Abstract
Dengue virus (DENV) is the most prevalent mosquito-borne Flavivirus that affects humans worldwide. Aedes albopictus, which is naturally infected with the bacteria Wolbachia, is considered to be a secondary vector of DENV. However, it was responsible for a recent DENV outbreak of unprecedented magnitude in Reunion Island, a French island in the South West Indian Ocean. Moreover, the distribution of the cases during this epidemic showed a spatially heterogeneous pattern across the island, leading to questions about the differential vector competence of mosquito populations from different geographic areas. The aim of this study was to gain a better understanding of the vector competence of the Ae. albopictus populations from Reunion Island for local DENV epidemic strains, while considering their infection by Wolbachia. Experimental infections were conducted using ten populations of Ae. albopictus sampled across Reunion Island and exposed to three DENV strains: one strain of DENV serotype 1 (DENV-1) and two strains of DENV serotype 2 (DENV-2). We analyzed three vector competence parameters including infection rate, dissemination efficiency and transmission efficiency, at different days post-exposition (dpe). We also assessed whether there was a correlation between the density of Wolbachia and viral load/vector competence parameters. Our results show that the Ae. albopictus populations tested were not able to transmit the two DENV-2 strains, while transmission efficiencies up to 40.79% were observed for the DENV-1 strain, probably due to difference in viral titres. Statistical analyses showed that the parameters mosquito population, generation, dpe and area of sampling significantly affect the transmission efficiencies of DENV-1. Although the density of Wolbachia varied according to mosquito population, no significant correlation was found between Wolbachia density and either viral load or vector competence parameters for DENV-1. Our results highlight the importance of using natural mosquito populations for a better understanding of transmission patterns of dengue.
Introduction
Dengue is the most widespread mosquito-borne disease affecting humans, with half of the global population located in 128 tropical and subtropical countries, at risk of infection [1,2]. Most of the 96 million symptomatic cases per year are dengue fevers, which are characterized by a panel of mild symptoms [3]. However, some cases demonstrate much more severe syndromes called severe dengue (which can include severe plasma leakage, severe hemorrhagic syndrome, with or without shock, and various organ dysfunctions). Severe dengue is responsible for 20,000 deaths each year [4,5]. The etiological agent of the disease, the dengue virus (DENV), is a positive single-stranded linear RNA genome (11 kilobases), belonging to the genus Flavivirus (Flaviviridae family). Four different DENV serotypes exist, each of which is divided into several genotypes based on molecular analyses [6–8]. Long term serotype-specific immunity follows a DENV infection and lasts for several decades [9], whereas secondary infection with a heterologous serotype can lead to severe disease manifestations through the antibody-dependent enhancement effect [10,11]. The DENV is transmitted to humans through the bite of infected female mosquitoes, mostly of the Aedes genus. Globally, the mosquito species Aedes aegypti is considered as the primary DENV vector, with Aedes albopictus recognized as a secondary vector [5,12–14]. However, outbreaks of dengue involving Ae. albopictus have been reported in some countries, such as in Japan (in 1942 and in 2014) [15,16], Hawaii (in 2001) [17], Madagascar (in 2006) [18], Gabon (in 2007) [19], China (in 2004 and 2010) [20,21] and more recently in Reunion Island (in 2017) [22].
Reunion Island is an overseas French department located in South-Western Indian Ocean (SWIO), about 700 km east of Madagascar. Several dengue outbreaks have been documented on the island, with the first officially recorded one dating back to 1977 [23]. Subsequently, low-intensity outbreaks have been reported for several years, with less than 230 cases per year and no death related to dengue. However, Reunion Island has faced unprecedented epidemiological patterns from 2017 to 2021. During this period, 71,636 confirmed cases, 542 severe forms and 78 deaths were reported [22]. All four DENV serotypes have been detected in Reunion Island since 1977: the three serotypes DENV-1, DENV-2 and DENV-3 in autochthonous cases, and all four serotypes in imported cases [22]. A strong seasonal pattern in dengue incidence has been reported on the island, with peaks occurring between March and June (i.e., during the hot and rainy season) [22]. Besides this seasonality, the geographic distribution of dengue cases is often heterogeneous across the island, with the western and the southern parts being the most affected compared to the northern, eastern and central parts [22]. Although factors related to human populations (demography, geographic mobility, immunity) and DENV genetics may explain the transmission pattern of DENV in Reunion Island, the role of mosquito populations should also be taken into account [22].
Among the 12 species of mosquitoes encountered in Reunion Island, both Ae. aegypti and Ae. albopictus are present [24–26]. However, Ae. albopictus is the most abundant mosquito species and is commonly found throughout the island, even at altitudes exceeding 1,000 m [24,27]. This species was identified as the main vector responsible for a significant Chikungunya outbreak on Reunion Island in 2005–2006 [28], and it is also a major vector involved in dengue epidemics on the island [23,29–31]. The role of Ae. albopictus in the transmission of DENV in Reunion Island is supported by its large distribution across the island and the occurrence of peaks of DENV transmission that coincide with periods of high population densities of this vector [32,33]. DENV-1 was detected in pooled samples of Ae. albopictus collected in Reunion Island during the 2004 epidemic [30]. Other studies have shown that Ae. albopictus from Reunion Island are capable of being infected with both DENV-1 [34] and DENV-2 [35,36]. However, these data do not provide a clear picture of the vector competence variability (the ability of a vector to be infected and to transmit a pathogen) among Ae. albopictus populations from Reunion Island and their potential role in the geographical contrasts of dengue cases.
The aim of this study was to examine vector competence of natural populations of Ae. albopictus from Reunion Island, collected in areas of high and low DENV transmission. A laboratory line of Ae. aegypti from Reunion Island was used as a control. Experimental infections were performed using local epidemic DENV-1 and DENV-2 strains. Since no geographic structure of the genetic diversity of Ae. albopictus populations has been observed in Reunion Island [37,38], we also assessed the influence of the density of endosymbiotic bacteria Wolbachia on vector competence phenotypes. Aedes albopictus is naturally infected with two Wolbachia strains, namely wAlbA and wAlbB [39], which can interfere with the replication and transmission of DENV [35,40,41]. The results of this investigation may help to better understand the role of Ae. albopictus populations in the epidemiological patterns of dengue in Reunion Island.
