Next Article in Journal
Characterization of Two Novel Insect-Specific Viruses Discovered in the Green Leafhopper, Cicadella viridis
Previous Article in Journal
Bugs in Bugs: The Role of Probiotics and Prebiotics in Maintenance of Health in Mass-Reared Insects
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Assessing the Impact of Insecticide Resistance on Vector Competence: A Review

by
Alan E. Juache-Villagrana
1,
Victoria Pando-Robles
2,
Selene M. Garcia-Luna
1,
Gustavo Ponce-Garcia
1,
Ildefonso Fernandez-Salas
1,
Beatriz Lopez-Monroy
1,
Iram P. Rodriguez-Sanchez
1 and
Adriana E. Flores
1,*
1
Facultad de Ciencias Biologicas, Universidad Autonoma de Nuevo Leon, Av. Universidad s/n Cd. Universitaria, San Nicolas de los Garza 66455, Nuevo Leon, Mexico
2
Centro de Investigacion Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Publica, Cuernavaca 62100, Morelos, Mexico
*
Author to whom correspondence should be addressed.
Submission received: 18 March 2022 / Revised: 7 April 2022 / Accepted: 11 April 2022 / Published: 12 April 2022
(This article belongs to the Section Insect Pest and Vector Management)

Abstract

:

Simple Summary

Insects transmit a wide variety of pathogens, including parasites, bacteria, and viruses, to human and economically important crops. Since pathogen transmission threatens public health and economic activities, insecticides are the main strategy to control insect populations. The continued use of insecticides has led to resistant populations where chemicals are no longer effective. It is unknown if insecticide resistance (IR) could impact insects’ other characteristics, such as their ability to infect, maintain infection, or transmit pathogens, a trait known as vector competence (VC). In this review, we analyze the literature that involves the study of VC and IR or insecticide exposure in three main approaches; studies conducted in the field versus laboratory-designed experiments, the impact of insecticide exposure on pathogen transmission, and studies performed on vectors of crop pathogens. The evidence points out three different patterns where enhancement, impairment, or neutral effects are seen between IR and VC. It is of great concern that IR could enhance VC since it increases the risk of epidemics. More detailed and standardized studies are needed to confirm this relationship. Finally, results from this investigation could help create evidence-based vector control programs.

Abstract

The primary strategy to avoid adverse impacts from insect-mediated pathogen transmission is the chemical control of vector populations through insecticides; its continued use has led to insecticide resistance and unknown consequences on vector competence. This review aims to systematically analyze and synthesize the research on the influence of insecticide resistance (IR) on vector competence (VC). Thirty studies met the inclusion criteria. Twenty studies, conducted either in laboratory or field settings, described the influence of phenotypic insecticide resistance and mechanisms on VC in vectors of human pathogens. Seven studies showed the effect of exposure to insecticides on VC in vectors of human pathogens. Three studies reported the influence of phenotypic resistance and mechanisms on VC in crop pests. The evidence shows that IR could enhance, impair, or have no direct effect on VC in either field or laboratory-designed studies. Similar positive and negative trends are found in pest vectors in crops and studies of insecticide exposure and VC. Even though there is evidence that exposure to insecticides and IR can enhance VC, thus increasing the risk of pathogen transmission, more investigations are needed to confirm the observed patterns and what implications these factors could have in vector control programs.

Graphical Abstract

1. Introduction

Insects have a close relationship with humans. They participate in activities that benefit human well-being (i.e., pollination) and exert adverse effects such as those observed in public health, crops, hygiene, and other sectors [1]. On the side of unfavorable impacts, we can highlight the insects’ role as vectors of diseases. For example, mosquitoes (i.e., Culicidae), triatomine bugs (Reduviidae), blackflies (Simuliidae), and lice (Pediculidae) affect human health by transmitting arboviruses, parasites, or bacteria [2]. Additionally, aphids, whiteflies, and thrips transmit pathogens to economically important crops [3]. Together, vectors of human and crop pathogens cause considerable economic losses due to human health costs and lower agricultural production [4].
This capacity of insects to transmit pathogens is known as vector competence (VC). This trait defines the intrinsic capacity of an organism to acquire, maintain replication, disseminate, and transmit a pathogen. VC is a complex trait influenced by factors such as the genetic background of hosts and insects, strain and genotype of pathogens, and other aspects associated with environmental variables such as temperature [5,6]. For example, many studies have evaluated the VC of Aedes aegypti. It has been determined that the extrinsic incubation period (the time needed for a mosquito to become infectious) is shorter at higher temperatures [7]. Additionally, bacterial symbionts affect VC by shaping immune responses [8]. Furthermore, Souza-Neto et al. [9], in a systematic review of VC literature in different populations of Ae. aegypti did not find any record of a fully refractory natural population to virus infection; however, there are populations completely susceptible to Zika, dengue, and chikungunya viruses, demonstrating differential regulation of VC.
Studies of VC are heterogeneous (e.g., pathogen challenges performed through intrathoracic injections vs. membrane feeding), and experimental limitations are present (e.g., lack of model animals that mimic human pathogenesis). There are several reports giving a detailed description of past and current knowledge of VC in mosquitoes [9,10,11,12,13,14].
The primary strategy to avoid adverse impacts of insects on public health or agriculture is the use of pesticides. Pesticides are molecules used to destroy, prevent, or repel insects that are a nuisance to humans [15]. Nowadays, various chemicals are applied to control insect populations; according to their structure and synthesis, the diversity of insecticides includes chlorinated hydrocarbon compounds, organophosphates, carbamates, pyrethroids, neonicotinoids, formamidines, and other molecules, plus botanical and microbial agents [16]. The continued use of insecticides has had unintended consequences, particularly the emergence of resistant populations in both human and crop insect vectors. Given many reports on the ineffectiveness of chemical agents in controlling insect populations, we can conceptualize insecticide resistance (IR). This phenomenon is defined as the decrease in the susceptibility of an insect population to a previously effective insecticide caused by its continued use and/or possible cross-selection with other chemical substances, which arises through genetic, physiological, or behavioral changes and is also a hereditary trait [17,18,19].
IR has been described in vectors regarding a broad spectrum of chemical compounds, including organophosphates [20,21,22], among others. Four mechanisms have been determined to reduce the efficacy of pesticides: changes in insect behavior, thickening of the insect cuticle, increased activity of detoxifying enzymes, and modification of the target site [23,24,25]. The more studied IR mechanisms are target site modification and detoxifying enzyme alteration. For example, there is a vast amount of literature concerning mutations in the voltage-gated sodium channel (VGSC), known together as knockdown resistant mutations (kdr mutations, hereafter), as well as mutations in the acetylcholinesterase gene (referred to as Ace mutations hereafter). These mutations are related to pyrethroid and DDT resistance and organophosphate and carbamate resistance, respectively [26,27]. On the other hand, different enzymes participate in detoxification events leading to metabolic resistance. For instance, mixed-function oxidases are greatly involved in pyrethroid resistance [28,29], along with glutathione S transferases and esterases [30,31]. It has been shown that IR affects current efforts in vector control to prevent the emergence of epidemics of emerging or re-emerging diseases such as chikungunya [32,33]. The same has been observed in pest vectors of important crops such as soybeans and tomatoes [34,35,36].
On the other hand, little is known about the impact of IR on VC. Given the actual scenario in which IR affects vector control, we aimed to systematically synthesize and analyze the research on the effect of IR on VC in vector species that impact human health or crops. It is important to note that we only reviewed research that describes experimental procedures that directly link IR and VC. We divided this systematic review into three sections. The first analyzes research findings in the field or laboratory-designed experiments. The second focuses on the effect of exposure to insecticides on the transmission of pathogens, and the last focuses on the vector research conducted on crop pests.

