotypes. Other factors that have been shown to be influential include whether conditions fluctuate or are homogeneous, the scale (i.e., within particular habitats or over the entire system) at which density-dependent regulation operates, as well as the search time or abundance of resources [1, 5]. Neurological constraints related to signal processing efficiency have also been suggested to favour the evolution of specialized foraging behaviour [6, 7].
Despite the wide range of outcomes with regard to specialization in models, at least most phytophagous insects are highly host-specific . In theoretical studies, trade-offs are posited on the logical grounds that in their absence an all-purpose generalist that performs optimally in all situations could evolve . Evidence for trade-offs associated with resource use has however been ambiguous [8, 9], although this may in part be due the difficulty of capturing natural conditions in greenhouse or laboratory conditions . Given the ongoing efforts to understand specialization, it is surprising that relatively few studies have focused on the evolution of specialization in other systems, such as in hematophagous insects . Mosquitoes are of particular interest among this group as they introduce state-dependence, whereby density dependent competition for resources operates within the larval (aquatic) stages, while host choice and possible specialization relates to the blood-feeding behaviour on various vertebrate species by the adult female. In contrast to phytophagous insects, among mosquito species a diversity of degree of specialization is found, both between and within species . For instance, while many mosquito species appear to be true generalists and are opportunistic in their blood-feeding behaviour, other species show strong and consistent preferences, either at the class level (e.g., a preference for mammals or birds) or at a species level (e.g., humans in the case of the anthropophilic vectors Anopheles gambiae and Aedes aegypti) 12–14].
Although host use by mosquitoes is, to an extent, plastic and affected by the relative abundance of various vertebrate species , host preferences likely do have a genetic basis. For instance, the hybrid ancestry of North-American Culex pipiens influences their preference for humans over birds , while a difference in a single odorant receptor gene has been linked to the anthropophilic biting behaviour of the domestic form of the yellow fever mosquito, Aedes aegypti . Artificial selection experiments had previously illustrated that a strong preference to attack humans could shift to a preference for biting cattle in only a few generations in the malaria vector An. gambiae . In a recent study on the generalist species Anopheles arabiensis, the genomes of individual cattle-fed and human-fed mosquitoes were sequenced and this revealed evidence for a genetic component for host choice. In particular, this study suggested that alleles related to the 3Ra chromosomal inversion may influence host preference in this species .
A thorough understanding of the proximate and ultimate causes of host specialization in mosquitoes remains elusive. Studies have been done on the strength of putative trade-offs related to feeding on the blood of different vertebrates and on the impact of host-defensive behaviour, in some cases showing a fitness advantage associated with feeding on a preferred host, while other cases suggest a trade-off may be either weak or non-existent [20–22].
The relative lack of insight into the genetic basis of host preference of mosquitoes, and how physiological, ecological and environmental factors interact to shape the selective pressures on host choice is surprising given that vector-borne disease transmission intensity is highly sensitive to variation in this trait . It is also pertains to population management and vector control methods. This is perhaps most clearly the case for malaria, a major infectious disease of humans which continues to kill hundreds of thousands of people per year. A striking decline in prevalence and morbidity due to Plasmodium falciparum has occurred over the past decade, primarily due to the mass distribution of insecticide-treated bed nets (ITNs) in malaria endemic regions . There is concern that the evolution of insecticide resistance may soon limit the efficacy of ITNs . In addition to insecticide resistance mechanisms, mosquitoes have developed behavioural adaptations to bed nets. Such shifts in behaviour include changes in the peak biting time of the traditionally nocturnal anopheline vectors [26, 27], but changes in the proportion of blood meals that are taken on humans have also been described [28, 29]. While it is not always clear whether such shifts reflect a change in biting outcomes (which may result from changes in host availability) or in changes in biting preferences , it is certainly plausible that large-scale usage of bed nets among humans would change the selective pressures on mosquito host preference.
