Abstract
BACKGROUND
Yellow fever virus (YFV) re-emerged among non-human primates (NHPs) in Rio Grande do Sul in early 2021, more than a decade after its last detection in the state. The spread of the virus was accompanied by increased mortality among NHPs.
OBJECTIVES
To conduct entomological surveillance and molecular detection of YFV and other Orthoflavivirus species in mosquito samples collected from affected and potentially receptive areas.
METHODS
Mosquitoes were collected during epizootics using human landing catches, BG-Pro traps, and ovitraps. Virus detection was performed using reverse transcription real-time polymerase chain reaction (RT-qPCR) assays targeting YFV and pan-Orthoflavivirus sequences.
FINDINGS
A total of 1,210 mosquitoes, representing 26 taxa, were collected across 17 municipalities. Psorophora ferox was the most abundant species, followed by Culex (Culex) spp., accounting for 27% and 12% of the specimens, respectively. Haemagogus leucocelaenus, the primary YFV vector in the region, was also among the most frequently captured species, representing 7%. In total, 203 mosquito pools were assembled by species, location, and date of collection. RT-qPCR analysis did not detect YFV or other Orthoflavivirus RNA in any of the samples.
MAIN CONCLUSIONS
Although mosquitoes were collected during a period of active YFV circulation, the absence of virus detection suggests that arboviral circulation in vector populations may occur at low frequencies, even during outbreaks.
Key words: yellow fever virus, arboviruses, Culicidae, mosquito vectors, viral zoonosis
Orthoflavivirus flavi, widely known as yellow fever virus (YFV), is the prototype virus of the genus Orthoflavivirus, family Flaviviridae. It is an endemic arbovirus in tropical and subtropical regions. 1 In South America, YFV is maintained through two distinct transmission cycles: urban and sylvatic. The urban cycle involves the mosquito Aedes aegypti and humans. 2 Due to the temporary eradication of Ae. aegypti between the 1940s and 1960s, along with human vaccination efforts, the urban transmission cycle was interrupted, and the virus remained confined to forested areas, where the sylvatic cycle persists. In these areas, native mosquitoes of the genera Haemagogus and Sabethes serve as vectors, non-human primates (NHPs) act as amplifier hosts. 3 In Brazil, NHPs are used as sentinels for YFV surveillance due to their high susceptibility to infection. 4 Humans, within the sylvatic cycle, are considered incidental hosts, with infections occurring sporadically, developing disease and viraemia, although they generally do not sustain transmission. 5
In Brazil, YFV is endemic in the Amazon rainforest, but epidemic activity has extended to the southern limits of the Atlantic Forest. YFV circulation in extra-Amazonian regions has been reported since the early 2000s. 3 From 2014 onwards, the virus expanded from the Cerrado biome in northern Brazil to other regions, causing high mortality in NHPs. 3 Between 2016 and 2019, YFV reached the Atlantic Forest in the southeast, the most densely populated region of the country, triggering the largest sylvatic YFV outbreak ever recorded in Brazil. 4 ,6 During this period, more than 2,000 human cases and over 700 fatalities were reported, this significant outbreak was primarily attributed to the lack of vaccination among the local population. 7 Since 2019, YFV has also been detected among NHPs in southern Brazil 8 and, in early 2021, the virus reached Rio Grande do Sul (RS), Brazil's southernmost state, after more than a decade without recorded activity. 9
In the 21st century, the first YFV epizootic outbreak in RS occurred between 2001 and 2002, and was restricted to the northwestern region of the state. During this event, NHP deaths were recorded, but no human cases were reported. 10 The largest sylvatic YFV outbreak in the RS took place between 2008 and 2009. Again, NHP deaths began in the northwest and subsequently spread to central and northern regions. 11 This outbreak resulted in 21 confirmed human cases, including nine fatalities. Additionally, 204 NHP deaths were confirmed by laboratory diagnosis, although the number of NHPs affected is estimated to exceed 2,000. 12 In the 2021 epizootic outbreak, the YFV dispersion wave reached the northeastern region of RS via neighbouring states, a marked shift from previous outbreaks, which typically entered through the northwest, bordering Argentina. 9 The virus then progressed southward, and also affected areas in the central and northwestern regions of the state. 13 In total, 420 NHP deaths were reported in 2021, of which 126 were laboratory-confirmed as YFV-positive. Notably, the majority of NHP cases occurred during the first semester of the year, with a marked decline in reports coinciding with the onset of the colder season, which is unfavourable for mosquito activity. 13 As a result of prior vaccination efforts and heightened public awareness, no human infections were reported throughout 2021. 13
In addition to the circulation of YFV, there is evidence supporting the presence of other orthoflaviviruses in RS. In urban settings, dengue virus, transmitted by Ae. aegypti, has been circulating autochthonously in humans since 2007, with a marked increase in human incidence observed from 2021 onward. 13 ,14 Zika virus has also been generating human cases since 2017, although with a lower incidence compared to dengue. 13 ,15 Although no human cases have been officially reported in RS for other orthoflaviviruses, indirect historical evidence suggests their circulation among wild and livestock animals, indicating potential zoonotic risk. Antibodies against Orthoflavivirus nilense (West Nile virus, WNV) have been detected in birds and horses, 16 ,17 and antibodies for Orthoflavivirus louisense (St. Louis encephalitis virus, SLEV) and Orthoflavivirus ilheusense (Ilheus virus, ILHV) have been found in NHPs. 18 ,19 Considering the evidence of arbovirus circulation in RS, this study aimed to analyse sylvatic mosquitoes collected during the YFV outbreak for the presence of YFV and other orthoflaviviruses.
