Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2020 Aug 10;89(10):2367–2377. doi: 10.1111/1365-2656.13302

Sequential co‐infections drive parasite competition and the outcome of infection

Giacomo Zilio 1,2,, Jacob C Koella 1
Editor: Isabella Cattadori
PMCID: PMC7589385  PMID: 32688437

Abstract

  1. Co‐infections by multiple parasites are common in natural populations. Some of these are likely to be the result of sequential rather than simultaneous infections. The timing of the co‐infections may affect their competitive interactions, thereby influencing the success of the parasites and their impact on the host. This may have important consequence for epidemiological and eco‐evolutionary dynamics.

  2. We examined in two ecological conditions the effect of sequential co‐infection on the outcome of infection by two microsporidians, Vavraia culicis and Edhazardia aedis, that infect the mosquito Aedes aegypti. The two parasites have different transmission strategies: V. culicis is transmitted horizontally either among larvae or from adults to larvae, while E. aedis can be transmitted horizontally among larvae or vertically from females to their eggs.

  3. We investigated how the timing and order of the co‐infection and how the host's food availability affected the parasite's transmission potential (the percentage of individuals that harboured transmissible spores) and the host's juvenile survival, its age at emergence and its longevity.

  4. The outcome of co‐infection was strongly affected by the order at which the parasites arrived. In co‐infections, V. culicis had greater horizontal transmission if it arrived early, whereas the transmission potential of E. aedis, either vertical or horizontal, was not affected by the competitor V. culicis. The availability of food determined the duration of infection leading to variation in mortality and in the transmission potential. For both parasites low food decreased juvenile survival, delayed emergence to adulthood and increased horizontal transmission potential. High food increased juvenile survival and the probability of emergence with higher vertical transmission for E. aedis. Overall, our results suggest that early infection favours transmission and that (a) V. culicis plastically responded to co‐infection, (b) E. aedis was not affected by co‐infection but it was more susceptible to factors extending or decreasing the time it spent in the host (time of infection and food).

  5. Our results emphasize the complexity of the impact of co‐infection on host–parasite interactions. In particular, the timing and order of sequential co‐infections can result in different within‐host dynamics and modify infection outcomes.

Keywords: horizontal transmission, host–parasite interactions, microsporidia, multiple infections, priority effects, timing of infection, vertical transmission, virulence


This empirical study shows the importance of order and time of co‐infection, and that subtle details of how each parasite interacts with its host may have a fundamental role on the outcome of infection (e.g. virulence, transmission), and thus for epidemiology and host–parasite evolution.

graphic file with name JANE-89-2367-g006.jpg

1. INTRODUCTION

Hosts are often infected by several strains or species of parasites (Lagrue, McEwan, Poulin, & Keeney, 2007; López‐Villavicencio et al., 2007; Malpica, Sacristán, Fraile, & García‐Arenal, 2006; Rutrecht & Brown, 2008; Turner & Duffy, 2008). Co‐infections have important consequences for epidemiology and evolution, for they can lead to different outcomes for both the hosts and the parasites than any of the individual parasites (Alizon, 2013; Alizon, de Roode, & Michalakis, 2013; Mideo, 2009; Rodrigues, Duncan, Clemente, Moya‐Laraño, & Magalhães, 2016; Tollenaere, Susi, & Laine, 2016). For instance, co‐infections can increase the mortality rate of the host, so that higher levels of virulence evolve (Levin & Bull, 1994). The within‐host interactions between parasites can regulate their coexistence, with mutually beneficial, antagonistic or neutral impacts on one another (Vasco, Wearing, & Rohani, 2007), leading to higher (Susi, Barrès, Vale, & Laine, 2015) or weaker (Duncan, Agnew, Noel, & Michalakis, 2015) production of transmission stages. Nevertheless, co‐infecting parasites typically have conflicting interests, for they compete for the exploitation of the same host for their growth and transmission (Bell, de Roode, Sim, & Read, 2006; Ben‐Ami, Rigaud, & Ebert, 2011; Wargo, de Roode, Huijben, Drew, & Read, 2007). The mechanisms of this competition include the limitation of the host's resources for the parasite's growth and the host's cross‐immunity.

Two main factors that may influence co‐infection dynamics, and that thus deserve more attention, are the timing of each infection and the order with which parasites infect the host (Ben‐Ami, 2019; Karvonen, Jokela, & Laine, 2019). Indeed, the time at infection, corresponding to parasites infecting a host at different ages, can influence interaction traits, including host susceptibility, virulence and transmission. For example, younger beetles or crustaceans are more susceptible to infection compared to older individuals (Blaser & Schmid‐Hempel, 2005; Izhar & Ben‐Ami, 2015). This, and other effects of time at infection, have been widely observed in many invertebrates and may have important consequence for disease dynamics, epidemiology and evolution (Ben‐Ami, 2019). Similarly, in several plants and animals, the order of infection in sequential co‐infections alters infection pattern and determines the outcomes of the infection (Clay, Dhir, Rudolf, & Duffy, 2019; Hoverman, Hoye, & Johnson, 2013; Laine, 2011; Natsopoulou, McMahon, Doublet, Bryden, & Paxton, 2015; Sandoval‐Aguilar et al., 2015), which can affect ecology by influencing the population density of the host and the intensity of epidemics, and it can affect evolutionary by influencing the parasite's investment in its transmission (Halliday, Umbanhowar, & Mitchell, 2017; Marchetto & Power, 2018; Wuerthner, Hua, & Hoverman, 2017). In most cases, the first parasite has an advantage (Karvonen et al., 2019, but see also Clay, Cortez, Duffy, & Rudolf, 2019) by, for example, depleting the resources of the host and thereby outcompeting a second parasite (Hoverman et al., 2013). In other cases, however, the first parasite may facilitate a second one by compromising the immune response and thereby increase susceptibility of the host (Rolff & Siva‐Jothy, 2003).

An additional factor underlying the competition among co‐infecting parasites is that they might have different modes of transmission, with a different balance between vertical and horizontal transmission (Jones, White, & Boots, 2010). Conflicting transmission modes may lead to different host exploitation and higher virulence (Ben‐Ami et al., 2011). Alternatively, vertically transmitted parasites (transmission from mother to offspring) may protect their host against further infections (Hedges, Brownlie, O'Neill, & Johnson, 2008; Scarborough, Ferrari, & Godfray, 2005) as their transmission is coupled with lifetime reproductive success of the host (Frank, 1996). These within‐host interactions are also likely to be affected by food (Wolinska & King, 2009): direct effect with competition for resources as mentioned, and indirect effect as food also influences immune response (Lee, Simpson, & Wilson, 2008). Finally, food can affect transmission mode. Getting a lot of resources, for example, lets hosts have many offspring and vertical transmission beneficial (Agnew & Koella, 1999; Restif & Kaltz, 2006).

