Skip to main content
Advertisement
  • Loading metrics

Transmission potential of Culex and Aedes species for Madariaga virus, a member of the eastern equine encephalitis virus complex

  • Danilo de Carvalho-Leandro,

    Roles Data curation, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – review & editing

    Affiliations Department of Entomology, Texas A&M University, College Station, Texas, United States of America, Colégio de Aplicação, Universidade Federal de Pernambuco, Recife, Brazil

  • Francisco C. Ferreira,

    Roles Formal analysis, Investigation, Methodology, Validation, Writing – review & editing

    Current address: ANSES, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons-Alfort, France.

    Affiliation Department of Entomology, Texas A&M University, College Station, Texas, United States of America

  • Nadia Fernández Santos,

    Roles Resources, Validation, Writing – review & editing

    Affiliations Department of Entomology, Texas A&M University, College Station, Texas, United States of America, Instituto Politécnico Nacional, Centro de Biotecnología Genómica, Reynosa, Mexico

  • William J. Sames IV,

    Roles Data curation, Investigation, Methodology, Resources, Validation, Writing – review & editing

    Affiliation Leakey, Texas, United States of America

  • Yuexun Tian,

    Roles Data curation, Methodology, Resources, Validation, Writing – review & editing

    Affiliation Department of Entomology, Texas A&M University, College Station, Texas, United States of America

  • Martial L. Ndeffo-Mbah,

    Roles Formal analysis, Validation, Writing – review & editing

    Affiliation Department of Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, United States of America

  • Erica A. Costa,

    Roles Data curation, Resources, Validation, Writing – review & editing

    Affiliation Research Laboratory in Animal Virology, Veterinary School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

  • Michael J. Turell,

    Roles Formal analysis, Investigation, Methodology, Validation, Writing – review & editing

    Affiliation VectorID LLC, Frederick, Maryland, United States of America

  • Gabriel L. Hamer,

    Roles Investigation, Resources, Supervision, Validation, Writing – review & editing

    Affiliation Department of Entomology, Texas A&M University, College Station, Texas, United States of America

  • Tereza Magalhaes

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    tereza.magalhaes@ag.tamu.edu

    Affiliation Department of Entomology, Texas A&M University, College Station, Texas, United States of America

?

This is an uncorrected proof.

Abstract

Madariaga virus (MADV), widely distributed in Latin America, can cause severe disease in humans and equids, yet key aspects of its transmission cycle remain unclear. To identify mosquitoes that could act as vectors of MADV, we assessed the vector competence of Aedes aegypti, Ae. albopictus, Ae. taeniorhynchus, Culex tarsalis, Cx. coronator, and Cx. quinquefasciatus, following oral exposure to MADV isolated in Panama (all species) or Brazil (Ae. taeniorhynchus only). We also evaluated temporal infection dynamics of MADV from Panama in Ae. aegypti and Ae. albopictus. MADV RNA and infectious virus were quantified in mosquito bodies, legs, and saliva. At 14 days post-exposure, five of the six species tested had virus detected in all biological sample types, indicating their potential to become infected with and transmit MADV. Conversely, Cx. quinquefasciatus was susceptible to midgut infection and dissemination but had no positive saliva samples, suggesting limited transmission potential. Aedes taeniorhynchus showed higher infection probabilities with MADV from Brazil compared with MADV from Panama. Time-course analysis revealed distinct infection dynamics in Ae. aegypti and Ae. albopictus, with infection increasing over time in Ae. aegypti, but peaking at 7 days post-exposure and then gradually declining in Ae. albopictus. Our findings indicate that MADV may be compatible with multiple mosquito species with broad geographic distributions, reinforce the need to investigate species- and strain-specific mosquito-virus interactions and their influence on arbovirus transmission dynamics, and support a potential role for Ae. taeniorhynchus as an amplification and bridge vector in endemic regions.

Author summary

Madariaga virus (MADV) is a mosquito-borne virus found throughout Latin America that can cause severe disease in humans and equids, yet its mosquito vectors are not well defined. Identifying mosquitoes capable of transmitting MADV is important for understanding its transmission cycles and anticipating outbreaks. Here, we evaluated whether six mosquito species commonly found in the Americas – Aedes aegypti, Ae. albopictus, Ae. taeniorhynchus, Culex coronator, Cx. quinquefasciatus, and Cx. tarsalis – can become infected with MADV and potentially transmit it. Our results indicate that five of the species tested might be able to act as vectors, as demonstrated by the presence of infectious virus in their saliva, whereas Cx. quinquefasciatus showed no detectable virus in saliva despite becoming infected. We also evaluated temporal infection patterns in Ae. aegypti and Ae. albopictus and observed that infection increased over time in Ae. aegypti, but peaked and then declined in Ae. albopictus. Lastly, Ae. taeniorhynchus was more efficiently infected with a MADV strain from Brazil than with a strain from Panama. Overall, these findings suggest that MADV might be compatible with multiple mosquito species in the field and highlight the importance of mosquito-virus interactions at both species and strain levels.

1. Introduction

Madariaga virus (MADV), an encephalitic alphavirus belonging to the eastern equine encephalitis virus (EEEV) complex, is prevalent in Latin America and a potential emerging pathogen [1]. The virus circulates in enzootic cycles involving sylvatic mosquito vectors and vertebrate animals and can cause disease in equids and humans during spillover events. Case fatality rates among equines can reach >90% during epizootics [1], and severe and fatal human cases due to MADV infection have been documented [26].

The vectors of MADV remain unknown, and different mosquito species likely act as vectors across the various biomes where the virus circulates in Latin America [1]. Nonetheless, field and laboratory data have helped identify potential candidates. In the field, MADV has been isolated from several mosquito species, with isolations from Culex (Melanoconion) spp. being more frequent [1, 712]. The virus has also been detected in Aedes taeniorhynchus on more than one occasion, including during an equine epizootic in Brazil in 1960 [11,13], suggesting this species may act as an amplification and bridge vector during outbreaks in certain regions. A limitation in these field studies is the lack of information about the physiological status of mosquitoes (i.e., whether females were engorged or not), raising the possibility that virus detection could have been from traces of infected host’s blood and not from infected mosquito tissues.

As for laboratory studies, to date only one vector competence study has been published on MADV. In that study, mosquito species collected in the Peruvian Amazon were tested for their ability to transmit the virus using a live animal model [14]. The following species were shown to be competent vectors: Cx. (Mel.) pedroi, Ae. (Ochlerotatus) fulvus, Psorophora (Janthinosoma) albigenu, Ps. (Grabhamia) cingulata, Ae. (Och.) serratus, and Ps. (Jan.) ferox.

Given the limited data on the identification of MADV vectors, we assessed the ability of selected mosquito species – most of which had not been previously tested – to transmit the virus following oral exposure. Species selection included one or more of the following criteria: 1) high abundance across various geographic regions within the Americas; 2) known role as a vector of arboviruses; 3) feeding habit on mammalian hosts indicating ability to act as bridge vectors; 4) evidence for having a potential role in enzootic or epizootic MADV transmission; and 5) experimental feasibility. The species tested were Cx. coronator, Cx. quinquefasciatus, Cx. tarsalis, Ae. aegypti, Ae. albopictus, and Ae. taeniorhynchus.

2. Methods

2.1. Mosquitoes

The vector competence for MADV was evaluated in six mosquito species: Aedes aegypti, Ae. albopictus, Ae. taeniorhynchus, Culex coronator, Cx. tarsalis, and Cx. quinquefasciatus.