MATERIALS AND METHODS
Study area - Rio Grande do Sul is the southernmost state in Brazil, bordering Uruguay and Argentina. The state covers an area of 281,707 km² and comprises 497 municipalities, with an estimated population of over 10 million people. Two major biomes occur in RS: the Pampa, a grassland biome where forests are limited to riparian zones and isolated patches, and the Atlantic Forest, a forest biome influenced by its proximity to the ocean. 20
Mosquito sampling and taxonomic identification - The study was conducted with support from the Environmental Health Surveillance Division (DVAS) of the Rio Grande do Sul State Health Surveillance Centre (CEVS). Mosquito collections were carried out from February 2021 to February 2022 during the summer and spring seasons in forested areas of several municipalities in RS. Due to the emergency context of an active YFV outbreak, sampling procedures were not standardized across locations. Field strategies were dynamically adjusted based on real-time notifications of sick or dead NHPs recorded by DVAS, prioritizing newly affected areas (Fig. 1). Mosquito sampling was carried out concurrently with epizootic investigations and up to 25 days thereafter. Additionally, collections were extended to ecologically connected municipalities, areas with YFV circulation in previous years and two municipalities [Pinhal da Serra (PDS) and Esmeralda (ESM)] revisited approximately one year after the initial epizootic events [Supplementary data (Table)].
Fig. 1: study area in Rio Grande do Sul (RS) State. (A) Map highlighting the spacial position of Brazil and RS. (B) Biome division of RS (Atlantic Forest and Pampa grasslands). (C) RS map highlighting the affected area by the yellow fever virus (YFV) (in red) according with the criteria established by the Environmental Health Surveillance Division (DVAS) of the Rio Grande do Sul State Health Surveillance Centre (CEVS) and the 17 municipalities where mosquitos are collected (in yellow): André da Rocha (ADR), Bossoroca (BOS), Campestre da Serra (CDS), Derrubadas (DER), Dois Irmãos (DOI), Esmeralda (ESM), Ipê (IPE), Jaquirana (JAQ), Machadinho (MAC), Pinhal da Serra (PDS), Porto Alegre (POA), Protásio Alves (PRA), Rolante (ROL), Santo Antônio das Missões (SAM), São José do Ouro (SJO), Tupanci do Sul (TDS), Vacaria (VAC).
In all areas, adult mosquitoes were collected using the human landing catch (HLC) method, which relies on the natural production of carbon dioxide (CO₂), heat, and human odour to attract mosquitoes seeking hosts. Between two and five collectors performed the HLC method using entomological nets and manual aspirators, operating during the day (9:00 a.m.-4:00 p.m.), for variable periods depending on field conditions.
At municipalities Santo Antônio das Missões (SAM), Derrubadas (DER), and ESM, additional collections were conducted using BG-Pro traps (Biogents AG, Regensburg, Germany). Each trap was baited with 2 kg of dry ice (as a CO₂ source) and an artificial attractant (BG-Lure unit; Biogents AG). Five traps were installed 1.5 metres above ground level, in the same locations where the HLC sampling was performed, and operated for 24 hours.
In SAM, 10 ovitraps baited with an infusion of dried forest floor leaves were installed 1.5 metres above ground level, each containing two wooden paddles. The traps remained in place for 15 days. Wooden paddles bearing mosquito eggs were immersed in water to induce hatching, and the resulting larvae were reared to adult stage in the laboratory for identification.
Mosquito handling and identification - After collection, the insects were quickly frozen, transferred to cryogenic tubes, and stored in containers filled with dry ice (-70 ºC). The specimens remained frozen during transport to the laboratory, where they were stored at -80ºC until identification. Mosquitoes were identified under a stereomicroscope on a cold table set at -20ºC, using dichotomous keys based on female morphological characteristics. 21 ,22 ,23 Identified adult specimens were grouped into pools (≤ 10 individuals) according to species, sampling site, and collection date.
Statistical analysis - Species richness and abundance indices were calculated for the entire mosquito community based on the total number of captured specimens. In areas where multiple collection methods were applied, the differences in species richness and abundance among methods were evaluated. The average number of specimens captured by each method was assessed for normality using the Shapiro-Wilk test and compared using analysis of variance (ANOVA), followed by Tukey's post-hoc test. Statistical significance was set at p < 0.05. Analyses were performed using R software.
Virus detection - Mosquito pools were homogenised in 300 μL of L-15 culture medium containing 1% penicillin-streptomycin, and 10% foetal bovine serum (FBS) using the Precellys® 24 tissue homogeniser (Bertin Technologies, France) with glass beads. The homogenates were clarified by centrifugation at 12,500 g for 5 min at 4ºC. Supernatants were collected and subjected to RNA extraction using the Extracta® Kit Fast (Loccus, Cotia, Brazil) in the EXTRACTA® 96 automated extractor (Loccus), following the manufacturer's instructions.
Reverse transcription was performed using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems™, Foster City, USA) with 1.5-2 μg of total RNA in a 20 μL reaction, according to the manufacturer's protocol. Quantitative polymerase chain reaction (qPCR) specific for YFV was carried out using primers and probes targeting a 97 bp region of the YFV NS1 gene. 24 To detect other members of the Orthoflavivirus genus, an additional qPCR was performed using a pan-Orthoflavivirus assay. 25 The list of primers used for amplification is provided in Table I.