Materials and methods
Mosquitoes
Aedes albopictus specimens were collected as eggs, larvae and pupae in 10 localities across Reunion Island in 2020 and 2021: Sainte-Marie (F0_SM), Saint-André (F0_SA), Saint-Gilles les Hauts (F0_SG), Saint-Philippe (F0_SPh), Saint-Paul (F1_SPa), Saint-Louis (F1_SL), Ligne Paradis (F1_LP), Sainte-Clotilde (F2_SC), Bras-Panon (F2_BP) and Trois Bassins (F2_TB) (Fig 1 and Table 1). Field samples (F0 generation) were reared in the laboratory under standard conditions [26 ± 1°C, 80% relative humidity (RH), 12 h light/12 h dark photoperiod]. Larvae were fed with yeast tablets, and adults were provided with 10% sucrose solution. Samples collected as eggs were amplified for one generation (F1) or two generations (F2) before vector competence experiments. To achieve this, adult females were artificially fed with bovine blood using the Hemotek feeding system (Hemotek Limited, Great Harwood, UK) covered by pig intestine. Experimental infections were conducted using four Ae. albopictus populations of F0 generation (F0_SM, F0_SA, F0_SG and F0_SPh), three populations of F1 generation (F1_SPa, F1_SL and F1_LP), and three populations of F2 generation (F2_SC, F2_BP and F2_TB) (Table 1). A laboratory colony of Ae. aegypti (F31 and F37 generations), established from mosquitoes collected in the Trois Bassins locality in 2014 (F31_Aeg and F37_Aeg), was also used (Fig 1 and Table 1).
Table 1. General information about mosquito populations and DENV strains used in this study.
Mosquitoes | DENV strain | Number of samples examined | ||||||
---|---|---|---|---|---|---|---|---|
Species | Sampling site (population code) | Geographic area | Generation | Date of collection | 14 dpe | 21 dpe | 28 dpe | |
Aedes albopictus | Sainte-Marie (F0_SM) | North | F0 | April 2021 | DENV-1 | 32 | 48 | 48 |
May 2021 | DENV-2_EVAg | 48 | 48 | 48 | ||||
DENV-1 | 24 | 24 | 26 | |||||
Sainte-Clotilde (F2_SC) | North | F2 | February to March 2020 | DENV-1 | 32 | 38 | 0 | |
Saint-Gilles les Hauts (F0_SG) | West | F0 | April 2021 | DENV-1 | 32 | 48 | 48 | |
DENV-2_ EVAg | 0 | 0 | 5 | |||||
Saint-Paul (F1_SPa) | West | F1 | February to March 2020 | DENV-2_JUL | 17 | 0 | 0 | |
Trois Bassins (F2_TB) | West | F2 | February to March 2020 | DENV-1 | 48 | 48 | 76 | |
Saint-Philippe (F0_SPh) | South | F0 | April 2021 | DENV-1 | 32 | 48 | 48 | |
DENV-2_EVAg | 0 | 0 | 16 | |||||
Saint-Louis (F1_SL) | South | F1 | February to March 2020 | DENV-2_JUL | 22 | 0 | 0 | |
Ligne Paradis (F1_LP) | South | F1 | February to March 2020 | DENV-2_JUL | 17 | 0 | 0 | |
Saint-André (F0_SA) | East | F0 | April 2021 | DENV-1 | 32 | 48 | 32 | |
DENV-2_EVAg | 48 | 48 | 48 | |||||
Bras-Panon (F2_BP) | East | F2 | February to March 2020 | DENV-1 | 48 | 48 | 70 | |
Aedes aegypti | Trois Bassins (F31_Aeg or F37_Aeg) | Laboratory colony | F31 | 2014 | DENV-2_EVAg | 35 | 0 | 0 |
DENV-2_JUL | 32 | 0 | 0 | |||||
F37 | DENV-1 | 32 | 48 | 30 |
Viral strains
Three clinical DENV strains isolated from autochthonous human cases from Reunion Island were used: one DENV-1 strain of genotype 1, (GenBank accession number: ON631277), and two DENV-2 strains of the same lineage inside the cosmopolitan genotype, DENV-2_JUL (GenBank accession number: MN272404) and DENV-2_EVAg (EVAg reference: UVE/DENV-2/2018/RE/47099). The DENV-1 strain was isolated on Vero E6 cells (ATCC, ref. CRL-1586) from a serum sampled in 2019 [43]. The DENV-2_JUL was isolated on Vero E6 cells from a blood sample collected from a patient in 2018 [44]. The DENV-2_EVAg was purchased as lyophilizate from the European Virus Archive goes global (EVAg) at passage 4. This latest DENV strain was isolated from a traveler returning from Reunion Island to mainland France in 2018. Before viral production, the lyophilized DENV-2_EVAg was resuspended into 200 μl distilled water. Viral stocks of the three DENV strains used in experimental infections were amplified on Vero E6 cells at a MOI of 0.1 in an Eagle’s minimum essential medium (MEM) supplemented with 2% heat-inactivated fetal bovine serum (FBS), 2 mmol/l L-glutamine, 1 mmol/l sodium pyruvate, 10 U/ml of penicillin, 0.1 mg/ml of streptomycin and 0.5 μg/ml of fungizone (PAN Biotech, Aidenbach, Germany). Vero cells were maintained at 37°C with a 5% CO2 atmosphere. For all virus stocks, supernatants were harvested three to five days post-infection after the onset of cytopathic effects and then frozen at -80°C until use.
