The bacterial endosymbiont Wolbachia pipientis protects its hosts from a range of pathogens by limiting their ability to form infections inside the insect. This “pathogen blocking” could be explained by innate immune priming by the symbiont, competition for host-derived resources between pathogens and Wolbachia, or the direct modification of the cell or cellular environment by Wolbachia. Recent comparative work in Drosophila and the mosquito Aedes aegypti has shown that an immune response is not required for pathogen blocking, implying that there must be an additional component to the mechanism. Here we have examined the involvement of cholesterol in pathogen blocking using a system of dietary manipulation in Drosophila melanogaster in combination with challenge by Drosophila C virus (DCV), a common fly pathogen. We observed that flies reared on cholesterol-enriched diets infected with the Wolbachia strains wMelPop and wMelCS exhibited reduced pathogen blocking, with viral-induced mortality occurring 2–5 days earlier than flies reared on Standard diet. This shift toward greater virulence in the presence of cholesterol also corresponded to higher viral copy numbers in the host. Interestingly, an increase in dietary cholesterol did not have an effect on Wolbachia density except in one case, but this did not directly affect the strength of pathogen blocking. Our results indicate that host cholesterol levels are involved with the ability of Wolbachia-infected flies to resist DCV infections, suggesting that cholesterol contributes to the underlying mechanism of pathogen blocking.
Wolbachia pipientis is an intracellular bacterium that naturally infects many insect species. These bacteria can block the replication and dissemination of a variety of pathogens that coinfect the insect. In mosquitoes this effect applies to viruses including dengue and the parasite that causes malaria. This makes Wolbachia a promising method of controlling a number of insect-transmitted diseases of humans. Some studies suggest that pathogen blocking is due to Wolbachia stimulating the host innate immune system, however in the fly Drosophila melanogaster, blocking occurs in the absence of such an immune effect. This suggests that there is an additional component to the mechanism. Host nutrients such as cholesterol are a limiting factor in virus replication and may serve as a source of competition that underlies pathogen blocking. Here we show that competition over cholesterol contributes to the pathogen blocking effect, with higher available cholesterol levels causing less effective blocking, and increased viral titres in Wolbachia-infected D. melanogaster challenged with the pathogenic Drosophila C virus. These results suggest that competition over cholesterol is an important part of the pathogen blocking mechanism.
Citation: Caragata EP, Rancès E, Hedges LM, Gofton AW, Johnson KN, O'Neill SL, et al. (2013) Dietary Cholesterol Modulates Pathogen Blocking by Wolbachia. PLoS Pathog 9(6): e1003459. doi:10.1371/journal.ppat.1003459
Editor: Kenneth D. Vernick, Institut Pasteur, France
Received: October 10, 2012; Accepted: May 13, 2013; Published: June 27, 2013
Copyright: © 2013 Caragata et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by a grant to SLO from the Foundation for the National Institute of Health through the Grand Challenges in Global Health Initiative of the Bill and Melinda Gates Foundation, and an ARC Discovery Project grant to KNJ and SLO DP1092492. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Wolbachia are maternally inherited bacterial endosymbionts that naturally infect an estimated 40% of all arthropod species . They are primarily known for their manipulation of host reproductive biology, particularly through the phenotype of cytoplasmic incompatibility (CI), which facilitates the spread of the symbiont through wild populations . Some Wolbachia strains manipulate their hosts in other interesting and useful ways, such as through the phenotype known as pathogen blocking, which limits the ability of many pathogenic viruses, bacteria and nematodes to grow in the host ,,,,,,. The phenotype has been well characterised in Drosophila fruit flies where it was originally discovered. Blocking occurs against many species of naturally pathogenic viruses including Drosophila C virus and Flock House virus ,,,. The effect typically involves a delay in virus-induced mortality for Wolbachia-infected flies, with the strength of the effect varying by strain and pathogen type ,. For some strains this is also accompanied by a delay in virus accumulation, although this is not required to delay mortality . Stronger blocking occurs in strains that grow to high density, with lower density strains having little effect . Together these factors imply that Wolbachia can cause interference with pathogen replication.
Pathogen blocking has also been well studied in mosquitoes because of their role as disease vectors. Here the effect differs from Drosophila in that many key vector species are naturally uninfected by Wolbachia, and the strength of the blocking effect is measured in terms of its impact on viral replication and transmission rather than host survival. Several naturally uninfected species, including the dengue vector Aedes aegypti, have been transinfected with Wolbachia strains from other organisms, including wMelPop and wMel, both originally from D. melanogaster ,. These strains produce a strong blocking effect and inhibit the replication of dengue virus (DENV), Chikungunya virus, the filarial worm Brugia malayi and the model malaria parasite Plasmodium gallinaceum ,,,. A strong level of pathogen blocking also leads to a greatly decreased presence of DENV in mosquito saliva ,,, which provides a means to reduce disease transmission to humans. Wolbachia strains that induce CI and pathogen blocking can be used to invade and replace uninfected mosquito populations . The success of this strategy hinges on a strong blocking phenotype persisting in the field; consequently it is critical to determine how Wolbachia cause pathogen blocking.
Since its discovery, several hypotheses have emerged to explain the mechanistic basis of pathogen blocking. The first posits that the presence of the symbiont activates the insect's innate immune response, priming the host for its subsequent interaction with the vectored pathogens, ,,,. The second suggests that Wolbachia may outcompete pathogens for critical nutritional resources, especially given that it has a much-reduced genome and is highly dependent on the host for metabolic support ,. Given the wide range of pathogens affected by Wolbachia it is quite possible that a mixture of these mechanisms is acting.
