Skip to main content
Evolutionary Applications logoLink to Evolutionary Applications
. 2015 Jul 20;8(8):751–768. doi: 10.1111/eva.12286

Wolbachia strains for disease control: ecological and evolutionary considerations

Ary A Hoffmann 1, Perran A Ross 1, Gordana Rašić 1
PMCID: PMC4561566  PMID: 26366194

Abstract

Wolbachia are endosymbionts found in many insects with the potential to suppress vectorborne diseases, particularly through interfering with pathogen transmission. Wolbachia strains are highly variable in their effects on hosts, raising the issue of which attributes should be selected to ensure that the best strains are developed for disease control. This depends on their ability to suppress viral transmission, invade host populations, persist without loss of viral suppression and not interfere with other control strategies. The potential to achieve these objectives is likely to involve evolutionary constraints; viral suppression may be limited by the ability of infections to spread due to deleterious host fitness effects. However, there are exceptions to these patterns in both natural infections and in novel associations generated following interspecific transfer, suggesting that pathogen blockage, deleterious fitness effects and changes to reproductive biology might be at least partly decoupled to achieve ideal infection attributes. The stability of introduced Wolbachia and its effects on viral transmission remain unclear, but rapid evolutionary changes seem unlikely. Although deliberate transfers of Wolbachia across species remain particularly challenging, the availability of strains with desirable attributes should be expanded, taking advantage of the diversity available across thousands of strains in natural populations.

Keywords: Aedes, deployment issues, disease control, fitness, strain attributes, virus, Wolbachia

Introduction

There is currently a high level of interest in using Wolbachia to indirectly suppress the incidence of vectorborne human diseases such as malaria, dengue fever or filariasis (McGraw and O'Neill 2013; Sinkins 2013; Bourtzis et al. 2014), or plant diseases caused by mosaic viruses and other disease agents (Box 1). Wolbachia are endosymbiotic bacteria living in all orders of insects and in other invertebrates. They are often promoted as a ‘natural’ way of manipulating insect hosts, in contrast to other approaches for manipulating vector biology, particularly through genetic modification, that are often regarded with suspicion because they involve novel constructs that are not present in the environment with the potential to spread to other nonvector species. While Wolbachia are already widespread in the environment, they are restricted to living exclusively within host cells and spread by changing the biology of their host species (O'Neill et al. 1997).

Box 1: List of species in which Wolbachia have been considered from an applied perspective

Human disease vectors
Mosquitoes Target pathogens
Aedes aegypti Viruses: dengue, yellow fever, chikungunia, zika, West Nile Nematodes: filarial, mermithid
Aedes albopictus Viruses: dengue, chikungunia, Eastern equine encephalitis, La Crosse, West Nile, Japanese encephalitis Nematodes: filarial
Aedes polynesiensis Viruses: zika, dengue, Ross River Nematodes: filarial
Culex pipiens species complex Viruses: West Nile, Eastern equine encephalitis, Venezuelan equine encephalitis, Japanese encephalitis, St. Louis encephalitis, Ross River, Murray Valley encephalitis, Rift valley Nematodes: filarial
Anopheles stephensi Malaria parasites
Plant disease vectors
Planthoppers Target pathogens
Laodelphax striatellus Viruses: barley yellow striate mosaic, Northern cereal mosaic, maize rough dwarf, rice stripe tenuivirus, rice black-streaked dwarf, wheat chlorotic streak
Nilaparvata lugens Viruses: rice ragged, grassy stunt
Pests
Moths Hosts
Ephestia kuehniella Grains, flour
Ostrinia scapulalis Beans
Cadra cautella Grains, dried fruits
Fruit flies Hosts
Ceratitis capitata Fruits
Rhagoletis cerasi Fruits
Bactrocera oleae Olive fruits

Wolbachia can be used in a variety of ways for disease suppression, by decreasing the size of a vector population through (i) the release of Wolbachia-infected males that are incompatible with females (O'Connor et al. 2012) or (ii) the invasion of a Wolbachia strain that produces deleterious fitness effects particularly under seasonally variable environments (Rašić et al. 2014a), and particularly by (iii) decreasing the ability of the vector population to transmit diseases through the invasion of a Wolbachia strain that interferes directly with transmission (Teixeira et al. 2008; Kambris et al. 2009; Moreira et al. 2009; Walker et al. 2011). The third option is considered particularly promising because it may not require ongoing management by health authorities; once a Wolbachia strain blocking disease transmission has invaded a target vector population by altering host reproduction, the Wolbachia strain should stay at a high frequency in that population without further releases being required (Hoffmann et al. 2011). It is also important to note that the three strategies are not mutually exclusive but rather complementary.

Despite the promise held by Wolbachia-based disease suppression programmes particularly for viral diseases spread by mosquito vectors (Box 1), there are still substantial challenges in their widespread deployment. In particular, strains of Wolbachia for release need to be carefully selected and evaluated to ensure long-term viability of the strategy in the face of ongoing evolutionary changes, and to meet any regulatory and community concerns. In this study, we focus on these issues, using information that has been collected on insects naturally infected with Wolbachia and on artificial introductions of Wolbachia into new hosts. We consider the development of strains and host backgrounds that combine desirable attributes for disease suppression with those required for rapid invasion into target vector populations, as well as the likely long-term evolutionary stability of effects generated by Wolbachia in these populations. Much of the information we discuss comes from research in Drosophila species where Wolbachia infections have been investigated within an evolutionary and ecological context since the early 80s, and where a large number of infections have been transferred across species to investigate the interaction and evolution of host and Wolbachia genomes.

Diversity of Wolbachia and their effects

There is an enormous diversity of Wolbachia strains in nature. DNA sequence data have been used to demonstrate the presence of multiple Wolbachia variants within the same individual host, the presence of variation among Wolbachia sequences collected from different conspecific individuals, and molecular changes in the same Wolbachia infection when it is transferred to different host species. Most molecular comparisons have focussed on describing variation in Wolbachia infections across related species to characterize patterns of horizontal and vertical transmission of infections across time (e.g. Bing et al. 2014; Morrow et al. 2014), using sets of conserved primers for a series of genes such as the MLST set (Baldo et al. 2006). Many studies have used primer sets to demonstrate variation in Wolbachia strains within the same host. An example of a species carrying a complex of infections is the tsetse fly, where 37 different Wolbachia variants have been identified (Symula et al. 2013). Numerous Wolbachia strains have also been identified in mosquitoes of the Culex pipiens species complex (Atyame et al. 2011; Morningstar et al. 2012) where they (rather than the nuclear background) largely control patterns of cytoplasmic incompatibility (Duron et al. 2006). Variability among Wolbachia within the same host could arise through recombination and mutation (Klasson et al. 2009; Atyame et al. 2011), and a new Wolbachia strain could spread if it has a selective advantage and/or generates patterns of cytoplasmic incompatibility or other changes to host reproduction that favour its spread. Horizontal transmission of Wolbachia across hosts such as mediated through a parasitoid could also result in the introduction of a new Wolbachia strain into a host population. Once new Wolbachia strains arise, they can displace existing strains at a rapid rate, as indicated by the replacement of wAu by wRi in Australian populations of Drosophila simulans (Kriesner et al. 2013), but these types of replacements are thought to occur very rarely (Richardson et al. 2012).

The majority of Wolbachia stains have undescribed effects, having been detected in organisms via molecular tools (Hilgenboecker et al. 2008; Ahmed et al. 2013) and not further studied experimentally. Many of these strains may well have little impact on their host, but nevertheless persist because of a high fidelity of vertical transmission from mothers to offspring. Such infections with no apparent phenotypic effects on hosts have been described in Drosophila species (e.g. Hoffmann et al. 1996). Other Wolbachia strains are likely to have dramatic effects on their host; the most widespread of these effects is cytoplasmic incompatibility, where Wolbachia presence leads to the death of embryos and sometimes immature offspring when infected fathers mate with uninfected mothers (or mothers carrying a different Wolbachia strain). There are also Wolbachia infections that cause the death of male offspring only (male killers) and others that lead to parthenogenetic reproduction in haplodiploid organisms or feminization of male offspring (reviewed in O'Neill et al. 1997). Even when Wolbachia appear to have no phenotypic effects on their host's reproduction, they might nevertheless have other effects that only become evident once appropriate host challenges are provided; for instance, the viral blocking activity of Wolbachia strains only became apparent once infected Drosophila strains were challenged with RNA viruses (Teixeira et al. 2008; Hedges et al. 2008, Osborne et al. 2009).

Wolbachia effects exerted on hosts typically fall along a continuum; for instance, cytoplasmic incompatibility can range from complete (all offspring die) as in the case of many Wolbachia infections from mosquitoes (e.g. Rasgon and Scott 2003), to relatively weak (a small proportion of offspring die) as in the case of particular Drosophila infections (e.g. Reynolds et al. 2003). Moreover, the effects of Wolbachia on hosts can change markedly depending on environmental conditions and the age of the insect. Factors, such as the presence of natural antibiotics (Clancy and Hoffmann 1998; Lu et al. 2012), temperature extremes (Mouton et al. 2007; Bordenstein and Bordenstein 2011), the age of the male and female (Unckless et al. 2009; Tortosa et al. 2010) and interactions among these factors (Mouton et al. 2007; Bordenstein and Bordenstein 2011), can all influence the density of Wolbachia in host tissues and host effects such as cytoplasmic incompatibility.

Wolbachia density often varies substantially among individuals under field conditions (e.g. Ahantarig et al. 2008). This variation could potentially influence the transmission, fitness effects and expression of cytoplasmic incompatibility, which has been characterized in detail in Drosophila populations where variability in cytoplasmic incompatibility is high (e.g. Turelli and Hoffmann 1995) and in Culex populations where the variability is low (Rasgon and Scott 2003). However, it is not clear whether the variability reflects Wolbachia/host genomic variation or environmentally induced variation that might only have a temporary effect on density and host phenotypes. For instance, when the wHa infection in D. simulans was tested in multiple host lines derived from the field, variation in the ovarian density of the Wolbachia infection among host lines was maintained for several generations, but was eventually lost (Correa and Ballard 2012). Therefore, while experimental studies might indicate a clear correlation between Wolbachia density and cytoplasmic incompatibility/deleterious effects (e.g. Clancy and Hoffmann 1998), it is not clear whether density variation is necessarily linked to variation in the Wolbachia genome. Recently, a group of Wolbachia genes associated with density variation (the Octomom region) has been identified in the wMelPop strain of D. melanogaster (Chrostek and Teixeira 2015) and might provide candidates for affecting density in field samples.

Unpredictable phenotypic effects in new hosts

A substantial number of Wolbachia strains have now been transferred through microinjection across species boundaries, particularly in the genus Drosophila, but also across genera within and among insect orders (Table 1, Appendix S1). Successful Wolbachia transfers can be challenging, although those involving Drosophila species have been undertaken for some time and have become fairly routine (e.g. Poinsot et al. 1998; Charlat et al. 2002). Cross-infection experiments where Wolbachia are artificially transferred from one species to another have demonstrated (particularly in Drosophila) that host effects associated with a particular Wolbachia strain can persist or be modified after transfer to a new host (e.g. Ikeda et al. 2003; Osborne et al. 2012; Veneti et al. 2012).

Table 1.

Stable Wolbachia infections in native and transinfected hosts, their reproductive effects (CI – cytoplasmic incompatibility, MT – maternal transmission), fitness effects, and viral blocking effectiveness where demonstrated (? – information unavailable). Effect size is denoted as: high (>90%), moderate/partial (20–90%), low (<20%) and none (no detectible effects). More details are found in Appendix S1

Strain NATIVE HOST CI MT Fitness cost Viral blockage TRANSFECTED HOST CI MT Fitness cost Viral blockage
wMel Drosophila melanogaster1 Partial*,1,2 none3 Partial4 None5,6 some benefits3,7 High8 moderate9,10 low8,9,10,11 none8 Aedes aegypti12 High12 High12 Low12,13 High12 moderate14,15 low14
Ae. albopictus16 High16 High16 None17 High16,17
D. simulans18 High18 High18 ? Moderate19,20
wMelPop D. melanogaster21 Partial*,22 none21,23 High24 High,21,22,24 High,10,25 Ae. aegypti26 High26,27 High26,27 High26,27,28,29 High14,15,30 moderate30
Ae. albopictus31 Low31 Partial31 High31 ?
D. simulans23 High*,23,24,32 High23,24,32 High/attenuated23,32 ?
wAu D. simulans33 None33 High33 None33 High19,20 D. melanogaster34 Low/none34 High,34 Moderate35 High35
wMelCS D. melanogaster36 Low*,2 none37 ? Moderate10 none35,38 Moderate10,25 D. simulans20 ? ? ? High20
wInn D. innubila39 Male killing39 High39 Some benefits40 Low40 D. simulans41 None41 High41 Some benefits41 None41
D. melanogaster41 None41 Partial41 Some benefits41 ?
wRi D. simulans42 Partial*,42 High43 partial44 Low43 attenuated45 Moderate19 low19 Ae. albopictus46,47 High46 High46 ? ?
D. melanogaster48 Low48 Partial48 ? ?
D. serrata49 High49 High49 ? ?
D. yakuba complex50 High50 High50 ? ?
Laodelphax striatellus51 High51 Partial51 ? ?
wAlbB Ae. albopictus52 High53,54,55 High56 None57 some benefits54,55 Low17,58,59 Ae. aegypti60,61 High60 partial61 High60 partial61 Moderate§ none60 High62
Ae. polynesiensis63 High63 High63 Moderate63 Moderate64
wPip Culex pipiens complex65,66 High67 High67 Low68 none67 Low8 Ae. albopictus69 High69 High69 Low69 none70 ?