Experimental infections
Seven to fifteen-day-old female mosquitoes were isolated in small cages (16×16×16 cm) and starved for 24 to 30 hours. After this starvation period, they were allowed to feed for 45 minutes on infectious blood meals consisting of 1 ml of washed rabbit erythrocytes, 1 ml of DENV suspension and 5 mM (21 μl) of adenosine triphosphate used as a phagostimulant. The infectious blood meal was delivered to mosquitoes using the Hemotek feeding system (Hemotek Limited, Great Harwood, UK) covered with pig intestine. Because we were unable to increase the titres of viral stocks of the two DENV-2 strains for experimental infections, infectious blood meals were performed with the maximum possible virus titre which differed between DENV strains with 7×106 PFU/ml, 6.8×104 PFU/ml and 3.2×105 PFU/ml for DENV-1, DENV-2_JUL and DENV-2_EVAg, respectively. Then, mosquitoes were cold-anesthetized, and engorged females were transferred into a climatic chamber (26±1°C, 80% of RH and with a photoperiod of 12 h light/12 h dark) where they were maintained with a 10% sucrose solution for a maximum of 28 days. Seven Ae. albopictus populations were infected with DENV-1 (F0_SM, F0_SG, F0_SPh, F0_SA, F2_SC, F2_BP, F2_TB), three populations were infected with DENV-2_JUL (F1_SPa, F1_SL, F1_LP), and four populations with DENV-2_EVAg (F0_SM, F0_SG, F0_SPh, F0_SA) (Table 1). The Ae. aegypti colony (F31 and F37 generations) was infected with the three DENV strains (Table 1). Mosquito populations infected with a specific DENV strain were selected based on the availability of the both mosquito populations and the viral strains in the laboratory.
Vector competence analysis
At 14, 21, and 28 days post-exposure (dpe) to infectious blood meals, legs and wings of mosquitoes (N = 5 to 76, Table 1) were removed before salivation [45]. Saliva from individual mosquitoes was collected for 30 min by inserting the proboscis into a pipette tip containing 5 μl of FBS. Afterwards, the solution contained in the tip was transferred to 45 μl of complete MEM medium (i.e. MEM supplemented with l-glutamine, sodium pyruvate, penicillin, streptomycin and fungizone as described above). Then the head and the body (thorax and abdomen) were separated and ground in 200 μl of complete MEM medium supplemented with 2% FBS. After a centrifugation at 10,000×g for 5 minutes to pellet tissue debris, 150 μl of the supernatant of each sample was stored at -80°C until detection and titration of DENV. For bodies, pellets were stored in -80°C for the measurement of Wolbachia density (see below). The detection of DENV in bodies, heads and saliva was performed by plaque forming unit (PFU) assays on Vero cells. For bodies and heads, 48-well culture plates were seeded with 5×104 Vero E6 cells per well. For saliva, 12-well plates were seeded with 3×105 Vero E6 cells per well. The following day, cells were incubated for 2 hours (37°C, 5% CO2) with 100 μl of ten-fold dilutions of body or head homogenates, or with 250 μl of ten-fold dilutions of the solution containing saliva. All dilutions were performed with complete MEM medium supplemented with 2% FBS. Then, 200 μl (for bodies and heads) or 1 ml (for saliva) of MEM medium supplemented with 5% of FBS and 0.8% of carboxymethylcellulose sodium salt (CMC; Sigma-Aldrich, Saint-Quentin-Fallavier, France) were added to each well. After 5 days of incubation (37°C, 5% CO2), supernatants were removed, cells were washed twice with PBS, fixed with 3.7% paraformaldehyde (Sigma-Aldrich), and stained with 0.5% crystal violet (Sigma-Aldrich) dissolved in ethanol 20% (S1 Fig). Vector competence of each population was evaluated based on three parameters: the infection rate (IR), the dissemination efficiency (DE), and the transmission efficiency (TE). IR, DE and TE correspond respectively to the proportion of infected bodies, head and saliva among the total number of mosquitoes tested. For each DENV strain, the number of mosquitoes analyzed per population and the selected dpe depended on the total number of females having taken an infectious blood meal.
Viral RNA extraction and amplification
Viral loads in the bodies of infected F0 Ae. albopictus mosquitoes (N = 43) previously exposed to DENV-1 and collected at 21 and 28 dpe were quantified using the reverse transcription quantitative real-time PCR (RT-qPCR). These samples are sub-samples of those tested for vector competence (infection rates). RNA from mosquito bodies was individually extracted using the QIAcube HT robotic workstation and the associated Cador Pathogen 96 QIAcube HT Kit (QIAGEN) following manufacturer’s recommendations with slight modifications. Extracted RNA was eluted in 100 μl of AVE buffer (QIAGEN). The RT-qPCR was then performed using the QIAGEN OneStep RT-PCR Kit according to the manufacturer’s recommendations. For this, a mixed solution was prepared with RNA template (5 μl), a TaqMan probe (FAM-ACACCTCAAGCTAA-TAMRA), and primers (Forward 5’-GAACATGGRACAAYTGCAACYAT-3’; Reverse 5’-CCGTAGTCDGTCAGCTGTATTTC-3’) specific for the DENV-1 viral envelope gene. The thermocycler program consisted of a reverse transcription step of 45 min at 45°C, denaturation for 5 min at 95°C followed by 40 cycles of amplification (72°C for 5 s and 56°C for 60 s). The number of viral RNA copies was estimated against a standard curve following the methodology published by the HAS (Haute Autorité de Santé, France). Briefly, plasmids containing targeted DENV-1 were synthesized by GeneCust (France) and used as the standard curve at concentrations of 101 to 108 RNA copies per μl.
Wolbachia density
Wolbachia were quantified in bodies of F0 Ae. albopictus mosquitoes (N = 75) previously exposed to DENV-1 and collected at 21 and 28 dpe. DNA was extracted from individual body carcasses, previously stored in -80°C from samples used to test vector competence (infection rates), using the QIAcube HT robotic workstation and the associated Cador Pathogen 96 QIAcube HT Kit (QIAGEN) following the manufacturer’s recommendations with slight modifications. Afterwards, DNA was eluted in 100 μl of AVE buffer (QIAGEN) and stored at -20°C until molecular investigations. Real-time quantitative PCRs were performed with the CFX96 Touch Real-Time PCR Detection System (Bio-Rad, Hercules, CA, USA) to estimate the number of Wolbachia genome copies in each sample. Two PCRs that specifically amplified the Wolbachia surface protein gene wsp for the strains wAlbA and wAlbB were performed using newly designed primers for wAlbA (wspA: wspA_F 5’-TAACAGCAATTTCAGGACTAG-3’ and wspA_R 5’-CTGTTTTGATTATTTATAGCGG-3’) and wAlbB (wspB: wspB_F 5’-GTGGCAGTATTTTCAGGATTG-3’ and wspB_R 5’-CTGCACTAGCTTCTGAAGG-3’) that amplify 140 bp and a 130 bp fragments, respectively. Wolbachia genomes were quantified relative to mosquito genomes. To this end, a fragment of the Ae. albopictus 40S ribosomal protein S7 (RSP7) gene of 140 bp was amplified with designed primers (RSP7_F 5’-ATCGAGTTCAACAGCAAGAA-3’ and RSP7_R 5’-CGACGTGCTTGCCGGAGAAC-3’). About 5 ng of genomic DNA was mixed with 10 μl of QuantiNova Probe RT-PCR master mix (QIAGEN), 1 μl (10 μM) of each primer and 3.6 μl of RNase-free water. PCRs were run with activation for 2 mins at 95°C followed by 45 cycles (95°C for 5s and 60°C for 5s). Each DNA template was analyzed in triplicate for wspA, wspB and RSP7. A standard curve was generated for each qPCR run to standardize the signals with the RSP7 reference. The relative mean genome number of wAlbA and wAlbB strains was obtained per RSP7 copy number.