2. Materials and Methods

2.1. Search Strategy and Eligibility Criteria

We used the guidelines described by PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) for this systematic review. PubMed, Google Scholar, Science Direct, and CONRICYT databases were searched using a combination of two keywords, “Vector competence” and “Insecticide resistance”, “Vector competence”, and “Insecticide exposure”. The search was not restricted to the year of publication. We selected articles that met at least two of the following characteristics to assure that the experiment design included the evaluation of the effects of IR on VC. (1) The articles were written in English; (2) the articles had to report at least two of the following parameters simultaneously: exposure to insecticides and/or evaluation of susceptibility through bioassays and/or evaluation of mechanisms of resistance to insecticides; (3) infection, dissemination, transmission, or prevalence of pathogens is reported in the results.
All the articles were grouped according to the objective of this study; that is, the papers were organized by the level of evaluation (experiments designed for the field vs. laboratory) and by investigations that determine the influence of exposure to insecticides or resistance mechanisms on the transmission of pathogens. We omitted articles that expressed opinions, abstracts and conference proceedings, and literature that failed to describe and report forms of insecticide exposure, susceptibility testing, resistance mechanisms assays, or pathogen detection procedures. Finally, we divided articles according to the species that affect health or crops.

2.2. Data Extraction and Synthesis

We aimed to systematize the literature review process; all eligible articles were read, and the data were extracted in a spreadsheet. For every paper, we collected authors, year of publication, the title of the study, objectives, insect species, pathogen selected, articles studied, methods utilized for phenotypic resistance determination, kdr, and other IR-associated mutations, parameters included in life tables, metabolic resistance mechanisms (detoxifying enzymes), infection, dissemination, salivary gland, and transmission rates, susceptibility status, infection method, classification of phenotypic resistance, frequency of mutations, and the relationship between infection and resistance.

3. Results

The results obtained by the combination of keywords varied according to the database used. For example, a total of 1056 studies were obtained from PubMed. The analysis of the titles of published articles served to narrow the selection process. A total of 40 articles were selected for further inspection, and after reading the articles, only 30 fulfilled the selection criteria. Of these, 20 studies were associated with the influence of phenotypic IR and IR mechanisms in both field and laboratory-designed experiments; 7 studies were related to the influence of exposure to insecticides on VC. Regarding pest vectors in crops, only three studies investigated the impact of IR on VC. A complete analysis and synthesis of the articles selected are presented below.

