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Article

Copepod Prey Selection and Grazing Efficiency Mediated by Chemical and Morphological Defensive Traits of Cyanobacteria

by
Luciana M. Rangel
1,
Lúcia H. S. Silva
1,
Elisabeth J. Faassen
2,3,
Miquel Lürling
3,* and
Kemal Ali Ger
4,*
1
Laboratório de Ficologia, Museu Nacional, Departamento de Botânica, Universidade Federal do Rio de Janeiro, 20940-040 Rio de Janeiro, Brazil
2
Wageningen Food Safety Research, Wageningen Research, Akkermaalsbos 2, 6708 WB Wageningen, The Netherlands
3
Department of Environmental Sciences, Aquatic Ecology and Water Quality Management Group, Wageningen University, Droevendaalsesteeg 3a, 6708 PB Wageningen, The Netherlands
4
Center for Coastal Limnological and Marine Studies (CECLIMAR), Campus Litoral Norte, Universidade Federal de Rio Grande de Sul, 95625-000 Imbé, Brazil
*
Authors to whom correspondence should be addressed.
Toxins 2020, 12(7), 465; https://doi.org/10.3390/toxins12070465
Submission received: 30 May 2020 / Revised: 13 July 2020 / Accepted: 17 July 2020 / Published: 21 July 2020
(This article belongs to the Section Marine and Freshwater Toxins)
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Abstract

:
Phytoplankton anti-grazer traits control zooplankton grazing and are associated with harmful blooms. Yet, how morphological versus chemical phytoplankton defenses regulate zooplankton grazing is poorly understood. We compared zooplankton grazing and prey selection by contrasting morphological (filament length: short vs. long) and chemical (saxitoxin: STX- vs. STX+) traits of a bloom-forming cyanobacterium (Raphidiopsis) offered at different concentrations in mixed diets with an edible phytoplankton to a copepod grazer. The copepod selectively grazed on the edible prey (avoidance of cyanobacteria) even when the cyanobacterium was dominant. Avoidance of the cyanobacterium was weakest for the “short STX-” filaments and strongest for the other three strains. Hence, filament size had an effect on cyanobacterial avoidance only in the STX- treatments, while toxin production significantly increased cyanobacterial avoidance regardless of filament size. Moreover, cyanobacterial dominance reduced grazing on the edible prey by almost 50%. Results emphasize that the dominance of filamentous cyanobacteria such as Raphidiopsis can interfere with copepod grazing in a trait specific manner. For cyanobacteria, toxin production may be more effective than filament size as an anti-grazer defense against selectively grazing zooplankton such as copepods. Our results highlight how multiple phytoplankton defensive traits interact to regulate the producer-consumer link in plankton ecosystems.
Keywords:
cyanotoxin; harmful algal bloom; neurotoxin; predator defense; functional trait
Key Contribution: Copepods avoided the cyanobacterium Raphidiopsis in a trait-specific manner in which toxin production may be a more effective defense compared to filament size. Moreover, dominance of Raphidiopsis inhibited copepod grazing on edible prey despite selective grazing behavior.