TABLE I. Primers and probes used for yellow fever virus (YFV) and pan-Orthoflavivirus real-time quantitative polymerase chain reaction (RT-qPCR) assays.
| qPCR assay | Primer & Probe | Sequence (5'- 3') |
|---|---|---|
| YFV | YFallF | GCTAATTGAGGTGYATTGGTCTGC |
| YFallR | CTGCTAATCGCTCAAMGAACG | |
| YFallP | FAM-ATCGAGTTGCTAGGCAATAAACAC-TAMRA | |
| Pan-Orthoflavivirus | Flavi all S2 | TACAACATGATGGGMAAACGYGARAA |
| Flavi all AS4 | GTGTCCCAGCCNGCKGTRTCRTC | |
| Flavi all probe 1 | FAM-TGGTWYATGTGGYTNGGRGC-TAMRA | |
| Flavi all probe 2 | FAM-CCGTGCCATATGGTATATGTGGCTGGGAGC-TAMRA | |
| Flavi all probe 3 | FAM-TTTCTGGAATTTGAAGCCCTGGGTTT-TAMRA |
To determine the detection limit of the pan-Orthoflavivirus assay, serial dilutions of a plasmid (10-10⁷ copies/μL) were prepared in triplicate. The plasmid was generated by cloning a 260 bp fragment of the NS5 gene (obtained from the YFV vaccine strain) into the TOPO TA vector (Invitrogen), following the manufacturer's instructions. Plasmid concentration was measured by spectrophotometry, and the same plasmid was used as a positive control in all PCR assays. Considering that the first dilution of the control plasmid contained 14 x 10⁸ genomic copies per microliter of the target fragment, the detection limit obtained was between 1 and 10 copies/reaction. For both assays' amplifications were performed under the following conditions: incubation at 55ºC for 2 min, polymerase activation and initial denaturation at 95ºC for 20 s and 45 cycles of denaturation at 95ºC for 1 s and extension/annealing at 60ºC for 25 s.
RESULTS
Between February 2021 and February 2022, 17 municipalities in RS were sampled, 14 of which were considered YFV affected areas, based on the detection of the virus in NHPs. In total, 1,210 individuals from the Culicidae family were collected. It was possible to categorize the specimens into 26 taxa; of these, 20 species were identified (Table II).
TABLE II. Abundance of Culicidae collected between February 2021 and January 2022 in 17 municipalities of Rio Grande do Sul.
| Municipality | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Taxa | ADR* | BOS | CDS* | DER | DOI* | ESM* | IPE* | JAQ* | MAC | PDS* | POA* | PRA* | ROL* | SAM | SJO* | TDS* | VAC* |
| Anophelinae | |||||||||||||||||
| Anopheles (Anopheles) fluminensis Root, 1927 | 2 | 2 | 2 | ||||||||||||||
| Anopheles (Kerteszia) cruzii Dyar & Knab, 1908 | 7 | ||||||||||||||||
| Anopheles (Nyssorhynchus) albitarsis Lynch Arribálzaga, 1878 | 2 | ||||||||||||||||
| Anopheles (Nyssorhynchus) spp. | 1 | 3 | |||||||||||||||
| Culicinae | |||||||||||||||||
| Aedini | |||||||||||||||||
| Aedes (Georgecraigius) fluviatilis (Lutz, 1904) | 2 | 3 | |||||||||||||||
| Aedes (Ochlerotatus) crinifer (Theobald, 1903) | 2 | 1 | 7 | 18 | |||||||||||||
| Aedes (Ochlerotatus) fulvus (Wiedemann, 1828) | 1 | ||||||||||||||||
| Aedes (Ochlerotatus) scapularis (Rondani, 1848) | 32 | 14 | 10 | 2 | 1 | ||||||||||||
| Aedes (Protomacleaya) terrens (Walker, 1856) | 2 | 2 | 1 | ||||||||||||||
| Aedes (Stegomyia) albopictus (Skuse, 1895) | 1 | 41 | |||||||||||||||
| Haemagogus (Conopostegus) leucocelaenus (Dyar & Shannon, 1924) | 13 ** | 1 | 15 ** | 1 ** | 2 ** | 1 ** | 51 | 1 | |||||||||
| Psorophora (Janthinosoma) ferox (von Humboldt, 1819) | 2 | 1 | 138 | 1 | 92 | 1 | 31 | 61 | 1 | ||||||||
| Culicini | |||||||||||||||||
| Culex (Culex) Grupo coronator | 2 | 1 | 1 | 1 | |||||||||||||
| Culex (Culex) spp. | 4 | 8 | 1 | 4 | 1 | 1 | 118 | 2 | 2 | ||||||||
| Mansoniini | |||||||||||||||||
| Coquillettidia (Rhynchotaenia) spp. | 5 | ||||||||||||||||
| Coquillettidia (Rhynchotaenia) venezuelensis (Theobald, 1912) | 1 | ||||||||||||||||
| Mansonia (Mansonia) pseudotitillans (Theobald, 1901) | 2 | ||||||||||||||||
| Mansonia (Mansonia) titillans (Walker, 1848) | 97 | 2 | 1 | ||||||||||||||
| Sabethini | |||||||||||||||||
| Sabethes (Peytonulus) aurescens (Lutz, 1905) | 126 | 1 | |||||||||||||||
| Sabethes (Sabethes) albiprivus Theobald, 1903 | 7 | 4 | 1 | 1 | 1 | 1 | 56 | 1 | |||||||||
| Sabethes (Sabethes) purpureus (Theobald, 1907) | 1 | 2 | |||||||||||||||
| Wyeomyia spp. | 4 | 3 | 9 | 43 | 2 | 2 | |||||||||||
| Wyeomyia (Phoniomyia) spp. | 2 | 3 | |||||||||||||||
| Trichoprosopon pallidiventer (Lutz, 1905) | 2 | 59 | 2 | 2 | 1 | ||||||||||||
| Wyeomyia (Phoniomyia) davisi (Lane & Cerqueira, 1942) | 3 | ||||||||||||||||
| Wyeomyia (Phoniomyia) lopesi (Correa & Ramalho, 1956) | 15 | ||||||||||||||||
| Abundance | 6 | 29 | 7 | 197 | 7 | 258 | 7 | 13 | 4 | 128 | 180 | 2 | 38 | 292 | 1 | 6 | 5 |
| Richness | 3 | 5 | 3 | 10 | 5 | 12 | 5 | 5 | 2 | 6 | 9 | 2 | 4 | 8 | 1 | 3 | 4 |
*Municipalities affected by YFV; **New municipalities with occurence of Haemagogus leucocelaenus; municipalities: André da Rocha (ADR), Bossoroca (BOS), Campestre da Serra (CDS), Derrubadas (DER), Dois Irmãos (DOI), Esmeralda (ESM), Ipê (IPE), Jaquirana (JAQ), Machadinho (MAC), Pinhal da Serra (PDS), Porto Alegre (POA), Protásio Alves (PRA), Rolante (ROL), Santo Antônio das Missões (SAM), São José do Ouro (SJO), Tupanci do Sul (TDS), Vacaria (VAC).