Aedes aegypti and Ae. albopictus eggs were collected in September 2023 in Hidalgo County and Brazos County, Texas, respectively, using ovitraps. Adult Ae. taeniorhynchus were collected in August 2024 in Hidalgo County, Texas, using modified CDC light traps. Culex coronator larvae were collected in October 2024 in Leakey, Texas, using a larval dipper. Culex tarsalis and Cx. quinquefasciatus were obtained from established colonies maintained at Colorado State University. All specimens were transported to insectaries at Texas A&M University and reared under controlled conditions (28oC, 70% humidity, 12:12 h light/dark cycle) with ad libitum access to 10% sucrose and water. Adults of Ae. taeniorhynchus and Cx. coronator parental generation (F0), and F2-F3 adults of Ae. aegypti and Ae. albopictus were used in the experiments. Culex tarsalis and Cx. quinquefasciatus adult females used in the experiments were of unknown generation. All mosquitoes were 4–6 days old at the time of virus exposure, except for Ae. taeniorhynchus, which were collected as adults from the field and used directly in the experiments, therefore these were of unknown age.

Mosquito specimens brought from the field (F0) and the first filial generation (F1) were reared in the Arthropod Containment Level (ACL)-2 room; after that, mosquitoes were reared in ACL-1 rooms.

2.2. Viruses

MADV-PAN (Lineage III; GenBank: KJ469648), isolated from a horse during a 2010 outbreak in Panama, was provided by the World Reference Center for Emerging Viruses and Arboviruses at the University of Texas Medical Branch, and used to expose all mosquito species. Passage 3 MADV-PAN was received lyophilized and subsequently resuspended in cell culture medium. MADV-BR (Lineage III; GenBank: MZ389692), isolated by our group in 2019 from the central nervous system of a deceased horse during an epizootic in Northeast Brazil [15], was used to expose Ae. taeniorhynchus only. Passage 9 MADV-BR was received as frozen aliquots. The two strains share 95% nucleotide and 99% amino acid identity.

MADV-PAN and MADV-BR were propagated in Vero cells (CCL-81, ATCC) maintained at 37oC with 5% CO2 in complete Dulbecco’s Modified Eagle Medium (DMEM) containing 5% fetal bovine serum (FBS). Virus stocks were generated by infecting 80% confluent monolayers and harvesting cells and supernatant at 36 h post-infection, when cytopathic effect reached 80–90%. The collected material was centrifuged (1,000xg, 5 min, 4oC), and the supernatant was aliquoted and stored at -80oC. Final stock titers were 1.6 x 107 plaque-forming units (PFU)/mL for MADV-PAN (passage 5) and 4.0 x 107 PFU/mL for MADV-BR (passage 11). For mosquito infections, viruses were propagated using the same methodology, but fresh supernatant was mixed with blood immediately after centrifugation.

Because MADV is a Biosafety Level 3 (BSL-3) pathogen, all procedures involving the virus were conducted in BSL-3 and ACL-3 laboratories under protocol IBC2022–075, approved by the Texas A&M University Institutional Biosafety Office.

2.3. Mosquito exposure

Adult female mosquitoes were transferred to the ACL-3 and acclimated for 1–2 days in a growth chamber (28oC, 70% humidity, 12:12 h light/dark cycle). Groups of 200–400 mosquitoes were starved for 24 h, then offered a 1:1 mixture of defibrinated calf blood (Colorado Serum Company) and freshly harvested MADV-PAN or MADV-BR through a glass membrane feeder apparatus. Mosquitoes were allowed to feed for 30 min, after which engorged females were sorted, transferred to 473 mm3-cartons, and maintained with 10% sucrose and water for up to 21 days. An aliquot of the blood:virus mixture was kept at 37oC during feeding and later stored at -80oC for bloodmeal titration. Two independent experimental replicates were performed per mosquito species, and per Ae. taeniorhynchus exposure with each virus strain.

2.4. Sample collection

Thirteen to 30 MADV-exposed mosquitoes per group, and per time point for Ae. aegypti and Ae. albopictus, were sampled in each experimental replicate. Bodies, legs (all six legs from each mosquito were combined into a single sample), and saliva were collected and stored individually for RNA and infectious virus quantification. Collections were performed at 14 days post-exposure (dpe) for all species, and additionally at 3, 7, and 21 days for Ae. aegypti and Ae. albopictus. For sample collection, females were anesthetized (2oC), and legs were removed and placed in microcentrifuge tubes with 250 µL mosquito diluent (PBS with 20% FBS, antibiotics, and antimycotic) and borosilicate beads. Wings were discarded. Saliva was collected at room temperature by forced salivation, by inserting the proboscis into glass capillaries containing immersion oil type B. After 30 min of salivation, capillaries were individually transferred to microcentrifuge tubes with 80 µL mosquito diluent and centrifuged (11,000xg, 3 min, 2oC). Mosquito bodies were then placed in microcentrifuge tubes with 250 µL mosquito diluent and borosilicate beads. Leg and body samples were homogenized for 1 min at 30 Hz in a TissueLyzer II. All samples were stored at -80oC. For molecular and plaque assays, samples were thawed and centrifuged (11,000xg, 3 min, 2oC).

2.5. RNA extraction and reverse transcription quantitative PCR (RT-qPCR)

RNA was extracted from virus stocks, bloodmeal samples, and mosquito biological samples using the Mag-Bind Viral DNA/RNA Kit (Omega Bio-tek) on a KingFisher Flex System with 96-deep well head, following the manufacturers’ instructions. A 50-µL sample volume was used, and RNA was eluted in 50 µL of ultra-pure water. For RNA extraction, virus stocks were first serially diluted in 10-fold dilutions (undiluted to 10-9) in 5% DMEM, and bloodmeal and mosquito samples were processed after stored material was thawed and centrifuged.

The following primers and probe targeting MADV nsP2 (nt 1776–1892) were designed using IDT PrimerQuest: forward (5’-3’) – GGCTGAACAGGTGCTAGTTAT; reverse (5’-3’) – CTATTCCAATCCCGGACTTTCA; probe (5’-3’) – CGCGCCGGTAGGTACAAAGTAGAA (6-FAM/ZEN/3’ IB FQ). Amplicon size was 117 bp. Reactions were prepared using the iTaq Universal Probes One-Step Kit (Bio-Rad). Thermocycling was performed on a Bio-Rad CFX96 under the following conditions: 50oC for 10 min, 95oC for 2 min; 40 cycles of 95oC for 15 sec and 60oC for 30 sec. Each run included a MADV RNA standard curve (10-2-10-6) and a no-template (water) control. A cycle threshold (Ct) ≤38 was considered positive.

2.6. Plaque assays

To confirm the presence of infectious virus in the samples, all saliva and 50% of body and leg RT-qPCR-positive samples were tested by plaque assay. Virus stocks and bloodmeal contents were also assayed. For that, Vero cells at 80% confluency in 24-well plates were inoculated with samples (150 µL-volume, with samples brought up to 150 µL with plain DMEM when the original sample volume was lower), followed by 1 h adsorption and subsequent addition of overlay medium (1:1 Tragacanth medium:2x 8% DMEM). After a 3-day incubation at 5% CO2 and 37oC, the overlay medium was removed, and the monolayer was fixed and stained with 0.1% crystal violet in 20% ethanol. Plates were allowed to dry and plaques were counted to calculate PFU/mL based on dilution factors. Bloodmeal samples were plated in duplicate for each dilution (10-2-10-6); body and leg samples were plated in one replicate per dilution (10-2 and 10-3); and saliva samples (post-RNA extraction, approximately 15 µL, brought to a final volume of 150 µL with DMEM) were plated at a 10-1 dilution in a single well. Negative controls (medium only) were included in each plate. Fifteen RT-qPCR-negative samples per tissue type were randomly selected and also assayed.