A simplified model of mosquito foraging and evolutionary dynamics of host preference in an anthropophilic mosquito, with access to only two different host types (e.g., cattle and humans), was developed. This stage-dependent model of mosquito population dynamics allowed for density-dependent regulation during the immature stage, with host-seeking decisions and egg-laying occurring during the adult stage. The objective was to explore the selective pressures on mosquito host preference and the adaptive responses that can be expected given different vertebrate host abundances, the strength of a trade-off, as well as the population coverage level of ITNs and the period of time for which these are deployed.
Description of parameters
Eggs per female per gonotrophic cycle
Immature development rate
Immature mortality at low densities
Additional mortality per conspecific
Encounter rate with host type i
Probability of accepting host type i
Probability of surviving a single foraging bout
Max level of defensive mortality
Factor determining strength of trade-off
A trade-off between specialization and evasion of host defenses
Gonotrophic cycle and daily survival probabilities
Foraging and survival in the presence of ITNs
Survival and fecundity of females are altered by ITN coverage (i.e., the proportion of humans sleeping under an ITN each night). This is both a function of mosquitoes being killed after contacting the insecticide on the net, or being diverted/repelled and having to spend additional time and effort locating a different host.
An investigation of possible evolutionary trajectories is performed for a single trait, \(\sigma _c\), the probability with which a mosquito will accept or attack cattle. The objective is to find out whether there are ecological conditions (i.e., changes in combinations of host encounter rates) or vector-borne disease interventions, specifically the use of ITNs, under which a host specialist would evolve toward a generalist strategy, and to what extent these outcomes depend on the strength of a trade-off between specialization and performance.
To do so, an adaptive dynamics approach is used to locate evolutionarily singular strategies [34, 35]. This entails evaluating the fitness of a resident population with a given trait value and locating for which value of that trait the population’s growth rate is equal to zero, while for any invading genotype the growth rate is negative. The appropriate measure of fitness or population growth for state-based, density-dependent, or stochastic models is the Lyapunov exponent, \(\vartheta\) . For populations with density-dependent growth rates which have a stable equilibrium (as the models used here do), \(\vartheta\) is equal to the logarithm of the dominant eigenvector, \(\lambda\), of the projection matrix of the invading genotype evaluated at the population equilibrium of the resident type [37, 38]. The evolutionary end points were graphically evaluated by using pairwise invasibility plots. These plots were created using an iterative, numerical method .
Additionally, the evolutionary process was simulated over time in order to investigate how the host preferences of mosquitoes would respond to large-scale roll-outs of ITNs at varying levels of population coverage. Because campaigns where long-lasting insecticidal bed nets are provided to large proportions of populations are typically performed with the intent to interrupt malaria transmission, there is the possibility that following successful malaria control such high levels of coverage will not be maintained indefinitely. It is therefore pertinent to also ask how the duration of such interventions affects the evolutionary dynamics of mosquito populations. These simulations were performed by iterating the population dynamics of mosquito populations that started off almost entirely anthropophilic (with values of \(\sigma _c\) around 0.02). Offspring produced by females were assumed to either have inherited the trait value of the parent, or to have undergone a mutation and vary slightly. The number of mutated offspring were assumed to be binomially distributed based on a mutation probability of 0.1. Offspring that differed from their parent were than randomly assigned to a population with a trait value that was either slightly smaller or larger than the parent. The mutation step size was arbitrarily set to 0.002. The mutation rate and step size were chosen to reflect mutations that are relatively common, but of small effect.
The main outcome of this study is the finding that the evolutionary outcomes of mosquito host specialization are either to never include cattle in their diet (exclusively biting humans) or to always bite cattle if given the opportunity (in which case they become generalists in our model). This outcome, where populations evolve toward one of two extreme options of specialization, has been described as a situation of evolutionary bistability . Which specialization extreme is settled on in such cases depends on the initial trait values of the population, and particularly which side of a repelling point, separating the basins of attraction of these extremes, the population finds itself. The introduction of ITNs changes these dynamics by (temporarily) inducing directional selection toward increased zoophily, potentially setting the population on a trajectory toward generalism. It has to be stated that this is a general or strategic model with many inherent simplifications. Further ecological, physiological, and genetic details should be considered and studied before policy-level recommendations are made, although the current model results do highlight a number of considerations for malaria control or elimination programs.