The most abundant mosquito species was Psorophora ferox, followed by Cx. (Cux.) spp., comprising 27% and 12% of the mosquitoes collected respectively. These taxa were also the most widespread, being present in more than half of the sampled municipalities (52.9%). The yellow fever vector Hg. leucocelaenus was the fifth most abundant (7%) and was present in almost half of the municipalities sampled (47%). Species of the genus Sabethes and Aedes also appear among the most collected mosquitoes in this study (Fig. 2).
Fig. 2: abundance (A) and presence (B) of 26 mosquito taxa collected between February 2021 and February 2022 in Rio Grande do Sul.
When comparing the HLC and BG-Pro collection methods, there were no statistical differences between the total mosquito capture averages (p = 0.82). However, when comparing the capture of specific genera, it was observed that the BG-pro traps captured more Culex, but these traps did not capture any mosquitoes of the genus Haemagogus. When ovitraps were used, 30 individuals were collected, all belonging to the species Hg. leucocelaenus (Fig. 3).
Fig. 3: abundance of different genera collected in the municipalities of Derrubadas (DER), Esmeralda (ESM) and Santo Antônio das Missões (SAM), where collections were carried out with human landing catch (HLC), BG-Pro traps and ovitraps. The bar colours represent the different genera of mosquitoes sampled.
In total, 203 pools of mosquitoes, separated by species, location and date of collection, were processed and submitted to a specific RT-qPCR for YFV and to a Pan-Orthoflavivirus RT-qPCR. All 203 pools tested negative in both RT-qPCR assays.
DISCUSSION
At the beginning of 2021, YFV reached RS, the southernmost state in Brazil. Virus spread in different municipalities was accompanied by deaths of native NHPs. 9 Seeking to identify YFV and other arboviruses circulating in sylvatic areas in RS, mosquitoes were obtained from the same sites where circulation of YFV was identified when samples from NHPs were examined.
Regarding the abundance and distribution of the mosquito species found, Ps. ferox was the most abundant in the sampled areas. This mosquito is notably aggressive and exhibits a generalist feeding behaviour, obtaining blood from multiple mammalian groups, including NHPs, and to a lesser extent, from birds. 26 Due to this behaviour, this species has been found naturally infected with several viruses, such as YFV, although in vector competence tests it has not been able to transmit this virus. 6 The high proportion of Ps. ferox described here corroborates with previous findings in RS. 27 Specimens classified as Cx. (Cux.) spp. were the second most abundant and constant in the sampled areas. These were identified to the subgenus level due to the high similarity between species. Members of this group are probable vectors of SLEV and WNV in South America. 28 ,29 Corroborating this study, a review shows that this genus is widely distributed throughout RS. 30 Hg. leucocelaneous was also frequently found in the sampled areas. This species has a wider distribution, occurring from the Amazon to the southern limit of the Atlantic Forest. 31 It is noteworthy to mention that in Brazil and in other countries the genus Haemagogus has a major importance as the main vectors in the YFV sylvatic transmission cycle. The epidemiological importance of Hg. leucocelaneous increases in south of Brazil, where other species of this genus are absent. 32 Although not the most abundant, this species has been consistently recorded in studies conducted in the Atlantic Forest of Rio Grande do Sul. 27 ,32 Our findings reveal the presence of this species in municipalities where it had not been previously recorded, highlighting the potential susceptibility of these areas to YFV circulation. Here, the most abundant and widespread species of genus Sabethes, which can also be related to YFV spread, was Sa. albiprivus, that has already been found naturally infected by YFV in Argentina, close to the west border of RS. 33 This species was also found infected during the dry period in the Brazilian Cerrado. 34 Despite limited evidence of natural infections of this species, its role as secondary vector of YFV cannot be neglected. Sa. purpureus and Sa. aurescens were also found, however, to this date, they have not been found naturally infected by YFV. Members of the genus Aedes were also found here, including Ae. scapularis and Ae. albopictus, both previously found infected with YFV in Brazil. 35 ,36 The latter is very opportunistic and strongly anthropophilic, so it's frequently captured in urbanised areas and in the transition between forest and city. 37 ,38 The likelihood of spillover events is closely linked to the ecological and behavioural traits of mosquito species, particularly their host-feeding preferences, population density, and adaptability to anthropogenic environments. For this reason, Ae. albopictus is often highlighted as a possible bridge between the urban and sylvatic cycle of YFV. 39 In addition to reports of natural infection, vector competence assays have confirmed its ability to acquire and transmit YFV, although at low rates. 40 As in previous studies carried out in forested areas of Porto Alegre (POA), the Ae. albopictus has been captured in higher abundance than Hg. leucocelaenus. 37 ,38