2.7. Data analysis

All data analyses were conducted in SAS Studio, whereas graphs were generated in GraphPad Prism 10.5.0.

2.7.1. Midgut infection, dissemination, and transmission rates.

First, midgut infection, dissemination, and transmission rates were calculated. Midgut infection rates were calculated as the number of RT-qPCR-positive body samples divided by the total number of body samples tested (per species, timepoint, and replicate), multiplied by 100. Body samples were used as a proxy for midgut infection and the term “midgut infection” is used hereafter to refer to body data in this analysis. Dissemination rates were calculated in the same manner but using data from leg samples. Legs were used as a proxy for dissemination because detection of virus in the legs indicates that the virus has escaped the midgut and entered the hemolymph, enabling spread to secondary tissues. Transmission rates were calculated in the same manner but using data from saliva samples. The use of body, legs, and saliva samples as proxies for midgut infection, dissemination, and transmission is well established in vector competence studies [16,17]. No statistical tests were applied here, as differences were assessed using regression models.

2.7.2. Infection probabilities of body, legs and saliva samples.

For a more robust statistical analysis and to account for bloodmeal titers and experimental replicates, infection status probabilities were estimated for each sample type (body, legs, and saliva) using logistic regression models. In these analyses, ‘infection probability’ was calculated for each type of biological sample using the same RT-qPCR data used to calculate midgut infection, dissemination, and transmission rates. Models included fixed effects according to the specific analysis (‘mosquito species’, ‘virus strain’, ‘dpe’, and ‘mosquito species x dpe’ interaction) and covariates (‘bloodmeal titer’ and ‘replicate’), and were fitted using the GLIMMIX procedure. Bloodmeal titers were log10-transformed for the analyses. Least-square means and 95% confidence intervals (CIs) were estimated to derive infection probabilities for each sample type and mosquito species and, for Ae. aegypti and Ae. albopictus, at each timepoint. Pairwise comparisons between groups were conducted using odds ratios (ORs) derived from the same models, with significance set at p < 0.5. ORs < 1 indicate lower odds of infection, whereas ORs > 1 indicate higher odds, relative to the reference group.

Models were applied to: (i) compare MADV-PAN infection probabilities in body, legs and saliva across species at 14 dpe (‘mosquito species’ as fixed effect; reference species: Ae. aegypti); (ii) compare MADV-PAN and MADV-BR infection probabilities in body, legs and saliva of Ae. taeniorhynchus at 14 dpe (‘virus strain’ as fixed effect; reference strain: MADV-PAN); and (iii) assess the temporal variation in MADV-PAN infection probabilities in body, legs, and saliva across timepoints in Ae. aegypti and Ae. albopictus (‘mosquito species’, ‘dpe’, and ‘mosquito species x dpe’ as fixed effects; references: Ae. aegypti, 3 dpe). In (i), groups with no positive saliva samples were excluded from the models due to lack of variation in the outcome, which precludes reliable estimation in logistic regression. In these cases, differences between species with zero positive samples and other species were assessed using Fisher’s exact tests with FDR and Bonferroni correction. In (iii), time points with zero positives were retained to preserve model structure, as inclusion of the time variable and its interaction with mosquito species required maintaining all levels of the factor for appropriate comparisons across time points.

In (iii), models accounting for repeated measures were not used because the data were not longitudinal, as different mosquitoes were used for sample collection at each timepoint.

2.7.3. MADV titers in body, legs and saliva samples.

Virus titers (PFU/mL) were log10-transformed and least-square means and 95% confidence intervals (CIs) were obtained using generalized linear models.

3. Results

3.1. Bloodmeal titers

Bloodmeal titers for MADV-PAN ranged from 1.1 x 105 to 5.8 x 107 PFU/mL across all experiments. Bloodmeal titers for MADV-BR ranged from 2.4 x 107 to 4 x 107 PFU/mL (Table 1).

thumbnail
Table 1. Numbers of mosquito body, leg, and saliva samples that tested positive through reverse transcription quantitative PCR using Madariaga virus-specific primers and probe.

https://doi.org/10.1371/journal.pntd.0013516.t001

3.2. MADV-PAN infection, dissemination, and transmission rates across mosquito species

All six species were susceptible to midgut infection and exhibited virus dissemination. Virus was detected in the saliva of all species, except Cx. quinquefasciatus. Aedes aegypti had the highest midgut infection rate (53%, 84/160) (Table 1).

In Ae. taeniorhynchus, rates were overall higher following exposure to MADV-BR than to MADV-PAN (Table 1).

Temporal patterns in Ae. aegypti and Ae. albopictus revealed distinct trends. In Ae. aegypti, midgut infection, dissemination and transmission rates increased over time, respectively reaching 82.5%, 50% and 32.5% at 21 days post-exposure (dpe). In contrast, Ae. albopictus showed decreasing rates after 7 dpe, with midgut infection declining to 10%, dissemination to 5%, and transmission to 0% by 21 dpe (Table 1).

3.3. MADV-PAN infection probabilities in body, legs, and saliva across mosquito species

In addition to calculating midgut infection, dissemination, and transmission rates, we modeled infection probabilities in body, leg, and saliva samples to evaluate differences across groups while accounting for bloodmeal titers and experimental variation.

In the final models for body, leg, and saliva samples, ‘bloodmeal titer’ was retained as a covariate, whereas ‘replicate’ was removed, as it did not predict the outcome. ‘Mosquito species’ significantly predicted infection status in both body (p < 0.001) and leg (p = 0.008) models.

Aedes aegypti had the highest predicted body infection probability, followed by Ae. taeniorhynchus, Cx. tarsalis, Ae. albopictus, Cx. coronator, and Cx. quinquefasciatus (Fig 1A, S1 Table). ORs derived from pairwise comparisons indicated significant differences in body infection probability across several species. Compared to Ae. aegypti, body infection probability was significantly lower in Ae. albopictus (OR=0.26, p = 0.0046), Cx. coronator (OR=0.18, p = 0.001), Cx. quinquefasciatus (OR=0.11, p < 0.0001), and Cx. tarsalis (OR=0.31, p = 0.0063). In addition, Cx. quinquefasciatus also had significantly lower body infection probability than Cx. tarsalis (OR=0.35, p = 0.0225) (S2 Table).

thumbnail
Fig 1. Predicted infection probabilities of Madariaga virus strain Panama (MADV-PAN) derived from regression models in body(A), legs (B), and saliva (C), and log10-transformed MADV-PAN titers in body (D), legs (E), and saliva (F) samples collected from distinct mosquito species at 14 days-post exposure.In A-C, the fixed effect was ‘mosquito species’, models were adjusted for ‘bloodmeal titer’, and two experimental replicates per mosquito species were accounted for; the total number of mosquitoes dissected per species across both replicates is shown in panel A, and vertical lines indicate 95% confidence intervals. In D-E, the number of samples tested is shown below each group, and box and whisker plots indicate the median and interquartile range – all of the saliva samples and 50% of body and legs testing positive in the molecular assay were tested in plaque assays. Ae. aeg: Aedes aegypti; Ae. alb: Ae. albopictus; Ae. tae: Ae. taeniorhynchus; Cx. cor: Culex coronator; Cx. tar: Cx tarsalis; Cx. qui: Cx. quinquefasciatus. In (C), data from Cx. quinquefasciatus was removed from the model as this species had zero positive saliva samples, leading to complete data separation. In (F), Cx. quinquefasciatus data is absent as there were no positive saliva samples. Bars with asterisks in A-C indicate the level of statistical significance between the two groups shown at the end of each bar, based on odds ratio pairwise comparisons: *p < 0.05, **p < 0.001, ***p < 0.0001. PFU/mL: plaque forming units per mL.

https://doi.org/10.1371/journal.pntd.0013516.g001

Leg infection probabilities were highest in Ae. aegypti, Ae. taeniorhynchus, and Cx. tarsalis, and lowest in Cx. quinquefasciatus (Fig 1B, S1 Table). Pairwise comparisons showed significantly higher odds of leg infection in Ae. albopictus (OR=5.56, p = 0.0407) and Ae. taeniorhynchus (OR=15.31, p = 0.0026) compared to Cx. quinquefasciatus, and significantly lower odds were observed for Cx. quinquefasciatus relative to Cx. tarsalis (OR=0.08, p = 0.0012) and Ae. aegypti (OR=0.07, p = 0.001) (S2 Table).

