
Key words: Ceriodaphnia, Daphnia, fungal diversity, Metschnikowia bicuspidata, multihost, parasite, pathogen, spillover
Genetic variation in parasites has important consequences for host–parasite interactions. Prior studies of the ecologically important parasite Metschnikowia bicuspidata have suggested low genetic variation in the species. Here, we collected M. bicuspidata from two host species (Daphnia dentifera and Ceriodaphnia dubia) and two regions (Michigan and Indiana, USA). Within a lake, outbreaks tended to occur in one host species but not the other. Using microsatellite markers, we identified six parasite genotypes grouped within three distinct clades, one of which was rare. Of the two main clades, one was generally associated with D. dentifera, with lakes in both regions containing a single genotype. The other M. bicuspidata clade was mainly associated with C. dubia, with a different genotype dominating in each region. Despite these associations, both D. dentifera- and C. dubia-associated genotypes were found infecting both hosts in lakes. However, in lab experiments, the D. dentifera-associated genotype infected both D. dentifera and C. dubia, but the C. dubia-associated genotype, which had spores that were approximately 30% smaller, did not infect D. dentifera. We hypothesize that variation in spore size might help explain patterns of cross-species transmission. Future studies exploring the causes and consequences of variation in spore size may help explain patterns of infection and the maintenance of genotypic diversity in this ecologically important system.
Introduction
Most parasite species contain substantial diversity (Thompson and Lymbery, 1990), and one of the grand challenges in understanding the evolution of infectious diseases is to understand what promotes this genotype diversity (Metcalf et al., 2015). Genetic variation within parasites could lead to variation in infectivity (e.g. Luijckx et al., 2011; Thrall et al., 2012; Koskella, 2014), virulence (e.g. Morrison et al., 2010; Hawley et al., 2013; Audebert et al., 2020), and other important traits, such as the ability to survive and disperse in the environment (e.g. Tack et al., 2014; Mahmud et al., 2017; Rogalski and Duffy, 2020). Thus, not only is genetic variation within parasites common, it is also important to the ecology and evolution of host-parasite systems.
Although genetic variation is common and critical for predicting parasite evolution, it is not universal. Even just considering fungal parasites, some are highly diverse (e.g. the biocontrol agent Beauveria (Serna-Domínguez et al., 2019)), whereas others have extremely low diversity (e.g. Batrachochytrium dendrobatidis (James et al., 2009), Geomyces destructans (Ren et al., 2012), Raffaelea lauricola (Wuest et al., 2017)). Low genetic diversity equates to low effective population size, and may result from recent, rapid geographic spread or clonal reproduction (e.g. Leopardi et al., 2015; O'Hanlon et al., 2018). However, in other cases, diversity of a parasite is surprisingly low even in systems where the parasite is not thought to have recently invaded new hosts and habitats. One example of this is the ecologically important host-parasite system comprised of the fungus Metschnikowia bicuspidata and its zooplankton (daphniid) hosts, where infections can reach high prevalences (~60% of the population with late stage infections at the peak of large outbreaks (Shaw et al., 2020)). Intriguingly, research from the 1880s in Europe (Metschnikoff, 1884) and 1970s in the USA (Green, 1974) suggests that M. bicuspidata has likely had a world-wide distribution for centuries.
Given its widespread geographic distribution and high prevalence within populations, it is surprising that prior studies have failed to find significant intraspecific variation in M. bicuspidata. Parasites collected from different lakes and in different years did not differ in their infectivity or virulence (Duffy and Sivars-Becker, 2007; Searle et al., 2015); parasite populations did not respond to artificial selection on (a) infectivity or virulence (Duffy and Sivars-Becker, 2007), (b) within host growth rate (Auld et al., 2014), or (c) fungicide resistance (Cuco et al., 2020); and comparisons of the SSU, ITS, and partial LSU regions found identical sequences for M. bicuspidata collected on different continents from different host species (Wolinska et al., 2009). However, these studies were not designed to characterize diversity across regions and hosts. First, the studies on phenotypes (Duffy and Sivars-Becker, 2007; Auld et al., 2014; Searle et al., 2015; Cuco et al., 2020) used M. bicuspidata collected from a single region in a single host, but evolutionary forces could generate variation between regions and hosts. Second, the genetic study (Wolinska et al., 2009) used relatively conserved loci, which often cannot separate geographic populations or even species for certain fungal taxa. Thus, broader sampling with more sensitive markers might uncover diversity.
We sought to uncover diversity in M. bicuspidata by genotyping parasites at microsatellite loci, which are generally more variable than the previously assayed SSU, ITS, and LSU loci (Chistiakov et al., 2006) and by collecting samples from two regions and from two host species. In particular, we hypothesized that M. bicuspidata genotypes might differ across host species because, while M. bicuspidata can infect multiple hosts (Auld et al., 2017), when two host species co-occur, it is common to see an outbreak in one host species but not the other. This is especially true in our studies of populations dominated by Daphnia dentifera and Ceriodaphnia dubia (data presented below). In prior studies, we have found that C. dubia is largely resistant to infections with M. bicuspidata isolated from D. dentifera (Strauss et al., 2015; Auld et al., 2017). These hosts vary substantially in adult body size (Dodson et al., 2010), and we had observed that M. bicuspidata spores in smaller-bodied hosts such as C. dubia were often notably smaller than those seen in D. dentifera in natural infections. Together, this led us to hypothesize that different host species harbour previously unseen variation in M. bicuspidata, and that this among-host variation might be associated with key parasite traits.
We conducted a study aimed at quantifying genetic variation in this ecologically important parasite. First, we monitored M. bicuspidata prevalence in two host species, C. dubia and D. dentifera. Second, we developed microsatellite markers and, with these, quantified intraspecific variation in M. bicuspidata by genotyping parasites in two infected hosts species (C. dubia and D. dentifera) collected from multiple lakes in two regions (Michigan (MI) and Indiana (IN), USA). Third, we carried out a lab experiment in which we (1) assessed the ability of parasites isolated from one host species to infect the other host species, (2) quantified spore yield within infected hosts, and (3) measured spore size, a trait that we hypothesized might be associated with the ability to infect different hosts. Overall, we found that outbreaks tend to occur in one host species or the other but not both simultaneously, that there is significant genetic variation in M. bicuspidata, and that this variation is associated with the ability to infect different host species, spore yield within infected hosts, and spore size.
Materials and methods
Study system
Zooplankton communities experience outbreaks of M. bicuspidata in late summer and autumn (Shaw et al., 2020). Grazing hosts consume infective, needle-shaped spores floating in the water; infection occurs if these spores pierce through the gut epithelium and are not successfully thwarted by the host immune response (Metschnikoff, 1884; Stewart Merrill and Cáceres, 2018; Stewart Merrill et al., 2020). The parasite replicates within the host body cavity (Stewart Merrill and Cáceres, 2018), and spores are released into the water after host death (Ebert, 2005) either as the cadaver decays or as a result of predation (Cáceres et al., 2009; Duffy, 2009).