1. Introduction

Anti-grazer defenses of phytoplankton regulate the structure and function of aquatic ecosystems and are associated with the accumulation of toxic or otherwise harmful blooms [1,2,3]. Bloom-forming cyanobacteria are abundant in estuarine and freshwater ecosystems, and cause economic, environmental, and public health problems globally [4,5]. Harmful cyanobacterial blooms are predicted to increase in occurrence, duration, and magnitude due to anthropogenic eutrophication and global climate change [6,7]. Ecologically, such blooms uncouple the link between primary producers and zooplankton consumers, and therefore inhibit the transfer of carbon and energy to higher trophic levels [8,9].
Reduced zooplankton grazing on bloom-forming cyanobacteria has been linked to putative anti-grazer defenses such as morphological (e.g., filament or colony formation) or chemical (e.g., toxin production) traits [10,11]. High-density blooms usually consist of large-sized filaments or colonies, which are morphological traits that can act as mechanical grazing deterrents [12,13]. In addition to morphologic defenses, several species and strains produce toxic compounds [14,15], including neurotoxins, which may also act as chemical anti-grazer defenses [16,17]. Many bloom-forming cyanobacteria species show high phenotypic plasticity in these defensive traits [18,19,20]. Yet, most work on cyanobacteria grazing is done with cultured unicellular Microcystis as the model species, which limits knowledge on the effects of morphological defenses [12,21]. Little is known, therefore, about the effect of multiple trait variability (e.g., chemical and morphological) on grazing losses, which may be a key regulator of cyanobacterial blooms.
Grazing selectivity is a key functional trait that mediates the response of zooplankton to phytoplankton defenses [22,23]. Active selection occurs when a grazer can choose among different prey items and when grazing on a given prey is different than what would be expected based on its relative abundance [24]. In contrast, generalist grazers non-selectively ingest all prey in within the edible size range at rates proportional to the relative abundance of each prey [25].
Cyanobacterial blooms in freshwaters typically lead to the exclusion of large generalist grazers, which are often replaced by smaller and selectively grazing copepods [21,26,27]. Both toxin production and filamentous morphology have negative effects on large and generalist grazers such as Daphnia either via toxin exposure or feeding inhibition [12,13,28,29]. In contrast, selectively feeding copepods are better adapted to avoid lower quality prey and can overcome toxin exposure by grazing on edible prey [30,31,32]. Moreover, positive selection by copepods for edible phytoplankton may promote blooms of inedible or toxic phytoplankton [33,34] including cyanobacteria [35]. Thus, understanding the role of cyanobacterial defensive traits on copepod grazing and prey selection is necessary to predict the ecology of blooms.
The bloom-forming cyanobacterium Raphidiopsis raciborskii (formerly Cylindrospermopsis) is increasingly reported in freshwater systems globally [36,37,38,39]. This species is characterized by solitary free-floating filaments [40,41], with significant filament length variability of ~2 orders of magnitude in natural populations and isolated strains maintained in laboratory conditions [18,42,43]. The toxicity of Raphidiopsis blooms is also variable and some strains can produce neurotoxins such as saxitoxins (STX) or cyanotoxins such as cylindrospermopsin (CYN) [37,43,44,45]. Considering high Raphidiopsis genotype or phenotype variability in nature, how morphological versus chemical defenses affects prey selection in copepods—the dominant grazer during blooms of this cyanobacterium—remains unknown [27,46,47,48,49].
A major obstacle in understanding the role of phytoplankton defensive traits arises because most experiments consider single trait variation even though several defensive traits may exist for a given species. For example, copepods are known to graze on Raphidiopsis, and chemical traits (toxins such as STX and CYN) have been linked to lower grazing rates [48,50]. Yet, the role of filament size was not established in these experiments. In a recent experiment, we compared the relative role of chemical (i.e., absence or presence of STX) versus morphological (i.e., different filament lengths) defenses on copepod grazing using pure diets of Raphidiopsis [51]. This experiment showed that both filament size and STX content reduced grazing pressure though the latter was more important. This was, however, a preliminary step for testing both defensive traits, and the observation was based on assays with single-prey diets that hardly represent natural conditions where edible prey is available [21,52].
Accordingly, here we build on the work of Rangel et al. [51] in a parallel study by testing the effect of Raphidiopsis grazer defenses on copepod prey selection in the presence of edible prey. Specifically, we compared the effect of morphological (filament size: long vs. short) and chemical (saxitoxin producing vs. non-producing) defenses of Raphidiopsis on copepod grazing and prey selection across a gradient of the cyanobacterium offered in mixed diets with edible prey to a common Eurasian copepod (Eudiaptomus gracilis). We asked how each defensive trait would change copepod grazing and hypothesized that the copepod (1) would positively select the edible prey over the cyanobacteria; (2) have stronger avoidance of the toxic or longer cyanobacteria filaments; and that 3) increased cyanobacterial dominance would not interfere with the grazing of edible prey.

2. Results

2.1. Functional Response

The copepod grazed on all prey in the single diet experiments, but at different rates (Figure 1). Clearance rates (CR) were different among prey types and grazing on Chlamydomonas was significantly higher (by a factor of 3–10×) compared to all the other types of the cyanobacteria across all prey concentrations (Table 1A). Among the Raphidiopsis diets, CRR was significantly higher for the short STX- strain, while grazing on all three other strains were similar (Table 1B). Mean CR on the edible prey Chlamydomonas (CRC) followed a type-3 functional response as it increased with higher prey concentration and peaked at 0.5 mg C L−1. In contrast, mean CR on Raphidiopsis (CRR) was low throughout different prey concentrations (Figure 1).

2.2. Grazing on Mixed Diets

The copepod grazed between 2 and 10× more Chlamydomonas than Raphidiosis (Figure 2) and CRR was significantly less than CRC across all treatments (p < 0.001). The effect of filament size (short vs. long), toxin production (STX+ vs. STX-), and dietary proportion of Raphidiopsis (%R) on prey specific grazing rates is shown in Table 2. Grazing on the cyanobacterium (CRR) was significantly reduced by a factor of 3–6× with the STX+ or longer filaments compared to the short STX- treatment (Table 2A). Furthermore, increased dietary proportion of Raphidiopsis had a significant positive effect on how much this prey was grazed (i.e., CRR).
These effects of filament size, toxin production, and dietary proportion of Raphidiopsis on CRR, however, were not observed when the short STX- strain was removed from the analysis. Indeed, the copepod grazed similarly, albeit at very reduced rates (Figure 2A), on the other three Raphidiopsis treatments without any effect of filament size (p = 0.226), toxin production (p = 0.551), or %R (p = 0.517). Hence, the effect of filament size on CRR was limited to the strains that did not produce saxitoxin (STX-). Taken together, toxin production and longer filament size both reduced grazing on the cyanobacterium but the effect of filament size was secondary to that of toxin production (i.e., only observed when comparing among the STX- strains).
Grazing on Chlamydomonas (CRC) was similar in diets with contrasting cyanobacterial defensive traits (Figure 2B), and neither filament size nor STX production had a significant effect on the CRC (Table 2B). Yet, increasing dietary proportion of Raphidiopsis significantly reduced CRC (Table 2B). Consequently, the overall total clearance rate (i.e., CRTotal = CRR + CRC) was also inversely proportional to the relative dominance of the cyanobacterium, which had a significant negative effect on overall grazing rates (Figure 2C, Table 2C). The short STX- treatment, however, was an exception. When analyzed without the other treatments, total clearance rate in the short STX- treatment was only marginally affected by the relative dominance of Raphidiopsis (p = 0.077). In contrast, for the long STX-, short STX+, and long STX+ treatments, the relative dominance of Raphidiopsis had a significant negative effect on CRTotal. Thus, the effect of the relative dominance of the cyanobacterium on CRTotal was strain-specific (Table 2D). Moreover, although CRTotal declined significantly in treatments with the STX+ strains (Figure 2C, Table 2C), this effect was not observed when the short STX- treatment data was removed from the analysis (Table 2D). Overall, both defensive traits (filament size and toxin production) significantly affected copepod grazing on the cyanobacterium (CRR), but not the ingestion of the edible prey (i.e., CRC). The latter, however, was negatively affected by cyanobacterial dominance.

