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REVIEW article

Front. Cell. Infect. Microbiol., 04 November 2025

Sec. Molecular Viral Pathogenesis

Volume 15 - 2025 | https://doi.org/10.3389/fcimb.2025.1718737

This article is part of the Research TopicMosquito-borne Diseases: Climate Change, Transmission Mechanism, Viruses, Symbiotic Bacteria, Epidemic Trend, Prevention and Control StrategiesView all articles

The making of a dangerous vector: factors shaping the vector competence of Aedes mosquitoes

Yang Wu,*Yang Wu1,2*Jie Wu,Jie Wu1,2Qipeng Wu,Qipeng Wu1,2Huiling Cai,Huiling Cai1,2Jia Hu,Jia Hu1,2Zhiwei Lin,Zhiwei Lin1,2Ruyan Liao,*Ruyan Liao1,2*
  • 1Guangzhou Customs Technology Center, Guangzhou, China
  • 2State Key Laboratory of Respiratory Disease, Guangzhou, China

Aedes mosquitoes are among the world’s most significant arbovirus vectors, transmitting pathogens such as dengue, chikungunya, and Zika viruses. However, key species like Aedes aegypti and Aedes albopictus exhibit notable differences in their vector competence, a trait of critical epidemiological importance. Vector competence is a complex phenotype, intrinsically defined by the efficiency with which a virus can overcome key tissue barriers, primarily the midgut and salivary glands. This review synthesizes the current understanding of the multifactorial drivers behind this variation through a comparative analysis of intrinsic determinants—including the vector’s genetic background, innate immunity, co-evolution with the virus, tissue barriers, and gut microbiota—and extrinsic factors, such as climatic conditions and anthropogenic pressures. By dissecting these mechanisms, this review provides a critical reference for assessing the epidemic risks of mosquito-borne diseases and aims to inform the development of more precise, next-generation vector control strategies.

1 Background

The global community is currently facing a formidable challenge from the spread of mosquito-borne viral diseases. The rise of emerging and re-emerging mosquito-borne diseases as a persistent global health threat is being driven by a trio of powerful global trends: accelerating globalization, climate warming, and rapid urbanization. The primary vectors in this global health crisis are Aedes aegypti and Aedes albopictus. The ongoing geographical expansion of these mosquitoes has markedly amplified the transmission risk for numerous arboviruses, including dengue (DENV), chikungunya (CHIKV), Zika (ZIKV), and yellow fever viruses (YFV). This escalating threat is evidenced by numerous large-scale epidemics. In 2014, historic dengue outbreaks were recorded across Asia, including in Japan (Quam et al., 2016), Singapore (Hapuarachchi et al., 2016), and China (Wang et al., 2016; Zhu et al., 2018), totaling over 45000 cases and severely challenging regional public health systems. More recently, the Guangdong-Hong Kong-Macao Greater Bay Area has faced immense pressure from both imported and local dengue transmission in 2024, driven by its suitable climate, dense population, and frequent commercial activities (Guangdong Provincial Center for Disease Control and Prevention, 2024). Concurrently, other Aedes-borne diseases have shown alarming trends. As of July 2025, a significant chikungunya fever outbreak was reported in Foshan, China, with over 3000 cases (Shunde District Health Bureau of Foshan City, 2025). Furthermore, the 2015–2016 Zika virus epidemic caused an incalculable socioeconomic and public health burden after it was confirmed to cause microcephaly and other severe neurological defects in newborns via mother-to-child transmission. This global crisis led the World Health Organization (WHO) to declare it a Public Health Emergency of International Concern (PHEIC) (Hennessey, 2016).

Vector competence is defined as the intrinsic ability of a vector to acquire a pathogen from an infected host and subsequently transmit it to a new, susceptible host (Beerntsen et al., 2000). Vector competence varies significantly among different mosquito species. For instance, Ae. aegypti is a highly efficient vector for arboviruses such as DENV (Kamgang et al., 2019), ZIKV (Fernandes et al., 2020), and YFV (Johnson et al., 2002), whereas Ae. albopictus has proven to be a more competent vector for CHIKV (Lounibos and Kramer, 2016). Furthermore, the global distributions of these two primary vectors differ substantially. Ae. aegypti, which originated in Africa, is now predominantly found in tropical and subtropical regions and is highly adapted to densely populated urban environments. By comparison, Ae. albopictus originated in Southeast Asia and has become one of the world’s most invasive species, spreading to tropical, subtropical, and temperate zones and establishing stable populations in numerous European countries (Kraemer et al., 2015). These profound differences in biology and distribution raise a critical question: what are the underlying mechanisms that determine why one mosquito species is a more effective vector than another?