Statistical analysis
Vector competence for DENV
A first analysis was performed on all data using the proportion test to compare IR, DE and TE parameters between mosquito populations for each dpe and each DENV strain separately. A Bonferroni correction was applied for multiple comparisons [46]. A second analysis was performed to study the effects of four explanatory parameters on the vector competence of Ae. albopictus populations to DENV-1 using generalized linear models (GLM) with a binomial error structure (or quasi-binomial in case of over-dispersed data). The explanatory parameters tested were all categorical: ‘population’ (seven modalities: F0_SM, F0_SA, F0_SG, F0_SPh, F2_SC, F2_BP and F2_TB), ‘generation’ (two modalities: F0 and F2), ‘dpe’ the day post-exposure (three modalities: 14 dpe, 21 dpe, and 28 dpe), and ‘area’ (four modalities: North, East, South and West). The GLM analyses were made independently for each of the three vector competence parameters (i.e. IR, DE, and TE) used as binary response variables (DENV infected and non-infected). As each population had only one generation, the effect of the two parameters ‘population’ (of F0 or F2 generation) and ‘generation’ were analyzed independently to avoid any confounding effect. Therefore, three distinct models were used: GLM1 with the following maximal model on F0 generation only “population * dpe”, GLM2 with on F2 generation only “population * dpe”, and GLM3 on all populations with “(generation + dpe + area)^2”. Selection of the minimal model was assessed using the likelihood ratio test (LRT), and the significance of the selected parameters addressed by Anova from the car R package [47]. Based on the minimal model selected, the emmeans R package [48] was used to assess the statistical difference between the modalities.
Wolbachia density
We first compared Wolbachia density (wAlbA, wAlbB, or wAlbTot) according to dpe for each population using the Mann_Whitney test for unpaired samples and no significant difference was noted between 21 and 28 dpe either for wAlbA, wAlbB, or wAlbTot (Mann_Whitney tests; all p-values > 0.0789). Therefore, subsequent analyses were carried out by combining samples from both dpe (N = 75, 41 samples from 21 dpe and 34 samples from 28 dpe). The Mann_Whitney test was also used to compare the densities of the two Wolbachia strains for each mosquito population. The effect of population on Wolbachia density (wAlbA, wAlbB, or wAlbTot) was explored using the non-parametric Kruskal-Wallis analysis followed by pairwise post-hoc comparisons of medians with a Dunn’s test. To assess the influence of Wolbachia on vector competence parameters, mosquitoes were first classified according to four IDT (Infection, Dissemination, Transmission) scores (0, 1, 2 or 3). These IDT scores were defined as follows: the IDT score 0 for mosquitoes with no infectious DENV-1 particles either in the body, head or saliva; the IDT score 1 for samples with only infected bodies; the IDT score 2 for mosquitoes with infectious particles in the bodies and the heads; and the IDT score 3 for mosquitoes with infectious DENV-1 particles in the bodies, heads and saliva (S1 Table). Then Wolbachia density medians were compared between different combinations of these IDT scores using Mann_Whitney tests for unpaired samples. The correlation between Wolbachia densities and DENV-1 viral load in the bodies of infected mosquitoes was examined using a Pearson correlation coefficient test in a sub-sample of DENV-1 infected Ae. albopictus (N = 43). The effect of mosquito population on DENV-1 viral load was also explored using the non-parametric Kruskal-Wallis analysis followed by pairwise post-hoc comparisons of medians with a Dunn’s test.
All the statistical analyses were performed in R software (v.3.6.2) (R Core Team 2019) with also the following packages: PropCIs [49], stats (R Core Team 2019), ggplot2 [50], rstatix [51], ggbreak [52], and glm2 [53].
Results
Aedes albopictus populations of three generations (F0, F1 and F2) collected in different geographic areas (North, East, South and West) in Reunion Island, and a laboratory colony of Ae. aegypti (F31 and F37 generations) used as control, were exposed to three DENV strains: one DENV-1 and two DENV-2 that have circulated on the island between 2018–2020 (Table 1).
No transmission of DENV-2 strains by Aedes albopictus populations
Three Ae. albopictus populations of F1 generation (F1_SPa, F1_SL and F1_LP) were exposed to the DENV-2_JUL strain and vector competence parameters were examined at 14 dpe. Low IR were observed with values ranging between 5.88% (95% Confidence Interval = 1.05–26.98%) and 11.76% (3.29–34.34%) (S2 Table) but no significant differences between populations were observed in pairwise comparisons (all p-values > 0.99). No dissemination or transmission of DENV-2_JUL was observed for the three Ae. albopictus populations (S2 Table). In comparison, a laboratory colony of Ae. aegypti exposed to DENV-2_JUL was examined at 14 and 21 dpe. Similar to Ae. albopictus, low IRs were observed: 9.38% (3.24–24.22%) and 8.82% (3.05–22.96%) at 14 and 21 dpe, respectively, and no dissemination or transmission of the DENV-2_JUL strain at either dpe (S2 Table).