Within the communities studied, D. dentifera and C. dubia are commonly infected hosts. However, these hosts are likely different selective environments for M. bicuspidata and potentially impact its diversity at the within-host or lake level. Importantly, the hosts differ in body size at maturity, with C. dubia adults being ~1 mm and D. dentifera adults being ~1.5–2.5 mm (Dodson et al., 2010), which could affect parasite infection or spore production (Auld et al., 2017). Indeed, within D. dentifera, M. bicuspidata produces more spores in larger hosts (Hall et al., 2009; Penczykowski et al., 2014; Civitello et al., 2015), likely due to space and/or resource constraints. Additional traits that affect infection such as spore capture during feeding, penetrability of the gut epithelium, or immune responses could also differ between the host species. In previous lab assays, infectivity and spore production was substantially lower in C. dubia than in D. dentifera (Strauss et al., 2015; Auld et al., 2017). However, in those studies, spores were sourced only from infected D. dentifera (i.e. collected by grinding up infected D. dentifera hosts) rather than C. dubia hosts. Although D. dentifera and C. dubia co-occur in many lakes (Tessier and Woodruff, 2002; Hall et al., 2010), their habitat preferences differ (Desmarais and Tessier, 1999; Strauss et al., 2016), so abundances of the two hosts vary. Parasite genetic diversity could thus be influenced by the distribution of hosts in lakes across a landscape.
Field survey
In order to quantify outbreak size in D. dentifera and C. dubia, we surveyed 15 lakes near Ann Arbor, Michigan and 35 lakes in Greene and Sullivan Counties, Indiana. Lakes were sampled approximately every 2 weeks from mid-July until mid-November 2015 by combining three vertical plankton tows from different locations in the deepest part of the lake. These live samples were subsampled within 36 h of collection until at least 200 D. dentifera and all C. dubia in those subsamples were counted and diagnosed visually (under a dissecting microscope) for infection with M. bicuspidata; hosts were diagnosed as infected if they contained asci, indicating they were fully infected (Stewart Merrill and Cáceres, 2018). To quantify outbreak size, we calculated area under the infection prevalence time series for each host and lake using the trapezoid rule (Penczykowski et al., 2014), thus units for this metric are prevalence × days. A linear model was used to test the association between outbreak sizes in the two host species.
Sample collection and genotyping
We evaluated genetic structure of parasite populations using microsatellites. We genotyped M. bicuspidata from 51 infected hosts collected from five lakes in Livingston and Washtenaw counties, Michigan, and 11 lakes in Greene and Sullivan counties, Indiana, in July–November of 2015 ( Tables S1 and S2). To create primers to amplify microsatellite regions, we located simple sequence repeats (with the MISA script; Thiel, 2003) in the M. bicuspidata genome (Ahrendt et al., 2018) and then used Primer 3 software (Rozen and Skaletsky, 2000). Out of 24 candidate primer pairs, we selected nine that gave the most consistent amplification and variation between samples (Table S3). DNA extraction from infected D. dentifera and C. dubia and genotyping followed standard methods (see the Supplementary material).
Population genetic metrics were calculated using the R package poppr version 2.8.2 (Kamvar et al., 2014; see the Supplementary material). We calculated Prevosti genetic distance between each parasite sample: the fraction of allelic differences between two parasite genotypes out of all loci (Wright, 1978). With these distances we constructed a dendrogram using the unweighted pair group method with arithmetic mean (UPGMA). We generated support for each node using 1000 bootstrapped samples (Kamvar et al., 2014). The dendrogram allows for a visual inspection of how the diversity of M. bicuspidata genotypes are organized and if organization depends on host species, region (IN or MI), or lake. Then, to determine if host species, region, or lake was statistically associated with the structure of the parasite populations, we ran analyses of molecular variance (AMOVA) with the Prevosti distances among genotypes. In an AMOVA, genotypes are grouped into hierarchical categories (here: host species, region, and lake), and the significance of the similarity of genotypes in each category is tested (Excoffier et al., 1992). Since there was not an obvious hierarchy of categories in our study, we performed two AMOVAs. The first (AMOVA 1) designated host species as the highest level of hierarchy followed by region and lake. The second (AMOVA 2) designated region as the highest level of hierarchy followed by lake and host species.
Cross-infection experiment
Because M. bicuspidata infects both D. dentifera and C. dubia in nature, we tested if the parasite was equally successful infecting each host species with a cross-infection experiment. We quantified infectivity and spore production of parasites collected from D. dentifera and C. dubia in host clones of each species. For clarity we refer to animals exposed in the experiment as ‘exposed hosts’ and animals from which parasites were isolated for the experiment as ‘source hosts’. From our genotyping results, it seemed likely that cross infection patterns might differ for parasites collected from different lakes. Therefore, cross infection trials for parasites from different lakes were performed and analysed separately.
In September 2017, we used D. dentifera and C. dubia collected from plankton tows to establish unparasitized asexual isofemale lines from several lakes that we thought might have M. bicuspidata outbreaks in both hosts later in the fall. However, only one of these (Benefiel) ended up having an outbreak in both host species. Thus, in November, we also established asexual isofemale lines (hereafter: ‘clones’) from Goose Lake, where an outbreak of M. bicuspidata was occurring in both host species. We used plankton tows collected from Benefiel Lake and Goose Lake in November 2017 to collect infected animals to be used as the source of M. bicuspidata spores from D. dentifera and C. dubia hosts for experimental infections. With these, we created spore slurries by homogenizing infected animals. For Benefiel Lake, we created one spore slurry by pooling infected D. dentifera and a second spore slurry by pooling infected C. dubia. Then, two to four groups of six 7-day old individuals of a given clone (5 D. dentifera clones and 5 C. dubia clones; Table 1) were exposed to 250 parasite spores/ml from the D. dentifera-sourced slurry or the C. dubia-sourced slurry. We performed the Goose Lake experiment in a similar fashion but in two blocks, with each block having different spore slurries composed of either infected D. dentifera or infected C. dubia. Due to difficulties growing up individuals of clones from both lakes, exposures were imbalanced, but this was especially the case for Goose Lake, since we had less time to grow up clones; we exposed zero to six group(s) of a given clone (5 D. dentifera clones and 5 C. dubia clones; Table 1) to the spore slurries. All exposures lasted 48 hours and took place in 80 mL of filtered (with A/E 1 μm filters, Pall) water from a lake near Ann Arbor, MI (North Lake). We routinely use filtered water from this lake for culturing Daphnia spp. and C. dubia and have never had animals become infected unintentionally (i.e. in a beaker to which we had not added Metschnikowia spores). On the day of exposure, we added algal food, 12 500 cells Ankistrodesmus falcatus/mL (‘AJT’ strain; Schomaker and Dudycha, 2021), to each beaker. On the second day of exposure, an additional 18 750 cells Ankistrodesmus falcatus/mL were added to each beaker. After exposure and twice weekly thereafter, exposed animals were moved to 100 mL spore-free filtered lake water and fed 25 000 cells Ankistrodesmus falcatus/mL daily (at 20°C with a 16:8 h light:dark cycle). Hosts were fed less food during exposure because this increases infection (Hall et al., 2007); afterwards, hosts were fed saturating food levels.