2 The infection-dissemination-transmission pathway

Vector competence is a complex biological phenotype that arises from the dynamic interplay between the mosquito vector and virus. The process begins when a mosquito ingests virus by feeding on an infected host. Once inside, the pathogen’s ability to replicate and spread is tightly controlled by the mosquito vector’s own genetic background, physiology, and immune system. Ultimately, for the mosquito to become infectious, the virus must successfully navigate a series of critical tissue barriers. The efficiency of this passage is the core determinant of an individual mosquito’s vector competence (Figure 1).

Figure 1
Diagram illustrating barriers to viral infection in a mosquito. (A) Midgut infection barrier shows virions entering the midgut epithelium. (B) Midgut escape barrier shows virions moving into the hemolymph. (C) Hemolymph dissemination depicts spread through the mosquito's body. (D) Salivary gland infection barrier shows virions entering the salivary gland cells. (E) Salivary gland escape barrier depicts virions being released into saliva. Arrows indicate direction of viral movement.

Figure 1. The arbovirus infection-dissemination-transmission pathway in Aedes mosquitoes. This model illustrates the key stages an arbovirus must complete to be transmitted by a mosquito vector. (A) Following the ingestion of a viruliferous blood meal, the virus must first infect the midgut epithelial cells, a process governed by the midgut infection barrier. (B) After replication, the virus must then escape the midgut and cross the basal lamina into the hemolymph, overcoming the midgut escape barrier. (C) The virus disseminates via the hemolymph throughout the mosquito’s body. (D) To become transmissible, the virus must infect the salivary glands, surmounting the salivary gland infection barrier. (E) Finally, the virus is released into the saliva during a subsequent blood meal, a step regulated by the salivary gland escape barrier. The efficiency of overcoming these successive barriers collectively dominates the vector competence of the mosquito.

2.1 Midgut infection and escape

Upon entering the mosquito midgut with a blood meal, the virus must maintain its structural integrity and infectivity within the harsh, enzyme-rich environment of the midgut lumen. The virus then recognizes and invades the midgut epithelial cells, a critical step governed by the midgut infection barrier (MIB) (Franz et al., 2015). Viral entry is dependent on binding to specific receptors on the epithelial cell surface. For instance, C-type lectins have been identified as potential cofactors for DENV attachment to the midgut epithelium in Ae. albopictus following a blood meal (Gao et al., 2024). Identifying and characterizing these specific host receptors is therefore a primary objective in the study of mosquito-virus interactions.

Following a successful invasion, the virus replicates within the epithelial cells. Newly synthesized viral particles are then released from the basal side of the cells and traverse the basal lamina to enter the hemolymph, the mosquito’s open circulatory system (Carpenter and Clem, 2023). This “escape” is regulated by the midgut escape barrier (MEB), the second critical hurdle for the virus (Khoo et al., 2010). The MEB is considered a primary determinant of variation in vector competence, though the precise mechanisms governing viral passage are not yet fully understood. Current hypotheses include direct penetration of the basal lamina or the use of anatomical “bypass” routes (Franz et al., 2015).

2.2 Hemolymph dissemination

Once the virus successfully enters the hemolymph, it disseminates rapidly throughout the mosquito’s body, infecting secondary tissues such as the fat body, neural tissue, and muscles (Cheng et al., 2022). This systemic infection is a prerequisite for the virus to reach the salivary glands. Hemocytes (mosquito blood cells) can play a dual role during flavivirus infections like DENV and ZIKV (Cheng et al., 2022). On one hand, they are key immune cells that combat viral infections in the hemolymph. On the other, some viruses may infect prohemocytes, using them as “Trojan horses” to facilitate systemic dissemination and replication.

2.3 Salivary gland infection and transmission

The final stage for the virus to become transmissible involves the successful infection of the salivary glands and subsequent release into the saliva. Viruses circulating in the hemolymph must first overcome physiological and immunological obstacles to invade the salivary gland epithelial cells, a process governed by the salivary gland infection barrier (SGIB) (Sanchez-Vargas et al., 2021). After infection, the virus replicates, and new virions are released from the apical membrane into the saliva. This release is regulated by the salivary gland escape barrier (SGEB) (Stauft et al., 2022). Critically, successful infection of the salivary glands does not guarantee transmission. Epidemiological competence is achieved only when the virus has overcome all tissue barriers and accumulates in the saliva at a titer sufficient for transmission (Guerrero et al., 2020).

3 Key metrics for assessing vector competence

The quantitative assessment of vector competence relies on several standardized metrics, each corresponding to a key stage in the infection-dissemination-transmission pathway (Kramer and Ciota, 2015). Under controlled laboratory conditions, these metrics convert the complex biological process into analyzable data, allowing for precise comparisons of transmission potential among different vector populations or environmental conditions. The primary metrics include the infection rate, dissemination rate, transmission rate, and extrinsic incubation period.