1Hoffmann (1988); 2Reynolds and Hoffmann (2002); 3Fry et al. (2004); 4Hoffmann et al. (1998); 5Harcombe and Hoffmann (2004); 6Montenegro et al. (2006); 7Fry and Rand (2002); 8Glaser and Meola (2010); 9Teixeira et al. (2008); 10Chrostek et al. (2013); 11Rances et al. (2012); 12Walker et al. (2011); 13Hoffmann et al. (2014a); 14van den Hurk et al. (2012); 15Hussain et al. (2013); 16Blagrove et al. (2012); 17Blagrove et al. (2013); 18Poinsot et al. (1998); 19Osborne et al. (2009); 20Martinez et al. (2014); 21Min and Benzer (1997); 22Reynolds et al. (2003); 23McGraw et al. (2001); 24Carrington et al. (2009); 25Hedges et al. (2008); 26McMeniman et al. (2009); 27Yeap et al. (2011); 28McMeniman and O'Neill (2010); 29Turley et al. (2009); 30Moreira et al. (2009); 31Suh et al. (2009); 32Carrington et al. (2010); 33Hoffmann et al. (1996); 34Yamada et al. (2011); 35Chrostek et al. (2014); 36Solignac et al. (1994); 37Holden et al. (1993); 38Serga et al. (2014); 39Dyer and Jaenike (2004); 40Unckless and Jaenike (2011); 41Veneti et al. (2012); 42Hoffmann et al. (1986); 43Hoffmann et al. (1990); 44Turelli and Hoffmann (1995); 45Weeks et al. (2007); 46Xi et al. (2006); 47Fu et al. (2010); 48Boyle et al. (1993); 49Clancy and Hoffmann (1997); 50Zabalou et al. (2004); 51Kang et al. (2003); 52Sinkins et al. (1995); 53Dobson et al. (2001); 54Dobson et al. (2004); 55Dobson et al. (2002); 56Kittayapong et al. (2002); 57Calvitti et al. (2009); 58Mousson et al. (2012); 59Mousson et al. (2010); 60Xi et al. (2005); 61Ruang-Areerate and Kittayapong (2006); 62Bian et al. (2010); 63Andrews et al. (2012); 64Bian et al. (2013a); 65Hertig and Wolbach (1924); 66Yen and Barr (1973); 67Rasgon and Scott (2003); 68de Almeida et al. (2011); 69Calvitti et al. (2010); 70Moretti and Calvitti (2013).

*

High for one day old males, but decreases rapidly with increasing male age;

increases with higher Octomom copy numbers (Chrostek and Teixeira 2015);

inferred based on routine propagation of transinfected lines without loss of infection over time;

§

unpublished work by J Axford and AA Hoffmann.

The marked changes in cytoplasmic incompatibility and other reproductive effects, as well as host fitness effects, are typified by the wAu infection and lack of fitness effects in its native host but life shortening following transfer to D. melanogaster (Chrostek et al. 2014), and the absence of male killing when Wolbachia from Drosophila innubila are transferred to D. melanogaster and D. simulans (Veneti et al. 2012). As another example, wCauA causes cytoplasmic incompatibility in its native host, Cadra cautella (Sasaki and Ishikawa 1999), but when transferred to Ephestia kuehniella, it causes male killing (Sasaki et al. 2002) (see Appendix S1). There are also several other instances where shifts in cytoplasmic incompatibility occur when Wolbachia from one host are transferred to a different species within the same genus (e.g. Boyle et al. 1993), and clearly, viral interference will also depend on host effects as reflected by the limited blockage provided by wAlbB in its native Ae. albopictus host compared to strong blockage when this infection is transferred to Ae. aegypti (Bian et al. 2010) and other examples (Table 1, Appendix S1).

Desirable attributes of Wolbachia strains for disease suppression

With many thousands of Wolbachia strains existing in nature and interacting with host genomes and local environments in different ways, Wolbachia could be used in a variety of ways for disease control strategies aimed at suppressing vector populations and directly interfering with disease transmission. Some important transfers of Wolbachia to disease vectors have now been achieved, including transfers of Wolbachia from Drosophila to Aedes mosquitoes for the production of vectors that exhibit shortened lifespan (McMeniman et al. 2009) and suppression of RNA viruses and other disease agents (Kambris et al. 2009; Moreira et al. 2009; Walker et al. 2011). In addition, there have been successful transfers of Wolbachia from Aedes albopictus to Aedes aegypti to achieve virus suppression (Xi et al. 2005; Bian et al. 2010). These transfers capture a tiny fraction of the vast diversity of Wolbachia strains available in natural populations of insects related to mosquitoes. Yet, they are already raising questions about how Wolbachia strains and host backgrounds might be developed for disease suppression.

Different strain attributes are required by the three strategies that use Wolbachia to reduce disease transmission. The simplest requirement is for population suppression via male release where the main attribute is for released males to exhibit strong cytoplasmic incompatibility when they mate with field females. Released males also need to be competitive with males from natural populations. Competitive ability could be reduced if Wolbachia in the release strain directly reduces male competitive fitness and/or if the host nuclear background of the release strain has a detrimental effect on male field competitiveness. At least for Ae.aegypti carrying the wMel or wMelPop infection, there is no evidence that Wolbachia directly reduces male competitive fitness (Segoli et al. 2014), while Ae. polynesiensis carrying Wolbachia are also competitive in field releases (O'Connor et al. 2012). Detrimental host nuclear effects might develop if the release strain evolves and becomes adapted to conditions used for artificial rearing. This can be circumvented through backcrossing the release strain to field-sourced material prior to releases taking place, although it may then be more difficult to rear the strain under the artificial conditions if adaptation has taken place. Male competitiveness also needs to be high for successful Wolbachia strategies involving invasion (that utilize deleterious fitness effects and viral interference) because strong cytoplasmic incompatibility is required to drive the infection into a target population. In addition, several other attributes will be required for invasion-based strategies.

Ease of invasion into field populations

To produce disease suppression by interfering with pathogen transmission or expressing deleterious fitness effects, Wolbachia strains need to invade and reach high frequencies in focal populations. In Wolbachia strains that have so far been introduced into Ae. aegypti populations, cytoplasmic incompatibility has been complete or nearly complete with uninfected target populations (Xi et al. 2005; McMeniman et al. 2009; Walker et al. 2011; Yeap et al. 2011), facilitating invasions. As long as there are no substantial deleterious effects of the Wolbachia on the hosts and as long as the infection is transmitted with a relatively high fidelity, invasion should be possible under strong cytoplasmic incompatibility. However, if a focal population is already infected with a Wolbachia strain that shows bidirectional incompatibility with the release strain, invasion becomes more difficult. Under bidirectional incompatibility between two Wolbachia strains with equivalent deleterious effects on a host, the infection frequency of an introduced strain has to exceed 50% to achieve invasion (Hoffmann and Turelli 1997).This situation applies to the wMel infection introduced into Ae. albopictus (Table 1) which is bidirectionally incompatible with the naturally occurring Wolbachia of this species (Blagrove et al. 2012). Invasion will also depend on other fitness attributes such as the ability of females carrying the Wolbachia strain to feed and locate breeding sites and the ability of larvae with the Wolbachia strain to compete against other conspecific larvae and other species.

Reduced pathogen transmission

For effective suppression of vectorborne diseases (strategy (iii) from above), Wolbachia strains will need to directly interfere with pathogen transmission in vector species. In Aedes mosquitoes, this has often been assessed in laboratory-based assays where blood is mixed with virus cultures to mimic titres that might be found in infected humans (Moreira et al. 2009). However, it is ideally assessed by feeding mosquitoes directly on blood from infected humans and assessing pathogens in tissue through which transmission occurs, such as the salivary glands and saliva of mosquitoes (Ferguson et al. 2015).

The ability of Wolbachia to block viruses and other microbes will depend on the nature of the viruses and the Wolbachia strains. In Drosophila, it appears that some types of viruses (DNA viruses in particular) are not affected by the presence of Wolbachia in host cells, whereas RNA viruses appear to be inhibited (Teixeira et al. 2008). The extent of inhibition varies dramatically between Wolbachia strains, such that some strains cause a dramatic reduction of the viral load in the host, whereas others have little impact (Table 1). In Aedes mosquitoes where stable Wolbachia infections have been established, the potential for Wolbachia to block different dengue virus serotypes and other RNA viruses seems to be high (Table 1, Appendix S1). The wMelPop infection appears to be highly efficacious in blocking different dengue serotypes as well as other arboviruses, at least in laboratory-based assays (Moreira et al. 2009; van den Hurk et al. 2012). For other Wolbachia infections, particularly wMel and wAlbB, blockage against dengue serotypes also appears robust (Bian et al. 2010; Frentiu et al. 2014), but somewhat weaker than provided by wMelPop (Walker et al. 2011). Recent data for wMel feeding on blood from infected human patients also point to strong blockage of dengue in saliva but show some differences among serotypes (Ferguson et al. 2015).

Stable effects on hosts

Once a high frequency of infection is reached through releases and subsequent invasion driven by cytoplasmic incompatibility and other effects, Wolbachia effects on hosts and on viral transmission need to be stable, even if there are evolutionary changes in the virus and/or changes in the host's nuclear genome and Wolbachia genome. Data on the stability of Wolbachia effects following deliberate introductions are only just starting to emerge (Frentiu et al. 2014; Hoffmann et al. 2014a), but there is some relevant information from natural Wolbachia infections in other systems and particularly in Drosophila (Chrostek et al. 2013). Strategies that utilize the deleterious host effects associated with Wolbachia infections (strategy ii from above) also require that such effects remain stable even when there might be strong selection in the host genome to counter them.

Evolutionary changes in the host genome

Evolution of host genomes in response to Wolbachia is certainly possible and is dramatically illustrated by the changes that nullify male killing by a natural Wolbachia infection in the butterfly Hypolimnas bolina (Hornett et al. 2006). Other relevant sources of evidence for such changes include experimental populations and longitudinal studies of natural populations.

Phenotypic changes in the expression of Wolbachia effects due to changes in the host nuclear genome have been documented in experimental host populations maintained both with and without deliberate selection pressures. These include evidence for nuclear-based attenuation of wMelPop effects on longevity in D. melanogaster hosts (Carrington et al. 2009) and in the novel host D. simulans (Carrington et al. 2010). When the wMelPop infection was transferred from D. melanogaster to D. simulans, it initially caused large fitness effects such as reducing fecundity and decreasing longevity as in its native host (McGraw et al. 2002). However, these effects attenuated quickly (Reynolds et al. 2003), such that wMelPop-infected D. simulans eventually exhibited an increase in longevity in some genetic backgrounds (Carrington et al. 2010). In Ae. aegypti mosquitoes, host genome changes can cause a decrease in deleterious effects of the introduced wMelPop on egg viability (A. Callahan and A. A. Hoffmann, unpublished data). The impact of host nuclear genomic backgrounds on virus blocking by Wolbachia has not yet been systematically investigated within either Drosophila or mosquito species. However, because the upregulation of immune response genes seems to be restricted to recently transferred infections in mosquitoes rather than native infections, an eventual decrease in blockage might be expected, given the likely high cost of constitutive immune gene expression.

The deliberate release of Wolbachia infections into natural mosquito populations provides an opportunity to test for host nuclear responses in natural populations across a period of a few years. In particular, the release of wMel into uninfected Ae. aegypti populations in 2011 in two areas around Cairns, Australia (Hoffmann et al. 2011), provided an opportunity to monitor changes in both the viral interference effect and deleterious host effect across a three-year time span. These comparisons have indicated that dengue interference was not altered within this period (Frentiu et al. 2014) and neither were fitness effects of Wolbachia on its host (Hoffmann et al. 2014a). Because there is ongoing gene flow into these populations as inferred from infection frequencies and a lack of maternal leakage (Hoffmann 2014b), changes in the nuclear genome due to Wolbachia are only expected if selection is relatively strong.