Table 1.
Number of replicate beakers exposed to Metschnikowia bicuspidata from each isolation host
| Experimental clone name | Host | Number of replicates exposed to M. bicuspidata from Daphnia Dentifera | Number of replicates exposed to M. bicuspidata from Ceriodaphnia dubia |
|---|---|---|---|
| BenefielDaphnia4 | D. dentifera | 3 | 3 |
| BenefielDaphnia6 | D. dentifera | 3 | 3 |
| BenefielDaphnia7 | D. dentifera | 2 | 2 |
| BenefielDaphnia14 | D. dentifera | 3 | 3 |
| BenefielDaphnia16 | D. dentifera | 3 | 3 |
| BenefielCerio13 | C. dubia | 3 | 4 |
| BenefielCerio6 | C. dubia | 4 | 4 |
| BenefielCerio10 | C. dubia | 2 | 2 |
| BenefielCerio1 | C. dubia | 4 | 4 |
| BenefielCerio15 | C. dubia | 4 | 4 |
| GooseCerioB | C. dubia | 4/6 | 4/2 |
| GooseCerioA | C. dubia | 4/3 | 3/3 |
| GooseCerioC | C. dubia | 4/2 | 3/1 |
| GooseCerioI | C. dubia | 3/6 | 3/2 |
| GooseCerioJ | C. dubia | 3/2 | 3/1 |
| GooseDaphniaA | D. dentifera | 1/1 | 1/1 |
| GooseDaphniaH | D. dentifera | 1/5 | 1/4 |
| GooseDaphniaE | D. dentifera | 1/0 | 1/1 |
| GooseDaphniaD | D. dentifera | 0/0 | 0/1 |
| GooseDaphniaC | D. dentifera | 0/0 | 0/1 |
The experiment with Goose Lake hosts and spores was completed in two blocks; the number before the slash indicates the numbers of beakers in the first block and the number after the slash indicates numbers of beakers in the second block.
After 11 days, we diagnosed exposed hosts with a dissecting microscope; as with the field survey, animals were considered infected if they contained asci (Stewart Merrill and Cáceres, 2018). We ended the experiment before natural host death; death rates in natural populations indicate that hosts are likely to die from factors like predation prior to dying from virulent effects of parasites (Duffy and Hall, 2008), and spores remain infectious after infected hosts are killed by predators (Cáceres et al., 2009; Duffy, 2009).
Infected individuals from the experiment were frozen for later processing, which involved spore counts, measuring spore length, and genotyping. First, we counted spores: each infected experimental animal was homogenized in 50 μL of water for 30 s with a battery-powered pestle. Three 10 μL aliquots of the homogenized solution were placed on a hemocytometer and spores within the grid were counted under 400× magnification. Average counts were used to quantify spore yields per infected individual. We then measured the length of a random sampling of spores from each infected individual: for each counted grid, one photograph was taken of spores at 400× magnification with a microscope camera (DP73, Olympus). The spores in view were measured with cellSens software (Olympus), and average spore length was computed across all three photographs. On average, 14.9 spores were measured per infected animal although this ranged from 3 to 38 spores. Finally, we genotyped M. bicuspidata from a subset of the homogenized infected hosts (42 and 12 from the Benefiel and Goose cross-infection experiments respectively) in order to determine which parasite genotype was responsible for infection with similar methods to the genotyping study (see the Supplementary material).
We analysed experimental results (i.e. proportion infected and number and length of spores) for each lake separately with generalized linear mixed effects models or linear mixed effects models using the lme4 package version 1.1.21 (Bates et al., 2015). Proportion infected (binomial errors) and number and length of spores produced (Gaussian errors) were each modelled with an interaction between exposed host and source host (fixed effects) and with host clone included as a random effect. Beaker was included as an additional random effect for the latter two analyses where metrics were from infected individuals, to account for potential non-independence of individuals that were in the same beaker. Non-significant interactions were dropped. The experimental cross infections using spores from Goose Lake were completed in two temporal blocks (adding another random effect to the analysis for the Goose Lake experiment; Table 1). Post hoc comparisons were computed using the emmeans package version 1.3.3 (Lenth, 2016). We used a linear mixed effects model to describe the number of spores produced in an infection as a function of the interaction between mean spore length and exposed host species, with clone, beaker, and block (for the Goose experiment) as random effects.
Results
Field survey
Outbreaks of M. bicuspidata tended to occur in either D. dentifera or C. dubia, but not in both in the same year (Fig. 1). Outbreak size in one host species was not correlated with outbreak size in the other host (F1,25 = 0.904, P = 0.351).
Fig. 1.
Sizes (time-integrated prevalence) of M. bicuspidata outbreaks in 2015 in D. dentifera and C. dubia were not correlated. Points are partially transparent to allow better visualization of overlapping points. Data are only plotted for lake-years where both hosts were present at some point during the sampling period.
Metschnikowia bicuspidata genotypes
We found six parasite genotypes infecting D. dentifera and C. dubia hosts in our survey lakes, grouped within three distinct clades (Fig. 2). We found an average of 2.78 alleles per locus, and the six genotypes differed on average at 5.3 loci. Nei's gene diversity (HS) measures the probability that two randomly drawn alleles from a given locus in a population will be different. Over all parasites isolated from D. dentifera and C. dubia, HS was 0.409 [95% confidence interval (CI): (0.379, 0.422)], but for parasites infecting each host species, HS was lower [D. dentifera HS = 0.291, 95% CI: (0.222, 0.333); C. dubia HS = 0.290, 95% CI: (0.232, 0.324)], indicating lower diversity of genotypes infecting each individual host species.
Fig. 2.
Microsatellite genotyping of M. bicuspidata from infected D. dentifera (blue font) and C. dubia (red font) collected in fall 2015 in Indiana (IN) and Michigan (MI) lakes (USA). Genotypes of M. bicuspidata infecting two copepods collected in fall 2014 are also included. We found three parasite clades. Of these, two were particularly common, with one primarily infecting D. dentifera and the other primarily infecting C. dubia. Within the C. dubia-associated clade, genotypes fall into different clades in IN and in MI. Tip labels follow the format LakeHostDate.Replicate(State). See supplemental Table S1 for a list of samples. Scale bar indicates Prevosti distance between individuals. Bootstrap support (>40%) is noted on nodes. Source hosts used in the lab experiments were collected in a subsequent year and pooled in spore slurries (see Materials and methods); thus, individual source hosts were not genotyped and are not on the dendrogram.
We calculated the index of association, IA, among alleles in clone corrected (data were filtered so that each multilocus genotype was represented once) parasite genotypes to evaluate if parasites were outcrossing or clonal (Smith et al., 1993). The clone corrected index of association was 0.995 (P = 0.007) indicating that M. bicuspidata reproduces clonally.