In the saliva model, from which Cx. quinquefasciatus was excluded due to the absence of positive saliva samples, ‘mosquito species’ was not a significant predictor of infection status, although Ae. aegypti showed a trend toward higher saliva infection probabilities (Fig 1C, S1 Table). Pairwise comparisons from the model did not identify significant differences among species (S2 Table).

To enable comparison of Cx. quinquefasciatus saliva data with that of other species, Fisher’s exact tests were performed with Bonferroni or FDR correction. Under Bonferroni adjustment, the proportion of positive saliva samples in Cx. quinquefasciatus was significantly lower than in Ae. aegypti (p = 0.0020) and Cx. coronator (p = 0.0370). Under FDR correction, Cx. quinquefasciatus had significantly lower saliva positivity than all other species (adjusted p-values ranging from 0.0020 to 0.0299) (S3 Table).

3.4. MADV-PAN and MADV-BR infection probabilities in Ae. taeniorhynchus

We compared infection probabilities in Ae. taeniorhynchus exposed to MADV-PAN and MADV-BR to assess differences in mosquito infection outcomes between the two virus strains. In the final models, ‘bloodmeal titer’ was retained as a covariate, whereas ‘replicate’ was excluded. ‘Virus strain’ was a significant predictor of infection status in body samples, with mosquitoes exposed to MADV-BR showing higher predicted body infection probabilities (OR=5.8, p = 0.0030) than those exposed to MADV-PAN. Although ‘virus strain’ was not a significant predictor in the leg and saliva models, there was a trend toward higher predicted infection probabilities in mosquitoes exposed to MADV-BR in these biological samples (leg: OR=2.32, p = 0.1326; saliva: OR=3.45, p = 0.0946) compared with MADV-PAN (Fig 2A - 2C, S4 and S5 Tables).

thumbnail
Fig 2. Predicted infection probabilities of Madariaga virus strain Panama (MADV-PAN) and Madariaga virus strain Brazil (MADV-BR) derived from regression models in body(A), legs (B), and saliva (C), and log10-transformed MADV-PAN and MADV-BR titers in body (D), legs (E), and saliva (F) samples collected from Aedes taeniorhynchus at 14 days-post exposure.In A-C, the fixed effect was ‘virus strain’, models were adjusted for ‘bloodmeal titer’, and two experimental replicates per virus strain were accounted for; the total number of mosquitoes dissected per species across both replicates is shown in panel A, and vertical lines indicate 95% confidence intervals. In D-E, the number of samples tested is shown below each group, and box and whisker plots indicate the median and interquartile range – all of the saliva samples and 50% of body and legs testing positive in the molecular assay were tested in the plaque assay. Bars with asterisks in A-C indicate the level of statistical significance between the two groups shown at the end of each bar, based on odds ratio pairwise comparisons: *p < 0.05, **p < 0.001, ***p < 0.0001. PFU/mL: plaque forming units per mL.

https://doi.org/10.1371/journal.pntd.0013516.g002

3.5. Temporal MADV-PAN infection probability in body, legs and saliva of Ae. aegypti and Ae. albopictus

To examine the temporal variation in infection outcomes in Ae. aegypti and Ae. albopictus, we modeled MADV-PAN infection probabilities in body, legs, and saliva samples across four timepoints. The final models for body, leg, and saliva data retained ‘bloodmeal titer’ as a covariate, whereas ‘replicate’ was excluded.

In the body model, ‘mosquito species’ (p < 0.001) and ‘mosquito species x dpe’ interaction (p < 0.0001) were significant predictors of infection probability, while ‘dpe’ alone was not (p = 0.1). In Ae. aegypti, predicted body infection probabilities increased over time. In Ae. albopictus, infection probabilities increased from 3 to 7 dpe and declined thereafter (Fig 3A, S6 Table). Significant differences between species were observed at 7, 14, and 21 dpe, with Ae. albopictus showing higher odds of body infection at 7 dpe (OR=3.87, p = 0.0046), but lower odds at 14 dpe (OR=0.26, p = 0.0045) and 21 dpe (OR=0.02, p < 0.0001) compared to Ae. aegypti (S7 Table).

thumbnail
Fig 3. Predicted infection probabilities of Madariaga virus strain Panama (MADV-PAN) derived from regression models in body(A), legs (B), and saliva (C), and log10-transformed MADV-PAN titers in body (D), legs (E), and saliva (F) samples collected from Aedes aegypti (Ae. aeg; orange shading) and Ae. albopictus (Ae. alb; diagonal line shading) at 3, 7, 14, and 21 days-post exposure (dpe).

In A-C, 20 individual mosquitoes were dissected per species per time point, the fixed effects were “mosquito species’, ‘dpe’, and ‘mosquito species x dpe’ interaction, models were adjusted for ‘bloodmeal titer’, and two experimental replicates per virus strain were accounted for. Vertical lines indicate 95% confidence intervals, and asterisks indicate the level of statistical significance between the two groups at a given time point, based on odds ratio pairwise comparisons: *p < 0.05, **p < 0.001, ***p < 0.0001. The wide confidence intervals in (C) reflect the absence of positive saliva samples in Ae. aegypti at 3 dpe and Ae. albopictus at 21 dpe – these groups were retained because the model included a ‘mosquito species x dpe’ interaction, and variation at other time points allowed estimation. In D-F, box and whisker plots indicate the median and interquartile range of PFU/mL; the number of samples tested is shown below each group – all of the saliva samples and approximately 50% of body and legs testing positive in the molecular assay were tested in the plaque assay. PFU/mL: plaque forming units per mL.

https://doi.org/10.1371/journal.pntd.0013516.g003

In the leg model, only ‘mosquito species x dpe’ interaction was a significant predictor of infection (p < 0.0001). Trends were similar to those in body samples, with increasing infection probabilities over time in Ae. aegypti, and a peak at 7 dpe followed by a decline at later timepoints in Ae. albopictus (Fig 3B, S6 Table). Significant differences between species were observed at 3 and 21 dpe, with Ae. albopictus showing higher odds of leg infection at 3 dpe (OR=7.23, p = 0.0149) and lower odds at 21 dpe (OR=0.05, p = 0.0002) compared to Ae. aegypti (S7 Table).

In the saliva model, none of the fixed effects (‘mosquito species’, ‘dpe’, or ‘mosquito species x dpe’) were significant predictors of infection status. Nevertheless, trends in predicted infection probabilities between Ae. aegypti and Ae. albopictus were similar to those observed in body and leg samples, with higher odds in Ae. albopictus at 7 dpe (OR=3.36, p = 0.155) and lower odds at 14 dpe (OR=0.44, p = 0.2183) compared to Ae. aegypti, although these differences were not statistically significant (Fig 3C, S6 and S7 Tables).