Although the host genome can have a substantial effect on the expression of cytoplasmic incompatibility, deleterious effects and viral interference, it is not yet clear whether there will be rapid changes in the host genome that might affect the success of Wolbachia releases aimed at disease suppression. The most rapid host changes are expected in response to any deleterious effects induced by Wolbachia, whereas selection for altered effects of Wolbachia on viral interference should be weak unless the virus has a particularly large impact on host fitness (in which case selection would favour ongoing interference by Wolbachia). The host genome is therefore most likely to influence the success of a suppression strategy based on the expression of deleterious effects following invasion.

Evolutionary changes in the Wolbachia genome

Evidence for possible changes in the Wolbachia genome comes from analysis of changes in laboratory and natural populations. In addition, the phenotypic effects associated with particular Wolbachia strains that are maintained following interspecific transfers (as in the case of the wMelPop infection following transfer from D. melanogaster to D. simulans and Ae. aegypti – Table 1) also point to effects on hosts mediated by the Wolbachia genome rather than the host genome.

It is still difficult to predict whether genomic changes in Wolbachia will be rapid enough to be detectable in experimental populations. For the virulent wMelPop infection, there have only been minor genomic changes since its introduction from D. melanogaster into the new host Ae. aegypti (Woolfit et al. 2013). On the other hand, in laboratory D. melanogaster populations, Octomom copy number seems to be able to evolve rapidly to alter the density of wMelPop (Chrostek and Teixeira 2015). There is also evidence from comparisons of conspecific populations of D. melanogaster that interactions between wMel Wolbachia and host genomes can evolve fairly rapidly (Olsen et al. 2001; Fry et al. 2004). The wRi infection of D. simulans is another such example (Weeks et al. 2007). The deleterious effects of this infection on female reproduction were first characterized in the late 1980s (Hoffmann et al. 1990). Twenty years on, such effects were no longer evident, and some infected females even showed a fecundity advantage over uninfected hosts, largely attributable to changes in wRi or another maternally inherited factor (Weeks et al. 2007).

These findings suggest that while there is ample evidence for variation in the Wolbachia genome resulting in multiple strains of Wolbachia occurring in the same host and/or conspecific individuals carrying different Wolbachia strains, it is not clear whether there will be rapid changes in Wolbachia strains being released for disease suppression. As in the case of host genome changes, any changes will most likely lead to Wolbachia strains that exert a reduced deleterious effect on their host, which might only indirectly influence viral interference.

Evolutionary changes in the viral genome

While viruses evolve rapidly, changes in the virus genome in response to Wolbachia are largely unpredictable due to a lack of relevant background information and clarity around selective factors involved (Bull and Turelli 2013). Selection on viral resistance to the blocking effects of Wolbachia might be expected, particularly given that there are differences in the extent to which dengue serotypes are blocked by Wolbachia (Frentiu et al. 2014; Ferguson et al. 2015). However, only some types of interactions between Wolbachia and viruses (such as direct competition between viruses and Wolbachia) are expected to lead to evolutionary changes (Bull and Turelli 2013). Moreover, viral evolutionary dynamics are affected by a number of factors unconnected to Wolbachia that drive viral strain replacements (Vu et al. 2010; Lambrechts et al. 2012). Wolbachia and/or host genomes could also evolve in response to any changes in the virus, particularly if these affect the fitness of the vector host, although (at least in the case of dengue) viral effects on hosts remain unclear (Maciel-de-Freitas et al. 2011).

Other effects of Wolbachia

Even though Wolbachia can decrease transmission of many viral infections, its effects on others remain uncertain. A comparison of Wolbachia-infected and cured D. melanogaster strains and Culex quinquefasciatus strains suggested that Wolbachia might block West Nile virus (Glaser and Meola 2010). However, most Culex quinquefasciatus populations appear naturally infected with Wolbachia but are still capable of transmitting West Nile (Micieli and Glaser 2014). This may reflect the fact that Wolbachia densities in natural infections are too low to have much impact on transmission of this virus. On the other hand, in a recent study where Wolbachia from another mosquito were injected into Culex dorsalis females, the titre of West Nile virus increased (Dodson et al. 2014), although this may have been an effect of the infection process; the effect of Wolbachia on West Nile needs to be investigated in a host mosquito species carrying a stably introduced Wolbachia infection. In Spodoptera moths, Wolbachia may also increase susceptibility to a virus (Graham et al. 2012); infection by nucleopolydrovirus was associated with moths carrying different strains of Wolbachia, and laboratory tests with one of the Wolbachia strains (likely a male killer) indicated much higher mortality levels following the viral infection. Because nucleopolydrovirus is being explored as a potential biopesticide, this result might point to a potentially novel application of Wolbachia releases for pest control.

It is not yet clear whether Wolbachia-based strategies will be effective against microbes other than viruses. Wolbachia introduced into the major malaria vector Anopheles stephensi protects against Plasmodium to some extent (Bian et al. 2013b), although perhaps insufficiently to provide much impact on disease transmission (Killeen et al. 2013). Moreover, it has been suggested that the presence of Wolbachia may even enhance the incidence of malaria pathogens to some extent (Zélé et al. 2014) although this requires further validation. In Drosophila, Wolbachia infections appear to have few consistent effects on bacterial infections (Wong et al. 2011), while in mosquitoes, it has been suggested that any effects on bacteria will depend on whether the immune system is upregulated following Wolbachia transfer (Ye et al. 2013).

Another issue relevant to disease transmission is the potential interaction between Wolbachia and pesticide susceptibility. For Ae. aegypti mosquitoes that are artificially infected with Wolbachia, the infection does not affect susceptibility to commonly used insecticides (Endersby and Hoffmann 2013). However, in Culex pipiens naturally infected with Wolbachia, there was rapid evolutionary increase of Wolbachia density in an insecticide-resistant line (Echaubard et al. 2010), suggesting a dynamic interaction between the Wolbachia and/or host genomes evolving under insecticide exposure.

Because most Wolbachia-transfected lines originate from few or just one female (Xi et al. 2005; McMeniman et al. 2009), Wolbachia invasions can cause a dramatic reduction of mitochondrial haplotype diversity within and among populations (H. L. Yeap and A. A. Hoffmann, unpublished data; Armbruster et al. 2003). There is a growing body of evidence linking the mitochondrial polymorphisms with differences in metabolic rate and some fitness components in Drosophila (e.g. Ballard et al. 2007; Kurbalija Novičić et al. 2015), suggesting that mitochondrial diversity in natural populations is maintained by natural selection. Mitochondrial variation might play an important role in the epistatic interaction between the mitochondrial and nuclear genomes in determining insect metabolic rate under varying environmental conditions (Arnqvist et al. 2010). It is therefore possible that the loss of mitochondrial diversity following Wolbachia invasion could affect the performance of infected populations.

Finally, the various Wolbachia effects on host fitness could change the size and age distribution of the mosquito larval community in containers (Mains et al. 2013). These effects in turn might influence interspecific interactions, particularly under high-density larval conditions when fitness differences between Wolbachia-infected strains and uninfected strains can become accentuated (Ross et al. 2014). These ecological effects of Wolbachia need to be evaluated following invasions into natural communities and could have a substantial effect on disease transmission if vector populations become suppressed due to the detrimental effects of Wolbachia infection. The most dramatic example involves the wMelPop infection of Ae. aegypti, which reduces the viability of eggs when held in a dried state (Yeap et al. 2011). During a dry season, this effect could result in the complete collapse of an isolated population until there is a reinvasion from another source (Rašić et al. 2014a). Population cage experiments indicate that collapse is likely in populations that are completely Wolbachia-infected (S. Ritchie unpublished data).

A pathogen interference/spread trade-off?

It is possible that Wolbachia infections that provide the strongest blockage of pathogen transmission might not spread easily into populations (Fig. 1). This possibility arises because a high density of Wolbachia in hosts may increase viral blockage but decrease host fitness (Chrostek et al. 2013; Sinkins 2013; Martinez et al. 2014), and such a trade-off could have driven past cycles of Wolbachia strain replacements in natural populations. For instance, the wMel-CS strain in D. melanogaster which causes strong virus blockage (Table 1) may have been replaced with the wMel strain which causes weaker blockage but does not decrease longevity to the same extent in this host (Chrostek et al. 2013). Relevant information to explore the notion of such a trade-off comes from (i) comparisons of viral suppression, host fitness and Wolbachia density between infected hosts, (ii) inferences from natural populations and (iii) mechanistic understanding of the common basis of viral interference.

Figure 1.

Figure 1

The first two principal components explaining 80.6% of total variation among Wolbachia strains in natural and transinfected hosts for the levels of: cytoplasmic incompatibility/male killing, maternal transmission, fitness costs and blockage of RNA viruses. Empty symbols denote natural Wolbachia infections, and filled symbols denote transinfections. Each infection attribute is ordered as: 0 (no effect), 1 (low), 2 (medium/partial) or 3 (high/full effect). Fitness cost has an additional value of −1 for infection effects that are somewhat beneficial. Twenty-one data points summarize values extracted from Table 1. Overall effects in natural hosts seem different from those in transinfected hosts, and the effects are also virus-dependent. Colinearity between fitness cost and viral blockage suggest that there is a possible trade-off between these effects, such that strains with strong viral protection might be difficult to spread due to higher deleterious effects on the host. Exceptions to these patterns, ho wever, indicate that it may be possible to achieve a desirable combination of infection attributes, but more strains need to be tested.

Viral suppression vs host fitness and Wolbachia density

Several authors have contrasted viral blockage (measured as survival/longevity following pathogen infection) in Wolbachia strains from Drosophila with effects on host fitness (mostly measured as longevity in the absence of the infection) and on cytoplasmic incompatibility (Table 1). These comparisons involve a relatively limited number of Wolbachia infections and a comparison of natural and introduced Wolbachia strains which may have different dynamics (Table 1, Fig. 1). In D. simulans, where the largest number of comparisons have been made involving 19 strains, survival following RNA viral infection is positively correlated with Wolbachia tissue density, although there are strains with relatively high Wolbachia densities that have a limited impact on survival (Martinez et al. 2014). Any association between deleterious Wolbachia effects and viral blockage may also not be particularly strong. In a comparison of five Wolbachia strains including one from a non-native host (D. melanogaster), the wAu infection caused the strongest blockage and had the highest density across tissues (Osborne et al. 2009, 2012), yet this strain does not cause detectable cytoplasmic incompatibility or have deleterious fitness effects, and is also transmitted at a high fidelity under field conditions (Hoffmann et al. 1996).

The wMelPop infection was transferred from D. melanogaster to Ae. aegypti to generate a strain that has a reduced longevity and thereby a reduced propensity to transmit diseases requiring a long incubation period through older females (McMeniman et al. 2009). In subsequent experiments, this strain was shown to have very strong blockage of viral replication and disease transmission in laboratory assays (Moreira et al. 2009). However, the wMelPop infection also causes substantial fitness costs, not just to longevity but also for egg viability, particularly when eggs are in a quiescent stage (McMeniman and O'Neill 2010; Yeap et al. 2011). The wMelPop infection also has deleterious effects on larval development under crowded conditions (Ross et al. 2014) and on some adult traits (e.g. Turley et al. 2009). In contrast, the wMel infection causes somewhat weaker blockage of dengue and other viruses than wMelPop, but has fewer deleterious effects as well as having a lower titre in adults (Walker et al. 2011; Hoffmann et al. 2014a).

The wMel infection was also transferred to Ae. albopictus where it causes strong blockage of chikungunya virus and dengue in laboratory assays, but has no apparent effects on longevity, hatch rates or other laboratory fitness parameters, despite generating strong cytoplasmic incompatibility (Blagrove et al. 2012, 2013). The wAlbB infection that blocks the transmission of dengue viruses in Ae.aegypti (Xi et al. 2005; Bian et al. 2010) has deleterious fitness effects on its host including a decrease in the viability of quiescent eggs and a reduction in longevity, although these deleterious effects are weaker compared to those exerted by wMelPop (J. Axford, unpublished data). When the native wPolA infection in Ae. polynesiensis was replaced with wAlbB from Ae. albopictus, there was an increase in Wolbachia density and evidence of dengue blocking in this species (Bian et al. 2013a), although it is not yet clear whether this transferred strain also produced deleterious fitness effects (Table 1).

