Host-Microbial Interactions
Research Article
4 January 2023

In Vitro and In Vivo Coinfection and Superinfection Dynamics of Mayaro and Zika Viruses in Mosquito and Vertebrate Backgrounds

ABSTRACT

Globalization and climate change have contributed to the simultaneous increase and spread of arboviral diseases. Cocirculation of several arboviruses in the same geographic region provides an impetus to study the impacts of multiple concurrent infections within an individual vector mosquito. Here, we describe coinfection and superinfection with the Mayaro virus (Togaviridae, Alphavirus) and Zika virus (Flaviviridae, Flavivirus) in vertebrate and mosquito cells, as well as Aedes aegypti adult mosquitoes, to understand the interaction dynamics of these pathogens and effects on viral infection, dissemination, and transmission. Aedes aegypti mosquitoes were able to be infected with and transmit both pathogens simultaneously. However, whereas Mayaro virus was largely unaffected by coinfection, it had a negative impact on infection and dissemination rates for Zika virus compared to single infection scenarios. Superinfection of Mayaro virus atop a previous Zika virus infection resulted in increased Mayaro virus infection rates. At the cellular level, we found that mosquito and vertebrate cells were also capable of being simultaneously infected with both pathogens. Similar to our findings in vivo, Mayaro virus negatively affected Zika virus replication in vertebrate cells, displaying complete blocking under certain conditions. Viral interference did not occur in mosquito cells.
IMPORTANCE Epidemiological and clinical studies indicate that multiple arboviruses are cocirculating in human populations, leading to some individuals carrying more than one arbovirus at the same time. In turn, mosquitoes can become infected with multiple pathogens simultaneously (coinfection) or sequentially (superinfection). Coinfection and superinfection can have synergistic, neutral, or antagonistic effects on viral infection dynamics and ultimately have impacts on human health. Here we investigate the interaction between Zika virus and Mayaro virus, two emerging mosquito-borne pathogens currently circulating together in Latin America and the Caribbean. We find a major mosquito vector of these viruses—Aedes aegypti—can carry and transmit both arboviruses at the same time. Our findings emphasize the importance of considering co- and superinfection dynamics during vector–pathogen interaction studies, surveillance programs, and risk assessment efforts in epidemic areas.

INTRODUCTION

The last several decades have seen a dramatic increase in the incidence of arboviral diseases, a trend attributed to increased international trade and transport, climate change, and urban crowding. Increasing landscape fragmentation and human activities are disturbing natural ecosystems, thereby promoting the spillover of new pathogens with epidemic potential into naive geographic regions (1). More than 150 different arboviruses have been reported in the neotropical region of the Americas (2), where they coexist and cocirculate in many areas through sylvatic and/or urban cycles (3, 4). Despite this diversity and cocirculation of multiple arboviruses in the same geographical areas, some pathogens often go unnoticed in both vector and host due to lack of surveillance, overlapping clinical symptoms, and/or the absence of specific diagnostic tests (5). Clinical studies have identified the cocirculation of multiple arboviruses such as dengue (DENV), Zika (ZIKV), Chikungunya (CHIKV), and Mayaro (MAYV) viruses in epidemic areas (6 to 9), but there is only one report of a field-collected mosquito carrying multiple arboviruses (10). However, this may be an artifact of methodology, as most surveillance programs analyze pooled mosquito samples to save time and resources, making it impossible to discern the number of coinfected mosquitoes and their potential contribution to the transmission cycle of those viruses. In contrast, coinfection and cotransmission of certain arboviruses have been demonstrated repeatedly under laboratory conditions (11 to 14).
Mayaro virus (MAYV; Togaviridae, Alphavirus) is an emerging neglected arbovirus thought to be transmitted by Aedes, Anopheles, and Haemagogus mosquitoes (15). Mayaro virus is actively circulating in Latin America as well as sporadically in the Caribbean (16, 17) and is on a trajectory of geographical expansion and increasing incidence, particularly in Brazil and Peru (17 to 19). For these reasons, MAYV was categorized as an emerging threat to public health by the Pan American Health Organization (PAHO) in 2019 (20). Zika virus (ZIKV; Flaviviridae, Flavivirus) is primarily transmitted by Aedes mosquitoes and emerged as a major arboviral public health concern due to its capacity to cross the placenta in pregnant women and severely harm the development of human fetuses (21, 22). The overlapping distributions of these two viruses and the ubiquity of Aedes vectors in Latin America (Fig. 1) both suggest the potential for coinfection of humans, possibly driven by the bites of coinfected mosquitoes. Indeed, there are several reports of MAYV patients coinfected with CHIKV (8, 19), ZIKV (23), and DENV (23, 24), which could potentially lead to double-infected mosquitoes. Aedes aegypti is especially worrying as a potential double-infection vector due to its highly anthropophilic behavior (25) and heightened vectorial capacity of ZIKV (26, 27). To date, there are no empirical data on Ae. aegypti coinfection with MAYV and ZIKV in nature. However, a recent study identified MAYV and DENV-4 (Flaviviridae, Flavivirus) in pools of Ae. aegypti collected in Mato Grosso (Brazil) (28), possibly indicating the presence of double-infected mosquitoes. Considering the vector competence of the species for both ZIKV (26, 27) and MAYV (15, 29), the overlapping distributions of pathogens and vector in Latin America, and the field-collected data above, we hypothesize that Ae. aegypti can sustain MAYV and ZIKV transmission cycles simultaneously.
FIG 1
FIG 1 Geographical range of Mayaro and Zika viruses. Virus distributions are based on reports of human cases, human serosurvey data, and mosquito surveillance. Countries reporting the presence of ZIKV are shown in red, while countries reporting the presence of MAYV and ZIKV are shown in blue/red stripes. (No country has reported MAYV but not ZIKV). The map was generated using mapchart.net/detworld.html and is based on CDC data and previous publications (17, 60).
Simultaneous exposure of a vector to multiple pathogens through a single infection event is referred to as coinfection (CI), while serial infection of the vector with different pathogens during sequential feeding events is referred to as superinfection (SI) (30, 31) (Fig. 2). While both are possible, superinfection may be more likely in nature for mosquito species that blood feed multiple times during a single gonotrophic cycle, show aggressive feeding behavior, and/or seek a second bloodmeal following incomplete feeding, as is the case for both Ae. aegypti and Ae. albopictus (32). There are three potential outcomes when multiple arboviruses co- or superinfect the same vector: (i) an antagonistic interaction that results in partial or total inhibition of one or both viruses, (ii) a synergistic interaction that enhances one or both viruses, or (iii) a neutral coexistence of both viruses without any alteration of their viral fitness (33). Here, we coinfect and superinfect Ae. aegypti mosquitoes with MAYV and ZIKV to study their interactions and consequent effects on vector competence. We also investigate the interaction kinetics of CI and SI in vertebrate and invertebrate cells, and we demonstrate that coinfection occurs at the level of single cells.
FIG 2
FIG 2 Double infection routes in mosquito vectors. Schematic depicting how virus-competent mosquitoes become infected with multiple arboviruses during either a single feeding event (coinfection [CI]; left) or sequential feeding events 1 and 2 (superinfection [SI]; right).