Infection rate refers to the proportion of mosquitoes whose midgut tissues test positive for the virus at a specific time point after ingesting an infectious blood meal. This is typically determined by exposing a cohort of mosquitoes to a blood meal with a known viral titer and subsequently testing their midgut tissues for viral nucleic acids or antigens (Chouin-Carneiro et al., 2016).

Dissemination rate is the proportion of midgut-infected mosquitoes in which the virus has successfully escaped the midgut barrier and disseminated to other parts of the body. As direct viral detection in the hemolymph is technically challenging, this rate is commonly calculated by testing distal tissues, such as the head, legs, or wings, for the presence of the virus (Chouin-Carneiro et al., 2016).

Transmission rate represents the proportion of mosquitoes capable of expectorating infectious virus in their saliva. This metric is widely considered to have the most direct epidemiological relevance. In laboratory settings, it is often determined by collecting mosquito saliva and assessing its infectivity through methods like plaque assays on susceptible cell cultures (Chouin-Carneiro et al., 2016).

Extrinsic incubation period (EIP) is the time required from when a mosquito ingests a virus-laden blood meal to when it can first transmit the infectious virus through its saliva. The duration of the EIP is a critical temporal parameter, as it determines how quickly infectious vectors appear in a population. The EIP is not a fixed biological constant; it is highly sensitive to extrinsic factors, most notably ambient temperature (Mordecai et al., 2017).

4 Comparative vector competence of Ae. aegypti and Ae. albopictus

Originating from Africa, Ae. aegypti is a highly domesticated mosquito species now established in tropical and subtropical regions worldwide (Matthews et al., 2018). It exhibits strong anthropophily and endophily, typically breeding in artificial water containers found in and around human dwellings. Its behavior of taking multiple, intermittent blood meals from humans during the day, primarily indoors, greatly enhances its efficiency as a disease vector (Facchinelli et al., 2023). Consequently, Ae. aegypti is considered the principal driver of urban epidemics of dengue, Zika, and yellow fever.

Ae. albopictus, native to Southeast Asia, presents a different ecological profile. It is one of the world’s most successful invasive species, with a geographic range extending from the tropics into temperate regions of North America and Europe (Chen et al., 2015). Unlike Ae. aegypti, it demonstrates greater ecological plasticity, breeding in both artificial and natural water sources like tree holes. In its feeding habits, Ae. albopictus is more opportunistic, feeding on a variety of vertebrate hosts in outdoor environments (Fikrig and Harrington, 2021). This generalist behavior allows it to act as a potential “bridge vector,” mediating the spillover of zoonotic viruses from animal reservoirs to human populations (Pereira-dos-Santos et al., 2020). In regions where Ae. aegypti is absent, such as much of China and Europe, Ae. albopictus is the primary vector responsible for local arbovirus outbreaks (Kraemer et al., 2015).

Both Ae. aegypti and Ae. albopictus are vectors for a wide range of viruses, primarily from the genera Flavivirus (family Flaviviridae), Alphavirus (family Togaviridae), and Phlebovirus (family Bunyaviridae). However, their competence for different viruses, even for different viral strains, varies significantly, which has profound epidemiological implications (Table 1).

Table 1
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Table 1. Comparative vector competence of Ae. aegypti and Ae. albopictus for major arboviruses.

4.1 DENV and ZIKV

For these two flaviviruses, there is a broad consensus that Ae. aegypti is the more efficient vector. In comparative laboratory studies, Ae. aegypti consistently exhibits higher dissemination and transmission rates for both DENV and ZIKV than Ae. albopictus (Epelboin et al., 2017; Ferreira-de-Lima and Lima-Camara, 2018).

4.2 CHIKV

Historically, CHIKV epidemics were primarily transmitted by Ae. aegypti. This dynamic shifted dramatically following the emergence of the E1-A226V mutation in the virus’s envelope protein. This single amino acid substitution greatly enhanced the virus’s adaptability to Ae. albopictus, making this species a highly competent, and often primary, vector in recent global outbreaks (Reiter et al., 2006; Paupy et al., 2009).

4.3 YFV

Ae. aegypti is the principal urban vector of YFV. Although Ae. albopictus can be infected with YFV under laboratory conditions, it is considered to have low vector competence, and its role in natural transmission cycles has not been confirmed (Amraoui et al., 2016).