Wolbachia density represents a complex phenotype, typically measured in three contexts: (i) whole body density, usually measured in newly eclosed adults; (ii) tissue specific density, focussing on heads, abdomens, ovaries, testes, salivary glands and so on; and (iii) age-specific (and life stage-specific) density, which can indicate whether Wolbachia continue to replicate when hosts have reached maturity or enter a quiescent phase. Changes in whole body density through exposure to low levels of antibiotics (usually tetracycline) typically reduce cytoplasmic incompatibility induced by Wolbachia, as demonstrated in the case of D. simulans (Clancy and Hoffmann 1998) and Nasonia wasps (Breeuwer and Werren 1993), and also reduce viral interference as shown for wAu in D. simulans (Osborne et al. 2012). These experimental data support the notion that differences in Wolbachia density can be linked to the expression of host effects and support the notion of a blocking/spread trade-off, particularly given that strain variation in Wolbachia density has a positive relationship to blockage in D. simulans as noted above (Martinez et al. 2014). However, the expression of strong cytoplasmic incompatibility in the Drosophila paulistorum species complex involves very low Wolbachia titres that can only be detected although nonconventional molecular methods (Miller et al. 2010), whereas high-density infections of other Drosophila species such as wAu (Osborne et al. 2012) have no detectable effects on cytoplasmic incompatibility or host fitness (Hoffmann et al. 1996). The effects of some infections can therefore be unconnected to their overall densities in hosts.

The tissue distribution of strains may influence pathogen blocking and host effects. For instance, the wRi and wHa infections in D. simulans are restricted mostly to gonadal tissues (Binnington and Hoffmann 1989; Correa and Ballard 2014), have mild deleterious effects (Hoffmann et al. 1990; Turelli and Hoffmann 1995) and cause mid- to low-level viral blockage (Osborne et al. 2009). On the other hand, the wAu and wMelPop infections may block pathogens effectively because they are found in a variety of tissues (Min and Benzer 1997; Osborne et al. 2012). In mosquitoes, Wolbachia presence in a variety of tissues through which a virus needs to pass to be transmitted may be crucial for generating strong transmission blockage; for instance, wMelPop which causes strong blockage is found in many tissues including the salivary glands of Ae. aegypti (Moreira et al. 2009). This feature seems particularly important for dengue viruses, where a density-dependent cellular relationship between Wolbachia and viral load has been reported (Lu et al. 2012).

Some Wolbachia infections attain higher densities at eclosion and replicate at a higher rate than others when hosts reach adulthood (Chrostek and Teixeira 2015), resulting in very high densities throughout the body as hosts age. While this high density might result in strong pathogen blockage, it could also eventually kill the host and limit the potential of such infections to spread. The reduced longevity of D. melanogaster infected by the wMelPop strain is thought to be due to ongoing replication and increasing density of this virus (Min and Benzer 1997), as is the reduction in longevity and increased mortality of quiescent eggs in Ae. aegypti artificially infected by wMelPop (McMeniman and O'Neill 2010; Yeap et al. 2011). Continued Wolbachia replication may also contribute to hybrid sterility in crosses between D. paulistorum semi-species (Miller et al. 2010).

The distribution of Wolbachia within hosts is expected to be altered due to evolutionary changes in the host and Wolbachia. The distribution of Wolbachia densities across tissues in long-standing infections is expected to become more variable if there is no evolution towards obligate relationship with the host (Correa and Ballard 2014). Strong cytoplasmic incompatibility with infected sperm should favour accurate transmission of an infection across generations, resulting in strong tissue tropism. However, for old infections where cytoplasmic incompatibility is weak (e.g. wMa in D. simulans), Wolbachia density in tissues is expected to be variable because selection pressures for accurate transmission are weak (Correa and Ballard 2014). Such evolutionary changes are expected to weaken any blocking/spread trade-off.

These examples provide some support for a possible relationship between viral blockage, deleterious host effects and Wolbachia density, but too few strains have so far been examined. Moreover, the Drosophila data suggest that it is possible to identify infected lines demonstrating strong blockage, strong cytoplasmic incompatibility and no apparent fitness effects on the host. However, it is not yet clear whether such lines can be developed from novel combinations of hosts and infections generated through artificial transfers of Wolbachia.

Inferences from changes in natural populations

Although the potential benefits that hosts gain from pathogen blocking have so far only been demonstrated in laboratory tests (Chrostek et al. 2013), it seems likely that similar benefits will occur under field conditions. Recently, the wAu infection in D. simulans which causes strong viral blockage but no detectable cytoplasmic incompatibility (Hoffmann et al. 1996) has nevertheless been shown to increase rapidly in natural populations (Kriesner et al. 2013), suggesting that the infection provides a fitness advantage to its host which may include viral blocking. Another example is the wMel infection of D. melanogaster, which exhibits a stable cline in eastern Australia suggestive of selection (Hoffmann et al. 1994), but causes only partial cytoplasmic incompatibility in matings with young males (Reynolds et al. 2003). Given that this infection shows incomplete maternal transmission, it is hard to explain its persistence in D. melanogaster populations without assuming some sort of fitness benefit (Hoffmann et al. 1994). However, we still lack field data testing for a direct association between Wolbachia infection and natural viral load. If field strains exist that provide a fitness advantage under a high viral load but have few other effects on hosts, these would indicate that a blocking/spread trade-off can be avoided.

Mechanistic understanding of viral interference/host effects – immune priming and other effects

If the mechanisms involved in viral blockage, cytoplasmic incompatibility, and host fitness effects were understood, it might help in predicting likely interactions among Wolbachia effects. Viral blocking by Wolbachia seems to involve a number of subcomponents (Rances et al. 2013; Sinkins 2013). Part of the blockage may come from the upregulation of the immune system, as suggested by the increased expression of some immune response genes following recent Wolbachia transfers in mosquitoes (Kambris et al. 2009; Lu et al. 2012). However, cross-species transfers of Wolbachia do not necessarily lead to immune priming, as in the case of the experimental wAu infection of D. melanogaster (Chrostek et al. 2014). Other mechanisms have also been implicated, such as competition for resources such as cholesterol, interactions involving various metabolites, and the expression of microRNAs (Caragata et al. 2013; Zhang et al. 2013). Blockage mechanisms may be partly related to changes in the tissue distribution and density of Wolbachia particularly following transfer to a new host. For instance, native Wolbachia infections of Ae. albopictus have a relatively low density; the natural wAlbB infection of Ae. albopictus seems to cause some suppression of dengue and chikungunya viruses in its native host (Mousson et al. 2012). However, following transfer from Ae. albopictus into Ae. aegypti, the same infection develops a much higher density and blocking effect (Lu et al. 2012).

Overall, these different lines of evidence point to a complicated pattern of interaction between pathogen blockage, deleterious fitness effects and cytoplasmic incompatibility. Host effects are not necessarily tightly linked mechanistically or through density, and a trade-off between blockage and spread might exist when host effects are predominantly related to density, but might in other cases be circumvented (Fig. 1). The Drosophila data indicate that strains such as wAu with strong blockage, no deleterious effects, high densities and no cytoplasmic incompatibility exist in populations alongside strains such as wHa that cause strong cytoplasmic incompatibility, but no blockage or large deleterious effects. A range of infections with different combinations of attributes occur in natural populations, including strains that might exhibit relatively strong blockage while also being able to easily spread in the absence of over replication after eclosion, and a high density in reproductive tissues to ensure strong cytoplasmic incompatibility and high maternal transmission. Unfortunately, the same combination of attributes might not be maintained after such a strain is transferred to a target vector host. For example, the wMel infection causes weak cytoplasmic incompatibility in its native Drosophila host but complete cytoplasmic incompatibility once transferred to Ae. aegypti, which has been essential for its successful spread (Hoffmann et al. 2011). Similarly, the wAu infection has no detectable fitness effect in its native host D. simulans, but causes a sharp reduction in lifespan and exhibits exponential growth when transferred to D. melanogaster (Chrostek et al. 2014). Therefore, intra- and intergeneric transfers across host species have unexpected consequences that may affect the suitability of strains for disease suppression.

Other deployment issues

Host population ecology

The successful invasion of Wolbachia infections will depend on the ecology of the host population. For example, if wMelPop is released into a host mosquito population where breeding sites lead to rapid egg hatch and where larvae develop under low densities, Wolbachia is more likely to invade. This is because the wMelPop infection does not strongly affect host viability and development time under low-density conditions and in the absence of dry conditions (McMeniman and O'Neill 2010; Yeap et al. 2011). On the other hand, there are development time and viability costs when wMelPop-infected mosquitoes are reared at a high density in competition with uninfected larvae (Ross et al. 2014). High-density conditions coupled with an extended period of dry season will raise costs and the threshold Wolbachia frequency required for a wMelPop invasion (Hancock et al. 2011; Yeap et al. 2014).

Areas of high mosquito density could be identified through factors such as housing characteristics, distribution of breeding containers and so on if this information is available from past surveys. Such information can be used to inform local invasion rates (Hoffmann et al. 2014b) and potential pockets where uninfected mosquitoes might persist and require additional treatment. Local knowledge of the ecology of mosquito populations should be used to inform release strategies; for instance, breeding containers that fill only occasionally after rain may need to be treated to remove sources of uninfected mosquitoes.

Release programmes also need to take into account expected movement patterns of mosquitoes and variation in host density across the region. Information on natural movement patterns from mark-release experiments or genetic analyses of local populations (e.g. Harrington et al. 2005; Olanratmanee et al. 2013) can provide a picture of likely movement patterns. By characterizing thousands of SNP markers, a much higher level of resolution of population structure can be obtained, and the movement of related individuals across a region can also be followed (Rašić et al. 2014b).

Wolbachia invasion into an isolated uninfected population of a target host only occurs if Wolbachia frequencies consistently exceed a particular frequency set by the size of the deleterious effects of Wolbachia on its host, levels of cytoplasmic incompatibility and to a lesser extent by the fidelity of maternal transmission (Hoffmann and Turelli 1997; Turelli 2010). If deleterious host effects associated with Wolbachia infections are too large, Wolbachia invasion into target host populations becomes difficult and high infection frequencies might not be sustained even if invasion succeeds. Invasion and persistence become increasingly unlikely if there is ongoing immigration of uninfected individuals into a relatively small release area (Barton and Turelli 2011) and if there are fitness effects of Wolbachia that decrease the size of the target population, making reinvasion by uninfected mosquitoes more likely (Rašić et al. 2014a).

A benefit of releasing infections with at least some deleterious fitness effects is that infections are expected to remain contained within an area rather than spreading rampantly (Barton and Turelli 2011; Hancock and Godfray 2012). This prediction is consistent with field experience from wMel releases around Cairns, Australia, where wMel did not spread outside areas where they were released even though Wolbachia were occasionally detected in other areas (Hoffmann et al. 2011, 2014b). Spread only occurs relatively slowly through a continuous residential area and is likely to be stopped by barriers to movement and high-density areas occupied by uninfected mosquitoes (Barton and Turelli 2011; Hancock and Godfray 2012; Hoffmann et al. 2014b). Spread is much easier to achieve when a large area with a high host density has been invaded and the surrounding area has a low density; an increase in host density outside the invaded zone can stop Wolbachia spread, particularly if the invasion point is high (Barton and Turelli 2011), as in the case of wMelPop (Yeap et al. 2011). Moreover, invasions might then fail to persist with a moderate influx of migrants into a population (Hancock et al. 2011).

Although the host fitness costs associated with Wolbachia infections could be used to suppress and even eradicate mosquito hosts in some isolated areas (Rašić et al. 2014a), they provide challenges for the infection spreading in large and continuously distributed mosquito populations. So far, attempts to spread the high cost wMelPop infection into relatively isolated natural populations in Vietnam and northern Australia have failed, despite high release rates and some success in getting the infection to a high frequency (T. H. Nguyen, unpublished data). The wMelPop infection did successfully invade semi-field population cages, but only when release rates were high and sustained for many weeks (Walker et al. 2011). Several strategies could assist in spreading infections with high deleterious effects, such as through the suppression of host populations across all life stages just prior to release (Hoffmann 2014), through the release of male-biased sex ratios (Hancock et al. 2011) or through the use of pesticide resistance genes and application of pesticides during the release process (Hoffmann and Turelli 2013). These strategies should assist in introducing such infections into relatively isolated populations, but the infection is unlikely to spread further outside these areas (Barton and Turelli 2011).

Community acceptance

Although the likely benefits and costs of Wolbachia-based strategies for disease suppression can be identified to some extent, the final strategy and strain adopted will also depend on community acceptance and regulatory approval. A challenge for Wolbachia releases aimed at invasion and replacement is that there will be a period of time when mosquito numbers are increased above background levels to ensure that the Wolbachia infection exceeds an invasion threshold. As long as there are no fitness costs associated with the infection, Wolbachia is expected to spread from a very low starting frequency (close to 0%) depending on stochastic factors, with a slow rate of spread initially (Jansen et al. 2008). This type of spread has been observed in natural infections of D. simulans where resident populations number in the millions (Kriesner et al. 2013). However, with a threshold frequency of around 20–30%, the wMel invasion into uninfected Ae. aegypti required releases across 10 weeks, at which time adult numbers increased by a factor of 1.5–2 (Hoffmann et al. 2011; Ritchie et al. 2013). The period of time and relative increase in mosquito numbers required will be greater if infections are costly, and/or if the release material has a relatively low fitness.