RESULTS

Coinfection and superinfection modify infection rate, dissemination rate, and viral titers in Ae. aegypti.

To investigate any effects of CI and SI on vector competence, Ae. aegypti females were orally challenged with MAYV and ZIKV via single, simultaneous (coinfections), or serial (superinfections) spiked blood meals. By quantifying live virus titers in the bodies, legs, and saliva of Ae. aegypti females following viral challenge, we calculated infection rates (IR) (mosquitoes with virus-positive bodies/total exposed mosquitoes), dissemination rates (DIR) (virus-positive legs/virus-positive bodies), and transmission efficiency (TE) (virus-positive saliva/total exposed mosquitoes).
In the CI experiment, we found differences in viral prevalence for ZIKV but not MAYV. Specifically, IRs for ZIKV were significantly lower in the coinfected group (CI) compared to the single-infected group (Z) at both 7 and 14 days postinfection (dpi) (100% versus 73%, P = 0.0107, and 96% versus 63%, P = 0.0064, respectively; Table 1), as was the DIR at 7 dpi (72% versus 28%, P = 0.0019; Table 1). In contrast, we did not find any statistically significant differences in MAYV IR or DIR between groups at either time point (Table 1).
TABLE 1
TABLE 1 Infection rate (IR), dissemination rate (DIR), and transmission efficiency (TE) for MAYV and ZIKV in CI and SI experimentsa
TreatmentGroupsIR and P valueDIR and P valueTE and P value
Coinfection
 MAYV positivity  
  7 dpiM vs CI14/23 (60%) vs 9/19 (47%); ns13/14 (92%) vs 7/9 (78%); ns1/23 (4%) vs 0/19; ns
  14 dpiM vs CI17/23 (73%) vs 12/19 (63%); ns17/17 (100%) vs 11/12 (92%); ns1/22 (4%) vs 2/19; ns
 ZIKV positivity  
  7 dpiZ vs CI25/25 (100%) vs 14/19 (73%); P = 0.010718/25 (72%) vs 4/14 (28%); P = 0.00190/25 vs 0/19; ns
  14 dpiZ vs CI25/26 (96%) vs 12/19 (63%); P = 0.006424/25 (96%) vs 11/12 (92%); ns8/26 (31%) vs 3/19 (16%); ns
Superinfection
 MAYV positivity  
  7 dpiMU vs MZ12/12 (100%) vs 4/5 (80%); ns12/12 (100%) vs 3/4 (75%); ns3/12 (25%) vs 0/5; ns
  14 dpiMU vs MZ12/12 (100%) vs 7/8 (87%); ns10/12 (83%) vs 6/7 (85%); ns1/12 (8%) vs 1/8 (12%); ns
  7 dpiUM vs ZM9/14 (64%) vs 20/21 (95%); P = 0.02788/9 (88%) vs 18/20 (90%); ns2/14 (14%) vs 0/21; ns
  14 dpiUM vs ZM13/14 (93%) vs 18/22 (81%); ns13/13 (100%) vs 17/18 (94%); ns0/12 vs 1/22 (4%); ns
 ZIKV positivity  
  7 dpiZU vs ZM14/14 (100%) vs 21/21 (100%); ns14/14 (100%) vs 21/21 (100%); ns9/14 (64%) vs 10/21 (48%); ns
  14 dpiZU vs ZM11/11 (100%) vs 23/23 (100%); ns10/11 (90%) vs 20/23 (87%); ns7/11 (63%) vs 8/23 (35%); ns
  7 dpiUZ vs MZ20/20 (100%) vs 5/0 (100%); ns17/20 (85%) vs 4/5 (75%); ns0/20 vs 0/5; ns
  14 dpiUZ vs MZ17/17 (100%) vs 8/8 (100%); ns17/17 (100%) vs 8/8 (100%); ns9/17 (53%) vs 5/8 (62%); ns
a
In the coinfection (CI) experiment, we compared single infected groups (MAYV [M] or ZIKV [Z]) to the coinfection group (MAYV + ZIKV [CI]). In the superinfection experiments, superinfected groups (MZ and ZM) have been compared to control groups fed with different combinations of pathogen (M or Z) and uninfected blood (U): UM, MU, UZ, and ZU, where letter order indicates feeding order. ns, not significant; M, Mayaro virus; Z, Zika virus; U, uninfected blood. In superinfection experiments, two-letter codes represent two sequential feedings, e.g., MZ = Mayaro virus in the first bloodmeal and Zika virus in the second.