Of the three most abundant M. bicuspidata genotypes, one genotype was present in both regions and found primarily infecting D. dentifera (Fig. 2; the single genotype in the D. dentifera-associated clade). The other two abundant M. bicuspidata genotypes were found primarily in C. dubia with one genotype common in Indiana lakes and the other genotype common in Michigan lakes (Fig. 2; the two most common genotypes in the C. dubia-associated clade). However, none of the three most prevalent M. bicuspidata genotypes was restricted to a single host species.
There were also three less common M. bicuspidata genotypes. One was found in Sycamore Lake and Shake 1 Lake (both in Indiana). Sycamore Lake only had infections in C. dubia, and Shake 1 Lake had low infection levels in D. dentifera early in the season, but not when samples were collected. The other two less common M. bicuspidata genotypes were found infecting hosts in Michigan lakes, Woodland and Mill. In both of these lakes, it is possible that these infections spilled over from other host species. In Woodland Lake, two copepods collected in 2014 were infected by the same M. bicuspidata genotype as an infected D. dentifera that was collected in 2015 (Fig. 2). Marine copepods have previously been found to be infected with a different species of Metschnikowia (Seki and Fulton, 1969); this is the first published record of M. bicuspidata in copepods, although we have seen M. bicuspidata in copepods during other sampling of Indiana Lakes, as well (S.R. Hall, personal observation). In Mill Lake, only two infected D. dentifera were counted over the entire season. Although outbreaks didn't take off in any species, one infected C. dubia, one infected D. ambigua, and two infected D. retrocurva were also documented in this lake during fall 2015, but parasites infecting these animals were not genotyped.
Overall, parasite genotypes from infected D. dentifera and C. dubia clustered by host species, although occasionally individuals of different host species in the same lake shared the same parasite genotype, showing that each parasite genotype can infect both hosts (Fig. 2). When host species was the highest level of hierarchy (AMOVA 1), host species groups explained 32.17% of the variation between samples (P = 0.001, Table 2), but when it was the lowest level (AMOVA 2) it only explained 6.29% of the variation between samples (P = 0.177, Table 2) with lake groups accounting for 73.37% of the variation (P = 0.011, Table 2). Together, the AMOVAs suggest genetic structure: D. dentifera and C. dubia tended to get infected by different M. bicuspidata genotypes when collected from different lakes. Within lakes, there was often transmission of a given M. bicuspidata genotype between the host species.
Table 2.
Hierarchical analysis of variance suggests genotypic variance is partitioned by host and lake
| AMOVA 1 | ||||
|---|---|---|---|---|
| Observed partition | ||||
| Variance component | Variance | % total | ϕ-statistics | Pa |
| Between hosts | 1.51 | 32.17 | ɸHost−Total = 0.32 | (greater) 0.001 |
| Between states | 0.53 | 11.26 | ɸState−Host = 0.17 | (greater) 0.167 |
| Between lakes | 2.00 | 42.47 | ɸLake−State = 0.75 | (greater) 0.001 |
| Within lakes | 0.66 | 14.10 | ɸLake−Total = 0.86 | (less) 0.001 |
| AMOVA 2 | ||||
| Observed partition | ||||
| Variance component | Variance | % total | ɸ-statistics | Pa |
| Between states | 0.16 | 3.98 | ɸState−Total = 0.04 | (greater) 0.301 |
| Between lakes | 2.98 | 73.37 | ɸLake−State = 0.76 | (greater) 0.011 |
| Between hosts | 0.26 | 6.29 | ɸHost−Lake = 0.28 | (greater) 0.177 |
| Within hosts | 0.66 | 16.36 | ɸHost−Total = 0.84 | (less) 0.001 |
The two AMOVA analyses were designed to test if genetic variance was organized by host species, region (IN or MI), or lake using a hierarchical approach. AMOVA 1 designates host species as highest level of the hierarchical analysis followed by region and lake. AMOVA 2 designates region as the highest level followed by lake and host species.
The P values are calculated by 999 random permutations of the distance matrix (composed of Prevosti distances) between genotyped parasites. Significance is attained if the observed ɸ-statistic (and variance component) is greater or less (noted in parentheses) than it would be by chance (Excoffier et al., 1992).
Cross-infection experiment
The results of our cross-infection experiment differed between the two lakes. In the cross-infection experiment using exposed and source hosts from Benefiel Lake, infection and spore production depended on both the source host species and the exposed host species. The proportion of infection in C. dubia was higher when exposed to C. dubia-sourced spores, as compared to D. dentifera-sourced spores (Fig. 3A; source × exposed host interaction: LRT = 8.82, P = 0.003; post-hoc comparison of prevalence in C. dubia for C. dubia- vs D. dentifera-sourced spores: z = 3.18, P = 0.008). In contrast, prevalence of infection in D. dentifera was consistent when they were exposed to C. dubia-sourced spores and D. dentifera-sourced spores (Fig. 3A).
Fig. 3.
The combination of exposed and source hosts from Benefiel (IN) mattered for infection and spore production. (A) The proportion of infected animals depended on an exposed × source host interaction: C. dubia were most infected by C. dubia-sourced spores. Points represent beakers, and shapes represent different experimental host clones. (B) More spores were produced in exposed D. dentifera hosts; in exposed C. dubia, more spores were produced when infected with C. dubia-sourced M. bicuspidata. (C) Spores in C. dubia exposed hosts were smaller when sourced from C. dubia. The smaller spores belonged to the C. dubia-associated M. bicuspidata genotype (red fill) found in Benefiel in 2015, while the larger spores belonged to the D. dentifera-associated M. bicuspidata genotype (blue fill). (D) When infected with the C. dubia-associated genotype, exposed C. dubia hosts produced a relatively large number of small spores (red border-red fill symbols); in contrast, when infected with the D. dentifera-associated genotype, exposed C. dubia hosts produced fewer and larger spores (red border-blue fill symbols). Exposed D. dentifera hosts (blue border) only produced relatively large spores. Within exposed D. dentifera, animals that had larger spores also produced more spores. In (B)–(D) points represent individual infected hosts with shapes designating different experimental host clones. Beaker was also included as a random effect in statistical models.
Spore production at 11 days post infection also depended on source and exposed hosts (source host: LRT = 8.86, P = 0.003; exposed host: LRT = 6.77, P = 0.009; Fig. 3B). In exposed C. dubia, C. dubia-sourced M. bicuspidata produced more spores than D. dentifera-sourced M. bicuspidata (post-hoc: t-ratio = 2.81, P = 0.04; Fig. 3B). In exposed D. dentifera, spore production at 11 days did not differ significantly between animals infected by C. dubia-sourced and D. dentifera-sourced spores (Fig. 3B).