Four Ae. albopictus populations of F0 generation (F0_SM, F0_SA, F0_SG, and F0_SPh) were exposed to the DENV-2_EVAg strain and vector competence parameters were examined at 14, 21, and 28 dpe for F0_SM and F0_SA, and only at 28 dpe for F0_SG and F0_SPh. The Ae. albopictus populations also showed very low vector competence to DENV-2_EVAg. In F0_SM and F0_SA populations, only one infected body was observed at 14 dpe (IR = 2.08%; 0.37–10.90%; for both populations), and no infection was observed later at 21 or 28 dpe (S3 Table). At 28 dpe, no infected body was observed in the F0_SG population (S3 Table), while IR in the F0_SPh population was estimated at 25% (10.18–49.50%), and was significantly higher than in F0_SM and F0_SA population (IR = 0.00%; 0.00–7.41% for both populations; and p-values = 0.009 for both comparisons). No dissemination or transmission was observed for the different populations and dpe considered (S3 Table). For Ae. aegypti, IR was 8.57% (2.96–22.38%) at 14 dpe, and, unlike Ae. albopictus populations, virus dissemination was observed (DE = 2.86%; 0.51–14.53%) for the DENV-2_EVAg strain. However, as with the Ae. albopictus populations, no transmission was observed at 14 dpe for Ae. aegypti (S3 Table).
Transmission of the DENV-1 strain by Aedes albopictus populations
We examined the vector competence of four Ae. albopictus populations of F0 generation (F0_SM, F0_SA, F0_SG and F0_SPh) and three populations of F2 generation (F2_SC, F2_BP and F2_TB), as well as a laboratory colony of Ae. aegypti, at 14, 21, and 28 dpe after exposure to the DENV-1 strain (Fig 2 and Table 2).
Table 2. Vector competence parameters of Aedes albopictus and Aedes aegypti populations exposed to the DENV-1 strain.
Population | 14 dpe | 21 dpe | 28 dpe | ||||||
---|---|---|---|---|---|---|---|---|---|
IR | DE | TE | IR | DE | TE | IR | DE | TE | |
F0_SM | 28.13% [15.56–45.37%] (9/32) |
3.13% [0.55–15.74%] (1/32) |
3.13% [0.55–15.74%] (1/32) |
27.08% [16.57–41.00%] (13/48) |
25.00% [14.92–38.78%] (12/48) |
14.58% [7.25–27.17%] (7/48) |
20.83% [11.73–34.26%] (10/48) |
20.83% [11.73–34.26%] (10/48) |
12.50% [5.86–24.70%] (6/48) |
F0_SA | 31.25% [17.95–48.57%] (10/32) |
15.63% [6.86–31.75%] (5/32) |
9.38% [3.24–24.22%] (3/32) |
18.75% [10.19–31.94%] (9/48) |
16.67% [8.70–29.58%] (8/48) |
10.42% [4.53–22.17%] (5/48) |
9.38% [3.24–24.22%] (3/32) |
6.25% [1.73–20.15%] (2/32) |
3.13% [0.55–15.74%] (1/32) |
F0_SG | 9.38% [3.24–24.22%] (3/32) |
0.00% [0.00–10.72%] (0/32) |
0.00% [0.00–10.72%] (0/32) |
37.50% [25.22–51.64%] (18/48) |
12.50% [5.86–24.70%] (6/48) |
4.17% [1.15–13.98%] (2/48) |
31.25% [19.95–45.33%] (15/48) |
12.50% [5.86–24.70%] (6/48) |
6.25% [2.15–16.84%] (3/48) |
F0_SPh | 15.63% [6.86–31.75%] (5/32) |
6.25% [1.73–20.15%] (2/32) |
0.00% [0.00–10.72%] (0/32) |
37.50% [25.22–51.64%] (18/48) |
12.50% [5.86–24.70%] (6/48) |
2.08% [0.37–10.90%](1/48) |
14.58% [7.25–27.17%] (7/48) |
12.50% [5.86–24.70%] (6/48) |
8.33% [3.29–19.55%] (4/48) |
F2_SC | 40.63% [25.52–57.74%] (13/32) |
12.50% [4.97–28.07%] (4/32) |
0.00% [0.00–10.72%] (0/32) |
52.63% [37.26–67.52%] (20/38) |
42.11% [27.85–57.81%] (16/38) |
21.05% [11.07–36.35%] (8/38) |
ND | ND | ND |
F2_BP | 64.58% [50.44–76.57%] (31/48) |
25.00% [14.92–38.78%] (12/48) |
2.08% [0.37–10.90%] (1/48) |
68.75% [54.67–80.05%] (33/48) |
64.58% [50.44–76.57%] (31/48) |
35.42% [23.43–49.56%] (17/48) |
57.14% [45.48–68.06%] (40/70) |
55.71% [44.08–66.75%] (39/70) |
32.86% [23.00–44.50%] (23/70) |
F2_TB | 54.17% [40.29–67.42%] (26/48) |
14.58% [7.25–27.17%] (7/48) |
0.00% [0.00–7.41%] (0/48) |
45.83% [32.58–59.71%] (22/48) |
45.83% [32.58–59.71%] (22/48) |
20.83% [11.73–34.26%] (10/48) |
68.42% [57.30–77.77%] (52/76) |
67.11% [55.94–76.62%] (51/76) |
40.79% [30.44–52.02%] (31/76) |
F37_Aeg | 62.50% [45.25–77.07%] (20/32) |
6.25% [1.73–20.15%] (2/32) |
0.00% [0.00–10.72%] (0/32) |
52.08% [38.33–65.53%] (25/48) |
41.67% [28.85–55.72%] (20/48) |
12.50% [5.86–24.70%] (6/48) |
66.67% [48.78–80.77%] (20/30) |
53.33% [36.14–69.77%] (16/30) |
16.67% [7.34–33.56%] (5/30) |
All populations were susceptible to DENV-1 infection (Fig 2A and Table 2): IRs values ranged from 9.38% (3.24–24.22%) to 64.58% (50.44–76.57%) at 14 dpe, from 18.75% (10.19–31.94%) to 68.75% (54.67–80.05%) at 21 dpe, and from 9.38% (3.24–24.22%) to 68.42% (57.30–77.77%) at 28 dpe (Fig 2A and Table 2). Statistical analysis of IR showed that the explanatory parameters "dpe", and "area" were not retained in the minimal models of the three GLMs, and therefore had no effect on the IR values (Table 3). Only the "generation" parameter showed a significant influence on IR (GLM3, X2 = 51.024, df = 1, p-value < 0.0001), with a higher IR for populations of F2 generation (IR = 58.09%; 53.25–62.78%) than for populations of F0 generation (IR = 24.19%; 20.63–28.15%; p-value < 0.0001, S4 Table) but no significant difference was noted between populations of the same generation (all p-values > 0.05).