First, the finding that the distribution and use of insecticide-treated bed nets will select for mosquito populations that are more likely to bite cattle has important epidemiological ramifications. This is because together with the biting frequency (the inverse of the duration of the gonotrophic cycle), the biting preference for humans of vectors is the parameter to which the basic reproduction number of malaria, \(R_0\), is most sensitive, with relatively minor perturbations having larger effects as these parameters enter the equation of \(R_0\) quadratically rather than linearly. It is recognized that ITNs affect Plasmodium spp. transmission through multiple modes, namely by increasing the mortality rate of Anopheles spp., by providing a barrier and increasing the duration of the feeding cycle, and potentially by diverting a proportion of bites to non-humans . The current results suggest that during the course of an ITN program, the probability that a mosquito will feed on cattle may increase due to adaptive shifts in host preferences. As a result, the effect size of ITNs would be expected to increase with time. The most important result though is that such evolutionary shifts due to ITNs can in certain cases be permanent, and even set mosquito populations on an evolutionary trajectory toward increased zoophily, even after the use of bed nets has ceased or diminished. The latter is particularly relevant for ITNs as nets tend to degrade over time, either losing insecticidal efficacy as the nets are washed, or losing a barrier effect as holes of larger sizes increase with wear and tear . In the absence of replenishments or redistribution of nets to communities, these interventions are therefore naturally time-limited. If there are continuing reductions in transmission pressure, this would be a considerable added benefit. Additionally, in certain areas bed nets may succeed in interrupting transmission and locally eliminating malaria. Given that maintaining nets indefinitely is costly, it could be tempting to cease distributions of bed nets at such a time (assuming there are other interventions in place to guard against resurgences following reintroductions). It is possible, however, that such decisions should not merely take into account epidemiological and economic concerns, but also evolutionary ones: it may in the long run pay to maintain ITN coverage long enough to ensure the population has been pushed beyond the evolutionary repeller and onto a trajectory toward zoophily.
As indicated previously, several assumptions were made in order to keep the model as simple as possible. For instance, the blood host community considered here consisted only of humans and cattle. While these two groups indeed do provide the majority of blood meals to An. gambiae s.s., other species are bitten occasionally as well (e.g., ). It is possible that in such a more diverse environment generalist strategies become more viable. In the absence of knowledge regarding putative correlations of species-specific preferences, or the shapes of fitness trade-offs in such more realistic and complex situations, it is hard to speculate and further work investigating the link between community diversity and specialization in vectors would clearly be useful.
Similarly, this study only allowed for the evolution of a single trait, the acceptability or attack probability on cattle (\(\sigma _c\)). In reality, it is possible that the attack rate on each distinct host type could evolve, so that rather than only moving between a specialization on one host type (here, humans) and a generalist strategy (where humans and cattle are both always attacked), specialization on the second host type could also evolve. It is possible then that the evolutionary endpoint identified here as a generalist strategy is not the true evolutionary endpoint, and Anopheles spp. may rather continue to evolve toward complete zoophily. This likely does not affect the main conclusion of this study. Adaptive dynamics models that allow for the evolution of multiple traits show that if the traits are independent (which we have assumed, in the absence of empirical evidence suggesting otherwise), they can be modelled independently . If the traits covary (e.g., due to genetic linkage), the dynamics could possibly be more complicated. It does raise the question why mosquito species in general (i.e., with the exception of notable anthropophilic vectors such as An. gambiae or Aedes aegypti) often appear to be generalists. In other words, the ecological conditions that favour generalism in mosquitoes remain to be resolved. These conditions could include spatial or temporal variation in resources (whether in host quality, behaviour and dispersal, or relative abundance), where particularly temporal variability in hosts is thought to favour generalist strategies . Another relevant complication which was not considered here relates to how vectors distribute themselves among hosts, and particularly whether they do so according to an ideal free distribution. In the current study, intraspecific competition was assumed to occur only in the larval stage, yet if there is competition at the level of blood-feeding as well, such an ideal free distribution could be important. There is indeed some evidence for increased defensiveness of hosts with increased densities of vectors . It is also possible that humans would be more likely to use their bed nets or other control interventions under higher mosquito biting rates, although such behavioural change is perhaps more likely due to “nuisance” biting mosquitoes that occur at higher densities than malaria vectors typically do. Such refinements could be considered in a follow-up study., and could possibly lead to a broader range of parameters where a generalist strategy prevails.