Although there were no significant differences between the total average of captures between the BG-Pro traps and HLC, in this study these traps did not capture mosquitoes of the genus Haemagogus; however, they captured more Culex, which are nocturnal vectors and were captured in smaller quantities manually. These findings are consistent with another study carried out in forest areas in the metropolitan region of RS, where these traps captured a large number of nocturnal vectors, mainly of the Culex genus and only one individual of the Haemagogus genus. 38 Others studies conducted on the Amazon rainforest also demonstrate low efficiency in capturing Haemagogus mosquitoes from BG-Pro traps compared with HCL. 41 ,42 A study comparing different collection methods carried out in the Atlantic Forest of the State of São Paulo also showed low efficiency in capturing YFV vectors using light-traps baited with the artificial attractant BG-Lure. 43 Even though these traps are highly effective in capturing urban vectors, the few studies using these traps to collect wild mosquitoes in Brazil indicate low efficiency in capturing mosquitoes of the genus Haemagogus. The ovitraps installed at SAM captured only Hg. leucocelanus eggs, demonstrating the strong potential of this method in monitoring the main vector of YFV in RS. This methodology has already proven effective in capturing Haemagogus mosquitoes in the Atlantic Forest. 44 It also enables molecular detection of YFV in mosquito samples after development into adult stage. 45
In the present study, viral RNA was not detected following application of RT-qPCRs (either when specific primers for YFV or when primers for a wider group of orthoflaviviruses were used). In the zoonotic outbreak of YFV recorded in the RS between 2001 and 2002, the YFV was isolated from the vector Hg. leucocelaenus, the infection rate found in that occasion was 8.7%. 10 The largest YFV outbreak recorded in Rio Grande do Sul occurred between 2008 and 2009. During this period, YFV was again isolated from the vector Hg. leucocelaenus, with an infection rate of 3.7%. On that occasion, Ae. serratus was also found infected and was considered a potential secondary vector. 32 In the present study, however, this species was not sampled. Notably, these previous studies differed from the current approach by collecting mosquito specimens from a limited number of municipalities and employing intracerebral inoculation in mice as the primary method for viral detection. The low YFV infection rates reported in those studies may explain the absence of YFV-positive samples in the present survey.
Although no positive sample for orthoflaviviruses were detected in the present study, this result agrees with other studies carried out in Brazil. These methods have already been used on mosquito samples collected in urban parks in São Paulo, mainly with Ae. aegypti and Cx. spp. and, similar to this study, no positive samples were found. 46 These primers and probes were applied to historical samples, the Iguape virus was detected in samples of Anopheles cruzii, and Ilheus virus in samples of Culex sp., Coquillettidia juxtamansonia and An. triannulatus. 47 This same RT-qPCR was also used for viral identification after inoculation of mosquito samples from Brazil in cell culture. After inoculation in C6/36 cells it was detected Zika virus in pools of An. cruzii, Limatus durhamii and Weomyia confusa, dengue virus serotype 2 in Cx. spp. and Cx. vaxus and the insect specific virus (ISV), virus Guapiaçu, from samples of Ae. scapularis and Ae. Terrens. 48 ,49
It is possible that strategies that aim to increase the initial viral load, such as previous inoculation in cell culture or in mice brain, could improve the detection of Orthoflavivirus in samples with low viral loads. Furthermore, although orthoflaviviruses were not detected, the possibility of circulation of ISV and arboviruses belonging to other genera, such as Alphavirus or Orthobunyavirus, cannot be ruled out. In addition, it is important to highlight that the presence of potential YFV vectors in the study areas indicate the possibility of virus circulation as soon as it reaches enough hosts to establish an outbreak. This fact, by itself, shows how imperative is to keep the surveillance of mosquitoes in areas where previous outbreaks of YFV were recognised.
SUPPLEMENTARY MATERIALS
ACKNOWLEDGEMENTS
To the contributions of the Divisão de Vigilância Ambiental em Saúde (DVAS/CEVS/SES-RS), which played a central role in preparing for the viral outbreak response and conducting field investigations. We also thank to the Centro de Desenvolvimento Científico e Tecnológico (CDCT/CEVS/SES-RS) for their assistance and access to equipment, and the Laboratório Multiusuário de Biologia Molecular (MultiBioMol/ICBS/UFRGS) for the support provided by their team and for granting access to essential equipment, which greatly contributed to the development of this work.
Funding Statement
The project was supported by grants from CNPq/Departamento de Ciência e Tecnologia/Secretaria de Ciência, Tecnologia e Insumos Estratégicos/Brazilian Ministry of Health (CNPq/Decit/SCTIE/MS) (grant number 443215/2019-7 to ACF, PMR and FSC).
Footnotes
Financial support: The project was supported by grants from CNPq/Departamento de Ciência e Tecnologia/Secretaria de Ciência, Tecnologia e Insumos Estratégicos/Brazilian Ministry of Health (CNPq/Decit/SCTIE/MS) (grant number 443215/2019-7 to ACF, PMR and FSC).