The notion of “immune priming” was initially supported by heightened expression of innate immunity genes in transcriptional profiles of A. aegypti infected with wMelPop-CLA ,. However the wMelPop infection is not representative of most Wolbachia, over replicating to high densities and causing tissue damage in its native D. melanogaster . Transcriptional activation of innate immunity genes could have resulted as an effect of this pathogenicity. Furthermore, as theory predicts that pathogens often have more severe effects in novel hosts , the infection was likely to be more virulent in the mosquito than in the fly . A subsequent set of studies was then performed that compared the immune response of both the fly and the mosquito to infection with the benign (wMel) and virulent (wMelPop) strains. The findings indicated that pathogen blocking against DENV was present in both mosquitoes and flies, but that Drosophila did not exhibit a clear and consistent immune response to Wolbachia, similar to what is seen in other infected species , ,. This suggests that the reported immune activation associated with Wolbachia infection in mosquitoes is not necessary for pathogen blocking, and while it could enhance the trait it cannot be the only mechanism operating.
An obvious alternative mechanism for pathogen blocking is competition for key cellular molecules such as cholesterol, which is critical to the biology of host, symbiont and infecting viruses. Cholesterol in insects is vital to membrane stability and cellular signalling ,, and serves as the precursor to steroid hormones involved in oogenesis . Wolbachia replication is cholesterol-dependent, requiring cholesterol-rich host membranes to form the vacuole surrounding each bacterium , and their survival may also be linked to host cholesterol usage . Both insect and Wolbachia lack the biosynthetic pathways to produce cholesterol and as such both depend on and compete for dietary cholesterol. Many viruses are also dependent on host cholesterol for their replication and cellular entry ,, to the extent that the immune response to some viral infections includes down regulation of sterols . Consequently, manipulation of host cholesterol by Wolbachia could influence the ability of infecting viruses to propagate, thus producing a blocking effect.
To test whether competition for cholesterol affected Wolbachia-based pathogen blocking, we worked with Drosophila melanogaster, where blocking was first discovered ,, and where methods for dietary manipulation of cholesterol are well established . Using supplementation studies paired with viral infectivity assays for Drosophila C Virus (DCV), we demonstrate that viral success as measured by increased titre and faster death in flies is conferred by increased access to cholesterol in the presence of two different Wolbachia strains tested. This provides the first evidence supporting a molecular competition hypothesis for Wolbachia-mediated pathogen blocking.
Viral survival assays
Upon challenge with DCV, a pathogen blocking effect was observed for all three Wolbachia strains, with wMelPop providing the greatest level of protection, wMelCS yielding intermediate protection, and wMel the weakest. For wMelPop-infected flies the addition of cholesterol to dietary media reduced the protective effect of Wolbachia in a dose dependent manner, with increasing cholesterol concentrations in the media leading to quicker DCV-induced mortality (Cox regression – Exp1: X2 = 14.62, df = 2, P<0.0001 (Fig. 1A); Exp2: X2 = 11.13, df = 2, P<0.01; Exp3: X2 = 21.61, df = 2, P<0.0001). The average survival of flies reared on the cholesterol-enriched Intermediate and High diets was approximately four and five days less, respectively, than those reared on Standard food (Table 1). On average across experiments, rearing on the Intermediate and High cholesterol diets proved a hazard that increased the likelihood of death by 2.08 and 2.80 times respectively.
Survival curves for wMelPop- (A), wMelCS- (B), and wMel-infected flies (C) reared on cholesterol-enriched diets then challenged with DCV by injection into the haemocoel. Each curve represents one of three experiments for that strain. There was a clear effect of diet on survival, where Wolbachia-infected flies (dashed lines with rhomboid markers) reared on the Intermediate (red lines) and High (blue lines) cholesterol-enriched diets had a shorter average survival time than those reared on Standard food (black lines). Each line depicts the mean survival over time (± s.e.m.) for the three vials from each fly line x diet combination. Data were compared statistically using Cox Regression. A delay in virus-induced mortality was observed in Wolbachia-infected flies compared with uninfected (solid lines with square markers). This pathogen blocking effect occurred for all strains with the weakest blocking occurring for the wMel infection. PBS-injected flies (dotted lines) experienced a high rate of survival with (circles) and without (triangles) Wolbachia, indicating that the death observed in DCV-infected flies was not due to trauma or buffer contamination. Mean levels (± s.e.m.) of total cholesterol and cholesteryl esters for wMelPop- (D), wMelCS- (E), and wMel-infected flies (F) reared on Standard (black bars), Intermediate (red) and High (blue) cholesterol diets. Cholesterol quantification was performed on flies from the same bottles used in the survival assays. Data were compared statistically using univariate ANOVA followed by student's t-tests. Flies reared on high cholesterol diets typically had higher cholesterol levels, and this was generally associated with lower mean survival after challenge with DCV.
Reduced pathogen blocking was also observed for wMelCS-infected flies reared on cholesterol-enriched food in two out of three experiments (Cox regression – Exp1: X2 = 14.76, df = 1, P<0.0001; Exp2: X2 = 6.95, df = 2, P<0.05 (Fig. 1B); Exp3: X2 = 5.64, df = 2, P>0.05). The average hazard increase across the three experiments was 1.47-fold for the Intermediate diet and 2.12-fold for the High diet. For wMel-infected flies, cholesterol did not significantly affect survival (Cox Regression – Exp1: X2 = 4.33, df = 2, P>0.05; Exp2: X2 = 5.40, df = 2, P>0.05 (Fig. 1C); Exp3: X2 = 0.06, df = 2, P>0.05), however in experiments two and three experiments mean survival was lower for flies from at least one of the cholesterol-enriched diets compared to those from the standard diet (Table 1). Dietary cholesterol level did not significantly affect Wolbachia-uninfected flies in any experiment (Figure 1). Survival curves for the experiments not depicted in Figure 1 are provided as supplementary materials (Fig. S1).
Mortality in PBS-injected lines was generally low with an average death rate of less than 5% across all injection experiments, suggesting that there was no pathogenic contamination as a result of injection (Fig. 1, Fig, S1). Flies that had their wMelPop infection cured by treatment with tetracycline died within seven days after infection with DCV, confirming that the pathogen blocking effect occurred due to the presence of Wolbachia (Fig. S2).