4.4 Mayaro virus (MAYV) and Ross River virus (RRV)

MAYV and RRV are alphaviruses. For MAYV, an emerging threat in South America, both Ae. aegypti and Ae. albopictus are considered potential urban vectors (Pereira et al., 2020). For RRV, prevalent in Australia, Ae. albopictus displays moderate competence, while Ae. aegypti is a less efficient vector (Fu et al., 2023).

4.5 Rift Valley fever virus (RVFV)

Both Ae. aegypti and Ae. albopictus are highly competent vectors for RVFV, a phlebovirus that infects both livestock and humans. Culex mosquitoes act as secondary vectors, while other biting flies and mosquitoes are potential vectors (Brustolin et al., 2017; Lumley et al., 2017; Cêtre-Sossah et al., 2023).

4.6 West Nile virus (WNV) and Japanese encephalitis virus (JEV)

The primary vectors for WNV and JEV are Culex mosquitoes, which maintain transmission cycles involving birds and pigs as amplifying hosts (Vidaña et al., 2020; Levesque et al., 2024). Ae. albopictus may act as a secondary or bridge vector for these flaviviruses, but its competence is significantly lower than that of Culex species (Hernández-Triana et al., 2022). Ae. aegypti is generally considered a poor vector with little epidemiological significance for either virus (Daep et al., 2014).

5 Factors driving variation in vector competence

5.1 Genetic background

Vector competence is fundamentally rooted in the mosquito’s genetic background, which sets the baseline for its ability to transmit pathogens. Significant continuous variation in susceptibility to arboviruses like DENV exists both within and among different geographic populations of Ae. aegypti (Dickson, 2014). Instead of a simple binary outcome of being either infected or uninfected, this variation manifests as a complex spectrum, ranging from complete resistance to high susceptibility, which is characteristic of a quantitative trait. Quantitative trait locus (QTL) analysis has successfully linked this phenotypic variation to specific genomic regions in Ae. aegypti. These analyses revealed that the QTLs governing susceptibility to multiple viruses are clustered within five specific chromosomal regions (Severson and Behura, 2016). This clustering suggests that these genomic hotspots may contain key upstream regulatory genes or functional gene clusters of the innate immune system. These regions likely form a core genetic network that orchestrates immune responses against a range of viruses, thereby providing the fundamental molecular basis for vector competence in Ae. aegypti.

5.2 Mosquito innate immunity

Upon viral invasion, the mosquito’s innate immune system is activated to combat the infection. This defense is primarily orchestrated by four key signaling pathways: RNA interference (RNAi), Janus Kinase/Signal Transducer and Activator of Transcription (JAK/STAT), Immune Deficiency (IMD), and Toll.

The RNAi pathway, particularly through small interfering RNAs (siRNAs), represents a highly specific antiviral defense mechanism in mosquitoes. During viral replication, double-stranded RNA (dsRNA) intermediates are produced, which act as pathogen-associated molecular patterns (PAMPs). These dsRNA molecules are recognized and cleaved by the endonuclease Dicer 2 (Dcr2) into siRNAs approximately 21 bp in length (Gestuveo et al., 2022). The siRNAs are then loaded into the RNA-induced silencing complex (RISC), where they guide the Argonaute 2 (AGO2) protein to specifically degrade viral RNA that is complementary to the siRNA sequence. Through this post-transcriptional gene silencing mechanism, the RNAi pathway precisely and efficiently inhibits viral gene expression and genome replication, thereby directly limiting viral proliferation within the mosquito (Liu et al., 2019). Furthermore, Ae. aegypti can vertically transmit RNAi-related molecules to its offspring, establishing a form of transgenerational immunity against specific viruses (Rodriguez-Andres et al., 2024).

Alongside the specific antiviral action of RNAi, the JAK/STAT, Toll, and IMD pathways activate broad, systemic antiviral states through signal amplification cascades that lead to widespread transcriptional changes. The JAK/STAT pathway, often activated by virus-induced cytokines such as Vago, triggers the phosphorylation and nuclear translocation of STAT transcription factors. This leads to the expression of hundreds of antiviral effector genes that create a hostile intracellular environment for the virus (Yadav et al., 2023). The Toll and IMD pathways both culminate in the activation of NF-κB family transcription factors, namely Rel1 and Rel2, respectively (Tassetto et al., 2019). Activation of these pathways drives the expression of antimicrobial peptides (AMPs), including defensins and cecropins, which are secreted into the hemolymph and have demonstrated direct antiviral activities (Varjak et al., 2020).