3.1. Field Versus Laboratory Studies

This section compares field and laboratory research where the prevalence of infection and phenotypic or genotypic resistance are described. Most evaluations corresponding to IR and VC were carried out using insectary-reared specimens in laboratory-controlled experiments. Accordingly, the differences between field-collected organisms and those raised in controlled, optimal conditions had to be addressed.
Field research was conducted on mosquito species that transmit parasites [37,38,39,40,41,42,43,44], while only two studies involved other pathogens such as arboviruses [45,46]. Three of these studies showed a positive association between VC and IR; in other words, the presence of IR mechanisms favors VC [37,38,39]. One of them is the work of Kabula et al. [37], who analyzed susceptibility to deltamethrin in Anopheles gambiae s. s. mosquitoes that carried the resistant kdr allele at locus 1014 (S1014) and related it to the prevalence of Plasmodium falciparum. A positive association between the resistant phenotype and genotype (homozygous S1014) and the prevalence of sporozoites, the transmission stage of P. falciparum, was observed.
In an alternate way to study the interaction between VC and IR, infection with P. falciparum was enough to increase DDT mortality in field-collected kdr homozygous An. gambiae s. s. It is important to mention that this effect was time-dependent according to P. falciparum development., Increased mortality was observed one and seven days after infectious blood meals were offered (indicating ookinete development and oocyst maturation, respectively) but absent after a longer period of 14 days (sporozoite stage) [38]. Finally, Tchouakui et al. [39] demonstrated that An. funestus homozygous for the mutation F119 in the GST gene had higher sporozoite rates of Plasmodium sp.
On the other hand, results showing no association between IR and VC were reported in field-based research. For example, Collins et al. [40] discovered a non-significant association between the presence of kdr or Ace mutations and the P. falciparum oocyst burden in A. gambiae s. l. Additionally, this pattern was further confirmed since the presence of mutant alleles F1014, and Ace-1 S119 had no influence on mosquito infection with Plasmodium sp. in the same insect vector [41]. In An. funestus, the presence of a mutation in the GST gene (L119F-GST2) did not influence the prevalence of infection of Plasmodium sp. [39].
Besides previous studies reported in Anopheles, this lack of association was also reported for Culex pipiens, where a comparison of infection rate and oocyst burden of P. relictum between susceptible and field-caught resistant mosquitoes showed no significant differences between groups [42]. The only study conducted with arboviruses was reported by Anbalagan et al. [45], who demonstrated that populations of Cx. gelidus resistant to deltamethrin and malathion showed no infection with the Japanese encephalitis virus.
Finally, only three studies described a negative association between VC and IR. A study conducted in Cx quinquefasciatus and Wuchereria bancrofti showed a negative correlation between parasite RNA quantity (quantification of parasite burden) and esterase activity, a xenobiotic-detoxifying enzyme [43]. This negative association was also reported by Tchouakui et al. [39] in An. funestus; infection with Plasmodium sp. was more prevalent in mosquitoes lacking the mutation A296S in the GABA receptor. Regarding arboviruses, Stephenson et al. [46] analyzed the VC for DENV in populations of Ae. aegypti with varying kdr resistant profiles. A negative association between kdr mutations and VC was found; populations with the highest frequency of mutant alleles L1016 and C1534 had lower VC than wild-type mosquitoes (e.g., low frequency or free of kdr mutant alleles).
Studies performed in laboratory-designed experiments depict a similar picture as the results obtained in field research. Nonetheless, it must be noted that other variables such as heat treatment or varying larval density are seldomly introduced in experiments. Several studies showed no association between VC and IR, as found in field research. For example, the selection of mosquitoes with DDT showed no measurable impacts on the susceptibility of Ae. aegypti to dengue serotype 2 [47]. However, this investigation must be considered with caution, as details of the experimental procedure were not clearly stated. Similarly, Alto and Lord [48] demonstrated that the VC of Ae. aegypti raised at different larval densities and exposed to several doses of Bacillus thuringiensis israelensis (Bti) was not affected since no changes in infection and dissemination of dengue serotype 1 were observed. This pattern was also reported for the parasite vector Cx. pipiens and P. relictum, where a non-significant difference was found in infection rates and oocyst burden between susceptible and resistant mosquitoes with a common genetic background [42].
Contrary to these neutral results, the negative association between VC and IR was reported by Deng et al. [49], who demonstrated that after 14 days post-infection (dpi) with dengue serotype 2, deltamethrin-resistant Aedes albopictus showed lower values of viral concentration in the head, salivary glands, and ovaries along with lower infection rates. Additionally, it was noted that horizontal transmission to mice and vertical (progeny) transmission were diminished in resistant mosquitoes.
Regarding the presence of mechanisms of IR and their impact on VC, a similar negative pattern was found in Anopheles funestus. Qualitatively, An. funestus mosquitoes carrying a mutation in the glutathione S transferase (L119F-GSTe2) gene are prone to be mosquitoes not infected with P. falciparum. However, the infection intensity (as measured by oocyst count in midguts) was higher in resistant (mutation carriers) and heterozygous mosquitoes [50]. Alout et al. [51] reported these same qualitative and quantitative effects, finding that oocyst and sporozoite prevalence was greater in a strain of An. gambiae s.s. resistant to organophosphates and carbamates and a second strain resistant to pyrethroids and DDT. A difference in infection intensity was noted in the pyrethroid-resistant strain with a reduced oocyst burden compared to carbamate-resistant mosquitoes or the susceptible strain. No impact was observed for sporozoite burden, indicating that the transmission phase was not affected. Another study performed on An. gambiae s. l. showed that infection with P. falciparum was associated with mosquitoes carrying mutant alleles F1014 and S1014 [52].
A positive relationship between VC and IR was also reported in laboratory-designed experiments. For instance, interactions between IR and VC in Cx. quinquefasciatus were displayed in a pathogen-dependent manner. Mosquitoes carrying a mutation in the Ace-1 gene and duplication of an esterase were associated with higher susceptibility to infection and West Nile virus transmission but not for the Rift Valley virus [53]. Information concerning another arbovirus–vector interaction was reported by Parker-Crockett et al. [54], who demonstrated that the infection and dissemination rates of the Zika virus were superior in multi-pyrethroid-resistant populations of Ae. aegypti at 12 days post-infection. Moreover, resistant individuals were genotyped, and almost all individuals analyzed were characterized as homozygous resistant to I1016 and C1534 kdr mutant alleles. A similar pattern was observed for Ae. aegypti; permethrin-selected individuals had higher dissemination rates of dengue serotype 1 [55].
Expanding our understanding of the susceptibility of human-associated vectors to infection, aside from arboviruses or parasites, is also important due to the use of fungal entomopathogens to control vector populations. The two entomopathogens, Metarhizium anisopliae and Beauveria bassiana, displayed a similar tendency regarding IR and susceptibility to infection. Mosquitoes An. gambiae s. s., selected with pyrethroids and carriers of a kdr mutation (L1014F), were more susceptible to infection by these fungi than wild-type mosquitoes [56].
Only a few investigations describe the correspondence between field and laboratory studies. In particular, Saddler et al. [57] reported a laboratory-reared DDT-resistant colony of An. gambiae showed an increase in DDT sensitivity after challenge with P. berghei, similar to the findings of Alout et al. [38] in field-collected An. gambiae s. s. and P. falciparum. Field results were also confirmed in the laboratory by McCarroll and Hemingway [43]; laboratory findings reassured that high esterase activities were negatively correlated with W. bancrofti prevalence to such extent as to completely inhibit parasite infection. Finally, Vézilier et al. [42] found the same non-significant pattern of prevalence and intensity of infection in Cx. pipiens infected with P. relictum in either laboratory-designed or field experiments.
The first objective of this systematic review is to compare the results of the relationship between IR and VC in field-collected insects versus insects reared in optimal, controlled environments. Before drawing any conclusion, we must delimit the compendium of studies involved. Field research is scarcer, and, at the time of writing this manuscript, only nine published articles were found, four of which were conducted in An. gambiae in association with P. falciparum. Interestingly, there were only two studies with arboviruses vectors (Table 1).
It was not possible to find one single clear trend to determine the direction and magnitude at which IR affects VC. Three patterns were found: IR positively affects VC, thus enhancing VC [37,38,39]; IR negatively affects VC, thus diminishing VC [39,43,46]; and IR has no influence on VC [39,40,41,42,45]. More studies are needed to determine what factors dictate the observed patterns. However, it might be hypothesized that these trends are species-specific since it was found that IR positively affected VC or infection susceptibility in An. gambiae s. s. [37,38,51,56] but not in An. gambiae s. l. [40,41], and, in the case of Cx. quinquefasciatus, IR negatively impacted VC [43]. Again, more research must be done to confirm the hypothesis that the effect of IR depends on the insect species. Another important consideration of field research is the physiological status of field-collected larvae. For example, poor larval nutrition reduces VC in An. gambiae s. s. [58], and nowadays, it is well known that microbiota shapes the VC of vectors of human disease [59]. IR mechanisms could be another way to explain the differential impacts of IR on VC, as the negative association found in Cx. quinquefasciatus was related to the increased activity of an esterase, a metabolic IR mechanism [43]. By contrast, target site modifications (kdr mutations) found in An. gambiae were present in the studies where no impacts or positive associations were described [37,38,40,41,51,52].
Results from insects raised in controlled environments show the same three patterns of the influence of IR on VC observed in field research, although studies are also scarce. Furthermore, investigations in laboratory experiments involved arbovirus vectors, and only three articles described the results from vectors of P. falciparum [50,51,52]. In the case of neutral results [42,47,48,53], two works focused on exposure to insecticides without IR mechanisms being analyzed [47,48], and the other only examined the effect of IR mechanisms on VC [43,50,51,52,53,54,56,57]. Only one study [55] evaluated phenotypic resistance and IR mechanisms (Table 1).
The hypothesis that IR influences VC in a species-specific manner, as observed in results from fieldwork, is not supported in the studies conducted in the laboratory. In other words, results obtained from laboratory experiments do not depend on the insect species evaluated. Even though the proposed hypothesis is rejected, a cautious interpretation is needed since most works were performed with arbovirus vectors instead of parasite vectors in field studies.
Additionally, it is important to mention that rearing insects under controlled, optimal conditions might broaden differences with insects found in field environments in which traits such as longevity, blood-feeding behavior, and infection determinants can vary vastly [60]. For example, it has been determined that laboratory rearing increases the fitness of some groups of insects (e.g., Diptera and Hymenoptera) because of the relaxation of selection pressures [61]. This phenomenon could impact some biological characteristics; for instance, Shi et al. [62] reported a lower virome diversity in laboratory-reared Ae. albopictus when compared to field-collected mosquitoes. This same pattern was found for bacteria; a qualitative difference in midgut microbiota has been seen between laboratory-reared and field-collected mosquitoes such as Ae. aegypti, Ae. albopictus, and Cx. quinquefasciatus [63]. Regarding the immune response, the reduction of microbial exposure and the high degree of inbreeding of laboratory-reared mosquitoes could impose a cost in genetic variability that can affect the repertoire of molecules used to recognize pathogens and, thus, increase the differences in VC between field and laboratory, as is reported in Anopheles [64]. Differential regulation of immune elements such as phenoloxidase activity in other vector species has been shown as reported for Cx. pipiens raised in optimal conditions within an insectary versus field-caught mosquitoes [65]. More research is needed to determine the influence of environmental factors and their impact on VC.
There are multiple variables in experimental designs, even in laboratory studies, that can affect the interpretation of results. For example, there should be an agreement on how infectious bloodmeals are offered to insects, what strategies of pathogen identification are utilized, what IR mechanisms are evaluated, what methods are used to determine phenotypic IR, and under what criteria phenotypic IR is established. This agreement could enhance the interpretation of results and help us determine if current vector control strategies should be used despite the presence of IR. We can also highlight the importance of establishing reproducible experiments to assess the impact of IR on VC.