2.3. Copepod Prey Selection: The Selectivity Coefficient for Raphidiopsis (αR)

In all treatments, the copepod positively selected the edible prey Chlamydomonas, and actively avoided Raphidiopsis (Figure 3, αR < 0.5, see methods for details). Yet, copepods in the short STX- treatments showed the weakest avoidance of the cyanobacterium as indicated by the significantly higher αR between 0.15 and0.27 (Figure 3, Table 3A). In contrast, copepods avoided the other three strains of the cyanobacterium more strongly as shown by the significantly lower αR values below 0.12. Hence, selective avoidance was weakest for the short STX- filaments and strongest for the other three cyanobacterial strains. Notably, the effects of the defensive traits (STX or filament size) on grazing selectivity was not observed when the short STX- strain was removed from the analysis (Table 3B). Hence, the copepod strongly avoided the long STX-, short STX+, and long STX+ strains but did so at similar efficiency. Filament size, therefore, had an effect on cyanobacterial avoidance only in the absence of toxin (i.e., STX- treatments). Toxin content, however, significantly increased cyanobacterial avoidance (i.e., reduced αR) in both short and long filament size treatments (Table 3). Finally, increasing cyanobacterial dominance reduced the selectivity coefficient regardless of their defensive traits (Figure 3, Table 3).