For both viruses, there were effects of coinfection at the level of titer. Zika virus titers in the body and legs of coinfected mosquitoes were reduced compared with those of single infected mosquitoes at 7 dpi (body P < 0.0001; legs P = 0.0019) and 14 dpi (body P = 0.0002; legs P = 0.0041; Fig. 3B and C). Similarly, compared to single infection, MAYV titers were lower in body samples of coinfected mosquitoes at 14 dpi (P = 0.0130) but not 7 dpi (P > 0.05; Fig. 3B). We did not find any statistically significant differences in the TEs or respective saliva viral titers of MAYV or ZIKV between single and coinfected groups.
FIG 3
FIG 3 Infectious Mayaro and Zika viral loads in Ae. aegypti following oral challenge. (A) Schematic timeline for a superinfection experiment. Adult female mosquitoes were sequentially infected with two arboviruses (or uninfected control), and virus titers quantified in three tissues at 7 and 14 days post second infection. Single and coinfection designs are not pictured. (B to J) Virus titers are plotted by tissue, treatment group, and time point for (B to D) both viruses in coinfection experiments, (E to G) MAYV titer in superinfection experiments, and (H to J) ZIKV titer in superinfection experiments. In all panels, circles depict MAYV titer of individual samples, squares show ZIKV titer of individual samples, and dotted lines depict group medians. CI, coinfection with MAYV and ZIKV; M, Mayaro virus; Z, Zika virus; U, uninfected blood. Letter order indicates order of infection for superinfection experiments (i.e., MZ indicates initial infection was with MAYV). Two-tailed Mann-Whitney U tests were used to evaluate significance between groups. Count data (i.e., ns for each group) are reported in Table 1. ns, not significant; dpi, days postinfection; FFU, focus forming unit.
To assess effects of superinfection, mosquitoes were fed two different blood meals that were either uninfected (U), spiked with ZIKV (Z), or spiked with MAYV (M), totaling 3 × 2 total treatment groups (UM, UZ, ZU, ZM, MU, and MZ). We tested for effects of prior infection (e.g., for effects of ZIKV on MAYV by comparing ZM to UM control; Fig. 3E) and subsequent infection (e.g., for effects of ZIKV on MAYV by comparing MZ to MU control; Fig. 3E), while also controlling for other variables such as the bloodmeal itself. Thus, we made two statistical comparisons (n = 2 orders of superinfection) per tissue (n = 3: bodies, legs, saliva) × time point (n = 2: 7 and 14 dpi), totaling 12 comparisons per virus (Fig. 3E to J).
Across all the superinfection combinations tested, we observed just one significant difference in viral prevalence (i.e., IR, DIR, or TE): an increase in the MAYV IR at 7 dpi following prior infection with ZIKV (i.e., ZM versus UM, 95% versus 64%, P = 0.0278; Table 1). However, this enhancement of MAYV IR did not lead to higher MAYV titers in the body (Fig. 3E) or to an elevated DIR (Table 1). Conversely, we found that subsequent ZIKV infection can influence MAYV titer. Specifically, MAYV body and leg titers were reduced in the MZ group compared to the MU group at 7 dpi (body P = 0.0448, legs P = 0.0445; Fig. 3E left). The same comparison showed an opposite pattern at 14 dpi for the body, when a subsequent ZIKV infection intensified the prior MAYV infection (MZ versus MU, P = 0.0037; Fig. 3E, right).
Likewise, a subsequent MAYV infection slightly intensified prior ZIKV infections in a time-dependent manner. ZIKV titers in body and legs were greater at 7 but not 14 dpi following a subsequent MAYV infection (ZM versus ZU, P = 0.0022 and P = 0.0002 for body and leg samples, respectively; Fig. 3H and I). Salivary ZIKV titers were not statistically different in either comparison at 7 dpi but showed a reduction in viral titer in the saliva of the ZM group compared to the ZU group at 14 dpi (P = 0.0221; Fig. 3J).

ZIKV and MAYV double infections in individual Ae. aegypti mosquitoes.