3.2. Effects of Insecticide Exposure on Pathogen Transmission

One key aspect that must be considered while exploring current control efforts’ effectiveness is determining if insecticide exposure could impair or enhance VC. It is possible that exposure to sub-lethal doses of insecticides could decrease insects’ capacity to acquire a pathogen, limiting infection capacity. As this factor remains to be elucidated completely, a contrary enhancing pattern may be present, as reported by Muturi and Alto [66], Moltini-Conclois et al. [67], and Knecht et al. [68]. In this section, we show evidence supporting either of the two scenarios.
Regarding enhancement of VC after exposure to insecticides, Muturi and Alto [65] found increased viral infection and dissemination of the Sindbis virus in Ae. aegypti when larvae were exposed to malathion. However, heat treatment at 30 °C was also applied to immature stages; results must be interpreted with caution as temperature may influence VC [69]. The same effect was found in Ae. aegypti exposed to Bti. Here, the larval exposure augmented dengue infection and dissemination in two Bti-resistant strains of Ae. aegypti [67].
Insecticide susceptibility could interact with physiological characteristics such as insect age. For example, older Ae. albopictus mosquitoes exposed to sublethal doses of bifenthrin develop higher dissemination viral titers of Zika virus than unexposed old (11–12 days old) and younger mosquitoes (6–7 days old). Remarkably, older mosquitoes exposed to bifenthrin exhibited greater viral dissemination to other tissues outside the midgut, even when compared with younger exposed mosquitoes [68].
On the other hand, studies that show an impairment of VC after insecticide exposure are scarcer. Oral consumption of bifenthrin has been shown to reduce dengue infection rates and body titers (dissemination) at 14 dpi in Ae. albopictus, but no effect was observed at 7 dpi [70]. The same trend was consistently found in An. gambiae s. s. collected in Uganda. Homozygous mosquitoes for the kdr mutation L1014S had a reduction in prevalence and infection intensity by P. falciparum after exposure to deltamethrin in contrast to the unexposed control group [44]. Finally, Hauser et al. [71] determined that exposing insects at the larval or adult stage or both stages to permethrin diminished VC of An. gambiae s. s. for P. berghei.
As reported in the previous section, a neutral trend is found in the relationship between insecticide exposure and VC. Alomar et al. [72] reported that exposure to pyriproxyfen had no impact on the infection, dissemination, or transmission rates of the Zika virus in Ae. aegypti.
In this section, we have aimed to review all information regarding the exposure of insects to pesticides; nonetheless, as in the previous section, few heterogeneous studies are published. At the time of writing this review, only seven studies strictly adhered to the direct exposure of immature stages or adult insects to any pesticide and the further evaluation of any component of VC. Besides the small number of studies, there is variation in experimental settings that limits our ability to establish clear conclusions about the influence of insecticide exposure on VC. For example, only one study was performed in the Anopheles-Plasmodium association [44]; the remaining were conducted in Ae. aegypti or Ae. albopictus [66,67,68,70,72]. To expand this variation, insecticides used for bioassays were from different toxicological groups possessing different modes of action (malathion, an organophosphate [66]; Bti, a biological insecticide [67]; pyriproxyfen, a juvenile hormone analog [72]; bifenthrin [68,70]; permethrin [71]; and deltamethrin [44]). Three studies focused on insecticide exposure in larvae [65,66,72], while the other four were performed in adults [67,69,70,71]; finally, there is also variation in the pathogen used for infections; two studies involved the dengue virus [66,69] (Table 1).
We can synthesize most of the studies into two patterns: one shows that exposure to insecticides enhances VC [65,66,67]; on the other hand, a contrary, negative effect could also be observed [69,70,71]. Only one study showed a third pattern in which insecticide exposure had no influence on VC [72]. Two covariates, mosquito age, and heat treatment, are present in the positive studies, complicating the interpretation of results regarding the direct effects of insecticide exposure on VC. These covariates are reported to influence VC; Pigeault et al. [73] observed that older Cx. pipiens had less prevalence and intensity of infection of P. relictum than younger mosquitoes. This contrasts with the results of Knecht et al. [68], where older exposed mosquitoes exhibited higher dissemination rates of the Zika virus. This means that insecticide exposure could be a factor that promotes changes in VC but only in combination with other biological characteristics such as insect age. As for the previous section, there is a need for more studies with standardized experimental designs on the relationship between IR and VC to assure comparable results.

3.3. Impacts of Insecticide Resistance on Pest Vectors in Crops

It has been noted that patterns found in vectors of human pathogens are also present in crop pests. To illustrate this relationship, Wan et al. [74] found that spinosad-resistant Frankliniella occidentalis had higher viral replication, dissemination, and transmission of tomato spotted wilt orthotospovirus (TSWV), contrasting with its susceptible counterpart. These results were obtained only in scenarios where short acquisition periods of the pathogen were evaluated. Regarding life parameters, it is remarkable that resistant F. occidentalis showed a prolonged pre-adult stage, a reduced life span, and lower pupation and sex ratios than its susceptible counterpart. Concerning F. occidentalis IR mechanisms, it has been pointed out that several of these mechanisms resemble those found in human-associated vectors, including decreased penetration of insecticides, detoxifying enzymes, and target resistance. Zhang et al. [75] reported evidence of these similarities, who described genes associated with insecticide resistance using metagenomic approaches and alteration of immune pathways in TSWV-infected F. occidentalis.
Another alteration in VC is observed in Myzus persicae, the peach potato aphid. Here, pyrethroid-susceptible individuals (Type J) displayed less acquisition of potato virus Y in λ-cyhalothrin sprayed leaves than the control (non-sprayed) leaves even three days after spraying. When repeating this experiment using a resistant strain (Type O) characterized by an Ace and a kdr mutation in M918L, the spraying of leaves did not produce a reduction in acquisition of potato virus Y by M. persicae type O. It can be hypothesized that the presence of IR mechanisms affects viral acquisition [76]. In contrast to these findings, no association was determined between IR and VC. Zhao et al. [77] found that, after 48 h, there was no difference in transmission rates between susceptible and spinosad-resistant F. occidentalis individuals. This difference could arise given that IR alters only acquisition events and not the molecular machinery related to the transmission of pathogens [74].
All the studies mentioned earlier were conducted in laboratory settings, and less is known regarding how field variants (e.g., different biotypes) could affect this relationship. Studies conducted in whiteflies (Bemisia tabaci) have reported variations in IR as well as genes related to the transmission of tomato yellow leaf curl virus (TYLCV) and tomato crinivirus (TC) among Middle East-Asia Minor 1 (MEAM 1) and Asia II 1 species. It is important to specify the variation of genes involved in IR, such as acetylcholinesterase like protein and cytochrome P450, proteins acting as target sites for carbamates/organophosphates and detoxifying enzymes for pyrethroids, respectively [78]. On the other hand, protein variants involved in virus transmission were also detected for TYLCV, such as an aldo-ketoreductase and elicitin-like protein 6, in addition to variants for viral transmission of tomato crinivirus such as 70 Da heat shock protein, AAA-ATPase-like domain-containing protein, alpha-glucosidase, and others [78]. Given this example, it is essential to evaluate how this could enhance or hamper VC in the light of IR. Considering these small number of research advances, we can look at fine-scale variation in the relationship between VC and IR in non-human associated vectors. First, it is apparent that, in controlled situations, IR alters the VC of two vectors of crops [74,76,77]. Second, this alteration is complex and remains to be investigated and expanded to other insect species as well as factors such as immune system interplay and evaluation of individuals exposed to insecticides but with one or several resistance mechanisms (Table 1).
Table 1. Studies aimed at the relationship between insecticide resistance (IR) or exposure to insecticides and vector competence (VC).
Table 1. Studies aimed at the relationship between insecticide resistance (IR) or exposure to insecticides and vector competence (VC).
SpeciesPathogenInsecticide ExposureMetabolic ResistanceTarget Site ModificationsPhenotypic ResistanceType of AssociationLocationAdditional TreatmentsReference
Anopheles gambiaePlasmodium bergheiDDTGST DDTPositiveLab [57]
An.gambiae s.s.Plasmodium falciparum L1014SDeltamethrinPositiveField [37]
Plasmodium falciparumDDT L1014FDDTPositiveField [38]
Plasmodium falciparum L1014F, G119SOP, CAR, and PYR-DDTNegative 1Lab [51]
Plasmodium falciparum L1014F, G119SOP, CAR, and PYR-DDTPositive 2Lab [51]
Metarhizium 3 anisopliae L1014FPYRPositiveLab [56]
Beauveria bassiana 3 L1014FPYRPositiveLab [56]
Plasmodium falciparumDeltamethrin L1014S NegativeField [44]
Plasmodium bergheiPermethrin NegativeLabLarval competition[71]
An.s gambiae s. l.Plasmodium falciparumα-Cypermethrin, Deltamethrin, Permethrin N1575Y, I1527T, L1014F, G119SPYRNeutralField [40]
Plasmodium sp. L1014F, G119S NeutralField [41]
Plasmodium falciparum L1014F, L1014S PositiveLab [52]
An. funestusPlasmodium falciparum L119F-GSTe2 Negative 1 Lab [50]
Plasmodium falciparum L119F-GSTe2 Positive 2 Lab [50]
Plasmodium sp. L119F-GSTe2 NeutralField [39]
Plasmodium sp. L119F-GSTe2 PositiveField [39]
Plasmodium sp. A296S (GABA) NegativeField [39]
Culex gelidusJapanese Encephalitis Virus Deltamethrin, MalathionNeutralField [45]
Cx. pipiensPlasmodium relictum Ester, AceR NeutralField [42]
Plasmodium relictum Ester, AceR NeutralLab [42]
Cx. quinquefasciatusWuchereria bancrofti Esterase activity NegativeField [43]
Wuchereria bancrofti Esterase activity NegativeLab [43]
WNV G119S, EsterOPPositiveLab [53]
RVV G119S, EsterOPNeutralLab [53]
Aedes aegyptiDENV-2DDT NeutralLabHeat shock [47]
DENV-1Bti NeutralLabLarval densities[48]
Zika V1016I, F1534CPYRPositiveLab [54]
SindbisMalathion PositiveLabHeat treatment[66]
DENVBti BtiPositiveLab [67]
ZIKVPyriproxyfen NeutralLab [72]
DENV-1 CYP and GSTV1016I, F1534CPYRPositiveLab [55]
DENV V1016I, F1534C NegativeField [46]
Ae. albopictusDENV-2 DeltamethrinNegativeLab [49]
ZikaBifenthrin PositiveLab [68]
DENVBifenthrin NegativeLab [70]
Frankliniella occidentalisTomato spotted wilt orthotospovirus SpinosadPositiveLab [74]
Tomato spotted wilt orthotospovirus SpinosadNeutralLab [77]
Myzus persicaePotato Virus Yλ-Cyhalothrin Ace, M918LDiethyl carbamates PYRPositiveLab [76]
OP, organophosphates; CAR, carbamates; PYR, pyrethroids. 1 Indicates that the negative influence of IR on VC was detected in the prevalence of infection. 2 Indicates that the positive impact of IR or exposure to insecticides was detected in the pathogen’s burden (intensity of infection. 3 They were included to show the relationship between infection susceptibility and IR; these are independent of VC.