Table 3. Statistical analyses of vector competence parameters of Ae. albopictus populations infected with the DENV-1 strain.
Maximal model | Parameters retained in the minimal model | Generation | IR | DE | TE | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
X2 | d.f. | p-value | X2 | d.f. | p-value | X2 | d.f. | p-value | ||||
GLM1 | population of F0 generation + dpe | population | F0 | - | - | - | - | - | - | - | - | - |
dpe | - | - | - | - | - | - | - | - | - | |||
GLM2 | population of F2 generation + dpe | population | F2 | - | - | - | - | - | - | - | - | - |
dpe | - | - | - | 30.485 | 2 | <0.0001 | 60.324 | 2 | 0.0001 | |||
GLM3 | (generation + dpe + area)^2 | generation x dpe | All | - | - | - | - | - | - | 154.34 | 2 | <0.0001 |
generation x area | - | - | - | - | - | - | 38.09 | 2 | <0.0001 | |||
dpe x area | - | - | - | - | - | - | 185.61 | 6 | <0.0001 | |||
generation | 51.024 | 1 | <0.0001 | 61.320 | 1 | <0.0001 | 461.31 | 1 | <0.0001 | |||
dpe | - | - | - | 29.334 | 2 | <0.0001 | 811.59 | 2 | <0.0001 | |||
area | - | - | - | - | - | - | 47.41 | 3 | <0.0001 |
All Ae. albopictus populations, as well as the Ae. aegypti colony, were able to disseminate DENV-1 (Fig 2B and Table 2). Similar to IR, pairwise comparisons revealed significantly higher DE for populations of F2 generation compared to those of F0 generation, but only at 21 and 28 dpe (S4 Table), and no significant difference was noted between populations of the same generation (all p-values P > 0.05). Analyzing both generations separately, DE were not different between populations ("population" parameters not retained in the GLM1 and GLM2 minimal models; Table 3), whereas the "generation" parameter showed a significant influence (GLM3, X2 = 61.320, df = 1, p-value < 0.0001) with higher mean DE for populations of F2 generation (DE = 44.61%; 39.86–49.46%) than for populations of F0 generation (DE = 12.90%; 10.24–16.14%; p-value < 0.0001). In contrast to IR, statistical analyses showed a significant effect of dpe, with DE increasing over time for populations of F2 generation (GLM2, X2 = 30.485, df = 2, p-value < 0. 0001) from 17.97% (12.28–25.52%) at 14 dpe to 51.49% (43.11–59.79%) at 21 dpe or to 61.64% (53.55–69.14%) at 28 dpe (pairwise comparison, p-value = 0.0003 and p-value < 0.0001, respectively). For populations of F0 generation, no effect of "dpe" was observed (GLM1, Table 3), with mean DEs ranging from 3.13% (0.55–15.74%) to 15.63% (6.86–31.75%) at 14 dpe, from 12.50% (5.86–24.70%) to 25.00% (14.92–38.78%) at 21 dpe, and from 6.25% (1.73–20.15%) to 20.83% (11.73–34.26%) at 28 dpe (Table 2). When both generations are analyzed together, “dpe” significantly influenced DE (GLM3, X2 = 29.334, df = 2, p-value < 0.0001) with DE significantly increasing between 14 dpe (DE = 12.11%; 8.66–16.68%) and 21 dpe (DE = 30.98%; 26.21–36.20%) or 28 dpe (DE = 35.40%; 30.38–40.77%) (pairwise comparison, p-value = 0.0001 and p-value < 0.0001, respectively). Finally, and as for the IR, the “area” parameter was not retained in the GLM3 minimal model, demonstrating no influence on the DE values (Table 3).
The Ae. albopictus populations and the Ae. aegypti colony tested were all able to transmit the DENV-1 strain tested at 21 dpe, with F0_SM, F0_SA and F2_BP populations containing infectious virus particles in the saliva as soon as 14 dpe (Fig 2C and Table 2). As with the DE, significantly higher TE was found for populations of F2 generation compared to populations of F0 generation at both 21 and 28 dpe (S4 Table), but no significant difference was noted between populations of the same generation (all p-values > 0.05). Only the “dpe” parameter was retained in the GLM2 minimal model (GLM2, X2 = 60.324, df = 2, p-value < 0.0001), with a significantly lower TE for the populations of F2 generation at 14 dpe (TE = 0.78%; 0.14–4.29%) than at 21 dpe (26.12%; 19.42–34.15%, p-value = 0.002) or than at 28 dpe (36.99%; 29.58–45.06%, p-value = 0.0003). TE were not significantly different between the populations of F0 generation (GLM1) and ranged from 3.13% (0.55–15.74%) to 9.38% (3.24–24.22%) at 14 dpe, from 2.08% (0.37–10.90%) to 14.58% (7.25–27.17%) at 21 dpe, and from 3.13% (0.55–15.74%) to 12.50% (5.86–24.70%) at 28 dpe (Fig 2C and Table 2). For the GLM3, all the explanatory parameters and their two-by-two interactions were retained in the minimal model (Table 3). Post-hoc analyses showed differences in TE between generations within certain areas. In the West, the population of F2 generation had a significantly higher TE (TE = 23.84%; 18.09–30.73%) than that of F0 generation (TE = 3.91%; 1.68–8.82%; p-value < 0.0001). In the East, the population of F2 generation had a significantly higher TE (TE = 25.90%; 19.84–33.06%) than that of F0 generation (TE = 8.04%; 4.29–14.57%; p-value < 0.0001). Moreover, TE increased over time according to the area with, for example, a mean TE for the northern populations increasing significantly between 14 dpe (TE = 1.56%; 0.28–8.33%) and 21 dpe (TE = 17.44%; 10.86–26.80%; p-value < 0.0001) and between 14 and 28 dpe (TE = 12.50%; 5.86–24.70%; p-value < 0.0001). The Ae. aegypti colony presented similar TEs to Ae. albopictus with 12.50% (5.86–24.70%) and 16.67% (7.34–33.56%) at 21 and 28 dpe, respectively (Fig 2C and Table 2).