5.3 Virus-vector co-evolution

The co-evolution between an arbovirus and its mosquito vector is a critical driver of epidemiological change, as genetic adaptations on either side can dramatically alter vector competence and reshape disease transmission patterns. The profound epidemiological impact of this process is best exemplified by a key mutation in CHIKV, which dramatically increased the vector competence of Ae. albopictus (Schuffenecker et al., 2006; Tsetsarkin et al., 2007; Vazeille et al., 2007). CHIKV comprises three major lineages: the East/Central/South African (ECSA) lineage, a West African enzootic lineage, and an Asian epidemic/endemic lineage. The highly diverse ECSA lineage gave rise to the Indian Ocean sub-lineage (IOL) (Weaver et al., 2020). A single amino acid substitution in the E1 envelope protein of the IOL, an alanine-to-valine change at position 226 (A226V), increased the virus’s transmission efficiency for Ae. albopictus by as much as 40-fold (Schuffenecker et al., 2006; Tsetsarkin et al., 2007; Vazeille et al., 2007). This single mutation effectively shifted the primary vector for this CHIKV lineage from Ae. aegypti to Ae. albopictus. This newly adapted virus then capitalized on the global invasive spread of Ae. albopictus, creating a powerful synergy that resulted in unprecedented chikungunya epidemics reaching as far as the temperate regions of Europe, including France and Italy (Tomasello and Schlagenhauf, 2013; Amraoui and Failloux, 2016; Liu et al., 2025).

To counteract the mosquito’s immune defenses, viruses have evolved sophisticated immune evasion strategies, one of the most critical being the suppression of the host’s RNAi pathway (Liu et al., 2019). DENV, for example, produces a non-coding RNA known as subgenomic flavivirus RNA (sfRNA). This sfRNA acts as a “molecular sponge” or competitive inhibitor, sequestering key proteins of the RNAi machinery, such as Dcr2, thereby impairing the host’s antiviral response (Zhang et al., 2019). The underlying goal of such evasion tactics is often not to completely disable the host’s immunity, but rather to achieve a modest level of suppression. This balance allows the virus to establish a persistent, non-pathogenic infection without harming the mosquito’s fitness (Samuel et al., 2023). This strategy of establishing a persistent, non-pathogenic infection allows the virus to evade immune clearance and maximize its transmission potential, perfectly illustrating the dynamic, co-evolutionary balance between the vector mosquito’s immune response and the virus’s antagonistic strategies.

5.4 Tissue barriers in mosquitoes

5.4.1 Midgut barrier

After ingestion, the first major barrier a virus must overcome is the midgut epithelium, which it infects through a receptor-mediated process involving the binding of viral envelope proteins to specific host cell-surface receptors. Both alphaviruses and flaviviruses use C-type lectins as attachment receptors to infect mosquito midgut cells (Klimstra et al., 2003; Liu et al., 2014). C-type lectins are a family of Ca2+-dependent carbohydrate-binding proteins, such as DC-SIGN and L-SIGN.

After replicating in the epithelium, the virus must cross the basal lamina (BL) to escape the midgut. This extracellular matrix, whose pore size is smaller than a virus particle, forms the primary component of the MEB. The mechanisms by which viruses cross this barrier are generally considered under two main hypotheses: direct penetration and anatomical bypass routes.

The direct penetration hypothesis suggests that the mechanical stretching of the midgut after a large blood meal may widen gaps in the BL, allowing viruses to pass through (Kantor et al., 2018). Additionally, viral infection may induce the expression of host enzymes like matrix metalloproteinases (MMPs) and caspases, which could degrade BL components to facilitate escape (Franz et al., 2015).

The second is the “bypass” hypothesis, suggesting that viruses may use anatomical shortcuts. For instance, the mosquito tracheal system may serve as a conduit for escape, a possibility supported by the detection of DENV in the tracheal system of infected Ae. aegypti (Salazar et al., 2007). Another potential bypass route is the cardia, a porous region at the foregut-midgut junction that has been hypothesized to serve as a key node for viral escape (Lerdthusnee et al., 1995).

5.4.2 Salivary gland barrier

The efficacy of the SGIB varies by virus. When CHIKV and ZIKV were directly injected into the thorax of Ae. aegypti, their salivary glands were readily infected, suggesting the SGIB is largely ineffective against these viruses. In contrast, when the same experiment was performed with DENV, a small proportion (0.5%–5.5%) of mosquitoes remained uninfected, indicating that the SGIB provides some resistance to DENV (Sanchez-Vargas et al., 2021).

The SGEB is also a critical bottleneck. Even when various strains of DENV, CHIKV, and ZIKV successfully infected the salivary glands, some mosquitoes failed to expectorate infectious virus in their saliva. This demonstrates that the SGEB can prevent even highly infectious viruses from becoming transmissible (Sanchez-Vargas et al., 2021). Specific host molecules may mediate this process. For example, salivary gland surface protein 1 (SGS1)—an abundant, 3364-amino-acid protein—is composed of a Tc toxin-like Rhs/YD shell, four receptor domains, and a set of C-terminal tandem helices, with the receptor domains thought to be critical for mediating viral escape into the saliva by facilitating virus binding (Liu et al., 2023).