Here using the mosquito Aedes aegypti and two parasites, the microsporidians Vavraia culicis and Edhazardia aedis, we asked how the timing and order of infection and the amount of food available to the larvae affect the outcome of the infection. We chose these parasites for several reasons. First, they have different transmission strategies (Desjardins et al., 2015). Both parasites are transmitted horizontally when infected larvae die and release spores into the water, which are then ingested by other larvae. V. culicis has some additional horizontal transmission from adults to larvae, when its spores are released from adults that die in the water or when they are laying eggs. E. aedis has vertical transmission in addition to its horizontal transmission. Its two transmission routes involve specialized types of spores: binucleate spores infect eggs for vertical transmission, and uninucleate spores are transmitted horizontally. Second, the amount of food available to the larvae greatly affects the infection dynamics of both parasites; better fed larvae develop more rapidly, are more likely to survive to become adults and (for E. aedis) the parasites invest more in vertical and less in horizontal transmission (Zilio, Thiévent, & Koella, 2018). Third, although the immune system is stimulated (Biron et al., 2005), no immune response is known to be effective against the parasites. We can therefore concentrate on resource competition as the main mechanism of the interactions within the host. We had several expectations for the outcome of infection of our host–parasite system.

1.1. Co‐infection

Co‐infections are expected to be more virulent than single infections. Since they are more likely to kill larvae and reduce juvenile survival, there is less opportunity for vertical transmission, so the parasites should invest more in horizontal transmission among larvae. Since co‐infections use more resources than single infections, co‐infected adults emerge with fewer resources and should die earlier (Duncan et al., 2015). These effects are expected to be stronger when food is more limiting.

1.2. Order of co‐infection

Since there is little evidence for an effective immune response of mosquitoes against microsporidians (Biron et al., 2005; Desjardins et al., 2015), we do not expect that the first infection will facilitate the second, but that the first infection has an advantage (Hood, 2003; Hoverman et al., 2013; Karvonen et al., 2019). In order to avoid competition with the second parasite it would invest more in horizontal transmission, and thus have less vertical transmission, than when it infects its host alone. The second (outcompeted) parasite, in contrast would be suppressed, so obtain less horizontal and less vertical transmission than when it infects its host alone. If the first parasite suppresses the second by using up resources before the second infection (Duncan et al., 2015; Rivero, Agnew, Bedhomme, Sidobre, & Michalakis, 2007), we expect that the effect of timing is stronger if the mosquitoes are less well fed.

1.3. Food and timing of single infections

One of the conclusions of the studies mentioned above on single infections is that the duration of infection in larvae determines the survival of larvae and the potential of the parasite for horizontal transmission. Therefore in single infections, low food and early infection, which both slow growth and thus delay emergence, should increase horizontal transmission, while high food and late infection should increase juvenile survival and increase vertical transmission (Bedhomme, Agnew, Sidobre, & Michalakis, 2004; Zilio et al., 2018). However, we had no expectation for the effects of food or timing of infection on the longevity of infected hosts, for they affect, on the one hand, the resources available for the parasite's growth and, on the other hand, the quality of the host and its ability to fight the parasite.

2. MATERIALS AND METHODS

2.1. Mosquitoes

We used the UGAL strain of the mosquito A. aegypti, provided by Patrick Guérin (University of Neuchâtel). Our colony is maintained at 26°C, with 70% humidity and a 12‐hr light and 12‐hr dark regime. In each generation, we keep 1,500 adult mosquitoes and give them constant access to a 10% sucrose solution.

2.2. Microsporidia

Edhazardia aedis and V. culicis are microsporidians, a group of intracellular parasites that are common in insects. Both are natural parasites of A. aegypti and were provided by J. J. Becnel (USDA, Gainesville, USA). Edhazardia aedis is specific to A. aegypti (Becnel & Johnson, 1993), whereas V. culicis can infect several genera of mosquitoes (Andreadis, 2007).

The life cycle of E. aedis involves horizontal and vertical transmission (Andreadis, 2007) with morphologically different types of spores: uninucleate spores for horizontal transmission and binucleate spores for vertical transmission. The binucleate spores can infect the oocytes of a female. Once these vertically infected eggs hatch and the larvae emerge, the parasite continues its development and eventually produces a generation of uninucleate spores. These are released from dead larvae and are horizontally transmitted to other larvae that ingest them. After a period of development in the horizontally infected mosquito, the parasite produces a new generation of binucleate spores. If these are produced within an adult female, the next round of vertical transmission is started. If, however, they are produced before the mosquito emerges, the parasite's development can continue to produce another generation of uninucleate spores that can kill the larva, giving a second round of horizontal transmission and bypassing vertical transmission. Thus, depending on conditions, the parasite can either alternate vertical and horizontal transmission or it can go through subsequent rounds of horizontal transmission. Note that males provide no opportunity of vertical transmission, and that vertical and horizontal transmission from the same host individual is not possible, for horizontal transmission requires the host's death.

Vavraia culicis infects larvae when they ingest the spores. The spores enter the gut cells, from where the infection spreads to the fat body and other tissues (Andreadis, 2007). The microsporidia are transmitted horizontally when the infected larvae, pupae or adults die and release the spores into the water (Becnel, White, & Shapiro, 2005). Spores can also be transmitted from egg‐laying females to larvae, for spores in infected females adhere to their eggs. To distinguish this horizontal transmission from the transmission among larvae and from the vertical transmission of E. aedis, we will call this ‘female‐to‐larva transmission’.

2.3. Experimental design

The experiment was performed in the standard rearing conditions of the colony: 26°C, 70% relative humidity and a 12‐hr light and 12‐hr dark regime. To assess the effects of co‐infection, order of infection and amount of food, we reared mosquito larvae in one of two feeding regimes, exposed them to one of the parasites at 1 of 2 days, and either exposed them or not to the other parasite on the other day. We then measured three life‐history traits—juvenile survival, emergence and longevity—and the parasite's development to evaluate the potential for transmission among larvae and from adults to larvae. Note that since the main questions were about sequential co‐infections and transmission, we did not consider uninfected mosquitoes or simultaneous co‐infections.

We rehydrated eggs of our colony in 100 ml of deionized water and hatched them synchronously at low atmospheric pressure. About 1,200 larvae were haphazardly transferred to and reared individually in 12‐well tissue‐culture plates containing 3 ml of deionized water. Larvae were reared either with high or low food (100% or 50% of the standard diet in our laboratory). Within each food level, larvae were exposed to V. culicis early or late (i.e. 2 or 4 days after hatching), to E. aedis early or late, or to both parasites where either V. culicis was early and E. aedis was late or V. culicis was late and E. aedis was early. Since this gives 12 treatments, each well on the 12‐well plates represented a different treatment. The high food regime was at age 0:0.06 mg of TetraMin™ fish food per larva, age 1: 0.08 mg, age 2: 0.16 mg, age 3: 0.32 mg, age 4: 0.64 mg and age 5 and older: 0.32 mg.