4. Conclusions

There is currently a need to determine the consequences that IR can have on vector control programs and, in turn, on the transmission of pathogens. In this review, we aimed to establish the influence of IR and exposure to insecticides on the ability of organisms to become infected, maintain infection, and transmit a pathogen, that is, their VC. Although current information is scarce and obtained under highly heterogeneous experimental designs, evidence indicates that insecticide exposure and resistance increase the risk of pathogen transmission. Under this context, adverse effects such as epidemics in human populations or economic repercussions on crops will increase while current vector control efforts become entirely ineffective. However, studies also point to opposite effects where IR or exposure to insecticides reduces VC. To determine the impact of IR on VC precisely, it is essential to establish reproducible experimental designs to reduce the presence of confusing variables that make the interpretation of results difficult. Therefore, although there is evidence related to the influence of IR on VC, more research is necessary.

Author Contributions

Conceptualization, A.E.F. and A.E.J.-V.; methodology, A.E.J.-V. and A.E.F.; validation, V.P.-R. and S.M.G.-L.; investigation, A.E.J.-V. and A.E.F.; data curation, A.E.J.-V.; writing—original draft preparation, A.E.F. and A.E.J.-V.; writing—review, and editing, A.E.F., A.E.J.-V., V.P.-R., S.M.G.-L., G.P.-G., B.L.-M., I.F.-S. and I.P.R.-S.; supervision, A.E.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare that the opinions in this review were conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. The authors’ views do not reflect the opinions of the represented organizations.