The size of spores produced in infections depended on source and exposed host (Fig. 3C; LRT = 25.46, P < 0.001): C. dubia-sourced M. bicuspidata produced smaller spores in exposed C. dubia hosts as compared to spores produced in exposed D. dentifera hosts sourced from either host species (post-hoc: from D. dentifera: t-ratio = −8.94, P < 0.001; from C. dubia: t-ratio = −7.77, P < 0.001) and to spores produced in C. dubia when sourced from D. dentifera (post-hoc: t-ratio = −8.69, P < 0.001). These smaller spores belonged to the most prevalent Indiana (IN) C. dubia-associated genotype (i.e. in the C. dubia-associated clade) in the 2015 survey (Fig. 2). In contrast, the larger spores belonged to the main D. dentifera-associated genotype. Ceriodaphnia dubia exposed to M. bicuspidata sourced from C. dubia became infected by both genotypes, whereas the D. dentifera exposed to spores sourced from C. dubia only became infected by the main D. dentifera-associated genotype (Fig. 3C). Furthermore, C. dubia produced more spores when infected by the smaller-spored genotype, as compared to when they were infected by the larger-spored genotype (Fig. 3D; spore size × host species: LRT = 15.97, P < 0.001). In summary, C. dubia source hosts from Benefiel must have been infected by both genotypes when they were collected from the field. Then, in the experiment, exposed C. dubia hosts became infected by both genotypes; in contrast, D. dentifera only became infected by the larger, D. dentifera-associated genotype.
Results from the cross infection with hosts and parasites from Goose Lake showed different patterns. Overall infection levels were low, and therefore no influence of source or exposed host on infection rates could be detected (Fig. 4A). More spores were produced in D. dentifera hosts (LRT = 3.84, P = 0.05; Fig. 4B), although there was no difference in spore quantities produced by M. bicuspidata from the two source host species (LRT = 0.00, P = 0.98). Spore sizes were not significantly different between the groups (exposed species: LRT = 0.55, P = 0.46; source species: LRT = 0.59, P = 0.44; Fig. 4C). Notably, all genotyped samples belonged to the D. dentifera-associated genotype (Fig. 4C and D). Infection by only one M. bicuspidata genotype is consistent with the lack of a source host effect on infection rate, spore yield, and spore size on exposed host species in this lake.
Fig. 4.
The combination of exposed and source hosts yielded different results shown here from Goose lake than from Benefiel Lake, likely because this lake harboured only the D. dentifera-associated M. bicuspidata genotype. (A) No influence of source or exposed host on infection rates could be detected. Points represent beakers, and shapes represent different experimental host clones. (B) More spores were produced in D. dentifera hosts, but the origin of spores did not affect spore production. (C) There was no significant difference in spore size between the exposed groups. Furthermore, all genotyped infections belonged to the D. dentifera-associated genotype. (D) Spore length did not significantly influence spore production in either D. dentifera or C. dubia, likely because all spores were large relative to spores of the C. dubia-associated genotypes. In (B)–(D) points represent individual infected hosts with shapes designating different experimental host clones. Beaker was also included as a random effect in statistical models.
Discussion
Metschnikowia bicuspidata is a widespread parasite of Daphnia (Green, 1974; Ebert, 2005) with substantial impacts on the ecology (Duffy, 2007; Duffy and Hall, 2008; Penczykowski et al., 2020) and evolution (Duffy and Sivars-Becker, 2007; Duffy et al., 2008, 2012) of its hosts. As reviewed in the introduction, prior studies failed to detect phenotypic or genetic variation in Daphnia hosts, even though outbreaks are large, common, and occur in multiple hosts on multiple continents. Here, using more sensitive techniques, we found significant intraspecific variation in M. bicuspidata. We found six parasite genotypes grouped within three distinct clades. One of these clades was rare (but included a M. bicuspidata genotype that infected copepods and D. dentifera – notable given that the most recent common ancestor of these taxa lived ~550 MYA during the Cambrian Era (Schwentner et al., 2017)). Of the two main parasite clades, one was primarily associated with D. dentifera and the other was primarily associated with C. dubia. In lake populations, outbreaks tended to occur in one species or the other. However, each of these genotypes could be found in both hosts within a lake, indicating that parasite genotypes were not completely restricted to the host species with which they were most commonly associated. In laboratory cross-infection experiments, infection outcomes depended on the lake from which parasite spores were collected, likely because only one of the two lakes contained the C. dubia-associated genotype. In the experiment where spores were collected from this lake (Benefiel), the D. dentifera-associated genotype was able to infect both host species, but produced fewer spores at 11 days post infection in C. dubia hosts than the C. dubia-associated genotype did. In contrast, the C. dubia-associated genotype did not infect D. dentifera. The C. dubia-associated genotype produced smaller spores, as compared to the D. dentifera genotype, even when they both infected the same host species, C. dubia. In the experiment where spores were collected from the other lake (Goose), there was a lack of effect of source host on infection rate, spore yield, and spore size, which is consistent with only the D. dentifera-associated genotype causing infection in this lake.
We hypothesize that spore size might influence the ability of M. bicuspidata to infect different hosts, by influencing the likelihood of encountering a spore and/or the probability of infection given encounter. First, the likelihood of encountering a spore will vary based on both filtering rate (Burns, 1969) and feeding appendage structure (Geller and Müller, 1981), both of which correlate with body size. Second, once a spore is encountered, infection is a mechanical process in which spores penetrate the host's gut wall (Stewart Merrill and Cáceres, 2018; Stewart Merrill et al., 2020); one possibility is that size could impact the probability of piercing through this barrier. Infection usually begins at the anterior or posterior bends in the gut where long, needle-like spores may ram straight into the gut wall instead of making the ‘turn’ with the rest of the gut contents (Stewart Merrill and Cáceres, 2018; Fig. 5). Smaller spores may lodge in the gut for smaller animals; however, in larger animals, small spores would more easily flow around the bend in the gut without piercing the gut wall (since gut volume scales with host body volume; Hall et al., 2007). Although both C. dubia and D. dentifera grow continuously and show variation in adult body size, C. dubia is smaller-bodied than D. dentifera (Dodson et al., 2010; Fig. 5). If either or both of these mechanisms (likelihood of encounter and infection given encounter) is operating, it would suggest that differences in host species composition and/or stage structure could influence the fitness of different M. bicuspidata genotypes.
Fig. 5.
Although both D. dentfera and C. dubia grow continuously, adult D. dentifera are larger than adult C. dubia, potentially influencing competence for the parasite. The photograph shows two adult female C. dubia (on top) and one adult female D. dentifera (below). Arrows show bends where spores most likely pierce the gut wall (Stewart Merrill and Cáceres, 2018). Photo credit: Meghan A. Duffy.
Interestingly, this is not the first study to find variation in spore size in Metschnikowia. An earlier study also found two sizes of M. bicuspidata spores infecting Daphnia magna and Daphnia pulex in southern England (Stirnadel and Ebert, 1997). In addition, a different Metschnikowia species, Metschnikowia typographi, that infects bark beetles also has different size morphs that may be specialized on different bark beetle species (Weiser et al., 2003; Yaman and Radek, 2008). More extensive sampling (both geographically and in terms of host species) and genotyping could help us to understand the evolutionary relationships between the genotypes documented in this study as well as the evolutionary history of M. bicuspidata spore size. At present, it is intriguing that, even though we found a relatively small number of genotypes, genotype seems to be associated with M. bicuspidata spore size, suggesting adaptation to divergent selection imposed by different hosts. This adaptation could be facilitated by the apparent reproductive isolation (through clonality or strict selfing) between M. bicuspidata genotypes despite the great potential for interbreeding (i.e. co-occurrence of the major clades in the same lake and the long-distance dispersal detected here). Spore size is associated with both neutral markers and virulence in other fungal parasites (Fisher et al., 2009). Fisher et al. (2009) also noted the surprising link of Bd genotype with functional traits, where, as is also true for M. bicuspidata, molecular markers show low genetic diversity. The observation of traits diverging faster than neutral markers suggests they are under strong selection.