Fly cholesterol levels
Cholesterol levels for flies taken from the same bottles used in each survival experiment were quantified using the Amplex Red Cholesterol Testing Kit (Invitrogen). Through statistical analysis by ANOVA, dietary cholesterol level was identified as a significant factor affecting fly cholesterol levels in all experiments (Table S1). In general, fly cholesterol levels were strongly correlated to dietary cholesterol intake (Fig. 1D–F, Fig. S2, Table S1). Fly cholesterol levels showed a strong inverse correlation to mean survival time with higher cholesterol strongly associated with increased time to death (Table 1). In four experiments (wMelPop Exp2, wMelCS Exp2, wMel Exp1 and Exp2) there was no difference in cholesterol level observed between Intermediate and High diet flies, and there was also no difference in survival observed between these treatments. This suggests that even though there can be variability in cholesterol uptake between experimental replicates, the relationship between host cholesterol levels and the protective effect of pathogen blocking is strong.
To determine whether increased dietary cholesterol affected the rate of viral accumulation, total DCV genome copies in pools of five wMelPop- and wMelCS-infected flies at five days post-infection were measured relative to the expression of the control gene Cyclin K. For both Wolbachia strains increased dietary cholesterol led to significantly increased viral load suggesting the presence of excess cholesterol facilitates viral propagation (Fig. 2). For wMelPop-infected flies DCV titre was significantly higher for the Intermediate and High cholesterol diets than for the control (Mann Whitney U-tests – Int: U = 8.00, P<0.05; High: U = 4.00, P<0.01). No difference in titre was observed between the two cholesterol-enriched diets (MWU – U = 31.00, P>0.05). Median DCV:CycK ratio was 13.60 for the control diet, 84.38 for the Intermediate diet, and 57.22 for the High diet. DCV titre in wMelCS-infected flies was higher for Intermediate and High cholesterol diets (MWU – Int: U = 34.00, P<0.01, High: U = 3.00, P<0.001) and higher in the High cholesterol diet than in the Intermediate (MWU – U = 51.00, P<0.05). Median DCV:CycK ratio was 0.000218 for the Standard diet, 0.0145 for the Intermediate diet, and 1.590 for the High diet. Differences in accumulation between the strains reflect the use of different viral aliquots.
Mean normalised DCV:CycK expression ratios (median ± interquartile range) for wMelPop- (A) and wMelCS-infected flies (B), five days-post DCV infection. Total DCV copies were quantified using qPCR and normalised against CycK expression levels. Data were compared statistically using Mann-Whitney U-tests. Both strains had higher DCV levels after rearing on the Intermediate (Int) and High (High) cholesterol-enriched diets than for Standard diet (Ctrl), this suggests that it is likely that rearing on high cholesterol diets increases the rate of viral accumulation.
Wolbachia density was quantified for both wMelPop- and wMelCS-infected flies using qPCR (Fig. 3). There was no effect of diet on Wolbachia levels for wMelCS-infected flies (ANOVA: F = 0.76, df = 2, MSS = 1.57, P = 0.47). For wMelPop-infected flies there was a significant effect of diet on Wolbachia density (ANOVA: F = 6.24, df = 2, MSS = 20.42, P = 0.0036). Here the density was significantly lower for flies from the High diet than either the Intermediate or Standard diets (Student's t tests – Standard-High: t = 2.59, df = 36, P<0.05; Int-High: t = 3.37, df = 37, P<0.01). Interestingly, when flies from these same High and Intermediate bottles were challenged with DCV, no difference in survival was observed between the two diets (Kaplan Meier Log Rank Test: X2 = 0.035, df = 1, P>0.05), indicating that this change in density did not affect pathogen blocking.
Mean (± s.e.m.) normalized wsp:rps17 expression ratios for wMelPop- (A) and wMelCS-infected flies (B) during the age window that survival assays were performed. Flies were collected simultaneously with survival experiment two for wMelPop and survival experiment one for wMelCS. Total Wolbachia levels were quantified using qPCR. Data were compared statistically using ANOVA and student's t-tests corrected for multiple comparisons. For wMelPop-infected flies, Wolbachia levels were significantly lower after rearing on the High cholesterol diet, than on the Intermediate (Student's t test: t = 3.370, df = 37, P<0.01) or Standard diets (Student's t test: t = 2.586, df = 36, P<0.05). Interestingly, this difference in density did not have a corresponding difference in survival was between flies from the two cholesterol-enriched diets. There was no effect of diet on Wolbachia levels in wMelCS-infected flies.
Cholesterol modulates pathogen blocking by Wolbachia
The ability of the Wolbachia strains wMelPop and wMelCS to protect their host against virus appears to be dependent on the total level of host cholesterol. In Drosophila these Wolbachia strains typically protect their host against virus-induced mortality, resulting in increased survival time and delayed virus accumulation ,,. This protective effect was greatly reduced for flies with high levels of cholesterol, resulting in a significantly decreased survival after challenge with DCV, although survival was never compromised to the point where the protective effect was completely eliminated. Strain-specific differences in pathogen blocking strength have been previously observed and it appears there is also a strain specific difference in the effect of dietary cholesterol. In our experiments the decrease in survival time due to excess host cholesterol ranged between two and five days, with a greater survival cost observed for the wMelPop infection than with the wMelCS.
The wMel strain provided reduced pathogen blocking compared to the other two strains, and consequently there was no significant effect of increased dietary cholesterol on survival time. However, in two of the three experiments involving this strain, flies from at least one of the cholesterol-enriched treatments showed increased mortality rates compared to the control, which suggests that an effect of cholesterol may have been present but was constrained by the fact that there was little increase in survival time due to Wolbachia. In one assay the average survival of wMel-infected flies was only one day longer than uninfected flies. Stronger pathogen blocking is linked to higher Wolbachia densities , and it is curious to note that of the three strains we examined wMel has the lowest density ,. The effect of excess dietary cholesterol is likely linked to both Wolbachia density and therefore blocking strength, with strains that offer stronger blocking providing a greater delay in virus-induced mortality and potentially providing more scope for competition over cholesterol to affect viral propagation. In flies without Wolbachia there was no effect of cholesterol on virus-induced mortality, however it is possible that such an effect would only become apparent during infections with lower viral titres where flies would survive longer.
