Abstract
A novel form of biological control is being applied to the dengue virus. The agent is the maternally transmitted bacterium Wolbachia, naturally absent from the main dengue vector, the mosquito Aedes aegypti. Three Wolbachia-based control strategies have been proposed. One is suppression of mosquito populations by large-scale releases of males incompatible with native females; this intervention requires ongoing releases. The other interventions transform wild mosquito populations with Wolbachia that spread via the frequency-dependent fitness advantage of Wolbachia-infected females; those interventions potentially require just a single, local release for area-wide disease control. One of these latter strategies uses Wolbachia that shortens mosquito life, indirectly preventing viral maturation/transmission. The other strategy uses Wolbachia that block viral transmission. All interventions can be undermined by viral, bacterial or mosquito evolution; viral virulence in humans may also evolve. We examine existing theory, experiments and comparative evidence to motivate predictions about evolutionary outcomes. (i) The life-shortening strategy seems the most likely to be thwarted by evolution. (ii) Mosquito suppression has a reasonable chance of working locally, at least in the short term, but long-term success over large areas is challenging. (iii) Dengue blocking faces strong selection for viral resistance but may well persist indefinitely at some level. Virulence evolution is not mathematically predictable, but comparative data provide no precedent for Wolbachia increasing dengue virulence. On balance, our analysis suggests that the considerable possible benefits of these technologies outweigh the known negatives, but the actual risk is largely unknown.
Keywords: intervention, biological control, cytoplasmic incompatibility, population suppression
Wolbachia is a maternally transmitted bacterial symbiont of many insects [1, 2] and has several unusual properties that make it suitable for novel approaches to biological control of vector-borne diseases [3–5]. First, when introduced into an uninfected species, Wolbachia often increases the relative fitness of infected females so that the infection spreads to virtual fixation (hence it is frequently called ‘selfish’). Second, Wolbachia is compatible with a broad range of hosts, whereby a strain isolated from one species can often be successfully introduced to another species, even one distantly related [6–8]. Third, Wolbachia produces a range of effects that can be exploited for disease control: it can inhibit the growth of many other microbes in its hosts [9], it can shorten the life of its hosts [10, 11], and it can be used to potentially eliminate uninfected populations or populations whose Wolbachia is incompatible with the one being released [12, 13]. Despite these myriad effects, relatively little is known about the underlying mechanisms [14–16], in part because Wolbachia cannot be cultured in vitro.
The most ambitious application yet proposed for disease control using Wolbachia is dengue ‘elimination’. Dengue is a viral disease of humans, now endemic on three continents, affecting approximately one-third of the human population [17, 18]. The main vector of dengue virus (DENV) is the mosquito Aedes aegypti, which has no native Wolbachia infection. Wolbachia were introduced into Ae. aegypti with the hope of controlling DENV transmission by shortening the life of female mosquitoes [8]. Although life-shortening was projected to have only a small impact on mosquito demography, it could potentially have a major effect on disease transmission by greatly reducing the number of females old enough to transmit the virus [19, 20].
The life-shortening Wolbachia, denoted wMelPop, was initially found in a laboratory population of Drosophila melanogaster [21]. Initial tests of wMelPop in Ae. aegypti raised doubts about the feasibility of successful introductions in nature because wMelPop severely reduced both viability and fecundity [11, 22], making spread beyond isolated populations unlikely [23–25]. Fortuitously, it was discovered almost concurrently that some Wolbachia interfere with viruses and other microbes in the same host [26, 27]. The Wolbachia variant wMel, originally found in natural D. melanogaster populations [28], partially blocks DENV transmission without greatly impacting Ae. aegypti [22, 29]. Field releases in isolated towns in northern Queensland, Australia, where DENV is not endemic but Ae. aegypti is, have successfully transformed the local Ae. aegypti populations, producing virtual fixation of DENV-blocking Wolbachia. Releases are underway to spread this infection in nearby urban areas, aiming for area-wide dengue control (S. L. O’Neill, personal communication).
All else equal, decreasing DENV transmission even slightly throughout an entire Ae. aegypti population might have a meaningful impact on human health due to the large number of infections [18, 30, 31]. Yet this optimism is justified only to the extent that evolution does not reverse the Wolbachia effect. What can we expect or predict about evolutionary responses to such a wide-scale intervention? Will dengue virus evolve to dodge the suppression? Will the virus evolve in ways that affect disease severity? How might Wolbachia be expected to evolve in this new host and how will the host evolve in response to this novel infection?
The choice of which Wolbachia strains to release is based on beneficial effects the strains exhibit at present. Yet these effects will likely change—evolve—after the release, and that evolution may alter the disease-control effectiveness of the released Wolbachia for decades to come. Successful Wolbachia introduction is nearly irreversible; additional Wolbachia infections might be used to displace the initial ones [4, 32, 33], but elimination of an infection, once established, is likely to be difficult. Hence, anticipating evolutionary changes of dengue–Wolbachia–mosquito interactions is important—and comparable to anticipating the evolution of resistance to pesticides and antibiotics.
FRAMEWORK
Our goal is to suggest plausible paths of evolutionary change as it affects Wolbachia-based control of DENV: how likely is evolution to overturn an otherwise successful strategy? We also consider evolution of dengue virulence in response to these interventions. Beyond these, other possible effects of releases abound, spanning Ae. aegypti ecology [34], impacts on the larger insect community interacting with Ae. aegypti and impacts on non-dengue microbes found within this mosquito. We neglect these latter topics for lack of evidence on which to base predictions. Our primary concern is whether we can anticipate success or failure of attempted dengue reduction and whether dengue disease incidence and effects can be predicted to change. Furthermore, we consider only the evolutionary implications of these interventions, not practical, ethical, economic or efficacy issues related to them.
THE BASES OF PREDICTION: NATURAL PATTERNS AND MODELS OF SELECTION
Evolutionary predictions can be founded on two types of evidence, and our predictions will rely on both. The most straightforward predictions are derived from actual observed evolution—experimental evolution or natural evolution (‘comparative’ evidence). In this case, the prediction is merely an extrapolation of evolution observed in one context to a new context. The second basis for prediction comes from models of natural selection, such as those that infer the fitnesses of alternative phenotypes in the context of specific ecologies [35]. Yet even when a phenotypic state has clear fitness benefits and the model has captured the relevant biology, evolutionary progress remains hostage to genetic variation. Thus, predictions of this second type require both an understanding of selection and knowledge of or assumptions about available genetic variation.