3.6. MADV titers

To assess the presence of infectious virus in the samples, plaque assays were performed on a subset of RT-qPCR-positive body and leg samples and on all RT-qPCR-positive saliva samples. In addition, a subset of RT-qPCR-negative samples was included as negative controls. Plaques were detected in all RT-qPCR-positive body, leg and saliva samples tested by plaque assay, with the exception of one Ae. albopictus saliva sample collected at 7 dpe (replicate 2). None of the 45 RT-qPCR-negative samples yielded plaques.

3.6.1. MADV-PAN titers in body, legs, and saliva across mosquito species.

Mean MADV-PAN titers ranged from 5.2-5.9 log10 PFU/mL in body samples and 5.1-5.5 log10 PFU/mL in leg samples (Fig 1D-1E, S8 Table). Saliva PFU counts ranged from 1 to 12 per well at a 10-1 dilution. Given that an estimated 0.5-2 µL of saliva was obtained from mosquitoes and diluted in 80 µL of medium, and 50 µL of this mixture was used for RNA extraction, with additional volume loss during handling, the remaining sample volume (~15 µL) used for plaque assays represents <1 µL of actual saliva, resulting in estimated titers of 3.7-4.3 log10 PFU/mL across competent species (Fig 1F, S8 Table).

3.6.2. MADV-PAN and MADV-BR titers in Ae. taeniorhynchus body, legs and saliva.

Mean MADV-PAN and MADV-BR titers in Ae. taeniorhynchus body samples were 5.8 and 5.3 log10 PFU/mL, respectively (Fig 2D, S9 Table). In leg samples, mean titers were 5.5 and 5.2 log10 PFU/mL for MADV-PAN and MADV-BR, respectively (Fig 2E, S9 Table). In saliva, mean titers for MADV-PAN and MADV-BR were 4.1 and 3.8 log10 PFU/mL, respectively (Fig 2F, S9 Table).

3.6.3. MADV-PAN titers in Ae. aegypti and Ae. albopictus over time.

MADV-PAN titers in Ae. aegypti and Ae. albopictus showed limited variation across time points in body and leg samples. Titers in body samples ranged from 5.5 to 5.6 log10 PFU/mL in Ae. aegypti and from 5.8 to 6.0 log10 PFU/mL in Ae. albopictus (Fig 3D, S10 Table). Titers in leg samples ranged from 5.4 to 5.6 log10 PFU/mL in Ae. aegypti and from 5.1 to 5.5 log10 PFU/mL in Ae. albopictus (Fig 3E, S10 Table). Titers in saliva samples were overall lower, with a relatively narrow range in Ae. aegypti (3.6-4.0 log10 PFU/mL) and a broader range in Ae. albopictus (2.8-4.2 log10 PFU/mL) (Fig 3F, S10 Table).

4. Discussion

This study evaluated the vector competence of six mosquito species for MADV by assessing the presence of viral RNA and infectious particles in different biological samples from mosquitoes, including saliva. In addition, we assessed whether Ae. taeniorhynchus exhibited differential vector competence for two MADV strains and evaluated temporal infection dynamics in Ae. aegypti and Ae. albopictus.

Five of the six mosquito species tested had MADV RNA and infectious virus particles in their saliva following oral exposure indicating that MADV may be compatible with, and potentially transmitted by, a broad range of mosquito vectors in the field. As expected for arbovirus replication dynamics in mosquitoes, rates declined from body to legs to saliva, reflecting known biological barriers encountered by arboviruses within mosquito tissues [16,18,19]. The agreement between RT-qPCR and plaque assay results (where all but one RT-qPCR-positive sample yielded plaques, while none of the negative samples did) validated our molecular assay.

MADV-PAN body and leg infection probabilities varied across the six mosquito species at 14 dpe, likely reflecting species-specific midgut infection and escape barriers. Conversely, saliva infection probabilities were more uniform among competent species, although the limited number of positive saliva samples may have reduced power to detect differences.

The absence of positive saliva samples in Cx. quinquefasciatus, seen in both replicates, indicates that this species may not be competent for MADV-PAN. This species also had the lowest infection probabilities in body and legs, suggesting limited ability of the virus to infect and disseminate within its tissues.

Among the competent species, Cx. tarsalis is an ornithophilic mosquito that sporadically feeds on mammals. Culex tarsalis is a major WNV vector and an important vector for western equine encephalitis in North America [20]. Although this species is not found in MADV-endemic areas, its potential to transmit MADV becomes relevant if the virus is introduced in regions within its range, particularly if birds are shown to participate in MADV transmission cycles. Although ground-dwelling mammals, such as rodents, are considered the putative primary reservoirs of MADV based on analysis of evolutionary patterns and field data [21,22], antibodies to MADV have been detected in some bird species, generally at low titers [7,11], and the virus has been isolated from a limited number of birds [11]. These observations indicate that birds can be exposed to and infected with MADV, although their role in transmission remains unclear.

Culex coronator, also competent for MADV, is widespread throughout the Americas [2327]. This species has been implicated as a vector of certain arboviruses [28], but it is usually not included in disease surveillance testing. While Cx. coronator has generally been associated with sylvatic habitats, there are reports of its presence in urban and peri-urban areas [29,30]. Interestingly, Cx. coronator from Peru did not transmit MADV in the study by Turell et al. [14] – this discrepancy may be due to differences in mosquito and virus strains used in each study.

Aedes aegypti, another MADV-competent species in our study, is a major vector of arboviruses in urban and peri-urban environments due to its strong anthropophilic behavior [31,32]. This behavior makes its involvement in arbovirus enzootic transmission cycles unlikely. However, this mosquito is also present in rural areas, and host-feeding behavior can vary geographically, with some populations occasionally feeding on non-human mammals [3234]. Given this variability and the species’ broad distribution throughout the Americas, its potential role as a bridge vector in MADV-endemic regions cannot be entirely ruled out.

MADV infection probabilities in body, legs, and saliva were assessed over time in Ae. aegypti and Ae. albopictus. Aedes albopictus was included in this study due to its global distribution [35,36], wide host range [32,35], and potential role as a bridge vector for arboviruses [37]. The temporal infection dynamics differed sharply between these species. In Ae. aegypti, infection probabilities of body, legs and saliva increased over time. In Ae. albopictus, infection probabilities increased from 3 to 7 dpe but declined thereafter across all sample types, with no saliva samples testing positive at 21 dpe. Regardless of the mechanisms, which warrants further investigations, the observed infection dynamics of MADV-PAN in these two species highlight the need to account for temporal variation in mosquito-virus interactions when modeling transmission, as they may help explain spatiotemporal heterogeneity in arboviral disease patterns. For instance, a temporal decrease in transmission rates shortens the period during which mosquitoes carry infectious virus in saliva in a given species, as observed here in Ae. albopictus infected with MADV, this could contribute to reduced arbovirus transmission in areas where this species predominates. Overall, infection patterns of arboviruses in mosquito tissues vary in the literature and appear to depend on mosquito and virus species and strains, bloodmeal titers, and environmental factors [3842].

Aedes taeniorhynchus, also called the black salt marsh mosquito, was competent for both MADV-PAN and MADV-BR. While body, leg, and saliva infection probabilities for MADV-PAN were similar to those of other species, probabilities showed a higher trend for MADV-BR. Although not statistically significant in leg and saliva samples, this trend was consistent across biological sample types and replicates, suggesting a true biological difference between MADV-BR and MADV-PAN. Aedes taeniorhynchus is widely distributed throughout coastal and some inland regions of the Americas and is capable of exploiting diverse habitats [4349]. It has a broad vertebrate host range [50,51] and although typically considered a nuisance species, it is competent for several medically important arboviruses [43,44,5261], including the North American EEEV [54], and the Venezuelan equine encephalitis virus [55], which co-circulates with MADV in some regions [4]. Although MADV was isolated from Ae. taeniorhynchus during an equine epizootic in Brazil in 1960 [62], the transmission potential of this species had not been experimentally confirmed. Our results, combined with ecological features of Ae. taeniorhynchus and the prior isolation of MADV from field-collected specimens [62], support the role of this species as a potential amplification and bridge vector during outbreaks.