While a 1.5–2 fold increase in mosquito numbers might seem trivial, particularly when only one mosquito species is being targeted in release areas where several species are likely to co-occur, implementation of such a strategy can be challenging. In most countries where dengue is endemic and attributable to Ae. aegypti mosquitoes which breed around houses, communities are encouraged to decrease the availability of breeding sites, removing containers that might hold standing water, treating containers with chemicals, and perhaps fogging an entire area with pesticides. Such combined programmes can be effective in reducing mosquito densities (Erlanger et al. 2008), but often there is little impact on mosquito populations due to factors such as cryptic breeding sites that cannot be easily targeted (Heintze et al. 2007; Eisen et al. 2009). These strategies can also generate additional problems such as the evolution of pesticide resistance in hosts (Maciel-de-Freitas et al. 2014). Furthermore, there is often a poor correlation between measures of mosquito numbers and disease incidence (Bowman et al. 2014), making it difficult to justify such campaigns. Nevertheless, while education and engagement campaigns can help increase acceptance of Wolbachia releases (McNaughton and Huong 2014), communities may be reluctant to participate in Wolbachia release programmes and regulatory authorities may be reluctant to approve strategies where there is a deliberate increase in mosquito numbers over a period of time.

This issue becomes particularly important where the Wolbachia strains being introduced have high invasion thresholds and therefore require high release numbers across an extended period of time. For instance, wMelPop failed to invade isolated field populations despite releases across several months where frequencies exceeded 70% (T. H. Nguyen, unpublished data). Even when this infection invaded semi-field cages, it required more than 80 days before the infection reached fixation in one cage, despite a starting infection frequency of 65% (Walker et al. 2011). In contrast, infections such as wMel seem to invade quite readily, at least based on experience in Australia.

One of the advantages of Wolbachia releases is that they are not necessarily incompatible with other control programmes. For instance, during the 2011 release of wMel around Cairns, Australia, pesticides were applied by the health authorities to a residential block within the release site where a dengue case had been reported, and this did not inadvertently affect the local rate of increase of Wolbachia (Hoffmann et al. 2011). In this case, both the resident uninfected population of Ae. aegypti and the released mosquitoes did not contain appreciable levels of insecticide resistance. In contrast, in many communities where there has been widespread application of pyrethroids and other insecticides over some time, resistance levels in uninfected Ae. aegypti are expected to be high (Ranson et al. 2009). In such cases, insecticide application during the release could lead to a preferential removal of the infected released mosquitoes. However, it should be possible to minimize this issue by backcrossing infected release stock to the local genetic background of a target population with high insecticide resistance.

Finally, when there are community concerns about release numbers increasing above background levels, suppression of mosquitoes prior to starting releases could help to alleviate community concerns, as well as speeding up Wolbachia invasions by increasing the frequency of Wolbachia, and by producing vacant breeding sites for infected released females. In addition, it may be possible to release large numbers of nonbiting infected male mosquitoes to facilitate invasions when these males generate cytoplasmic incompatibility with uninfected mosquitoes (Hancock et al. 2011). Pesticide applications could also assist invasions if the release material carries a higher level of resistance than the resident population (Hoffmann and Turelli 2013). Although there is little risk that resistance alleles will spread to the uninfected resident populations as long as cytoplasmic incompatibility is complete and maternal transmission is high, this strategy is unlikely to be approved by regulators except in limited circumstances, for instance, where relevant genes are already present in a target population.

Conclusions

Selecting a suitable strain of Wolbachia for release is not a straightforward process, and involves a balance between minimizing fitness costs while maximizing cytoplasmic incompatibility and blockage of disease agents, as well as considering community and regulatory issues. It is not yet clear to what extent desirable strain qualities can be combined or whether there are trade-offs that limit the options available. It seems essential to create and test a number of Wolbachia infections for releases, despite the challenges associated with this exercise that require thousands of microinjections to achieve success (McMeniman et al. 2009; Bian et al. 2013b). Nevertheless, there are many natural Wolbachia strains available within Diptera for potential introduction into disease vectors. Once a suitable strain has been identified, it will be necessary to monitor the long-term stability of the desirable effects because there may be further evolutionary changes in the host, Wolbachia and pathogen genomes that could modify Wolbachia effects, even though current data suggest they are relatively stable.

Supporting Information

Additional Supporting Information may be found in the online version of this article:

Appendix S1. Stable Wolbachia infections produced through microinjection, their effects on host reproduction and fitness, and potential blocking effectiveness where demonstrated.

eva0008-0751-sd1.docx (325.9KB, docx)