We also determined the percentage of double positive mosquitoes among the CI and SI groups by assaying the viral titer of both pathogens in different tissues. When challenged with ZIKV and MAYV simultaneously (CI), 37% (7/19) of mosquitoes became double positive at both 7 and 14 dpi (Table 2). Additionally, 32% of mosquitoes had double disseminated infections at 14 dpi (6/19), though none were detected at the earlier time point. Transmission of both pathogens by a single mosquito was not observed at either time point in the CI group (Table 2).
TABLE 2
TABLE 2 Infection rate (IR), dissemination rate (DIR), and transmission efficiency (TE) for double positive mosquitoes in coinfection and superinfection experimentsa
TreatmentGroupsIR double positiveDIR double positiveTE double positive
Coinfection
 7 dpiCI7/19 (37%)0/190/19
 14 dpiCI7/19 (37%)6/19 (32%)0/19
Superinfection    
 7 dpiMZ4/5 (80%)3/5 (60%)0/5
 14 dpiMZ7/8 (86%)6/8 (75%)1/8 (12%)
 7 dpiZM20/21 (95%)18/21 (86%)0/21
 14 dpiZM18/22 (82%)16/22 (73%)1/22 (4.5%)
a
Significance was evaluated using Fisher’s exact tests. Abbreviations are as in Table 1. DIR was calculated as number of mosquitoes with double positive legs/total number of exposed mosquitoes. In the superinfection experiment, two-letter codes represent feeding order.
In the SI experiment, we observed higher IR of double-positive mosquitoes compared to the CI experiment (Table 2). In addition, double-disseminated infection was recorded starting from 7 dpi, sooner than in the CI experiment. Saliva samples were double positive only at 14 dpi. In the ZM group, 1/22 (4.5%) saliva samples tested positive for both viruses, whereas in the MZ group it was 1/8 (12.5%). Comparisons between IR, DIR, and TE of MZ and ZM groups did not show any statistically significant differences (data not shown). There were also no differences between MAYV and ZIKV titers in either CI or SI experiments (data not shown).

Mayaro virus interferes with ZIKV replication during coinfection and superinfection in vertebrate but not mosquito cells.

To test whether CI or SI affect viral growth, we performed growth-curve analyses for MAYV and ZIKV in vitro using cell lines Aag2 (derived from Ae. aegypti; mosquito vector), Vero (derived from African green monkey; nonhuman primate), and Huh7.5 cells (derived from human; human host). We again tested single, co-, and superinfection, all with a multiplicity of infection (MOI) of 0.1. In the SI experiment, cells were incubated with the inoculum of the first virus for either 2 h or 12 h, after which it was removed and replaced with either noninfectious media (single infection controls) or an inoculum of the second virus (SI groups; Fig. 4A).
FIG 4
FIG 4 Mayaro and Zika virus in vitro growth curves in vertebrate and invertebrate cells. (A) Schematic timeline for a superinfection experiment. Cell monolayers (Vero [nonhuman primate], Huh7.5 [human], or Aag2 [mosquito Aedes aegypti]) were sequentially infected with two arboviruses (or uninfected control), with either a 2- or 12-h interval between infections. Viral titers in cell supernatant were then measured at several time points to assay viral growth curves. Single and coinfection designs are not pictured. All experiments included three technical replicates. (B to D) Viral titers in cell supernatants are plotted as a function of time for each virus and cell type. Lines depict group means while brackets show ± SEM. For superinfections (MZ and ZM), inoculation with each virus was separated by a 12-h interval (solid lines) or 2-h interval (broken lines). All growth curves are normalized to 0 h postinfection (hpi) with regard to infection with the focal virus. Viral titers were analyzed using GraphPad Prism 9.
In single-infected Aag2 cells, the titers of MAYV and ZIKV continued to increase after 72 h postinfection, reaching 6.56E + 05 FFU/mL and 1.31E + 05 FFU/mL, respectively. In singly infected vertebrate cells, MAYV titers peaked before decreasing slightly, with peak titer at 18 h postinfection in Vero (1.97E + 07 FFU/mL) and 36 h postinfection in Huh7.5 cells (4.90E + 07 FFU/mL). ZIKV titers were highest at 60 h postinfection in both Vero (7.23E + 07 FFU/mL) and Huh7.5 (2.20E + 07 FFU/mL) cells (Fig. 4).
Coinfection and SI both had significant effects on the replication and release of infectious virus particles in vertebrate but not mosquito cells, with ZIKV showing a strong inhibition. Following CI or initial 12 h infection with MAYV in the SI experiment (MZ), ZIKV did not replicate effectively in Vero or Huh7.5 cells, indicating a significant outcompetition or inhibition of ZIKV by MAYV (Fig. 4B and C). To further investigate this phenomenon, we modified the SI experiment in vertebrate cells by adding the second virus 2 h after the first, rather than after 12 h. With this shortened timeline of superinfection, vertebrate cells could support low levels of ZIKV replication and production (Fig. 4B and C).

MAYV and ZIKV can simultaneously infect and replicate in the same cell.