3. Discussion

We compared the role of phytoplankton defensive traits (i.e., morphological vs. chemical) on copepod grazing behavior and prey selection using strains of the bloom-forming cyanobacteria Raphidiopsis with contrasting morphology (short vs. long filaments) and toxin production (STX+ vs. STX-) as a model species offered together with edible prey (Chlamydomonas). As expected, the copepod selected against all strains of the cyanobacterium and grazed selectively on the edible prey. A major result was the trait-specific avoidance of the cyanobacterium: longer filament size increased avoidance only in the absence of toxin production while toxin production increased avoidance regardless of filament size. Moreover, and contrary to expected, grazing on edible food was inversely proportional to Raphiodipsis dominance. Another key result, therefore, was that the dominance of filamentous cyanobacteria such as Raphidiopsis may inhibit copepod grazing despite selective grazing of edible prey. Overall, results emphasize the trait-specific manner in which copepod prey selection responds to filament size and toxin production. The implications of these results for copepod grazing behavior and the role of defensive traits in harmful algal bloom dynamics are discussed below.
Copepod selective feeding is regulated by prey encounter rate and subsequently the remote detection and individual handling of prey items via chemosensory cues [53]. Encounter rates depend on the abundance, size, and shape of planktonic prey [54]. Once prey is encountered, copepods use chemosensory cues to individually identify and ingest the highest quality (i.e., edible and nutritious) items available while actively avoiding low quality (i.e., inedible, nutritionally poor, or toxic) items [32,55]. That the copepod Eudiaptomus avoided all strains of Raphidiopsis, albeit to varying degrees, supports previous studies showing that this cyanobacterium is a low-quality prey for copepods [50,56]. Cyanobacteria are known to be low-quality prey not only due to their defensive traits but also because they lack several essential nutrients [57,58]. The trait-specific avoidance of Raphidiopsis we observed, however, indicate that both toxin production and filament size are important cues for copepods.
We found that STX production increased copepod avoidance of short or long Raphidiopsis filaments while longer filament size increased copepod avoidance only for the STX- strain. Taken together, these results support findings of the previous Rangel et al. [51] study and suggest that i) saxitoxin production was the primary defensive trait because it was independent of filament size and ii) longer filaments were a secondary defensive trait operating in the absence of saxitoxin production. Indeed, saxitoxin is considered a chemical phytoplankton defense, with clear negative effects on zooplankton fitness and grazing [59,60]. Yet, almost all copepod studies with saxitoxin producing phytoplankton come from marine environments with dinoflagellate prey [2,55]. In a rare study with cyanobacteria, saxitoxin production by Raphidiopsis has also been associated to selective avoidance by the calanoid copepod Boeckella [50]. Hence, our results support that saxitoxin can be a defensive trait against copepod grazing for cyanobacteria in addition to dinoflagellates.
That larger filament size also increased Raphidiopsis avoidance, albeit in the absence of saxitoxin production, is evidence for the defensive role of this trait. Filament size is expected to be a defensive trait when it provides a grazer refuge by growing larger than the edible prey size for a given zooplankton [61]. Filaments larger than the edible size can clog the filtering apparatus of cladocerans [13,28] or increase prey handling time for copepods [61,62,63]. Yet, within the edible prey size range, filament or chain formation increases the encounter rate compared to unicellular phytoplankton [53,64,65]. Thus, copepods are expected to ingest filaments within the edible size range more than unicellular phytoplankton, especially if it is a good quality prey [53,64]. The optimum prey size for diaptomid calanoid copepods including Eudiaptomus is between 10 and 50 μm [66]. Hence, the shorter STX- Raphidiopsis strain (31 ± 20 μm) was within the edible prey size range while the longer STX- strain (130 ± 33 μm) was outside the optimal prey size. That the former was less avoided than the latter is likely explained by increased handling time for longer filaments.
In addition to the defensive traits, Raphidiopsis dominance was a key driver of prey specific and total grazing rates. In the current design, grazing on edible non-toxic prey is expected to be proportional to its relative abundance [54,67]. In contrast, grazing on non-edible or toxic prey is unrelated to its relative abundance as the grazer is actively avoiding ingestion of this prey [24]. The current results, therefore, confirm that the STX+ or longer filaments of Raphidiopsis were poor quality and relatively inedible. These strains were grazed upon at similarly low rates in the previous Rangel et al. study [51] with pure Raphidiopsis diets, and taken together, our results show that avoidance of these strains was independent of the availability of edible prey. This is often the case with copepod grazing on unicellular toxic cyanobacteria such as Microcystis [31,67]. In contrast, grazing on the short STX- strain was positively proportional to its abundance, indicating that this strain was more edible than the other three strains of Raphidiopsis. When Raphidiopsis was dominant (i.e., 75% of total food), clearance rate on the short STX- strain was relatively high (0.14 mL copepod−1 h−1), which was ~ 50% of the rate for edible prey. Yet, with increasing availability of edible prey, clearance rate on the short STX- strain declined to 0.05 mL copepod−1 h−1. In contrast, regardless of edible prey availability, grazing on the remaining three strains was always low (<0.03 mL copepod−1 h−1), which was <10% of the rate for edible prey. Thus, non-toxic filaments of cyanobacteria within the edible prey size may be readily ingested during blooms.
Grazing on the edible prey (Chlamydomonas), and consequently total grazing, were both reduced by increasing dominance of Raphidiopsis. Hence, contrary to our hypothesis, Raphidiopsis dominance reduced the efficiency of grazing on edible prey despite selective grazing. This contrasts with previous observations from experiments with the toxic cyanobacteria Microcystis [31,67] and Nodularia [68], whose abundance did not reduce copepod grazing on alternative edible prey. Although increasing prey encounter rate, filamentous phytoplankton can also interfere with copepod grazing due to increased handling time compared to unicellular prey [64]. Several studies indicate that copepods cut longer cyanobacterial filaments into smaller pieces during grazing [27]. Such “shredding” may increase the handling time of individual filaments and consequently reduce the encounter rate with edible prey during blooms of harmful phytoplankton [3,53]. Moreover, that the short STX+ strain reduced total grazing similar to the longer (STX+ or STX-) filaments is evidence that toxin production may also interfere with copepod grazing at higher Raphidiopsis dominance. Thus, as with some cladocerans, cyanobacterial toxin production may also inhibit copepod grazing efficiency when edible prey is scarce [69]. Notably, increased Raphidiopsis dominance did not significantly reduce total grazing in the short STX- treatment, which was compensated by increased grazing on the short STX- strain itself. This is evidence that the short STX- strain did not interfere with copepod grazing efficiency. Overall, our results emphasize that in contrast to Microcystis and Nodularia, the dominance of Raphidiopsis, especially toxin-producing or longer filaments, may reduce copepod grazing efficiency in nature.
The observed negative relation between Raphidiopsis dominance and the selectivity coefficient for this cyanobacterium (αR) is likely an artifact of our method to measure clearance rates. The assumption to accurately measure selectivity is an unchanging proportion among prey during the grazing period [70]. Due to active avoidance of Raphidiopsis, however, the proportion of this cyanobacterium increased during the experiment. Consequently, in our setup, the αR values are likely overestimated, especially for the 25% Raphidiopsis treatment [71]. Nevertheless, the effect of toxin production or filament size on αR is independent of any overestimation of αR because differences among these treatments are conserved for a given proportion of Raphidiopsis. Hence, while αR may not be the perfect metric for selectivity in grazing experiments based on prey loss, conclusions about the effect of toxin production and filament size on selectivity are warranted in this setup [67].
A major challenge when testing the role of putative phytoplankton defenses is the difficulty of controlling for a single trait among different phytoplankton strains [1]. Indeed, although grazing on the short and long STX+ strains was similar, longer filaments also produced less saxitoxin. Thus, similar grazing on longer (less toxin) vs. shorter (more toxin) filaments may have been, at least partially, due to a potential trade-off between filament size and toxicity. The previous Rangel et al. study [51] with pure Raphidiopsis diets, however, showed that the presence–not concentration–of STX was likely the main factor that deterred grazing, and consequently, that filament size was secondary to toxin production as a grazer defense. Hence, while our results suggest a primary defensive role for toxin production, future work is necessary to resolve potential trade-offs among chemical versus morphological defensive traits. This might be possible by using mechanically shortened filaments with identical chemical traits including toxin production and nutrition. Our results could also be due, at least partially, to other unaccounted differences in the chemical traits of the Raphidiopsis strains including unidentified toxins [72,73,74] or nutrition [57,58]. Moreover, confirming the results obtained here with a larger pool of STX+ and STX- strains would corroborate the role of STX as an anti-grazer defense for Raphidiopsis.
That specific defensive traits of cyanobacteria act as anti-grazer cues for selectively grazing zooplankton has important implications for the producer-consumer link in aquatic ecosystems. In addition to being a key consumer in pelagic ecosystems, copepods are often the major zooplankton in ecosystems with harmful blooms of phytoplankton including cyanobacteria [21,47,75,76]. There is theoretical [33,34,77] and empirical [23,35] evidence that copepod selective grazing may promote blooms of harmful phytoplankton. Our results build on these predictions and suggest that cue-based selective copepod grazing may promote the dominance of cyanobacteria with longer filament size or toxin production. The defensive role of filament size we observed, however, may weaken with time due to copepod shredding of cyanobacterial filaments down to the edible size range [48]. Moreover, copepods can locally adapt to evolve tolerance to phytoplankton toxins [78]; are known to assimilate cyanobacterial carbon in nature [76,79,80,81]; and can be adapted to ingesting and detoxifying toxic cyanobacteria [31]. Thus, toxin-producing strains of Raphidiopsis may be ingested at higher rates depending on local adaptation. Despite toxin tolerance, however, copepods can still be expected to avoid bloom-forming cyanobacteria, especially when alternative nutritious prey is available, due to stoichiometric constraints [24,25].