A number of studies have now investigated the impact of the scaling-up of ITN usage on abundance, species composition, and blood-feeding behaviour of malaria mosquitoes. In certain locations, following the introduction of bed nets in areas where An. gambiae s.s. is present, this species has declined dramatically in abundance, often to near elimination, while more zoophilic or generalist (and closely-related) species, such as An. arabiensis, have persisted and proportionally become the dominant species and cause of residual malaria transmission [45–47]. The maintenance of anthropophilic behaviour is not limited to An. gambiae s.s. For instance, in Zambia, An. arabiensis displays anthropophilic tendencies and continued to do so for at least a two-year period after the introduction of insecticide-treated bed nets . In such cases, these anophelines thus appear to maintain their anthropophilic biting habits, rather than shifting toward increased zoophily. The opposite has also been observed. In one case where ITNs were in use, An. gambiae s.s., while still predominantly feeding on humans, also included a variety of non-humans in its diet . In another study, the human blood index of An. gambiae s.s. in an area where it had traditionally been strongly anthropophilic had dropped to only 53%, and a significant portion of those mosquitoes still feeding on humans had also taken a blood meal from a non-human animal . An open question is why this discrepancy in outcomes is observed. The current study suggests that there can be evolutionary unstable points which can trap populations in specialist or generalist states. However, this is only the case in the absence of bed nets (e.g., when distribution campaigns are no longer sustained). While ITNs are in use, however, a shift toward zoophily is always expected in this model. A possible explanation for the discrepancy in outcomes may be that the decline in population size of An. gambiae s.s. can take place at a more rapid rate than evolutionary rescue  can occur. Speculatively, this could be affected by factors such as bed net coverage, the rate at which coverage is scaled-up, various socio-ecological factors, or the effective population size and amount of genetic variation present in the local mosquito populations. Likewise, this study did not consider competition with sympatric species, some of which (such as An. arabiensis) already possess more generalist host preference profiles. How or whether the presence of such other species affects the potential for evolutionary rescue is not clear. Additionally. an open question remains whether or how such adaptation would occur in the presence of insecticide resistance or the possibility of its evolution in the face of bed net coverage (e.g., ), or of other forms of behavioural resistance, such as adaptive shifts in the diel periodicity of blood-feeding (e.g., ). All of these would be interesting leads for follow-up studies, and would likely benefit from field studies which link population dynamics, genetics, and various behavioral changes within the same populations followed over time.
In conclusion, the mass distribution and use of insecticide-treated bed nets is likely to select for an increase in the acceptability or attack rate on cattle while ITNs are in use. This suggests that ITNs are not only highly effective control measures against the strongly anthropophilic vectors of malaria, they may temper and alter the population composition of such mosquito populations. Under certain conditions these selective pressures can enact permanent changes or set the population on a trajectory toward increased zoophily, even following the cessation of intense bed net usage in an area. The conditions under which this is true will depend on (and should therefore perhaps be considered in) operational design, as well as on ecological or social determinants. While further research on mosquito host feeding patterns under field conditions are warranted, studies that evaluate host utilization rates and potential shifts therein in areas where ITNs have been used for several years are particularly recommended.
CS and KG developed the model, interpreted the results, and wrote the manuscript. Both authors read and approved the final manuscript.
The authors declare that they have no competing interests.
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All data generated or analysed during this study are included in this published article.
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This manuscript is based on work supported by the National Science Foundation under Grant no. DEB-1015825. CS was additionally supported through the State of Illinois Used Tire Mgmt and Emergency Public Health funds.