To determine the capacity of MAYV and ZIKV to infect and replicate in the same cell simultaneously, we immunolocalized both viruses in Aag2 and Vero cells (Fig. 5A and B, respectively) using immunofluorescence microscopy. For vertebrate cells, MAYV, like other alphaviruses, was predominantly localized to the cell membrane and filopodia extensions (Fig. 5B, first row; Fig. S1 in the supplemental material). Due to massive and rapid cytopathic effect caused by MAYV (Fig. S2), most infected vertebrate cells showed the formation of membrane protrusions. Similar cellular structures and virus distribution were identified previously in CHIKV-infected cells (13). ZIKV was primarily localized on the perinucleus and endoplasmic reticulum regions (Fig. 5B, second row), the proposed replication and assembly sites for flaviviruses (34). Even though they are found in different cellular compartments, both viruses were able to coinfect the same cell. A similar pattern of distribution of MAYV and ZIKV was observed in Aag2 cells, indicating that both viruses can coinfect the same cell in invertebrate hosts as well.
FIG 5
FIG 5 Mayaro and Zika viruses can infect and replicate within the same cell. (A) Aag2 and (B) Vero cells were mock, single, or coinfected and viral growth localized by immunofluorescence. Briefly, at 24 h postinfection (hpi) (Vero) or 48 hpi (Aag2) cells were fixed, permeabilized, and labeled with antibodies for MAYV, ZIKV, and Hoechst33342 (details in Materials and Methods). Single channels are showed in greyscale. Composite images show MAYV in green (Alexa Fluor 488), ZIKV in magenta (Alexa Fluor 594), and cell nuclei in blue (Hoechst 33342). Images show some bleed-through. Scale bar = 50 μm. See Fig. S1 for images of coinfection at higher magnification.

DISCUSSION

Here, we examine MAYV and ZIKV interactions in a mosquito vector as well as in vitro in mosquito, primate, and human cells. We find that adult mosquitoes and all tested cell lines can become infected with MAYV and ZIKV simultaneously. Moreover, the circumstances of infection—i.e., whether the two pathogens grew as single infections, coinfections, or superinfections—had significant effects on viral growth in multiple contexts.
Following in vivo coinfection with MAYV, we consistently found reduced ZIKV infection rates. This finding is similar to previous work, where Rückert et al. (12) demonstrated a reduction in ZIKV IR when coinfecting with CHIKV, an Alphavirus belonging to the same antigenic complex as MAYV (Semliki Forest virus complex). Similarly, Muturi et al. (31) demonstrated that replication of DENV-4 was suppressed by Sindbis virus (Togaviridae, Alphavirus) in coinfected Ae. albopictus. In contrast to ZIKV, we did not observe any variation in the IR of MAYV during coinfection with ZIKV. Our data for MAYV are consistent with previous studies of Flavivirus/Alphavirus coinfection, which showed the IR and DIR of CHIKV were not influenced by the presence of ZIKV or DENV-2 (12, 35). Taken together, these data suggest that in coinfected mosquitoes, the IR of flaviviruses are negatively affected by the presence of an Alphavirus. However, this effect is not reciprocal, as the success of an alphavirus was not determined by the presence of a flavivirus in our study. We did not find any statistically significant differences in the TEs or respective saliva viral titers of MAYV or ZIKV between single and coinfected groups. Consistent with previous studies of Chikungunya/ZIKV coinfection (12, 13), our data suggest that the simultaneous intake of both viruses may negatively impact their capacity to infect the midgut and subsequently disseminate through the mosquito body, but the capacity for salivary transmission remains unaffected.
We show that Ae. aegypti can become infected and transmit both pathogens following sequential exposure (i.e., superinfection), regardless of the infection order. In general, our data suggest that vectors are more permissive to double infection from sequential exposure, rather than from simultaneous exposure. Although we analyzed a relatively small number of animals, our data nevertheless demonstrate the capacity of the vector to cotransmit both pathogens in its saliva. Transmission of both pathogens was slow, occurring only 14 days after the second infection event. This implies that, based on our SI model, the vector may need to survive for approximately 26 to 28 days in natural conditions to cotransmit MAYV and ZIKV. Field observation and laboratory experiments indicate Ae. aegypti can survive even longer (36 to 38), but because its daily survival rate decreases sharply over time, the probability of double transmission may also drop precipitously (39). Additional experiments—e.g., to assess the mosquito’s extrinsic incubation period or time points between 7 and 14 days after the second infection (i.e., 9 and 12 dpi)—are needed to understand the minimum time required for cotransmission.
Interestingly, we observed an increase of MAYV IR in previously ZIKV-infected mosquitoes (ZM group). This result indicates a positive effect of a previous ZIKV infection on MAYV’s ability to stably infect the midgut. The underlying molecular mechanism remains unclear. However, one possibility is that the previous ZIKV infection could have altered the mosquito immune response and thereby created a more suitable environment for MAYV replication, similar to what has been hypothesized for CHIKV-ZIKV superinfection (14). Previous studies demonstrated that a subsequent meal with uninfected blood can increase the DIR in infected mosquitoes and potentially enhance their TE (40 to 42). This effect may potentially arise from physical expansion of the midgut following a bloodmeal, which enlarges pores in the basal lamina and allows viral particles to pass through (40, 43). To investigate whether an increase in DIR in our experiment could be influenced by the bloodmeal itself and not by the pathogen, we included control groups fed with uninfected bloodmeals before (U-) or after (-U) viral challenges (UM, UZ, MU, and ZU). Our results did not show an effect of uninfected bloodmeals on DIR, even though our assay used a longer interval between the two bloodmeals (7 days) than the previous study reporting an effect (3 days) (42). This temporal gap was likely sufficient for the basal lamina to revert to normal conformation, which may limit the window during which a second bloodmeal can affect the DIR. Further experiments, including different temporal gaps between bloodmeals and a more in-depth structural analysis of the basal lamina, are needed to investigate this hypothesis.