Overall, the findings in Ae. aegypti, Ae. albopictus, and Ae. taeniorhynchus reinforce the need to investigate species- and strain-specific mosquito-virus interactions more thoroughly.

This study has limitations. For instance, while four species were tested using F0-F3 generations to better reflect field conditions, two species (Cx. tarsalis and Cx. quinquefasciatus) came from long-term established colonies, which may limit the generalizability of the results to wild populations. In addition, the artificial oral infection method used may have underestimated transmission rates, as numerous studies have shown that in vivo feeding leads to higher transmission rates than in vitro feeding [63,64]. Finally, we were unable to include Culex (Melanoconion) spp. – considered the primary candidates for enzootic MADV transmission (1, 12) – due to colonization difficulties and limited field collections. We encourage the inclusion of this group in future vector competence studies with MADV.

Despite these limitations, our study provides new insights into the transmission potential of mosquito species found in the United States, including those broadly distributed in the Americas (e.g., Ae. taeniorhynchus) and globally (e.g., Ae. aegypti and Ae. albopictus), for MADV. Although this pathogen remains poorly studied, it has been associated with high morbidity and mortality rates in equines and with severe disease and death in humans [1]. Identifying mosquito species capable of biologically transmitting MADV is essential for anticipating potential emergence events, particularly as the virus expands geographically. Studies like ours are critical for understanding arbovirus emergence and for risk assessment, more so when integrated with ecological and field data.

Supporting information

S1 Table. Infection probabilities of body, legs and saliva collected at 14 days-post exposure from different mosquito species exposed to Madariaga virus (strain Panama).

Least-squares means of infection probabilities and 95% confidence intervals were estimated using logistic regression models.

https://doi.org/10.1371/journal.pntd.0013516.s001

(DOCX)

S2 Table. Odds ratios derived from least squares means of body, legs, and saliva infection probabilities in mosquitoes infected with Madariaga virus (strain Panama).

Samples were collected at 14 days-post exposure.

https://doi.org/10.1371/journal.pntd.0013516.s002

(DOCX)

S3 Table. Pairwise comparisons of Madariaga virus (strain Panama) infection probability in saliva samples between Culex quinquefasciatus and other mosquito species.

Samples were collected at 14 days-post exposure.

https://doi.org/10.1371/journal.pntd.0013516.s003

(DOCX)

S4 Table. Infection probabilities of body, legs and saliva collected from Aedes taeniorhynchus exposed to Madariaga strain Panama (MADV-PAN) or Madariaga virus strain Brazil (MADV-BR), at 14 days-post exposure.

Least-squares means of infection probabilities and 95% confidence intervals were estimated using logistic regression models.

https://doi.org/10.1371/journal.pntd.0013516.s004

(DOCX)

S5 Table. Odds ratios derived from least squares means of the infection probabilities of Madariaga virus strain Panama (MADV-PAN) and Madariaga virus strain Brazil (MADV-BR), in body, legs and saliva collected from Aedes taeniorhynchus at 14 days-post exposure.

https://doi.org/10.1371/journal.pntd.0013516.s005

(DOCX)

S6 Table. Infection probabilities of body, legs and saliva collected from Aedes aegypti and Aedes albopictus infected with Madariaga (strain Panama), at 3, 7, 14, and 21 days-post exposure (dpe).

Least-squares means of infection probabilities and 95% confidence intervals were estimated using logistic regression models.

https://doi.org/10.1371/journal.pntd.0013516.s006

(DOCX)

S7 Table. Odds ratios derived from least squares means of body, legs, and saliva infection probabilities in Aedes aegypti and Aedes albopictus infected with Madariaga virus (strain Panama), at 3, 7, 14, and 21 days-post exposure (dpe).

https://doi.org/10.1371/journal.pntd.0013516.s007

(DOCX)

S8 Table. Mean log10-transformed plaque forming units per mL (PFU/mL) of Madariaga virus (strain Panama), in body, leg and saliva samples collected from six mosquito species at 14 days-post exposure.

https://doi.org/10.1371/journal.pntd.0013516.s008

(DOCX)

S9 Table. Mean log10-transformed plaque forming units per mL (PFU/mL) of Madariaga virus strain Panama (MADV-PAN) or Madariaga virus strain Brazil (MADV-BR), in body, leg and saliva samples collected from Aedes taeniorhynchus at 14 days-post exposure.

https://doi.org/10.1371/journal.pntd.0013516.s009

(DOCX)

S10 Table. Mean log10-transformed plaque forming units per mL (PFU/mL) of Madariaga virus strain Panama (MADV-PAN), in body, leg and saliva samples collected from Aedes aegypti and Aedes albopictus at 3, 7, 14, and 21 days-post exposure.

https://doi.org/10.1371/journal.pntd.0013516.s010

(DOCX)

Acknowledgments

We thank Isabella Tyler and Hayden Elliott for their support with mosquito rearing at the Department of Entomology, Texas A&M University; Susan Bennett at the Center for Vector-Borne Infectious Diseases at Colorado State University, for kindly providing Culex quinquefasciatus and Culex tarsalis eggs; and the World Reference Center for Emerging Viruses and Arboviruses (WRCEVA) at the University of Texas Medical Branch for kindly providing Madariaga virus strain Panama. We also thank the team at the Global Health Research Complex and the Biosafety Office at Texas A&M University for their guidance and support during the optimization of the Biosafety Level 3 protocols and execution of experiments in the BSL-3 facility.

