Figures
Abstract
Background
Dengue virus (DENV) and Zika virus (ZIKV) are primarily transmitted by Aedes mosquitoes. As most studies on vector competence have focused on Aedes aegypti and Aedes albopictus while neglecting other Aedes species, it is possible that the transmission risks might be underestimated. It is necessary to examine additional species that could potentially serve as competent vectors. This is particularly important considering the potential expansion of their geographical range due to climate change or species-specific vector reduction interventions.
Methodology/Principal Findings
In this study, we examined the infection kinetics and transmission potential of Aedes scutellaris from Thailand, comparing to Ae. aegypti and Ae. albopictus. Our findings demonstrated that Ae. scutellaris and Ae. albopictus had lower rates of midgut infection compared to Ae. aegypti due to smaller blood meal sizes during feeding. However, once the infection has established Ae. scutellaris exhibited efficient replication of ZIKV and DENV1–4 in the midguts, secondary organs, and salivary glands. Notably, Ae. scutellaris had a low salivary gland escape barrier, with comparable transmissibility as Ae. aegypti when inoculated with the same viral load.
Author summary
Dengue and Zika are caused by arthropod-borne orthoflaviviruses, and spread primarily through the bite of infected Aedes mosquitoes. Most research on DENV and ZIKV transmission has primarily focused on Aedes aegypti and Aedes albopictus while other Aedes species are overlooked, thus the epidemiology of transmission might be underestimated. With climate change together with species-specific mosquito population reduction interventions these neglected Aedes species could become increasingly important in sustaining virus transmission. In this study, we examined Aedes scutellaris, a mosquito species that co-habitats with Ae. aegypti and Ae. albopictus, to assess its ability to transmit DENV and ZIKV using a combination of blood feeding and intrathoracic injection methods. Our findings show that although Ae. scutellaris had lower initial infection rates due to smaller blood meals, DENV and ZIKV were able to replicate and transmit at levels comparable to Ae. aegypti when exposed to similar virus loads. This highlights the need to study a broader range of species to improve virus control and outbreak prevention strategies.
Citation: Samung Y, Pengon J, Pethrak C, Pakparnich P, Thaiudomsup S, Suksirisawat K, et al. (2025) Comprehensive intra-host infection kinetics reveals high arbo-orthoflavivirus transmission potential by neglected vector species, Aedes scutellaris. PLoS Negl Trop Dis 19(5): e0012530. https://doi.org/10.1371/journal.pntd.0012530
Editor: Jeremy V. Camp, Medizinische Universitat Wien, AUSTRIA
Received: September 9, 2024; Accepted: April 23, 2025; Published: May 6, 2025
Copyright: © 2025 Samung et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: This work was supported by the Thailand Program Management Unit for Human Resources & Institutional Development, Research and Innovation (PMU-B), NXPO, (grant number B05F640142 to NJ). The project was also supported by Mahidol university (Fundamental Fund: fiscal year 2023 by National Science Research and Innovation Fund (NSRF) to PS). CS received funding support from the NSRF via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation (grant number B13F670055). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
1 Introduction
Dengue and Zika infections are both caused by arthropod-borne orthoflaviviruses (arbo-orthoflaviviruses) belonging to the orthoflavivirus family. Dengue virus is responsible for approximately 100–400 million infections worldwide each year [1,2], with severe cases leading to dengue hemorrhagic fever and dengue shock syndrome. Zika virus, on the other hand, gained global attention in 2015 due to rapid expansion across the tropical and subtropical countries in the Americas and more importantly its association with neurological symptoms and congenital malformations in newborns [3,4]. Both viruses are primarily transmitted through the bite of infected Aedes mosquitoes. To date, most research on DENV and ZIKV transmission gives primary focus to Ae. aegypti as the main vector and Ae. albopictus as a secondary one, while other mosquito species are largely overlooked. However, with climate change, there’s potential for arbovirus vectors to spread geographically [5–7], including neglected mosquito species posing an unknown risk of virus transmission. Additionally, several species-specific intervention such as gene drive and Wolbachia might cause significant changes in population structure of the primary vectors thus providing ecological gap for the neglected vectors [8,9].
The Scutellaris group of Aedes consists of more than 46 species [10] with geographical range that originally covers the Southeast Asia, South Pacific, and Northern Australia [11–13]. The major species of this subgroup is Ae. albopictus, which has been one of the most invasive mosquitoes globally. Ae. scutellaris [14], also belongs to this subgroup with geographic range that covers Papua New Guinea, Tonga, Southeast Asia, the South Pacific, Australia, and central Thailand [12,14,15], has been considered a potential carrier of the dengue virus in Papua New Guinea and suggested to be responsible for major DENV transmission in the Pacific islands [12,13]. An early study demonstrated an ability of Ae. scutellaris to transmit DENV2 in human volunteers but the volunteers were bitten by more than 50 bites of infectious mosquitoes and more importantly it did not compare transmissibility of Ae. scutellaris and primary vector such as Ae. aegypti [16]. Despite the suggested role of Ae. scutellaris in DENV transmission, only one study has made a comparative analysis of vector competence regarding DENV2 infection in Ae. scutellaris and the primary vector Ae. aegypti [12]. The study found that Ae. scutellaris is a moderately efficient DENV2 vector, with salivary gland infection to those of Ae. aegypti. However, the study only included DENV2 without evaluation of the virus’s ability to escape from the salivary gland into the mosquito’s saliva as the infective stage.
In this present study, we conducted detailed analyses of DENV1–4 and ZIKV infection kinetics to determine the vector competence of Ae. scutellaris, and compared it to Thai laboratory colonies of Ae. aegypti and Ae. albopictus. Through a combination of artificial membrane feeding and intrathoracic injection, we demonstrated that Ae. scutellaris can transmit ZIKV and DENVs at a level similar to Ae. aegypti, especially inoculated with the same virus load.
2 Materials and methods
2.1 Ethic statement
This study was carried out in accordance with the Faculty of Tropical Medicine- animal Care and Use Committee (FTM-ACUC), Mahidol University, Bangkok and the BIOTEC Committee for Care and Use of laboratory animals (BIOTEC-IACUC). Mosquito collection and maintenance of the field colony was processed followed by the approved protocol of FTM – ACUC 008/2023 and BT-Animal 05/2564. Mice were used only for mosquito rearing as a blood source, according to the approved protocol (BT-Animal 05/2564). Mosquito infection assays were performed followed the approved protocol (BT-Animal 05/2564). Human erythrocytes were used for an infection by artificial membrane feeding. Blood was collected from human volunteer following a protocol approved by National Science and Technology Development Agency Institutional Review Board (NIRB-052–2563). Written consent has been obtained from volunteers prior to blood withdrawal by medical technologists.
2.2 Aedes scutellaris colonization
Ae. scutellaris subgroup larvae were collected from the coastal area at Song Khlong Subdistrict, Bang Pakong District, Chachoengsao Province between November 2022 to January 2023 (Fig 1). A total of approximately 1600 Aedes spp. larvae were collected from the field sites. These larvae were subsequently transferred to an insectarium at Faculty of Tropical Medicine, Mahidol university and reared to adults. Individual emerging of Ae. scutellaris identified by morphological observation [17] were pooled to establish a field-derived Ae. scutellaris colony. Molecular identification of Ae. scutellaris was confirmed by PCR based DNA barcode of COI as previously described (S1 File) [18]. Low passage Ae. scutellaris (less than six generations) were transferred to BIOTEC’s insectary and used for infection experiments.