5.5 Gut microbiota

A mosquito’s gut microbiota plays a crucial role in its physiology, influencing not only its fecundity and lifespan by providing key nutrients, but also acting as a significant regulator of its vector competence. Experiments with axenic (germ-free) Ae. aegypti models have revealed the importance of these microbes. Compared to their conventional counterparts, axenic mosquitoes exhibit reduced fecundity, lower metabolic rates, and extended lifespans (Harrison et al., 2023). Critically, when exposed to DENV, these germ-free mosquitoes show significantly lower midgut infection rates and viral loads, indicating a stark reduction in vector competence. This effect is potentially linked to the microbiota’s role in supplying essential nutrients, such as B vitamins, which are vital for the mosquito host (Harrison et al., 2023).

The naturally lower vector competence of Ae. albopictus for DENV and ZIKV compared to Ae. aegypti may be partly explained by differences in their native gut microbiota. For instance, a specific bacterial strain, Enterobacter hormaechei B17 (Eh_B17), was isolated from the gut of wild Ae. albopictus. This bacterium secretes a metabolite, sphingosine, that exhibits potent antiviral activity against both DENV and ZIKV. Sphingosine acts by blocking the fusion between the viral envelope and the host cell membrane, a critical early step in infection. When Eh_B17 was introduced into Ae. aegypti, the mosquito’s susceptibility to both viruses was significantly reduced, demonstrating that specific microbes can directly modulate vector competence (Sun et al., 2024).

The endosymbiotic bacterium Wolbachia is another powerful example of microbe-mediated modulation of vector competence. While widely known for its use in population suppression strategies, Wolbachia also significantly reduces a mosquito’s vector competence for DENV. For example, Ae. aegypti colonized with Wolbachia strains including wMel, wMelCS, and wAlbB show a strong blocking effect against DENV infection, leading to dramatically reduced vector competence, and this effect is suggested to result from multiple mechanisms, including competition for resources and priming of the mosquito’s immune system. The proposed mechanistic model suggests that Wolbachia may antagonistically compete with DENV for limited cellular resources essential for viral replication, while concurrently upregulating the mosquito’s innate immune pathways, thereby enabling a more rapid and effective antiviral response upon infection (Flores et al., 2020).

Taken together, on one hand, these findings highlight that gut microbes and their metabolites present novel targets and avenues for the development of novel antiviral interventions. On the other hand, they underscore the need for vigilance, as the natural co-evolution of wild mosquito populations and their microbiota could unexpectedly alter vector competence and increase the risk of disease transmission.

5.6 Climatic factors

Climatic factors, particularly temperature, humidity, and rainfall, dynamically influence both the geographical distribution of Aedes populations and their vector competence. Elevated ambient temperatures, for instance, can accelerate viral replication rates within Ae. albopictus, which shortens the EIP for viruses like DENV, CHIKV, and WNV, thereby enhancing vector competence and increasing transmission risk (Alto and Bettinardi, 2013). The two species also have different optimal temperature ranges for viral transmission: 21.3°C~34.0°C for Ae. aegypti versus a cooler 19.9°C~29.4°C for Ae. albopictus (Ryan et al., 2019). This thermal difference contributes to regional variations in vector competence and helps explain why the more temperate-adapted Ae. albopictus has become the primary vector for CHIKV in European countries such as France and Italy. Humidity is another critical factor. For example, low-humidity conditions can induce dehydration stress in Ae. aegypti, which in turn has been shown to increase infection and dissemination rates for ZIKV (Abu et al., 2024).

5.7 Anthropogenic factors

Anthropogenic factors such as urbanization, insecticide use, and industrial pollution profoundly impact the environment and can significantly alter the distribution and vector competence of Aedes mosquitoes. Urbanization creates abundant artificial breeding sites, such as discarded plastic containers and tires, that are ideal for Aedes proliferation. Concurrently, the urban heat island effect raises local temperatures, which can accelerate mosquito development, shorten the viral EIP, and ultimately enhance vector competence (Acosta, 2023).

The widespread use of chemical insecticides has imposed strong selective pressure on mosquitoes, driving the evolution of resistance through metabolic changes or target-site mutations. This resistance can be linked to vector competence, as evidenced by higher dissemination rates for both ZIKV and DENV in Ae. aegypti populations resistant to pyrethroid insecticides (Parker-Crockett et al., 2021). The underlying mechanism involves the pleiotropic effects of metabolic genes like cytochrome P450s, which are overexpressed in insecticide-resistant populations and whose enzymes simultaneously metabolize insecticides while also modulating key antiviral immune pathways like the Toll pathway. Furthermore, the significant metabolic resources required to maintain resistance may come at a fitness cost, diverting energy from the immune system and thus weakening the mosquito’s overall defense against viruses.