References

  1. Eggleton, P. The state of the World’s insects. Annu. Rev. Environ. Resour. 2020, 45, 61–82. [Google Scholar] [CrossRef]
  2. WHO. Vector-Borne Diseases; WHO: Geneva, Switzerland, 2020. Available online: https://www.who.int/en/news-room/fact-sheets/detail/vector-borne-diseases (accessed on 5 December 2021).
  3. Heck, M. Insect transmission of plant pathogens: A systems biology perspective. MSystems 2018, 3, e00168-17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Savary, S.; Willocquet, L.; Pethybridge, S.J.; Esker, P.; McRoberts, N.; Nelson, A. The global burden of pathogens and pests on major food crops. Nat. Ecol. Evol. 2019, 3, 430–439. [Google Scholar] [CrossRef] [PubMed]
  5. Beerntsen, B.T.; James, A.A.; Christensen, B.M. Genetics of mosquito vector competence. Microbiol. Mol. Biol. Rev. 2000, 64, 115–137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Viglietta, M.; Bellone, R.; Blisnick, A.A.; Failloux, A.B. Vector specificity of arbovirus transmission. Front. Microbiol. 2021, 12, 773211. [Google Scholar] [CrossRef]
  7. Chan, M.; Johansson, M.A. The incubation periods of dengue viruses. PLoS ONE 2012, 7, e50972. [Google Scholar] [CrossRef]
  8. Gabrieli, P.; Caccia, S.; Varotto-Boccazzi, I.; Arnoldi, I.; Barbieri, G.; Comandatore, F.; Epis, S. Mosquito trilogy: Microbiota, immunity and pathogens, and their implications for the control of disease transmission. Front. Microbiol. 2021, 12, 630438. [Google Scholar] [CrossRef]
  9. Souza-Neto, J.A.; Powell, J.R.; Bonizzoni, M. Aedes aegypti vector competence studies: A review. Infect. Genet. Evol. 2019, 67, 191–209. [Google Scholar] [CrossRef]
  10. Chamberlain, R.W.; Sudia, W.D. Mechanism of transmission of viruses by mosquitoes. Annu. Rev. Entomol. 1961, 6, 371–390. [Google Scholar] [CrossRef]
  11. Hardy, J.L.; Houk, E.J.; Kramer, L.D.; Reeves, W.C. Intrinsic factors affecting vector competence of mosquitoes for arboviruses. Annu. Rev. Entomol. 1983, 28, 229–262. [Google Scholar] [CrossRef]
  12. Franz, A.W.; Kantor, A.M.; Passarelli, A.L.; Clem, R.J. Tissue barriers to arbovirus infection in mosquitoes. Viruses 2015, 7, 3741–3767. [Google Scholar] [CrossRef] [PubMed]
  13. Kramer, L.D.; Ciota, A.T. Dissecting vectorial capacity for mosquito-borne viruses. Curr. Opin. Virol. 2015, 15, 112–118. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Wu, P.; Yu, X.; Wang, P.; Cheng, G. Arbovirus lifecycle in mosquito: Acquisition, propagation and transmission. Expert. Rev. Mol. Med. 2019, 21, e1. [Google Scholar] [CrossRef] [PubMed]
  15. Manyilizu, W.B. Pesticides, Anthropogenic Activities, History and the Health of Our Environment: Lessons from Africa. In Pesticides—Use and Misuse and Their Impact in the Environment; Larramendy, M., Soloneski, S., Eds.; IntechOpen: London, UK, 2019; pp. 1–13. Available online: https://www.intechopen.com/chapters/66189 (accessed on 15 December 2021).
  16. Yu, S.J. The Toxicology and Biochemistry of Insecticides; CRC Press: Boca Raton, FL, USA, 2015; pp. 31–100. ISBN 9781482210606. [Google Scholar]
  17. WHO. Test Procedures for Insecticide Resistance Monitoring in Malaria Vector Mosquitoes, 2nd ed.; WHO: Geneva, Switzerland, 2016. Available online: http://www.who.int/malaria/publications/atoz/9789241511575/en/ (accessed on 15 December 2021).
  18. Oppold, A.M.; Müller, R. Epigenetics: A hidden target of insecticides. In Advances in Insect Physiology; Verlinden, H., Ed.; Academic Press: Cambridge, MA, USA, 2017; pp. 313–324. [Google Scholar]
  19. Insecticide Resistance Action Committee (IRAC). Resistance. 2019. Available online: https://www.irac-online.org/about/resistance/ (accessed on 15 December 2021).
  20. Hayd, R.L.N.; Carrara, L.; de Melo Lima, J.; de Almeida, N.C.V.; Lima, J.B.P.; Martins, A.J. Evaluation of resistance to pyrethroid and organophosphate adulticides and kdr genotyping in Aedes aegypti populations from Roraima, the northernmost Brazilian State. Parasites Vectors 2020, 13, 264. [Google Scholar] [CrossRef]
  21. Chanda, J.; Saili, K.; Phiri, F.; Stevenson, J.C.; Mwenda, M.; Chishimba, S.; Mulube, C.; Mambwe, B.; Lungu, C.; Earle, D.; et al. Pyrethroid and carbamate resistance in Anopheles funestus Giles along Lake Kariba in Southern Zambia. Am. J. Trop. Med. Hyg. 2020, 103 (Suppl. 2), 90–97. [Google Scholar] [CrossRef] [PubMed]
  22. Chen, M.; Du, Y.; Wu, S.; Nomura, Y.; Zhu, G.; Zhorov, B.S.; Dong, K. Molecular evidence of sequential evolution of DDT- and pyrethroid-resistant sodium channel in Aedes aegypti. PLoS Negl. Trop. Dis. 2019, 13, e0007432. [Google Scholar] [CrossRef]
  23. Dang, K.; Doggett, S.L.; Veera Singham, G.; Lee, C.T. Insecticide resistance and resistance mechanisms in bed bugs, Cimex spp. (Hemiptera: Cimicidae). Parasites Vectors 2017, 10, 318. [Google Scholar] [CrossRef] [Green Version]
  24. Zalucki, M.P.; Furlong, M.J. Behavior as a mechanism of insecticide resistance: Evaluation of the evidence. Curr. Opin. Insect Sci. 2017, 21, 19–25. [Google Scholar] [CrossRef] [Green Version]
  25. Ndiath, M.O. Insecticides and insecticide resistance. Methods Mol. Biol. 2019, 2013, 287–304. [Google Scholar] [CrossRef]
  26. Chen, M.; Du, Y.; Nomura, Y.; Zhorov, B.S.; Dong, K. Chronology of sodium channel mutations associated with pyrethroid resistance in Aedes aegypti. Arch. Insect Biochem. Physiol. 2020, 104, e21686. [Google Scholar] [CrossRef]
  27. Guo, D.; Luo, J.; Zhou, Y.; Xiao, H.; He, K.; Yin, C.; Xu, J.; Li, F. ACE: An efficient and sensitive tool to detect insecticide resistance-associated mutations in insect acetylcholinesterase from RNA-Seq data. BMC Bioinform. 2017, 18, 330. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Aïzoun, N.; Aïkpon, R.; Padonou, G.G.; Oussou, O.; Oké-Agbo, F.; Gnanguenon, V.; Ossè, R.; Akogbéto, M. Mixed-function oxidases and esterases associated with permethrin, deltamethrin and bendiocarb resistance in Anopheles gambiae s.l. in the south-north transect Benin, West Africa. Parasites Vectors 2013, 6, 223. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Pethuan, S.; Jirakanjanakit, N.; Saengtharatip, S.; Chareonviriyaphap, T.; Kaewpa, D.; Rongnoparut, P. Biochemical studies of insecticide resistance in Aedes (Stegomyia) aegypti and Aedes (Stegomyia) albopictus (Diptera: Culicidae) in Thailand. Trop. Biomed. 2007, 24, 7–15. [Google Scholar] [PubMed]
  30. Che-Mendoza, A.; Penilla, R.P.; Rodriguez, D.A. Insecticide resistance and glutathione S-transferases in mosquitoes: A review. Afr. J. Biotech. 2009, 8, 1386–1397. [Google Scholar] [CrossRef]
  31. Bhatt, P.; Bhatt, K.; Huang, Y.; Lin, Z.; Chen, S. Esterase is a powerful tool for the biodegradation of pyrethroid insecticides. Chemosphere 2020, 244, 125507. [Google Scholar] [CrossRef] [PubMed]