Ae. scutellaris aquatic stages were collected from the coastal area at Song Khlong Subdistrict, Bank Pakong District, Chachoengsao Province. The map was generated using QGIS software (version 3.22.7). The Thailand base map was obtained from the Humanitarian data exchange (https://data.humdata.org/dataset/cod-ab-tha) under the Creative Commons Attribution for Intergovernmental Organizations (CC BY-IGO) license. Larvae were reared to adults in insectarium and confirmed as Ae. scutellaris using morphological and molecular methods. The intra-host infection kinetics of Ae. scutellaris, Ae. aegypti, and Ae. albopictus were investigated by blood feeding or intrathoracic injection. For blood feeding, 6 Log10 PFU/mL of ZIKV or DENV1-4 were offered artificial membrane feeding. The midgut infection was measured by plaque assay at 7 dpibm while the dissemination, salivary gland infection and transmissibility were measured at 14 dpibm. The intrathoracic injection was used to determine arbo-orthoflavivirus transmissibility bypassing midgut infection barrier. Individual mosquito was injected with approximately 100 PFU of virus (100 nL of 6 Log10 PFU/mL stock). The dissemination and salivary gland infection were measured at 4 dpit while the transmissibility was measured at 11 dpit. The image was created in BioRender (https://BioRender.com/p28g278).
2.3 Mosquito colonies and maintenance
The recently colonized Ae. scutellaris and laboratory strains of Ae. aegypti and Ae. albopictus were used for all the infection studies. The Ae. aegypti DMSC and Ae. albopictus TH Laboratory strains were originally obtained from the Department of Medical Sciences, Ministry of Public Health, Thailand. These strains have been maintained in our laboratory for over 30 passages (DMSC) and 20 passages (TH). The DMSC strain has demonstrated the highest transmissibility among all the laboratory and field strains currently maintained in our lab (S1 Fig), highlighting its suitability as a reference for studying vector competence. In contrast, the TH strain exhibits transmissibility levels comparable to other field-collected Ae. albopictus strains from Thailand, providing a valuable model for comparison in studies of arbovirus transmission.
Mosquitoes were maintained in BIOTEC’s insectary at 27 °C with 80% humidity and a 12-hours day/night, 30-minutes dusk/dawn lighting cycle. The larvae were fed on powdered fish food (Tetra Bits). Adults were fed on 10% sucrose solution ad libitum. To obtain the eggs for colony maintenance, mosquitoes were allowed to feed on ICR mice anesthetized with 2% Avertin (2,2,2-Tribromoethanol, Sigma, T48402).
2.4 Virus propagation and titration
The SV0010/15 Thai ZIKV isolate and the contemporary DENV 1–4 panel from BEI Resources consisting of Dengue Virus Type 1, UIS 998 (NR-49713), Dengue Virus Type 2, US/BID-V594/2006 (NR-43280), Dengue Virus Type 3, US/BID-V1043/2006 (NR-43282), and Dengue Virus Type 4, UIS 497 (NR-49724) were used in the infection studies. All the viruses were propagated using the Ae. albopictus cell line C6/36 (ATCC CRL-1660) as previously described [19]. Briefly, after the cells were cultured to 80% confluency in T-75 cm2 flasks, supernatant was removed and replaced with the virus stocks at the MOI of 0.1 in 5 mL L-15 medium without supplements for 2 hours. After virus incubation, supernatant was removed, and replaced with 2% FBS L-15 medium then further incubated at 28 °C. The supernatant was collected at 6–7 days post inoculation then supplemented with FBS to final concentration of 20% and stored at −80 °C until further use.
Virus titers was determined by plaque assay in BHK-21 cells following the previously published protocol [19]. Briefly, 100 µL of virus suspension was added to BHK-21 cells seeded in 24-well plate at 80% confluency. Inoculated plates were then gently rocked at room temperature for 15 minutes before an incubation at 37 °C, 5% CO2 for 45 minutes. After incubation, 1 mL of overlay medium (1% methylcellulose (Sigma, M0512) in MEM supplemented with 2% FBS and 1X Pen/Strep) was added to each well then further incubated at 37 °C, 5% CO2 for 6 days. The plates were then fixed and stained with 0.5% crystal violet (Sigma, C6158) in 1:1 Methanol/Acetone fixative for 1 hour at room temperature. Stained plates were then washed under running tap water and air dried before plaque counting.
2.5 Mosquito infection by artificial membrane feeding
Mosquitoes were orally challenged with ZIKV and DENVs using the Hemotek artificial membrane feeding system. Briefly, fifty 7-day-old female mosquitoes were deprived of sucrose solution for six hours before offering with an artificial infectious blood meal containing 40% human erythrocytes (washed twice with 1 volume of RPMI medium) and virus stock diluted to approximately 6 Log10 PFU/mL with L-15 supplemented with 10% FBS and 1X Pen/Strep at 37 °C for 30 minutes. The measured exact feeding titers for each virus were 6.26-6.54 log10 PFU/mL for DENV1, 6.32-6.38 log10 PFU/mL for DENV2, 6.40-6.41 log10 PFU/mL for DENV3, 6.08-6.34 log10 PFU/mL for DENV4, and 6.32-6.56 log10 PFU/mL for ZIKV. After feeding, mosquitoes were then anesthetized in a refrigerator for 15 minutes, and engorged females were sorted on ice. Blood fed mosquitoes were maintained in waxed paper cups with 10% sucrose solution in a climate-controlled chamber under controlled conditions of 28 °C ± 1 °C, a 12-hour light-dark cycle, and 70% relative humidity before tissue collection.
2.6 Estimation of blood meal size
The blood meal size of the blood engorged mosquitoes was estimated by quantifying the amount of heme. Recently blood engorged mosquitoes (approximately 30 minutes after offering the blood meal) were collected in 100 µL sterile Milli-Q water and stored at -80 °C until further analysis. The blood meal used in each blood feeding experiment was also stored at -80 °C for use as a standard. To measure heme amount, the stored mosquito samples were thawed and homogenized with 0.5 mm glass beads using Bullet Blender Tissue Homogenizer (NextAdvance). Supernatant of the homogenized samples was then collected after centrifugation at 8,000 xg, 4 °C for 2 minutes. Amount of heme in the supernatant was then measured using Heme assay kit (Sigma, MAK316) following the manufacturer’s protocol. Briefly, 50 µL of supernatant was added to 96-well plate containing 200 µL of heme assay reagent, incubated at room temperature for 5 minutes, and the absorbance was measured at 400 nm. Fifty microliter of Milli-Q water was used as a blank control. For the standard curve, six adult female mosquitoes were homogenized in 600 µL of Milli-Q water. The resulting homogenate was divided into six aliquots, each supplemented with 0, 1, 2, 3, 4, or 5 µL of blood meal. A 50 µL aliquot of each standard sample was then added to a 96-well plate containing 200 µL of heme assay reagent. The absorbance was measured, and a linear standard curve was generated. Blood meal size for each mosquito was calculated by interpolating the absorbance values from the standard curve.