For all three strains the level of host cholesterol was intrinsically linked to the mean survival time, as within an experiment lines with higher cholesterol levels had lower survival times. With the exception of wMel experiment 1, both significantly increased mortality and cholesterol levels were observed for flies reared on the supplemented diets compared to the control. Additionally, in cases where the two treatment diets had similar survival times, they generally had similar cholesterol levels. This suggests that there is a strong relationship between fly cholesterol levels and virus-induced mortality, and therefore represents an important determinant of pathogen blocking strength.
Effect on virus accumulation and Wolbachia density
In Drosophila, some Wolbachia strains can also cause a delay in the accumulation of certain viruses, including DCV, relative to Wolbachia-uninfected flies ,. This effect has been attributed to the ability of Wolbachia to somehow interfere with the viral replication. Cholesterol has been identified as a critical factor in the replication of several viruses ,,,. In a competitive environment, if Wolbachia affected the usage of cholesterol by DCV, and this inhibited viral replication, we would expect to see greatly increased viral titres when cholesterol is provided in excess. For both wMelPop- and wMelCS-infected flies reared on cholesterol-enriched diets we observed a significant increase in DCV titre at five days post-infection. This suggests not only that the replication of DCV is dependent on cholesterol, but also implies a role for competition over cholesterol between Wolbachia and infecting viruses that can restrict viral propagation.
As an alternative to competition for cholesterol, it was possible that the observed increase in mortality and viral accumulation could have been explained if there was a corresponding decrease in Wolbachia density seen with the cholesterol-enriched diets. We compared the density of the wMelPop infection across the three host diets and observed a slight but significant decrease with the highest level of cholesterol. On the surface this might suggest that the observed effects of cholesterol on survival could have been caused by a drop in density, however there was no difference in mean survival and total cholesterol levels between intermediate and high cholesterol flies taken from the same bottles. In contrast, both lines had decreased survival and higher cholesterol than the control line, which showed no significant difference in Wolbachia density to the intermediate line. For wMelCS there was no difference in density due to diet, but mean survival and total host cholesterol differed across all three diets.
While we see that dietary supplementation with cholesterol consistently increases viral titers the effects on Wolbachia densities are less clear. In all but one case here, Wolbachia densities are unaffected by cholesterol treatment, the exception being the decline seen in wMelPop in response to high diet. Wolbachia density is likely determined by a complex series of genetic and environmental interactions . There may be a threshold requirement for cholesterol beyond which increases do not lead to greater densities of the symbiont. If this were true, Wolbachia densities might be expected to decline under dietary restriction. The unique behavior of wMelPop under the high diet could be explained by an interaction between the long term rearing on the diet and the high virulence/titer associated with the strain. Regardless, the decline in Wolbachia densities in this treatment did not lead to corresponding decreases in blocking efficacy as measured by host survival.
Implications for pathogen blocking
Our results further provide insight into the complex nature of Wolbachia-mediated pathogen blocking. This trait extends across multiple insect families, incorporating a range of effects against many different pathogens, including protection against viral-induced mortality, and blocking of pathogen replication and tissue invasion. One potential explanation for pathogen blocking in Wolbachia-infected mosquitoes was the broad upregulation of host immune genes associated with Wolbachia infection ,, which has been shown to directly affect the ability of Wolbachia to hinder viral replication . Critically, this immune priming response is not universal across Wolbachia-infected organisms, as D. melanogaster challenged with dengue virus, which is non-pathogenic in flies, show blocking of viral replication but without an accompanying immune system upregulation ,. Future work must determine whether cholesterol plays a similar role in pathogen blocking in mosquitoes, and if so whether there is also an additive relationship with the innate immune activation that has already been measured. Cholesterol supplementation of diet diminished, but did not eliminate the protective effect in our experiments, suggesting that either there is scope to completely remove blocking by further increasing cholesterol levels, or alternatively that there is a further aspect of the blocking mechanism that is as yet unidentified.
The replication of dengue and other viruses is contingent on cholesterol ,, but also depends on a variety of host lipids. DENV infection perturbs lipid homeostasis and drastically alters host lipid profiles . To facilitate replication DENV induces upregulation of fatty acid synthase resulting in increased fatty acid biosynthesis as well as relocation of fatty acid biosynthetic machinery to its own replication complexes . Wolbachia is known have limited lipid biosynthesis capabilities and relies heavily on the host cell to meet this requirement . As with dengue infection, Wolbachia induces an upregulation of fatty acid synthase in the host , and consequently there may be competition between Wolbachia and virus for key lipids beyond cholesterol that underpins pathogen blocking. Cholesterol and lipids share an association with host membranes and the Golgi apparatus, which is used by Wolbachia and viruses including DCV and DENV as a site for replication ,,,. Interestingly, excess cellular cholesterol accumulates around the Golgi , which suggests that this organelle could serve as the source of lipids for both Wolbachia and infecting viruses, and fuel the competitive process that contributes to pathogen blocking.
Pathogen blocking in flies has been linked to Wolbachia density, with high-density strains providing greater protection against virus-induced mortality . The two strains where there was the greatest effect of cholesterol supplementation on pathogen blocking, wMelPop and wMelCS, both grow to high density and provide strong protection from the pathogenic effects of DCV infection, while the wMel infection, which is less pervasive in fly tissues does not. This suggests that while competition for cholesterol plays an important role in pathogen blocking, the effect is stronger for strains that provide greater protection to their host, as this offers more scope for competition under conditions of high cholesterol. As for Drosophila, pathogen blocking in Wolbachia-infected Aedes aegypti shows a high degree of density dependence, with low-density natural infections such as those in Aedes fluviatillis and Aedes albopictus providing only minimal blocking, and transinfected infections of wMelPop-CLA and wMel in Aedes aegypti growing to high density and providing strong interference against many pathogens ,. A. aegypti, infected with these high density strains, have been used in field releases designed to introduce Wolbachia into wild mosquito populations to render them incapable of dengue transmission . Given our results there is scope for a role for competition over cholesterol to affect pathogen blocking in these lines.