References

  1. 1. Magalhaes T, Hamer GL, de Carvalho-Leandro D, Ribeiro VML, Turell MJ. Uncertainties surrounding madariaga virus, a member of the eastern equine encephalitis virus complex. Vector Borne Zoonotic Dis. 2024;24(10):633–40. pmid:38717063
  2. 2. Alice FJ. Infecção humana pelo vírus “leste” da encefalite equina. Bol Inst Biol Bahia. 1956;3:3–9.
  3. 3. Corniou B, Ardoin P, Bartholomew C, Ince W, Massiah V. First isolation of a South American strain of Eastern Equine virus from a case of encephalitis in Trinidad. Trop Geogr Med. 1972;24(2):162–7. pmid:5037688
  4. 4. Carrera JP, Forrester N, Wang E, Vittor AY, Haddow AD, Lopez-Verges S. Eastern equine encephalitis in Latin America. N Engl J Med. 2013;369(8):732–44.
  5. 5. Carrera J-P, Cucunubá ZM, Neira K, Lambert B, Pittí Y, Liscano J, et al. Endemic and epidemic human alphavirus infections in eastern panama: An analysis of population-based cross-sectional surveys. Am J Trop Med Hyg. 2020;103(6):2429–37. pmid:33124532
  6. 6. Rivera LF, Lezcano-Coba C, Galué J, Rodriguez X, Juarez Y, de Souza WM, et al. Characteristics of madariaga and venezuelan equine encephalitis virus infections, panama. Emerg Infect Dis. 2024;30(14):94–104. pmid:39530903
  7. 7. Shope RE, de Andrade AH, Bensabath G, Causey OR, Humphrey PS. The epidemiology of EEE WEE, SLE and Turlock viruses, with special reference to birds, in a tropical rain forest near Belem, Brazil. Am J Epidemiol. 1966;84(3):467–77. pmid:6005906
  8. 8. Srihongse S, Galindo P. The isolation of eastern equine encephalitis from Culex (Melanoconion) taeniopus Dyar and Knab in Panama. Mosquito News. 1967;27(1):3.
  9. 9. Dietz WH, Galindo P, Johnson KM. Eastern equine encephalomyelitis in Panama: The epidemiology of the 1973 epizootic. Am J Trop Med Hyg. 1980;29(1):133–40. pmid:7352621
  10. 10. Walder R, Suarez OM, Calisher CH. Arbovirus studies in the Guajira region of Venezuela: activities of eastern equine encephalitis and Venezuelan equine encephalitis viruses during an interepizootic period. Am J Trop Med Hyg. 1984;33(4):699–707. pmid:6148023
  11. 11. Vasconcelos PFC, Travassos da Rosa JFS, Travassos da Rosa APA, Degallier N, Pinheiro FP, Sá Filho GC. Epidemiologia das encefalites por arbovírus na amazônia brasileira. Rev Inst Med Trop S Paulo. 1991;33(6):465–76.
  12. 12. Turell MJ, O’Guinn ML, Jones JW, Sardelis MR, Dohm DJ, Watts DM, et al. Isolation of viruses from mosquitoes (Diptera: Culicidae) collected in the Amazon Basin region of Peru. J Med Entomol. 2005;42(5):891–8. pmid:16366001
  13. 13. Causey OR, Causey CE, Maroja OM, Macedo DG. The isolation of arthropod-borne viruses, including members of two hitherto undescribed serological groups, in the Amazon region of Brazil. Am J Trop Med Hyg. 1961;10:227–49. pmid:13691675
  14. 14. Turell MJ, O’Guinn ML, Dohm D, Zyzak M, Watts D, Fernandez R, et al. Susceptibility of Peruvian mosquitoes to eastern equine encephalitis virus. J Med Entomol. 2008;45(4):720–5. pmid:18714873
  15. 15. Gil L, Magalhaes T, Santos B, Oliveira LV, Oliveira-Filho EF, Cunha JLR. Active circulation of Madariaga virus, a member of the eastern equine encephalitis virus complex, in Northeast Brazil. Pathogens. 2021;10(8).
  16. 16. Turell MJ, Gargan TP, Bailey CL. Replication and dissemination of Rift Valley fever virus in Culex pipiens. Am J Trop Med Hyg. 1984;33(1):176–81. pmid:6696176
  17. 17. Wu VY, Chen B, Christofferson R, Ebel G, Fagre AC, Gallichotte EN, et al. A minimum data standard for vector competence experiments. Sci Data. 2022;9(1):634. pmid:36261651
  18. 18. Higgs S, Beaty B. Natural cycles of vector-borne pathogens. Marquardt WC, Black WC, Freier JE, Hagedorn HH, Hemingway J, Higgs S. Biology of disease vectors. 2 ed. Burlington: Elsevier Academic Press. 2004. 785.
  19. 19. Kramer LD, Scherer WF. Vector competence of mosquitoes as a marker to distinguish Central American and Mexican epizootic from enzootic strains of Venezuelan encephalitis virus. Am J Trop Med Hyg. 1976;25(2):336–46. pmid:1259093
  20. 20. Rochlin I, Faraji A, Healy K, Andreadis TG. West Nile virus mosquito vectors in North America. J Med Entomol. 2019;56(6):1475–90.
  21. 21. Arrigo NC, Adams AP, Weaver SC. Evolutionary patterns of eastern equine encephalitis virus in North versus South America suggest ecological differences and taxonomic revision. J Virol. 2010;84(2):1014–25. pmid:19889755
  22. 22. Vittor AY, Armien B, Gonzalez P, Carrera J-P, Dominguez C, Valderrama A, et al. Epidemiology of emergent madariaga encephalitis in a region with endemic venezuelan equine encephalitis: initial host studies and human cross-sectional study in Darien, Panama. PLoS Negl Trop Dis. 2016;10(4):e0004554. pmid:27101567
  23. 23. Bond JG, Casas-Martínez M, Quiroz-Martínez H, Novelo-Gutiérrez R, Marina CF, Ulloa A, et al. Diversity of mosquitoes and the aquatic insects associated with their oviposition sites along the Pacific coast of Mexico. Parasit Vectors. 2014;7:41. pmid:24450800
  24. 24. Demari-Silva B, Suesdek L, Sallum MAM, Marrelli MT. Wing geometry of Culex coronator (Diptera: Culicidae) from South and Southeast Brazil. Parasit Vectors. 2014;7:174. pmid:24721508
  25. 25. Pecor JE, Harbach RE, Peyton EL, Roberts DR, Rejmankova E, Manguin S, et al. Mosquito studies in Belize, Central America: Records, taxonomic notes, and a checklist of species. J Am Mosq Control Assoc. 2002;18(4):241–76. pmid:12542181
  26. 26. Laurito M, Briscoe AG, Almirón WR, Harbach RE. Systematics of the Culex coronator complex (Diptera: Culicidae): Morphological and molecular assessment. Zool J Linn Soc. 2018;182:23.
  27. 27. Sames WJ, Mann JG, Kelly R, Evans CL, Varnado WC, Bosworth AB. Distribution of Culex coronator in the USA. J Am Mosq Control Assoc. 2021;37(1):1–9.
  28. 28. Consoli RAGB, Lourenço DE, Oliveira R. Principais mosquitos de importância sanitária no Brasil. 1st ed. Rio de Janeiro: Editora Fiocruz; 1994.
  29. 29. Wilke ABB, Vasquez C, Cardenas G, Carvajal A, Medina J, Petrie WD, et al. Invasion, establishment, and spread of invasive mosquitoes from the Culex coronator complex in urban areas of Miami-Dade County, Florida. Scientific Reports. 2021;11(1):14620.
  30. 30. Alto BW, Connelly CR, O’Meara GF, Hickman D, Karr N. Reproductive biology and susceptibility of Florida Culex coronator to infection with West Nile virus. Vector Borne Zoonotic Dis. 2014;14(8):606–14. pmid:25072992
  31. 31. Scott TW, Takken W. Feeding strategies of anthropophilic mosquitoes result in increased risk of pathogen transmission. Trends Parasitol. 2012;28(3):114–21. pmid:22300806
  32. 32. Cebrian-Camison S, Martinez-de la Puente J, Figuerola J. A literature review of host feeding patterns of invasive Aedes mosquitoes in Europe. Insects. 2020;11(12).