2.7 Mosquito infection by intrathoracic injection
The intrathoracic inoculation was conducted by injected 100 nL of virus stock into the thorax of cold-anesthetized 4- to 7-day-old female mosquitoes using a nanoliter injector (Nanoject III; Drummond Scientific). The measured titers used for injection for each virus were 6.23-6.40 log10 PFU/mL for DENV1, 6.11-6.34 log10 PFU/mL for DENV2, 5.85-6.40 log10 PFU/mL for DENV3, 6.11-6.41 log10 PFU/mL for DENV4, and 6.36-6.48 log10 PFU/mL for ZIKV. Injected mosquitoes were then maintained on 10% sucrose solution at a condition as mentioned above.
2.8 Mosquito dissection and salivation assay
Mosquitoes were cold anesthetized in refrigerator for 15 minutes before surface sterilization in 70% ethanol for 1 minute followed by twice PBS washes. Mosquitoes were then individually dissected in drops of 1X PBS. Midguts, carcasses, and salivary glands were collected in 150 µL of MEM supplemented with 10% FBS and 1X Pen/Strep and stored at -80 °C for titration with plaque assay as described above.
Mosquito saliva was collected according to a previously published protocol [19]. Briefly, mosquitoes were paralyzed with triethylamine before inserting the proboscis into a pipette tip containing 20 µL of MEM supplemented with 10% FBS and 1X Pen/Strep. After 45 minutes of salivation, the medium in the tips were mixed with 180 µL of MEM supplemented with 2% FBS and 1X Antibiotics/Antimycotics (penicillin/streptomycin/amphotericin B) and immediately titrated by plaque assay mosquito.
2.9 Detection of Wolbachia by wsp gene detection
The presence of Wolbachia was detected by PCR of wsp gene following a previously published protocol [20]. Briefly, total DNA was extracted from whole mosquito sample using Quick DNA Mini Prep (Zymo Research, D3024) following manufacturer’s protocol. The PCR detection was conducted using 20 ng of DNA template in Luna Universal qPCR master mix (New England Biolabs, M3003S) with 0.1 µM of wsp-81F (5’-TGG TCC AAT AAG TGA TGA AGA AAC) and wsp-691R primers (5’-AAA AAT TAA ACG CTA CTC CA). The thermal cycling condition was: Initial denaturation of 98 °C for 30 sec, followed by 35 cycles of denaturation at 98 °C for 20 sec, annealing at 45 °C for 20 sec, and extension at 68 °C for 45 sec, followed by final extension at 68 °C for 5 min. Genomic DNA of Ae. albopictus and Culex quinquefasciatus were used as positive controls.
2.10 Data analysis
The Factor Analysis of Mixed Data (FAMD) [21] was used to identify relationship between infection prevalence/median from each infection experiment and mosquito species, virus, and tissue type. FAMD was conducted using FactoMineR package in R [22].
Statistical analyses in this study were conducted using the rstatix package (version 0.7.1) [23] in R (version 4.3.0). Multiple comparison was conducted using Kruskal-Wallis followed by Dunn’s posthoc test. Graphs were generated using the ggpubr package (version 0.6.0) [24] in R.
3 Results
Ae. scutellaris was successfully colonized and validated using molecular identification with COI gene (S1 File). Additionally, testing for the presence of Wolbachia revealed that this colonized population of Ae. scutellaris was free of Wolbachia (S2 Fig). In order to determine the vector competence of Ae. scutellaris for dengue virus serotypes 1–4 (DENV1–4) and Zika virus (ZIKV), we conducted a study to evaluate the intra-host infection kinetics of these viruses in a recently colonized Ae. scutellaris population. We compared the infection levels of Ae. scutellaris with those of laboratory colonies of Ae. aegypti and Ae. albopictus with high arbo-orthoflavivirus transmission efficiency. The mosquitoes were fed a blood meal containing approximately 6 Log10 PFU/mL of each virus. We assessed the extent of midgut infection 7 days post the infectious blood meal (dpibm), and then determined the dissemination, salivary gland infection, and transmissibility 14 dpibm (Fig 1). Additionally, due to a low engorgement rate of Ae. scutellaris from artificial membrane feeding, we also infected the mosquitoes by intrathoracic inoculation to determine vector competence when the mosquitoes were infected with the same amount of inoculating viruses. Virus replication in the body and salivary gland infection were determined at 4 days post intrathoracic injection (dpit), and transmissibility was determined at 11 dpit (Fig 1). The infection titers of all infected mosquitoes are provided in S1 Table, and the corresponding summary statistics are presented in S2 Table.
3.1 Aedes scutellaris exhibits a lower prevalence of midgut infection following artificial membrane feeding, but has the lowest salivary gland escape barrier compares to the other two Aedes species
The arbo-orthoflavivirus susceptibility and transmissibility of each Aedes species was compared as demonstrated by infection prevalence through each infection barrier (percent of mosquito with infectious virus specific body compartment in total blood fed mosquitoes). Factor analysis of mixed data (FAMD) was used to investigate the relationship between infection prevalence patterns and key determinants, including and mosquito species, and virus. We found that the prevalence of infection of Ae. scutellaris was similar to Ae. albopictus, both of which differ from Ae. aegypti (Fig 2A). To compare overall arbo-orthoflaviviruses susceptibility of each mosquito, we next compared infection prevalence by grouping the data according to mosquito species (Fig 2B-E).
(A) Factor Analysis of Mixed Data (FAMD) was used to visualize the relationships between infection prevalence results from each blood feeding experiment on transformed coordinates. Each dot represents infection prevalence data from an individual experiment. The information in the analysis included infection prevalence, mosquito species (Mosquito), and virus (VStrain). Clustering was based on qualitative coordinates (mosquito species, tissue, and virus), with each color indicating individuals belonging to a specific feature. Cluster distances reflect correlations among variables, and confidence ellipses highlight potential relationships. Abbreviation: Dim, dimension. Box and scatter plot comparing infection prevalence in the (B, F) midgut at 7 dpibm, (C, G) carcass at 14 dpibm, (D, H) salivary glands at 14 dpibm, and (E, I) saliva at 14 dpibm. Each dot represents infection prevalence from each blood feeding experiment. The boxes in the plots represent the interquartile range, and the whiskers indicate the range of maximum and minimum values, excluding outliers (less than Q1 - 1.5 X IQR, or more than Q3 + 1.5 X IQR). Statistical analyses were performed using the Kruskal-Wallis followed by Dunn’s post hoc test, with significance levels indicated as p < 0.05 (*) and p < 0.01 (**). Non-statistically significant results with p ≤ 0.1 were reported as numerical values. All infection experiments were conducted in two replicates, with a minimum of 8 mosquitoes per replicate, except for the carcass, salivary gland, and saliva samples of DENV2, which were derived from a single replicate due to unforeseen accidents during the experimental procedure. The image was created in BioRender (https://BioRender.com/p28g278).