We obtained the spores of V. culicis from infected adults killed 10 days after emergence, and the spores of E. aedis from vertically infected larvae killed 7 days after hatching. For both parasites, we crushed and homogenized 20 mosquitoes in an Eppendorf tube containing 1 ml of deionized water. The concentration of the spores was determined with a haemocytometer and a phase contrast microscope (Zeiss Axio Lab.A1). The solution was then diluted to obtain the concentration we used in the experiment, 104 spores of V. culicis in 100 µl and 400 uninucleate spores of E. aedis in 100 µl. Our earlier studies have shown that these densities of spores assure high infection rates and prevent excessive mortality rates. To ensure that an observed effect of co‐infection was not due to the additional nutrition derived from crushed mosquitoes, we added 100 µl of a solution of crushed uninfected larvae to the wells containing singly infected larvae on the appropriate day.

We transferred the pupae individually to Falcon tubes and provided the emerging adults with a cotton ball soaked with 10% sugar solution, which we changed every 6 days. The survival of all individuals (larvae, pupae and adults) was checked every 24 hr throughout the experiment. Dead individuals were moved to a 2 ml plastic tube and stored at −20°C until further investigation. The experiment was stopped 24 days after hatching and all the individuals alive at that time were moved to a freezer at −20°C. We counted the parasite's spores in each mosquito under a phase contrast microscope (Zeiss Axio Lab.A1) after adding 0.1 ml of deionized water to the tubes, homogenizing the samples using a TissueLyser LT—QIAGEN beads machine, placing 8 µl of the obtained solution on a haemocytometer. The treatments of the samples were unknown while we counted the spores. Note that although we counted the spores, we later analysed only the presence or absence of spores, for since few mosquitoes contained uninucleate spores of E. aedis that any quantitative analysis of the number of spores would have been strongly biased by the mosquitoes without any spores.

2.4. Statistical analyses

All statistical analyses were carried out with R (version 3.6.3, R Core Team, 2020). We used the survival package (Therneau & Grambsch, 2000) for the Cox model. Significance tests were based on type 3 tests, calculated with the car package (Fox & Weisberg, 2019).

2.4.1. Parasite transmission

For V. culicis we considered two routes of horizontal transmission. We defined the potential for transmission among larvae as the percentage of individuals that died as juveniles that harboured spores and defined the potential of female‐to‐larva transmission as the percentage of mosquitoes that survived to become adult females and harboured spores. For E. aedis, we defined the potential for horizontal transmission among larvae as the proportion of individuals that died as juveniles and harboured uninucleate spores. For vertical transmission we analysed the proportion of mosquitoes that emerged as females and harboured binucleate spores. We ran a separate model for each parasite and for each transmission route. We therefore ignored the data with single infections by E. aedis when we analysed the transmission of V. culicis, and we ignored the data with single infections by V. culicis when we analysed the transmission of E. aedis. For each analysis of transmission potential we used a glm with binomial distribution that included the time of infection, whether mosquitoes were co‐infected or not, the amount of food and the two‐way interactions as nominal factors.

2.4.2. Host life history

We wanted to know whether the host's life‐history traits were affected by the parasite in single infections and whether this effect was modified by co‐infections, the order of co‐infections and the food available to the larvae. We therefore combined the data for the two parasites and defined a new variable—‘focal parasite’. For singly infected mosquitoes, the focal parasite was the parasite used for the infection. For co‐infected mosquitoes, we randomly assigned half of the co‐infections to V. culicis and the other half to E. aedis as focal parasite. This procedure enabled us to evaluate the effect of co‐infection on the life‐history relative to the effects of single infections by V. culicis and E. aedis. We analysed juvenile survival with a generalized linear model (glm) with binomial distribution, the age at emergence of females with a Cox proportional hazards regression model, and female longevity with a Cox proportional hazards regression model censoring the mosquitoes killed at 24 days after hatching (when more than half of the mosquitoes had died (59%) and we ended the experiment). Each analysis included the focal parasite, the time of infection by the focal parasite, the presence or absence of a co‐infection, the amount of food and all interactions as nominal factors. Since co‐infected mosquitoes were assigned randomly to each focal parasite, we ensured that our results were not due to a sampling artefact by repeating these steps 100 times. We evaluated the strength of each factor with the proportion of the 100 repeats that the factor was significant (at the 0.05 level) and with the mean p‐value. Note that the plots do not include ‘focal parasite’, but simply show the data of single infections and of co‐infections with V. culicis before E. aedis (Vav First in Figures 3, 4, 5) or E. aedis before V. culicis (Ed First in Figures 3, 4, 5).

FIGURE 3.

FIGURE 3

Juvenile survival represented as the proportion of individuals surviving to adulthood for Vavraia culicis and Edhazardia aedis. The dark bars show mosquitoes infected only with Vavraia, the light bars those infected only with Edhazardia, and the dashed bars the co‐infected mosquitoes. The vertical lines show 95% confidence intervals

FIGURE 4.

FIGURE 4

Age at emergence of female mosquitoes. The graph represents the proportion of females emerging up to (and including) day 9 (the median age at emergence) for Vavraia culicis and Edhazardia aedis. The dark bars show mosquitoes infected only with Vavraia, the light bars those infected only with Edhazardia, and the dashed bars the co‐infected mosquitoes. The vertical lines show the 95% confidence intervals

FIGURE 5.

FIGURE 5

Adult longevity. Proportion of adult females surviving up to day 10 post emergence for Vavraia culicis and Edhazardia aedis. The dark bars show mosquitoes infected only with Vavraia, the light bars those infected only with Edhazardia and the dashed bars the co‐infected mosquitoes. The vertical lines show the 95% confidence intervals

3. RESULTS

3.1. Parasite transmission

3.1.1. Vavraia culicis: Among larvae transmission

Co‐infection increased the potential for transmission of V. culicis among larvae; more of the co‐infected mosquitoes (5.4%, CI 3.53–8.20) died before emergence and harboured spores than of those infected only with V. culicis (1.9%, CI 0.94–3.93; χ 2 = 11.86, df = 1, p < 0.001; Figure 1a). The potential for transmission among larvae was higher after early infection (5.5%, 95% confidence interval 3.58–8.33) than after late infection (1.9%, CI 0.92–3.86; χ 2 = 5.22, df = 1, p = 0.023). This was in particular the case for co‐infected individuals, in which V. culicis had 7% (CI 4.12–11.65) transmission potential if it was the first infection and 3.9% (CI 1.91–7.85) if it was the second (interaction co‐infection × timing: χ 2 = 4.37, df = 1, p = 0.03). The potential of transmission among larvae was higher in mosquitoes reared at low food (6.2%, CI 4.18–9.15) than high food (1.1%, CI 0.43–2.80; χ 2 = 10.23, df = 1, p = 0.001). The amount of food had no significant impact on how co‐infection (χ 2 = 1.82, p = 0.177) or the timing of infection (χ 2 = 0.61, p = 0.436) affected transmission.

FIGURE 1.

