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Effects of prey trophic mode on the gross-growth efficiency of marine copepods: the case of mixoplankton

Abstract

Copepod reproductive success largely depends on food quality, which also reflects the prey trophic mode. As such, modelling simulations postulate a trophic enhancement to higher trophic levels when mixotrophy is accounted in planktonic trophodynamics. Here, we tested whether photo-phagotrophic protists (mixoplankton) could enhance copepod gross-growth efficiency by nutrient upgrading mechanisms compared to obligate autotrophs and heterotrophs. To validate the hypothesis, we compared physiological rates of the copepod Paracartia grani under the three functional nutrition types. Ingestion and egg production rates varied depending on prey size and species, regardless of the diet. The gross-growth efficiency was variable and not significantly different across nutritional treatments, ranging from 3 to 25% in the mixoplanktonic diet compared to autotrophic (11–36%) and heterotrophic (8–38%) nutrition. Egg hatching and egestion rates were generally unaffected by diet. Overall, P. grani physiological rates did not differ under the tested nutrition types due to the large species-specific variation within trophic mode. However, when we focused on a single species, Karlodinium veneficum, tested as prey under contrasting trophic modes, the actively feeding dinoflagellate boosted the egestion rate and decreased the copepod gross-growth efficiency compared to the autotrophic ones, suggesting possible involvement of toxins in modulating trophodynamics other than stoichiometric constraints.

Introduction

Copepods are the dominant mesozooplanktonic grazers in the marine realm, showing a wide variety of feeding modes and dietary habits1, and bridging unicellular producers and consumers with fish populations. Copepod feeding and reproductive performance depends on specific food traits, such as prey size2,3,4, prey concentration5, prey motility6, and food quality7,8. For copepods, food quality (e.g., biochemical composition and relative contribution of micro- and macronutrients of their prey9) is typically related to prey-type specific characteristics, ultimately associated to the prey trophic mode and nutrient availability. According to ecological stoichiometry, heterotrophic prey would benefit copepods in terms of stoichiometric balance10. However, from previous studies, no apparent enhancement in the egg production efficiency was observed in copepods fed heterotrophic protists compared to strict autotrophic prey7.

Overall, both autotrophic and heterotrophic protists make up copepod diet in different relative contributions according to the environmental nutrient regime and the particular food web type (classic herbivore vs. microbial) established11,12. In productive systems, such as upwellings, diatoms represent the dominant nitrogen and lipid source in copepod diets11,13. In oligotrophic environments, heterotrophic nano- and microplankton, such as many dinoflagellates and ciliates are the prevailing food11. Nevertheless, the dichotomic paradigm placing strict phototrophs and heterotrophs as major players in nutrient cycling within planktonic communities is challenged by the presence of mixotrophy. In fact, nowadays a large proportion of marine protists is acknowledged to be capable of performing both photosynthesis and phagotrophy14, and therefore referred herein to as mixoplankton15. Assigning mixoplankton to a fixed functional role in planktonic communities is a hard task due to the great variety of mixotypes existing16 and their flexible reliance on either nutritional strategy15. As a consequence, by overlooking mixoplankton as key drivers in ocean production, the predicted contribution of species to nutrient fluxes would only reflect an incomplete dichotomic food web structure15.

Hitherto, experimental evidences17,18 and model simulations16,19 reinforce the idea that mixoplankton do influence trophic interactions and nutrient cycling via trophic upgrade and channelling of nutrients to higher predators from unfavourably-sized prey. Nonetheless, how mixoplankton affect copepod and other zooplankton vital rates is not yet fully understood, and the outcome of the experimental evidence available is diverse. Some studies have reported either enhancement17 or the lack of any remarkable effect on copepod physiology when fed different potential mixotrophic dinoflagellates20,21, whereas when the mixoplanktonic species tested may contain toxins, as typically occur during the onset of harmful algal blooms22,23,24, other assays have showed impairment of copepod vital rates. It is worth noting, however, that mixoplankton tested in previous studies were usually not grown under phagotrophic status, rather they were reared as functional autotrophs (i.e., in inorganic nutrient-rich media and high irradiance levels without additional prey supply)15. Therefore, up to date, the nutritional value of functional (actively feeding) mixoplankton on copepod physiology is still under-investigated17 and the integration of mixoplankton as independent trophic level is only partially addressed on ecosystem scale by a few numerical models and network analyses25,26.

In the present study, we determined differences in the gross-growth efficiency of the calanoid copepod Paracartia grani (Sars) when offered functional mixotrophic prey in comparison to typically-used autotrophic and heterotrophic diets. We restricted our study to mixoplankton that do not produce (acute) toxic responses in copepods, and ensured the mixotrophic prey used in the experiments were actively feeding. To achieve this aim, we conducted grazing experiments to quantify ingestion, egg production and egg hatching rates under the aforementioned dietary conditions. We also determined the copepod fecal pellet production and fecal pellet size under the different diets tested to assess variations in egestion rate due the likely differences in the degree of prey digestion and packaging. Finally, we also explored the effects of intraspecific variability of the prey trophic mode (in both oligotrophic and eutrophic conditions) on the copepod physiological performance.

Results

Elemental content and stoichiometric ratios

Size, elemental contents and stoichiometric molar ratios of the prey species are listed in Table 1. The C content normalized to cell volume was lower in heterotrophs (0.11 ± 0.004 pg C μm−3) compared to the other trophic modes (0.15 ± 0.01 and 0.17 ± 0.02 pg C μm−3 in autotrophs and mixotrophs, respectively; Kruskal–Wallis, Dunn’s test, P = 0.041). N and P contents and stoichiometric ratios (C:N, C:P and N:P), however, did not differ among trophic modes (one-way ANOVA, P > 0.05). We further explored potential differences between the prey trophic modes by Principal Component Analysis (PCA). Figure 1 shows the contribution of prey stoichio-morphometric traits on the grouping of species within an orthogonal 2D-space along the two most relevant principal components (PCs). C:P ratio and N content explained > 90% of variation along the PC1 and PC2 respectively (Fig. 1a). However, no particular distinction among trophic modes emerged as auto-, mixo- and heterotrophic prey were clustered together (95% CI) without significant differences (P > 0.05) (Fig. 1b).

Table 1 Size (equivalent spherical diameter, ESD), size class, elemental content and stoichiometric molar ratios of the prey species. The prey carbon and cell concentrations used in the copepod feeding incubations are also provided. Average ± 1 s.e.m.
Figure 1
figure1

Principal component analysis. (a) Component loadings of the original variables and (b) component scores of combinations of the original variables along the two principal component axes. The circle in (b) depicts the Hotelling's T2 with 95% confidence interval. Abbreviations in (b) are described in Table 3.

Regarding the variation within Karlodinium veneficum grown in different conditions, the C content of K. veneficum increased significantly when acting as mixotroph (0.18 ± 0.01 pg C μm−3), whereas the cell quota was similar under high (0.13 ± 0.08 pg C μm−3) and low (0.12 ± 0.007 pg C μm−3) nutrient load in both autotrophic cultures (one-way ANOVA, Tukey HSD, P = 0.008; Table 1). The P content was statistically different among the three functionally growing K. veneficum cultures (one-way ANOVA, Tukey HSD, P < 0.001), being two-fold lower in the poor-nutrient autotrophic dinoflagellate with respect to the nutrient-replete one (respectively, 0.003 ± 0.00002 pg P μm−3 and 0.006 ± 0.0002 pg  P μm−3; Table 1). In the K. veneficum reared as functional autotroph in high-nutrients, C:N and C:P molar ratios were significantly lower than the nutrient-depleted K. veneficum, regardless of their nutritional strategies (one-way ANOVA, Tukey HSD, P < 0.001). However, the N:P ratio increased significantly in the mixotrophic K. veneficum compared to the nutrient-rich autotrophic dinoflagellate (Kruskal–Wallis, Tukey HSD, P = 0.03; Table 1).