The midgut overall arbo-orthoflaviviruses (ZIKV and DENV1–4) infection prevalence were the lowest in Ae. scutellaris followed by Ae. albopictus, and lastly Ae. aegypti with the median midgut infection prevalence of 50%, 58.3%, and 100%, respectively (Fig 2B). Given that the size of blood meal directly influences the inoculation size, it was possible that the observed differences in establishment of midgut infection were due to the differences in blood meal size. Therefore, we determined blood meal size by quantifying amount of heme in the blood engorged mosquitoes. We found that Ae. aegypti, Ae. albopictus, and Ae. scutellaris ingested 3.0 ± 0.4, 2.5 ± 0.7, and 1.6 ± 0.6 µL of blood, respectively (Fig 3). With the largest blood meal size among the three Aedes species, it was not surprising that Ae. aegypti had the highest midgut infection prevalence at 7 dpibm. Interestingly, despite Ae. scutellaris having a significantly smaller blood meal size than Ae. albopictus, the midgut infection prevalence was similar, suggesting a more permissive midguts of Ae. scutellaris compared to Ae. albopictus.
Box and scatter plot illustrating the blood meal size of the three Aedes species, with each data point representing an individual mosquito. Estimation of blood meal size was conducted by measuring the amount of heme in individual mosquito after blood engorgement. The scatter plot represents the estimated blood meal volume for each individual mosquito from all samples. The boxes in the plots represent the interquartile range, and the whiskers indicate the range of maximum and minimum values, excluding outliers (less than Q1 - 1.5 X IQR, or more than Q3 + 1.5 X IQR). Statistical analyses were performed using the Kruskal-Wallis followed by Dunn’s post hoc test, with significance levels indicated as p < 0.001 (***) and p < 0.0001 (****). Blood feeding conducted in two replicates, with a minimum of 8 mosquitoes per replicate.
In salivary glands, the median infection prevalence of arbo-orthoflaviviruses after infectious artificial blood meal differed significantly among mosquito species, with Ae. aegypti exhibiting the highest prevalence (75%), followed by Ae. albopictus (43.75%) and Ae. scutellaris (25%) (Fig 2C-D). Interestingly, despite Ae. scutellaris having a threefold lower prevalence of infection in salivary glands compared to Ae. aegypti, no statistically significant difference was observed in virus transmissibility between these two species (11.1% vs. 8.3%, respectively; Fig 2E). This observation indicates that Ae. scutellaris possesses a lower salivary gland escape barrier compared to Ae. aegypti. Additionally, Ae. albopictus had a median prevalence of 0% in saliva despite almost twofold higher prevalence of salivary gland infection, further supporting that Ae. scutellaris has a lower salivary gland escape barrier compared to other more extensively studied Aedes species.
3.2 Tissue-specific infection prevalence of arbo-orthoflaviviruses was driven by viral genetics
To investigate how infection prevalence varies by virus strain, we performed FAMD clustering based on virus-specific data. This analysis revealed that ZIKV, DENV1, and DENV3 clustered together, whereas DENV2 and DENV4 formed distinct groups (Fig 2A).
We next compared the overall infectivity of each virus by grouping infection prevalence data according to virus strain (Fig 2F-I). Across all three Aedes species, ZIKV and DENV3 exhibited the highest midgut infection prevalence with the median midgut infection prevalence of 96.9% and 100%, respectively (Fig 2F). In contrast, DENV1, DENV2, and DENV4 showed midgut infection prevalences of 65.5%, 27.8%, and 58.3%, respectively, indicating that ZIKV and DENV3 are particularly efficient at establishing primary midgut infection, while DENV2 is the least efficient.
In subsequent infection barriers, ZIKV consistently demonstrated the highest body, salivary gland, and saliva prevalence across all three Aedes species (Fig 2F-I). Among the DENVs, although DENV3 had the highest midgut infection, dissemination, and salivary gland infection, DENV1 salivary gland infection rates increased to levels comparable to DENV3, and surpassed DENV3 transmission rates. Interestingly, while DENV2 had the lowest midgut infection prevalence, the virus had low barrier during subsequent infection steps eventually resulting in similar transmissibility to DENV1 (Fig 2F-I). Conversely, despite DENV3 exhibiting the highest midgut infection prevalence, it was less efficient at overcoming subsequent infection barriers (Fig 2F-H), ranking among the least transmissible viruses (Fig 2I). Likewise, DENV4 also exhibited strong barrier during both salivary gland infection and escape (Fig 2H-I). Overall, these results indicate that tissue-specific infectivity phenotypes are largely determined by viral genetics, as the observed patterns for ZIKV and the DENVs remained consistent across all three Aedes species.
3.3 Tissues of all three Aedes species supported high level of arbo-orthoflavivirus replication
In addition to the infection prevalence, we also investigated how well the tissues of Ae. scutellaris support arbo-orthoflaviviruses replication (Fig 4). Because higher viral replication in insect vectors may increases transmission risk, we compared infectious virus levels in the body compartments of infected mosquitoes. The FAMD map suggested that the median virus titers in the infected Ae. aegypti was more similar to Ae. albopictus than Ae. scutellaris, which was different from the FAMD map of the infection prevalence that demonstrate more similarity between Ae. albopictus and Ae. scutellaris (Fig 2A). The differences between the FAMD map of infection prevalence and titers was also observed among the virus cluster. While the infection prevalence of DENV1, DENV3, and ZIKV were clustered together, only ZIKV and DENV1 were clustered together and the DENV3 became more similar to DENV2 and DENV4 (Fig 4A).
(A) FAMD factor maps to visualize variance between median infection titers from each blood feeding experiment on the transformed coordinates. Each dot represents median infection value from all the infection experiments. The information in the analysis included median infection titers, mosquito species (Mosquito), and virus (VStrain). The clustering is based on qualitative coordinates (mosquito species, tissue and virus), and each color represents individuals in a specific feature. Cluster distance represents the correlation among variables. The confidence ellipses indicate their potential relationships. Abbreviation: Dim, dimension. Box and scatter plot comparing infection titers of individual mosquito in the (B) midguts at 7 dpibm, (C) carcasses at 14 dpibm, (D) salivary glands at 14 dpibm, and (E) saliva at 14 dpibm. Each dot represents virus titers of individual mosquito. The boxes in the plots represent the interquartile range, and the whiskers indicate the range of maximum and minimum values, excluding outliers (less than Q1 - 1.5 X IQR, or more than Q3 + 1.5 X IQR). Only data from infected mosquitoes were used for analyses to allow for the comparison of infection levels in the infected mosquitoes. Groups with no positive virus in the samples were indicated with NA (not available). All the infection experiments were done in two replicates (minimum 8 mosquitoes per replicate) except for the dissemination, salivary gland infection and transmission of DENV2 that have only one replicate due to accidents during experimental procedure. Statistical analyses were conducted using Kruskal-Wallis test followed by post-hoc test with Holm–Bonferroni adjustment, *: p < 0.05, **: p < 0.01, ***: p < 0.001, and ****: p < 0.0001. The image was created in BioRender (https://BioRender.com/p28g278).
Further comparison of the midgut infection revealed that titers of ZIKV and DENV3 in infected Ae. scutellaris were significantly lower than in Ae. aegypti, but not for DENV1, DENV2, and DENV4 (Fig 4B). These findings indicate that Ae. scutellaris midguts can support similar levels of DENV1, DENV2, and DENV4 during the late stage of midgut infection, despite a smaller starting inoculum from a smaller blood meal size. Similarly, midgut titers of ZIKV in Ae. albopictus was significantly lower than Ae. aegypti while those of DENVs were similar among these two Aedes species or even higher than Ae. aegypti in the case of DENV4 (Fig 4B).