4. Conclusions

Taken together, our results build on the preliminary Rangel et al. [51] study by showing that (i) toxin production and filament size are important regulators of copepod prey selection, and moreover, (ii) filamentous cyanobacteria can interfere with copepod grazing in a trait specific manner depending on the availability of alternative prey. Results emphasize that trait variation can mediate grazing pressure on filamentous cyanobacteria, resulting in 10-fold differences among clearance rates. Hence, shorter and non-toxin producing filaments of cyanobacteria, although still avoided, may be ingested at relatively high rates, especially during blooms. Yet, defensive traits of cyanobacteria may interfere with copepod grazing and therefore reduce copepod fitness due to limited energy intake during blooms when edible prey is scarce. This preliminary evidence suggests that neurotoxin production may be a more effective defense compared to filament size. Future efforts that simultaneously compare the effectiveness of multiple defensive traits can provide a more systematic understanding of trait-based phytoplankton defenses and subsequent effects on the producer-consumer link in pelagic ecosystems.

5. Materials and Methods

5.1. Phytoplankton Cultivation

The methods for phytoplankton and zooplankton cultures are described in detail in the previously published sister study Rangel et al. [51]. Briefly, two strains of the cyanobacterium Raphidiopsis raciborskii (i.e., Raphidiopsis) were obtained from the Laboratory of Ecophysiology and Toxicology of Cyanobacteria (LETC, Federal University of Rio de Janeiro, Brazil) and were used in this study. The saxitoxin producer LETC CYRF-01 (i.e., STX+) and LETC CS1, which had no saxitoxin or cylindrospermopsin production detected (i.e., STX-). The chlorophycean Chlamydomonas reinhardtii (NIVA-CHL13) and the cryptophycean Cryptomonas pyrenoidifera (NIVA 2/81) were obtained from the Norwegian Institute for Water Research (NIVA, Oslo, Norway). Stock cultures, with the exception of Cryptomonas, were maintained as semi-continuous batch cultures in modified WC medium in 300 mL Erlenmeyer flasks. Flasks were placed at 25 °C, under continuous orbital shaking (60 rpm), in a photoperiod of 14 h with a maximum intensity of 50 μmol photons m−2 s−1 of light. Cryptomonas was maintained in a chemostat under identical conditions as the other phytoplankton. Under these conditions, Chlamydomonas cells were spherical with a mean diameter of ≈10 µm. The cyanobacteria and chlorophyte (as edible prey) were used in grazing experiments. Cryptomonas was used to acclimate copepods and not in the grazing experiments because of the overlapping fluorescence signal with the cyanobacteria used to detect prey abundance [51].

5.2. Establishment of Short and Long Filament Cyanobacterial Morphotypes

As previously described [51], we grew the STX+ and STX- strains at 17 °C (for obtaining longer filaments) or 32 °C (for obtaining shorter filaments) for two months (all other conditions identical to stock cultures above). For each strain and morphotype, we calculated the mean filament length (± SD) based on 50 filaments. This resulted in two comparable long (STX+: 158 ± 66 µm; STX-: 130 ± 33 μm) filaments and two comparably short (STX+: 31 ± 20 µm; STX-: 55 ± 25 μm) filaments for each strain. Hence, there was a short- and long-filament morphotype for both the STX+ and STX- strain of cyanobacteria that were used in grazing assays to test the role of toxin production vs. filament size on copepod grazing.