Ingestion rates

Figure 2a shows the ingestion rates of P. grani adult females, in terms of carbon intake, as a function of prey size. In general, there were significant differences in the feeding rates between size classes (7–13 µm; 13–18 µm; 18–31 µm) (one-way ANOVA, Bonferroni, P = 0.026). Mean values ranged between 3.7 ± 0.1 µg C ind−1 d−1 when fed the small-sized autotrophic K. veneficum (grown in FSW) and 18 ± 2 µg C ind−1 d−1 when fed the large-sized mixotrophic Mesodinium rubrum. Nevertheless, despite the large size, the aloricate ciliate Strombidium arenicola was eaten at moderately lower rates compared to the other large prey species (Fig. 2a). Even within the intermediate prey size range, substantial variation (ca. 3.5-fold change) was found among species. The ingestion rates did not vary significantly among functional trophic modes (one-way ANOVA, P = 0.547), most likely because of the high variability observed, especially among the different autotrophic and mixotrophic prey. Regarding stoichiometric ratios, we only found a moderate but significant linear relationship between C ingestion and prey N:P ratio (one-way ANOVA, P = 0.046, Fig. 2b; Table S1). Regarding K. veneficum, which was tested under the 3 different trophic conditions (Fig. 2a, Table 2), significant differences emerged between autotrophic and mixotrophic nutrition (Kruskal–Wallis, Tukey HSD, P = 0.038). In fact, the C ingestion of the adult female P. grani on the mixotrophic K. veneficum (5.9 ± 0.1 µg C ind−1 d−1) was ca. 1.6-fold higher than the one measured on the dinoflagellates grown autotrophically in f/2 (3.8 ± 0.3 µg C ind−1 d−1) and nutrient-poor (i.e. FSW) medium (3.7 ± 0.1 µg C ind−1 d−1).

Figure 2
figure2

Ingestion rate of adult female P. grani as a function of (a) prey size and (b) prey N:P ratio. Non-linear fit with peak Sigma-Plot function in (a) and simple linear regression fit and corresponding equation in (b) are provided. Abbreviations are described in Table 3. Error bars are ± 1 s.e.m.

Table 2 Copepod physiological responses under the three K. veneficum diets.

Fecal pellet production rates

Fecal pellet production rate ranged between 5 ± 0.3 pellets ind−1 d−1 on a diet of K. veneficum (FSW) and 84 ± 4 pellets ind−1 d−1 when fed on Thalassiosira weissflogii (Fig. 3a). Fecal pellet size was variable and ranged between (geometric) mean values of 0.09 × 106 µm3 pellet−1 for M. rubrum and 0.44 × 106 µm3 pellet−1 for the diatom T. weissflogii (Fig. 3b). When egestion rate is expressed as total biovolume of fecal pellet produced, most of the prey tested rendered rather similar and low egestion rates (with values ranging between 0.9 ± 0.1 and 3.9 ± 0.3 × 106 µm3 ind−1 d−1 for K. veneficum (FSW) and Oxyrrhis marina, respectively, Fig. 3c), with the exception of the cryptophyte Rhodomonas salina and the diatom T. weissflogii. On these two diets, in fact, the egestion rate of adult female P. grani accounted for 12.6 ± 0.7 × 106 µm3 ind−1 d−1 (R. salina) and 37 ± 2 × 106 µm3 ind−1 d−1 (T. weissflogii). These egestion rates were ca. 5 and 17 times higher than the average rates shown on the other prey. When comparing K. veneficum diets, as a consequence of increased pellet size, the mixotrophic K. veneficum yielded significantly higher egestion outputs compared to the autotrophic ones (one-way ANOVA, Tukey HSD, P < 0.001, Fig. 3b,c, Table 2). No correlation was found between defecation traits (pellet volume, pellet production and egestion rate) and either prey size or ingestion rate (data not shown; one-way ANOVA, P > 0.05 in all cases), nor with prey stoichiometry (one-way ANOVA, P > 0.05, Table S1).

Figure 3
figure3

Egestion of P. grani. (a) Fecal pellet production rate, (b) fecal pellet volume as function of fecal pellet production rate, (c) volumetric egestion rate in the different dietary treatments, (d) egestion/ingestion ratio as function of prey size. Abbreviations are described in Table 3. Error bars are ± 1 s.e.m.

The ratio of egested biovolume to total ingested biovolume (E/I ratio; Fig. 3d), expressed as a percentage, is as a proxy for discerning potential differences in either the absorption efficiency, the degree of pellet packaging or the presence of copepod sloppy feeding under the different diets. With the exception of T. weissflogii and R. salina, with E/I ratios of respectively 38 ± 2% and 34 ± 2%, for the rest of species the mean value was 4.2 ± 0.8% and the range of variation was moderate (1–10%; Fig. 3d), without significant differences across trophic modes or prey size classes (one-way ANOVA, P > 0.05) nor prey stoichiometry (one-way ANOVA, P > 0.05, Table S1). At a finer scale, intraspecific variations in E/I ratio emerged when the different K. veneficum diets were compared. In fact, a higher E/I ratio was observed under mixotrophic K. veneficum diet (8.4 ± 0.3%) compared to the autotrophic K. veneficum diets, either in high or low nutrient (FSW) media (respectively, 5.8 ± 0.2% and 2.8 ± 0.1%; Kruskal–Wallis, Tukey HSD, P = 0.020, Fig. 3d, Table 2).

Egg production rates, egg hatching success and gross-growth efficiency

P. grani egg production rates were variable and ranged between 15 ± 2 eggs ind−1 d−1 when the diet consisted of M. rubrum and 78 ± 3 eggs ind−1 d−1 when fed the heterotrophic ciliate S. arenicola (Fig. 4a). The three K. veneficum cultures showed similar reproductive outputs (mean: 27 ± 1 eggs ind−1 d−1, Table 2). In either case, no significant difference in egg production rates among diets was found when comparing among trophic modes or between the three K. veneficum diets (one-way ANOVA, P > 0.05). Neither food quality (prey stoichiometric ratios) significantly influence egg production rate (one-way ANOVA, P > 0.05, Table S1).

Figure 4
figure4

Reproduction and recruitment in the different dietary treatments. (a) P. grani egg production rate and (b) egg hatching success after 48 h from collection. Error bars are ± 1 s.e.m.

Egg hatching success was overall high under most of the dietary treatments (nearly 70%; Fig. 4b), but declined when copepods were fed M. rubrum (27% ± 4) and to less extent when fed the autotrophic Heterocapsa sp. (54% ± 1). The three differentially growing K. veneficum did not exhibit any significant difference in hatching success among them (one-way ANOVA, P > 0.05; Fig. 4b, Table 2). Slightly significant relationship was found between hatching success and prey C:P ratio (one-way ANOVA, P = 0.042, Table S1). However, the amount of variance explained was rather low and the relationship was no longer significant when one outlier species (M. rubrum) was removed.