In the next infection barrier, the pattern of infection intensity (virus titers) in the carcasses were similar to those of the midgut infection levels, with Ae. scutellaris displaying comparable DENV2 and DENV4 titers, as well as lower ZIKV and DENV3 titers compared to Ae. aegypti (Fig 4C). Interestingly, DENV1 titers in the carcasses of Ae. scutellaris were significantly higher than those in Ae. aegypti, suggesting a higher level of DENV1 replication in Ae. scutellaris during the late stage of infection. In Ae. albopictus, the carcass titers of DENV1–4 were not different from Ae. aegypti but those of ZIKV were significantly lower.
The titers of each virus in the infected salivary glands were not statistically different among the three Aedes species (Fig 4D), indicating that these viruses can efficiently replicate in the salivary glands of Ae. scutellaris once infection is established. However, it should be noted that lack of significance can also possibly be due to the low number of infected salivary glands. Indeed, none of the Ae. scutellaris salivary glands were infected by DENV4.
3.4 Saliva viral loads of arbo-orthoflaviviruses in Aedes species following artificial membrane feeding were influenced by both viral and vector genetics
Among mosquitoes with detectable virus in saliva, Ae. aegypti exhibited comparable ZIKV titers to Ae. scutellaris but significantly higher titers than Ae. albopictus (Fig 4E) despite similar salivary gland viral loads across all three species. This suggests that Ae. albopictus possesses a strong salivary gland escape barrier, limiting the release of infectious virus into saliva compared to Ae. aegypti and Ae. scutellaris.
Among DENV serotypes, DENV1 titers in saliva were comparable across all three mosquito species, while DENV2 titers in Ae. aegypti were similar to those in Ae. scutellaris. Comparisons of DENV3 and DENV4 saliva titers between Ae. aegypti and the other two species were not possible due to the absence of virus-positive saliva samples in Ae. albopictus and Ae. scutellaris.
When comparing different DENV serotypes, although the differences were not statistically significant due to the low sample size, we observed trends suggesting variation in the ability of viruses to overcome the salivary gland escape barrier. While salivary gland viral titers were comparable across all DENV serotypes, DENV4 exhibited higher saliva titers, whereas DENV2 had lower saliva titers compared to DENV1 and DENV3. Given the limited number of virus-positive saliva samples, caution is required when interpreting these findings.
3.5 Aedes scutellaris is as robust as Aedes aegypti in arbo-orthoflavivirus transmission when inoculated with similar virus titers
Since Ae. scutellaris took a significantly smaller blood meal from the artificial membrane feeding (Fig 3), it is possible that the smaller starting inoculating virus affect the differential transmissibility phenotype among three Aedes species. Such effect from different amount of inoculating virus on transmissibility has been demonstrated, even with the same virus and mosquito strain in our previous detailed ZIKV infection kinetics study [19]. It is possible that the recently colonized Ae. scutellaris has not adapted to the laboratory environment, leading to an underestimation of its blood meal size during artificial membrane feeding. In natural settings, these mosquitoes may consume larger blood meals than what was observed in the laboratory, potentially resulting in an underestimation of their transmissibility. To overcome this limitation, we infected ZIKV or DENVs in the three Aedes species by intrathoracic injection to ensure equal virus inoculation. Here, each individual mosquitoes were injected with 100 nL of approximately 6 Log10 PFU/mL of virus (approximately 100 PFU). The body and salivary gland titers were measured at 4 dpit and transmission was evaluated by collecting saliva at 11 dpit.
The FAMD analysis of the infection prevalence data following intrathoracic injection revealed that the clusters of Ae. scutellaris and Ae. aegypti were almost identical suggesting similar infection prevalence patterns between the two mosquitoes (Fig 5A). In contrast to the blood feeding experiment, which demonstrated a lower infection and transmissibility of Ae. scutellaris compared to Ae. aegypti, we found that the infection prevalence of arbo-orthoflaviviruses of these two Aedes species were comparable throughout the mosquito transmission cycle (Fig 5B-D). While Ae. albopictus had similar infection prevalence in the body and salivary glands to the other two Aedes species, viral prevalence in saliva was significantly lower. Specifically, only 21.4% of Ae. albopictus had detectable virus in saliva, compared to 53.3% in Ae. aegypti and 60% in Ae. scutellaris (Fig 5D). This demonstrated a stronger salivary gland escape barrier in Ae. albopictus than the other two Aedes species.
(A) FAMD factor maps to visualize variance between prevalence from each intrathoracic injection experiment on the transformed coordinates. Each dot represents prevalence from all the infection experiments. The information in the analysis included median infection prevalence, mosquito species (Mosquito), and virus (VStrain). The clustering is based on qualitative coordinates (mosquito species, tissue and virus), and each color represents individuals in a specific feature. Cluster distance represents the correlation among variables. The confidence ellipses indicate their potential relationships. Abbreviation: Dim, dimension. Box and scatter plot comparing infection prevalence of individual mosquito in the (B) carcasses at 4 dpit, (C) salivary glands at 4 dpit, and (D) saliva at 11 dpit, grouping by mosquito species and virus. Each dot represents infection prevalence from each intrathoracic injection experiment. The boxes in the plots represent the interquartile range, and the whiskers indicate the range of maximum and minimum values, excluding outliers (less than Q1 - 1.5 X IQR, or more than Q3 + 1.5 X IQR). Statistical analysis comparing infection level was conducted using Kruskal-Wallis followed by Dunn’s post-hoc test in R. *: p < 0.05. Non-statistically significant results with p ≤ 0.1 were reported as numerical values. All the infection experiments were done in at least two replicates (minimum 12 mosquitoes per replicate). The image was created in BioRender (https://BioRender.com/p28g278).
When comparing infection prevalence between viruses following intrathoracic injection, ZIKV was consistently the most infectious virus across all tissues examined (Fig 5E-G). Among DENV serotypes, while DENV3 had the highest infection prevalence in the carcass and salivary glands following blood feeding, DENV1 became the most infectious DENV following intrathoracic injection, followed by DENV2, then DENV3 and DENV4 in that order (Fig 5E-F). At the transmission step, the infection prevalence ranking followed the order of DENV1 > DENV2 ~ DENV3 > DENV4, with DENV4 exhibiting the lowest prevalence in saliva. These findings align with those from the blood-feeding experiments, confirming that DENV3 and DENV4 exhibit lower infectivity during virus propagation and tissue invasion. This highlights serotype-specific differences in intra-host viral dynamics, which may influence vector competence and transmission efficiency across different Aedes species.
Unlike the infection prevalence, the FAMD analysis of median titers revealed distinct patterns of infection titers among the three Aedes species (Fig 6A). When comparing infection titers to Ae. aegypti, we found that Ae. scutellaris supported lower levels of ZIKV replication in the body and salivary glands but exhibited similar ZIKV titers in the saliva (Fig 6B-D). This suggests that Ae. scutellaris has a low ZIKV salivary gland escape barrier, allowing efficient virus release into saliva despite lower overall viral loads in other tissues.