  32. Barbosa, S.; Kay, K.; Chitnis, N.; Hastings, I.M. Modelling the impact of insecticide-based control interventions on the evolution of insecticide resistance and disease transmission. Parasites Vectors 2018, 11, 482. [Google Scholar] [CrossRef] [PubMed]
  33. Shanmugaraj, B.; Malla, A.; Ramalingam, S. Epidemiology, clinical features and transmission of re-emerging arboviral infection chikungunya. Asian Pac. J. Trop. Biomed. 2019, 9, 135–139. [Google Scholar] [CrossRef]
  34. Boudh, S.; Singh, J.S. Pesticide Contamination: Environmental Problems and Remediation Strategies. In Emerging and Eco-Friendly Approaches for Waste Management; Bharagava, R.N., Chowdhary, P., Eds.; Springer: Singapore, 2019; pp. 245–269. [Google Scholar]
  35. Koch, R.L.; Hodgson, E.W.; Knodel, J.J.; Varenhorst, A.J.; Potter, B.D. Management of insecticide-resistant soybean aphids in the upper midwest of the United States. J. Integr. Pest Manag. 2018, 9, 23. [Google Scholar] [CrossRef]
  36. Roditakis, E.; Vasakis, E.; García-Vidal, L.; Martínez-Aguirre, M.D.R.; Rison, J.L.; Haxaire-Lutun, M.O.; Nauen, R.; Tsagkarakou, A.; Bielza, P. A four-year survey on insecticide resistance and likelihood of chemical control failure for tomato leaf miner Tuta absoluta in the European/Asian region. J. Pest Sci. 2017, 91, 421–435. [Google Scholar] [CrossRef]
  37. Kabula, B.; Tungu, P.; Rippon, E.J.; Steen, K.; Kisinza, W.; Magesa, S.; Mosha, F.; Donnelly, M.J. A significant association between deltamethrin resistance, Plasmodium falciparum infection and the Vgsc-1014S resistance mutation in Anopheles gambiae highlights the epidemiological importance of resistance markers. Malar. J. 2016, 15, 289. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Alout, H.; Yameogo, B.; Djogbénou, L.S.; Chandre, F.; Dabiré, R.K.; Corbel, V.; Cohuet, A. Interplay between Plasmodium infection and resistance to insecticides in vector mosquitoes. J. Infect. Dis. 2014, 210, 1464–1470. [Google Scholar] [CrossRef] [PubMed]
  39. Tchouakui, M.; Chiang, M.C.; Ndo, C.; Kuicheu, C.K.; Amvongo-Adjia, N.; Wondji, M.J.; Tchoupo, M.; Kusimo, M.O.; Riveron, J.M.; Wondji, C.S. A marker of glutathione S-transferase-mediated resistance to insecticides is associated with higher Plasmodium infection in the African malaria vector Anopheles funestus. Sci. Rep. 2019, 9, 5772. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Collins, E.; Vaselli, N.M.; Sylla, M.; Beavogui, A.H.; Orsborne, J.; Lawrence, G.; Wiegand, R.E.; Irish, S.R.; Walker, T.; Messenger, L.A. The relationship between insecticide resistance, mosquito age and malaria prevalence in Anopheles gambiae s.l. from Guinea. Sci. Rep. 2019, 9, 8846. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Wolie, R.; Koffi, A.A.; Ahoua Alou, L.P.; Sternberg, E.D.; N’Nan-Alla, O.; Dahounto, A.; Yapo, F.H.A.; Kanh, K.M.H.; Camara, S.; Oumbouke, W.A.; et al. Evaluation of the interaction between insecticide resistance-associated genes and malaria transmission in Anopheles gambiae sensu lato in central Côte d’Ivoire. Parasites Vectors 2021, 14, 581. [Google Scholar] [CrossRef] [PubMed]
  42. Vézilier, J.; Nicot, A.; Gandon, S.; Rivero, A. Insecticide resistance and malaria transmission: Infection rate and oocyst burden in Culex pipiens mosquitoes infected with Plasmodium relictum. Malar. J. 2020, 9, 379. [Google Scholar] [CrossRef] [Green Version]
  43. McCarroll, L.; Hemingway, J. Can insecticide resistance status affect parasite transmission in mosquitoes? Insect Biochem. Mol. Biol. 2002, 32, 1345–1351. [Google Scholar] [CrossRef]
  44. Kristan, M.; Lines, J.; Nuwa, A.; Ntege, C.; Meek, S.R.; Abeku, T.A. Exposure to deltamethrin affects development of Plasmodium falciparum inside wild pyrethroid resistant Anopheles gambiae s.s. mosquitoes in Uganda. Parasites Vectors 2016, 9, 100. [Google Scholar] [CrossRef] [Green Version]
  45. Anbalagan, R.; Shukla, A.; Subramanian, V.; Srivastava, P.K.; Krishnan, J. Monitoring of insecticide resistance and exploring the presence of virus in field populations of Culex gelidus at Thiruvarur District of Tamil. J. Commun. Dis. 2021, 53, 76–83. [Google Scholar] [CrossRef]
  46. Stephenson, C.J.; Coatsworth, H.; Waits, C.M.; Nazario-Maldonado, N.M.; Mathias, D.K.; Dinglasan, R.R.; Lednicky, J.A. Geographic partitioning of dengue virus transmission risk in Florida. Viruses 2021, 13, 2232. [Google Scholar] [CrossRef]
  47. Yadav, P.; Barde, P.V.; Gokhale, M.D.; Vipat, V.; Mishra, A.C.; Pal, J.K.; Mourya, D.T. Effect of temperature and insecticide stresses on Aedes aegypti larvae and their influence on the susceptibility of mosquitoes to dengue-2 virus. SE Asian J. Trop. Med. Public Health 2005, 36, 1139–1144. [Google Scholar]
  48. Alto, B.W.; Lord, C.C. Transstadial Effects of Bti on traits of Aedes aegypti and infection with dengue virus. PLoS Negl. Trop. Dis. 2016, 10, e0004370. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Deng, J.; Guo, Y.; Su, X.; Liu, S.; Yang, W.; Wu, Y.; Wu, K.; Yan, G.; Chen, X.G. Impact of deltamethrin-resistance in Aedes albopictus on its fitness cost and vector competence. PLoS Negl. Trop. Dis. 2021, 15, e0009391. [Google Scholar] [CrossRef]
  50. Ndo, C.; Kopya, E.; Irving, H.; Wondji, C. Exploring the impact of glutathione S-transferase (GST)-based metabolic resistance to insecticide on vector competence of Anopheles funestus for Plasmodium falciparum. Wellcome Open Res. 2019, 4, 52. [Google Scholar] [CrossRef] [PubMed]
  51. Alout, H.; Ndam, N.T.; Sandeu, M.M.; Djégbe, I.; Chandre, F.; Dabiré, R.K.; Djogbénou, L.S.; Corbel, V.; Cohuet, A. Insecticide resistance alleles affect vector competence of Anopheles gambiae s.s. for Plasmodium falciparum field isolates. PLoS ONE 2013, 8, e63849. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Ndiath, M.O.; Cailleau, A.; Diedhiou, S.M.; Gaye, A.; Boudin, C.; Richard, V.; Trape, J.F. Effects of the kdr resistance mutation on the susceptibility of wild Anopheles gambiae populations to Plasmodium falciparum: A hindrance for vector control. Malar. J. 2014, 13, 340. [Google Scholar] [CrossRef] [Green Version]
  53. Atyame, C.M.; Alout, H.; Mousson, L.; Vazeille, M.; Diallo, M.; Weill, M.; Failloux, A.B. Insecticide resistance genes affect Culex quinquefasciatus vector competence for West Nile virus. Proc. Biol. Sci. 2019, 286, 20182273. [Google Scholar] [CrossRef] [Green Version]
  54. Parker-Crockett, C.; Connelly, C.R.; Siegfried, B.; Alto, B. Influence of pyrethroid resistance on vector competency for Zika virus by Aedes aegypti (Diptera: Culicidae). J. Med. Entomol. 2021, 58, 1908–1916. [Google Scholar] [CrossRef]
  55. Chen, T.Y.; Smartt, C.T.; Shin, D. Permethrin resistance in Aedes aegypti affects aspects of vectorial capacity. Insects 2021, 12, 71. [Google Scholar] [CrossRef]
  56. Howard, A.F.; Koenraadt, C.J.; Farenhorst, M.; Knols, B.G.; Takken, W. Pyrethroid resistance in Anopheles gambiae leads to increased susceptibility to the entomopathogenic fungi Metarhizium anisopliae and Beauveria bassiana. Malar. J. 2010, 9, 168. [Google Scholar] [CrossRef] [Green Version]