Parasite fitness will depend not only on the likelihood of infecting a host, but also on the spore yield from that host. In our cross-infection experiments, the larger-spored D. dentifera-associated genotype of M. bicuspidata was able to infect both species, but it produced fewer spores in C. dubia (on average less than half as many spores in C. dubia hosts than in D. dentifera hosts at 11 days post infection). One possibility is that fewer of these large spores can be produced in smaller C. dubia due to limitations on space and/or resources. In general, parasite biomass has been shown to scale with host body mass (Poulin and George-Nascimento, 2007). Several other parasites produce fewer transmission stages in smaller hosts including the bacterium Pasteuria ramosa in Daphnia (Cressler et al., 2014; Clerc et al., 2015) and the microsporidian Nosema whitei in Tribolium beetles (Blaser and Schmid-Hempel, 2005). Overall, spore yield of C. dubia-associated M. bicuspidata is higher in C. dubia, and spores from C. dubia are more likely to infect C. dubia (as compared to spores from D. dentifera).
Given these differences in infectivity and spore yield, which parasite genotypes are favoured will depend on the relative densities of the two host species. The D. dentifera-associated genotype was able to infect both host species in our laboratory cross-infection experiment but had lower spore yield in C. dubia. The C. dubia-associated genotype did not infect D. dentifera in our lab experiment (but was found in D. dentifera in the field); however, C. dubia infected with the C. dubia-associated genotype produced many more spores as compared to C. dubia infected with the D. dentifera-associated genotype. Thus, which genotype of M. bicuspidata is favoured will likely depend on which host species dominates in a given lake, which is driven by a suite of biotic and abiotic factors (Desmarais and Tessier, 1999; Tessier and Woodruff, 2002). Further study of the impacts of these factors on parasite distributions could yield insights into why Goose Lake apparently did not host the C. dubia-associated genotype despite having a large enough outbreak in C. dubia hosts that we were able to collect enough infected C. dubia for our experiment (a task that proved difficult in many lakes, see ‘Materials and methods’). Future studies on the evolution of M. bicuspidata would also be interesting, as evolution will likely depend on both trade-offs faced by genotypes as well as on the relative quantity and quality of the different hosts (Gandon, 2004).
By studying two zooplanktonic host species in two regions, we have uncovered diversity in an ecologically important parasite that was previously thought to harbour little or no genetic diversity. Parasite genotypes clustered by host species and by lake and differed in spore size and cross-species transmission. Future studies should further explore the causes and consequences of the association between parasite spore size, host body size, and the likelihood of interspecific transmission, as this may help explain patterns of infection in this ecologically important system.
Acknowledgements
We thank K. Hunsberger, C. Gowler, M. Rogalski, N. Wale, K. Sánchez, M. Sljivar, A. Strauss, A. Axhelm, A. Bowling, P. Orlando, and J. Walsman who helped to collect field data. We also thank Raquel Marchan Rivadeneira for help with genotyping work. We thank Mark Hunter, Aaron King, Ed Ionides, and two anonymous reviewers for comments on earlier versions of this manuscript.
Financial support
This work was supported by the National Science Foundation (DEB-1305836 and DEB-1748729 to MAD and DEB-1353749 to SRH), the University of Michigan EEB Block Grant, and by the Moore Foundation (GBMF9202; DOI: https://doi.org/10.37807/GBMF9202).
Supplementary material
For supplementary material accompanying this paper visit https://doi.org/10.1017/S0031182021000949.
click here to view supplementary material
Conflict of interest
None.
References
- Ahrendt SR, Quandt CA, Ciobanu D, Clum A, Salamov A, Andreopoulos B, Cheng J-F, Woyke T, Pelin A, Henrissat B, Reynolds NK, Benny GL, Smith ME, James TY and Grigoriev IV (2018) Leveraging single-cell genomics to expand the fungal tree of life. Nature Microbiology 3, 1417–1428. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Audebert C, Bonardi F, Caboche S, Guyot K, Touzet H, Merlin S, Gantois N, Creusy C, Meloni D, Mouray A, Viscogliosi E, Certad G, Benamrouz-Vanneste S and Chabé M (2020) Genetic basis for virulence differences of various Cryptosporidium parvum carcinogenic isolates. Scientific Reports 10, 7316. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Auld SKJR, Hall SR, Housley Ochs J, Sebastian M and Duffy MA (2014) Predators and patterns of within-host growth can mediate both among-host competition and evolution of transmission potential of parasites. The American Naturalist 184(Suppl 1), S77–S90. [DOI] [PubMed] [Google Scholar]
- Auld SKJR, Searle CL and Duffy MA (2017) Parasite transmission in a natural multihost–multiparasite community. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 372, 20160097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bates D, Mächler M, Bolker B and Walker S (2015) Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67, 1–48. [Google Scholar]
- Blaser M and Schmid-Hempel P (2005) Determinants of virulence for the parasite Nosema whitei in its host Tribolium castaneum. Journal of Invertebrate Pathology 89, 251–257. [DOI] [PubMed] [Google Scholar]
- Burns CW (1969) Relation between filtering rate, temperature, and body size in four species of Daphnia. Limnology and Oceanography 14, 693–700. [Google Scholar]
- Cáceres CE, Knight CJ and Hall SR (2009) Predator spreaders: predation can enhance parasite success in a planktonic host-parasite system. Ecology 90, 2850–2858. [DOI] [PubMed] [Google Scholar]
- Chistiakov DA, Hellemans B and Volckaert FAM (2006) Microsatellites and their genomic distribution, evolution, function and applications: a review with special reference to fish genetics. Aquaculture 255, 1–29. [Google Scholar]
- Civitello DJ, Penczykowski RM, Smith AN, Shocket MS, Duffy MA and Hall SR (2015) Resources, key traits, and the size of fungal epidemics in Daphnia populations. Journal of Animal Ecology 84, 1010–1017. [DOI] [PubMed] [Google Scholar]
- Clerc M, Ebert D and Hall MD (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 282, 20142820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cressler CE, Nelson WA, Day T and McCauley E (2014) Starvation reveals the cause of infection-induced castration and gigantism. Proceedings of the Royal Society B: Biological Sciences 281, 20141087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cuco AP, Wolinska J, Santos JI, Abrantes N, Gonçalves FJM and Castro BB (2020) Can parasites adapt to pollutants? A multigenerational experiment with a Daphnia×Metschnikowia model system exposed to the fungicide tebuconazole. Aquatic Toxicology 226, 105584. [DOI] [PubMed] [Google Scholar]
- Desmarais KH and Tessier AJ (1999) Performance trade-off across a natural resource gradient. Oecologia 120, 137–146. [DOI] [PubMed] [Google Scholar]
- Dodson SL, Cáceres CE and Rogers DC (2010) Cladocera and other branchiopoda. In Thorp JH and Covich AP (eds), Ecology and Classification of North American Freshwater Invertebrates. San Diego, CA: Academic Press, pp. 773–827. [Google Scholar]
- Duffy MA (2007) Selective predation, parasitism, and trophic cascades in a bluegill-Daphnia-parasite system. Oecologia 153, 453–460. [DOI] [PubMed] [Google Scholar]
- Duffy MA (2009) Staying alive: the post-consumption fate of parasite spores and its implications for disease dynamics. Limnology and Oceanography 54, 770–773. [Google Scholar]
- Duffy MA and Hall SR (2008) Selective predation and rapid evolution can jointly dampen effects of virulent parasites on daphnia populations. The American Naturalist 171, 499–510. [DOI] [PubMed] [Google Scholar]
- Duffy MA and Sivars-Becker L (2007) Rapid evolution and ecological host–parasite dynamics. Ecology Letters 10, 44–53. [DOI] [PubMed] [Google Scholar]
- Duffy MA, Brassil CE, Hall SR, Tessier AJ, Cáceres CE and Conner JK (2008) Parasite-mediated disruptive selection in a natural Daphnia population. BMC Evolutionary Biology 8, 80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Duffy MA, Ochs JH, Penczykowski RM, Civitello DJ, Klausmeier CA and Hall SR (2012) Ecological context influences epidemic size and parasite-mediated selection. Science (New York, N.Y.) 335, 1636–1638. [DOI] [PubMed] [Google Scholar]
- Ebert D (2005) Ecology, Epidemiology and Evolution of Parasitism in Daphnia. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information. [Google Scholar]
- Excoffier L, Smouse PE and Quattro JM (1992) Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 131, 479–491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fisher MC, Bosch J, Yin Z, Stead DA, Walker J, Selway L, Brown AJP, Walker LA, Gow NAR, Stajich JE and Garner TWJ (2009) Proteomic and phenotypic profiling of the amphibian pathogen Batrachochytrium dendrobatidis shows that genotype is linked to virulence. Molecular Ecology 18, 415–429. [DOI] [PubMed] [Google Scholar]
- Gandon S (2004) Evolution of multihost parasites. Evolution 58, 455–469. [PubMed] [Google Scholar]
- Geller W and Müller H (1981) The filtration apparatus of cladocera: filter mesh-sizes and their implications on food selectivity. Oecologia 49, 316–321. [DOI] [PubMed] [Google Scholar]
- Green J (1974) Parasites and epibionts of Cladocera. Transactions of the Zoological Society of London 32, 417–515. [Google Scholar]
- Hall SR, Sivars-Becker L, Becker C, Duffy MA, Tessier AJ and Cáceres CE (2007) Eating yourself sick: transmission of disease as a function of feeding biology of hosts. Ecology Letters 10, 207–218. [DOI] [PubMed] [Google Scholar]
- Hall SR, Knight CM, Becker CR, Duffy MA, Tessier AJ and Cáceres CE (2009) Quality matters: resource quality for hosts and the timing of epidemics. Ecology Letters 12, 118–128. [DOI] [PubMed] [Google Scholar]
- Hall SR, Smyth R, Becker CR, Duffy MA, Knight CJ, MacIntyre S, Tessier AJ and Cáceres CE (2010) Why are Daphnia in some lakes sicker? Disease ecology, habitat structure, and the plankton. Bioscience 60, 363–375. [Google Scholar]
- Hawley DM, Osnas EE, Dobson AP, Hochachka WM, Ley DH and Dhondt AA (2013) Parallel patterns of increased virulence in a recently emerged wildlife pathogen. PLoS Biology 11, e1001570. [DOI] [PMC free article] [PubMed] [Google Scholar]
- James TY, Litvintseva AP, Vilgalys R, Morgan JAT, Taylor JW, Fisher MC, Berger L, Weldon C, du Preez L and Longcore JE (2009) Rapid global expansion of the fungal disease chytridiomycosis into declining and healthy amphibian populations. PLoS Pathogens 5, e1000458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kamvar ZN, Tabima JF and Grünwald NJ (2014) Poppr: an R package for genetic analysis of populations with clonal, partially clonal, and/or sexual reproduction. PeerJ 2, e281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koskella B (2014) Bacteria-phage interactions across time and space: merging local adaptation and time-shift experiments to understand phage evolution. The American Naturalist 184, S9–S21. [DOI] [PubMed] [Google Scholar]
- Lenth RV (2016) Least-squares means: the R package lsmeans. Journal of Statistical Software 69, 1–33. [Google Scholar]
- Leopardi S, Blake D and Puechmaille SJ (2015) White-nose syndrome fungus introduced from Europe to North America. Current Biology: CB 25, R217–R219. [DOI] [PubMed] [Google Scholar]
- Luijckx P, Ben-Ami F, Mouton L, Du Pasquier L and Ebert D (2011) Cloning of the unculturable parasite Pasteuria ramosa and its Daphnia host reveals extreme genotype–genotype interactions. Ecology Letters 14, 125–131. [DOI] [PubMed] [Google Scholar]
- Mahmud MA, Bradley JE and MacColl ADC (2017) Abiotic environmental variation drives virulence evolution in a fish host-parasite geographic mosaic. Functional Ecology 31, 2138–2146. [Google Scholar]
- Metcalf CJE, Birger RB, Funk S, Kouyos RD, Lloyd-Smith JO and Jansen VAA (2015) Five challenges in evolution and infectious diseases. Epidemics 10, 40–44. [DOI] [PubMed] [Google Scholar]
- Metschnikoff E (1884) Uber eine sprosspilzkrankheit der daphnien; beitrag zur lehre uber den kampf der phagozyten gegen krankheitserreger. Virchows Archiv 96, 177–195. [Google Scholar]
- Morrison LJ, McLellan S, Sweeney L, Chan CN, MacLeod A, Tait A and Turner CMR (2010) Role for parasite genetic diversity in differential host responses to Trypanosoma brucei infection. Infection and Immunity 78, 1096–1108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- O'Hanlon SJ, Rieux A, Farrer RA, Rosa GM, Waldman B, Bataille A, Kosch TA, Murray KA, Brankovics B, Fumagalli M, Martin MD, Wales N, Alvarado-Rybak M, Bates KA, Berger L, Böll S, Brookes L, Clare F, Courtois EA, Cunningham AA, Doherty-Bone TM, Ghosh P, Gower DJ, Hintz WE, Höglund J, Jenkinson TS, Lin C-F, Laurila A, Loyau A, Martel A, Meurling S, Miaud C, Minting P, Pasmans F, Schmeller DS, Schmidt BR, Shelton JMG, Skerratt LF, Smith F, Soto-Azat C, Spagnoletti M, Tessa G, Toledo LF, Valenzuela-Sánchez A, Verster R, Vörös J, Webb RJ, Wierzbicki C, Wombwell E, Zamudio KR, Aanensen DM, James TY, Gilbert MTP, Weldon C, Bosch J, Balloux F, Garner TWJ and Fisher MC (2018) Recent Asian origin of chytrid fungi causing global amphibian declines. Science (New York, N.Y.) 360, 621–627. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Penczykowski RM, Hall SR, Civitello DJ and Duffy MA (2014) Habitat structure and ecological drivers of disease. Limnology and Oceanography 59, 340–348. [Google Scholar]
- Penczykowski RM, Hall SR, Shocket MS, Ochs JH, Lemanski BCP, Sundar H and Duffy MA (2020). Virulent disease epidemics can increase host density by depressing foraging of hosts. bioRxiv doi:2020.07.06.189878. doi: 10.1101/2020.07.06.189878.. [DOI] [PubMed]
- Poulin R and George-Nascimento M (2007) The scaling of total parasite biomass with host body mass. International Journal for Parasitology 37, 359–364. [DOI] [PubMed] [Google Scholar]
- Ren P, Haman KH, Last LA, Rajkumar SS, Keel MK and Chaturvedi V (2012) Clonal spread of Geomyces destructans among bats, midwestern and southern United States. Emerging Infectious Diseases 18, 883–885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rogalski MA and Duffy MA (2020) Local adaptation of a parasite to solar radiation impacts disease transmission potential, spore yield, and host fecundity. Evolution 74, 1856–1864. [DOI] [PubMed] [Google Scholar]
- Rozen S and Skaletsky H (2000) Primer3 on the WWW for general users and for biologist programmers. In Misener S and Krawetz SA (eds), Bioinformatics Methods and Protocols, Methods in Molecular Biology™, Vol. 132. Totowa, NJ: Humana Press, pp. 365–386. [DOI] [PubMed] [Google Scholar]
- Schomaker RA, Dudycha JL and Kumar S (2021) De novo transcriptome assembly of the green alga Ankistrodesmus falcatus. PLOS ONE 16, e0251668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schwentner M, Combosch DJ, Pakes Nelson J and Giribet G (2017) A phylogenomic solution to the origin of insects by resolving crustacean-hexapod relationships. Current Biology 27, 1818–1824.e5. [DOI] [PubMed] [Google Scholar]
- Searle CL, Ochs JH, Cáceres CE, Chiang SL, Gerardo NM, Hall SR and Duffy MA (2015) Plasticity, not genetic variation, drives infection success of a fungal parasite. Parasitology 142, 839–848. [DOI] [PubMed] [Google Scholar]
- Seki H and Fulton J (1969) Infection of marine copepods by Metschnikowia sp. Mycopathologia et Mycologia Applicata 38, 61–70. [Google Scholar]
- Serna-Domínguez MG, Andrade-Michel GY, Rosas-Valdez R, Castro-Félix P, Arredondo-Bernal HC and Gallou A (2019) High genetic diversity of the entomopathogenic fungus Beauveria bassiana in Colima, Mexico. Journal of Invertebrate Pathology 163, 67–74. [DOI] [PubMed] [Google Scholar]
- Shaw CL, Hall SR, Overholt EP, Cáceres CE, Williamson CE and Duffy MA (2020) Shedding light on environmentally transmitted parasites: lighter conditions within lakes restrict epidemic size. Ecology 101, e03168. [DOI] [PubMed] [Google Scholar]
- Smith JM, Smith NH, O'Rourke M and Spratt BG (1993) How clonal are bacteria?. Proceedings of the National Academy of Sciences 90, 4384–4388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stewart Merrill TE and Cáceres CE (2018) Within-host complexity of a plankton-parasite interaction. Ecology 99, 2864–2867. [DOI] [PubMed] [Google Scholar]
- Stewart Merrill TE, Hall SR and Cáceres CE (2020) Parasite exposure and host susceptibility jointly drive the emergence of epidemics. Ecology 102, e03245. [DOI] [PubMed] [Google Scholar]
- Stirnadel HA and Ebert D (1997) Prevalence, host specificity and impact on host fecundity of microparasites and epibionts in three sympatric Daphnia species. Journal of Animal Ecology 66, 212–222. [Google Scholar]
- Strauss AT, Civitello DJ, Cáceres CE and Hall SR (2015) Success, failure and ambiguity of the dilution effect among competitors. Ecology Letters 18, 916–926. [DOI] [PubMed] [Google Scholar]
- Strauss AT, Shocket MS, Civitello DJ, Hite JL, Penczykowski RM, Duffy MA, Cáceres CE and Hall SR (2016) Habitat, predators, and hosts regulate disease in Daphnia through direct and indirect pathways. Ecological Monographs 86, 393–411. [Google Scholar]
- Tack AJM, Hakala J, Petäjä T, Kulmala M and Laine A-L (2014) Genotype and spatial structure shape pathogen dispersal and disease dynamics at small spatial scales. Ecology 95, 703–714. [DOI] [PubMed] [Google Scholar]
- Tessier AJ and Woodruff P (2002) Cryptic trophic cascade along a gradient of lake size. Ecology 83, 1263–1270. [Google Scholar]
- Thiel T (2003) MISA—Microsatellite identification tool.
- Thompson RC and Lymbery AJ (1990) Intraspecific variation in parasites: what is a strain? Parasitology Today 6, 345–348. [DOI] [PubMed] [Google Scholar]
- Thrall PH, Laine A-L, Ravensdale M, Nemri A, Dodds PN, Barrett LG and Burdon JJ (2012) Rapid genetic change underpins antagonistic coevolution in a natural host-pathogen metapopulation. Ecology Letters 15, 425–435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weiser J, Wegensteiner R, Händel U and Zizka Z (2003) Infections with the ascomycete fungus Metschnikowia typographi sp.nov. in the bark beetles Ips typographus and Ips amitinus (Coleoptera, Scolytidae). Folia Microbiologica 48, 611–618. [DOI] [PubMed] [Google Scholar]
- Wolinska J, Giessler S and Koerner H (2009) Molecular identification and hidden diversity of novel daphnia parasites from European lakes. Applied and Environmental Microbiology 75, 7051–7059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wright S (1978) Evolution and the Genetics of Populations, Vol. 4. Chicago, USA: University of Chicago Press. [Google Scholar]
- Wuest CE, Harrington TC, Fraedrich SW, Yun H-Y and Lu S-S (2017) Genetic variation in native populations of the Laurel Wilt Pathogen, Raffaelea lauricola, in Taiwan and Japan and the introduced population in the United States. Plant Disease 101, 619–628. [DOI] [PubMed] [Google Scholar]
- Yaman M and Radek R (2008) Identification, distribution and occurrence of the ascomycete Metschnikowia typographi in the great spruce bark beetle, Dendroctonus micans. Folia Microbiologica 53, 427. [DOI] [PubMed] [Google Scholar]
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