P. grani females showed high values (25–40%) of gross-growth efficiency when feeding on R. salina, K. veneficum (FSW), Heterocapsa sp., Karlodinium armiger and S. arenicola (Fig. 5a). Very low efficiencies (< 10%) were found when fed M. rubrum and Gyrodinium dominans. Surprisingly, the latter two prey were ingested at reasonably high rates, but the reproductive output was comparatively very low (Fig. 5b). No significant differences were found in gross-growth efficiencies of P. grani on the different diets according to the nutritional mode of the offered prey (one-way ANOVA, P > 0.05; Fig. 5a) and no significant relationship existed with prey food quality (one-way ANOVA, P > 0.05, Table S1). Contrarily to this general picture, however, when we focused only on K. veneficum, the consumption of the autotrophic and mixotrophic cultures yielded different gross-growth efficiency outputs. In fact, the mixotrophic diet resulted in lower P. grani gross-growth efficiency (15% ± 1) compared to autotrophic nutrition in either high or low nutrient conditions (respectively, 23% ± 2 and 29% ± 3), without differences between nutrient treatments (Kruskal–Wallis, Tukey HSD, P = 0.03; Fig. 5a, Table 2).

Figure 5
figure5

Gross-growth efficiency of P. grani. (a) Carbon gross-growth efficiency in the different dietary conditions and (b) egg production rate as a function of ingestion rate. The dashed line in (b) represents a 30% gross-growth efficiency illustrated for comparative purposes. Abbreviations are described in Table 3. Error bars are ± 1 s.e.m.

Discussion

Phagotrophic organisms are expected to accumulate more N and P compared to autotrophs that store C-rich structural polysaccharides and photosynthates27. However, we found no significant differences in the elemental contents and stoichiometric ratios among the different nutrition modes of protist prey (Fig. 1, Table 1). Only the C content of the heterotrophs was significantly lower than that for the autotrophic and mixotrophic prey, but this difference did not translate into significant stoichiometric changes (Table 1). The lack of clear differences in the stoichiometric ratios observed when comparing our autotrophic and mixotrophic species (and strains) may be due to (a) stronger but species-specific dependency of autotrophs on external inorganics and (b) flexible reliance of mixoplankton on either nutritional mode under the applied growing conditions. In fact, mixoplankton can lie in the phototrophic or heterotrophic spectrum of the trophic continuum according to the mixotype16. Furthermore, beside the well-known role of nutrients and light, also the interplay between these two and the size class is acknowledged to influence stoichiometry in protists within a given trophic category27. Among the species tested, cell volume-normalised C content (including N and P also when reported) was coherent with previously-reported values in the literature for the autotrophs R. salina and T. weissflogii28, Heterocapsa sp.29 and the heterotrophs G. dominans and O. marina30, and the closely-related Strombidium sulcatum31 under similar growth conditions than those in this study. In the kleptoplastidic M. rubrum, elemental quotas normalised to cell volume were slightly different from those of a previous study32, perhaps due to the differences between works in the nutrient load of the growth medium. We could not find any elemental content profile in the literature for K. armiger, but our C estimate agreed well with the ones calculated on the basis of general equations developed for athecate dinoflagellates33.

Regarding the elemental composition of our autotrophic K. veneficum strain, our values matched those reported by Li et al. under Redfield nutrient proportions34. Some authors have reported a correlation between the ingestion rate of K. veneficum and the predator C quota34, which might explain the increase in C content observed in our mixotrophic K. veneficum compared to the phototrophic cultures (Table 1). Generally, small-intermediate sized mixoplankton tend to feed on C-rich phototrophs when light or nitrogen-depleted27. Furthermore, it is worth noting that karlotoxins are C-rich structures, which are produced in higher proportion under nutrient limitation and during active feeding35,36. Then, it is possible that the C quota of the mixotrophic K. veneficum was higher than that of autotrophic cultures due to the use of karlotoxins for phagotrophy34. We unfortunately did not measure toxin content in our experiments.

The ingestion rates of P. grani female fell within the range of values previously reported for this copepod species under high concentrations of R. salina37, Heterocapsa sp.38, T. weissflogii39 and O. marina40, and for the closely-related Acartia tonsa on similarly-sized prey39,41,42. Regarding stoichiometric ratios as proxy of food quality, we found a relationship between copepod ingestion rate and prey N:P ratio (Fig. 2b), indicating that P-poor prey were ingested at higher rate, probably as a means to compensate for the lack of the specific nutrient43, although copepod response to nutrient deficient-prey may also be unaffected as previously demonstrated38. However, the amount of variance in ingestion rates explained by prey N:P ratio was rather modest (30%), and was basically driven by the data relative to M. rubrum and T. weissflogii. Conversely, as could be anticipated, prey size appeared to be the most relevant factor to consider when interpreting our results. Thus, ingestion rates of P. grani increased with prey size up to an optimum, and then declined when fed the largest prey tested, S. arenicola, resulting in values similar to those exhibited for much smaller prey species (i.e., Heterocapsa sp.) (Fig. 2a). Such dome-shaped relationship between feeding rates and prey size are already known for copepods3,28,44. Very small prey are hardly perceived or retained efficiently, whereas larger prey may either exhibit strong escape responses or require longer handling by the copepod45 or being too big to be fully ingested3. The optimal prey size range (13–18 µm) for P. grani observed in our study fits well with the values reported for adult A. tonsa44.

Although egestion rates and pellet size of P. grani varied largely among prey, they were not correlated with either ingestion rates or prey size and were independent of prey stoichiometry (Table S1) or of prey nutritional strategy (Fig. 3a–c), as also reported for A. tonsa fed different autotrophic and heterotrophic protists42,46. Copepod fecal pellet size and density have been shown to be either related to47 or independent of food concentration. However, in our experiments, copepods were always above satiation level, thus the differences reported herein must result from species-specific particularities in the degree of prey packaging. Our pellet volume estimates agree with previous reports on A. tonsa fed saturating concentration of various prey over a size range between 7 and 20 µm42. The large pellet volume on a diatom-diet was expected, since diatom siliceous materials are not digested within copepod intestinal tract and fecal pellets appear larger and more resistant compared to the ones egested under soft diet42,48,49. The increase in pellet size recorded in the mixotrophic K. veneficum diet, compared to the two autotrophic cultures of this species, may be the consequence of the phagotrophic activity of the dinoflagellate on R. salina. It is possible that the dinoflagellate might change composition when grown mixotrophically50, yielding different pellet volume in copepods. In general terms, enhanced egestion rates due to increase in pellet dimension under functionally mixotrophic K. veneficum diet (Table 2) would have an influence in the recycling of organic matter within the microbial food web, as fecal pellet size (and density) normally determines their sinking rates, modifying the export production out of the photic layer42.

The analysis of the egestion/ingestion (E/I) ratio, based on volumetric data (Fig. 3d), may be more informative than the sole comparison of egestion rates, as it considers the amount (volume) of prey ingested. The calculated E/I ratios overall had no clear relationship with prey size, prey stoichiometry or prey trophic mode, showing distinctively high values when copepods were fed the cryptophyte R. salina and the diatom T. weissflogii. Comparing our E/I ratio for T. weissflogii (44%) with those obtained by Besiktepe and Dam (58%)42, it is rather clear that the diatom is largely undigested by Acartia spp. due to the presence of a siliceous frustule. In contrast, our E/I ratio for R. salina (33%) is higher than those obtained in their study for similarly-sized soft prey such as Dunaliella tertiolecta (4%) and Uronema sp. (7%)42. The reason for the high E/I ratio when fed R. salina is less clear. Assuming the copepod absorption efficiency to be the reciprocal of the E/I ratio, our estimated copepod absorption efficiency (on a volumetric basis) would be 63% for R. salina and 62% for T. weissflogii, whereas in all the other prey tested the values fell within the very high range (> 90%). In this regard, Thor and Wendt51 compared the carbon absorption efficiency of A. tonsa fed different prey51. These authors found that at high R. salina concentrations the copepod carbon absorption efficiency was particularly lower (53%) than when fed other species (T. weiisflogii: 63%, D. terctiolecta: 77%), hence resulting in much higher expected egestion rates, in agreement with our results51.