Our experimental model assumes that the vector becomes coinfected or superinfected with a similar titer of both viruses, a scenario that may not reflect actual field conditions, where the possible combinations of viruses and their respective titers may be incredibly variable. Relevant studies have found variable effects when infection parameters were altered. Muturi et al. (31) showed that varying the virus titer ratio between DENV-4 and SINV affected the replication of one or both viruses in an in vitro SI study. Those data suggest that the relative amounts of different pathogens could influence the outcome of CI or SI experiments—a parameter we did not test. Additional studies would be needed to evaluate the impact of different titer combinations in CI and SI double-infection routes.
The cellular and molecular basis of MAYV and ZIKV coinfection and superinfection dynamics remains unclear. Our in vitro observations demonstrate that dual infection by these viruses within individual cells of both invertebrates and vertebrates is possible. However, we noticed several cases of viral interference. Specifically, we observed inhibition of ZIKV replication in mammalian cells during CI and MZ superinfection. At the same time, partial inhibition was recorded in ZM superinfection. Interestingly, when the SI experiment in mammalian cells featured a 2-h incubation period between sequential infections (instead of 12 h), ZIKV was able to replicate in MAYV-infected cells, though it could not do so following 12 h of incubation, highlighting that the effect is time dependent. Interference of arbovirus replication by another arbovirus is influenced by several principal parameters: advantage time of the first virus, order of exposure of the viral pathogens, and difference in MOI (44). Different hypotheses have been proposed to explain viral interference mechanisms, including competition for replication sites and cellular substrate resources (44), transacting proteases induced by the first virus, and superinfection exclusion (45, 46). The latter occurs when a cell infected by a virus becomes refractory to subsequent infection by the same or a closely related virus (referred to as a homologous virus) (45). Superinfection exclusion can occur at different steps of the replication cycle, as demonstrated by several studies using Semliki Forest virus (Togaviridae, Alphavirus) and CHIKV, including binding and internalization, viral genome transcription, and protein translation (47 to 50). In a recent study, Boussier et al. (50) showed that CHIKV excludes influenza A virus (Orthomyxoviridae, Alphainfluenzavirus) replication in vitro, and demonstrated the capacity of alphaviruses to interfere with the replication cycle of different viral families. Several in vivo studies also suggest that sequential infection of Alphavirus and Flavivirus results in coinfection, not in exclusion (13, 51, 52), although none of them have examined MAYV in conjunction with a flavivirus.
We observed coinfected cells using immunofluorescence microscopy, demonstrating that a single cell can be simultaneously infected with both viruses (Fig. 5A and B, third row). We observed a cytopathic effect in mammalian cells caused by MAYV after the first 24 to 36 h postinfection (Fig. S2), similar to other alphaviruses (13, 45, 53). The loss of structural functionality and the partial destruction of cells may partially prevent infection by ZIKV and/or its subsequent replication, especially when the interval between infections is longer (e.g., SI with a 12-h initial incubation time). The replication cycle of alphaviruses is relatively short, and progeny virions can be detected 4 to 6 h postinfection (54 to 56). Conversely, 8 to 12 h are generally needed to detect progeny virions of flaviviruses (57). This disparity in viral kinetics could have influenced the capacity of ZIKV to replicate in the presence of MAYV, which rapidly induces a severe structural and morphological change to the infected cells. Superinfection with a shorter incubation time (2 h) likely limited the impact of MAYV-induced cell damage, which may underlie the smaller effect of MAYV upon ZIKV in the 2-h experiments. However, across all tested experimental conditions, we found MAYV inhibits ZIKV replication to some degree, suggesting viral interference at a certain replication stage. We can therefore speculate that, when introduced in vertebrate cells before or together with ZIKV, MAYV takes over the cellular transcription and/or translational machinery, leaving minimal resources for ZIKV replication. Additional studies are required to understand the molecular dynamics of CI and SI with MAYV and ZIKV in both invertebrate and vertebrate models.
Coinfection and superinfection are poorly studied in mosquito vectors. Despite evidence of circulation of multiple pathogens in the same geographical areas, no data are currently available about prevalence of coinfected vectors in the field. The implementation of precise sampling strategies for field-collected mosquitoes would be fundamental to investigate the prevalence of multi-infected vectors, to understand the importance of CI and SI in virus transmission cycles and on mosquito fitness (if any), as well as an in-depth description of the interactions of pathogens at the cellular and molecular level. Future work could also examine the effects of CI and SI on other vector-borne pathogens, such as Plasmodium or microfilariae nematodes.