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- Futuyma DJ, Moreno G. The evolution of ecological specialization. Ann Rev Ecol Syst. 1988;19(1):207–33.View ArticleGoogle Scholar
- Egas M, Dieckmann U, Sabelis MW. Evolution restricts the coexistence of specialists and generalists: the role of trade-off structure. Am Nat. 2004;163(4):518–31.View ArticlePubMedGoogle Scholar
- Ravigné V, Dieckmann U, Olivieri I. Live where you thrive: joint evolution of habitat choice and local adaptation facilitates specialization and promotes diversity. Am Nat. 2009;174(4):E141–69.View ArticlePubMedGoogle Scholar
- Chubaty AM, Ma BO, Stein RW, Gillespie DR, Henry LM, Phelan C, et al. On the evolution of omnivory in a community context. Ecol Evol. 2014;4(3):251–65.View ArticlePubMedGoogle Scholar
- Jaenike J. Host specialization in phytophagous insects. Ann Rev Ecol Syst. 1990;21(1):243–73.View ArticleGoogle Scholar
- Bernays E. The value of being a resource specialist: behavioral support for a neural hypothesis. Am Nat. 1998;151(5):451–64.View ArticlePubMedGoogle Scholar
- Bernays EA, Funk DJ. Specialists make faster decisions than generalists: experiments with aphids. Proc R Soc B. 1999;266(1415):151–6.View ArticleGoogle Scholar
- Fry JD. The evolution of host specialization: are trade-offs overrated? Am Nat. 1996;148:S84–107.View ArticleGoogle Scholar
- Joshi A, Thompson JN. Trade-offs and the evolution of host specialization. Evol Ecol. 1995;9(1):82–92.View ArticleGoogle Scholar
- Lyimo IN, Ferguson HM. Ecological and evolutionary determinants of host species choice in mosquito vectors. Trends Parasitol. 2009;25(4):189–96.View ArticlePubMedGoogle Scholar
- Lefèvre T, Gouagna LC, Dabire KR, Elguero E, Fontenille D, Costantini C, et al. Evolutionary lability of odour-mediated host preference by the malaria vector Anopheles gambiae. Trop Med Int Health. 2009;14(2):228–36.View ArticlePubMedGoogle Scholar
- Takken W, Verhulst NO. Host preferences of blood-feeding mosquitoes. Ann Rev Entom. 2013;58:433–53.View ArticlePubMedGoogle Scholar
- Tempelis C. Review article: host-feeding patterns of mosquitoes, with a review of advances in analysis of blood meals by serology. J Med Entom. 1975;11(6):635–53.View ArticleGoogle Scholar
- Chaves LF, Harrington LC, Keogh CL, Nguyen AM, Kitron UD. Blood feeding patterns of mosquitoes: random or structured? Front Zool. 2010;7(1):3.View ArticlePubMedPubMed CentralGoogle Scholar
- Kilpatrick AM, Kramer LD, Jones MJ, Marra PP, Daszak P. West Nile virus epidemics in North America are driven by shifts in mosquito feeding behavior. PLoS Biol. 2006;4(4):e82.View ArticlePubMedPubMed CentralGoogle Scholar
- Kilpatrick AM, Kramer LD, Jones MJ, Marra PP, Daszak P, Fonseca DM. Genetic influences on mosquito feeding behavior and the emergence of zoonotic pathogens. Am J Trop Med Hyg. 2007;77(4):667–71.PubMedGoogle Scholar
- McBride CS, Baier F, Omondi AB, Spitzer SA, Lutomiah J, Sang R, et al. Evolution of mosquito preference for humans linked to an odorant receptor. Nature. 2014;515(7526):222–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Gillies M. Selection for host preference in Anopheles gambiae. Nature. 1964;203(4947):852–4.View ArticlePubMedGoogle Scholar
- Main BJ, Lee Y, Ferguson HM, Kreppel KS, Kihonda A, Govella NJ, et al. The genetic basis of host preference and resting behavior in the major African malaria vector, Anopheles arabiensis. PLoS Genet. 2016;12(9):e1006303.View ArticlePubMedPubMed CentralGoogle Scholar