Ingested food is eventually respired, egested and excreted as discarded materials and solutes, and when exceeding the basal metabolic requirements, it is finally incorporated into the body as reserves, growth or reproductive output. In our experiments, P. grani egg production rate increased with ingestion rate, maximum values reached on a diet of the heterotrophic ciliate S. arenicola, closely followed by R. salina, O. marina and Heterocapsa sp. (Fig. 4a). The egg production rates obtained in our experiments match previous values reported on P. grani feeding on some of the tested prey (O. marina, R. salina, Heterocapsa sp.)38,40,52. However, the increase in egg production was not always coherent with ingestion rate. In fact, surprisingly, T. weissflogii, M. rubrum and G. dominans, which fall in the preferred prey size range (13–18 µm), yielded rather low reproductive output compared to the corresponding ingestion rate (Fig. 5b). In the case of the diatom, the presence of silica frustule48 and the abovementioned drop in absorption efficiency may help explain the lower fecundity. Since no relationship was found between egg production and prey stoichiometric traits (Table S1), it is possible that the prey which resulted in comparatively low egg production rates were presumably deficient in some essential fatty acids or other compounds essential to copepod reproduction and recruitment8. Unexpectedly, the egg production rate of P. grani when offered K. veneficum was similar between mixotrophic and autotrophic diets, regardless of the nutrient conditions (Table 2). We cannot discard, however, that the lack of apparent advantage in the reproductive output for copepods fed mixoplankton could be related to the degree of mixotrophic behaviour exhibited by our K. veneficum, with rather moderate ingestion rates (maximum daily intakes of 1 R. salina grazer−153). K. armiger, on the other hand, promoted higher egg production rate. K. armiger is known to graze on a greater extent (ca. 9 R. salina grazer−1 d−1) compared to the congeneric K. veneficum54, thus, perhaps contributing to enhanced nutrient transfer to the predator in our study.

Our main aim was to assess the gross-growth efficiency of copepods when fed diets of different nutritional mode. Although egg production rates per se are a very useful proxy to understand the overall impact of a prey on secondary production, the normalization of the reproductive rate per amount of food ingested allows a better picture of the prey nutritional quality. The gross-growth efficiency for C in marine calanoid copepods under optimal conditions usually falls around 30–40%44,55. Without distinction on the basis of prey trophic mode, several of the diets we tested reached these high efficiency values in agreement with other studies56,57. Other diets, however, proved to be less efficient, e.g., M. rubrum and G. dominans (Fig. 5a). Considering the dependency of ingestion on prey size, one may argue that prey size constraints (i.e. sloppy feeding) could be the source of the particularly low gross-growth efficiency (3–8%) measured for these large species. Large prey might not be ingested in their entirety, therefore resulting in overestimation of actual ingestion rates when the food removal methods is applied3,4. Using the equations provided by Møller4 to calculate the expected prey size-dependent loss of organic matter by copepod sloppy feeding, the overestimation of C intake due to sloppy feeding in our study would account for up to 13%. Such augmented values would negligibly affect our gross-growth efficiency estimates (only 0.6 and 1.4% increase for the M. rubrum and G. dominans diets, respectively). Therefore, these corrections assuming sloppy feeding would not be sufficient to explain the huge discrepancy found between ingestion and reproduction under these diets. Moreover, we did not observe lower gross-growth efficiency in P. grani when fed even larger prey, S. arenicola, confirming that sloppy feeding alone cannot be the source of low reproductive output under M. rubrum and G. dominans diets. Alternatively, we may suggest toxicity (as observed in some diatom species58) or deficient food quality in these prey7,30,56. Concerning low nutritional quality arguments (stoichiometric constraints), one would expect some compensatory feeding as demonstrated to occur in A. tonsa fed nutrient-deficient algae43. In our study, high N:P prey such as M. rubrum were ingested at higher rates (Fig. 2b). Yet, no significant relationship emerged between gross-growth efficiency and prey N:P ratio (Table S1), hence rendering stoichiometric arguments rather weak in explaining the variations observed. Additionally, as mentioned before, fatty acids are essential dietary constituents in copepod reproduction. We did not determine the fatty acid contents and composition of our tested prey, but for some of them fatty acid data can be found in the literature and may help to interpret our results. Thus, in accordance with our results for M. rubrum and G. dominans, Broglio et al.7 found that diets of the heterotrophic M. pulex and G. dominans were less nutritional to A. tonsa compared to the cryptophyte R. salina. A positive correlation was found between reproduction and ingested fatty acids (especially the ratio between 22:6ω3 and 20:5ω3), but no specific dependency was determined on the basis of prey nutritional strategy, reinforcing our observations7. In their study the low performance of M. pulex and G. dominans was attributed to the lower 22:20 ratio, which is known to influence the reproductive performance in crustaceans7.

Concerning the effects of trophic mode on the nutritional value of K. veneficum, we observed a drop in gross-growth efficiency when copepods were fed on the dinoflagellate acting as mixoplankton, contrarily to literature and model expectations (Fig. 5a, Table 2). As mentioned before, K. veneficum exhibits variation in the phagotrophic tendency22,53 and produces karlotoxins (although with a large variability between strains35) to immobilize its prey prior to capture. Therefore, it could be hypothesized a possible involvement of toxic weapons against R. salina on which the dinoflagellate was feeding before being offered to the copepods36. Nevertheless, in our experiments any possible allelopathic effects were not enough to trigger deadly outcomes on the copepods throughout the 5 days of exposure and, although the gross-growth efficiency of the copepod was clearly lower, this was still comparable to those yielded under other non-toxic diets (O. marina, Heterocapsa sp., T. weissflogii). Although K. veneficum has been reported toxic in occasions for copepods, in our experiments we did not observe any enhanced mortality or sublethal effects (abnormal motility) compared to the other prey. Furthermore, in other independent experiments (unpublished data), we observed that the mortality of P. grani along ontogeny on a diet of both functionally autotrophic (20%) and mixotrophic K. veneficum (16%) was overall comparable to that registered on a monodiet of R. salina (20%) (Traboni et al., unpubl). This renders K. veneficum suitable prey for P. grani and valid for comparison with the other species tested, despite its acknowledged toxicity. The gross-growth efficiency on a diet of K. armiger was considerably high, despite the species has been demonstrated to have detrimental acute effects on other Acartia species when offered at saturating concentrations22. Perhaps toxicity is boosted upon ammonium addition as nitrogen source59, which was not the case in our culture medium. This hypothesis stresses the importance of nutrient types other than ratios for mixotrophic growth and toxicity to be tested in future experiments.