The results presented here indicate that the mechanism of pathogen blocking is likely to be multifaceted. This in turn would suggest that development of resistance by pathogens to Wolbachia blocking is likely to be more difficult than if the mechanism was mediated solely through immune priming. Moreover since assays measuring the strength of pathogen blocking are conducted using laboratory animal lines reared under optimal nutritional conditions, it is possible that these assays are underestimating the strength of blocking that occurs under field conditions where insects are often subjected to extremely nutrient deficient habitats.
Materials and Methods
Drosophila melanogaster were reared on one of three diets - Standard media (50 g Sugar, 17 g Torula Yeast, 15 g Agar/L of food) , Intermediate cholesterol or High cholesterol. Powdered cholesterol (Sigma Aldrich C3045) was dissolved in 100% ethanol to produce an increase in dietary concentration of 0.05 mg/mL for Intermediate, and 0.1 mg/mL for High. Cholesterol in ethanol was added to media during cooking after it had boiled when the temperature had decreased to approximately 60°C. 1 mL of ethanol + cholesterol was added per 40 mL of food. 1 mL of ethanol without cholesterol was added to the control diet to account for any potential effects of ethanol on fly survival. Flies were reared in bottles containing 40 mL of media at a standardised density of approximately 150 larvae per bottle. Bottles were maintained at 25°C, RH 60% in an incubator.
Three independent lines of Drosophila melanogaster from the w1118 background, infected with the wMelPop, wMel and wMelCS Wolbachia strains were moved to media containing 0.3 mg/mL tetracycline-HCl . After two generations females from each line were screened for the presence of the Wolbachia surface protein gene (wsp). Primers (5′ - 3′): (wspF – TGGTCCAATAAGTGATGAAGAAAC); (wspR – AAAAATTAAACGCTACTCCA). Flies were then screened with PCR to determine that they did not harbour a vertically transmitted DCV infection. Primers (5′ - 3′): (DCVF AGGCTGTGTTTGCGCGAAG); (DCVR – AATGGCAAGCGCACACAATTA) . Once flies were free of Wolbachia, they were removed from tetracycline-supplemented food and transferred to bottles where uninfected male flies had been allowed to feed freely for 24 hours. This allowed for recolonisation of typical microbial infections of the digestive system that were removed with the Wolbachia infection by tetracycline treatment. Flies were reared on either Standard, Intermediate or High diets for between 7 and 11 generations before experiments. DCV accumulation in wMelCS-infected flies was measured after 30 generations on cholesterol-enriched food.
Virus purification and titration
S2 cells were infected with DCV from previous stocks  by incubating for 5 days at 28°C in Schneider's standard media + 10% FBS + 1% Pen/strep. Cells were thawed and frozen to allow the release of the virus from the cells. The supernatant was centrifuged at 4000 rpm at 12°C for 25 mins and then ultracentrifuged at 25,000 rpm at 12°C for 3 hours. The pellet was resuspended in 1.5 mL 50 mM Tris pH 7.4 and left overnight at 4°C. The solution was layered using a 10–40% sucrose gradient and then ultracentrifuged again at 27,000 rpm at 12°C for 3 hours. Fractions were collected from the gradient and aliquots of the suspension were run on an SDS-PAGE gel to determine which fractions contained the bulk of the DCV. These fractions were then ultracentrifuged at 27,000 rpm at 12°C for 3 hours and the pellets resuspended in 50 mM Tris. The amount of DCV was quantified using a TCID-50 assay. S2 cells were infected with DCV in a dilution series on a 96 well cell culture plate and incubated at 28°C. After six days these cells were scored to determine which had become infected. These data were used as part of a formula that considered the dilution of virus and proportion of infected wells to determine the TCID-50 value of the aliquot in infectious units per mL . Infected cells were non-confluent and surrounded by cellular debris. Three TCID-50s were performed and the overall concentration of the DCV stock was taken as the average of the three. Both TCID-50 and injection aliquots were thawed only once on the day of use.
Through experimental trials it was determined that a DCV titre of approximately 50 infectious units per fly would kill flies uninfected by Wolbachia in 5–7 days, and w1118-wMel-infected flies in approximately 9–10 days. This concentration was selected for use in further survival assays. Male flies from each of the three diets were challenged with DCV via intra-peritoneal injection using a Nanoject II (Drummond Scientific). Flies for each injection were the same age, although age varied between 4–7 days post-eclosion between different experiments, a similar age range used in previous experiments . Three vials of 12 flies each were injected per diet by infection status condition for each experiment. Additionally, one vial of flies per condition was injected with 1× PBS to serve as a control for the effects of the DCV infection. Survival was monitored daily, with deaths in the first 48 hours post-injection treated as being due to trauma. Three separate injections were conducted for each of the wMelPop-, wMel- and wMelCS-infected lines. Survival curves represent a single injection experiment (Figs. 1 and S1). The effect of diet and Wolbachia infection on survival were analysed for each experiment using Cox Regression. Survival between treatments was then evaluated using the Kaplan-Meier log-rank test with strata = vial for each experiment separately. In principle it would be desirable to use ANOVA to test for the significance of the interaction term Wolbachia*cholesterol level on survival across all experiments, but this is not possible given the unavoidable variation in viral titer between preparations for the replicate experiments. All statistics were performed using SPSS V17 (IBM). Flies from the wMelPop-infected line were treated with tetracycline-hydrochloride to cure their Wolbachia infection. These “cured” flies were then challenged with DCV as above to determine that Wolbachia caused the protective effects observed in the other survival experiments.