- Harrington LC, Edman JD, Scott TW. Why do female Aedes aegypti (Diptera: Culicidae) feed preferentially and frequently on human blood? J Med Entom. 2001;38(3):411–22.View ArticleGoogle Scholar
- Lyimo IN, Haydon DT, Russell TL, Mbina KF, Daraja AA, Mbehela EM, et al. The impact of host species and vector control measures on the fitness of African malaria vectors. Proc R Soc B. 2013;280(1754):20122823.View ArticlePubMedGoogle Scholar
- Lyimo I, Keegan S, Ranford-Cartwright L, Ferguson H. The impact of uniform and mixed species blood meals on the fitness of the mosquito vector Anopheles gambiae s.s.: does a specialist pay for diversifying its host species diet? J Evol Biol. 2012;25(3):452–60.View ArticlePubMedGoogle Scholar
- Smith DL, McKenzie FE. Statics and dynamics of malaria infection in Anopheles mosquitoes. Malar J. 2004;3(1):13.View ArticlePubMedPubMed CentralGoogle Scholar
- Bhatt S, Weiss D, Cameron E, Bisanzio D, Mappin B, Dalrymple U, et al. The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015. Nature. 2015;526(7572):207–11.View ArticlePubMedPubMed CentralGoogle Scholar
- Hemingway J, Ranson H, Magill A, Kolaczinski J, Fornadel C, Gimnig J, et al. Averting a malaria disaster: will insecticide resistance derail malaria control? Lancet. 2016;387(10029):1785–8.View ArticlePubMedGoogle Scholar
- Gatton ML, Chitnis N, Churcher T, Donnelly MJ, Ghani AC, Godfray HCJ, et al. The importance of mosquito behavioural adaptations to malaria control in Africa. Evolution. 2013;67(4):1218–30.View ArticlePubMedPubMed CentralGoogle Scholar
- Stone C, Chitnis N, Gross K. Environmental influences on mosquito foraging and integrated vector management can delay the evolution of behavioral resistance. Evol Appl. 2016;9(3):502–17.View ArticlePubMedPubMed CentralGoogle Scholar
- Ndenga BA, Mulaya NL, Musaki SK, Shiroko JN, Dongus S, Fillinger U. Malaria vectors and their blood-meal sources in an area of high bed net ownership in the western Kenya highlands. Malar J. 2016;15(1):76.View ArticlePubMedPubMed CentralGoogle Scholar
- Waite JL, Swain S, Lynch PA, Sharma S, Haque MA, Montgomery J, et al. Increasing the potential for malaria elimination by targeting zoophilic vectors. Sci Rep. 2017;7:40551.View ArticlePubMedPubMed CentralGoogle Scholar
- Lefèvre T, Gouagna LC, Dabiré KR, Elguero E, Fontenille D, Renaud F, et al. Beyond nature and nurture: phenotypic plasticity in blood-feeding behavior of Anopheles gambiae s.s. when humans are not readily accessible. Am J Trop Med Hyg. 2009;81(6):1023–9.View ArticlePubMedGoogle Scholar
- Beier JC. Frequent blood-feeding and restrictive sugar-feeding behavior enhance the malaria vector potential of Anopheles gambiae sl and An. funestus (Diptera: Culicidae) in western Kenya. J Med Entom. 1996;33(4):613–8.View ArticleGoogle Scholar
- Le Menach A, Takala S, McKenzie FE, Perisse A, Harris A, Flahault A, et al. An elaborated feeding cycle model for reductions in vectorial capacity of night-biting mosquitoes by insecticide-treated nets. Malar J. 2007;6(1):10.View ArticlePubMedPubMed CentralGoogle Scholar
- Birget PL, Koella JC. A genetic model of the effects of insecticide-treated bed nets on the evolution of insecticide-resistance. Evol Med Publ Health. 2015;2015(1):205–15.View ArticleGoogle Scholar