Finally, egg hatching success was, in most cases, relatively high and differences recorded were not related to the prey trophic mode neither across diets nor among K. veneficum trophic types (Fig. 4b). For Acartia sp., similar or slightly higher hatching rates were reported on natural plankton assemblage as well as on monodiets of R. salina, G. dominans and O. marina in the range between 67 and 91%40,45,52,60. Our hatching rates dropped in only a few cases, specifically on a diet of M. rubrum and Heterocapsa sp. In Broglio et al.7, lower hatching (20–60%) was recorded in A. tonsa fed the ciliate S. sulcatum and more generally hatching was found to be related to the ingestion of certain polyunsaturated fatty acids (PUFAs), stressing the importance of fatty acid composition for egg viability7. The same hypothesis, however, cannot be made for Heterocapsa sp., whose reported content of cellular PUFA57 is similar to that of other species which yielded high hatching rates in the above mentioned studies. Phosphorus depletion has been proposed as additional limiting conditions for copepod development in both field61 and laboratory experiments38. Even if moderate, we observed increased hatching rate in copepods fed low C:P prey (Table S1); yet, this relationship seems to be no longer significant if high-C:P M. rubrum is removed. Although copepod C-ingestion and prey N:P ratio were positively related, the calculated P ingestion rates on M. rubrum and Heterocapsa sp. are not different from other species tested (between 1 and 4 × 10–7 µg P ind−1 d−1) and cannot explain the variation in hatching rates we observed.

To our knowledge this is the first attempt at evaluating the actual nutritional contribution that mixoplankton may have on marine copepods. Most studies that have focused on mixotrophic species as prey for copepod feeding experiments have not used functionally phagotrophic mixoplankton (i.e. feeding on other protists). Although until relatively recently mixoplankton was considered a rare fact, the current gap in the empirical observation of mixoplankton role in copepod diet is also a consequence of the challenge in reaching considerable standing stocks for experimentation under controlled phagotrophic status15.

Overall, we found that only moderate relationship existed between copepod ingestion rate with the prey N:P ratio and size. None of the reproductive parameters was substantially affected by nutritional quality proxies due to the intraspecific variability among prey traits and the lack of a clear pattern placing mixotrophs on a different nutritional quality level with respect to other protists, according to their stoichiometry. We conclude that in the conditions tested mixoplankton proved to be as nutritional as the strict phago- and autotrophs to P. grani. Mixotrophic K. veneficum diet under our conditions did not enhance copepod gross-growth efficiency in remarkable fashion compared to the obligate autotrophic dinoflagellates; instead, it represented a less valuable prey, perhaps due to a presumably certain degree of toxicity associated to the phagotrophic behaviour, and it promoted larger fecal pellets with potential consequences on C export rate. We postulate that our experimental conditions could not trigger significant variation in copepod physiology because of the resemblance of our mixotrophic strains to strict photo- or heterotrophic food. In other words, the limited reliance of K. veneficum on phagotrophy could have flattened important differences on copepod performance relative to strict autotrophic K. veneficum diets. Additional studies with other mixoplankters and other copepod species may help to provide clearer and more robust conclusions on the role of mixotrophy on the carbon transfer mediated by copepods to upper trophic levels. Moreover, since nutrient ratios are known to be environmental forcing triggering a switch in protist trophic mode, we acknowledge the need to assess in future research whether mixoplankton may change their quality and influence higher predators as a result of stronger nutrient regime shifts and higher prey availability.

Materials and methods

Copepod cultures

The calanoid copepod Paracartia grani used in the experiments originates from a culture maintained at the ICM52. The copepods were grown in 20–40 L tanks in a cold room at 19 °C and 10:14 light:dark cycle, and routinely fed the cryptophyte Rhodomonas salina. New copepod cohorts were set-up by siphoning the bottom of the culture tanks, and transferring the newly-collected eggs into a new tank. After hatching, the copepods were supplied with increasing concentrations of R. salina along development up to approx. 30,000 cells mL−1 (1000 µg C L−1) when adults. Only less than 2-week old healthy adult females were used in the experiments.

Protist cultures

All prey species were grown non-axenically in batch cultures at 38 psu and 19 °C. The functionally autotrophic species tested were the cryptophyte R. salina, the diatom Thalassiosira weissflogii and the thecate dinoflagellate Heterocapsa sp., all growing exponentially in constantly aerated f/2 medium (+Si for T. weissflogii) under high light (90–100 μmol photons m−2 s−1). Heterocapsa and Rhodomonas species have been reported to be able to feed on bacteria when environmental conditions challenge the strict autotrophic metabolism (5–13 bacteria protist−1 h−1 in Heterocapsa rotundata by food removal method62 and < 1 bacteria protist−1 in Rhodomonas sp. analysing the food vacuole content63). However, in our conditions, we assume that plenty of inorganic nutrients and high irradiance levels would limit bacterial uptake to negligible rates, conferring both species in our study the role of autotrophs. As strict heterotrophic protists, cultures of the athecate dinoflagellates Gyrodinium dominans and Oxyrrhis marina and of the ciliate Strombidium arenicola were grown in non-aerated filtered seawater (FSW) with a daily supply of R. salina. Finally, we selected the non-constitutive mixoplanktonic ciliate Mesodinium rubrum (reared in non-aerated FSW on a diet of the cryptophyte Teleaulax amphioxeia) and two athecate dinoflagellates, Karlodinium veneficum and Karlodinium armiger as constitutive mixoplankton; both Karlodinium species were reared in FSW and supplied R. salina during the culturing period. In the case of K. veneficum, we further explored the effects of nutrient status and trophic strategy “within species”. Thus, K. veneficum was grown in constant aeration both as strict autotrophic under two contrasted nutrient environments (f/2 medium vs. FSW), and as mixotroph in low-nutrient conditions (FSW + R. salina). This species is more flexible than our K. armiger strain and M. rubrum as the latter depend on food supply for their growth64,65, limiting our possibilities of testing them as pure autotrophs. Generally, to prevent overgrowth of prey in the mixoplankton and heterotrophic cultures, grazers were kept in semi-saturating food conditions. Further details in growth conditions can be found in Table 3. Standing stocks of the cultures were determined with a Multisizer III particle counter (Beckman Coulter) or by Sedgewick-Rafter counts.

Table 3 Growth conditions of the different prey species.

Experimental setting

Copepod experiments consisted of a preconditioning period (4–5 days) followed by 24 h incubations for the determination of ingestion and egg production rates; both the preconditioning and experimental periods were carried out at saturating food concentrations (Table 1). We chose the long preconditioning to minimize food history effects on egg production66. Protist cultures were up-scaled to different final volumes based on experimental needs (Table 3). Batch cultures of the autotrophic prey were diluted on a daily basis to keep them in exponential growth. Regarding the mixo- and heterotrophs, when sufficient amounts were reached, we split the standing stocks into 5 1-L Pyrex bottles (or round-bottom flasks). These 5 individual new stocks were served to feed the copepods during each of the 4 preconditioning days and the experimental day. All grazer cultures were routinely food-replenished except the ones to be immediately used, which were left 24 h in starvation before being offered to the copepods, allowing the depletion of their own prey. Only S. arenicola and O. marina, which exhibited very fast prey removal, were fed until the last 24 h to avoid potential nutritional impoverishment. By following this protocol, copepods ingested prey of the same food quality throughout the preconditioning and experimental periods. R. salina and T. amphioxeia concentrations in mixo- and heterotrophic protist cultures were determined with the particle counter and/or by microscopic counts, ensuring no substantial cryptophyte biomass would be available to copepods in food suspensions (< 0.1 µg C L−1). Prey suspensions for copepod experiments were prepared by diluting the culture stocks to the desired concentrations, and adjusted with the Multisizer particle counter, which served for both enumeration of prey suspensions and estimation of cell volume. In the case of the ciliates M. rubrum and S. arenicola, which may escape from the particle counter flow, 10 mL samples were preserved in acetic Lugol’s solution (2% final concentration), and their concentrations determined under the microscope. For these latter species, however, cell volume was measured from live counts with the particle counter.