Cholesterol quantification was performed on flies from the same bottle used in each survival experiment to clarify that there was a diet-based difference in cholesterol levels between the injected lines. For each assay male flies from each line were provided only 10% sucrose for 24 hours to clear their digestive systems of cholesterol-containing media, and were then collected in pools of five. Flies were normalised by weight and then homogenized in buffer (150 mM NaCl, 50 mM Tris pH 7.5, 2 mM EDTA) to a final concentration of 10 µg/µL. Total cholesterol and cholesteryl ester levels were quantified using the Amplex Red Cholesterol Testing Kit (Invitrogen) according to the manufacturer's instructions. Data were obtained using a BioTek SYNERGYMX Fluorescent plate reader (Millennium Sciences) and compared statistically for each experiment with student's t-tests and ANOVA using Prism V 5.0d, (Graph Pad Software).
Total DCV levels were independently quantified for male wMelPop- and wMelCS-infected flies in order to determine the effects of increased dietary cholesterol on virus accumulation. Flies from the three dietary conditions were infected with DCV as in the survival experiments. Flies were collected in pools of four at 5 days post-infection. RNA was extracted using the TRIzol RNA extraction protocol (Invitrogen), and cDNA synthesised using Superscript III Reverse Transcriptase (Invitrogen). Levels of DCV were quantified relative to Cyclin K (CycK - FlyBase ID: FBgn0025674) in duplicate with a LightCycler 480 II Instrument (Roche) using LightCycler 480 SYBR Green I Master (Roche). DCV primers were as above. CycK primers were as previously described (5′ – 3′): (CycKF – GAGCATCCTTACACCTTTCTCCT); (CycKR – TAATCTCCGGCTCCCACTG) . The qPCR profile was as previously described . The expression levels of the reference and target genes were quantified in duplicate for each biological replicate. Mean Normalised DCV: CycK expression ratios were calculated using qGene . These ratios were compared between treatments with Mann Whitney U-tests and Bonferroni-Holm multiple testing corrections using Prism V 5.0d (Graph Pad Software).
Wolbachia density was quantified for wMelPop-infected flies from the same generation used in survival experiment two, and for wMelCS-infected flies from the same generation used in survival experiment one. DNA was extracted from 20 individual males using the ReliaPrep gDNA Tissue Miniprep System (Promega), according to manufacturer's instructions. Wolbachia density was then determined by relative quantitative PCR (qPCR) by comparing the abundance wsp to that of the single-copy Drosophila melanogaster rps17 gene. Primers (5′ - 3′): (RpS17F – CACTCCCAGGTCCGTGGTAT); (RpS17R – GGACACTTCCGGCACGTAGT). wsp primers were as above. For each sample, qPCR amplification of DNA was performed in duplicate with a LightCycler 480 II Instrument (Roche) using LightCycler 480 SYBR Green I Master (Roche) according to the manufacturer's protocol. The temperature profile of the qPCR was 10 mins of pre-incubation at 95°C, 45 cycles of 95°C for 10 s, 60°C for 15 s, 72°C for 10 s. wsp:rps17 ratios were obtained for each biological replicate using the LightCycler 480 II software (Roche), and then compared independently for each strain using ANOVA and student's t-tests with a Bonferroni multiple testing correction (Graph Pad Prism 5.0d).
Survival curves and total cholesterol levels from other experiments. Survival curves for experiments not depicted in Figure 1 – wMelPop experiments two (A) and three (B), wMelCS experiments one (C) and three (D), and wMel experiments one (E) and three (F). There were noticeable differences in survival based on cholesterol content in diet for both wMelPop experiments, and in wMelCS experiment one (here there were no flies from the intermediate diet available for injection). For wMelCS experiment three and wMel experiment one the survival effect was not necessarily related to dietary cholesterol, suggesting that there is a great deal of variability surrounding the trait. For wMel experiment three there was little evidence of a pathogen blocking effect, with only a few Wolbachia-infected flies surviving longer than their uninfected counterparts. Figure key: Wolbachia-infected flies - dashed lines with rhomboid markers, uninfected flies – solid lines with square markers, PBS controls – dotted lines with circle markers, Standard diet – black line, Intermediate diet – red lines, High diet – blue lines. Mean (± s.e.m.) total cholesterol and cholesteryl ester levels for flies in the six experiments above - wMelPop experiments two (G) and three (H), wMelCS experiments one (I) and three (J), and wMel experiments one (K) and three (L).
Survival curve after wMelPop-cured flies were challenged with DCV. Both Wolbachia-infected and –uninfected flies from all three dietary regimes were treated with tetracycline-hydrochloride for two generations to cure their Wolbachia infection. Upon challenge with DCV, there was no evidence of a pathogen blocking effect, with all lines showing complete mortality within seven days of infection. Figure key: Wolbachia-cured flies - dashed lines with rhomboid markers, uninfected flies – solid lines with square markers, PBS controls – dotted lines with circle markers, Standard diet – black line, Intermediate diet – red lines, High diet – blue lines.
ANOVA data for cholesterol quantification in each experiment. The ANOVA comparisons for the cholesterol quantification data from all 9 experiments. In the majority of experiments, ‘Infected’ is not a statistically significant variable, suggesting that host cholesterol levels are not affected by Wolbachia infection. ‘Diet’ is a significant factor for all experiments, suggesting that our cholesterol-enriched diets were a critical factor affecting host cholesterol levels.
The authors wish to thank Yi Dong, Dr Jyotika Taneja DeBruyne and Dr Iñaki Iturbe-Ormaetxe for technical assistance, and Dr Travis Johnson for providing the Cyclin K primers.
Conceived and designed the experiments: EPC ER KNJ SLO EAM. Performed the experiments: EPC ER LMH AWG. Analyzed the data: EPC ER EAM. Wrote the paper: EPC KNJ SLO EAM.