FIGURE 1

Among larvae (a) and female‐to‐larva (b) transmission potential of Vavraia culicis. The bars represent the proportion of infected individuals, the vertical lines show the 95% confidence interval. High and Low labels are, respectively, the high and low food regime, Single inf and Co‐inf the single infections and the co‐infections, Early and Late the time of infection

3.1.2. Vavraia culicis: Female‐to‐larva transmission

In contrast, co‐infection by E. aedis decreased the potential transmission of V. culicis from adult females to larva from 13.5% (CI 10.39–17.45) to 10.8% (CI 8.04–14.39; χ 2 = 4.3, df = 1, p = 0.038; Figure 1b). The potential for transmission from adults to larvae was higher if V. culicis infected mosquitoes early (18.2%, CI 14.55–22.48) than if E. aedis infected them late (6.2%, CI 4.19–9.18; χ 2 = 29.9, df = 1, p « 0.001). This was in particular the case for co‐infected individuals (aggregated across food treatment), in which early infection by V. culicis gave 18.5% (CI 13.52–24.89) potential for transmission from females to larvae and 3.8% when it was the later parasite (CI 1.84–7.60), though this interaction between co‐infection and timing was not quite statistically significant (χ 2 = 3.65, df = 1, p = 0.056). The effect of timing with early infection was stronger when larvae had been reared with high food (19.6%, CI 14.48–25.89 vs. 3.9%, CI 1.91–7.85) than when they had been reared with low food (16%, CI 12.0–22.92 vs. 8.4%, CI 5.25–13.24; χ 2 = 4.9, df = 1, 0.027). The other interactions were insignificant (χ 2 < 1.35, df = 1, p > 0.245).

3.1.3. Edhazardia aedis: Among larvae transmission

Co‐infection had no effect on the potential for transmission of E. aedis among larvae (i.e. the proportion of mosquitoes that died before emerging and harboured uninucleate spores), either as a main effect (χ 2 = 0.1, df = 1, p = 0.700) or as interactions with the other factors (χ 2 < 0.1, df = 1, p > 0.833; Figure 2a). In particular, the order of infection had no effect in co‐infected hosts. The potential for transmission among larvae was higher if hosts were infected early (5.2%, CI 3.33–7.92) than if they were infected late (1.4%, CI 0.58–3.14; χ 2 = 13.54, df = 1, p < 0.001), and higher if they were reared with low food (4.3%, CI 2.67–6.89) than with high food (2.2%, CI 1.11–4.26; χ 2 = 7.04, df = 1, p = 0.008; Figure 2a). Increasing larval food decreased horizontal transmission more if infection by E. aedis was late (from 2.7%, CI 1.17–6.24 to 0%, CI 0–2.03) than if it was early (from 5.9%, CI 3.30–10.170 to 4.4%, CI 2.27–8.52; interaction food × timing: χ 2 = 4.8, df = 1, p = 0.028).

FIGURE 2.

FIGURE 2

Among larvae (a) and vertical (b) transmission potential of Edhazardia aedis. The bars represent the proportion of infected individuals, the vertical lines show the 95% confidence interval. High and Low labels are, respectively, the high and low food regime, Single inf and Co‐inf the single infections and the co‐infections, Early and Late represent the time of infection

3.1.4. Edhazardia aedis: Vertical transmission

The only factor that affected the potential of E. aedis for vertical transmission (the proportion that survived to become a female and harboured binucleate spores) was food (χ 2 = 8.3, df = 1, p = 0.004), with low food giving 15.6% (CI 12.29–19.68) and high food giving 24.1% (CI 20.01–28.75) transmission potential (Figure 2b). Neither timing of infection (χ 2 = 1.5, df = 1, p = 0.216), co‐infection (χ 2 = 0.6, df = 1, p = 0.453) nor any interaction (χ 2 < 0.8, df = 1, p > 0.393) was linked to the potential of vertical transmission, although there was a slight tendency for later infected mosquitoes to have lower vertical transmission (Figure 2b).

3.2. Host's life‐history traits

3.2.1. Juvenile survival

Larvae infected only by V. culicis were more likely to survive (92.8%, CI 89.68–95.01) than those infected only by E. aedis (83.9%, CI 79.76–87.29; mean χ 2 = 4.90, df = 1, mean p = 0.027), and the survival of co‐infected mosquitoes was between these two values (88.4% CI 84.71–91.26; co‐infection: mean χ 2 = 0.18, df = 1, mean p = 0.741: focal parasite × co‐infection: mean χ 2 = 4.74, df = 1, mean p = 0.029). Juveniles with access to high food survived better (92.5%, CI 89.93–94.40) than mosquitoes reared with low food (84.3%, CI 81.03–87.09; mean χ 2 = 16.75, df = 1, mean p « 0.001). The effect of timing tended to be stronger when mosquitoes were reared with low food than with high food (Figure 3), but the interactions of food and timing (mean χ 2 = 3.46, df = 1, mean p = 0.063) and of food, timing and co‐infection (mean χ 2 = 3.44, mean p = 0.064) were not quite significant. The other factors and interactions had no effect on juvenile survival (mean χ 2 < 1.88, df = 1, mean p > 0.170).

3.2.2. Age at emergence

The age at emergence of females depended on the combination of the focal parasite, the timing of infection and whether hosts were infected by one or two parasites (three‐way interaction: mean χ 2 = 9.87, df = 1, mean p = 0.002; Figure 4; note that for the figure we chose 9 days as a cut‐off only to represent long development graphically; the statistics analyses were done with a survival analysis.). If females were co‐infected, the age at their emergence depended on the order of the infections. If Vavraia‐infection was first, they emerged later (57.3% emerged before day 10, CI 45.51–68.4) than if Vavraia‐infection was second (64.8%, CI 53.5–74.76). If females were infected only with E. aedis, time of infection did not influence age at emergence; of the mosquitoes infected early, 61% (CI 48.26–72.42) emerged before or on the median day of emergence (day 9); of those infected late 66.2% (53.5–74.76) did. If, however, females were infected only with V. culicis, the time of infection had an impact: they emerged at about the same time as Edhazardia‐infected ones if their infection was early (60.5%, CI 48.93–71.10), but emerged later if their infection was late (46.9% CI 35.43–58.84). Food had the largest impact on age at emergence (mean χ 2 = 318.3, df = 1, mean p « 0.001), with 16.4% (CI 11.1–23.6) of low food‐nourished females and 98.1% (CI 94.4–99.4) of the high food‐nourished females emerging before day 10. Food also has a small effect on how the combination of focal parasite and timing of infection affected age at emergence (three‐way interaction: mean χ 2 = 4.43, df = 1, mean p = 0.035; Figure 4), but food had no effect on the impact of co‐infection (all interactions, mean χ 2 < 1.76, df = 1, mean p > 0.184).