Oliveira TMP, Foster PG, Sá ILR, Sallum MAM. Mitochondrial genomes and phylogeny of Atratus and Educator Group species of the Melanoconion Section of Culex (Melanoconion) (Diptera: Culicidae). Mem Inst Oswaldo Cruz. 2025; 120: e250125.
DATA AVAILABILITY
The contents underlying the research text are included in the manuscript.
REFERENCES
- 1.Postler TS, Beer M, Blitvich BJ, Bukh J, Lamballerie X, Drexler JF, et al. Renaming of the genus Flavivirus to Orthoflavivirus and extension of binomial species names within the family Flaviviridae. Arch Virol. 2023;168(9):224. doi: 10.1007/s00705-023-05835-1. [DOI] [PubMed] [Google Scholar]
- 2.Gabiane G, Yen P, Failloux A. Aedes mosquitoes in the emerging threat of urban yellow fever transmission. Rev Med Virol. 2022;32(4):e2333. doi: 10.1002/rmv.2333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Silva NIO, Sacchetto L, De Rezende IM, Trindade GS, LaBeaud AD, Thoisy B, et al. Recent sylvatic yellow fever virus transmission in Brazil: the news from an old disease. Virol J. 2020;17(1):9. doi: 10.1186/s12985-019-1277-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cunha MS, Da Costa AC, Fernandes NCCA, Guerra JM, Santos FCP, Nogueira JS, et al. Epizootics due to yellow fever virus in São Paulo State, Brazil: viral dissemination to new areas (2016-2017) Sci Rep. 2019;9(1):5474. doi: 10.1038/s41598-019-41950-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Hamlet A, Ramos DG, Gaythorpe KAM, Romano APM, Garske T, Ferguson NM. Seasonality of agricultural exposure as an important predictor of seasonal yellow fever spillover in Brazil. Nat Commun. 2021;12(1):3647. doi: 10.1038/s41467-021-23926-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Abreu FVS, Ribeiro IP, Ferreira-de-Brito A, Santos AAC, Miranda RM, Bonelly IS, et al. Haemagogus leucocelaenus and Haemagogus janthinomys are the primary vectors in the major yellow fever outbreak in Brazil, 2016-2018. Emerg Microbes Infect. 2019;8(1):218–231. doi: 10.1080/22221751.2019.1568180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Giovanetti M, De Mendonça MCL, Fonseca V, Mares-Guia MA, Fabri A, Xavier A, et al. Yellow fever virus reemergence and spread in southeast Brazil, 2016-2019. J Virol. 2019;94(1):e01623-19. doi: 10.1128/JVI.01623-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Giovanetti M, Pinotti F, Zanluca C, Fonseca V, Nakase T, Koishi AC, et al. Genomic epidemiology unveils the dynamics and spatial corridor behind the yellow fever virus outbreak in Southern Brazil. Sci Adv. 2023;9(35):eadg9204. doi: 10.1126/sciadv.adg9204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Andrade MDS, Campos FS, Campos AAS, Abreu FVS, Melo FL, Sevá ADP, et al. Real-time genomic surveillance during the 2021 re-emergence of the yellow fever virus in Rio Grande do Sul State, Brazil. Viruses. 2021;13(10):1976. doi: 10.3390/v13101976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Vasconcelos PFC, Sperb AF, Monteiro HAO, Torres MAN, Sousa MRS, Vasconcelos HB, et al. Isolations of yellow fever virus from Haemagogus leucocelaenus in Rio Grande do Sul State, Brazil. Trans R Soc Trop Med Hyg. 2003;97(1):60–62. doi: 10.1016/s0035-9203(03)90023-x. [DOI] [PubMed] [Google Scholar]
- 11.Almeida MABD, Santos ED, Cardoso JDC, Da Silva LG, Rabelo RM, Bicca-Marques JC. Predicting yellow fever through species distribution modeling of virus, vector, and monkeys. EcoHealth. 2019;16(1):95–108. doi: 10.1007/s10393-018-1388-4. [DOI] [PubMed] [Google Scholar]
- 12.Almeida MABD, Santos ED, Cardoso JDC, Silva LG, Rabelo RM, Bicca-Marques JC. Yellow fever outbreak affecting Alouatta populations in southern Brazil (Rio Grande do Sul State), 2008-2009. Am J Primatol. 2012;74(1):68–76. doi: 10.1002/ajp.21010. [DOI] [PubMed] [Google Scholar]
- 13.CEVS - Centro Estadual de Vigilância em Saúde do Rio Grande do Sul Monitoramento de Arboviroses no Rio Grande do Sul. 2025. [2025 Set 20]. Available from: https://iede.rs.gov.br/portal/apps/experiencebuilder/experience/?id=86f4b656d1bf441c80f2772592347eda&page=In%C3%ADcio .