- 1. Zug R, Hammerstein P (2012) Still a host of hosts for Wolbachia: analysis of recent data suggests that 40% of terrestrial arthropod species are infected. Plos One 7: e38544. doi: 10.1371/journal.pone.0038544
- 2. Hoffmann AA, Turelli M, Simmons GM (1986) Unidirectional Incompatibility Between Populations Of Drosophila simulans. Evolution 40: 692–701. doi: 10.2307/2408456
- 3. Bian GW, Xu Y, Lu P, Xie Y, Xi ZY (2010) The Endosymbiotic Bacterium Wolbachia Induces Resistance to Dengue Virus in Aedes aegypti. Plos Pathogens 6: e1000833. doi: 10.1371/journal.ppat.1000833
- 4. Glaser RL, Meola MA (2010) The Native Wolbachia Endosymbionts of Drosophila melanogaster and Culex quinquefasciatus Increase Host Resistance to West Nile Virus Infection. Plos One 5: e11977. doi: 10.1371/journal.pone.0011977
- 5. Hedges LM, Brownlie JC, O'Neill SL, Johnson KN (2008) Wolbachia and Virus Protection in Insects. Science 322: 702–702. doi: 10.1126/science.1162418
- 6. Kambris Z, Cook PE, Phuc HK, Sinkins SP (2009) Immune Activation by Life-Shortening Wolbachia and Reduced Filarial Competence in Mosquitoes. Science 326: 134–136. doi: 10.1126/science.1177531
- 7. Moreira LA, Iturbe-Ormaetxe I, Jeffery JA, Lu GJ, Pyke AT, et al. (2009) A Wolbachia Symbiont in Aedes aegypti Limits Infection with Dengue, Chikungunya, and Plasmodium. Cell 139: 1268–1278. doi: 10.1016/j.cell.2009.11.042
- 8. Teixeira L, Ferreira A, Ashburner M (2008) The Bacterial Symbiont Wolbachia Induces Resistance to RNA Viral Infections in Drosophila melanogaster. Plos Biology 6: 2753–2763. doi: 10.1371/journal.pbio.1000002
- 9. Wong ZS, Hedges LM, Brownlie JC, Johnson KN (2011) Wolbachia-Mediated Antibacterial Protection and Immune Gene Regulation in Drosophila. Plos One 6: e25430. doi: 10.1371/journal.pone.0025430
- 10. Osborne SE, Leong YS, O'Neill SL, Johnson KN (2009) Variation in Antiviral Protection Mediated by Different Wolbachia Strains in Drosophila simulans. Plos Pathogens 5: e1000656. doi: 10.1371/journal.ppat.1000656
- 11. Osborne SE, Iturbe-Ormaetxe I, Brownlie JC, O'Neill SL, Johnson KN (2012) Antiviral Protection and the Importance of Wolbachia Density and Tissue Tropism in Drosophila simulans. Appl Environ Microbiol 78: 6922–6929. doi: 10.1128/aem.01727-12
- 12. McMeniman CJ, Lane RV, Cass BN, Fong AWC, Sidhu M, et al. (2009) Stable Introduction of a Life-Shortening Wolbachia Infection into the Mosquito Aedes aegypti. Science 323: 141–144. doi: 10.1126/science.1165326
- 13. Walker T, Johnson PH, Moreira LA, Iturbe-Ormaetxe I, Frentiu FD, et al. (2011) A non-virulent Wolbachia infection blocks dengue transmission and rapidly invades Aedes aegypti populations Nature. 476: 450–455. doi: 10.1038/nature10355
- 14. Hoffmann AA, Montgomery BL, Popovici J, Iturbe-Ormaetxe I, Johnson PH, et al. (2011) Successful establishment of Wolbachia in Aedes populations to suppress dengue transmission. Nature 476: 454–U107. doi: 10.1038/nature10356
- 15. Pan X, Zhou G, Wu J, Bian G, Lu P, et al. (2012) Wolbachia induces reactive oxygen species (ROS)-dependent activation of the Toll pathway to control dengue virus in the mosquito Aedes aegypti. Proceedings of the National Academy of Sciences of the United States of America 109: E23–E31. doi: 10.1073/pnas.1116932108
- 16. Wu M, Sun LV, Vamathevan J, Riegler M, Deboy R, et al. (2004) Phylogenomics of the reproductive parasite Wolbachia pipientis wMel: A streamlined genome overrun by mobile genetic elements. Plos Biology 2: 327–341. doi: 10.1371/journal.pbio.0020069
- 17. Min KT, Benzer S (1997) Wolbachia, normally a symbiont of Drosophila, can be virulent, causing degeneration and early death. Proceedings of the National Academy of Sciences of the United States of America 94: 10792–10796. doi: 10.1073/pnas.94.20.10792
- 18. Lipsitch M, Moxon ER (1997) Virulence and transmissibility of pathogens: What is the relationship? Trends in Microbiology 5: 31–37. doi: 10.1016/s0966-842x(97)81772-6
- 19. Rancès E, Ye YH, Woolfit M, McGraw EA, O'Neill SL (2012) The Relative Importance of Innate Immune Priming in Wolbachia-Mediated Dengue Interference. Plos Pathogens 8: e1002548. doi: 10.1371/journal.ppat.1002548
- 20. Bourtzis K, Pettigrew MM, O'Neill SL (2000) Wolbachia neither induces nor suppresses transcripts encoding antimicrobial peptides. Insect Mol Biol 9: 635–639. doi: 10.1046/j.1365-2583.2000.00224.x
- 21. Eaton S (2008) Multiple roles for lipids in the Hedgehog signalling pathway. Nature Reviews Molecular Cell Biology 9: 437–445. doi: 10.1038/nrm2414
- 22. Kabouridis PS, Janzen J, Magee AL, Ley SC (2000) Cholesterol depletion disrupts lipid rafts and modulates the activity of multiple signaling pathways in T lymphocytes. European Journal of Immunology 30: 954–963. doi: 10.1002/1521-4141(200003)30:3<954::aid-immu954>3.3.co;2-p