Literature cited

  1. Ahantarig A, Trinachartvanit W. Kittayapong P. Relative Wolbachia density of field-collected Aedes albopictus mosquitoes in Thailand. Journal of Vector Ecology. 2008;33:173–177. doi: 10.3376/1081-1710(2008)33[173:rwdofa]2.0.co;2. [DOI] [PubMed] [Google Scholar]
  2. Ahmed MZ, Greyvenstein OFC, Erasmus C, Welch JJ. Greeff JM. Consistently high incidence of Wolbachia in global fig wasp communities. Ecological Entomology. 2013;38:147–154. [Google Scholar]
  3. de Almeida F, Moura AS, Cardoso AF, Winter CE, Bijovsky AT. Suesdek L. Effects of Wolbachia on fitness of Culex quinquefasciatus (Diptera; Culicidae) Infection, Genetics and Evolution. 2011;11:2138–2143. doi: 10.1016/j.meegid.2011.08.022. [DOI] [PubMed] [Google Scholar]
  4. Andrews ES, Crain PR, Fu Y, Howe DK. Dobson SL. Reactive oxygen species production and Brugia pahangi survivorship in Aedes polynesiensis with artificial Wolbachia infection types. PloS Pathogens. 2012;8:e1003075. doi: 10.1371/journal.ppat.1003075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Armbruster P, Damsky WE, Giordano R, Birungi J, Munstermann LE. Conn JE. Infection of new- and old-world Aedes albopictus (Diptera: Culicidae) by the intracellular parasite Wolbachia: implications for host mitochondrial DNA evolution. Journal of Medical Entomology. 2003;40:356–360. doi: 10.1603/0022-2585-40.3.356. [DOI] [PubMed] [Google Scholar]
  6. Arnqvist G, Dowling DK, Eady P, Gay L, Tregenza T, Tuda M. Hosken DJ. Genetic architecture of metabolic rate: environment specific epistasis between mitochondrial and nuclear genes in an insect. Evolution. 2010;64:3354–3363. doi: 10.1111/j.1558-5646.2010.01135.x. [DOI] [PubMed] [Google Scholar]
  7. Atyame CM, Delsuc F, Pasteur N, Weill M. Duron O. Diversification of Wolbachia endosymbiont in the Culex pipiens mosquito. Molecular Biology and Evolution. 2011;28:2761–2772. doi: 10.1093/molbev/msr083. [DOI] [PubMed] [Google Scholar]
  8. Baldo L, Hotopp JCD, Jolley KA, Bordenstein SR, Biber SA, Choudhury RR, Hayashi C, et al. Multilocus sequence typing system for the endosymbiont Wolbachia pipientis. Applied and Environmental Microbiology. 2006;72:7098–7110. doi: 10.1128/AEM.00731-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Ballard JWO, Melvin RG, Katewa SD. Maas K. Mitochondrial DNA variation is associated with measurable differences in life-history traits and mitochondrial metabolism in Drosophila simulans. Evolution. 2007;61:1735–1747. doi: 10.1111/j.1558-5646.2007.00133.x. [DOI] [PubMed] [Google Scholar]
  10. Barton NH. Turelli M. Spatial waves of advance with bistable dynamics: cytoplasmic and genetic analogues of Allee effects. The American Naturalist. 2011;178:E48–E75. doi: 10.1086/661246. [DOI] [PubMed] [Google Scholar]
  11. Bian GW, Xu Y, Lu P, Xie Y. Xi ZY. The endosymbiotic bacterium Wolbachia induces resistance to dengue virus in Aedes aegypti. PloS Pathogens. 2010;6:e1000833. doi: 10.1371/journal.ppat.1000833. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Bian GW, Zhou GL, Lu P. Xi ZY. Replacing a native Wolbachia with a novel strain results in an increase in endosymbiont load and resistance to dengue virus in a mosquito vector. PloS Neglected Tropical Diseases. 2013a;7:e2250. doi: 10.1371/journal.pntd.0002250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Bian GW, Joshi D, Dong YM, Lu P, Zhou GL, Pan XL, Xu Y, et al. Wolbachia invades Anopheles stephensi populations and induces refractoriness to Plasmodium infection. Science. 2013b;340:748–751. doi: 10.1126/science.1236192. [DOI] [PubMed] [Google Scholar]
  14. Bing XL, Xia WQ, Gui JD, Yan GH, Wang XW. Liu SS. Diversity and evolution of the Wolbachia endosymbionts of Bemisia (Hemiptera: Aleyrodidae) whiteflies. Ecology and Evolution. 2014;4:2714–2737. doi: 10.1002/ece3.1126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Binnington KC. Hoffmann AA. Wolbachia like organisms and cytoplasmic incompatability in Drosophila simulans. Journal of Invertebrate Pathology. 1989;54:344–352. [Google Scholar]
  16. Blagrove MSC, Arias-Goeta C, Failloux AB. Sinkins SP. Wolbachia strain wMel induces cytoplasmic incompatibility and blocks dengue transmission in Aedes albopictus. Proceedings of the National Academy of Sciences of the USA. 2012;109:255–260. doi: 10.1073/pnas.1112021108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Blagrove MSC, Arias-Goeta C, Di Genua C, Failloux AB. Sinkins SP. A Wolbachia wMel transinfection in Aedes albopictus is not detrimental to host fitness and inhibits Chikungunya virus. PloS Neglected Tropical Diseases. 2013;7:e2152. doi: 10.1371/journal.pntd.0002152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Bordenstein SR. Bordenstein SR. Temperature affects the tripartite interactions between bacteriophage WO, Wolbachia, and cytoplasmic incompatibility. PLoS ONE. 2011;6:e29106. doi: 10.1371/journal.pone.0029106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Bourtzis K, Dobson SL, Xi Z, Rasgon JL, Calvitti M, Moreira LA, Bossin HC, et al. Harnessing mosquito-Wolbachia symbiosis for vector and disease control. Acta Tropica. 2014;132:S150–S163. doi: 10.1016/j.actatropica.2013.11.004. [DOI] [PubMed] [Google Scholar]
  20. Bowman LR, Runge-Ranzinger S. McCall PJ. Assessing the relationship between vector indices and dengue transmission: a systematic review of the evidence. PloS Neglected Tropical Diseases. 2014;8:e2848. doi: 10.1371/journal.pntd.0002848. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Boyle L, O'Neill SL, Robertson HM. Karr TL. Interspecific and intraspecific horizontal transfer of Wolbachia in Drosophila. Science. 1993;260:1796–1799. doi: 10.1126/science.8511587. [DOI] [PubMed] [Google Scholar]
  22. Breeuwer JAJ. Werren JH. Cytoplasmic incompatibility and bacterial density in Nasonia vitripennis. Genetics. 1993;135:565–574. doi: 10.1093/genetics/135.2.565. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Bull JJ. Turelli M. Wolbachia versus dengue: evolutionary forecasts. Evolution, Medicine, and Public Health. 2013;1:197–207. doi: 10.1093/emph/eot018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Calvitti M, Moretti R, Porretta D, Bellini R. Urbanelli S. Effects on male fitness of removing Wolbachia infections from the mosquito Aedes albopictus. Medical and Veterinary Entomology. 2009;23:132–140. doi: 10.1111/j.1365-2915.2008.00791.x. [DOI] [PubMed] [Google Scholar]
  25. Calvitti M, Moretti R, Lampazzi E, Bellini R. Dobson SL. Characterization of a new Aedes albopictus (Diptera: Culicidae) Wolbachia pipientis (Rickettsiales: Rickettsiaceae) symbiotic association generated by artificial transfer of the wPip Strain from Culex pipiens (Diptera: Culicidae) Journal of Medical Entomology. 2010;47:179–187. doi: 10.1603/me09140. [DOI] [PubMed] [Google Scholar]
  26. Caragata EP, Rances E, Hedges LM, Gofton AW, Johnson KN, O'Neill SL. McGraw EA. Dietary cholesterol modulates pathogen blocking by Wolbachia. PloS Pathogens. 2013;9:e1003459. doi: 10.1371/journal.ppat.1003459. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Carrington LB, Leslie J, Weeks AR. Hoffmann AA. The popcorn Wolbachia infection of Drosophila melanogaster: can selection alter Wolbachia longevity effects? Evolution. 2009;63:2648–2657. doi: 10.1111/j.1558-5646.2009.00745.x. [DOI] [PubMed] [Google Scholar]
  28. 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. Proceedings of the Royal Society B-Biological Sciences. 2010;277:2059–2068. doi: 10.1098/rspb.2010.0166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Charlat S, Nirgianaki A, Bourtzis K. Mercot H. Evolution of Wolbachia-induced cytoplasmic incompatibility in Drosophila simulans and D. sechellia. Evolution. 2002;56:1735–1742. doi: 10.1111/j.0014-3820.2002.tb00187.x. [DOI] [PubMed] [Google Scholar]
  30. Chrostek E. Teixeira L. Mutualism breakdown by amplification of Wolbachia genes. PloS Biology. 2015;13:e1002065. doi: 10.1371/journal.pbio.1002065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Chrostek E, Marialva MSP, Esteves SS, Weinert LA, Martinez J, Jiggins FM. Teixeira L. Wolbachia variants induce differential protection to viruses in Drosophila melanogaster: a phenotypic and phylogenomic analysis. PloS Genetics. 2013;9:e1003896. doi: 10.1371/journal.pgen.1003896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Chrostek E, Marialva MSP, Yamada R, O'Neill SL. Teixeira L. High anti-viral protection without immune upregulation after interspecies Wolbachia transfer. PLoS ONE. 2014;9:e99025. doi: 10.1371/journal.pone.0099025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Clancy DJ. Hoffmann AA. Behavior of Wolbachia endosymbionts from Drosophila simulans in Drosophila serrata, a novel host. The American Naturalist. 1997;149:975–988. doi: 10.1086/286033. [DOI] [PubMed] [Google Scholar]
  34. Clancy DJ. Hoffmann AA. Environmental effects on cytoplasmic incompatibility and bacterial load in Wolbachia-infected Drosophila simulans. Entomologia Experimentalis Et Applicata. 1998;86:13–24. [Google Scholar]
  35. Correa CC. Ballard JWO. Wolbachia gonadal density in female and male Drosophila vary with laboratory adaptation and respond differently to physiological and environmental challenges. Journal of Invertebrate Pathology. 2012;111:197–204. doi: 10.1016/j.jip.2012.08.003. [DOI] [PubMed] [Google Scholar]
  36. Correa CC. Ballard JWO. What can symbiont titres tell us about co-evolution of Wolbachia and their host? Journal of Invertebrate Pathology. 2014;118:20–27. doi: 10.1016/j.jip.2014.02.009. [DOI] [PubMed] [Google Scholar]
  37. Dobson SL, Marsland EJ. Rattanadechakul W. Wolbachia-induced cytoplasmic incompatibility in single- and superinfected Aedes albopictus (Diptera: Culicidae) Journal of Medical Entomology. 2001;38:382–387. doi: 10.1603/0022-2585-38.3.382. [DOI] [PubMed] [Google Scholar]
  38. Dobson SL, Marsland EJ. Rattanadechakul W. Mutualistic Wolbachia infection in Aedes albopictus: accelerating cytoplasmic drive. Genetics. 2002;160:1087–1094. doi: 10.1093/genetics/160.3.1087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Dobson SL, Rattanadechakul W. Marsland EJ. Fitness advantage and cytoplasmic incompatibility in Wolbachia single- and superinfected Aedes albopictus. Heredity. 2004;93:135–142. doi: 10.1038/sj.hdy.6800458. [DOI] [PubMed] [Google Scholar]
  40. Dodson BL, Hughes GL, Paul O, Matacchiero AC, Kramer LD. Rasgon JL. Wolbachia enhances West Nile virus (WNV) infection in the mosquito Culex tarsalis. PloS Neglected Tropical Diseases. 2014;8:e2965. doi: 10.1371/journal.pntd.0002965. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Duron O, Bernard C, Unal S, Berthomieu A, Berticat C. Weill M. Tracking factors modulating cytoplasmic incompatibilities in the mosquito Culex pipiens. Molecular Ecology. 2006;15:3061–3071. doi: 10.1111/j.1365-294X.2006.02996.x. [DOI] [PubMed] [Google Scholar]
  42. Dyer KA. Jaenike J. Evolutionarily stable infection by a male-killing endosymbiont in Drosophila innubila: molecular evidence from the host and parasite genomes. Genetics. 2004;168:1443–1455. doi: 10.1534/genetics.104.027854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Echaubard P, Duron O, Agnew P, Sidobre C, Noel V, Weill M. Michalakis Y. Rapid evolution of Wolbachia density in insecticide resistant Culex pipiens. Heredity. 2010;104:15–19. doi: 10.1038/hdy.2009.100. [DOI] [PubMed] [Google Scholar]
  44. Eisen L, Beaty BJ, Morrison AC. Scott TW. Proactive vector control strategies and improved monitoring and evaluation practices for dengue prevention. Journal of Medical Entomology. 2009;46:1245–1255. doi: 10.1603/033.046.0601. [DOI] [PubMed] [Google Scholar]
  45. Endersby NM. Hoffmann AA. Effect of Wolbachia on insecticide susceptibility in lines of Aedes aegypti. Bulletin of Entomological Research. 2013;103:269–277. doi: 10.1017/S0007485312000673. [DOI] [PubMed] [Google Scholar]
  46. Erlanger TE, Keiser J. Utzinger J. Effect of dengue vector control interventions on entomological parameters in developing countries: a systematic review and meta-analysis. Medical and Veterinary Entomology. 2008;22:203–221. doi: 10.1111/j.1365-2915.2008.00740.x. [DOI] [PubMed] [Google Scholar]
  47. Ferguson NM, Kien DTH, Clapham H, Aguas R, Tuan Trung VT, Chau TNB, Popovici J, et al. Modeling the impact on virus transmission of Wolbachia-mediated blocking of dengue virus infection of Aedes aegypti. Science Translational Medicine. 2015;7:279ra37. doi: 10.1126/scitranslmed.3010370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Frentiu FD, Zakir T, Walker T, Popovici J, Van Pyke AT, den Hurk A, McGraw EA, et al. Limited dengue virus replication in field-collected Aedes aegypti mosquitoes infected with Wolbachia. PloS Neglected Tropical Diseases. 2014;8:e2688. doi: 10.1371/journal.pntd.0002688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Fry AJ. Rand DM. Wolbachia interactions that determine Drosophila melanogaster survival. Evolution. 2002;56:1976–1981. doi: 10.1111/j.0014-3820.2002.tb00123.x. [DOI] [PubMed] [Google Scholar]
  50. Fry AJ, Palmer MR. Rand DM. Variable fitness effects of Wolbachia infection in Drosophila melanogaster. Heredity. 2004;93:379–389. doi: 10.1038/sj.hdy.6800514. [DOI] [PubMed] [Google Scholar]
  51. Fu Y, Gavotte L, Mercer DR. Dobson SL. Artificial triple Wolbachia infection in Aedes albopictus yields a new pattern of unidirectional cytoplasmic incompatibility. Applied Environmental Microbiology. 2010;76:5887–5891. doi: 10.1128/AEM.00218-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. 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]
  53. Graham RI, Grzywacz D, Mushobozi WL. Wilson K. Wolbachia in a major African crop pest increases susceptibility to viral disease rather than protects. Ecology Letters. 2012;15:993–1000. doi: 10.1111/j.1461-0248.2012.01820.x. [DOI] [PubMed] [Google Scholar]
  54. Hancock PA. Godfray HCJ. Modelling the spread of Wolbachia in spatially heterogeneous environments. Journal of the Royal Society Interface. 2012;9:3045–3054. doi: 10.1098/rsif.2012.0253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Hancock PA, Sinkins SP. Godfray HCJ. Strategies for introducing Wolbachia to reduce transmission of mosquito-borne diseases. PloS Neglected Tropical Diseases. 2011;5:e1024. doi: 10.1371/journal.pntd.0001024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Harcombe W. Hoffmann AA. Wolbachia effects in Drosophila melanogaster: in search of fitness benefits. Journal of Invertebrate Pathology. 2004;87:45–50. doi: 10.1016/j.jip.2004.07.003. [DOI] [PubMed] [Google Scholar]