- 14.Bezerra JMT, Sousa SCD, Tauil PL, Carneiro M, Barbosa DS. Entry of dengue virus serotypes and their geographic distribution in Brazilian federative units: a systematic review. Rev Bras Epidemiol. 2021;24:e210020. doi: 10.1590/1980-549720210020. [DOI] [PubMed] [Google Scholar]
- 15.Gregianini TS, Ranieri T, Favreto C, Nunes ZMA, Tumioto GGL, Sanberg ND, et al. Emerging arboviruses in Rio Grande do Sul, Brazil: Chikungunya and Zika outbreaks, 2014-2016. Rev Med Virol. 2017;27(6):e1943. doi: 10.1002/rmv.1943. [DOI] [PubMed] [Google Scholar]
- 16.Ometto T, Durigon EL, De Araujo J, Aprelon R, Aguiar DM, Cavalcante GT, et al. West Nile virus surveillance, Brazil, 2008–2010. Trans R Soc Trop Med Hyg. 2013;107(11):723–730. doi: 10.1093/trstmh/trt081. [DOI] [PubMed] [Google Scholar]
- 17.Weber MN, Mosena ACS, Baumbach LF, Silva MS, Canova R, Santos DRL, et al. Serologic evidence of West Nile virus and Saint Louis encephalitis virus in horses from Southern Brazil. Braz J Microbiol. 2021;52(2):1021–1027. doi: 10.1007/s42770-021-00474-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Almeida MAB, Cardoso JDC, Santos ED, Romano APM, Chiang JO, Martins LC, et al. Immunity to yellow fever, oropouche and Saint Louis viruses in a wild howler monkey. Neotrop Primates. 2016;23(1):19–21. [Google Scholar]
- 19.Almeida MAB, Santos ED, Cardoso JDC, Noll CA, Lima MM, Silva FAE, et al. Detection of antibodies against Icoaraci, Ilhéus, and Saint Louis Encephalitis arboviruses during yellow fever monitoring surveillance in non‐human primates (Alouatta caraya) in southern Brazil. J Med Primatol. 2019;48(4):211–217. doi: 10.1111/jmp.12417. [DOI] [PubMed] [Google Scholar]
- 20.Overbeck GE, Vélez-Martin E, Menezes LDS, Anand M, Baeza S, Carlucci MB, et al. Placing Brazil's grasslands and savannas on the map of science and conservation. Perspect Plant Ecol Evol Syst. 2022;56:125687. [Google Scholar]
- 21.Sallum MAM, Obando RG, Carrejo N, Wilkerson RC. Identification keys to the Anopheles mosquitoes of South America (Diptera: Culicidae). IV. Adult females. Parasit Vectors. 2020;13(1):584. doi: 10.1186/s13071-020-04301-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Forattini OP. Culicidologia médica: identificação, biologia, epidemiologia. 1ª ed. Vol. 2. São Paulo: EdUSP; 1996. [Google Scholar]
- 23.Lane J. Neotropical Culicidae. São Paulo: University of São Paulo; 1953. [Google Scholar]
- 24.Domingo C, Patel P, Yillah J, Weidmann M, Méndez JA, Nakouné ER, et al. Advanced yellow fever virus genome detection in point-of-care facilities and reference laboratories. J Clin Microbiol. 2012;50(12):4054–4060. doi: 10.1128/JCM.01799-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Patel P, Landt O, Kaiser M, Faye O, Koppe T, Lass U, et al. Development of one-step quantitative reverse transcription PCR for the rapid detection of flaviviruses. Virol J. 2013;10(1):58. doi: 10.1186/1743-422X-10-58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Melgarejo-Colmenares K, Cardo MV, Vezzani D. Blood feeding habits of mosquitoes: hardly a bite in South America. Parasitol Res. 2022;121(7):1829–1852. doi: 10.1007/s00436-022-07537-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Santos EB, Favretto MA, Müller GA. When and what time? On the seasonal and daily patterns of mosquitoes (Diptera: Culicidae) in an Atlantic Forest remnant from Southern Brazil. Austral Entomol. 2020;59(2):337–344. [Google Scholar]
- 28.Beranek MD, Quaglia AI, Peralta GC, Flores FS, Stein M, Diaz LA, et al. Culex interfor and Culex saltanensis (Diptera: Culicidae) are susceptible and competent to transmit St. Louis encephalitis virus (Flavivirus: Flaviviridae) in central Argentina. Trans R Soc Trop Med Hyg. 2020;114(10):725–729. doi: 10.1093/trstmh/traa058. [DOI] [PubMed] [Google Scholar]
- 29.Neto JPN, Reis LAM, Freitas MNO, Nascimento BLS, Chagas LL, Costa HHM, et al. First isolation and genome sequence analysis of West Nile virus in mosquitoes in Brazil. Tropical Med. 2023;8(4):237. doi: 10.3390/tropicalmed8040237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Cardoso JDC, Corseuil E, Barata JMS. Culicinae (Diptera, Culicidae) ocorrentes no Estado do Rio Grande do Sul, Brasil. Rev Bras Entomol. 2005;49(2):275–287. [Google Scholar]
- 31.Li SL, Acosta AL, Hill SC, Brady OJ, Almeida MAB, Cardoso JDC, et al. Mapping environmental suitability of Haemagogus and Sabethes spp. mosquitoes to understand sylvatic transmission risk of yellow fever virus in Brazil. PLoS Negl Trop Dis. 2022;16(1):e0010019. doi: 10.1371/journal.pntd.0010019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Cardoso JDC, De Almeida MAB, Santos ED, Fonseca DFD, Sallum MAM, Noll CA, et al. Yellow fever virus in Haemagogus leucocelaenus and Aedes serratus mosquitoes, Southern Brazil, 2008. Emerg Infect Dis. 2010;16(12):1918–1924. doi: 10.3201/eid1612.100608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Goenaga S, Fabbri C, Dueñas JCR, Gardenal CN, Rossi GC, Calderon G, et al. Isolation of yellow fever virus from mosquitoes in Misiones Province, Argentina. Vector-Borne Zoonotic Dis. 2012;12(11):986–993. doi: 10.1089/vbz.2011.0730. [DOI] [PubMed] [Google Scholar]