For preconditioning, groups of adult females (60–200 according to experimental needs) were sorted from the cohorts and transferred into 4 L Nalgene polycarbonate bottles filled with the respective food suspensions prepared in FSW (Table 1). Each bottle was amended with 5 mL of f/2 medium L−1 (f/2 + Si for T. weissflogii) to minimize the effects of copepod excretion31. Bottles were maintained at low irradiance (10 μmol photons m−2 s−1) to avoid prey overgrowth. Every day, 75% of the content of each preconditioning bottle was siphoned out with a silicone tube fitted with 20–40 µm mesh net (according to prey size) to avoid losing the copepods, and subsequently the bottles were refilled with fresh prey suspensions at the corresponding concentrations (Table 1). By this way, we ensured minimal stress and no loss of animals during refilling procedures.

The day of the experiment, 613 mL wide-mouth Pyrex bottles were carefully filled with new food suspensions (Table 1) in four sequential steps, gently mixing before refilling. The 24 h incubations comprised one start (to account for the initial prey concentration), four control (copepod-free) and four grazing (with added copepods) bottles. Copepods were retrieved from the preconditioning bottles by gentle filtration on a 200 µm mesh sieve, transferred to a Petri dish and then pipetted out into the experimental Pyrex bottles. The number of copepods used (8–26), reflected the prey size and the a priori expected clearance rates37,40. Thereafter, the start bottle was sacrificed to assess the initial prey concentration, and the remaining bottles were capped, checked for the presence of air bubbles and placed on a rotating Ferris wheel (0.2 rpm). Some extra copepods were fixed in formaldehyde (4% final concentration) and photographed under the inverted microscope (40 × magnification) for size measurements. The prosome length was determined with the software ImageJ.

After 20–24 h, the bottles were removed from the wheel and their contents filtered through 200 µm sieves to collect the copepods; control bottles were treated similarly for consistency. Copepods were checked for their condition, anesthetized with MS22252 and counted. Then, the 200-µm sieved water was thoroughly homogenized and 50–100 mL samples were taken for either the particle counter or microscopic counts (Lugol’s solution samples). Finally, the whole remaining content (400–500 mL) was filtered onto a 20 μm sieve (rinsed three times) to collect eggs and fecal pellets. These were transferred onto Petri dishes where fecal pellets were counted fresh after collection to calculate egestion rate. After counting, fecal pellets and eggs were photographed (100–200 × magnification; LEICA-MC170 HD) and then promptly incubated at 19 °C. After 48 h, the Petri dishes containing eggs and fecal pellets were preserved with Lugol’s solution; unhatched eggs and nauplii were enumerated to calculate egg production and hatching success. Egg shells contained in fecal pellets were taken into account for egg production rates39. Eggs and fecal pellet size was measured using the software ImageJ. Contours of eggs/pellets were traced and fit to a geometrical ellipsoid for the posterior calculation of biovolume.

Copepod feeding rates were calculated from prey removal according to Frost’s equations67. Egestion rates were expressed as number of fecal pellets and also as biovolume of fecal pellet produced. The ratio of egestion rate to ingestion rate in biovolume terms, E/I ratio, was calculated as the quotient between egestion rates and ingestion rates (both in µm3 ind−1 d−1 units), expressed as percentage.

Hatching success was estimated as percentage of nauplii hatched after 48 h, based on the initial egg number. Ingestion and egg production rates were converted into µg Cprey ind−1 d−1 using respectively the prey carbon contents analysed in this study (see below) and the P. grani egg content provided by Saiz et al.68. Gross-growth efficiency (as %) was calculated as the quotient between egg production rates and ingestion rates, both expressed in carbon terms.

Elemental analysis

Prior to each experimental incubation, we filtered aliquots of the prey stocks onto pre-combusted (450 °C, 5 h) GF/F filters (Whatman, 25 mm) for determination of the carbon (C), nitrogen (N) and phosphorus (P) elemental composition. The filters for CN analysis were oven-dried at 60 °C, 48–72 h and then stored in a desiccator until processing with a Flash EA1112 (Thermo Finnigan) CHNS analyser. The filters for P analysis were immediately frozen at −80 °C until processing. P samples were processed as in Isari et al.38 applying the acid persulfate digestion method and posterior conversion to dissolved inorganic P with a Seal Analytical AA3 (Bran + Luebbe) analyser. In a few occasions, CNP profiles of the prey were not concurrent with the experiments, but done posteriorly. In those cases, we ensured similar culture growth conditions; a posteriori comparison with previously measured CNP contents from our culture collection revealed the suitability of elemental and stoichiometric data obtained. For the mixotrophic and heterotrophic protists, when small amounts of their own cryptophyte prey had remained at the time of preparing the experimental suspensions, their contribution to the elemental content of the copepod prey was subtracted after analysis. Stoichiometric ratios were calculated as molar ratios and propagation of error was taken into account due to independency between CN and P samples68.

Statistical analysis

Graphics and statistical analyses were conducted with the software SigmaPlot 14.0. Data were checked for normality (Shapiro–Wilk) and homoscedasticity (Brown-Forsythe). One-way ANOVA and post-hoc comparisons (Tukey HSD, Bonferroni tests) were performed to assess differences in the copepod physiological rates among functional trophic modes. Kruskal–Wallis and Dunn’s post hoc test were performed instead of ANOVA when homoscedasticity assumptions were not met. More specifically, we compared copepod physiological responses across all the diets under the three functional trophic modes (auto-, mixo-, heterotrophic); we did the same kind of analysis also independently for the specific K. veneficum comparisons (autotrophic in f/2, autotrophic in FSW and mixotrophic in FSW + R. salina). In addition, we tested for differences of copepod ingestion rate in relation to prey size classes applying the same procedure as with functional trophic modes. The size classes, small (7–13 µm), intermediate (13–18 µm) and large (18–31 µm), were established on the basis of optimal prey:predator ratio from previous works and on the likely occurrence of sloppy feeding4. Results were considered significant at the 0.05 level. Generally, in case of non-significant comparisons, only P values from ANOVA and Kruskal–Wallis tests are reported; on the contrary, if those tests yielded significant differences (by default P < 0.05), only P values relative to the post-hoc analysis are reported. Simple linear regression analyses were conducted between copepod physiological responses and prey stoichiometric traits as proxies of food quality (one-way ANOVA output reported). Graphical exploration of morpho-stoichiometric characteristics of prey species and clustering of prey trophic modes was performed with a multivariate Principal Component Analysis (PCA).

Data availability

Requests regarding the dataset generated during the current study should be addressed to C.T.

References

  1. 1.

    Almeda, R. et al. Trophic role and carbon budget of metazoan microplankton in northwest Mediterranean coastal waters. Limnol. Oceanogr. 56, 415–430 (2011).

    ADS  CAS  Google Scholar 

  2. 2.

    Hansen, B., Bjornsen, P. K. & Hansen, P. J. The size ratio between planktonic predators and their prey. Limnol. Oceanogr. 39, 395–403 (1994).

    ADS  Google Scholar 

  3. 3.

    Saiz, E., Griffell, K., Calbet, A. & Isari, S. Feeding rates and prey: predator size ratios of the nauplii and adult females of the marine cyclopoid copepod Oithona davisae. Limnol. Oceanogr. 59, 2077–2088 (2014).

    ADS  Google Scholar 

  4. 4.

    Møller, E. F. Production of dissolved organic carbon by sloppy feeding in the copepods Acartia tonsa, Centropages typicus, and Temora longicornis. Limnol. Oceanogr. 52, 79–84 (2007).