  57. Harrington LC, Scott TW, Lerdthusnee K, Coleman RC, Costero A, Clark GG, Jones JJ, et al. Dispersal of the dengue vector Aedes aegypti within and between rural communities. American Journal of Tropical Medicine and Hygiene. 2005;72:209–220. [PubMed] [Google Scholar]
  58. 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]
  59. Heintze C, Garrido MV. Kroeger A. What do community-based dengue control programmes achieve? A systematic review of published evaluations. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2007;101:317–325. doi: 10.1016/j.trstmh.2006.08.007. [DOI] [PubMed] [Google Scholar]
  60. Hertig M. Wolbach SB. Studies on rickettsia-like micro-organisms in insects. The Journal of Medical Research. 1924;44:329–378. [PMC free article] [PubMed] [Google Scholar]
  61. Hilgenboecker K, Hammerstein P, Schlattmann P, Telschow A. Werren JH. How many species are infected with Wolbachia? – a statistical analysis of current data. Fems Microbiology Letters. 2008;281:215–220. doi: 10.1111/j.1574-6968.2008.01110.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Hoffmann AA. Partial cytoplasmic incompatibility between two Australian populations of Drosophila melanogaster. Entomologia Experimentalis Et Applicata. 1988;48:61–67. [Google Scholar]
  63. Hoffmann AA. Facilitating Wolbachia invasions. Austral Entomology. 2014;53:125–132. [Google Scholar]
  64. Hoffmann AA, Turelli M. Cytoplasmic incompatibility in insects. In: O'Neill S, Hoffmann AA, Werren JH, editors. Influential Passengers: Microorganisms and Invertebrate Reproduction. Oxford: Oxford University Press; 1997. [Google Scholar]
  65. Hoffmann AA. Turelli M. Facilitating Wolbachia introductions into mosquito populations through insecticide-resistance selection. Proceedings of the Royal Society B-Biological Sciences. 2013;280:20130371. doi: 10.1098/rspb.2013.0371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Hoffmann AA, Turelli M. Simmons GM. Unidirectional incompatibility between populations of Drosophila simulans. Evolution. 1986;40:692–701. doi: 10.1111/j.1558-5646.1986.tb00531.x. [DOI] [PubMed] [Google Scholar]
  67. Hoffmann AA, Turelli M. Harshman LG. Factors affecting the distribution of cytoplasmic incompatibility in Drosophila simulans. Genetics. 1990;126:933–948. doi: 10.1093/genetics/126.4.933. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Hoffmann AA, Clancy DJ. Merton E. Cytoplasmic incompatibility in Australian populations of Drosophila melanogaster. Genetics. 1994;136:993–999. doi: 10.1093/genetics/136.3.993. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Hoffmann AA, Clancy DJ. Duncan J. Naturally-occurring Wolbachia infection in Drosophila simulans that does not cause cytoplasmic incompatibility. Heredity. 1996;76:1–8. doi: 10.1038/hdy.1996.1. [DOI] [PubMed] [Google Scholar]
  70. Hoffmann AA, Hercus M. Dagher H. Population dynamics of the Wolbachia infection causing cytoplasmic incompatibility in Drosophila melanogaster. Genetics. 1998;148:221–231. doi: 10.1093/genetics/148.1.221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Hoffmann AA, Montgomery BL, Popovici J, Iturbe-Ormaetxe I, Johnson PH, Muzzi F, Greenfield M, et al. Successful establishment of Wolbachia in Aedes populations to suppress dengue transmission. Nature. 2011;476:454–457. doi: 10.1038/nature10356. [DOI] [PubMed] [Google Scholar]
  72. Hoffmann AA, Iturbe-Ormaetxe I, Callahan AG, Phillips B, Billington K, Axford JK, Montgomery B, et al. Stability of the wMel Wolbachia infection following invasion into Aedes aegypti populations. PloS Neglected Tropical Diseases. 2014a;8:e3115. doi: 10.1371/journal.pntd.0003115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Hoffmann AA, Goundar A, Long SA, Johnson PH. Ritchie SA. Invasion of Wolbachia at the residential block level is associated with local abundance of Stegomyia aegypti populations and property attributes. Medical and Veterinary Entomology. 2014b;28(Suppl. 1):90–97. doi: 10.1111/mve.12077. [DOI] [PubMed] [Google Scholar]
  74. Holden PR, Jones P. Brookfield JFY. Evidence for a Wolbachia symbiont in Drosophila melanogaster. Genetical Research. 1993;62:23–29. doi: 10.1017/s0016672300031529. [DOI] [PubMed] [Google Scholar]
  75. Hornett EA, Charlat S, Duplouy AMR, Davies N, Roderick GK, Wedell N. Hurst GDD. Evolution of male-killer suppression in a natural population. PloS Biology. 2006;4:1643–1648. doi: 10.1371/journal.pbio.0040283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. van den Hurk AF, Hall-Mendelin S, Pyke AT, Frentiu FD, McElroy K, Day A, Higgs S, et al. Impact of Wolbachia on infection with chikungunya and yellow fever viruses in the mosquito vector Aedes aegypti. PloS Neglected Tropical Diseases. 2012;6:e1892. doi: 10.1371/journal.pntd.0001892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Hussain M, Lu G, Torres S, Edmonds JH, Kay BH, Khromykh AA. Asgari S. Effect of Wolbachia on replication of West Nile virus in a mosquito cell line and adult mosquitoes. Journal of Virology. 2013;87:851–858. doi: 10.1128/JVI.01837-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Ikeda T, Ishikawa H. Sasaki T. Regulation of Wolbachia density in the mediterranean flour moth, Ephestia kuehniella, and the almond moth, Cadra cautella. Zoological Science. 2003;20:153–157. doi: 10.2108/zsj.20.153. [DOI] [PubMed] [Google Scholar]
  79. Jansen VAA, Turelli M. Godfray HCJ. Stochastic spread of Wolbachia. Proceedings of the Royal Society B-Biological Sciences. 2008;275:2769–2776. doi: 10.1098/rspb.2008.0914. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Kambris Z, Cook PE, Phuc HK. Sinkins SP. Immune activation by life-shortening Wolbachia and reduced filarial competence in mosquitoes. Science. 2009;326:134–136. doi: 10.1126/science.1177531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Kang L, Ma X, Cai L, Liao S, Sun L, Zhu H, Chen X, et al. Superinfection of Laodelphax striatellus with Wolbachia from Drosophila simulans. Heredity. 2003;90:71–76. doi: 10.1038/sj.hdy.6800180. [DOI] [PubMed] [Google Scholar]
  82. Killeen GF, Barillas-Mury C, Thomas MB. Greenwood B. Modulating malaria with Wolbachia. Nature Medicine. 2013;19:974–975. doi: 10.1038/nm.3298. [DOI] [PubMed] [Google Scholar]
  83. Kittayapong P, Baisley KJ, Sharpe RG, Baimai V. O'Neill SL. Maternal transmission efficiency of Wolbachia superinfections in Aedes albopictus populations in Thailand. The American Journal of Tropical Medicine and Hygiene. 2002;66:103–107. doi: 10.4269/ajtmh.2002.66.103. [DOI] [PubMed] [Google Scholar]
  84. Klasson L, Westberg J, Sapountzis P, Nasiund K, Lutnaes Y, Darby AC, Veneti Z, et al. The mosaic genome structure of the Wolbachia wRi strain infecting Drosophila simulans. Proceedings of the National Academy of Sciences of the USA. 2009;106:5725–5730. doi: 10.1073/pnas.0810753106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Kriesner P, Hoffmann AA, Lee SF, Turelli M. Weeks AR. Rapid sequential spread of two Wolbachia variants in Drosophila simulans. PloS Pathogens. 2013;9:e1003607. doi: 10.1371/journal.ppat.1003607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Kurbalija Novičić Z, Immonen E, Jelić M, AnÐelković M, Stamenković-Radak M. Arnqvist G. Within-population genetic effects of mtDNA on metabolic rate in Drosophila subobscura. Journal of Evolutionary Biology. 2015;28:338–346. doi: 10.1111/jeb.12565. [DOI] [PubMed] [Google Scholar]
  87. Lambrechts L, Fansiri T, Pongsiri A, Thaisomboonsuk B, Klungthong C, Richardson JH, Ponlawat A, et al. Dengue-1 virus clade replacement in Thailand associated with enhanced mosquito transmission. Journal of Virology. 2012;86:1853–1861. doi: 10.1128/JVI.06458-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Lu P, Bian GW, Pan XL. Xi ZY. Wolbachia induces density-dependent inhibition to dengue virus in mosquito cells. PloS Neglected Tropical Diseases. 2012;6:e1754. doi: 10.1371/journal.pntd.0001754. [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Maciel-de-Freitas R, Koella JC. Lourenco-de-Oliveira R. Lower survival rate, longevity and fecundity of Aedes aegypti (Diptera: Culicidae) females orally challenged with dengue virus serotype 2. Transactions of the Royal Society of Tropical Medicine and Hygiene. 2011;105:452–458. doi: 10.1016/j.trstmh.2011.05.006. [DOI] [PubMed] [Google Scholar]
  90. Maciel-de-Freitas R, Avendanho FC, Santos R, Sylvestre G, Araujo SC, Lima JBP, Martins AJ, et al. Undesirable consequences of insecticide resistance following Aedes aegypti control activities due to a dengue outbreak. PLoS ONE. 2014;9:e92424. doi: 10.1371/journal.pone.0092424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Mains JW, Brelsfoard CL, Crain PR, Huang YX. Dobson SL. Population impacts of Wolbachia on Aedes albopictus. Ecological Applications. 2013;23:493–501. doi: 10.1890/12-1097.1. [DOI] [PubMed] [Google Scholar]
  92. Martinez J, Longdon B, Bauer S, Chan YS, Miller WJ, Bourtzis K, Teixeira L, et al. Symbionts commonly provide broad spectrum resistance to viruses in insects: a comparative analysis of Wolbachia strains. PloS Pathogens. 2014;10:e1004369. doi: 10.1371/journal.ppat.1004369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. McGraw EA. O'Neill SL. Beyond insecticides: new thinking on an ancient problem. Nature Reviews Microbiology. 2013;11:181–193. doi: 10.1038/nrmicro2968. [DOI] [PubMed] [Google Scholar]
  94. McGraw EA, Merritt DJ, Droller JN. O'Neill SL. Wolbachia-mediated sperm modification is dependent on the host genotype in Drosophila. Proceedings of the Royal Society B-Biological Sciences. 2001;268:2565–2570. doi: 10.1098/rspb.2001.1839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. McGraw EA, Merritt DJ, Droller JN. O'Neill SL. Wolbachia density and virulence attenuation after transfer into a novel host. Proceedings of the National Academy of Sciences of the USA. 2002;99:2918–2923. doi: 10.1073/pnas.052466499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  96. McMeniman CJ. O'Neill SL. A virulent Wolbachia infection decreases the viability of the dengue vector Aedes aegypti during periods of embryonic quiescence. PloS Neglected Tropical Diseases. 2010;4:e748. doi: 10.1371/journal.pntd.0000748. [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. McMeniman CJ, Lane RV, Cass BN, Fong AWC, Sidhu M, Wang YF. O'Neill SL. Stable introduction of a life-shortening Wolbachia infection into the mosquito Aedes aegypti. Science. 2009;323:141–144. doi: 10.1126/science.1165326. [DOI] [PubMed] [Google Scholar]
  98. McNaughton D. Huong DTT. Designing a community engagement framework for a new dengue control method: a case study from central Vietnam. PloS Neglected Tropical Diseases. 2014;8:e2794. doi: 10.1371/journal.pntd.0002794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Micieli MV. Glaser RL. Somatic Wolbachia (Rickettsiales: Rickettsiaceae) levels in Culex quinquefasciatus and Culex pipiens (Diptera: Culicidae) and resistance to West Nile virus infection. Journal of Medical Entomology. 2014;51:189–199. doi: 10.1603/me13152. [DOI] [PubMed] [Google Scholar]
  100. Miller WJ, Ehrman L. Schneider D. Infectious speciation revisited: impact of symbiont-depletion on female fitness and mating behavior of Drosophila paulistorum. PloS Pathogens. 2010;6:e1001214. doi: 10.1371/journal.ppat.1001214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Min KT. Benzer S. Wolbachia, normally a symbiont of Drosophila, can be virulent, causing degeneration and early death. Proceedings of the National Academy of Sciences of the USA. 1997;94:10792–10796. doi: 10.1073/pnas.94.20.10792. [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Montenegro H, Petherwick AS, Hurst GDD. Klaczko LB. Fitness effects of Wolbachia and Spiroplasma in Drosophila melanogaster. Genetica. 2006;127:207–215. doi: 10.1007/s10709-005-3766-4. [DOI] [PubMed] [Google Scholar]
  103. Moreira LA, Iturbe-Ormaetxe I, Jeffery JA, Lu GJ, Pyke AT, Hedges LM, Rocha BC, et al. A Wolbachia symbiont in Aedes aegypti limits infection with dengue, Chikungunya, and Plasmodium. Cell. 2009;139:1268–1278. doi: 10.1016/j.cell.2009.11.042. [DOI] [PubMed] [Google Scholar]
  104. Moretti R. Calvitti M. Male mating performance and cytoplasmic incompatibility in a wPip Wolbachia trans-infected line of Aedes albopictusStegomyia albopicta. Medical and Veterinary Entomology. 2013;27:377–386. doi: 10.1111/j.1365-2915.2012.01061.x. [DOI] [PubMed] [Google Scholar]
  105. Morningstar RJ, Hamer GL, Goldberg TL, Huang S, Andreadis TG. Walker ED. Diversity of Wolbachia pipientis strain wPip in a genetically admixtured, above-ground Culex pipiens (Diptera: Culicidae) population: association with form molestus ancestry and host selection patterns. Journal of Medical Entomology. 2012;49:474–481. doi: 10.1603/me11283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  106. Morrow JL, Frommer M, Shearman DCA. Riegler M. Tropical tephritid fruit fly community with high incidence of shared Wolbachia strains as platform for horizontal transmission of endosymbionts. Environmental Microbiology. 2014;16:3622–3637. doi: 10.1111/1462-2920.12382. [DOI] [PubMed] [Google Scholar]
  107. Mousson L, Martin E, Zouache K, Madec Y, Mavingui P. Failloux AB. Wolbachia modulates Chikungunya replication in Aedes albopictus. Molecular Ecology. 2010;19:1953–1964. doi: 10.1111/j.1365-294X.2010.04606.x. [DOI] [PubMed] [Google Scholar]
  108. Mousson L, Zouache K, Arias-Goeta C, Raquin V, Mavingui P. Failloux AB. The native Wolbachia symbionts limit transmission of dengue virus in Aedes albopictus. PloS Neglected Tropical Diseases. 2012;6:e1989. doi: 10.1371/journal.pntd.0001989. [DOI] [PMC free article] [PubMed] [Google Scholar]
  109. Mouton L, Henri H, Charif D, Bouletreau M. Vavre F. Interaction between host genotype and environmental conditions affects bacterial density in Wolbachia symbiosis. Biology Letters. 2007;3:210–213. doi: 10.1098/rsbl.2006.0590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  110. O'Connor L, Plichart C, Sang AC, Brelsfoard CL, Bossin HC. Dobson SL. Open release of male mosquitoes infected with a Wolbachia biopesticide: field performance and infection containment. PloS Neglected Tropical Diseases. 2012;6:e1797. doi: 10.1371/journal.pntd.0001797. [DOI] [PMC free article] [PubMed] [Google Scholar]