5.3. Toxin Analyses of the STX+ and STX- Strains

Toxin production (saxitoxins: saxitoxin -STX, neosaxitoxin -NEO, decarbamoylsaxitoxin - dcSTX and decarbamoylneosaxitoxin - dcNEO; and gonyautoxins: GTX1-4, decarbomoyl gonyautoxin -dcGTX2-3; certified standards National Research Council, Canada) of the Raphidiopsis strains and morphotypes was performed by liquid chromatography-tandem mass spectrometry (LC-MS/MS; Agilent Technologies, Santa Clara, CA, USA), as previously described [51]. The short- or long- STX- strains did not produce any detectable toxin while both STX+ morphotypes produced a mixture of STX, dc STX, NEO, and dcNEO. The short and long STX+ strain produced a total of 1.09 × 10−10 and 1.21 × 10−11 µg mm−3 toxin per biovolume, respectively [51]. This resulted in a short and long STX+ strain to be used in the grazing assay.

5.4. Copepods Used for Grazing Experiments

Adults of the calanoid copepod Eudiaptomus gracilis were sampled from Lake Rauwbraken (The Netherlands) with a plankton net and returned to the laboratory, where they were subsequently acclimated to laboratory conditions for five days in Dutch Standard Water medium before the grazing experiment as described previously [51]. Copepods were fed Cryptomonas at a rate of 0.5 mg C L−1d−1 during this time. Only healthy (i.e., active and free of external parasites) adult copepods were used in the grazing experiments.

5.5. Copepod Functional Response to Different Prey

In order to define the prey concentration that maximizes grazing rates of the copepod, we designed grazing assays comparing the functional response of copepod clearance rate on the five different phytoplankton prey across a food concentration of 0.125, 0.250, 0.5 and 1 mg C L−1. The five different prey were Chlamydomonas (C) and the four Raphidiopsis strains described above (i.e., short STX-, long STX-, short STX+, long STX+). The functional response shows how grazing rates respond to the availability of a single prey and is useful for determining the total prey concentration to be used in the mixed-prey experiment (i.e., the concentration corresponding to the highest grazing rate) [53,67].

5.6. Copepod Selective Grazing in Mixed Prey Diets

In order to estimate the effect of cyanobacterial defenses (i.e., filament size and toxin production) on copepod prey selection, we designed grazing assays with mixed prey. For this, each strain of the cyanobacteria (i.e., short STX-, long STX-, short STX+, long STX+) was paired with the edible Chlamydomonas, resulting in four different diets (prey pairs). Moreover, to quantify potential effects due to changes in the relative dominance of the cyanobacterium (e.g., grazing inhibition) we also provided each prey pair at three different proportions corresponding to:
  • 25% Raphidiopsis + 75% Chlamydomonas;
  • 50% Raphidiopsis + 50% Chlamydomonas;
  • 75% Raphidiopsis + 25% Chlamydomonas.
Thus, there were four different prey pairs crossed with three different proportions. Given that the highest mean grazing rate was observed with 0.5 mg C L−1 of edible prey in the functional response (see results), we used this as the total prey concentration for these mixed-prey experiments. By comparing grazing responses of each prey to its availability, this setup distinguishes differences in the quality or edibility among prey [10].
All grazing experiments were performed as explained previously [30]. Briefly, we calculated prey specific clearance rates (mL copepod−1 h−1) by comparing changes in prey specific chlorophyll-a concentrations in no-grazer controls vs. treatments with copepods over a two-hour grazing period (Supplementary Material, Figure S1). Prey specific chlorophyll-a concentration was measured by a PHYTO-PAM (HeinzWalz GmbH, Effeltrich, Germany) using a calibrated “blue” signal for the cyanobacteria and “green” signal for the Chlamydomonas. The grazing experiment took place in 24-well plates where each well-received 2.5 mL of a given prey concentration plus two adult copepods for the grazer treatment, but no copepods added for the no-grazer control. Copepods were previously starved (24 h) to avoid potential effects due to variable gut fullness. Prey were diluted to the desired concentration using WC medium. Each treatment was replicated four times (except for a single treatment in the functional response experiment, the 0.125 mg C L−1 Chlamydomonas, which was replicated three times). Prey concentrations were estimated using the regression between phytoplankton biovolume and carbon biomass [82,83] using the measurements (via microscopy) of 50 cells or filaments for each prey type. Following the experiments, all copepods were alive and active.
Prey selection was calculated by selectivity coefficient (αi) using the normalized Ivlev’s ratio, which compares the relative ingestion of a given prey to its relative availability [70]. The Ivlev’s ratio for a given prey i (Ii) is calculated by the formula Ii = ri × ni−1, which is the clearance rate on prey i divided by the sum of clearance rates on all prey (ri) divided by the proportion of prey i among total prey (ni). We calculated the selectivity coefficient for Raphidiopsis (αR) by normalizing the Ivlev’s coefficient for this prey using the formula αR = IC (IC + IR)−1 where IC and IR are the Ivlev’s ratio for the edible prey Chlamydomonas and Raphidiopsis, respectively. The selectivity coefficient is calculated for a given species and varies between zero and one, with 0.5 being no selection for a diet with two prey items [70]. Hence, values higher than 0.5 indicate positive selection (i.e., ingestion > availability) while values below 0.5 indicate avoidance (ingestion < availability).