We also tested the influence of the sampling period on vector competence to the DENV-1 strain by comparing IRs, DEs and TEs at 14, 21 and 28 dpe between two populations collected in the same location (F0_SM) a month apart. No significant difference was observed between the two populations for either IRs (p-values > 0.760, for all the dpe tested), DEs (p-values > 0.356), or TEs (p-values > 0.425) (see S5 Table for all proportion data).
No effect of Wolbachia on the replication of DENV-1 in Aedes albopictus
We measured the density of Wolbachia strains wAlbA, wAlbB and of both strains (wAlbTot, i.e. wAlbA + wAlbB) in individual Ae. albopictus mosquitoes (N = 75) from the four populations of F0 generation (F0_SM, F0_SG, F0_SPh, F0_SA) previously exposed to DENV-1 infectious blood meals and collected at 21 and 28 dpe. These two dpe were selected because they showed higher values of vector competence parameters in particular DE and TE (see Fig 2), thus allowing testing the correlation between Wolbachia densities and vector competence referred as IDT scores (S1 Table). The wAlbA strain presented a significantly higher density than the wAlbB strain in the four populations (Mann_Whitney tests; p-value = 0.002 for F0_SM and for F0_SA; p-value < 0.001 for F0_SG and for F0_SPh), with median densities per population ranging from 2.20 (0.70–2.20) to 9.00 (3.90–24.80) bacteria/cell for wAlbA and from 0.40 (0.23–0.60) to 1.95 (1.40–2.30) bacteria/cell for wAlbB (S6 Table). The density of both Wolbachia strains varied according to mosquito populations (S6 Table), with the lowest densities observed in the F0_SG population, followed by the F0_SPh population and higher densities in the F0_SM and F0_SA populations (S2 Fig and S6 Table).
To examine the influence of Wolbachia density on Ae. albopictus vector competence, the samples from the four populations and from both 21 and 28 dpe were gathered (since no significant difference was found between dpe and between populations for F0 generation, i.e. GLM1, see Table 3). They were then classified according to their IDT score (N = 12 to 19 mosquitoes per IDT score, S7 Table). No significant difference in Wolbachia density was observed between the IDT score 0 (i.e. no infection) and all three other IDT groups (1, 2 and 3) gathered (i.e. with at least one infected tissue) either for wAlbA (Mann_Whitney test, p-value = 0.609), wAlbB (p-value = 0.613), or wAlbTot (p-value = 0.696), suggesting that Wolbachia density did not affect the ability of mosquitoes to become infected after exposure to DENV-1 (S3 Fig, S7 Table). Similarly, no significant difference was found by comparing the Wolbachia density between the score IDT 1 on one hand, and the scores 2 and 3 gathered on the other hand (S7 Table) (Mann_Whitney tests; p-value = 0.434 for wAlbA; p-value = 0.066 for wAlbB; p-value = 0.494 for wAlbTot), suggesting that Wolbachia density did not affect the ability of mosquitoes to disseminate the DENV-1 after being infected (S3 Fig). Wolbachia density had also no impact on the ability of mosquitoes to transmit DENV-1 after dissemination in the heads, a result highlighted by the absence of any significant difference between the Wolbachia density of IDT scores 2 and 3 (S7 Table) (Mann_Whitney tests; p-value = 0.151 for wAlbA; p-value = 0.238 for wAlbB; p-value = 0.113 for wAlbTot) (S3 Fig).
Finally, we examined the correlation between Wolbachia density (wAlbTot i.e. wAlbA+wAlbB) and the number of DENV-1 RNA copies in the bodies of the infected mosquitoes (N = 43 positive samples for DENV-1). The median DENV-1 RNA copies per body in the examined populations ranged from 2.72×105 (5.05×104−7.71×105) to 1.40×107 (3.41×101–4.01×107) (S8 Table). Firstly, we compared the Wolbachia density (Fig 3A) or the DENV-1 viral load (Fig 3B) between the four populations. The mosquito population showed a significant effect on the median Wolbachia density (Kruskal-Wallis test, X2 = 16.86, d.f. = 3, p-value < 0.001) and on the median number of DENV-1 RNA copies (Kruskal-Wallis test, X2 = 13.48, d.f. = 3, p-value = 0.004). Although both Wolbachia density and DENV-1 viral load vary significantly according to mosquito populations (Fig 3A and 3B), no significant correlation between the two parameters was noted (Pearson correlation coefficient test, cor = -0.190, 95% CI = [-0.464;0.117], t = -1.236, d.f. = 41, p-value = 0.224) (Fig 3C), suggesting a lack of association between Wolbachia density and DENV-1 viral load.
Discussion
In this study, we examined the vector competence of Ae. albopictus populations from Reunion Island exposed to local epidemic DENV-1 and DENV-2 strains that had been previously isolated and genetically characterized [43,44]. The mosquito populations used for experimental infections were collected in different geographic areas across Reunion Island and were of F0, F1 and F2 generations. The use of F0 populations allowed experimental conditions to be as close as possible to those of natural mosquito populations. We also assessed the vector competence of a laboratory colony of Ae. aegypti as control because this species is considered as the primary DENV vector [5,7,54–58]. In general, no significant difference between vector competence of Ae. albopictus populations and the Ae. aegypti colony was observed, in agreement with the results of Florida mosquito populations exposed to a DENV-1 strain [59], or of China vector populations exposed with DENV-2 strains [60].