3.2.3. Longevity of females

Co‐infected mosquitoes lived less long (62% lived more than 10 days, CI 54.19–69.97) than singly infected mosquitoes (76.1%, CI 65.34–78.00; survival analysis: mean χ 2 = 7.37, df = 1, mean p = 0.007; Figure 5). Note that we chose 10 days as a cut‐off only to represent longevity in the figure; the statistics were done with a survival analysis. Ten days is the age at which the mosquitoes with the latest emergence were censored. The effect of co‐infection was stronger in comparison with those infected only by V. culicis (84.62%, CI 77.43–89.81) than in comparison with those infected by E. aedis (68.6% lived more than 10 days, CI 0.42–75.78; focal parasite: mean χ 2 = 14.58, df = 1, mean p « 0.001, co‐infection × focal parasite: mean χ 2 = 13.19, df = 1, mean p = 0.003). The shorter longevity after infection by E. aedis was mainly apparent if infection was early (54.1% lived more than 10 days, CI 41.72–65.99) than if it was late (80.3%, CI 69.96–87.66), whereas timing of infection had no influence on longevity if mosquitoes were infected by V. culicis (early infection: 82.6%, CI 72.02–89.76; late infection: 86.9%, CI 76.20–93.20; survival analysis: focal parasite × timing: mean χ 2 = 13.17, df = 1, mean p = 0.003) Food had no effect on longevity, either as a main effect or in interactions (survival analysis: mean χ 2 < 1.93, df = 1, mean p > 0.165).

4. DISCUSSION

In this study, we investigated how transmission and virulence of two microsporidian parasites and their effect on the life‐history traits of the host were affected by co‐infection, order and time of infection and the food available to the host. We discuss the main results in function of our three core predictions.

4.1. Co‐infection

As expected, if V. culicis encountered a co‐infecting parasite, it increased its potential for horizontal transmission, in particular at low food conditions. This response to co‐infection may give V. culicis the chance to produce spores and kill its host before its competitor, and thus give it a competitive advantage over E. aedis in the juvenile stage of the host. The shift is consistent with competition among parasites for shared resources (Fellous & Koella, 2009; Mideo, 2009). Alternatively, parasites may be less prudent in co‐infections (Frank, 1996; van Baalen & Sabelis, 1995) and maximize host exploitation, the classical view of the tragedy of the commons (Frank, 1996; Levin & Bull, 1994).

However, contrary to our expectation, E. aedis increased neither its potential for vertical transmission nor its horizontal transmission if its host was co‐infected with V. culicis. There are several possible reasons for the lack of a response to co‐infection, one of which could be the specificity of the parasite. First, the development of E. aedis relies on several specific pathways of protein modification and trafficking (Desjardins et al., 2015), and the parasite moves between several tissues as its host develops, until it ends up in the females' ovaries for vertical transmission. V. culicis, in contrast, focuses on replication and basic metabolic functions, and it stays in the initially infected tissue until adulthood (Desjardins et al., 2015). The presence of V. culicis will not interfere much with the molecular machinery and progression of infection of E. aedis. Second, since E. aedis strongly stimulates the immune response (Desjardins et al., 2015), it must have evolved mechanisms to avoid immune responses, including those stimulated by V. culicis, for no effective responses are known. In contrast, since V. culicis relies on a strategy of stealth, stimulating only slightly the immune response (Desjardins et al., 2015), the processes activated by E. aedis are likely to impact V. culicis, so that it must respond by changing its development. Third, E. aedis relies on two spore types for horizontal and vertical transmission, and the parasite's life cycle must alternate between the production of these spore types. This constrains the ability of the parasite to respond to slight changes of the host's mortality induced by a co‐infecting parasite (although it can respond to changes in the host's duration of development [see below]).

4.2. Order of co‐infection

In co‐infected hosts, the order of infection influenced the success of V. culicis, but not that of E. aedis. If V. culicis was the first parasite in co‐infected hosts, it had more transmission among larvae than if it was the second infection. Since co‐infection decreased larval survival, this may be seen as a response to increase transmission among larvae (Hoverman et al., 2013; Natsopoulou et al., 2015). However, although co‐infected mosquitoes survived less long than Vavraia‐infected ones, V. culicis also had more transmission from females to larvae if it infected the host first. The observed response is thus not due to change of the allocation to the two transmission strategies, but may reflect a general increase in allocation to transmission in an attempt to leave the host before it is killed by the co‐infection.

Changes in the outcome of co‐infection due to the order of arrival of different parasite species have also been found in other systems (Clay, Dhir, et al., 2019; Hood, 2003; Hoverman et al., 2013; Marchetto & Power, 2018), with the effects scaling up to affect host and parasite population dynamics and the spread of disease in some cases (Clay, Dhir, et al., 2019; Marchetto & Power, 2018). For example, when infecting first, the trematode parasite Echinostoma trivolvis reduced the infection success of the second arrival trematode Ribeiroia ondatrae (Hoverman et al., 2013). Similarly, the genotypes of the fungus Microbotryum violaceum infecting first had an advantage over the second (Hood, 2003). When the bacterial Pasteuria ramosa and the fungal parasite Metschnikowia bicuspidate infect the host Daphnia dentifera, the effect of co‐infection differed between the parasites (Clay, Dhir, et al., 2019), as it did in our study. Although the production of bacterial spores (used as a proxy for transmission) was not affected by the order of infection, the co‐infecting fungal parasite produced more spores if it infected the host after the bacteria. The same fungal parasite also performed better, if it infected a close related host species, Daphnia galeata, after the co‐infecting protozoan parasite Caullerya mesnili (Lohr, Yin, & Wolinska, 2010). In some co‐infections, the order of infection affects neither parasite, as is the case to two viruses infecting barley (Marchetto & Power, 2018). Such a specificity of results is likely the result of the detailed interactions between the different species, and it emphasizes the need to investigate specific cases and both sequences of co‐infection of the two parasites when considering sequential co‐infection.

In our case, the difference between V. culicis and E. aedis may, again, be due to details of the two parasites' development. It may also reflect differences in the selection pressures, for larvae survived better if they were co‐infected than if they were infected only with E. aedis, and the effect of co‐infection on longevity was less for Edhazardia‐infected than for Vavraia‐infected mosquitoes. Thus, there is little pressure for E. aedis to change its strategy, whether it encountered a co‐infecting parasite early or late.

4.3. Food and timing of single infections

While the effect of food matched our predictions for transmission, with less food giving more horizontal transmission of both parasites, the effect of the timing of infection did not, for early infection did not shift the allocation towards horizontal transmission. While early infection of either parasite increased its horizontal transmission, it had no effect on vertical transmission of E. aedis, and increased vertical transmission of V. culicis.