Each dot represents median infection value from all the infection experiments. The information in the analysis included median infection titers, mosquito species (Mosquito), and virus (VStrain). The clustering is based on qualitative coordinates (mosquito species, tissue and virus), and each color represents individuals in a specific feature. Cluster distance represents the correlation among variables. The confidence ellipses indicate their potential relationships. Abbreviation: Dim, dimension. Box and scatter plot comparing infection titers of individual mosquito in the (B) carcasses at 4 dpit, (C) salivary glands at 4 dpit, and (D) saliva at 11 dpit, grouping by mosquito species and virus. Each dot represents infection titers from each intrathoracic injection experiment. The boxes in the plots represent the interquartile range, and the whiskers indicate the range of maximum and minimum values, excluding outliers (less than Q1 - 1.5 X IQR, or more than Q3 + 1.5 X IQR). Statistical analysis comparing infection level was conducted using Kruskal-Wallis followed by Dunn’s post-hoc test in R. *: p < 0.05, **: p < 0.01, ***: p < 0.001, and ****: p < 0.0001. All the infection experiments were done in at least two replicates (minimum 12 mosquitoes per replicate). The image was created in BioRender (https://BioRender.com/p28g278).
For DENV, Ae. scutellaris exhibited similar levels of virus propagation following intrathoracic inoculation in the body compared to Ae. aegypti, ultimately resulting in comparable saliva virus titers (Fig 6B-D). In contrast, Ae. albopictus demonstrated the most robust DENV replication in the body and salivary glands (Fig 6B-C), but its saliva titers varied by serotype (Fig 6D). Specifically, Ae. albopictus exhibited lower DENV1 saliva titers compared to the other two species, while having comparable titers for DENV2 and DENV4 (Fig 6D). Due to the absence of virus-positive samples in Ae. albopictus saliva for DENV3, we were unable to directly compare its saliva titers to those of Ae. aegypti and Ae. scutellaris (Fig 6D).
4 Discussion
To evaluate the potential role of Ae. scutellaris in DENV and ZIKV transmission, we compared the intra-host infection kinetics of these viruses in a recently colonized Ae. scutellaris with those of laboratory colonies of Ae. aegypti and Ae. albopictus, which are known to have high arbo-orthoflavivirus transmissibility. In fact, the laboratory Ae. aegypti strain was the most transmissible mosquito we have in our laboratory. The comparison to transmissibility of Ae. scutellaris to this highly transmissible strain thus highlight the transmission potential of Ae. scutellaris. Our research provides extensive insights into the vector competence of Ae. scutellaris for dengue and Zika viruses in relation to the more studied Ae. aegypti and Ae. albopictus, offering a deeper understanding of the potential role this mosquito species plays in the spread of the viruses.
Our findings suggest that blood meal size, which determines the initial inoculum size, may influence the establishment of midgut infection, a critical barrier for arbovirus transmission. Among the three species, Ae. aegypti exhibited the highest midgut infection prevalence, likely correlated with its larger blood meal size. However, we cannot exclude the possibility that Ae. scutellaris midguts are intrinsically less susceptible to arbo-orthoflaviviruses, regardless of inoculum size. Future experiments normalizing the viral dose across species by accounting for differences in blood meal volume would help elucidate the relative contributions of inoculum size versus midgut susceptibility to these differences. Interestingly, despite Ae. scutellaris acquiring significantly smaller blood meals compared to Ae. albopictus, the midgut infection prevalence was similar, suggesting that Ae. scutellaris midguts may be more permissive than those of Ae. albopictus. The midgut infection comprises of multiple steps including primary infection of virus from the blood meal to midgut epithelial cells, the replication of viruses in the primary infected cells and the spread of virus to other cells (secondary infection) [19]. Although our study did not pinpoint the specific step of midgut infection that constitutes a bottleneck for Ae. scutellaris and Ae. albopictus, the observation that midgut virus titers eventually reached comparable levels across the three species at later time points suggests that the primary barrier lies during the initial stages of the establishment of midgut infection of the virus in the blood meal.
Although not surprising, our study provided experimental evidence on the effect of blood meal size on vector competence. The size of blood meal determines the amount of virus initiating midgut infection, which directly determine the infection prevalence. In engorged mosquitoes, the smaller blood meal size decreased the number of virus initiating midgut infection, which has previously been demonstrated to influence the level of persistent infection across the tissues [19,25]. It is interesting to note that the comparative blood meal size between mosquito species and population has rarely been investigated despite its relevance to vector competence and vectorial capacity. In addition to vector competence, the differences in blood meal size may also determine the fecundity of female mosquitoes, thereby affecting mosquito population density. Our observations incite further investigation on the host and environmental factors determining blood meal size and the effect of blood meal size on mosquito biology.
Following the midgut infection, the infection prevalences in carcasses and salivary glands among the three Aedes species followed the same patterns as that in the midguts, with Ae. aegypti being the most permissible while Ae. scutellaris being the least permissible mosquitoes. These findings indicate that midgut infection serves as a critical bottleneck in the arbovirus transmission cycle, as successful viral establishment in the midgut is a key determinant for subsequent steps of transmission cycle.
The most concerning phenotype of Ae. scutellaris is its ability to support ZIKV and DENV replication and its low barrier for crossing tissue boundaries. In intrathoracic injection experiments, Ae. scutellaris demonstrated comparable transmissibility to Ae. aegypti despite having lower ZIKV titers in the salivary glands. Similarly, for DENV serotypes, Ae. scutellaris exhibited salivary gland and saliva viral titers comparable to those of Ae. aegypti, suggesting that it possesses a permissive transmission profile across multiple arboviruses.
While our study demonstrates the less permissive Ae. albopictus midgut for the establishment of midgut infection, there have been contradicting results regarding ZIKV and DENV establishment of midgut infection phenotype between Ae. albopictus and Ae. aegypti. Some studies found that Ae. albopictus had superior ability to support establishment of midgut infection to Ae. aegypti [26] while the others showed similar establishment of midgut infection [27,28] or the inferior midgut infection [29–32]. These contradicting results demonstrate varying degrees of midgut permissiveness of different mosquito populations from the same species. Regardless of the midgut infectivity, most of these studies demonstrated similar or superior propagation of ZIKV and DENV in the tissues of Ae. albopictus. However, despite the high level of virus titers in the tissues, the salivary gland escape barrier is likely a major limitation for ZIKV and DENV transmission by Ae. albopictus.