Predictions about evolution in this Wolbachia–DENV interaction are necessarily based on fragmentary evidence at this early state. Apart from simple cases like the evolution of insecticide resistance, evolution is often so sensitive to details that the only well-founded predictions are post hoc. If evolution in this system is highly sensitive to details—if our current predictions prove wrong or even prove right for the wrong reasons—our study will clarify the difficulty of making such predictions. The main hopes for successful prediction here, despite our ignorance of details, are ‘natural experiments’ that have been underway for decades if not millennia and interventions, analogous to pesticide applications, that impose such strong selection on the virus or Wolbachia that predictable evolution is expected except in the complete absence of relevant genetic variation. We will focus on these seemingly simple cases, offering predictions in advance of observed evolutionary outcomes.
EXPECTED RESPONSES TO INTERVENTIONS
Evolutionary responses to life-shortening: a clear expectation of reduced impact
Selection in response to a life-shortening maternal symbiont is aligned for both the symbiont and its host (Table 1). Under maternal transmission, Wolbachia should evolve to increase fitness of its female carriers [36]. On the basis of selection alone, therefore, we predict that Wolbachia strains that shorten host life will evolve to attenuate life shortening (as will their hosts), even though the efficacy of selection may be reduced at old ages [37]. Furthermore, any pleiotropic effects of these Wolbachia that manifest early in the mosquito life cycle will enhance this selection. This trajectory of reduced Wolbachia impact been observed in laboratory D. simulans transfected with wMelPop [38, 39]. Also, Wolbachia in natural populations of D. simulans have evolved over two decades to increase host fecundity [40]. Selection for Wolbachia to benefit their female carriers is also supported by other observations: defending hosts against other microbes and the obligate or near-obligate symbioses observed in many taxa (e.g. filarial nematodes [41], the parasitic wasp Asobara tabida [42] and various Drosophila [43, 44]).
Table 1.
Life-shortening Wolbachia
Impact on dengue | Mosquito lifespan shortened so that DENV does not complete its life cycle, hence cannot be transmitted |
Selection | Wolbachia and mosquitoes selected to extend female lifespan |
DENV selected for faster maturation | |
Genetic variation | Wolbachia strains vary in life-shortening effect, but variation within strains is unknown |
DENV can likely evolve faster maturation but with reduced transmission | |
Observed evolution | Wolbachia harm has evolved to reduced levels in caged and wild Drosophila simulans |
Prediction | Life-shortening will attenuate in as little as a decade; while life-shortening persists, DENV will evolve faster maturation but with reduced transmission |
Those direct observations from Drosophila suggest that a measurable reduction in life shortening may well occur in a decade or less. Reductions in life-shortening will enhance the spread of Wolbachia by lowering the unstable equilibrium frequency above which local infection frequencies tend to increase [23], facilitating both local introductions and spatial spread [24]. The negative effect on DENV transmission will be reduced and possibly eliminated as mosquito longevity recovers.
While host and Wolbachia are selected to attenuate life shortening, DENV would be selected to shorten its ‘extrinsic incubation period’ (EIP), the time it takes a mosquito that has just obtained a DENV-containing blood meal to be capable of DENV transmission [45]. There must be strong selection to shorten the EIP even in the absence of Wolbachia: daily survival rates in Ae. aegypti are on the order of 0.8–0.9, whereas females can typically transmit DENV only after 10 days or more ([8], cf. [20], but see [46] for short EIPs). Given that only a small fraction of mosquitoes live long enough to transmit DENV, selection on the virus to shorten its EIP must always be strong. The fact that a relatively long EIP persists in nature suggests either that a short EIP is impossible or entails a sharp decline in transmission rate; the latter alternative is supported by recent observations of short EIPs [46]. From these considerations, it seems that DENV could indeed evolve to decrease its EIP in response to life-shortening Wolbachia, but we infer that it would reduce its transmission rate to do so. A reduction in transmission should reduce disease incidence, but the magnitude of effect is difficult to predict.
A wild card in these forecasts is vertical transmission of DENV from the mosquito mother to her progeny. Vertical transmission would possibly allow a mosquito to transmit a virus acquired from her mother at an early age. Vertical transmission is apparently epidemiologically insignificant [47], but could evolve to higher levels under intervention. There are too many unknowns about such a process to make informed predictions, but the direction of evolution for DENV, Wolbachia, and the mosquito all coincide with intervention failure.
Evolutionary responses to population suppression are less clear, but success is delicate
The expected evolutionary responses to Wolbachia-based population suppression are less straightforward (Table 2). In both naturally infected and transinfected mosquitoes, matings between Wolbachia-infected males and uninfected females (or females carrying an incompatible Wolbachia variant) produce embryo mortality at or near 100%. This ‘cytoplasmic incompatibility’ (CI) was first identified in the mosquito Culex pipiens [48], and Laven [12] demonstrated that releasing incompatible males could eradicate an isolated disease-vector population of Culex pipiens fatigans. This approach is functionally analogous to the release of radiation-induced sterile males, which has proven effective against some but not all pest species [4, 5, 49].
Table 2.
Population suppression
Impact on dengue | Mosquitoes eliminated or reduced in number |
Selection | Female mosquito strongly favored to survive Wolbachia killing or avoid mating with Wolbachia-bearing males |
Genetic variation | No apparent standing variation for CI resistance in D. simulans |
Observed evolution | Wild Drosophila have not evolved to suppress incompatibility in the short term but have in the long term; Hypolimnas bolina evolved to resist male killing within a century, whereas D. innubila has not |
Prediction | Population suppression will likely remain effective over a decade or more; long-term success will be diminished by the combination of accidental releases of females from the suppressing strain, paternal transmission of Wolbachia, and evolution of mating discrimination. Economics of continual release required for long-term suppression will limit applications of this technology |
In any regime that kills entire populations, there is intense selection for escape—as learned countless times from resistance evolution to pesticides and antibiotics. The speed of local population collapse under massive male releases is such that little if any gradual evolution of escape is expected, but escape can emerge in other ways. First, any existing mutants capable of surviving the cytoplasmic incompatibility will be favored outright. Second, if the sterile male release is not large enough to extinguish the local population, or the population extends beyond the release site, female mating discrimination can evolve gradually in zones of partial suppression [50]; if practical, local genetic variation from the wild strains could be introduced into the captive stocks to mitigate discrimination. Third, any paternal transmission of Wolbachia to viable progeny or accidental release of the Wolbachia-bearing females from the suppressor strain [4] will create a wild mosquito strain no longer suppressed by that Wolbachia (in this sense, Wolbachia-induced sterility differs fundamentally from the irradiated sterile male technique). Regardless of escape mechanism, it is easily appreciated that the attempt to suppress a large mosquito population will face greater difficulties than attempts to suppress small ones, and long-term suppression will be more challenging than short-term suppression.