5.7. Statistical Analysis

The effect of prey traits and the proportion of cyanobacteria in the diet on clearance rates or selectivity coefficients were compared using Generalized Linear Models with a gaussian family function using R software (2015, R Foundation for Statistical Computing, Vienna, Austria, version 3.1.3) [84]. Clearance rates or selectivity were the response variables while prey type (Chlamydomonas vs. Raphidiopsis), cyanobacterial defensive traits (toxin, size), and the dominance of the cyanobacterium were the independent variables.

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6651/12/7/465/s1, Figure S1: Design of the selective grazing experiment showing a single replicate of each treatment with a specific combination of contrasting cyanobacterial defensive traits crossed with a specific cyanobacterial dietary proportion (mixed with the edible alga Chlamydomonas in a total prey concentration of 0.5 mgC L−1) in paired experimental units with (indicated by black copepod icon) or without copepods (i.e., no-grazer control).

Author Contributions

L.M.R., K.A.G., M.L., and L.H.S.S. conceived and designed the study. L.M.R. conducted grazing assays. E.J.F. conducted saxitoxins analysis. L.M.R., K.A.G., L.H.S.S., M.L. and E.J.F. analyzed the data. L.M.R. wrote the manuscript with input from all coauthors. All authors have read and agreed to the published version of the manuscript.

Funding

L.M.R. was supported by a Sandwich Ph.D. fellowship from CAPES (Foundation for the Coordination of Higher Education and Graduate Training, Brazil—BEX 5712/11-4). This study was conducted under the flag of the CAPES (Brazil)/Wageningen University (The Netherlands): CAPES-WUR project 004/2008.

Acknowledgments

The authors are grateful to Sandra M. O. F. Azevedo, who kindly provided the Raphidiopsis strains. We are also grateful to F. van Oosterhout, W. Beekman-Lukassen, M. Mucci, J. Beijer, and F. Gillissen for their assistance during the field and lab work.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