In addition to comparing vector competence phenotypes within mosquito species, we also examined the intra-host infection kinetics of ZIKV and DENV1–4 by standardizing blood meal or intrathoracic injection titers. Our findings reveal striking differences in the infection kinetics within the midgut, carcass, and salivary glands among the viruses studied, suggesting tissue-specific infection phenotypes for each virus. Specifically, ZIKV was the most infectious and transmissible virus compared to the DENVs. The virus was very efficient in establishment of midgut infection, propagation in secondary tissues and crossing intra-host infection boundaries, which eventually leads to the highest transmissibility. Despite a high transmissibility of ZIKV, the number of reported ZIKV cases in Thailand has been only a fraction of DENV cases suggesting that there might be other factors that limit ZIKV outbreak such as herd immunity in human populations [33] or the interaction with other co-circulating viruses [34]. Another explanation is that ZIKV surveillance is much more limited than DENVs thus the reported number did not reflect a real number of infections. Among DENVs, the establishment of midgut infection was the highest in DENV3 followed by DENV1, DENV4 then DENV2. Our results were different from a previous comprehensive intra-host infection kinetics by Novelo et al. [25], which showed that DENV1 and DENV2 had higher rates of midgut infection than DENV3 and DENV4 in terms of the establishment of midgut infection. Interestingly, while DENV3 efficiently established midgut infection, its replication rate within the mosquito may be lower during subsequent steps of infection. This is suggested by the gradual reduction in differences between DENV3 and DENV1/DENV2 infection levels in the carcasses and salivary glands. In addition to DENV3, DENV4 also showed low replication rate in the midguts and salivary glands, which was similar to what previously observed [25]. The differences in the infection pattern observed between our study and previous studies highlighted the influence of vector and virus genotypes on the infection phenotypes [35,36].
It should be noted that, for practical reasons, our study conducted the infection experiments with only one strain per virus. Except for ZIKV that we used a local strain, the DENVs used in this study were the contemporary DENV panel freely available from BEI Resources consisting of DENV1 UIS 998, DENV2 US/BID-V594/2006, DENV3 US/BID-V1043/2006, and DENV4 UIS 497. The reason why we opted for these DENVs was to allow comparison between our results and other infection studies in the future. Due to limited number of virus genotype used, it is possible that there may be specific interactions between mosquito and virus genotypes that influence infection outcome. Future works investigating the transmissibility of local mosquitoes and virus strains coupled with evaluation of vector population density in Zika and dengue endemic areas will provide a more comprehensive understanding on the role of each mosquito species in local virus transmission. Thailand offers a unique setting to conduct such future investigation due to an availability of weekly dengue case surveillance to district levels as well as research infrastructure.
The significance of our research is underscored by the potential of Ae. scutellaris in arbovirus circulation and outbreaks, especially considering changing climate patterns. Most existing studies on the geographical distribution of Ae. scutellaris are over a decade old [12,14,15], yet they similarly identified its high arbovirus transmission potential, consistent with our findings. Given this and the evolving environmental landscape, there is a critical need for updated investigations into its current distribution and possible variations in vector competence to better assess its role in future arbovirus dynamics. In addition to Ae. scutellaris, it is crucial to explore the vector competence of other members within the Scutellaris subgroup. While several studies have investigated the vector competence of Ae. polynesiensis, identifying its role as a vector for DENV, CHIKV, and ZIKV in the Pacific region [11,37], the potential involvement of other members in arbovirus transmission remains unestablished. Recognizing and understanding the role of this neglected vector species contributes not only to our understanding of disease transmission but also informs the development of effective vector control strategies.
Supporting information
S1 File. Sequencing and Blastn results of Cytochrome Oxidase I (COI) from colonized Aedes scutellaris.
https://doi.org/10.1371/journal.pntd.0012530.s001
(DOCX)
S1 Table. Virus titers of all samples in our infection study.
https://doi.org/10.1371/journal.pntd.0012530.s002
(CSV)
S2 Table. Summary statistics of infection titers for each experimental group.
https://doi.org/10.1371/journal.pntd.0012530.s003
(XLSX)
S3 Table. Summary of experimental design and sample size.
https://doi.org/10.1371/journal.pntd.0012530.s004
(XLSX)
S4 Table. Summary statistics of infection prevalence, mean, median, and standard deviation for each replicate.
https://doi.org/10.1371/journal.pntd.0012530.s005
(XLSX)
S1 Fig. ZIKV transmissibility of Thai Ae. aegypti and Ae. albopictus populations.
Box and scatter plot comparing virus titers in saliva at 14 dpibm. Each dot represents titers in saliva of each individual mosquito. The boxes in the plots represent the interquartile range, and the whiskers indicate the range of maximum and minimum values, excluding outliers (less than Q1 - 1.5 X IQR, or more than Q3 + 1.5 X IQR). The Ae. aegypti strains consist of two laboratory strains: DMSC and LVP and three field strains: NAK, CSP and BTY. The Ae. albopictus strains consist of one laboratory strain TH and one field strain SNS. The data were summarized from one blood feeding experiment with at least 30 mosquitoes per group. Statistical analysis comparing infection level was conducted using Kruskal-Wallis followed by Dunn’s post-hoc test for Ae. aegypti and Wilcoxon rank sum test for Ae. albopictus. *: p < 0.05.
https://doi.org/10.1371/journal.pntd.0012530.s006
(TIFF)
S2 Fig. Wolbachia detection in Ae. scutellaris.
The presence of Wolbachia was detected by PCR of wsp gene. None of the Ae. scutellaris samples were infected by Wolbachia while the wsp gene was detected in Ae. albopictus and Culex quinquefasciatus used as positive controls.
https://doi.org/10.1371/journal.pntd.0012530.s007
(TIFF)
Acknowledgments
The following reagent was obtained through BEI Resources, NIAID, NIH: Contemporary Dengue Virus Panel, NR-51131. The Asian ZIKV SV0010/15 was obtained from the Armed Forces Research Institute of Medical Sciences (AFRIMS) and the Department of Disease Control, Ministry of Public Health through the Cluster Program Management Office, NSTDA.
References
- 1. Bhatt S, Gething P, Brady O, Messina J, Farlow A, Moyes C. The global distribution and burden of dengue. Nat. 2013;496(7446):1–5.
- 2. Yang X, Quam MBM, Zhang T, Sang S. Global burden for dengue and the evolving pattern in the past 30 years. J Travel Med. 2021;28(8):taab146.
- 3. Metsky HC, Matranga CB, Wohl S, Schaffner SF, Freije CA, Winnicki SM. Zika virus evolution and spread in the Americas. Nat. 2017;546(7658):411–5.
- 4. Zhang Q, Sun K, Chinazzi M, Pastore Y Piontti A, Dean NE, Rojas DP, et al. Spread of Zika virus in the Americas. Proc Natl Acad Sci U S A. 2017;114(22):E4334–43. pmid:28442561
- 5. Bartlow AW, Manore C, Xu C, Kaufeld KA, Del Valle S, Ziemann A, et al. Forecasting Zoonotic Infectious Disease Response to Climate Change: Mosquito Vectors and a Changing Environment. Vet Sci. 2019;6(2):40. pmid:31064099
- 6. Campbell-Lendrum D, Manga L, Bagayoko M, Sommerfeld J. Climate change and vector-borne diseases: what are the implications for public health research and policy?. Philos Trans R Soc B. 2015;370(1665):20130552.
- 7. Liu-Helmersson J, Brännström Å, Sewe M, Semenza J, Rocklöv J. Estimating past present and future trends in the global distribution and abundance of the arbovirus vector Aedes aegypti under climate change scenarios. Front Public Health. 2019;7:148.
- 8. Ferguson N, Kien D, Clapham H, Aguas R, Trung V, Chau T. Modeling the impact on virus transmission of Wolbachia-mediated blocking of dengue virus infection of Aedes aegypti. PLoS Negl Trop Dis. 2015;7(279):279ra37.