In many of these scenarios, the outcome rests on the existence of appropriate genetic variation. The comparative data, considered next, provide a mixed message. Over evolutionary time scales, hosts have evolved to suppress Wolbachia-induced mortality. During the 20th century, the moth Hypolimnas bolina evolved to suppress male killing by Wolbachia [51, 52]. Similarly, both comparative and experimental evidence suggest that D. melanogaster has evolved to suppress CI [53], but the age of this Wolbachia–host association is on the order of 8000 years [54].
In contrast, despite constant selection associated with the persistence of uninfected individuals produced by imperfect Wolbachia transmission, D. simulans in California has not evolved to suppress CI over the past 20 years (about 200 generations; [55]). Moreover, D. innubila has not evolved to suppress Wolbachia-induced male killing over many thousands of generations [56]. Hence, over the time scale of a population suppression effort, there might well be no significant evolution in mosquitoes to escape.
Blocking DENV: partial success expected
Some strains of Wolbachia appear to block DENV transmission. At face value, introduction and spread of those strains offers the hope of a profound suppression of DENV incidence without changing mosquito demography.
Selection
The ramifications of and expected evolution in response to Wolbachia that block DENV are more complicated than in either of the previous two cases (Table 3). Selection on the virus is straightforward: there is strong selection for viruses to avoid blocking. Direct selection on Wolbachia to block DENV is weak or absent.
Table 3.
Dengue blocking
Impact on dengue | Virus infects but cannot disseminate from mosquito |
Selection | Strongly asymmetric: DENV strongly favored to escape, Wolbachia not obviously selected (directly) to maintain blocking |
Genetic variation | Unknown |
Observed evolution | Wolbachia-infected mosquitoes transmit many human viruses but are commonly associated with reduced viral transmission |
Prediction | DENV will evolve to reduce complete blocking by Wolbachia, but partial DENV blocking will persist indefinitely |
The latter conclusion requires elaboration. Selection should certainly favor or reinforce blocking to the extent that viral infection reduces mosquito female fitness (as found for DENV-2 by [57]). But for blocking to be favored, blocking must restore female fitness. It is not immediately obvious that virus blocking per se benefits Wolbachia, as the virus is observed to replicate in some tissues of the mosquito even when transmission is blocked [58]. Furthermore, the magnitude of selection on Wolbachia is only as strong as the net effect of DENV on mosquito/Wolbachia fitness. If DENV infection frequencies in mosquitoes are on the order of 1% [59] and the fitness reduction associated with infection is on the order of a few percent [57], selection on Wolbachia to protect its mosquito host from DENV is weak at best.
If direct selection on Wolbachia for blocking is weak, indirect selection could be important. For example, blocking DENV may be a simple mechanical consequence of Wolbachia filling salivary gland cells and physically limiting resources for the virus [60]. Thus, direct selection for high Wolbachia somatic density may indirectly select for blocking. Conversely, selection may be in the other direction: lower somatic densities are found with more beneficial Wolbachia and seem to follow recent transfections [38]. Furthermore, there can be a significant deleterious fitness effect of Wolbachia in a new host (see also [22], on the order of 10% in field data with wMel [29]). Thus, evolution of reduced blocking could be rapid following an introduction. Mechanisms of dengue-blocking and host fitness reduction remain speculative [61], however, and are vital for understanding Wolbachia’s pleiotropic effects and their ramifications for evolution.
Analyses of Wolbachia-infected Ae. aegypti established in small Australian towns for 2 years indicate no significant attenuation of virus blocking (Frentiu et al., submitted for publication). Those towns lacked endemic DENV, so any possible viral adaptation could not be assessed. However, the persistence of DENV blocking in these populations—and of virus blocking in natural populations of D. melanogaster in which Wolbachia does not cause CI—suggests that virus blocking does not require deleterious effects on the insect host.
Despite uncertainties about the bases of DENV blocking, the strong asymmetry in selection on DENV versus Wolbachia supports a prediction of viral evolutionary superiority. As will be argued next from direct observations, there appears to be a limit to that superiority. Countless examples of viral escape from human interventions likewise favor the verdict of viral supremacy in this case. Yet viral escape from Wolbachia blocking is not assured. Despite a near ubiquity of viral escape from single drugs, the simultaneous use of three anti-HIV drugs (known as HAART) seems sufficient to contain HIV evolution of resistance within patients. Some viral vaccines have been used globally for half a century without any noticeable viral escape (e.g. polio, measles). The critical determinant may be the ‘dimensionality’ of the challenge to the virus—how many mutations are required simultaneously to overcome the barrier. The exact mechanism of Wolbachia blocking of dengue is unknown, but it seems to be multifarious [61, 62], so the blocking could involve a multidimensional challenge to the virus. The comparative data on DENV transmission by Ae. albopictus, which is naturally infected with Wolbachia, indicates that viral escape from transfected Ae. aegypti is far from certain, as considered next.
Comparative evidence
The evolutionary fate of the Wolbachia–dengue interaction in Ae. aegypti might be inferred from naturally occurring Wolbachia–virus interactions: is Wolbachia infection of a mosquito commonly associated with inability to transmit arboviruses? The answer is clearly no with respect to complete blocking. Culex pipiens and Aedes albopictus are common mosquito species that harbor Wolbachia [63–65]. Both species are vectors for many arboviruses (as listed on the CDC arbocat site at http://wwwn.cdc.gov/arbocat/). Indeed, Ae. albopictus transmits DENV and has caused dengue epidemics [47]. Aedes albopictus, with its Wolbachia infections, is also a major vector of chikungunya virus. Studies of chikungunya virus dynamics in Ae albopictus reveal a decline in Wolbachia density as the virus life cycle enters the transmission stage [66], as if the virus is reversing interference by Wolbachia. None of this points toward Wolbachia supremacy.