While the effects of the environment (the amount of food and the timing of infection) partially matched our predictions concerning transmission, the outcomes for adult longevity were unexpected. First, although the amount of food available to larvae generally affects the longevity of uninfected mosquitoes (e.g. Barreaux, Stone, Barreaux, & Koella, 2018), it had no impact on the longevity of the infected mosquitoes of our experiment. A similar difference between infected and uninfected mosquitoes was seen in Bedhomme et al. (2004). Low food, however, decreased juvenile survival and delayed emergence, which increased horizontal transmission potential for both parasites, as seen in other studies (Agnew & Koella, 1999; Zilio et al., 2018). Timing of infection affected longevity only if the mosquitoes were infected by E. aedis, with earlier infection shortening the life span of adults. This reflects that the transmission strategy of E. aedis is tightly linked with the duration of infection and host development (Zilio et al., 2018). A longer period of infection within the juveniles enables the parasite to produce its horizontally transmitted spores (Agnew & Koella, 1999). A shorter period forces the parasite to transmit vertically, so that it has greater interest in its host's longevity (Frank, 1996). Indeed, low virulence has observed in several vertically transmitted parasites (Ferrari, Darby, Daniell, Godfray, & Douglas, 2004; Hedges et al., 2008; Jaenike, Unckless, Cockburn, Boelio, & Perlman, 2010). The timing of infection of V. culicis, in contrast, had no impact on longevity. Thus, investment in transmission affected longevity similarly, whether transmission was among larvae or from females to larvae. This may reflect that V. culicis is not constrained by different spore types for its two transmission routes, so that the impact of its investment in transmissible spores is independent of the life‐stage of its host.

The difference of only 2 days for the parasite to develop, and consequently the infection of a host with a different age, thus had a large impact on shaping infection strategies and virulence evolution in either single or co‐infection, as seen for other parasites (Clerc, Ebert, & Hall, 2015; Gipson & Hall, 2018; Izhar, Routtu, & Ben‐Ami, 2015; Jager & Schorring, 2006). That early infection increases transmission can be expected to lead to an epidemiological feed‐back, for more intense transmission leads to earlier infection.

5. CONCLUSIONS

Our experiment highlights that interactions among parasites within their host, and in particular the order of infections, play an important role in determining the outcome of infections for the parasite and for the host. It also shows that it is difficult to predict the outcome of co‐infections from the outcome of single infections and from simple evolutionary considerations. Rather, the competitive interactions between parasites appear to be influenced by subtle details of how each parasite interacts with its host and by the constraints of its development. Thus, although single infections of V. culicis and E. aedis responded similarly to environment variation, V. culicis was affected more by co‐infection with E. aedis than was E. aedis by co‐infection with V. culicis. It is tempting to speculate that this asymmetry is linked to the complexity of the parasites’ development: V. culicis has one type of spore and develops mainly in the fat body, while E. aedis has two spore types dedicated to horizontal and vertical transmission and develops in several tissues and organs.

More generally, since co‐infections are common, and since we cannot yet understand many of their outcomes for the parasite, for the host and thus for epidemiology, we need more effort to find general patterns and to obtain a better comprehension of host–parasite evolution.

AUTHORS' CONTRIBUTIONS

Both authors contributed substantially to the conception of the ideas, the design of the experiment, the analysis of the data and to the writing of the manuscript. Both gave final approval for publication.

ACKNOWLEDGEMENTS

We thank Oliver Kaltz and Daniel Croll for helpful discussions, the MSc students of ‘Experimental parasitology' for their help in the laboratory and the reviewers for their comments and efforts towards improving this manuscript.

Zilio G, Koella JC. Sequential co-infections drive parasite competition and the outcome of infection. J Anim Ecol. 2020;89:2367–2377. 10.1111/1365-2656.13302

DATA AVAILABILITY STATEMENT

Data are available from the Dryad Digital Repository https://doi.org/10.5061/dryad.3bk3j9kgm (Zilio & Koella, 2020).