MATERIALS AND METHODS

Mosquitoes.

Aedes aegypti (Rockefeller strain) were obtained from Johns Hopkins University and reared and maintained at the Millennium Sciences Complex insectary (The Pennsylvania State University, University Park, PA, USA) under the following environmental conditions: 27°C ± 1°C, 12:12 h light:dark diurnal cycle at 80% relative humidity. The larvae were fed with ground fish flakes (TetraMin, Melle, Germany). Adult mosquitoes had free access to 10% sucrose solution.

Cells.

Vero African green monkey kidney cells (CCL-81; ATCC, Manassas, VA, USA) and Huh7.5 (human liver cell line) (kind gift from Craig Cameron, University of North Carolina) were cultured in Dulbecco’s modified Eagle’s medium (DMEM; Life Technologies) containing 10% fetal bovine serum (FBS), penicillin (100 U/mL), streptomycin (100 μg/mL), 10 mM HEPES, and 200 mM glutamine. Aag2 Ae. aegypti cells (kind gift from Elizabeth McGraw, The Pennsylvania State University) were grown in Schneider’s insect medium supplemented with 10% FBS, penicillin (100U/mL), streptomycin (100 μg/mL), and 200 mM glutamine.

Virus.

Zika virus strain MR766 (NR-50065; BEI Resources, Manassas, VA, USA) and Mayaro virus strain BeAr505411 (NR-49910; BEI Resources, Manassas, VA, USA) were propagated on Vero cells. Stock solutions were aliquoted and stored at −70°C until used. Viral stock titers were determined by focus forming assay (FFA).

In vitro single, co-, and superinfection.

Cells were seeded at 80 to 90% confluence in 24-well plates and infected with ZIKV and/or MAYV with an MOI of 0.1 in FBS-free media the day after seeding. Cells were incubated independently with either ZIKV or MAYV for single infections, with both viruses at the same time for coinfection, or sequentially (repeated with two different incubations: 2 h or 12 h apart) for superinfection. After 1 h of incubation at 37°C, the viral inoculum was removed, cells washed twice to remove unbound virus, and fresh medium added. At each time point, 200 μL of virus-containing supernatant was collected and stored at −80°C. Upon sampling, 200 μL of fresh media were added to each well to maintain the same initial volume. Samples were analyzed by focus forming assay as previously described (15). Briefly, 30 μL of 10-fold serial dilutions of each sample were used to infect Vero cell monolayers in 96-well plates. After 24 h (for MAYV) or 36 h (for ZIKV), cells were fixed, permeabilized, and labeled overnight at 4°C using the monoclonal anti-CHIKV E2 envelope glycoprotein clone CHK-48 (which cross-reacts with MAYV [58]) (BEI Resources, Manassas, VA, USA) or the monoclonal anti-Flavivirus group antigen (Clone D1-4G2-4-15) (BEI Resources, Manassas, VA, USA). CI and SI samples were analyzed twice to assess each virus separately using its corresponding primary antibody. We used Alexa-488 goat anti-mouse IgG secondary antibody (Invitrogen, Life Science, Eugene OR, USA), and resultant green fluorescent foci were viewed and counted using an Olympus BX41 microscope equipped with an UPlanFI 4× objective and a FITC filter. Three technical replicates were performed for each condition.

Vector competence assays.

Unfed 5- to 7-day-old female mosquitoes were separated into groups of approximately 80 individuals and fed with virus-spiked (final titer of 1 × 107 FFU/mL for each virus) infected human blood via a glass feeder jacketed with 37°C distilled water for 30 to 45 min. In the CI experiment, blood contained both MAYV and ZIKV. In the single and SI experiments, blood contained a single virus (M or Z) (day 0). A control group fed with uninfected blood (U) was included as the negative control. After feeding, mosquitoes were anesthetized briefly at 4°C, and engorged females were selected and transferred to a clean cardboard cup with access to 10% sugar solution ad libitum. In the SI experiment, two sequential feeding events were scheduled. During the first feed (day −6), three groups were exposed to uninfected blood, two groups to ZIKV (Z), and two groups to MAYV (M). During the second feed (day 0), all groups were provided access to a second blood meal, resulting in seven total treatment combinations: UM, UZ, MU, ZU, MZ, ZM, and UU. As before, fully engorged females were anesthetized, selected, and housed as previously described.
At 7 and 14 days postinfection (dpi), living mosquitoes were anesthetized with triethylamine (Sigma, St. Louis, MO) for approximately 30 s. Legs were dissected from the body, then mosquitoes were forced to salivate into a glass capillary tube filled with a 1:1 solution of 50% sucrose solution and FBS for 30 min. Bodies and legs were collected in separate 2-mL tubes each containing 1 mL of mosquito diluent (20% FBS in Dulbecco’s phosphate-buffered saline, 50 μg/mL penicillin/streptomycin, 50 μg/mL gentamicin, and 2.5 μg/mL fungizone) with a single sterile zinc-plated steel 4.5 mm bead (Daisy, Rogers, AR, USA). Tissues were homogenized at 30 Hz for 2 min using TissueLyser II (Qiagen GmbH, Hilden, Germany) then centrifuged for 30 s at 11,000 rpm. Saliva samples were collected in a 2-mL tube containing 0.1 mL of mosquito diluent. All samples were stored at −70°C until used. Samples were analyzed by focus forming assay as described above.
All experimental infections were performed at the Eva J. Pell ABSL-3 Laboratory for Advanced Biological Research (Pennsylvania State University).
Infection rates (IR) (mosquitoes with virus-positive bodies/total exposed mosquitoes), dissemination rates (DIR) (positive legs/positives bodies), and transmission efficiency (TE) (positive saliva/total exposed mosquitoes) were calculated for all the tested groups. In the coinfection experiment, we compared M versus CI and Z versus CI. In the superinfection experiment, we compared MU versus MZ, ZU versus ZM, UM versus ZM, and UZ versus MZ.
Viral titers in body, legs, and saliva samples were calculated in units of FFU/mL, and comparisons were made between the same groups as above.

Immunolocalization of MAYV and ZIKV on Vero and Aag2 cells.