One limitation of these comparative data is that they are one-sided—the fact that a mosquito harboring Wolbachia transmits some viruses but not others could indeed reflect blocking of the missing viruses. Blocking cannot be inferred without direct experiments, whereas the absence of blocking is self-evident for the transmitted viruses. A second limitation is that the data are qualitative, not quantitative. In particular, various data indicate that ‘native’ Wolbachia infections reduce arbovirus transmission even though they do not completely block it. Transmission rates of West Nile virus by Culex quinquefasciatus are reduced 2- to 3-fold by the native Wolbachia [67]. In vitro assays of Ae. albopictus transmission suggest that the native Wolbachia completely blocks DENV-2 transmission [58]. These laboratory data corroborate meta-analyses that Ae. albopictus has significantly lower vector-competence for DENV than Ae. aegypti [47]. The latter study also reviewed ‘natural experiments’ indicating that, on islands such as Taiwan, Guam and Hawaii where Ae. albopictus has become the dominant dengue vector, dengue epidemics are much less frequent and less severe than on comparable islands with Ae. aegypti transmission.
Overall, the comparative evidence offers encouragement that Wolbachia may provide lasting, quantitative reduction in transmission of some DENV serotypes. At the same time, it seems likely that any such blocking will not fully avoid viral escape and may even vary with the mosquito genotype, as does vector competence [68]. A quantitative reduction in transmission can lead to meaningful reductions in numbers of cases, so implementation of the Wolbachia strategy should not rest on complete blocking (see [30] as an encouraging example, but [31] as an indication of the complexities in making robust predictions about the impact of reduced transmission on disease prevalence).
EVOLUTION OF DENGUE VIRULENCE IN RESPONSE TO WOLBACHIA: NO PREDICTION
Theoretical considerations have revealed that parasite virulence can evolve in response to many interventions, including vaccines [69–71]. Wolbachia can alter both the viral life history in the mosquito and the mosquito life history, and both can theoretically affect evolution of viral virulence in humans and mosquitoes. Might Wolbachia select a nastier strain of DENV? Can we make an informed prediction about evolution of DENV virulence in response to Wolbachia?
Inference from models
The short answer is that current evolution-of-virulence models cannot be relied on to confidently predict changes in dengue virulence. As background, it is important to understand that virtually all evolution-of-virulence models assume a genetic ‘trade off’ between viral transmission and virulence; virulence in turn is taken as host death rate. Most models address the equilibrium virulence, the state of virulence when no further evolution is favored by natural selection, and they compare the equilibrium level of virulence expected under alternative scenarios (e.g. with and without intervention). Furthermore, evolution-of-virulence models typically neglect the many environmental variables that can have profound effects on disease severity and can even alter the course of virulence evolution (e.g. [72]).
A basic issue when applying standard evolution of virulence models to DENV-blocking Wolbachia is whether observed dengue virulence actually corresponds to an equilibrium state as envisioned by the models. The standard model used to study virulence evolution is a ‘SIR’ model that counts susceptible hosts (S), infected hosts (I) and recovered hosts (R). A quantity critical to understanding virulence evolution is the number of transmissions over the lifetime of an infected host, which is found as the ratio (transmission rate)/(host death rate + recovery rate).
A variant with higher virulence is expected to be favored if it increases this ratio—if the increased death rate it causes is more than offset by its higher transmission rate. The tradeoff dictates that it cannot increase transmission rate without also increasing death rate.
Applying this model to current dengue virulence in the absence of Wolbachia interference, one would expect a high enough human death rate per infection to limit DENV transmission from the host. Although accurate numbers are difficult to obtain, the mortality rate over all dengue infections appears to be on the order of 0.001 or less ([17, 73]; http://www.who.int/csr/disease/dengue/impact/en/); the case fatality rate can vary several-fold over the course of an epidemic but is still low [74]. Furthermore, recent work suggests that the estimated number of dengue infections is possibly 4-fold times the apparent infection rate because of asymptomatic infections [18], further depressing the case mortality rate. As the recovery rate from DENV infections is high and the death rate very low, the ratio for DENV lifetime transmissions is insensitive to increases in death rate. It follows that increases in transmission should be favored unless they increase host mortality profoundly—i.e. unless there is an extraordinarily steep tradeoff. Such steep tradeoffs are unknown, raising doubts about the applicability of this type of model to explain current DENV virulence as an evolutionary equilibrium.
The problem of predicting DENV virulence evolution goes further. A recent model of virulence evolution of an arbovirus required parameterization of four tradeoffs affecting virulence in humans [75]. One of these tradeoffs is supported [76]: viral titer in humans correlates positively with transmission to mosquitoes (parameter β in their model); but that leaves three other tradeoffs unanswered. As the authors emphasized, an intervention such as dengue-blocking Wolbachia may either favor an increase or decrease in virulence depending on these unknown constraints.
Comparative evidence
If Wolbachia blocking generally selects increased virulence of arboviruses, one might expect higher virulence in viruses transmitted from mosquitoes infected with Wolbachia. As noted above, Wolbachia infections of Ae. albopictus partially block DENV transmission. For at least several decades, Ae. albopictus has been the dominant dengue vector on several Pacific islands and in areas of southern Asia. As noted by Lambrechts et al. [47], dengue epidemics seem systematically less severe in these areas than in comparable locales in which Ae. aegypti is the dominant vector. Furthermore, there is no suggestion that DENV has become more virulent where Ae. albopictus is the dominant vector [47]. The limited comparative evidence thus goes against evolution of higher DENV virulence in response to Wolbachia blocking. As pointed out by a reviewer, evolution of virulence is a minor consideration in areas with short-lived epidemics of DENV, where the virus dies out between successive introductions.
DISCUSSION
A radical effort is underway to limit and possibly eradicate dengue virus, an arbovirus transmitted among humans by mosquitoes of the genus Aedes. In contrast to the standard approaches of environmental dosing with chemicals, repeated introductions of short-lived biological agents, or a vaccine, population transformation with Wolbachia aims at long-term biological control. Local introductions of Wolbachia have the potential to spread widely and ultimately thwart the mosquito’s ability to transmit the virus by either of two mechanisms, depending on strain: (i) direct blocking of transmission or (ii) shortening mosquito lifespan so that she cannot mature the viral infection. Additionally, Wolbachia’s property of cytoplasmic incompatibility in crosses of infected males with uninfected females enables a third intervention, (iii) depressing local mosquito populations by releasing ‘sterile’ males. However, this latter method requires the continual release of lab-reared strains and thus depends on a substantial infrastructure (e.g. [13]).