    ADS  Google Scholar 

  5. 5.

    Saiz, E., Calbet, A., Irigoien, X. & Alcaraz, M. Copepod egg production in the western Mediterranean: response to food availability in oligotrophic environments. Mar. Ecol. Prog. Ser. 187, 179–189 (1999).

    ADS  Google Scholar 

  6. 6.

    Kiørboe, T. & Saiz, E. Planktivorous feeding in calm and turbulent environments, with emphasis on copepods. Mar. Ecol. Prog. Ser. 122, 135–146 (1995).

    ADS  Google Scholar 

  7. 7.

    Broglio, E., Jónasdóttir, S. H., Calbet, A., Jakobsen, H. H. & Saiz, E. Effect of heterotrophic versus autotrophic food on feeding and reproduction of the calanoid copepod Acartia tonsa: relationship with prey fatty acid composition. Aquat. Microb. Ecol. 31, 267–278 (2003).

    Google Scholar 

  8. 8.

    Kleppel, G. S. & Burkart, C. A. Egg production and the nutritional environment of Acartia tonsa: the role of food quality in copepod nutrition. ICES J. Mar. Sci. 52, 297–304 (1995).

    Google Scholar 

  9. 9.

    Tang, K. W. & Dam, H. G. Limitation of zooplankton production: beyond stoichiometry. Oikos 84, 537–542 (1999).

    Google Scholar 

  10. 10.

    Twining, B. S., Baines, S. B. & Fisher, N. S. Element stoichiometries of individual plankton cells collected during the Southern Ocean Iron Experiment (SOFeX). Limnol. Oceanogr. 49, 2115–2128 (2004).

    ADS  CAS  Google Scholar 

  11. 11.

    Saiz, E. & Calbet, A. Copepod feeding in the ocean: scaling patterns, composition of their diet and the bias of estimates due to microzooplankton grazing during incubations. Hydrobiologia 666, 181–196 (2011).

    CAS  Google Scholar 

  12. 12.

    Broglio, E., Saiz, E., Calbet, A., Trepat, I. & Alcaraz, M. Trophic impact and prey selection by crustacean zooplankton on the microbial communities of an oligotrophic coastal area (NW Mediterranean Sea). Aquat. Microb. Ecol. 35, 65–78 (2004).

    Google Scholar 

  13. 13.

    Irigoien, X. et al. Copepod hatching success in marine ecosystems with high diatom concentrations. Nature 419, 387–389 (2002).

    ADS  CAS  PubMed  Google Scholar 

  14. 14.

    Stoecker, D. K., Hansen, P. J., Caron, D. A. & Mitra, A. Mixotrophy in the marine plankton. Ann. Rev. Mar. Sci. 9, 311–335 (2017).

    PubMed  Google Scholar 

  15. 15.

    Flynn, K. J. et al. Mixotrophic protists and a new paradigm for marine ecology: where does plankton research go now?. J. Plankton Res. 41, 375–391 (2019).

    Google Scholar 

  16. 16.

    Mitra, A. et al. Defining planktonic protist functional groups on mechanisms for energy and nutrient acquisition: incorporation of diverse mixotrophic strategies. Protist 167, 106–120 (2016).

    CAS  PubMed  Google Scholar 

  17. 17.

    Ptacnik, R., Sommer, U., Hansen, T. & Martens, V. Effects of microzooplankton and mixotrophy in an experimental planktonic food web. Limnol. Oceanogr. 49, 1435–1445 (2004).

    ADS  Google Scholar 

  18. 18.

    Moorthi, S. D. et al. The functional role of planktonic mixotrophs in altering seston stoichiometry. Aquat. Microb. Ecol. 79, 235–245 (2017).

    Google Scholar 

  19. 19.

    Ward, B. A. & Follows, M. J. Marine mixotrophy increases trophic transfer efficiency, mean organism size, and vertical carbon flux. Proc. Natl. Acad. Sci. 113, 2958–2963 (2016).

    ADS  CAS  PubMed  Google Scholar 

  20. 20.

    Waggett, R. J., Tester, P. A. & Place, A. R. Anti-grazing properties of the toxic dinoflagellate Karlodinium veneficum during predator-prey interactions with the copepod Acartia tonsa. Mar. Ecol. Prog. Ser. 366, 31–42 (2008).

    ADS  Google Scholar 

  21. 21.

    Xu, J., Nielsen, L. T. & Kiørboe, T. Foraging response and acclimation of ambush feeding and feeding-current feeding copepods to toxic dinoflagellates. Limnol. Oceanogr. 63, 1449–1461 (2018).

    ADS  Google Scholar 

  22. 22.

    Berge, T., Poulsen, L. K., Moldrup, M., Daugbjerg, N. & Hansen, P. J. Marine microalgae attack and feed on metazoans. ISME J. 6, 1926–1936 (2012).

    CAS  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Vaqué, D. et al. Effects of the toxic dinoflagellate Karlodinium sp. (cultured at different N/P ratios) on micro and mesozooplankton. Sci. Mar. 70, 59–65 (2006).

    Google Scholar 

  24. 24.

    Delgado, M. & Alcaraz, M. Interactions between red tide microalgae and herbivorous zooplankton: the noxious effects of Gyrodinium corsicum (Dinophyceae) on Acartia grani (Copepoda: Calanoida). J. Plankton Res. 21, 2361–2371 (1999).

    Google Scholar 

  25. 25.

    D’Alelio, D. et al. The green-blue swing: plasticity of plankton food-webs in response to coastal oceanographic dynamics. Mar. Ecol. 36, 1155–1170 (2014).

    ADS  Google Scholar 

  26. 26.

    Mitra, A. et al. The role of mixotrophic protists in the biological carbon pump. Biogeosciences 11, 995–1005 (2014).

    ADS  Google Scholar 

  27. 27.

    Ho, P. C. et al. Body size, light intensity, and nutrient supply determine plankton stoichiometry in mixotrophic plankton food webs. Am. Nat. 195, E100–E111 (2020).

    PubMed  Google Scholar 

  28. 28.

    Helenius, L. K. & Saiz, E. Feeding behaviour of the nauplii of the marine calanoid copepod Paracartia grani Sars: functional response, prey size spectrum, and effects of the presence of alternative prey. PLoS ONE 12, 1–20 (2017).

    Google Scholar 

  29. 29.

    Henriksen, C. I., Saiz, E., Calbet, A. & Hansen, B. W. Feeding activity and swimming patterns of Acartia grani and Oithona davisae nauplii in the presence of motile and non-motile prey. Mar. Ecol. Prog. Ser. 331, 119–129 (2007).

    ADS  Google Scholar 

  30. 30.

    Calbet, A. et al. Adaptations to feast and famine in different strains of the marine heterotrophic dinoflagellates Gyrodinium dominans and Oxyrrhis marina. Mar. Ecol. Prog. Ser. 483, 67–84 (2013).

    ADS  Google Scholar 

  31. 31.

    Isari, S. & Saiz, E. Feeding performance of the copepod Clausocalanus lividus (Frost and Fleminger, 1968). J. Plankton Res. 33, 715–728 (2011).

    Google Scholar 

  32. 32.

    Tong, M., Smith, J. L., Kulis, D. M. & Anderson, D. M. Role of dissolved nitrate and phosphate in isolates of Mesodinium rubrum and toxin-producing Dinophysis acuminata. Aquat. Microb. Ecol. 75, 169–185 (2015).

    PubMed  PubMed Central  Google Scholar 

  33. 33.