Contrasting results were observed when Ae. albopictus populations were exposed to DENV-1 and DENV-2 strains. None of the tested populations was able to transmit the DENV-2 strains, while the DENV-1 strain was transmitted by all populations with TEs reaching 40.8% (in the F2_TB population at 28 dpe). Our results are different from those observed with Ae. albopictus populations from other geographic regions which generally show higher levels of transmission with DENV-2 strains compared to DENV-1 strains [61]. For instance, higher viral loads were described in saliva of an Ae. albopictus population from Vietnam exposed to DENV-2 compared to specimens infected with DENV-1 [58]. The results observed in Ae. aegypti are quite similar to those described in Ae. albopictus with no transmission of DENV-2 strains, while TEs of 12.5% and 16.7% were observed with DENV-1 at 21 and 28 dpe, respectively (the means TEs for Ae. albopictus being 15.5% and 17.3% at 21 and 28 dpe, respectively). The observed difference in the transmission of the two DENV serotypes by Ae. albopictus and Ae. aegypti mosquitoes could be explained by two non-exclusive hypotheses. Firstly, the viral titres in infectious blood meals were higher for the DENV-1 strain (7×106 PFU/ml) than for the DENV-2 strains (between 6.8×104 PFU/ml and 3.2×105 PFU/ml), and viral titres in blood meals are known as a factor affecting the vector competence of mosquitoes [58,62–64]. Secondly, the difference in vector competence between DENV-1 and DENV-2 strains could be linked to a greater replicative fitness or affinity of the DENV-1 local strain with the Ae. albopictus and Ae. aegypti from Reunion Island compared to the two DENV-2 strains. It is recognized that vector competence for a given virus is the result of interactions between a viral strain, a mosquito population and a given environment [41,56,60,63,65–67]. For example, the substitution of E1-226A by E1-226V in the E1 structural protein of the Chikungunya virus has been associated with increased virus replication and transmission in Ae. albopictus, contributing to the unprecedented Chikungunya epidemic in Reunion island and other islands in South-Western Indian Ocean in 2005–2006 [68,69]. The hypothesis of a better replicative fitness is reinforced by a previous investigation with Colombian DENV strains showing a greater replicative fitness of DENV-1 compared to DENV-2 in the human hepatocyte cell line (Huh-7) [70]. It would be interesting in future investigations to compare replicative fitness of DENV-1 and DENV-2 strains from Reunion Island in human cell lines, Ae. albopictus cell lines as well as in Ae. albopictus populations using identical viral titres for both DENV serotypes.
Among the four explanatory parameters including “population”, “dpe”, “generation”, and “area” that can affect the three vector competence parameters (IR, DE, and TE), three parameters (“dpe”, “generation”, and “area”) showed a significant effect. Concerning the “dpe”, a global increase of IRs, DEs and TEs occurred over time, higher values being observed in older mosquitoes in particular at 28 dpe compared to 21 and 14 dpe. This result reflects the kinetics of replication of arboviruses inside mosquitoes, from the initial midgut infection to the release of infectious viral particles in saliva following a dissemination phase in all the tissues [71]. The other significant parameter was the “generation”, with higher vector competence parameters observed in mosquito populations of F2 generation than that of F0 generation. The effect of generation on vector competence could be explained by a reduced genetic diversity in mosquitoes reared in the laboratory due to a founder effect. The rearing of mosquitoes in the laboratory for two generations could alter the mosquito genetic diversity as well as their microbiota [63,72–75]. Indeed, mosquito microbiota, in particular midgut bacteria, have been shown to modulate vector competence in several mosquito species [57,63,76–81] including Ae. albopictus [82]. This result shows the importance of working with mosquito populations of F0 generation to better understand the transmission patterns of arboviruses in the field. It will be interesting in future studies to examine the evolution of vector competence, genetic diversity and microbiota in mosquitoes from the same populations across several generations. Finally, as the geographic distribution of dengue cases is often heterogeneous across the island, with the western and the southern parts being the most affected compared to the northern, eastern and central parts [22], mosquito populations used in this study were collected in areas of high (West and South) and low (North and East) DENV transmission. Our data indicated a significant influence of the area of collection on TEs alone, but also in interaction either with the “dpe” parameter or with the “generation” parameter. However, the number of mosquito populations from each area was too low (between one and three populations) to conclude whether the geographic origin of mosquitoes affects the vector competence.
We examined whether the density of the Wolbachia strains wAlbA and wAlbB, naturally occurring in the Ae. albopictus from Reunion Island, affect vector competence and DENV-1 replication inside the mosquitoes, since Wolbachia have been shown to affect the replication and transmission of pathogens such as DENV, Chikungunya virus, or Zika virus in mosquito vectors [83–89]. For all examined populations, the density of the strain wAlbA was higher than that of the strain wAlbB in accordance with results described in populations from Thailand [90] and Madagascar [91]. However, other studies have reported a higher density of wAlbB strain than wAlbA in Ae. albopictus populations from China [41,92], Taiwan [40], Greece and Corsica [93], and Thailand [90]. We observed variations in Wolbachia density between populations, the F0_SG population (from the West) exhibited the lowest Wolbachia density, followed by the F0_SPh population (from the South), the F0_SM population (from the North), and the F0_SA population (from the East) with the highest Wolbachia density. We also described a variation in the quantity of DENV-1 viral RNA copies in the bodies of infected mosquitoes according to their population of origin. However, no significant correlation was observed between Wolbachia density and DENV-1 viral load, and no difference in Wolbachia density was found between IDT scores, suggesting that Wolbachia did not influence vector competence parameters (i.e. infection, dissemination or transmission) of Ae. albopictus populations exposed to DENV-1. Although it has been previously shown that the Wolbachia strains infecting Ae. albopictus can affect the vector competence towards DENV [35,40,41], this interference could depend on the mosquito populations and DENV strains.
Conclusion
Our study demonstrates that Ae. albopictus populations from Reunion Island are experimentally competent for transmitting the local DENV-1 epidemic strain, but not the DENV-2 strains. However, the low viral titres of DENV-2 used in the experiments suggest that these results should be interpreted with caution. We observed a significant effect of generation on vector competence parameters, with F0 generation exhibiting significantly lower infection rates, dissemination efficiencies and transmission efficiencies compared to F2 generation mosquitoes. No significant correlation was found between Wolbachia density and either vector competence parameters or viral loads of DENV-1 in infected Ae. albopictus mosquitoes. Taken together, our findings highlight the importance of using natural mosquito populations and considering various parameters for enhance the understanding of DENV transmission by mosquito vectors in the field.
Supporting information
Acknowledgments
We thank Clément De-Graaf for his help for mosquitoes’ sampling in the field. We are grateful to Alicia Lecuyer and Céline Toty for their help for mosquitoes’ collections in the field and rearing in the lab.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This work was supported by the European Regional Development Fund (ERDF) PO through the RUNDENG, project number 20202640-0022937. SH and TB were supported by a PhD degree scholarship from Reunion University (Ecole doctorale STS) funded by DIRED/20181182 from the Conseil Régional de La Réunion.
References
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