Industrial pollution is another influential anthropogenic factor, whereby exposure to heavy metals in larval breeding sites can induce physiological changes in Aedes mosquitoes that increase their susceptibility to viral infection as adults, thereby affecting their vector competence (Vargas et al., 2025).

6 Discussion

The vector competence of Aedes mosquitoes is a complex biological trait shaped by a multifactorial interplay of intrinsic and extrinsic factors, including the mosquito’s genetic background, innate immunity, and gut microbiota, as well as the specific viral strain and a range of environmental conditions (Figure 2). Crucially, these factors do not operate in isolation; rather, they form an intricate and dynamic regulatory network. For instance, ambient temperature directly influences the rate of viral replication, and thus the EIP, while also modulating the strength of the mosquito’s innate immune response. Similarly, the gut microbiota can alter a mosquito’s baseline immunity and susceptibility to viruses by supplying essential nutrients or secreting antiviral metabolites. Therefore, future research should adopt a systems-thinking approach that considers the dynamic interplay between the host, vector, pathogen, and environment. A crucial path forward involves integrating core biological parameters measured in the laboratory (e.g., infection and transmission rates) with key ecological parameters (e.g., vector population density, lifespan, and biting habits). Incorporating these diverse data streams into dynamic vectorial capacity models will be essential to bridge the gap from molecular mechanisms to accurate, large-scale public health risk assessments.

Figure 2
Diagram of factors affecting vector competence of mosquitoes. The inner circle divides factors into intrinsic and extrinsic. Intrinsic includes microbiota-based strategies, innate immunity, and tissue barriers. Extrinsic covers climatic and anthropogenic factors. The outer circle suggests strategies for mosquito control, such as genetic editing and reducing breeding.

Figure 2. A summary of the multifactorial network shaping vector competence in Aedes mosquitoes. This diagram illustrates how a complex interplay of intrinsic and extrinsic factors modulates the arbovirus transmission pathway, and where different vector-control strategies can intervene. Intrinsic factors (orange) include the vector’s genetic background, innate immunity, co-evolution with the virus, tissue barriers, and gut microbiota. Extrinsic factors (blue) include climatic conditions and anthropogenic pressures. Vector-control strategies (surrounding the factors) are designed to target the transmission pathway by reducing either vector competence or mosquito breeding, which include microbiota-based and genetic strategies, intelligent surveillance, early warning systems, and conventional vector-control methods.

The significant differences in ecology and vector competence between Ae. aegypti and Ae. albopictus directly shape the global epidemiology of Aedes-borne viral diseases. A thorough understanding of these differences is therefore a prerequisite for conducting accurate public health risk assessments. The comparative analysis in this review highlights two distinct public health risk paradigms. In tropical regions dominated by Ae. aegypti, its high efficiency as a vector for viruses like DENV and ZIKV creates a high-risk paradigm for explosive, urban-centric epidemics. A different public health risk paradigm exists in the vast subtropical and temperate regions where Ae. albopictus is the sole vector. Here, although the baseline transmission efficiency for viruses like DENV and ZIKV is lower, a significant threat arises from the potential for viral adaptation. The emergence of the E1-A226V mutant strain of CHIKV serves as a stark warning. This single mutation transformed Ae. albopictus from a secondary vector into a primary driver of focal outbreaks worldwide. Given the aggressive invasive capacity of Ae. albopictus, this case demonstrates that even regions currently considered low-risk must remain vigilant, as viral adaptation can rapidly alter the local threat landscape. This example illustrates how the global expansion of an adaptable vector like Ae. albopictus provides a vast platform for viral evolution. A sudden shift in the vector competence of such a widespread species can transform a regional disease into an unpredictable global public health event, representing a major challenge for contemporary risk assessment and response strategies.