  111. Olanratmanee P, Kittayapong P, Chansang C, Hoffmann AA, Weeks AR. Endersby NM. Population genetic structure of Aedes (Stegomyia) aegypti (L.) at a micro-spatial scale in Thailand: implications for a dengue suppression strategy. PloS Neglected Tropical Diseases. 2013;7:e1913. doi: 10.1371/journal.pntd.0001913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Olsen K, Reynolds KT. Hoffmann AA. A field cage test of the effects of the endosymbiont Wolbachia on Drosophila melanogaster. Heredity. 2001;86:731–737. doi: 10.1046/j.1365-2540.2001.00892.x. [DOI] [PubMed] [Google Scholar]
  113. O'Neill S, Hoffmann AA. Werren JH. Influential Passengers: Inherited Microorganisms and Arthropod Reproduction. Oxford: Oxford University Press; 1997. [Google Scholar]
  114. Osborne SE, Leong YS, O'Neill SL. Johnson KN. Variation in antiviral protection mediated by different Wolbachia strains in Drosophila simulans. PloS Pathogens. 2009;5:e1000656. doi: 10.1371/journal.ppat.1000656. [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Osborne SE, Iturbe-Ormaetxe I, Brownlie JC, O'Neill SL. Johnson KN. Antiviral protection and the importance of Wolbachia density and tissue tropism in Drosophila simulans. Applied and Environmental Microbiology. 2012;78:6922–6929. doi: 10.1128/AEM.01727-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Poinsot D, Bourtzis K, Markakis G, Savakis C. Mercot H. Wolbachia transfer from Drosophila melanogaster into D. simulans: host effect and cytoplasmic incompatibility relationships. Genetics. 1998;150:227–237. doi: 10.1093/genetics/150.1.227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  117. Rances E, Ye YH, Woolfit M, McGraw EA. O'Neill SL. The relative importance of innate immune priming in Wolbachia-mediated dengue interference. PloS Pathogens. 2012;8:e1002548. doi: 10.1371/journal.ppat.1002548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Rances E, Johnson TK, Popovici J, Iturbe-Ormaetxe I, Zakir T, Warr CG. O'Neill SL. The toll and Imd pathways are not required for Wolbachia-mediated dengue virus interference. Journal of Virology. 2013;87:11945–11949. doi: 10.1128/JVI.01522-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  119. Ranson H, Burhani J, Lumjuan N. Black WCIV. Insecticide resistance in dengue vectors. TropiKa.net. 2009;1 [Google Scholar]
  120. Rasgon JL. Scott TW. Wolbachia and cytoplasmic incompatibility in the California Culex pipiens mosquito species complex: parameter estimates and infection dynamics in natural populations. Genetics. 2003;165:2029–2038. doi: 10.1093/genetics/165.4.2029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. Rašić G, Endersby NM, Williams C. Hoffmann AA. Using Wolbachia-based releases for suppression of Aedes mosquitoes: insights from genetic data and population simulations. Ecological Applications. 2014a;24:1226–1234. doi: 10.1890/13-1305.1. [DOI] [PubMed] [Google Scholar]
  122. Rašić G, Filipovic I, Weeks AR. Hoffmann AryA. Genome-wide SNPs lead to strong signals of geographic structure and relatedness patterns in the major arbovirus vector, Aedes aegypti. Bmc Genomics. 2014b;15:275. doi: 10.1186/1471-2164-15-275. [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Reynolds KT. Hoffmann AA. Male age, host effects and the weak expression or nonexpression of cytoplasmic incompatibility in Drosophila strains infected by maternally transmitted Wolbachia. Genetical Research. 2002;80:79–87. doi: 10.1017/s0016672302005827. [DOI] [PubMed] [Google Scholar]
  124. Reynolds KT, Thomson LJ. Hoffmann AA. The effects of host age, host nuclear background and temperature on phenotypic effects of the virulent Wolbachia strain popcorn in Drosophila melanogaster. Genetics. 2003;164:1027–1034. doi: 10.1093/genetics/164.3.1027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  125. Richardson MF, Weinert LA, Welch JJ, Linheiro RS, Magwire MM, Jiggins FM. Bergman CM. Population genomics of the Wolbachia endosymbiont in Drosophila melanogaster. PloS Genetics. 2012;8:e1003129. doi: 10.1371/journal.pgen.1003129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Ritchie SA, Montgomery BL. Hoffmann AA. Novel estimates of Aedes aegypti (Diptera: Culicidae) population size and adult survival based on Wolbachia releases. Journal of Medical Entomology. 2013;50:624–631. doi: 10.1603/me12201. [DOI] [PubMed] [Google Scholar]
  127. Ross PA, Endersby NM, Yeap HL. Hoffmann AA. Larval competition extends developmental time and decreases adult size of wMelPop Wolbachia-infected Aedes aegypti. American Journal of Tropical Medicine and Hygiene. 2014;91:198–205. doi: 10.4269/ajtmh.13-0576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Ruang-Areerate T. Kittayapong P. Wolbachia transinfection in Aedes aegypti: a potential gene driver of dengue vectors. Proceedings of the National Academy of Sciences of the USA. 2006;103:12534–12539. doi: 10.1073/pnas.0508879103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  129. Sasaki T. Ishikawa H. Wolbachia infections and cytoplasmic incompatibility in the almond moth and the mediterranean flour moth. Zoological Science. 1999;16:739–744. [Google Scholar]
  130. Sasaki T, Kubo T. Ishikawa H. Interspecific transfer of Wolbachia between two lepidopteran insects expressing cytoplasmic incompatibility: a Wolbachia variant naturally infecting Cadra cautella causes male killing in Ephestia kuehniella. Genetics. 2002;162:1313–1319. doi: 10.1093/genetics/162.3.1313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Segoli M, Hoffmann AA, Lloyd J, Omodei GJ. Ritchie SA. The effect of virus-blocking Wolbachia on male competitiveness of the dengue vector mosquito, Aedes aegypti. PloS Neglected Tropical Diseases. 2014;8:e3294. doi: 10.1371/journal.pntd.0003294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  132. Serga S, Maistrenko O, Rozhok A, Mousseau T. Kozeretska I. Fecundity as one of possible factors contributing to the dominance of the wMel genotype of Wolbachia in natural populations of Drosophila melanogaster. Symbiosis. 2014;63:11–17. [Google Scholar]
  133. Sinkins SP. Wolbachia and arbovirus inhibition in mosquitoes. Future Microbiology. 2013;8:1249–1256. doi: 10.2217/fmb.13.95. [DOI] [PubMed] [Google Scholar]
  134. Sinkins SP, Braig HR. O'Neill SL. Wolbachia superinfections and the expression of cytoplasmic incompatibility. Proceedings of the Royal Society B-Biological Sciences. 1995;261:325–330. doi: 10.1098/rspb.1995.0154. [DOI] [PubMed] [Google Scholar]
  135. Solignac M, Vautrin D. Rousset F. Widespread occurrence of the proteobacteria Wolbachia and partial cytoplasmic incompatibility in Drosophila melanogaster. Comptes rendus de l'Académie des sciences. Série III, Sciences de la vie. 1994;317:461–470. [Google Scholar]
  136. Suh E, Mercer DR, Fu Y. Dobson SL. Pathogenicity of life-shortening Wolbachia in Aedes albopictus after transfer from Drosophila melanogaster. Applied Environmental Microbiology. 2009;75:7783–7788. doi: 10.1128/AEM.01331-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  137. Symula RE, Alam U, Brelsfoard C, Wu YN, Echodu R, Okedi LM, Aksoy S, et al. Wolbachia association with the tsetse fly, Glossina fuscipes fuscipes, reveals high levels of genetic diversity and complex evolutionary dynamics. Bmc Evolutionary Biology. 2013;13:12. doi: 10.1186/1471-2148-13-31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  138. Teixeira L, Ferreira A. Ashburner M. The bacterial symbiont Wolbachia induces resistance to RNA viral infections in Drosophila melanogaster. PloS Biology. 2008;6:2753–2763. doi: 10.1371/journal.pbio.1000002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  139. Tortosa P, Charlat S, Labbe P, Dehecq J-S, Barre H. Weill M. Wolbachia age-sex-specific density in Aedes albopictus: a host evolutionary response to cytoplasmic incompatibility? PLoS ONE. 2010;5:e9700. doi: 10.1371/journal.pone.0009700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  140. Turelli M. Cytoplasmic incompatability in populations with overlapping generations. Evolution. 2010;64:232–241. doi: 10.1111/j.1558-5646.2009.00822.x. [DOI] [PubMed] [Google Scholar]
  141. Turelli M. Hoffmann AA. Cytoplasmic incompatibility in Drosophila simulans – dynamics and parameter estimates from natural populations. Genetics. 1995;140:1319–1338. doi: 10.1093/genetics/140.4.1319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  142. Turley AP, Moreira LA, O'Neill SL. McGraw EA. Wolbachia infection reduces blood-feeding success in the dengue fever mosquito, Aedes aegypti. PloS Neglected Tropical Diseases. 2009;3:e516. doi: 10.1371/journal.pntd.0000516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  143. Unckless RL. Jaenike J. Maintenance of a male-killing Wolbachia in Drosophila innubila by male-killing dependent and male-killing independent mechanisms. Evolution. 2011;66:678–689. doi: 10.1111/j.1558-5646.2011.01485.x. [DOI] [PubMed] [Google Scholar]
  144. Unckless RL, Boelio LM, Herren JK. Jaenike J. Wolbachia as populations within individual insects: causes and consequences of density variation in natural populations. Proceedings of the Royal Society B-Biological Sciences. 2009;276:2805–2811. doi: 10.1098/rspb.2009.0287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  145. Veneti Z, Zabalou S, Papafotiou G, Paraskevopoulos C, Pattas S, Livadaras I, Markakis G, et al. Loss of reproductive parasitism following transfer of male-killing Wolbachia to Drosophila melanogaster and Drosophila simulans. Heredity. 2012;109:306–312. doi: 10.1038/hdy.2012.43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  146. Vu TTH, Holmes EC, Veasna D, Nguyen TQ, Tran TH, Quail M, Churcher C, et al. Emergence of the Asian 1 genotype of dengue virus serotype 2 in Viet Nam: in vivo fitness advantage and lineage replacement in South-East Asia. PloS Neglected Tropical Diseases. 2010;4:e757. doi: 10.1371/journal.pntd.0000757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  147. Walker T, Johnson PH, Moreira LA, Iturbe-Ormaetxe I, Frentiu FD, McMeniman CJ, Leong YS, et al. The wMel Wolbachia strain blocks dengue and invades caged Aedes aegypti populations. Nature. 2011;476:450–453. doi: 10.1038/nature10355. [DOI] [PubMed] [Google Scholar]
  148. Weeks AR, Turelli M, Harcombe WR, Reynolds KT. Hoffmann AA. From parasite to mutualist: rapid evolution of Wolbachia in natural populations of Drosophila. PloS Biology. 2007;5:997–1005. doi: 10.1371/journal.pbio.0050114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  149. Wong ZS, Hedges LM, Brownlie JC. Johnson KN. Wolbachia-mediated antibacterial protection and immune gene regulation in Drosophila. PLoS ONE. 2011;6:e25430. doi: 10.1371/journal.pone.0025430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  150. Woolfit M, Iturbe-Ormaetxe I, Brownlie JC, Walker T, Riegler M, Seleznev A, Popovici J, et al. Genomic evolution of the pathogenic Wolbachia Strain, wMelPop. Genome Biology and Evolution. 2013;5:2189–2204. doi: 10.1093/gbe/evt169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  151. Xi ZY, Khoo CCH. Dobson SL. Wolbachia establishment and invasion in an Aedes aegypti laboratory population. Science. 2005;310:326–328. doi: 10.1126/science.1117607. [DOI] [PubMed] [Google Scholar]
  152. Xi ZY, Khoo CCH. Dobson SL. Interspecific transfer of Wolbachia into the mosquito disease vector Aedes albopictus. Proceedings of the Royal Society B-Biological Sciences. 2006;273:1317–1322. doi: 10.1098/rspb.2005.3405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  153. Yamada R, Iturbe-Ormaetxe I, Brownlie JC. O'Neill SL. Functional test of the influence of Wolbachia genes on cytoplasmic incompatibility expression in Drosophila melanogaster. Insect Molecular Biology. 2011;20:75–85. doi: 10.1111/j.1365-2583.2010.01042.x. [DOI] [PubMed] [Google Scholar]
  154. Ye YXH, Woolfit M, Rances E, O'Neill SL. McGraw EA. Wolbachia-associated bacterial protection in the mosquito Aedes aegypti. PloS Neglected Tropical Diseases. 2013;7:e2362. doi: 10.1371/journal.pntd.0002362. [DOI] [PMC free article] [PubMed] [Google Scholar]
  155. Yeap HL, Mee P, Walker T, Weeks AR, O'Neill SL, Johnson P, Ritchie SA, et al. Dynamics of the “popcorn” Wolbachia infection in outbred Aedes aegypti informs prospects for mosquito vector control. Genetics. 2011;187:583–595. doi: 10.1534/genetics.110.122390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  156. Yeap HL, Axford JK, Popovici J, Endersby NM, Iturbe-Ormaetxe I, Ritchie SA. Hoffmann AA. Assessing quality of life-shortening Wolbachia-infected Aedes aegypti mosquitoes in the field based on capture rates and morphometric assessments. Parasites & Vectors. 2014;7:13. doi: 10.1186/1756-3305-7-58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  157. Yen JH. Barr AR. The etiological agent of cytoplasmic incompatibility in Culex pipiens. Journal of Invertebrate Pathology. 1973;22:242–250. doi: 10.1016/0022-2011(73)90141-9. [DOI] [PubMed] [Google Scholar]
  158. Zabalou S, Charlat S, Nirgianaki A, Lachaise D, Mercot H. Bourtzis K. Natural Wolbachia infections in the Drosophila yakuba species complex do not induce cytoplasmic incompatibility but fully rescue the wRi modification. Genetics. 2004;167:827–834. doi: 10.1534/genetics.103.015990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  159. Zélé F, Nicot A, Berthomieu A, Weill M, Duron O. Rivero A. Wolbachia increases susceptibility to Plasmodium infection in a natural system. Proceedings of the Royal Society B-Biological Sciences. 2014;281:20132837. doi: 10.1098/rspb.2013.2837. [DOI] [PMC free article] [PubMed] [Google Scholar]
  160. Zhang GM, Hussain M, O'Neill SL. Asgari S. Wolbachia uses a host microRNA to regulate transcripts of a methyltransferase, contributing to dengue virus inhibition in Aedes aegypti. Proceedings of the National Academy of Sciences of the USA. 2013;110:10276–10281. doi: 10.1073/pnas.1303603110. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Appendix S1. Stable Wolbachia infections produced through microinjection, their effects on host reproduction and fitness, and potential blocking effectiveness where demonstrated.

eva0008-0751-sd1.docx (325.9KB, docx)

Articles from Evolutionary Applications are provided here courtesy of Wiley

RESOURCES