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Figure 1. The functional response of the copepod Eudiaptomus showing mean clearance rate for the edible prey (Chlamydo: Chlamydomonas); and the four different strains and morphotypes of the cyanobacterium Raphidiopsis offered as the sole food source across different concentrations. Short or long refer to Raphidiopsis filament size, while the STX refers to strains that produce (STX+) or do not produce saxitoxin (STX-). Error bars show standard deviation (n = 4).
Figure 1. The functional response of the copepod Eudiaptomus showing mean clearance rate for the edible prey (Chlamydo: Chlamydomonas); and the four different strains and morphotypes of the cyanobacterium Raphidiopsis offered as the sole food source across different concentrations. Short or long refer to Raphidiopsis filament size, while the STX refers to strains that produce (STX+) or do not produce saxitoxin (STX-). Error bars show standard deviation (n = 4).
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Figure 2. Mean clearance rate of the copepod Eudiaptomus grazing on mixed diets containing the edible prey (Chlamydomonas) and one of the Raphidiopsis strains across different biomass proportions of the cyanobacterium. Rates are shown for (A) Raphidiopsis; (B) Chlamydomonas; and (C) the total on both phytoplankton prey in treatments receiving Raphidiopsis with contrasting defensive traits (filament size: short or long; saxitoxin production: STX+ or STX-). Error bars show standard deviation (n = 4).
Figure 2. Mean clearance rate of the copepod Eudiaptomus grazing on mixed diets containing the edible prey (Chlamydomonas) and one of the Raphidiopsis strains across different biomass proportions of the cyanobacterium. Rates are shown for (A) Raphidiopsis; (B) Chlamydomonas; and (C) the total on both phytoplankton prey in treatments receiving Raphidiopsis with contrasting defensive traits (filament size: short or long; saxitoxin production: STX+ or STX-). Error bars show standard deviation (n = 4).
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Figure 3. Mean selectivity coefficient of the copepod Eudiaptomus for the cyanobacterium Raphidiopsis (αR) on mixed diets containing the edible prey (Chlamydomonas) and one of the Raphidiopsis strains across different biomass proportions of the cyanobacterium with contrasting defensive traits (filament size: short or long; saxitoxin production: STX+ or STX-). Error bars show standard deviation (n = 4). Values below 0.5 indicate active avoidance of the cyanobacterium; values closer to zero indicate stronger avoidance (see text for details).
Figure 3. Mean selectivity coefficient of the copepod Eudiaptomus for the cyanobacterium Raphidiopsis (αR) on mixed diets containing the edible prey (Chlamydomonas) and one of the Raphidiopsis strains across different biomass proportions of the cyanobacterium with contrasting defensive traits (filament size: short or long; saxitoxin production: STX+ or STX-). Error bars show standard deviation (n = 4). Values below 0.5 indicate active avoidance of the cyanobacterium; values closer to zero indicate stronger avoidance (see text for details).
Toxins 12 00465 g003
Table
Table 1. Relative effect of prey type, i.e., Chlamydomonas or each of the Raphidiopsis strains with contrasting defensive traits (filament size: short or long; saxitoxin production: STX+ or STX−), and prey concentration (conc) on clearance rates in the functional response experiment. Prey effects are shown A) across all diets and relative to the edible prey Chlamydomonas; and B) across cyanobacterial diets only and relative to the long STX- strain of Raphidiopsis.
Table 1. Relative effect of prey type, i.e., Chlamydomonas or each of the Raphidiopsis strains with contrasting defensive traits (filament size: short or long; saxitoxin production: STX+ or STX−), and prey concentration (conc) on clearance rates in the functional response experiment. Prey effects are shown A) across all diets and relative to the edible prey Chlamydomonas; and B) across cyanobacterial diets only and relative to the long STX- strain of Raphidiopsis.
A. All PreySlopeSEt Valuep
Intercept0.3990.01723.157<0.001
Long STX-−0.3630.020−17.932<0.001
Long STX+−0.3680.020−18.185<0.001
Short STX-−0.3040.020−15.055<0.001
Short STX+−0.3590.020−17.739<0.001
Conc−0.0060.018−0.3540.725
B. Only CyanobacteriaSlopeSEt Valuep
Intercept0.0370.0066.078<0.001
Long STX+−0.0050.007−0.7130.478
Short STX-0.058−0.0078.118<0.001
Short STX+0.0030.0070.5440.588
Conc−0.0080.007−1.1430.258
Table
Table 2. The effects of Raphidiopsis dominance (%R) and defensive traits (filament size or toxin production) on the clearance rate of A) Raphidiopsis (CRR), B) the edible prey Chlamydomonas (CRC), C) sum of both prey, and D) sum of both prey excluding the short STX- treatment in the mixed prey experiment. Defensive trait effects show how the treatments with the long or STX+ filaments of Raphidiopsis changed clearance rates compared to treatments with the short or STX- filaments of Raphidiopsis, respectively.
Table 2. The effects of Raphidiopsis dominance (%R) and defensive traits (filament size or toxin production) on the clearance rate of A) Raphidiopsis (CRR), B) the edible prey Chlamydomonas (CRC), C) sum of both prey, and D) sum of both prey excluding the short STX- treatment in the mixed prey experiment. Defensive trait effects show how the treatments with the long or STX+ filaments of Raphidiopsis changed clearance rates compared to treatments with the short or STX- filaments of Raphidiopsis, respectively.
A.SlopeSEt Valuep
Intercept0.0100.0110.9070.369
%R<0.001<0.0012.4700.017
Size−0.0380.008 −4.802<0.001
Toxin−0.0340.008−4.357<0.001
B.SlopeSEt Valuep
Intercept0.4950.035913.780<0.001
%R−0.003<0.001−5.295<0.001
Size<0.0010.0240.0030.998
Toxin−0.03310.024−1.3840.173
C.SlopeSEt Valuep
Intercept0.5060.03912.905<0.001
%R−0.0020.001−4.097<0.001
Size−0.0380.026−1.4660.149
Toxin−0.0670.026−2.6000.013
D.SlopeSEt Valuep
Intercept0.4860.03812.524<0.001
%R−0.003<0.001−5.075<0.001
Size0.0280.0310.9140.368
Toxin−0.0040.031−0.1340.894
Table
Table 3. The effects of Raphidiopsis dominance (% R) and defensive traits (size or toxin production) on the selectivity coefficient of Raphidiopsis (αR) in A) all treatments and B) without considering the short STX- treatment. Defensive trait effects show how the treatments with the long or STX+ filaments of Raphidiopsis changed αR compared to treatments with the short or STX- filaments of Raphidiopsis, respectively.
Table 3. The effects of Raphidiopsis dominance (% R) and defensive traits (size or toxin production) on the selectivity coefficient of Raphidiopsis (αR) in A) all treatments and B) without considering the short STX- treatment. Defensive trait effects show how the treatments with the long or STX+ filaments of Raphidiopsis changed αR compared to treatments with the short or STX- filaments of Raphidiopsis, respectively.
A.SlopeSEt Valuep
Intercept0.1870.0286.576<0.001
%R−0.0010.000−3.798<0.001
Size−0.0740.018−3.943<0.001
Toxin−0.0650.018−3.4460.001
B.SlopeSEt Valuep
Intercept0.1510.0295.074<0.001
%R−0.0010.000−3.2980.002
Size−0.0190.024−0.8070.425
Toxin−0.0100.024−0.4210.676

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MDPI and ACS Style

Rangel, L.M.; Silva, L.H.S.; Faassen, E.J.; Lürling, M.; Ger, K.A. Copepod Prey Selection and Grazing Efficiency Mediated by Chemical and Morphological Defensive Traits of Cyanobacteria. Toxins 2020, 12, 465. https://doi.org/10.3390/toxins12070465

AMA Style

Rangel LM, Silva LHS, Faassen EJ, Lürling M, Ger KA. Copepod Prey Selection and Grazing Efficiency Mediated by Chemical and Morphological Defensive Traits of Cyanobacteria. Toxins. 2020; 12(7):465. https://doi.org/10.3390/toxins12070465

Chicago/Turabian Style

Rangel, Luciana M., Lúcia H. S. Silva, Elisabeth J. Faassen, Miquel Lürling, and Kemal Ali Ger. 2020. "Copepod Prey Selection and Grazing Efficiency Mediated by Chemical and Morphological Defensive Traits of Cyanobacteria" Toxins 12, no. 7: 465. https://doi.org/10.3390/toxins12070465

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