- 34.Oliveira CH, Andrade MS, Campos FS, Cardoso JDC, Gonçalves-dos-Santos ME, Oliveira R, et al. Yellow fever virus maintained by Sabethes mosquitoes during the dry season in Cerrado, a semiarid region of Brazil, in 2021. Viruses. 2023;15(3):757. doi: 10.3390/v15030757. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Cunha MS, Faria NR, Caleiro GS, Candido DS, Hill SC, Claro IM, et al. Genomic evidence of yellow fever virus in Aedes scapularis, southeastern Brazil, 2016. Acta Trop. 2020;205:105390. doi: 10.1016/j.actatropica.2020.105390. [DOI] [PubMed] [Google Scholar]
- 36.Cruz ACR, Hernández LHA, Aragão CF, Paz TYB, Silva SPD, Silva FSD, et al. The importance of entomo-virological investigation of yellow fever virus to strengthen surveillance in Brazil. TropicalMed. 2023;8(6):329. doi: 10.3390/tropicalmed8060329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Montagner FRG, Silva OS, Jahnke SM. Mosquito species occurrence in association with landscape composition in green urban areas. Braz J Biol. 2017;78(2):233–239. doi: 10.1590/1519-6984.04416. [DOI] [PubMed] [Google Scholar]
- 38.Ellwanger JH, Bach E, Müller NFD, Cardoso JDC, Seger GDDS, Chies JAB. Diversity of mosquitoes from Porto Alegre region, Rio Grande do Sul, Brazil: ecological and public health perspectives. J Insect Conserv. 2022;26(6):873–891. [Google Scholar]
- 39.Pereira TDS, Roiz D, Abreu FVS, Luz SLB, Santalucia M, Jiolle D, et al. Potential of Aedes albopictus as a bridge vector for enzootic pathogens at the urban-forest interface in Brazil. Emerg Microbes Infect. 2018;7(1):1–8. doi: 10.1038/s41426-018-0194-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Damasceno-Caldeira R, Nunes-Neto JP, Aragão CF, Freitas MNO, Ferreira MS, Castro PHGD, et al. Vector competence of Aedes albopictus for yellow fever virus: risk of reemergence of urban yellow fever in Brazil. Viruses. 2023;15(4):1019. doi: 10.3390/v15041019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Hendy A, Hernandez-Acosta E, Chaves BA, Fé NF, Valério D, Mendonça C, et al. Into the woods: Changes in mosquito community composition and presence of key vectors at increasing distances from the urban edge in urban forest parks in Manaus, Brazil. Acta Trop. 2020;206:105441. doi: 10.1016/j.actatropica.2020.105441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Hendy A, Hernandez-Acosta E, Valério D, Fé NF, Mendonça C, Costa ER, et al. Where boundaries become bridges: mosquito community composition, key vectors, and environmental associations at forest edges in the central Brazilian Amazon. PLoS Negl Trop Dis. 2023;17(4):e0011296. doi: 10.1371/journal.pntd.0011296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Deus JTD, Mucci LF, Lucheta-Reginatto S, Pereira M, Bergo ES, De Camargo-Neves VLF. Evaluation of methods to collect diurnal Culicidae (Diptera) at Canopy and Ground Strata, in the Atlantic Forest Biome. Insects. 2022;13(2):202. doi: 10.3390/insects13020202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Machado SL, Mello CFD, Silva SOF, Alencar J. Ecobiology of Haemagogus leucocelaenus arbovirus vector in the golden lion tamarin translocation area of Rio de Janeiro, Brazil. Sci Rep. 2023;13(1):13129. doi: 10.1038/s41598-023-39629-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Alencar J, Mello CFD, Marcondes CB, Guimarães AE, Toma HK, Bastos AQ, et al. Natural infection and vertical transmission of Zika virus in sylvatic mosquitoes Aedes albopictus and Haemagogus leucocelaenus from Rio de Janeiro, Brazil. TropicalMed. 2021;6(2):99. doi: 10.3390/tropicalmed6020099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Heinisch MR, Medeiros-Sousa AR, Andrade PS, Urbinatti PR, Almeida RMMS, Lima-Camara TN. Fauna and virological investigation of mosquitoes in urban parks in São Paulo, Brazil. J Am Mosq Control Assoc. 2023;39(2):75–84. doi: 10.2987/22-7108. [DOI] [PubMed] [Google Scholar]
- 47.Cunha MS, Luchs A, Dos Santos FCP, Caleiro GS, Nogueira ML, Maiorka PC. Applying a pan-flavivirus RT-qPCR assay in Brazilian public health surveillance. Arch Virol. 2020;165(8):1863–1868. doi: 10.1007/s00705-020-04680-w. [DOI] [PubMed] [Google Scholar]
- 48.Barrio-Nuevo KM, Cunha MS, Luchs A, Fernandes A, Rocco IM, Mucci LF, et al. Detection of Zika and dengue viruses in wild-caught mosquitoes collected during field surveillance in an environmental protection area in São Paulo, Brazil. PLoS One. 2020;15(10):e0227239. doi: 10.1371/journal.pone.0227239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Ribeiro GDO, Da Costa AC, Gill DE, Ribeiro ESDA, Rego MODS, Monteiro FJC, et al. Guapiaçu virus, a new insect-specific flavivirus isolated from two species of Aedes mosquitoes from Brazil. Sci Rep. 2021;11(1):4674. doi: 10.1038/s41598-021-83879-6. [DOI] [PMC free article] [PubMed] [Google Scholar]