- 23. Feldlaufer MF, Weirich GF, Imberski RB, Svoboda JA (1995) Ecdysteroid Production in Drosophila melanogaster Reared on Defined Diets. Insect Biochemistry and Molecular Biology 25: 709–712. doi: 10.1016/0965-1748(95)00009-k
- 24. Cho K-O, Kim G-W, Lee O-K (2011) Wolbachia Bacteria Reside in Host Golgi-Related Vesicles Whose Position Is Regulated by Polarity Proteins. Plos One 6: e22703. doi: 10.1371/journal.pone.0022703
- 25. Lin MQ, Rikihisa Y (2003) Ehrlichia chaffeensis and Anaplasma phagocytophilum lack genes for lipid a biosynthesis and incorporate cholesterol for their survival. Infection and Immunity 71: 5324–5331. doi: 10.1128/iai.71.9.5324-5331.2003
- 26. Mackenzie JM, Khromykh AA, Parton RG (2007) Cholesterol manipulation by west nile virus perturbs the cellular immune response. Cell Host & Microbe 2: 229–239. doi: 10.1016/j.chom.2007.09.003
- 27. Carter GC, Bernstone L, Sangani D, Bee JW, Harder T, et al. (2009) HIV entry in macrophages is dependent on intact lipid rafts. Virology 386: 192–202. doi: 10.1016/j.virol.2008.12.031
- 28. Blanc M, Hsieh WY, Robertson KA, Watterson S, Shui GH, et al. (2011) Host Defense against Viral Infection Involves Interferon Mediated Down-Regulation of Sterol Biosynthesis. Plos Biology 9: e1000598. doi: 10.1371/journal.pbio.1000598
- 29. Fluegel ML, Parker TJ, Pallanck LJ (2006) Mutations of a Drosophila NPC1 gene confer sterol and ecdysone metabolic defects. Genetics 172: 185–196. doi: 10.1534/genetics.105.046565
- 30. Dobson SL, Bourtzis K, Braig HR, Jones BF, Zhou WG, et al. (1999) Wolbachia infections are distributed throughout insect somatic and germ line tissues. Insect Biochemistry and Molecular Biology 29: 153–160. doi: 10.1016/s0965-1748(98)00119-2
- 31. Hotta K, Bazartseren B, Kaku Y, Noguchi A, Okutani A, et al. (2009) Effect of cellular cholesterol depletion on rabies virus infection. Virus Research 139: 85–90. doi: 10.1016/j.virusres.2008.10.009
- 32. Lee CJ, Lin HR, Liao CL, Lin YL (2008) Cholesterol effectively blocks entry of flavivirus. Journal of Virology 82: 6470–6480. doi: 10.1128/jvi.00117-08
- 33. Mouton L, Henri H, Charif D, Bouletreau M, Vavre F (2007) Interaction between host genotype and environmental conditions affects bacterial density in Wolbachia symbiosis. Biol Lett 3: 210–213. doi: 10.1098/rsbl.2006.0590
- 34. Rothwell C, LeBreton A, Ng CY, Lim JYH, Liu W, et al. (2009) Cholesterol biosynthesis modulation regulates dengue viral replication. Virology 389: 8–19. doi: 10.1016/j.virol.2009.03.025
- 35. Perera R, Riley C, Isaac G, Hopf-Jannasch AS, Moore RJ, et al. (2012) Dengue Virus Infection Perturbs Lipid Homeostasis in Infected Mosquito Cells. Plos Pathogens 8: e1002584. doi: 10.1371/journal.ppat.1002584
- 36. Heaton NS, Perera R, Berger KL, Khadka S, LaCount DJ, et al. (2010) Dengue virus nonstructural protein 3 redistributes fatty acid synthase to sites of viral replication and increases cellular fatty acid synthesis. Proceedings of the National Academy of Sciences of the United States of America 107: 17345–17350. doi: 10.1073/pnas.1010811107
- 37. Cherry S, Doukas T, Armknecht S, Whelan S, Wang H, et al. (2005) Genome-wide RNAi screen reveals a specific sensitivity of IRES-containing RNA viruses to host translation inhibition. Genes & Development 19: 445–452. doi: 10.1101/gad.1267905
- 38. Cherry S, Kunte A, Wang H, Coyne C, Rawson RB, et al. (2006) COPI activity coupled with fatty acid biosynthesis is required for viral replication. Plos Pathogens 2: 900–912. doi: 10.1371/journal.ppat.0020102
- 39. Noisakran S, Dechtawewat T, Avirutnan P, Kinoshita T, Siripanyaphinyo U, et al. (2008) Association of dengue virus NS1 protein with lipid rafts. Journal of General Virology 89: 2492–2500. doi: 10.1099/vir.0.83620-0
- 40. Hortsch R, Lee E, Erathodiyil N, Hebbar S, Steinert S, et al. (2010) Glycolipid Trafficking in Drosophila Undergoes Pathway Switching in Response to Aberrant Cholesterol Levels. Molecular Biology of the Cell 21: 778–790. doi: 10.1091/mbc.e09-01-0005
- 41. Bass TM, Grandison RC, Wong R, Martinez P, Partridge L, et al. (2007) Optimization of dietary restriction protocols in Drosophila. J Gerontol A Biol Sci Med Sci 62: 1071–1081. doi: 10.1093/gerona/62.10.1071
- 42. Hedges LM, Johnson KN (2008) Induction of host defence responses by Drosophila C virus. Journal of General Virology 89: 1497–1501. doi: 10.1099/vir.0.83684-0
- 43. Collinge JE, Anderson AR, Weeks AR, Johnson TK, McKechnie SW (2008) Latitudinal and cold-tolerance variation associate with DNA repeat-number variation in the hsr-omega RNA gene of Drosophila melanogaster. Heredity 101: 260–70. doi: 10.1038/hdy.2008.57
- 44. Simon P (2003) Q-Gene: processing quantitative real-time RT-PCR data. Bioinformatics 19: 1439–1440. doi: 10.1093/bioinformatics/btg157