  33. 33. Olson MF, Ndeffo-Mbah ML, Juarez JG, Garcia-Luna S, Martin E, Borucki MK, et al. High rate of non-human feeding by aedes aegypti reduces zika virus transmission in south Texas. Viruses. 2020;12(4):453. pmid:32316394
  34. 34. Agha SB, Tchouassi DP, Turell MJ, Bastos ADS, Sang R. Entomological assessment of dengue virus transmission risk in three urban areas of Kenya. PLoS Negl Trop Dis. 2019;13(8):e0007686. pmid:31442223
  35. 35. Garcia-Rejon JE, Navarro J-C, Cigarroa-Toledo N, Baak-Baak CM. An updated review of the invasive aedes albopictus in the americas; geographical distribution, host feeding patterns, arbovirus infection, and the potential for vertical transmission of dengue virus. Insects. 2021;12(11):967.
  36. 36. Kraemer MU, Sinka ME, Duda KA, Mylne AQ, Shearer FM, Barker CM, et al. The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. Elife. 2015;4:e08347.
  37. 37. Pereira-Dos-Santos T, Roiz D, Lourenco-de-Oliveira R, Paupy C. A systematic review: Is Aedes albopictus an efficient bridge vector for zoonotic arboviruses?. Pathogens. 2020;9(4).
  38. 38. Gutiérrez-López R, Bialosuknia SM, Ciota AT, Montalvo T, Martínez-de la Puente J, Gangoso L, et al. Vector competence of aedes caspius and Ae. albopictus mosquitoes for zika virus, Spain. Emerg Infect Dis. 2019;25(2):346–8. pmid:30666939
  39. 39. Obadia T, Gutierrez-Bugallo G, Duong V, Nuñez AI, Fernandes RS, Kamgang B, et al. Zika vector competence data reveals risks of outbreaks: The contribution of the European ZIKAlliance project. Nat Commun. 2022;13(1):4490. pmid:35918360
  40. 40. Roundy CM, Azar SR, Rossi SL, Huang JH, Leal G, Yun R, et al. Variation in aedes aegypti mosquito competence for zika virus transmission. Emerg Infect Dis. 2017;23(4):625–32. pmid:28287375
  41. 41. Salazar MI, Richardson JH, Sánchez-Vargas I, Olson KE, Beaty BJ. Dengue virus type 2: replication and tropisms in orally infected Aedes aegypti mosquitoes. BMC Microbiol. 2007;7:9. pmid:17263893
  42. 42. Turner EA, Clark SD, Peña-García VH, Christofferson RC. Investigating the effects of microclimate on arboviral kinetics in aedes aegypti. Pathogens. 2024;13(12):1105.
  43. 43. Anderson JF, Fish D, Armstrong PM, Misencik MJ, Bransfield A, Ferrandino FJ, et al. Seasonal dynamics of mosquito-borne viruses in the southwestern Florida Everglades, 2016, 2017. Am J Trop Med Hyg. 2022;106(2):610–22. pmid:35008051
  44. 44. Eastwood G, Goodman SJ, Cunningham AA, Kramer LD. Aedes taeniorhynchus vectorial capacity informs a pre-emptive assessment of West Nile virus establishment in Galápagos. Sci Rep. 2013;3:1519. pmid:23519190
  45. 45. Bataille A, Cunningham AA, Cruz M, Cedeno V, Goodman SJ. Seasonal effects and fine-scale population dynamics of Aedes taeniorhynchus, a major disease vector in the Galapagos Islands. Mol Ecol. 2010;19(20):4491–504. pmid:20875066
  46. 46. de Melo Ximenes M de FF, de Araújo Galvão JM, Inacio CLS, Macêdo E Silva VP, Pereira N, Pinheiro MPG, et al. Arbovirus expansion: New species of culicids infected by the Chikungunya virus in an urban park of Brazil. Acta Trop. 2020;209:105538. pmid:32454032
  47. 47. Dos Reis IC, Gibson G, Ayllón T, de Medeiros Tavares A, de Araújo JMG, da Silva Monteiro E, et al. Entomo-virological surveillance strategy for dengue, Zika and chikungunya arboviruses in field-caught Aedes mosquitoes in an endemic urban area of the Northeast of Brazil. Acta Trop. 2019;197:105061. pmid:31194961
  48. 48. Ryba J, Fuentes O, Danielová V, Fernández A. Mosquito studies on the Isla de la Juventud, Cuba, at the beginning of rain period. Folia Parasitol. 1984;31(2):163–7. pmid:6146558
  49. 49. Scherer WF, Dickerman RW, Ordonez JV, Seymour C 3rd, Kramer LD, Jahrling PB, et al. Ecologic studies of Venezuelan encephalitis virus and isolations of Nepuyo and Patois viruses during 1968-1973 at a marsh habitat near the epicenter of the 1969 outbreak in Guatemala. Am J Trop Med Hyg. 1976;25(1):151–62. pmid:3981
  50. 50. Asigau S, Salah S, Parker PG. Assessing the blood meal hosts of Culex quinquefasciatus and Aedes taeniorhynchus in Isla Santa Cruz, Galápagos. Parasit Vectors. 2019;12(1):584. pmid:31842984
  51. 51. Ortiz YV, Casas SA, Tran MND, Decker EG, Saborit I, Le HN. Mosquito population dynamics and blood host associations in two types of urban greenspaces in coastal Florida. Insects. 2025;16(3).
  52. 52. Turell MJ. Effect of environmental temperature on the vector competence of Aedes taeniorhynchus for Rift Valley fever and Venezuelan equine encephalitis viruses. Am J Trop Med Hyg. 1993;49(6):672–6. pmid:8279634
  53. 53. Turell MJ. Vector competence of three Venezuelan mosquitoes (Diptera: Culicidae) for an epizootic IC strain of Venezuelan equine encephalitis virus. J Med Entomol. 1999;36(4):407–9. pmid:10467764
  54. 54. Turell MJ, Beaman JR, Neely GW. Experimental transmission of eastern equine encephalitis virus by strains of Aedes albopictus and A. taeniorhynchus (Diptera: Culicidae). J Med Entomol. 1994;31(2):287–90. pmid:8189419
  55. 55. Turell MJ, Ludwig GV, Beaman JR. Transmission of Venezuelan equine encephalomyelitis virus by Aedes sollicitans and Aedes taeniorhynchus (Diptera: Culicidae). J Med Entomol. 1992;29(1):62–5. pmid:1552530
  56. 56. Turell MJ, O’Guinn ML, Dohm DJ, Jones JW. Vector competence of North American mosquitoes (Diptera: Culicidae) for West Nile virus. J Med Entomol. 2001;38(2):130–4. pmid:11296813
  57. 57. Turell MJ, Rossi CA, Bailey CL. Effect of extrinsic incubation temperature on the ability of Aedes taeniorhynchus and Culex pipiens to transmit Rift Valley fever virus. Am J Trop Med Hyg. 1985;34(6):1211–8. pmid:3834803
  58. 58. Yuill TM, Thompson PH. Cache Valley virus in the Del Mar Va Peninsula. IV. Biological transmission of the virus by Aedes sollicitans and Aedes taeniorhynchus. Am J Trop Med Hyg. 1970;19(3):513–9.
  59. 59. Hodapp CJ, Hillis WD, Dahl EV. Isolation of two arboviruses from Aedes taeniorhynchus Wiedemann. J Med Entomol. 1966;3(1):44–5.
  60. 60. Ortiz DI, Wozniak A, Tolson MW, Turner PE, Vaughan DR. Isolation of EEE virus from Ochlerotatus taeniorhynchus and Culiseta melanura in coastal South Carolina. J Am Mosq Control Assoc. 2003;19(1):33–8. pmid:12674532
  61. 61. Belle EA, King SD, Griffiths BB, Grant LS. Epidemiological investigation for arboviruses in Jamaica, West Indies. Am J Trop Med Hyg. 1980;29(4):667–75. pmid:7406115
  62. 62. Causey OR, Shope RE, Sutmoller P, Laemmert H. Epizootic eastern equine encephalitis in the Bragança region of Pará, Brazil. Rev Serv Esp Saúde Pública. 1962;12(1):39–45.
  63. 63. Gloria-Soria A, Brackney DE, Armstrong PM. Saliva collection via capillary method may underestimate arboviral transmission by mosquitoes. Parasit Vectors. 2022;15(1):103. pmid:35331315
  64. 64. Turell MJ. Reduced Rift Valley fever virus infection rates in mosquitoes associated with pledget feedings. Am J Trop Med Hyg. 1988;39(6):597–602. pmid:3207178