Beyond the primary global vectors, Ae. aegypti and Ae. albopictus, assessing the vector competence of other Aedes mosquitoes with specific traits is crucial for understanding and mitigating regional public health risks. This is particularly evident in specific ecological niches, such as the coastal wetlands of Australia, where the salt-water tolerant Aedes vigilax is a principal vector, exhibiting high vector competence for RRV and Barmah Forest virus (Ong et al., 2021). The role of “bridge vectors” in zoonotic spillover also highlights the critical need to evaluate their vector competence, as their feeding habits can introduce animal pathogens into human populations. For instance, the sylvatic mosquito Aedes africanus is a competent vector for ZIKV and YFV among primates, posing a potential transmission risk to humans at the forest edge (Oyono et al., 2022). A similar concern exists in temperate regions like Europe with the establishment of invasive species. The opportunistic feeding habits of Aedes japonicus on both birds and mammals, combined with its proven competence for WNV, create a significant public health threat for zoonotic transmission (Linthout et al., 2024). Furthermore, Aedes koreicus has been shown to be a competent vector for CHIKV and ZIKV in laboratory settings, raising concerns about its role in future outbreaks (Jansen et al., 2021). Evaluating the competence of these invasive vectors is essential not only for imported tropical pathogens but also for their potential to transmit endemic arboviruses, which could establish new local transmission cycles and reshape the regional and global arboviral disease map.

While traditional vector control strategies, which primarily aim to suppress mosquito populations, remain the cornerstone of disease control, its long-term effectiveness is increasingly challenged by the widespread evolution of insecticide resistance in mosquitoes, which diminishes the efficacy of chemical agents. Furthermore, the reliance on broad-spectrum insecticides raises ecological concerns due to their impact on non-target organisms and the broader ecosystem. These limitations highlight the necessity of integrating novel, complementary strategies, such as those aimed at reducing vector competence, to create more sustainable and resilient vector control programs. Several cutting-edge strategies are emerging, as follows:

1. Microbiota-based strategies. The most mature of these is the use of the endosymbiont Wolbachia. This bacterium significantly reduces the vector competence of Aedes for DENV and ZIKV by activating the mosquito’s immune system and competing for critical nutrients. Future work may involve genetically engineering other gut symbionts, such as E. hormaechei, to continuously express antiviral effector molecules. Such “population modification” approaches could serve as highly targeted vector control tools.

2. Genetic strategies. Advances in gene-editing technologies like CRISPR/Cas9, guided by a deeper understanding of the QTLs that regulate vector competence, are enabling the development of novel approaches. Gene drive systems, designed to either reduce mosquito fecundity or introduce virus-refractory traits into wild populations, offer a potential pathway to eliminate vector populations and suppress disease transmission. However, the deployment of such powerful technologies necessitates rigorous ecological risk assessments, alongside transparent community engagement and ethical oversight for responsible governance.

3. Intelligent surveillance and early warning systems. By integrating environmental data with real-time vector surveillance data, machine learning and AI models can build high-precision spatiotemporal risk prediction systems. These tools can help public health agencies allocate limited resources to high-risk areas during critical time windows, marking a shift from reactive responses to proactive forecasting.

In conclusion, a deep understanding of the mechanisms driving variation in vector competence is more than a core question for basic virology and vector biology; it serves as a critical bridge between laboratory research and public health practice. An integrated paradigm that combines molecular interventions, ecological surveillance, and intelligent risk assessment based on a holistic understanding of these mechanisms is essential. Such approaches will provide the scientific foundation needed to confront the growing global threat of Aedes-borne viral diseases.

Author contributions

YW: Writing – original draft, Writing – review & editing. JW: Data curation, Investigation, Writing – original draft. QW: Data curation, Investigation, Writing – review & editing. HC: Data curation, Investigation, Writing – original draft. JH: Data curation, Investigation, Writing – original draft. ZL: Data curation, Investigation, Writing – original draft. RL: Supervision, Validation, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research and/or publication of this article. This review is supported by Guangdong S&T Program (2022B1111030002), and the Scientific Research Project of the General Administration of Customs of the People’s Republic of China (2024HK084 and 2025HK216), and Special Program for the Establishment of Guangzhou Industry-Specific Sci-Tech Collaborative Innovation Centers (2025B04J0003).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Keywords: vector competence, Aedes albopictus, Aedes aegypti, chikungunya, dengue, arbovirus

Citation: Wu Y, Wu J, Wu Q, Cai H, Hu J, Lin Z and Liao R (2025) The making of a dangerous vector: factors shaping the vector competence of Aedes mosquitoes. Front. Cell. Infect. Microbiol. 15:1718737. doi: 10.3389/fcimb.2025.1718737

Received: 04 October 2025; Accepted: 20 October 2025;
Published: 04 November 2025.

Edited by:

Hongmei Liu, Shandong Institute of Parasitic Diseases, China

Reviewed by:

Jiangtao Liang, Virginia Tech, United States
Ye Xu, Zhejiang Chinese Medical University, China

Copyright © 2025 Wu, Wu, Wu, Cai, Hu, Lin and Liao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yang Wu, eWFuZ3d1OTFAb3V0bG9vay5jb20=; Ruyan Liao, bGlhb3J1eWFuMjAwNUAxMjYuY29t

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