- 9. Hoffmann AA, Montgomery BL, Popovici J, Iturbe-Ormaetxe I, Johnson PH, Muzzi F, et al. Successful establishment of Wolbachia in Aedes populations to suppress dengue transmission. Nature. 2011;476(7361):454–7. pmid:21866160
- 10. Harbach RE. Mosquito Taxonomic Inventory [Internet]. 2024 [cited 2024 Feb 6. ]. Available from: https://mosquito-taxonomic-inventory.myspecies.info/
- 11. Calvez E, Pocquet N, Malau A, Kilama S, Taugamoa A, Labrousse D, et al. Assessing entomological risk factors for arboviral disease transmission in the French Territory of the Wallis and Futuna Islands. PLoS Negl Trop Dis. 2020;14(5):e0008250. pmid:32401756
- 12. Moore PR, Johnson PH, Smith GA, Ritchie SA, Van Den Hurk AF. Infection and dissemination of dengue virus type 2 in Aedes aegypti, Aedes albopictus, and Aedes scutellaris from the Torres Strait, Australia. J Am Mosq Control Assoc. 2007;23(4):383–8. pmid:18240514
- 13.
Ritchie S, Montgomery B, Walsh I. Production of mosquitoes in rainwater tanks and wells on Yorke Island, Torres Strait: Preliminary study [Internet]. Australian Institute of Environmental Health; 2002. Available from: https://search.informit.org/doi/epdf/10.3316/informit.220017531829991
- 14. Rueda LM. Pictorial keys for the identification of mosquitoes (Diptera: Culicidae) associated with Dengue Virus Transmission. Zootaxa. 2004;589:1.
- 15. Marks E. A review of the Aedes scutellaris subgroup with a study of variation in Aedes pseudoscutellaris (theobald) (diptera: culicidae). Bull Br Mus Nat Hist Entomol. 1954;3:347–414.
- 16. Mackerras IM. Transmission of dengue fever by Aedes (Stegomyia) scutellaris Walk. in New Guinea. Trans R Soc Trop Med Hyg. 1946;40(3):295–312. pmid:20286128
- 17.
Huang Y. Contributions to the mosquito fauna of Southeast Asia. XIV. The subgenus Stegomyia of Aedes in Southeast Asia I - The scutellaris group of species. 1972.
- 18. Sumruayphol S, Apiwathnasorn C, Ruangsittichai J, Sriwichai P, Attrapadung S, Samung Y, et al. DNA barcoding and wing morphometrics to distinguish three Aedes vectors in Thailand. Acta Trop. 2016;159:1–10. pmid:26987285
- 19. Phengchat R, Pakparnich P, Pethrak C, Pengon J, Sartsanga C, Chotiwan N. Differential intra-host infection kinetics in Aedes aegypti underlie superior transmissibility of African relative to Asian Zika virus. mSphere. 2023;8(6):e00545-23.
- 20. Zhou W, Rousset F, O’Neil S. Phylogeny and PCR-based classification of Wolbachia strains using wsp gene sequences. Proc Biol Sci. 1998;265(1395):509–15. pmid:9569669
- 21. Pagès J. Analyse factorielle de données mixtes. Rev Stat Appl. 2004;52(4):93–111.
- 22. Lê S, Josse J, Husson F. FactoMineR: an R package for multivariate analysis. J Stat Softw. 2008;25(1).
- 23. Kassambara A. Rstatix: pipe-friendly framework for basic statistical tests. 2022. https://rpkgs.datanovia.com/rstatix/
- 24. Kassambara A. Ggpubr: “ggplot2” based publication ready plots. 2023. https://rpkgs.datanovia.com/ggpubr/
- 25. Novelo M, Hall MD, Pak D, Young PR, Holmes EC, McGraw EA. Intra-host growth kinetics of dengue virus in the mosquito Aedes aegypti. PLoS Pathog. 2019;15(12):e1008218. pmid:31790509
- 26. Bialosuknia SM, Zink SD, Brecher M, Ehrbar DJ, Morrissette MN, Kramer LD. Effects of zika virus strain and aedes mosquito species on vector competence. Emerg Infect Dis. 2017;23(7):1110–7.
- 27. Buckner EA, Alto BW, Lounibos LP. Vertical transmission of Key West dengue-1 virus by Aedes aegypti and Aedes albopictus (Diptera: Culicidae) mosquitoes from Florida. J Med Entomol. 2013;50(6):1291–7.
- 28. Whitehorn J, Kien DTH, Nguyen NM, Nguyen HL, Kyrylos PP, Carrington LB, et al. Comparative Susceptibility of Aedes albopictus and Aedes aegypti to Dengue Virus Infection After Feeding on Blood of Viremic Humans: Implications for Public Health. J Infect Dis. 2015;212(8):1182–90. pmid:25784733
- 29. Alto BW, Smartt CT, Shin D, Bettinardi D, Malicoate J, Anderson SL, et al. Susceptibility of Florida Aedes aegypti and Aedes albopictus to dengue viruses from Puerto Rico. J Vector Ecol. 2014;39(2):406–13. pmid:25424270
- 30. Chouin-Carneiro T, Vega-Rua A, Vazeille M, Yebakima A, Girod R, Goindin D, et al. Differential Susceptibilities of Aedes aegypti and Aedes albopictus from the Americas to Zika Virus. PLoS Negl Trop Dis. 2016;10(3):e0004543. pmid:26938868
- 31. Kobayashi D, Kai I, Faizah A, Moi M, Tajima S, Takasaki T. Comparative analysis of the susceptibility of Aedes aegypti and Japanese Aedes albopictus to all dengue virus serotypes. Trop Med Health. 2023;51(1):61.
- 32. Chouin-Carneiro T, David M, De Bruycker Nogueira F, Dos Santos F, Lourenço-de-Oliveira R. Zika virus transmission by Brazilian Aedes aegypti and Aedes albopictus is virus dose and temperature-dependent. PLoS Negl Trop Dis. 2020;14(9):e0008527.
- 33. Siedner MJ, Ryan ET, Bogoch II. Gone or forgotten? The rise and fall of Zika virus. Lancet Public Health. 2018;3(3):e109–10. pmid:29519697
- 34. Peng J, Zhang M, Wang G, Zhang D, Zheng X, Li Y. Biased virus transmission following sequential coinfection of Aedes aegypti with dengue and Zika viruses. PLoS Negl Trop Dis. 2024;18(4):e0012053. pmid:38557981
- 35. Fansiri T, Fontaine A, Diancourt L, Caro V, Thaisomboonsuk B, Richardson JH, et al. Genetic mapping of specific interactions between Aedes aegypti mosquitoes and dengue viruses. PLoS Genet. 2013;9(8):e1003621. pmid:23935524
- 36. Lambrechts L, Chevillon C, Albright RG, Thaisomboonsuk B, Richardson JH, Jarman RG, et al. Genetic specificity and potential for local adaptation between dengue viruses and mosquito vectors. BMC Evol Biol. 2009;9:160. pmid:19589156
- 37. Calvez E, Mousson L, Vazeille M, O’Connor O, Cao-Lormeau V-M, Mathieu-Daudé F, et al. Zika virus outbreak in the Pacific: Vector competence of regional vectors. PLoS Negl Trop Dis. 2018;12(7):e0006637. pmid:30016372