  57. Saddler, A.; Burda, P.C.; Koella, J.C. Resisting infection by Plasmodium berghei increases the sensitivity of the malaria vector Anopheles gambiae to DDT. Malar. J. 2015, 14, 134. [Google Scholar] [CrossRef] [Green Version]
  58. Barreaux, A.M.G.; Barreaux, P.; Thievent, K.; Koella, J.C. Larval environment influences vector competence of the malaria mosquito Anopheles gambiae. Malar. World J. 2016, 7, 1–6. Available online: https://malariaworld.org/mwj/2016/research-larval-environment-influences-vector-competence-malaria-mosquito-anopheles-gambiae (accessed on 20 January 2022).
  59. Cirimotich, C.M.; Ramirez, J.L.; Dimopoulos, G. Native microbiota shape insect vector competence for human pathogens. Cell Host Microbe 2011, 10, 307–310. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Namias, A.; Jobe, N.B.; Paaijmans, K.P.; Huijben, S. The need for practical insecticide-resistance guidelines to effectively inform mosquito-borne disease control programs. Elife 2021, 10, e65655. [Google Scholar] [CrossRef] [PubMed]
  61. Hoffmann, A.; Ross, P. Rates and patterns of laboratory adaptation in (mostly) insects. J. Econ. Entomol. 2018, 111, 501–509. [Google Scholar] [CrossRef] [PubMed]
  62. Shi, C.; Zhao, L.; Atoni, E.; Zeng, W.; Hu, X.; Matthijnssens, J.; Yuan, Z.; Xia, H. Stability of the virome in lab- and field-collected Aedes albopictus mosquitoes across different developmental stages and possible core viruses in the publicly available virome data of Aedes mosquitoes. MSystems 2020, 5, e00640-20. [Google Scholar] [CrossRef]
  63. Gazzoni Araújo Gonçalves, G.; Feitosa, A.P.S.; Portela-Júnior, N.C.; de Oliveira, C.M.F.; de Lima Filho, J.L.; Brayner, F.A.; Alves, L.C. Use of MALDI-TOF MS to identify the culturable midgut microbiota of laboratory and wild mosquitoes. Acta Trop. 2019, 200, 105174. [Google Scholar] [CrossRef]
  64. Aguilar, R.; Dong, Y.; Warr, E.; Dimopoulos, G. Anopheles infection responses; laboratory models versus field malaria transmission systems. Acta Trop. 2005, 95, 285–291. [Google Scholar] [CrossRef]
  65. Cornet, S.; Gandon, S.; Rivero, A. Patterns of phenoloxidase activity in insecticide resistant and susceptible mosquitoes differ between laboratory-selected and wild-caught individuals. Parasites Vectors 2013, 6, 315. [Google Scholar] [CrossRef] [Green Version]
  66. Muturi, E.J.; Alto, B.W. Larval environmental temperature and insecticide exposure alter Aedes aegypti competence for arboviruses. Vector-Borne Zoonotic Dis. 2011, 11, 1157–1163. [Google Scholar] [CrossRef]
  67. Moltini-Conclois, I.; Stalinski, R.; Tetreau, G.; Després, L.; Lambrechts, L. Larval exposure to the bacterial insecticide bti enhances dengue virus susceptibility of adult Aedes aegypti mosquitoes. Insects 2018, 9, 193. [Google Scholar] [CrossRef] [Green Version]
  68. Knecht, H.; Richards, S.L.; Balanay, J.A.G.; White, A.V. Impact of mosquito age and insecticide exposure on susceptibility of Aedes albopictus (Diptera: Culicidae) to infection with Zika virus. Pathogens 2018, 7, 67. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Bellone, R.; Failloux, A.B. The Role of Temperature in shaping mosquito-borne viruses transmission. Front. Microbiol. 2020, 11, 584846. [Google Scholar] [CrossRef] [PubMed]
  70. Richards, S.L.; White, A.V.; Balanay, J.A.G. Potential for sublethal insecticide exposure to impact vector competence of Aedes albopictus (Diptera: Culicidae) for dengue and Zika viruses. Res. Rep. Trop. Med. 2017, 8, 53–57. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Hauser, G.; Thiévent, K.; Koella, J.C. Consequences of larval competition and exposure to permethrin for the development of the rodent malaria Plasmodium berghei in the mosquito Anopheles gambiae. Parasites Vectors 2020, 13, 107. [Google Scholar] [CrossRef]
  72. Alomar, A.A.; Eastmond, B.H.; Alto, B.W. The effects of exposure to pyriproxyfen and predation on Zika virus infection and transmission in Aedes aegypti. PLoS Negl. Trop. Dis. 2020, 14, e0008846. [Google Scholar] [CrossRef]
  73. Pigeault, R.; Nicot, A.; Gandon, S.; Rivero, A. Mosquito age and avian malaria infection. Malar. J. 2015, 14, 383. [Google Scholar] [CrossRef] [Green Version]
  74. Wan, Y.; Zheng, X.; Xu, B.; Xie, W.; Wang, S.; Zhang, Y.; Zhou, X.; Wu, Q. Insecticide resistance increases the vector competence: A case study in Frankliniella occidentalis. J. Pest Sci. 2021, 94, 83–91. [Google Scholar] [CrossRef]
  75. Zhang, Z.; Zhang, P.; Li, W.; Zhang, J.; Huang, F.; Yang, J.; Bei, Y.; Lu, Y. De novo transcriptome sequencing in Frankliniella occidentalis to identify genes involved in plant virus transmission and insecticide resistance. Genomics 2013, 101, 296–305. [Google Scholar] [CrossRef] [Green Version]
  76. Fenton, B.; Salter, W.T.; Malloch, G.; Begg, G.; Anderson, E. Stopped in its tracks: How λ-cyhalothrin can break the aphid transmission of a potato potyvirus. Pest Manag. Sci. 2015, 71, 1611–1616. [Google Scholar] [CrossRef]
  77. Zhao, W.; Wan, Y.; Xie, W.; Xu, B.; Zhang, Y.; Wang, S.; Wei, G.; Zhou, X.; Wu, Q. Effect of spinosad resistance on transmission of tomato spotted wilt virus by the western flower thrips (Thysanoptera: Thripidae). J. Econ. Entomol. 2015, 109, 62–69. [Google Scholar] [CrossRef]
  78. Hussain, S.; Farooq, M.; Malik, H.J.; Amin, I.; Scheffler, B.E.; Scheffler, J.A.; Liu, S.S.; Mansoor, S. Whole genome sequencing of Asia II 1 species of whitefly reveals that genes involved in virus transmission and insecticide resistance have genetic variances between Asia II 1 and MEAM1 species. BMC Genom. 2019, 20, 507. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Juache-Villagrana, A.E.; Pando-Robles, V.; Garcia-Luna, S.M.; Ponce-Garcia, G.; Fernandez-Salas, I.; Lopez-Monroy, B.; Rodriguez-Sanchez, I.P.; Flores, A.E. Assessing the Impact of Insecticide Resistance on Vector Competence: A Review. Insects 2022, 13, 377. https://0-doi-org.brum.beds.ac.uk/10.3390/insects13040377

AMA Style

Juache-Villagrana AE, Pando-Robles V, Garcia-Luna SM, Ponce-Garcia G, Fernandez-Salas I, Lopez-Monroy B, Rodriguez-Sanchez IP, Flores AE. Assessing the Impact of Insecticide Resistance on Vector Competence: A Review. Insects. 2022; 13(4):377. https://0-doi-org.brum.beds.ac.uk/10.3390/insects13040377

Chicago/Turabian Style

Juache-Villagrana, Alan E., Victoria Pando-Robles, Selene M. Garcia-Luna, Gustavo Ponce-Garcia, Ildefonso Fernandez-Salas, Beatriz Lopez-Monroy, Iram P. Rodriguez-Sanchez, and Adriana E. Flores. 2022. "Assessing the Impact of Insecticide Resistance on Vector Competence: A Review" Insects 13, no. 4: 377. https://0-doi-org.brum.beds.ac.uk/10.3390/insects13040377

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop