INTRODUCTION
Complex life cycles with multiple hosts and life stages have evolved in numerous lineages of parasites (Choisy et al. Reference Choisy, Brown, Lafferty and Thomas2003). Each transmission event to a subsequent host presents an obstacle for completion of the life cycle (Kearn, Reference Kearn1998; Choisy et al. Reference Choisy, Brown, Lafferty and Thomas2003). In response to the selective pressures of transmission to the next host, trematodes have evolved various adaptations, including high fecundity, efficient host-finding mechanisms, extended longevity within intermediate hosts, and the ability to alter host behaviour (Combes, Reference Combes1991; Poulin, Reference Poulin1995; Moore, Reference Moore2002; Parker et al. Reference Parker, Chubb, Ball and Roberts2003; Poulin, Reference Poulin2007). Another adaptation is to truncate the life cycle via progenesis, i.e. precocious maturity in the second intermediate host (Poulin, Reference Poulin2001; Poulin and Cribb, Reference Poulin and Cribb2002). Progenetic trematodes reproduce via self-fertilization and produce eggs within the metacercarial cyst, eliminating the need for transmission to a definitive host. Progenesis has evolved in numerous parasite lineages and can be obligatory or facultative, with individuals in the same population adopting either life cycle strategy, the ‘normal’ 3-host or the abbreviated cycle (Poulin and Cribb, Reference Poulin and Cribb2002; Lefebvre and Poulin, Reference Lefebvre and Poulin2005). The plasticity of facultative progenesis is likely to be advantageous when the probability of transmission to the definitive host is low (Poulin and Cribb, Reference Poulin and Cribb2002), allowing for reproduction in unpredictable or unstable environments. Previous studies have dmonstrated that the plasticity of progenesis is driven by a variety of environmental factors, such as cues from the definitive host, age of the current intermediate host, encystment site, intra-host competition and genetic-relatedness of co-infecting parasites (Poulin, Reference Poulin2003; Lagrue and Poulin, Reference Lagrue and Poulin2007, Reference Lagrue and Poulin2008, 2009; Poulin and Lefebvre, Reference Poulin and Lefebvre2006; Lagrue et al. Reference Lagrue, Poulin and Keeney2009). This shows that some parasites are capable of perceiving a wide range of cues and accurately adjusting their reproductive strategy according to their transmission opportunities.
For Stegodexamene anguillae (Lepocreadiidae), the typical 3-host life cycle begins with ciliated miracidia hatching from eggs and infecting a snail, Potamopyrgus antipodarum, as the first intermediate host. Within the snail, asexual reproduction occurs and results in numerous cercariae, which leave this first host and search for the second intermediate host, small freshwater fish, mostly Gobiomorphus and Galaxias spp. (Macfarlane, Reference Macfarlane1951, Reference Macfarlane1952). After penetrating the fish host, cercariae encyst as metacercariae. At this point, metacercariae can either await ingestion by a definitive host, Anguilla dieffenbachia (New Zealand longfin eel) or A. australis (short-finned eel), develop into adults and sexually reproduce, or develop progenetically into the adult stage and reproduce by self-fertilization within the tissue of the second intermediate host (Macfarlane, Reference Macfarlane1951; Holton, Reference Holton1984). The progenetic strategy allows the trematode to bypass transmission to the eel definitive host.
The major challenge of progenesis is the release of eggs into the environment from inside a second intermediate host (Poulin and Cribb, Reference Poulin and Cribb2002). For most progenetic species this may entail waiting for the host to die, either naturally followed by decay or by predation. However, S. anguillae may have evolved a solution to this problem. Macfarlane (Reference Macfarlane1951) only found progenetic worms in Gobiomorphus cotidianus (common bully) 3–4 cm in size, indicating worms are more likely to undergo progenesis in bullies of reproductive age. Additionally, Poulin and Lefebvre (Reference Poulin and Lefebvre2006) found the gonads of the fish second intermediate host to harbour a greater proportion of progenetic worms than other tissue, and suggested that eggs of S. anguillae are released when the intermediate fish host spawns.
The present study examines temporal variation in environmental variables, both biotic and abiotic, related to the probability of transmission and the growth, development and reproduction of S. anguillae metacercariae. The main objective was to investigate the possible relationship between the occurrence of progenesis and the reproductive cycle of the second intermediate host, common bully, using water temperature and day length as variables correlated with fish reproduction. This is one of few studies investigating the plasticity of parasite reproductive strategies under natural conditions, aiming specifically to relate peaks in progenesis with seasonal opportunities for the exit of eggs of progenetic worms.
MATERIALS AND METHODS
Animal collection
In total, 13 monthly samples were collected between September 2008 and September 2009 in Lake Waihola, South Island, New Zealand (46º00′S, 170º06′E). Lake Waihola is a shallow, eutrophic coastal lake (Schallenberg and Burns, Reference Schallenberg and Burns2003). Common bullies have been reported as a dominant fish species in Lake Waihola (Kattel, Reference Kattel1999; Jeppesen et al. Reference Jeppesen, Lauridsen, Mitchell, Christoffersen and Burns2000) and are the main second intermediate host in the lake. In the breeding season, females spawn twice, and some possibly 3 times, from September through March (Stephens, Reference Stephens1982). Collection days occurred within 1 week of the first day of each month from the same site, under similar weather conditions (light or no winds) and at low tide (connected to sea via river) to reduce variation. Relative bully abundance was measured by counting the numbers of fish captured using a seine net to enclose a fixed area (7·0 m2) and push nets (mesh size 5 mm) to catch the fish. Any remaining fish were captured when retrieving the seine net. Common bullies ⩾4 cm in total length (reproductive age; Stephens, Reference Stephens1982) were kept, while those <4 cm were released. If less than 20 bullies ⩾4 cm in size were captured, an electric fishing machine, a seine net and/or push nets were then used to obtain 20 bullies in total. Water temperature was recorded on each collection date. Fish were transported to the laboratory, euthanized by an overdose of tricaine methanesulfonate (MS-222), and frozen until dissection.
Measures and statistical analyses
Total length, weight and sex of each fish were recorded. Fish body condition was determined by W/L3, where W and L are the weight and total length (Bolger and Connolly, Reference Bolger and Connolly1989). Fish were dissected, and all tissues, except the brain and the lumen of the gastrointestinal tract (where metacercariae of S. anguillae are never found), were examined for S. anguillae as well as other parasites. All S. anguillae worms were individually removed from their cysts and classified as progenetic (eggs present), non-progenetic (no eggs present) or non-progenetic but with visible vitellaria (no eggs present but well-developed yolk-producing glands). The body surface of each worm was calculated as a surrogate for body size by using the formula for area of an ellipsoid, (πLW)/4, where L and W are the length and width of the parasite; the latter measurements were taken under a dissecting microscope (80X). If the worm was progenetic, all eggs expelled from the worm and free within the cyst were counted. Length (L) and width (W) of a random subsample of 10 eggs from each progenetic worm were measured, and assuming a regular ellipsoid shape, egg volume was calculated as (πLW2)/6. The coefficient of variation in egg volume was calculated as the mean egg volume divided by the standard deviation. Variation in the sex ratio of fish hosts among sampling dates was assessed with an ANOVA. Differences in fish length between sexes were assessed with a t-test.
Six response variables were assessed using Generalized Linear Mixed Models (GLMM) within an Akaike information criteria (AIC) and model averaging framework (Burnham and Anderson, Reference Burnham and Anderson2002; see Table 1). First, progenesis in all tissues was the response variable in a GLMM fitted with a binomial error structure. Factors possibly influencing the parasite's developmental strategy i.e. non-progenetic (including worms with vitellaria) versus progenetic, were included in the GLMM to determine the effect of difference in daylight (a surrogate for date that is biologically relevant to fish reproduction) between the collection date and the previous collection date, mid-point of relative bully abundance between the collection date and the previous collection date, mid-point of water temperature between the collection date and the previous collection date, host body condition, host total length, host sex, encystment site (muscle, head, body cavity, or gonads), mean abundance of conspecifics and mean abundance of two other common species of trematode metacercariae (Telogaster opisthorchis and Apatemon sp.). The interaction between difference in daylight and host sex was included to assess any change in the effect of host sex over time (Table 1). Interactions between host sex and encystment site and between host sex and temperature were included preliminarily, however inclusion of these interactions resulted in similar model averaging and thus were not retained in order to achieve a simpler global model. Individual fish identity was added as a random factor to account for many S. anguillae sharing the same host individual. This set of variables was also used in the following analyses in addition to any other specified (Table 1). Second, another GLMM fitted with a binomial error structure was performed on developmental strategy using only the subset of S. anguillae worms found in the gonads, and thus, encystment site was removed from the variable set. Third, worm size data were log-transformed to approach normality and were used as response variable in a GLMM fitted with the Gaussian (normal) distribution. All predictors in the progenesis GLMM were included with the addition of developmental strategy (non-progenetic, vitellaria-present and progenetic). Fourth, those same predictor variables were included in a GLMM, fitted with a quasi-Poisson distribution, on number of eggs expelled per progenetic worm as the response variable with the addition of worm size as an extra factor. Fifth, a GLMM with mean egg volume per progenetic worm as response variable included the additional factors of worm size and number of eggs expelled and was fitted with a Gaussian distribution. Finally, the coefficient of variation in mean egg volume was a response variable in a GLMM, fitted with the Gaussian distribution, and included the additional factors of worm size, number of eggs expelled and mean egg volume.
Global models were fitted using the package lme4 (Bates and Maechler, Reference Bates and Maechler2009) in the program R (R Development Core Team, 2009). The global model was then used to generate a set of all possible models, with functions from the R package MuMIn (Bartoñ, Reference Bartoñ2009). Each model in the set was ranked by AICC and model averaging using MuMIn was performed on all models within 2 AICC of the best model. There was no difference in the final results if model averaging was done on models within 8 AICC of the best model. In the analysis on number of eggs expelled using a quasi-Poisson distribution, QAICC was used to rank the models. The predictor variables in the top models are reported with their relative importance weights, model-averaged parameter estimates, unconditional standard error and 95% confidence intervals. When only one top model emerged, that model is reported.
RESULTS
In total, 247 common bullies were collected, from which 4941 S. anguillae worms were measured (Table 2). The host sex ratio varied among the monthly samples (F12,242=2·24, P=0·011; Table 2). Fish length did not differ between sexes (t=0·86, d.f.=240, P=0·390). The average total length was 5·0±0·09 cm and 4·9±0·06 cm for females and males, respectively, and total length ranged from 3·9 to 7·4 cm for both sexes. Relative abundance of bullies at the collection site peaked sharply in January (Fig. 1a). Water temperature varied between 4·3°C and 18·1°C on the August and February collection dates, respectively (Fig. 1a).
Prevalence was 100%, except for the January collection when prevalence was 95·0%. The mean abundance (± s.e.) of S. anguillae varied from the lowest in May at 7·7±1·11 per fish to highest in October at 52·2±11·05 (Fig 1b.). On average, progenetic worms comprised 13·9% of all S. anguillae worms, ranging from 10·2±2·27 to 28·5±0·04% in October and February, respectively (Fig. 1c). When all worms were considered, model analysis on progenesis resulted in 16 top models within 2 AICC of the best model (Table 3). With the exception of the difference in daylight and host sex interaction, all other explanatory variables considered in the global model were included in at least 1 model in the top model set, with encystment site as the only predictor variable with a 95% confidence interval bounded away from zero (Tables 3 and 4). There was a greater proportion of progenetic worms in the body cavity and the gonads than in the muscle, which was no different than the head (Fig. 2a).
Analysis of the subset of worms in the gonads showed a mean abundance (± s.e.) of S. anguillae being highest in March (7·3±2·27) and decreasing in May (1·9±0·33; Fig. 1b). The percentage of progenetic worms in the gonads varied from 27·2±7·96 to 61·5±7·77% in June and November, respectively (Fig. 1c). The top models included 12 models (Table 3), again retaining all predictor variables from the global model except for the interaction between difference in daylight and host sex (Table 4). Host sex emerged as the most robust variable affecting progenesis in worms in the gonads indicated by both a relative importance weight of 1·00 and a 95% confidence interval bounded away from zero (Table 4). Worms in the gonads of female fish were more likely to be progenetic than those in the gonads of a male (Fig. 3a). The confidence intervals of 2 other variables, difference in daylight and water temperature, did not include zero but had lower relative importance weights. Progenesis in the gonads increased when the difference in daylight since the previous collection date also increased (Fig. 3b) and with increasing water temperature (Fig. 3c).
Mean worm size (± s.e.) was 0·41±0·006 mm2 for all worms but varied widely from 0·01 to 3·50 mm2. Only one top model emerged (Table 3), with a difference of over 19 AICC to the next closest ranking model. Developmental stage and encystment site were the only predictors in this top model explaining worm size (Table 4). Worms increased in size as they developed from non-progenetic to progenetic; those worms with well-developed vitellaria were of intermediate size (Fig. 2b). Worms encysted in the body cavity and gonads grew to larger sizes than those in the muscle (Fig. 2b).
The mean (± s.e.) number of eggs expelled by progenetic worms was 229·8±10·81 and ranged from zero (from those worms with eggs in utero only) to 1413. Four top models emerged within 2 QAICC of the top model (Table 3). Worm size and host body condition were included in all 4 models; however, neither variable had a 95% confidence interval bounded away from zero (Table 4). Host sex, abundance of Apatemon sp. and abundance of T. opisthorchis were each included in one model in the top model set, but all included zero in the 95% confidence interval (Tables 3 and 4).
The mean (± s.e.) egg volume was 8·3e-05±7·21e-07 mm3 (n=4877). The intercept-only model emerged as the top model with the next closest model differing by over 23 AICC (Table 3). None of the variables measured explain the variation in egg size. However, the coefficient of variation in egg volume is explained by egg volume as the only predictor in the one top model (Tables 3 and 4). The next closest model differed by over 8 AICC. As mean egg size increased the coefficient of variation tended to decrease (Fig. 4).
DISCUSSION
Parasites showing plasticity in developmental strategies increase the probability of completing their life cycle. Facultative life-cycle abbreviation enables progenetic species to respond to environmental variability and reproduce when the probability of transmission to a definitive host is low (Lefebvre and Poulin, Reference Lefebvre and Poulin2005; Lagrue and Poulin, Reference Lagrue and Poulin2007). Poulin and Lefebvre (Reference Poulin and Lefebvre2006) suggested that progenetic S. anguillae in fish gonads would be expelled during spawning. Thus S. anguillae should benefit by adjusting its reproductive strategy according to encystment site and relative to the reproductive season of its second intermediate fish host.
When investigating progenesis in all worms throughout the fish's body, only the encystment site accounted for developmental strategy. Worms in the body cavity and gonads were far more likely to adopt the progenetic strategy, supporting findings by Poulin and Lefebvre (Reference Poulin and Lefebvre2006) of a greater proportion of progenetic worms in the gonads. These tissues may provide better nutritive resources for absorption by worms for growth, development and reproduction than muscle tissue (Poulin, Reference Poulin1997). Indeed, worm size was also affected by encystment site, with worms in the body cavity and gonads growing to larger sizes than those in the muscle independently of their developmental strategy, which affected worm size as well. Worms grew larger as they matured from non-progenetic to developing vitellaria to producing eggs, with those reproducing reaching sizes similar to adults found in eels (Macfarlane, Reference Macfarlane1951). Progenetic individuals in other trematode species also reach sizes comparable to those of adults in definitive hosts (Lagrue and Poulin, Reference Lagrue and Poulin2007).
In addition to supplying ample resources, the gonads also provide an exit for eggs of progenetic worms. Progenetic cysts are similar in size and shape to fish eggs, and those encysting in the gonads would be released during spawning (Lefebvre and Poulin, Reference Lefebvre and Poulin2005; Poulin and Lefebvre, Reference Poulin and Lefebvre2006). In contrast, progenetic worms found elsewhere have to wait for the bully host to die, either naturally followed by decay or through predation, to be released into the environment (Poulin and Cribb, Reference Poulin and Cribb2002; McLaughlin et al. Reference McLaughlin, Marcogliese and Kelly2006). However, fish spawning should not equally affect all worms throughout the host but only those found in the gonads. In fact, model analysis on the subset of worms in the gonads showed that host sex, water temperature and daylight time affect progenesis in those worms encysted in the gonads. As water temperature and day length increased, so did the proportion of progenetic worms in the gonads. Both water temperature and day length are important factors correlated with the reproductive cycle of fish (e.g. Bullough, Reference Bullough1939; Siefert, Reference Siefert1968; Billard and Breton, Reference Billard, Breton and Thorpe1978; Huber and Bengston, Reference Huber and Bengtson1999; Davies and Bromage, Reference Davies and Bromage2002), suggesting that S. anguillae worms encysted in the gonads are developing in response to cues related to their host's reproductive cycle. The frequency of progenesis has been shown to increase with increasing temperature under experimental conditions (Herrmann and Poulin, Reference Herrmann and Poulin2011). However, this effect is assumed to operate indirectly via fish host stress because temperature is a significant factor in fish longevity (Herrmann and Poulin, Reference Herrmann and Poulin2011). Further, since temperature did not explain progenesis in worms encysted in other tissues besides the gonads, it is unlikely that temperature directly affects progenesis. Alternatively, parasites are known to respond in growth, differentiation and reproduction to a variety of physiological cues within their host (Thomas et al. Reference Thomas, Brown, Sukhdeo and Renaud2002; Escobedo et al. Reference Escobedo, Roberts, Carrero and Morales-Montor2005), and S. anguillae may be using the changes in hormones during the bully reproductive cycle as a signal for development.
Further, worms were more likely to become progenetic if encysted in female ovaries rather than in male testes. Female gonads provide a definite exit for progenetic worms and their eggs, whereas worms encysted in male gonads may be unlikely to pass through the vas deferens and exit the fish because of their size. The progenetic strategy is highly advantageous for those worms encysted in female ovaries because worms that do not develop would also be expelled during a spawning event and die without reproducing. Common bullies spawn twice during the reproductive season, with females first spawning around September and a second spawning from October through March (Stephens, Reference Stephens1982). A decrease in mean abundance of S. anguillae in gonads was not observed during the bully host reproductive season, most likely due to new infections acquired at the same time. However, progenesis in worms in the gonads showed a decreasing trend through the bully reproductive season and into winter followed by an increase prior to the next reproductive season. This suggests that S. anguillae worms within the gonads are exploiting cues related to the likelihood of being expelled during host spawning and reproducing prior to the time when the probability of being released from the host is high.
Individuals of progenetic species are typically encysted in muscle tissue or inside the body cavity of the second intermediate host and must await host death in order for their eggs to be released into the environment (Macy and Basch, Reference Macy and Basch1972; Poulin and Cribb, Reference Poulin and Cribb2002; Lefebvre and Poulin, Reference Lefebvre and Poulin2005; McLaughlin et al. Reference McLaughlin, Marcogliese and Kelly2006). Stegodexamene anguillae has solved this problem, and similarly, a few other progenetic species have evolved other mechanisms to overcome this obstacle. For instance, high virulence in Aphalloides coelomicola, and its association with a tissue-liquefying myxozoan, allows acceleration of host death and thus release of the parasite's eggs (Pampoulie et al. Reference Pampoulie, Morand, Lambert, Rosecchi, Bouchereau and Crivelli1999, Reference Pampoulie, Lambert, Rosecchi, Crivelli, Bouchereau and Morand2000). Metacercariae of Alloglossidium macrobdellensis migrate to the intestinal lumen of the second intermediate host and then begin progenetic reproduction, allowing eggs to be passed into the environment along with host faeces (Corkum and Berkerdite, Reference Corkum and Beckerdite1975). The progenetic cysts of Coitocaecum anaspidis easily burst within its crustacean host, and eggs disperse throughout the body via the haemolymph, causing blockage and resulting in deterioration of appendages thereby releasing the eggs into the water (Hickman, Reference Hickman1934). There may be many more strategies for egg dispersal in progenetic species that have yet to be discovered.
None of the variables measured in this study affected the number of eggs produced or the size of those eggs. However, the number of eggs produced by progenetic S. anguillae was unexpected. Progenetic worms are thought to be less fecund, limited to 100–200 eggs, than worms reproducing in the definitive host (Poulin and Cribb, Reference Poulin and Cribb2002; Lagrue and Poulin, Reference Lagrue and Poulin2008). For S. anguillae, the mean number of eggs produced by progenetic worms was greater than 200 with one worm producing over 1400 eggs. Still, this may be less than the thousands of eggs an adult within an eel may produce. Moreover, worms that produced larger eggs produced eggs of consistent size; those that produced smaller eggs produced eggs of varying size. Progenetic S. anguillae producing large eggs may be better at exploiting host resources consistently and produce eggs of similar size, whereas those producing smaller eggs of varying sizes may be investing differentially among eggs due to variability in resource availability within the host (Poulin and Hamilton, Reference Poulin and Hamilton2000). An alternative possibility is that variation in egg size and mean egg size are only spuriously correlated, since one is derived from the other, although there is no solid statistical reason to dismiss a biological explanation on that basis alone (Prairie and Bird, Reference Prairie and Bird1989).
In conclusion, being expelled from the host during spawning exerts strong selective pressure for those worms encysting in female ovaries. It is highly advantageous for S. anguillae to adjust its reproductive strategy according to its probability of being expelled from the second intermediate host before being transmitted to the definitive host. Here, the results show that S. anguillae is capable of accurate adjustments in its reproductive strategy based on encystment site, as well as environmental factors related to the reproductive cycle of its second intermediate host. For progenetic species reproducing within the tissues of a second intermediate host, egg dispersal is the major reproductive challenge (Poulin and Cribb, Reference Poulin and Cribb2002). However, progenetic S. anguillae may be exploiting their host's reproduction as an exit strategy for their eggs. These results demonstrate the adaptive plasticity of reproductive strategies in S. anguillae depending on its host's reproductive cycle.
ACKNOWLEDGEMENTS
We thank K. Garrett and A. Koehler for field assistance, C. Winkworth for laboratory assistance, and members of the Evolutionary and Ecological Parasitology Research Group at the University of Otago for providing feedback on earlier versions of this paper. Handling and treatment of animals in this study was approved by the University of Otago's Animal Ethics Committee (Application No. 15/08).
FINANCIAL SUPPORT
This research was funded by the Department of Zoology, University of Otago. K.K.H. was supported by the University of Otago Doctoral Scholarship.