REFERENCES

  1. Agnew, P. , & Koella, J. C. (1999). Life history interactions with environmental conditions in a host–parasite relationship and the parasite's mode of transmission. Evolutionary Ecology, 13, 67–91. 10.1023/A:1006586131235 [DOI] [Google Scholar]
  2. Alizon, S. (2013). Parasite co‐transmission and the evolutionary epidemiology of virulence. Evolution, 67, 921–933. 10.1111/j.1558-5646.2012.01827.x [DOI] [PubMed] [Google Scholar]
  3. Alizon, S. , de Roode, J. C. , & Michalakis, Y. (2013). Multiple infections and the evolution of virulence. Ecology Letters, 16, 556–567. 10.1111/ele.12076 [DOI] [PubMed] [Google Scholar]
  4. Andreadis, T. G. (2007). Microsporidian parasites of mosquitoes. Journal of the American Mosquito Control Association, 23, 3–29. 10.2987/8756-971X(2007)23[3:MPOM]2.0.CO;2 [DOI] [PubMed] [Google Scholar]
  5. Barreaux, A. M. G. , Stone, C. M. , Barreaux, P. , & Koella, J. C. (2018). The relationship between size and longevity of the malaria vector Anopheles gambiae (s.s.) depends on the larval environment. Parasit Vectors., 11, 485 10.1186/s13071-018-3058-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Becnel, J. J. , & Johnson, M. A. (1993). Mosquito host range and specificity of Edhazardia aedis (Microspora: Culicosporidae). Journal of the American Mosquito Control Association, 9, 269–274. [PubMed] [Google Scholar]
  7. Becnel, J. J. , White, S. E. , & Shapiro, A. M. (2005). Review of microsporidia‐mosquito relationships: From the simple to the complex. Folia Parasitologica, 52, 41–50. 10.14411/fp.2005.006 [DOI] [PubMed] [Google Scholar]
  8. Bedhomme, S. , Agnew, P. , Sidobre, C. , & Michalakis, Y. (2004). Virulence reaction norms across a food gradient. Proceedings of the Royal Society B: Biological Sciences, 271, 739–744. 10.1098/rspb.2003.2657 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Bell, A. S. , de Roode, J. C. , Sim, D. , & Read, A. F. (2006). Within‐host competition in genetically diverse malaria infections: Parasite virulence and competitive success. Evolution, 60, 1358–1371. 10.1111/j.0014-3820.2006.tb01215.x [DOI] [PubMed] [Google Scholar]
  10. Ben‐Ami, F. (2019). Host age effects in invertebrates: Epidemiological, ecological, and evolutionary implications. Trends in Parasitology, 35, 466–480. 10.1016/j.pt.2019.03.008 [DOI] [PubMed] [Google Scholar]
  11. Ben‐Ami, F. , Rigaud, T. , & Ebert, D. (2011). The expression of virulence during double infections by different parasites with conflicting host exploitation and transmission strategies. Journal of Evolutionary Biology, 24, 1307–1316. 10.1111/j.1420-9101.2011.02264.x [DOI] [PubMed] [Google Scholar]
  12. Biron, D. G. , Agnew, P. , Marché, L. , Renault, L. , Sidobre, C. , & Michalakis, Y. (2005). Proteome of Aedes aegypti larvae in response to infection by the intracellular parasite Vavraia culicis . International Journal for Parasitology, 35, 1385–1397. 10.1016/j.ijpara.2005.05.015 [DOI] [PubMed] [Google Scholar]
  13. Blaser, M. , & Schmid‐Hempel, P. (2005). Determinants of virulence for the parasite Nosema whitei in its host Tribolium castaneum . Journal of Invertebrate Pathology, 89, 251–257. 10.1016/j.jip.2005.04.004 [DOI] [PubMed] [Google Scholar]
  14. Clay, A. P. , Cortez, M. H. , Duffy, M. A. , & Rudolf, V. H. W. (2019). Priority effects within coinfected hosts can drive unexpected population‐scale patterns of parasite prevalence. Oikos, 4, 571–583. 10.1111/oik.05937 [DOI] [Google Scholar]
  15. Clay, A. P. , Dhir, K. , Rudolf, V. H. W. , & Duffy, M. A. (2019). Within‐Host priority effects systematically alter pathogen coexistence. The American Naturalist, 193, 187–199. 10.1086/701126 [DOI] [PubMed] [Google Scholar]
  16. Clerc, M. , Ebert, D. , & Hall, M. D. (2015). Expression of parasite genetic variation changes over the course of infection: Implications of within‐host dynamics for the evolution of virulence. Proceedings of the Royal Society B: Biological Sciences, 282, 20142820 10.1098/rspb.2014.2820 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Desjardins, C. A. , Sanscrainte, N. D. , Goldberg, J. M. , Heiman, D. , Young, S. , Zeng, Q. , … Cuomo, C. A. (2015). Contrasting host–pathogen interactions and genome evolution in two generalist and specialist microsporidian pathogens of mosquitoes. Nature Communications, 6(1), 7121 10.1038/ncomms8121 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Duncan, A. B. , Agnew, P. , Noel, V. , & Michalakis, Y. (2015). The consequences of co‐infections for parasite transmission in the mosquito Aedes aegypti . Journal of Animal Ecology, 84, 498–508. 10.1111/1365-2656.12302 [DOI] [PubMed] [Google Scholar]
  19. Fellous, S. , & Koella, J. C. (2009). Infectious dose affects the outcome of the within‐host competition between parasites. The American Naturalist, 173, E177–E184. 10.1086/598490 [DOI] [PubMed] [Google Scholar]
  20. Ferrari, J. , Darby, A. C. , Daniell, T. J. , Godfray, H. C. J. , & Douglas, A. E. (2004). Linking the bacterial community in pea aphids with host‐plant use and natural enemy resistance. Ecological Entomology, 29, 60–65. 10.1111/j.1365-2311.2004.00574.x [DOI] [Google Scholar]
  21. Fox, J. , & Weisberg, S. (2019). An R companion to applied regression (3rd ed.). Thousand Oaks, CA: Sage publications. [Google Scholar]
  22. Frank, S. A. (1996). Models of parasite virulence. The Quarterly Review of Biology, 71, 37–78. 10.1086/419267 [DOI] [PubMed] [Google Scholar]
  23. Gipson, S. A. Y. , & Hall, M. D. (2018). Interactions between host sex and age of exposure modify the virulence‐transmission trade‐off. Journal of Evolutionary Biology, 31, 428–437. 10.1111/jeb.13237 [DOI] [PubMed] [Google Scholar]
  24. Halliday, F. W. , Umbanhowar, J. , & Mitchell, C. E. (2017). Interactions among symbionts operate across scales to influence parasite epidemics. Ecology Letters, 20, 1285–1294. 10.1111/ele.12825 [DOI] [PubMed] [Google Scholar]
  25. Hedges, L. M. , Brownlie, J. C. , O'Neill, S. L. , & Johnson, K. N. (2008). Wolbachia and virus protection in insects. Science, 322, 702 10.1126/science.1162418 [DOI] [PubMed] [Google Scholar]
  26. Hood, M. E. (2003). Dynamics of multiple infection and within‐host competition by the anther‐smut pathogen. The American Naturalist, 162, 122–133. 10.1086/375539 [DOI] [PubMed] [Google Scholar]
  27. Hoverman, J. T. , Hoye, B. J. , & Johnson, P. T. J. (2013). Does timing matter? How priority effects influence the outcome of parasite interactions within hosts. Oecologia, 173, 1471–1480. 10.1007/s00442-013-2692-x [DOI] [PubMed] [Google Scholar]
  28. Izhar, R. , & Ben‐Ami, F. (2015). Host age modulates parasite infectivity, virulence and reproduction. Journal of Animal Ecology, 84, 1018–1028. 10.1111/1365-2656.12352 [DOI] [PubMed] [Google Scholar]
  29. Izhar, R. , Routtu, J. , & Ben‐Ami, F. (2015). Host age modulates within‐host parasite competition. Biology Letters, 11, 20150131 10.1098/rsbl.2015.0131 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Jaenike, J. , Unckless, R. , Cockburn, S. N. , Boelio, L. M. , & Perlman, S. J. (2010). Adaptation via symbiosis: Recent spread of a Drosophila defensive symbiont. Science, 329, 212–215. 10.1126/science.1188235 [DOI] [PubMed] [Google Scholar]
  31. Jager, I. , & Schorring, S. (2006). Multiple infections: Relatedness and time between infections affect the establishment and growth of the cestode Schistocephalus solidus in its stickleback host. Evolution, 60, 616–622. [DOI] [PubMed] [Google Scholar]