The first two methods are unusual forms of biological control, because instead of killing the target species, Wolbachia merely spreads in the mosquito population and blocks DENV transmission. As Wolbachia derives no obvious benefit from reducing the mosquito’s ability to transmit the virus, the question is whether the release of a Wolbachia strain that currently reduces dengue transmission will persist in this effect. Our focus is reviewing the bases for predicting alternative outcomes.
The following summarizes our conclusions.
Evolution of reduced harm by Wolbachia. In many interactions, Wolbachia and host evolve toward mutualism. Use of a life-shortening Wolbachia to kill mosquitoes before they can transmit DENV is thus likely to provide at most only a short-lived benefit. Because substantial fitness costs increase the threshold frequency that must be surpassed for Wolbachia to spread, life-shortening Wolbachia will be relatively difficult to establish and are likely to spread slowly if at all [24, 25]. Introducing one Wolbachia strain may interfere with the subsequent introduction of other strains later found to have more desirable qualities, so introductions should be limited to those bacteria with a high probability of success.
Mosquito evolution in response to CI. Mating with Wolbachia-infected males can effectively sterilize uninfected/incompatible females, and infected-male releases can be used to suppress mosquito populations [12, 13]. Success can be undermined by evolution in the target mosquito population to suppress CI, but various lines of evidence suggest that genetic variation for resistance to CI is sometimes absent. Alternatively, the strategy runs a risk of failure from even rare paternal transmission of Wolbachia into the target species or from accidental release of female mosquitoes bearing the Wolbachia strain. Short-term success is thus feasible, but long-term success faces several challenges. Some mechanisms of failure can be overcome by introducing new strains of Wolbachia into the mosquitoes used for suppression.
Viral escape from transmission block. Some Wolbachia block DENV transmission. The release of such a strain thus offers the possibility of DENV eradication, if the blocking is not overcome by viral or bacterial evolution and is invariant across the mosquito population. The comparative evidence shows that some strains of Wolbachia allow viral transmission by mosquitoes, raising the possibility that evolution may ultimately reverse blocking. Combined with the strong asymmetry in selection on virus versus bacterium, the expectation is that dengue will evolve to overcome an absolute block to transmission. The time course is difficult to predict from comparative data but could be on the order of a decade or less because of the rapid evolutionary potential of the virus. Yet comparative evidence suggests that at least partial blocking will persist long term, and the long-term persistence of complete blocking is not out of the question. The quantitative impact of partial blocking on disease incidence is difficult to predict but could be meaningful because so many humans are at risk and dengue transmission rates tend to be relatively low [31].
Changes in virulence. A concern is that a successful Wolbachia intervention may select higher virulence in DENV. At this stage, however evolution of dengue virulence cannot be predicted even qualitatively. From comparative data, no unusually lethal viruses have been tied to Wolbachia presence in other vectors, and epidemics vectored by Aedes albopictus (which harbors Wolbachia) are noted to be less severe than those from Ae. aegypti. Although there is no basis for predicting the evolution of higher DENV virulence in response to virus blocking by Wolbachia, there is likewise no sound basis for rejecting the possibility of higher virulence evolution – neither null model can be rejected.
As with most biological control agents, introduction of Wolbachia into a wild population is essentially irreversible: the bacterium is likely to remain with the host indefinitely (unless replaced by another Wolbachia). However, other Wolbachia strains can be introduced on top of existing strains, with double infections (or incompatible infections) replacing the single infections (e.g. [77]). Alternatively, captive populations of the host can be cured of their Wolbachia and infected with other strains [4]. Release of sufficient numbers of hosts infected with another strain can cause displacement of the original strain if the two strains are incompatible [24, 32]. Some species exhibit a bewildering array of Wolbachia strains, and we do not yet understand the complexities of coexistence [78], so our views of strain replacement are undoubtedly naïve.
The Wolbachia releases underway provide a novel opportunity to make a priori predictions about many aspects of the near-term and long-term evolution of a selfish bacterium, a virus, and the insect host/vector. No doubt many similar opportunities for prediction will be soon afforded by the release of genetically modified organisms on what we imagine will become a vast scale. There is considerable uncertainty in anticipating some evolutionary consequences of Wolbachia on dengue, but we can marshal some evidence to identify likely outcomes, such as dengue virus partially escaping transmission blockage and Wolbachia quickly reducing its deleterious effects on the mosquito. These predictions may fail, of course. But having offered them in advance should help refine future prediction.
ACKNOWLEDGEMENTS
The authors thank A. A. Hoffmann, E. C. Holmes, T. W. Scott and C. P. Simmons for discussion, comments and references and S. L. O’Neill for comments and updates on the status of releases; several reviewers helped us clarify our arguments. Supported by NIH GM 57756 (JJB), NSF DEB 0815145 (MT) and a grant from the Foundation for the National Institutes of Health through the Grand Challenges in Global Health Initiative of the Bill and Melinda Gates Foundation (M.T.). J.J.B. receives support as the Miescher Regents Professor at the University of Texas.
Conflict of interest: M.T. is involved in the Australian Wolbachia effort currently underway and J.J.B. has no connection to any Wolbachia effort.