- Brännström Å, Johansson J, von Festenberg N. The hitchhiker’s guide to adaptive dynamics. Games. 2013;4(3):304–28.View ArticleGoogle Scholar
- Diekmann O. A beginner’s guide to adaptive dynamics. Banach Center Publ. 2004;63:47–86.Google Scholar
- Metz JA, Nisbet RM, Geritz SA. How should we define “fitness” for general ecological scenarios? Trends Ecol Evol. 1992;7(6):198–202.View ArticlePubMedGoogle Scholar
- Grant A. Selection pressures on vital rates in density-dependent populations. Proc R Soc B. 1997;264(1380):303–6.View ArticleGoogle Scholar
- Wilbur HM, Rudolf VH. Life-history evolution in uncertain environments: bet hedging in time. Am Nat. 2006;168(3):398–411.PubMedGoogle Scholar
- Rees M, Ellner SP. Evolving integral projection models: evolutionary demography meets eco-evolutionary dynamics. Methods Ecol Evol. 2016;7(2):157–70.View ArticleGoogle Scholar
- Briët OJ, Hardy D, Smith TA. Importance of factors determining the effective lifetime of a mass, long-lasting, insecticidal net distribution: a sensitivity analysis. Malar J. 2012;11(1):20.View ArticlePubMedPubMed CentralGoogle Scholar
- Ogola E, Villinger J, Mabuka D, Omondi D, Orindi B, Mutunga J, et al. Composition of Anopheles mosquitoes, their blood-meal hosts, and Plasmodium falciparum infection rates in three islands with disparate bed net coverage in Lake Victoria, Kenya. Malar J. 2017;16(1):360.View ArticlePubMedPubMed CentralGoogle Scholar
- McGill BJ, Brown JS. Evolutionary game theory and adaptive dynamics of continuous traits. Annu Rev Ecol Evol Syst. 2007;38:403–35.View ArticleGoogle Scholar
- Poisot T, Bever JD, Nemri A, Thrall PH, Hochberg ME. A conceptual framework for the evolution of ecological specialisation. Ecol Lett. 2011;14(9):841–51.View ArticlePubMedPubMed CentralGoogle Scholar
- Kelly D, Thompson C. Epidemiology and optimal foraging: modelling the ideal free distribution of insect vectors. Parasitol. 2000;120(3):319–27.View ArticleGoogle Scholar
- Bayoh MN, Mathias DK, Odiere MR, Mutuku FM, Kamau L, Gimnig JE, et al. Anopheles gambiae: historical population decline associated with regional distribution of insecticide-treated bed nets in western Nyanza Province, Kenya. Malar J. 2010;9(1):62.View ArticlePubMedPubMed CentralGoogle Scholar
- Russell TL, Govella NJ, Azizi S, Drakeley CJ, Kachur SP, Killeen GF. Increased proportions of outdoor feeding among residual malaria vector populations following increased use of insecticide-treated nets in rural Tanzania. Malar J. 2011;10(1):80.View ArticlePubMedPubMed CentralGoogle Scholar
- Mwangangi JM, Mbogo CM, Orindi BO, Muturi EJ, Midega JT, Nzovu J, et al. Shifts in malaria vector species composition and transmission dynamics along the Kenyan coast over the past 20 years. Malar J. 2013;12(1):13.View ArticlePubMedPubMed CentralGoogle Scholar
- Fornadel CM, Norris LC, Glass GE, Norris DE. Analysis of Anopheles arabiensis blood feeding behavior in southern Zambia during the two years after introduction of insecticide-treated bed nets. Am J Trop Med Hyg. 2010;83(4):848–53.View ArticlePubMedPubMed CentralGoogle Scholar
- Ferriere R, Legendre S. Eco-evolutionary feedbacks, adaptive dynamics and evolutionary rescue theory. Phil Trans R Soc B. 2013;368(1610):20120081.View ArticlePubMedGoogle Scholar
- Conant J, Fadem P, et al. A community guide to environmental health. Hesperian Foundation; 2008.Google Scholar