  32. Jones, E. O. , White, A. , & Boots, M. (2010). The evolutionary implications of conflict between parasites with different transmission modes. Evolution, 64, 2408–2416. 10.1111/j.1558-5646.2010.00992.x [DOI] [PubMed] [Google Scholar]
  33. Karvonen, A. , Jokela, J. , & Laine, A. L. (2019). Importance of sequence and timing in parasite coinfections. Trends in Parasitology, 35, 109–118. 10.1016/j.pt.2018.11.007 [DOI] [PubMed] [Google Scholar]
  34. Lagrue, C. , McEwan, J. , Poulin, R. , & Keeney, D. B. (2007). Co‐occurrences of parasite clones and altered host phenotype in a snail‐trematode system. International Journal for Parasitology, 37, 1459–1467. 10.1016/j.ijpara.2007.04.022 [DOI] [PubMed] [Google Scholar]
  35. Laine, A. L. (2011). Context‐dependent effects of induced resistance under co‐infection in a plant–pathogen interaction. Evolutionary Applications, 4, 696–707. 10.1111/j.1752-4571.2011.00194.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Lee, K. P. , Simpson, S. J. , & Wilson, K. (2008). Dietary protein‐quality influences melanization and immune function in an insect. Functional Ecology, 22, 1052–1061. 10.1111/j.1365-2435.2008.01459.x [DOI] [Google Scholar]
  37. Levin, B. R. , & Bull, J. J. (1994). Short‐sighted evolution and the virulence of pathogenic microorganisms. Trends in Microbiology, 2, 76–81. 10.1016/0966-842X(94)90538-X [DOI] [PubMed] [Google Scholar]
  38. Lohr, J. N. , Yin, M. , & Wolinska, J. (2010). Prior residency does not always pay off‐co‐infections in Daphnia. Parasitology, 137, 1493–1500. 10.1017/S0031182010000296 [DOI] [PubMed] [Google Scholar]
  39. López‐Villavicencio, M. , Jonot, O. , Coantic, A. , Hood, M. E. , Enjalbert, J. , & Giraud, T. (2007). Multiple infections by the anther smut pathogen are frequent and involve related strains. PLoS Path, 3, e176 10.1371/journal.ppat.0030176 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Malpica, J. M. , Sacristán, S. , Fraile, A. , & García‐Arenal, F. (2006). Association and host selectivity in multi‐host pathogens. PLoS ONE, 1, e41 10.1371/journal.pone.0000041 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Marchetto, K. M. , & Power, A. G. (2018). Coinfection timing drives host population dynamics through changes in virulence. The American Naturalist, 191, 173–183. 10.1086/695316 [DOI] [PubMed] [Google Scholar]
  42. Mideo, N. (2009). Parasite adaptations to within‐host competition. Trends in Parasitology, 25, 261–268. 10.1016/j.pt.2009.03.001 [DOI] [PubMed] [Google Scholar]
  43. Natsopoulou, M. E. , McMahon, D. P. , Doublet, V. , Bryden, J. , & Paxton, R. J. (2015). Interspecific competition in honeybee intracellular gut parasites is asymmetric and favours the spread of an emerging infectious disease. Proceedings of the Royal Society B: Biological Sciences, 282, 20141896 10.1098/rspb.2014.1896 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. R Core Team, (2020). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; Retrieved from https://www.R‐project.org/ [Google Scholar]
  45. Restif, O. , & Kaltz, O. (2006). Condition‐dependent virulence in a horizontally and vertically transmitted bacterial parasite. Oikos, 114, 148–158. [Google Scholar]
  46. Rivero, A. , Agnew, P. , Bedhomme, S. , Sidobre, C. , & Michalakis, Y. (2007). Resource depletion in Aedes aegypti mosquitoes infected by the microsporidia Vavrala cuilcis . Parasitology, 134, 1355–1362. [DOI] [PubMed] [Google Scholar]
  47. Rodrigues, L. R. , Duncan, A. B. , Clemente, S. H. , Moya‐Laraño, J. , & Magalhães, S. (2016). Integrating competition for food, hosts, or mates via experimental evolution. Trends in Ecology & Evolution, 31, 158–170. 10.1016/j.tree.2015.12.011 [DOI] [PubMed] [Google Scholar]
  48. Rolff, J. , & Siva‐Jothy, M. T. (2003). Invertebrate ecological immunology. Science, 301, 472–475. 10.1126/science.1080623 [DOI] [PubMed] [Google Scholar]
  49. Rutrecht, S. T. , & Brown, M. J. F. (2008). The life‐history impact and implications of multiple parasites for bumble bee queens. International Journal for Parasitology, 38, 799–808. 10.1016/j.ijpara.2007.11.004 [DOI] [PubMed] [Google Scholar]
  50. Sandoval‐Aguilar, J. A. , Guzmán‐Franco, A. W. , Pell, J. K. , Clark, S. J. , Alatorre‐Rosas, R. , Santillán‐Galicia, M. T. , & Valdovinos‐Ponce, G. (2015). Dynamics of competition and co‐infection between Zoophthora radicans and Pandora blunckii in Plutella xylostella larvae. Fungal Ecology, 17, 1–9. 10.1016/j.funeco.2015.04.003 [DOI] [Google Scholar]
  51. Scarborough, C. L. , Ferrari, J. , & Godfray, H. C. J. (2005). Aphid protected from pathogen by endosymbiont. Science, 310, 1781 10.1126/science.1120180 [DOI] [PubMed] [Google Scholar]
  52. Susi, H. , Barrès, B. , Vale, P. F. , & Laine, A. L. (2015). Co‐infection alters population dynamics of infectious disease. Nature Communications, 6, 5975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Therneau, T. M. , & Grambsch, P. M. (2000). Modeling survival data: Extending the cox model, statistics for biology and health. New York, NY: Springer‐Verlag. [Google Scholar]
  54. Tollenaere, C. , Susi, H. , & Laine, A. L. (2016). Evolutionary and epidemiological implications of multiple infection in plants. Trends in Plant Science, 21, 80–90. 10.1016/j.tplants.2015.10.014 [DOI] [PubMed] [Google Scholar]
  55. Turner, P. E. , & Duffy, S. (2008). Evolutionary ecology of multiple phage adsorption and infection In Abedon S. T. (Ed.), Bacteriophage ecology: Population growth, evolution, and impact of bacterial viruses (pp. 195–216). Cambridge, UK: Cambridge University Press. [Google Scholar]
  56. van Baalen, M. , & Sabelis, M. W. (1995). The dynamics of multiple infection and the evolution of virulence. The American Naturalist, 146, 881–910. 10.1086/285830 [DOI] [Google Scholar]
  57. Vasco, D. A. , Wearing, H. J. , & Rohani, P. (2007). Tracking the dynamics of pathogen interactions: Modeling ecological and immune‐mediated processes in a two‐pathogen single‐host system. Journal of Theoretical Biology, 245, 9–25. 10.1016/j.jtbi.2006.08.015 [DOI] [PubMed] [Google Scholar]
  58. Wargo, A. R. , de Roode, J. C. , Huijben, S. , Drew, D. R. , & Read, A. F. (2007). Transmission stage investment of malaria parasites in response to in‐host competition. Proceedings of the Royal Society B: Biological Sciences, 274, 2629–2638. 10.1098/rspb.2007.0873 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Wolinska, J. , & King, K. C. (2009). Environment can alter selection in host‐parasite interactions. Trends in Parasitology, 25, 236–244. 10.1016/j.pt.2009.02.004 [DOI] [PubMed] [Google Scholar]
  60. Wuerthner, V. P. , Hua, J. , & Hoverman, J. T. (2017). The benefits of coinfection: Trematodes alter disease outcomes associated with virus infection. Journal of Animal Ecology, 86, 921–931. 10.1111/1365-2656.12665 [DOI] [PubMed] [Google Scholar]
  61. Zilio, G. , & Koella, J. C. (2020). Data from: Sequential co‐infections drive parasite competition and the outcome of infection. Dryad Digital Repository, 10.5061/dryad.3bk3j9kgm [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Zilio, G. , Thiévent, K. , & Koella, J. C. (2018). Host genotype and environment affect the trade‐off between horizontal and vertical transmission of the parasite Edhazardia aedis . BMC Evolutionary Biology, 18, 59 10.1186/s12862-018-1184-3 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data are available from the Dryad Digital Repository https://doi.org/10.5061/dryad.3bk3j9kgm (Zilio & Koella, 2020).


Articles from The Journal of Animal Ecology are provided here courtesy of Wiley

RESOURCES