REFERENCES
- 1.Werren JH. Biology of Wolbachia. Annu Rev Entomol. 1997;42:587–609. doi: 10.1146/annurev.ento.42.1.587. [DOI] [PubMed] [Google Scholar]
- 2.Zug R, Hammerstein P. Still a host of hosts for Wolbachia: analysis of recent data suggests that 40% of terrestrial arthropod species are infected. PLoS One. 2012;7:e38544. doi: 10.1371/journal.pone.0038544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Curtis CF, Sinkins SP. Wolbachia as a possible means of driving genes into populations. Parasitology. 1998;116(Suppl):S111–15. doi: 10.1017/s0031182000084997. [DOI] [PubMed] [Google Scholar]
- 4.Brelsfoard CL, Dobson SL. Short note: an update on the utility of Wolbachia for controlling insect vectors and disease transmission. Aspac J Mol Biol Biotechnol. 2011;19:85–92. [Google Scholar]
- 5.McGraw EA, O’Neill SL. Beyond pesticides: new thinking on an ancient problem. Nat Rev Microbiol. 2013;11:181–93. doi: 10.1038/nrmicro2968. [DOI] [PubMed] [Google Scholar]
- 6.O’Neill SL, Giordano R, Colbert AM, et al. 16S rRNA phylogenetic analysis of the bacterial endosymbionts associated with cytoplasmic incompatibility in insects. Proc Natl Acad Sci USA. 1992;89:2699–702. doi: 10.1073/pnas.89.7.2699. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Xi Z, Khoo CCH, Dobson SL. Wolbachia establishment and invasion in an Aedes aegypti laboratory population. Science. 2005;310:326–28. doi: 10.1126/science.1117607. [DOI] [PubMed] [Google Scholar]
- 8.McMeniman CJ, Lane RV, Cass BN, et al. Stable introduction of a life-shortening Wolbachia infection into the mosquito Aedes aegypti. Science. 2009;323:141–44. doi: 10.1126/science.1165326. [DOI] [PubMed] [Google Scholar]
- 9.Moreira LA, Iturbe-Ormaetxe I, Jeffery JA, et al. A Wolbachia symbiont in Aedes aegypti limits infection with dengue, Chikungunya, and Plasmodium. Cell. 2009;139:1268–78. doi: 10.1016/j.cell.2009.11.042. [DOI] [PubMed] [Google Scholar]
- 10.Rasgon JL, Styer LM, Scott TW. Wolbachia-induced mortality as a mechanism to modulate pathogen transmission by vector arthropods. J Med Entomol. 2003;40:125–32. doi: 10.1603/0022-2585-40.2.125. [DOI] [PubMed] [Google Scholar]
- 11.Yeap HL, Mee P, Walker T, et al. Dynamics of the “popcorn” Wolbachia infection in outbred Aedes aegypti informs prospects for mosquito vector control. Genetics. 2011;187:583–95. doi: 10.1534/genetics.110.122390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Laven H. Eradication of Culex pipiens fatigans through cytoplasmic incompatibility. Nature. 1967;216:383–84. doi: 10.1038/216383a0. [DOI] [PubMed] [Google Scholar]
- 13.O’Connor L, Plichart C, Sang AC, et al. Open release of male mosquitoes infected with a wolbachia biopesticide: field performance and infection containment. PLoS Negl Trop Dis. 2012;6:e1797. doi: 10.1371/journal.pntd.0001797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Serbus LR, Casper-Lindley C, Landmann F, Sullivan W. The genetics and cell biology of Wolbachia-host interactions. Annu Rev Genet. 2008;42:683–707. doi: 10.1146/annurev.genet.41.110306.130354. [DOI] [PubMed] [Google Scholar]
- 15.Landmann F, Orsi GA, Loppin B, Sullivan W. Wolbachia-mediated cytoplasmic incompatibility is associated with impaired histone deposition in the male pronucleus. PLoS Pathog. 2009;5:e1000343. doi: 10.1371/journal.ppat.1000343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Frentiu FD, Robinson J, Young PR, et al. Wolbachia-mediated resistance to dengue virus infection and death at the cellular level. PLoS One. 2010;5:e13398. doi: 10.1371/journal.pone.0013398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Guzman MG, Halstead SB, Artsob H, et al. Dengue: a continuing global threat. Nat Rev Microbiol. 2010;8:S7–16. doi: 10.1038/nrmicro2460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Bhatt S, Gething PW, Brady OJ, et al. The global distribution and burden of dengue. Nature. doi: 10.1038/nature12060. 201;496:504–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Sinkins SP, O’Neill SL. Wolbachia as a vehicle to modify insect populations. In: Handler AM, James AA, editors. Insect Transgenesis: Methods and Applications. CRC Press; 2002. pp. 271–87. [Google Scholar]
- 20.Rasgon JL, Scott TW. Impact of population age structure on Wolbachia transgene driver efficacy: ecologically complex factors and release of genetically modified mosquitoes. Insect Biochem Mol Biol. 2004;34:707–13. doi: 10.1016/j.ibmb.2004.03.023. [DOI] [PubMed] [Google Scholar]
- 21.Min KT, Benzer S. Wolbachia, normally a symbiont of Drosophila, can be virulent, causing degeneration and early death. Proc Natl Acad Sci USA. 1997;94:10792–6. doi: 10.1073/pnas.94.20.10792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Walker T, Johnson PH, Moreira LA, et al. The wMel Wolbachia strain blocks dengue and invades caged Aedes aegypti populations. Nature. 2011;476:450–3. doi: 10.1038/nature10355. [DOI] [PubMed] [Google Scholar]
- 23.Turelli M. Cytoplasmic incompatibility in populations with overlapping generations. Evolution. 2010;64:232–41. doi: 10.1111/j.1558-5646.2009.00822.x. [DOI] [PubMed] [Google Scholar]
- 24.Barton NH, Turelli M. Spatial waves of advance with bistable dynamics: cytoplasmic and genetic analogues of Allee effects. Am Nat. 2011;178:E48–75. doi: 10.1086/661246. [DOI] [PubMed] [Google Scholar]
- 25.Schraiber JG, Kaczmarczyk AN, Kwok R, et al. Constraints on the use of lifespan-shortening Wolbachia to control dengue fever. J Theor Biol. 2012;297:26–32. doi: 10.1016/j.jtbi.2011.12.006. [DOI] [PubMed] [Google Scholar]
- 26.Hedges LM, Brownlie JC, O’Neill SL, Johnson KN. Wolbachia and virus protection in insects. Science. 2008;322:702. doi: 10.1126/science.1162418. [DOI] [PubMed] [Google Scholar]