Cells were seeded at a density of 1 × 105 cells/well (Vero cells) or 1 × 106 cells/well (Aag2 cells) in a 4-well chamber slide and grown at 37°C with 5% CO2 (Vero cells) or 27°C without CO2 (Aag2). After 24 h, cell monolayers were infected with ZIKV, MAYV, or both at an MOI of 1 as described above. After 24 (Vero) or 48 (Aag2) h, cells were fixed with 4% paraformaldehyde (PFA) and permeabilized using 0.02% Tween 20. Cells were then labeled with the mouse monoclonal anti-CHIKV E2 envelope glycoprotein clone CHK-48 (BEI Resources, Manassas, VA, USA) and the rabbit monoclonal anti-Flavivirus group antigen (4G2, MAB12411) (The Native Antigen Company, Kildington, UK). The antibodies used for immunofluorescence included Alexa Fluor 488 conjugated goat anti-mouse IgG (Invitrogen, Life Science, Eugene OR, USA) and Alexa Fluor 594 conjugated donkey anti-rabbit IgG (Invitrogen, Life Science, Eugene OR, USA). Hoechst 33342 Fluorescent Stain (Thermo Scientific) was used for nuclear staining. Upon staining, slides were preserved using ProLong Diamond Antifade mountant (Thermo Fisher Scientific, Waltham MA, USA). Cells were examined and imaged using an Echo Revolve 2 (Discover Echo, Inc., San Diego CA, USA) with images processed using ImageJ software (59). For the composite images, Composite Max mode was used.

Statistical analysis.

GraphPad Prism software version 9 was used for all analyses. Differences in IR, DIR, and TE (i.e., count data) were analyzed by Fisher’s exact test. Two-tailed Mann-Whitney U tests were used to compare viral titers in body, legs, and saliva samples of different groups. A P value of <0.05 was considered statistically significant.

ACKNOWLEDGMENTS

We thank the personnel of Eva J. Pell ABSL-3 Laboratory for Advanced Biological Research for their help and technical support, Craig Cameron (University of North Carolina) and Elizabeth McGraw (Pennsylvania State University) for cell lines, and Sage McKeand (Pennsylvania State University) for Fig. 2 design. The following reagents were obtained through BEI Resources, NIAID, NIH, as part of the WRCEVA program: Mayaro Virus, BeAr505411, NR-49910; Zika virus, MR766, NR-50065, Monoclonal Anti-Chikungunya Virus E2 Envelope Glycoprotein, Clone CHK-48 (produced in vitro), NR-44002, monoclonal anti-Flavivirus group antigen, Clone D1-4G2-4-15, NR-50327.
This research was funded by NIH grants R21AI128918, R01AI116636, and R01AI150251, USDA Hatch funds (accession number 1010032; project number PEN04608), and funds from the Dorothy Foehr Huck and J. Lloyd Huck endowment to J.L.R. C.A.H. was supported in part by an NSF Graduate Research Fellowship Program award (ID 2018258101). D.K. was supported in part by a National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT; 2019R1G1A1100559).

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cover image Journal of Virology
Journal of Virology
Volume 97Number 131 January 2023
eLocator: e01778-22
Editor: Rebecca Ellis Dutch, University of Kentucky College of Medicine
PubMed: 36598200

History

Received: 17 November 2022
Accepted: 19 November 2022
Published online: 4 January 2023

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Keywords

  1. coinfection
  2. Mayaro virus
  3. mosquito
  4. Zika virus
  5. alphavirus
  6. flavivirus
  7. vector-borne diseases

Contributors

Authors

Marco Brustolin
Department of Entomology, the Center for Infectious Disease Dynamics, and the Huck Institutes of the Life Sciences, the Pennsylvania State University, University Park, Pennsylvania, USA
Unit of Entomology, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
Sujit Pujhari
Department of Entomology, the Center for Infectious Disease Dynamics, and the Huck Institutes of the Life Sciences, the Pennsylvania State University, University Park, Pennsylvania, USA
Department of Pharmacology Physiology and Neuroscience, University of South Carolina School of Medicine, Columbia, South Carolina, USA
Gerard Terradas
Department of Entomology, the Center for Infectious Disease Dynamics, and the Huck Institutes of the Life Sciences, the Pennsylvania State University, University Park, Pennsylvania, USA
Kristine Werling
Department of Entomology, the Center for Infectious Disease Dynamics, and the Huck Institutes of the Life Sciences, the Pennsylvania State University, University Park, Pennsylvania, USA
Sultan Asad
Department of Entomology, the Center for Infectious Disease Dynamics, and the Huck Institutes of the Life Sciences, the Pennsylvania State University, University Park, Pennsylvania, USA
Hillery C. Metz
Department of Entomology, the Center for Infectious Disease Dynamics, and the Huck Institutes of the Life Sciences, the Pennsylvania State University, University Park, Pennsylvania, USA
Cory A. Henderson
Department of Entomology, the Center for Infectious Disease Dynamics, and the Huck Institutes of the Life Sciences, the Pennsylvania State University, University Park, Pennsylvania, USA
Donghun Kim
Department of Entomology, the Center for Infectious Disease Dynamics, and the Huck Institutes of the Life Sciences, the Pennsylvania State University, University Park, Pennsylvania, USA
Department of Vector Entomology, Kyungpook National University, Daegu, South Korea
Department of Entomology, the Center for Infectious Disease Dynamics, and the Huck Institutes of the Life Sciences, the Pennsylvania State University, University Park, Pennsylvania, USA

Editor

Rebecca Ellis Dutch
Editor
University of Kentucky College of Medicine

Notes

Marco Brustolin and Sujit Pujhari contributed equally to this article. Author order was determined alphabetically.
The authors declare no conflict of interest.

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