- 27.Teixeira L, Ferreira A, Ashburner M. The bacterial symbiont Wolbachia induces resistance to RNA viral infections in Drosophila melanogaster. PLoS Biol. 2008;6:e2. doi: 10.1371/journal.pbio.1000002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hoffmann AA, Hercus M, Dagher H. Population dynamics of the Wolbachia infection causing cytoplasmic incompatibility in Drosophila melanogaster. Genetics. 1998;148: 221–31. doi: 10.1093/genetics/148.1.221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Hoffmann AA, Montgomery BL, Popovici J, et al. Successful establishment of Wolbachia in Aedes populations to suppress dengue transmission. Nature. 2011;476:454–7. doi: 10.1038/nature10356. [DOI] [PubMed] [Google Scholar]
- 30.Hancock PA, Sinkins SP, Godfray HCJ. Strategies for introducing Wolbachia to reduce transmission of mosquito-borne diseases. PLoS Negl Trop Dis. 2011;5:e1024. doi: 10.1371/journal.pntd.0001024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Hughes H, Britton NF. Modelling the use of Wolbachia to control dengue fever transmission. Bull Math Biol. 2013;75:796–818. doi: 10.1007/s11538-013-9835-4. [DOI] [PubMed] [Google Scholar]
- 32.Kriesner P, Hoffmann AA, Lee SF, et al. Rapid sequential spread of two Wolbachia variants in east Australian. Drosophila simulans. PLoS Pathog. 2013;9:e1003607. doi: 10.1371/journal.ppat.1003607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Bain G, Joshi D, Dong Y, et al. Wolbachia invades Anopheles stephensi populations and induces refractoriness to Plasmodium infection. Science. 2013;340:748–51. doi: 10.1126/science.1236192. [DOI] [PubMed] [Google Scholar]
- 34.Mains JW, Brelsfoard CL, Crain PR, et al. Population impacts of Wolbachia on Aedes albopictus. Ecol Appl Publ Ecol Soc Am. 2013;23:493–501. doi: 10.1890/12-1097.1. [DOI] [PubMed] [Google Scholar]
- 35.Williams GC. Adaptation and Natural Selection. Princeton, NJ: Princeton University Press; 1996. [Google Scholar]
- 36.Turelli M. Evolution of incompatibility-inducing microbes and their hosts. Evolution. 1994;48:1500–13. doi: 10.1111/j.1558-5646.1994.tb02192.x. [DOI] [PubMed] [Google Scholar]
- 37.Hamilton WD. The moulding of senescence by natural selection. J Theor Biol. 1966;12:12–45. doi: 10.1016/0022-5193(66)90184-6. [DOI] [PubMed] [Google Scholar]
- 38.McGraw EA, Merritt DJ, Droller JN, O’Neill SL. Wolbachia density and virulence attenuation after transfer into a novel host. Proc Natl Acad Sci USA. 2002;99:2918–23. doi: 10.1073/pnas.052466499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Carrington LB, Hoffmann AA, Weeks AR. Monitoring long-term evolutionary changes following Wolbachia introduction into a novel host: the Wolbachia popcorn infection in Drosophila simulans. Proc Biol Sci. 2010;277:2059–68. doi: 10.1098/rspb.2010.0166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Weeks AR, Turelli M, Harcombe WR, et al. From parasite to mutualist: rapid evolution of Wolbachia in natural populations of Drosophila. PLoS Biol. 2007;5:e114. doi: 10.1371/journal.pbio.0050114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Taylor MJ, Voronin D, Johnston KL, Ford L. Wolbachia filarial interactions. Cell Microbiol. 2013;15:520–6. doi: 10.1111/cmi.12084. [DOI] [PubMed] [Google Scholar]
- 42.Dedeine F, Vavre F, Fleury F, et al. Removing symbiotic Wolbachia bacteria specifically inhibits oogenesis in a parasitic wasp. Proc Natl Acad Sci USA. 2001;98:6247–52. doi: 10.1073/pnas.101304298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Miller WJ, Ehrman L, Schneider D. Infectious speciation revisited: impact of symbiont-depletion on female fitness and mating behavior of Drosophila paulistorum. PLoS Pathog. 2010;6:e1001214. doi: 10.1371/journal.ppat.1001214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Fast EM, Toomey ME, Panaram K, et al. Wolbachia enhance Drosophila stem cell proliferation and target the germline stem cell niche. Science. 2011;334:990–2. doi: 10.1126/science.1209609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Tjaden NB, Thomas SM, Fischer D, Beierkuhnlein C. Extrinsic incubation period of dengue: knowledge, backlog, and applications of temperature dependence. PLoS Negl Trop Dis. 2013;7:e2207. doi: 10.1371/journal.pntd.0002207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Ritchie SA, Montgomery BL, Hoffmann AA. Novel estimates of Aedes aegypti (Diptera: Culicidae) population size and adult survival based on Wolbachia releases. J Med Entomol. 2013;50:624–31. doi: 10.1603/me12201. [DOI] [PubMed] [Google Scholar]
- 47.Lambrechts L, Scott TW, Gubler DJ. Consequences of the expanding global distribution of Aedes albopictus for dengue virus transmission. PLoS Negl Trop Dis. 2010;4:e646. doi: 10.1371/journal.pntd.0000646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Laven H. Crossing experiments with Culex strains. Evolution. 1951;5:370–5. [Google Scholar]
- 49.Gould F. Broadening the application of evolutionarily based genetic pest management. Evolution. 2008;62:500–10. doi: 10.1111/j.1558-5646.2007.00298.x. [DOI] [PubMed] [Google Scholar]
- 50.Jaenike J, Dyer KA, Cornish C, Minhas MS. Asymmetrical reinforcement and Wolbachia infection in Drosophila. PLoS Biol. 2006;4:e325. doi: 10.1371/journal.pbio.0040325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Hornett EA, Charlat S, Duplouy AMR, et al. Evolution of male-killer suppression in a natural population. PLoS Biol. 2006;4:e283. doi: 10.1371/journal.pbio.0040283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Hornett EA, Charlat S, Wedell N, et al. Rapidly shifting sex ratio across a species range. Curr Biol Cb. 2009;19:1628–31. doi: 10.1016/j.cub.2009.07.071. [DOI] [PubMed] [Google Scholar]
- 53.Hoffmann AA, Turelli M. Cytoplasmic incompatibility in insects. In: O’Neill SL, Hoffmann AA, Werren JH, editors. Influential Passengers: Inherited Microorganisms and Arthropod Reproduction. Oxford, UK: Oxford University Press; 1997. 232. [Google Scholar]
- 54.Richardson MF, Weinert LA, Welch JJ, et al. Population genomics of the Wolbachia endosymbiont in Drosophila melanogaster. PLoS Genet. 2012;8:e1003129. doi: 10.1371/journal.pgen.1003129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Carrington LB, Lipkowitz JR, Hoffmann AA, Turelli M. A re-examination of Wolbachia-induced cytoplasmic incompatibility in California Drosophila simulans. PLoS One. 2011;6: e22565. doi: 10.1371/journal.pone.0022565. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Jaenike J, Dyer KA. No resistance to male-killing Wolbachia after thousands of years of infection. J Evol Biol. 2008;21:1570–7. doi: 10.1111/j.1420-9101.2008.01607.x. [DOI] [PubMed] [Google Scholar]
- 57.Maciel-de-Freitas R, Koella JC, Lourenço-de-Oliveira R. Lower survival rate, longevity and fecundity of Aedes aegypti (Diptera: Culicidae) females orally challenged with dengue virus serotype 2. Trans R Soc Trop Med Hyg. 2011;105:452–8. doi: 10.1016/j.trstmh.2011.05.006. [DOI] [PubMed] [Google Scholar]
- 58.Mousson L, Zouache K, Arias-Goeta C, et al. The native Wolbachia symbionts limit transmission of dengue virus in Aedes albopictus. PLoS Negl Trop Dis. 2012;6:e1989. doi: 10.1371/journal.pntd.0001989. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Yoon I-K, Getis A, Aldstadt J, et al. Fine scale spatiotemporal clustering of dengue virus transmission in children and Aedes aegypti in rural Thai villages. PLoS Negl Trop Dis. 2012;6:e1730. doi: 10.1371/journal.pntd.0001730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Osborne SE, Iturbe-Ormaetxe I, Brownlie JC, et al. Antiviral protection and the importance of Wolbachia density and tissue tropism in Drosophila simulans. Appl. and Env. Micro. 2012;78:6922–9. doi: 10.1128/AEM.01727-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Caragata EP, Rancès E, Hedges LM, et al. Dietary cholesterol modulates pathogen blocking by Wolbachia. PLoS Pathog. 2013;9:e1003459. doi: 10.1371/journal.ppat.1003459. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Rancès E, Ye YH, Woolfit M, et al. The relative importance of innate immune priming in Wolbachia-mediated dengue interference. PLoS Pathog. 2012;8:e1002548. doi: 10.1371/journal.ppat.1002548. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Yen JH, Barr AR. New hypothesis of the cause of cytoplasmic incompatibility in Culex pipiens L. Nature. 1971;232:657–8. doi: 10.1038/232657a0. [DOI] [PubMed] [Google Scholar]
- 64.Kambhampati S, Rai KS, Burgun SJ. Unidirectional cytoplasmic incompatibility in the mosquito, Aedes albopictus. Evolution. 1993;47:673–7. doi: 10.1111/j.1558-5646.1993.tb02121.x. [DOI] [PubMed] [Google Scholar]
- 65.Sinkins SP, Braig HR, O’Neill SL. Wolbachia pipientis: bacterial density and unidirectional cytoplasmic incompatibility between infected populations of Aedes albopictus. Exp Parasitol. 1995;81:284–91. doi: 10.1006/expr.1995.1119. [DOI] [PubMed] [Google Scholar]
- 66.Mousson L, Martin E, Zouache K. Wolbachia modulates Chikungunya replication in Aedes albopictus. Mol Ecol. 2010;19:1953–64. doi: 10.1111/j.1365-294X.2010.04606.x. [DOI] [PubMed] [Google Scholar]
- 67.Glaser RL, Meola MA. The native Wolbachia endosymbionts of Drosophila melanogaster and Culex quinquefasciatus increase host resistance to West Nile virus infection. PLoS One. 2010;5:e11977. doi: 10.1371/journal.pone.0011977. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Beerntsen BT, James AA, Christensen BM. Genetics of mosquito vector competence. Microbiol Mol Biol Rev Mmbr. 2000;64:115–37. doi: 10.1128/mmbr.64.1.115-137.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Ewald PW. Evolution of Infectious Disease. Oxford, UK: Oxford University Press; 1996. [Google Scholar]
- 70.Gandon S, Day T. Understanding and managing pathogen evolution: a way forward. Trends Microbiol. 2003;11:206–7. doi: 10.1016/s0966-842x(03)00074-x. author reply 208–9. [DOI] [PubMed] [Google Scholar]
- 71.Mackinnon MJ, Gandon S, Read AF. Virulence evolution in response to vaccination: the case of malaria. Vaccine. 2008;26(Suppl 3):C42–52. doi: 10.1016/j.vaccine.2008.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Vizoso DB, Ebert D. Phenotypic plasticity of host-parasite interactions in response to the route of infection. J Evol Biol. 2005;18:911–21. doi: 10.1111/j.1420-9101.2005.00920.x. [DOI] [PubMed] [Google Scholar]
- 73.Word Health Organization. Dengue Haemorrhagic Fever; Diagnosis, Treatment, Prevention, and Control. Geneva: 1997. [Google Scholar]
- 74.Guzmán MG, Kourí G, Halstead SB. Do escape mutants explain rapid increases in dengue case-fatality rates within epidemics? Lancet. 2000;355:1902–3. doi: 10.1016/S0140-6736(00)02303-5. [DOI] [PubMed] [Google Scholar]
- 75.Medlock J, Luz PM, Struchiner CJ, Galvani AP. The impact of transgenic mosquitoes on dengue virulence to humans and mosquitoes. Am Nat. 2009;174:565–77. doi: 10.1086/605403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Nguyen NM, Thi Hue Kien D, Tuan TV, et al. Host and viral features of human dengue cases shape the population of infected and infectious Aedes aegypti mosquitoes. Proc Natl Acad Sci USA. 2013;110:9072–7. doi: 10.1073/pnas.1303395110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Bordenstein SR, Werren JH. Bidirectional incompatibility among divergent Wolbachia and incompatibility level differences among closely related Wolbachia in Nasonia. Heredity. 2007;99:278–87. doi: 10.1038/sj.hdy.6800994. [DOI] [PubMed] [Google Scholar]
- 78.Duron O, Raymond M, Weill M. Many compatible Wolbachia strains coexist within natural populations of Culex pipiens mosquito. Heredity. 2011;106:986–93. doi: 10.1038/hdy.2010.146. [DOI] [PMC free article] [PubMed] [Google Scholar]