    Menden-Deuer, S. & Lessard, E. J. Carbon to volume relationships for dinoflagellates, diatoms, and other protist plankton. Limnol. Oceanogr. 45, 569–579 (2000).

    ADS  CAS  Google Scholar 

  34. 34.

    Li, A., Stoecker, D. K. & Coats, D. W. Mixotrophy in Gyrodinium galatheanum (Dinophyceae): grazing responses to light intensity and inorganic nutrients. J. Phycol. 36, 33–45 (2000).

    CAS  Google Scholar 

  35. 35.

    Adolf, J. E., Bachvaroff, T. R. & Place, A. R. Environmental modulation of karlotoxin levels in strains of the cosmopolitan dinoflagellate, Karlodinium veneficum (Dinophyceae). J. Phycol. 45, 176–192 (2009).

    CAS  PubMed  Google Scholar 

  36. 36.

    Sheng, J., Malkiel, E., Katz, J., Adolf, J. E. & Place, A. R. A dinoflagellate exploits toxins to immobilize prey prior to ingestion. Proc. Natl. Acad. Sci. 107, 2082–2087 (2010).

    ADS  CAS  PubMed  Google Scholar 

  37. 37.

    Olivares, M., Saiz, E. & Calbet, A. Ontogenetic changes in the feeding functional response of the marine copepod Paracartia grani. Mar. Ecol. Prog. Ser. 616, 25–35 (2019).

    ADS  CAS  Google Scholar 

  38. 38.

    Isari, S., Antó, M. & Saiz, E. Copepod foraging on the basis of food nutritional quality: can copepods really choose?. PLoS ONE 8, 1–12 (2013).

    Google Scholar 

  39. 39.

    Saiz, E., Alcaraz, M. & Paffenhöfer, G. A. Effects of small-scale turbulence on feeding rate and gross-growth efficiency of three Acartia species (Copepoda: Calanoida). J. Plankton Res. 14, 1085–1097 (1992).

    Google Scholar 

  40. 40.

    Calbet, A., Saiz, E. & Barata, C. Lethal and sublethal effects of naphthalene and 1,2-dimethylnaphthalene on the marine copepod Paracartia grani. Mar. Biol. 151, 195–204 (2007).

    CAS  Google Scholar 

  41. 41.

    Saiz, E. & Kiørboe, T. Predatory and suspension feeding of the copepod Acartia tonsa in turbulent environments. Mar. Ecol. Prog. Ser. 122, 147–158 (1995).

    ADS  Google Scholar 

  42. 42.

    Besiktepe, S. & Dam, H. G. Coupling of ingestion and defecation as a function of diet in the calanoid copepod Acartia tonsa. Mar. Ecol. Prog. Ser. 229, 151–164 (2002).

    ADS  Google Scholar 

  43. 43.

    Burian, A., Grosse, J., Winder, M. & Boschker, H. T. S. Nutrient deficiencies and the restriction of compensatory mechanisms in copepods. Funct. Ecol. 32, 636–647 (2018).

    Google Scholar 

  44. 44.

    Berggreen, U., Hansen, B. & Kiørboe, T. Food size spectra, ingestion and growth of the copepod Acartia tonsa during development: implications for determination of copepod production. Mar. Biol. 99, 341–352 (1988).

    Google Scholar 

  45. 45.

    Broglio, E., Johansson, M. & Jonsson, P. R. Trophic interaction between copepods and ciliates: effects of prey swimming behavior on predation risk. Mar. Ecol. Prog. Ser. 220, 179–186 (2001).

    ADS  Google Scholar 

  46. 46.

    Feinberg, L. R. & Dam, H. G. Effects of diet on dimensions, density and sinking rates of fecal pellets of the copepod Acartia tonsa. Mar. Ecol. Prog. Ser. 175, 87–96 (1998).

    ADS  Google Scholar 

  47. 47.

    Dagg, M. J. & Walser, W. E. The effect of food concentration on fecal pellet size in marine copepods. Limnol. Oceanogr. 31, 1066–1071 (1986).

    ADS  CAS  Google Scholar 

  48. 48.

    Liu, H., Chen, M., Zhu, F. & Harrison, P. J. Effect of diatom silica content on copepod grazing, growth and reproduction. Front. Mar. Sci. 3, 1–7 (2016).

    Google Scholar 

  49. 49.

    Hansen, B., Fotel, F. L., Jensen, N. J. & Madsen, S. D. Bacteria associated with a marine planktonic copepod in culture. II. Degradation of fecal pellets produced on a diatom, a nanoflagellate or a dinoflagellate diet. J. Plankton Res. 18, 275–288 (1996).

    Google Scholar 

  50. 50.

    Li, A., Stoecker, D. K. & Adolf, J. E. Feeding, pigmentation, photosynthesis and growth of the mixotrophic dinoflagellate Gyrodinium galatheanum. Aquat. Microb. Ecol. 19, 163–176 (1999).

    Google Scholar 

  51. 51.

    Thor, P. & Wendt, I. Functional response of carbon absorption efficiency in the pelagic calanoid copepod Acartia tonsa Dana. Limnol. Oceanogr. 55, 1779–1789 (2010).

    ADS  Google Scholar 

  52. 52.

    Saiz, E. et al. Ageing and caloric restriction in a marine planktonic copepod. Sci. Rep. 5, 1–10 (2015).

    Google Scholar 

  53. 53.

    Calbet, A. et al. Intraspecific variability in Karlodinium veneficum: growth rates, mixotrophy, and lipid composition. Harmful Algae 10, 654–667 (2011).

    Google Scholar 

  54. 54.

    Arias, A., Saiz, E. & Calbet, A. Towards an understanding of diel feeding rhythms in marine protists: consequences of light manipulation. Microb. Ecol. 79, 64–72 (2020).

    PubMed  Google Scholar 

  55. 55.

    Hansen, P. J., Bjørnsen, P. K. & Hansen, B. W. Zooplankton grazing and growth: scaling within the 2–2,000-μm body size range. Limnol. Oceanogr. 42, 687–704 (1997).

    ADS  Google Scholar 

  56. 56.

    Kleppel, G. S., Burkart, C. A. & Houchin, L. Nutrition and the regulation of egg production in the calanoid copepod Acartia tonsa. Limnol. Oceanogr. 43, 1000–1007 (1998).

    ADS  Google Scholar 

  57. 57.

    Isari, S. et al. Lack of evidence for elevated CO2-induced bottom-up effects on marine copepods: a dinoflagellate–calanoid prey–predator pair. ICES J. Mar. Sci. 73, 650–658 (2016).

    Google Scholar 

  58. 58.

    Miralto, A. et al. The insidious effect of diatoms on copepod reproduction. Nature 402, 173–176 (1999).

    ADS  CAS  Google Scholar 

  59. 59.

    Rasmussen, S. A. et al. Karmitoxin: an amine-containing polyhydroxy-polyene toxin from the marine dinoflagellate Karlodinium armiger. J. Nat. Prod. 80, 1287–1293 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  60. 60.

    Rodriguez, V., Guerreo, F. & Bautista, B. Egg production of individual copepods of Acartia grani Sars from coastal waters: seasonal and diel variability. J. Plankton Res. 17, 2233–2250 (1995).

    Google Scholar 

  61. 61.

    Thingstad, T. F. et al. Nature of phosphorus limitation in the ultraoligotrophic eastern Mediterranean. Science (80-) 309, 1068–1071 (2005).

    ADS  CAS  Google Scholar 

  62. 62.

    Millette, N. C., Pierson, J. J., Aceves, A. & Stoecker, D. K. Mixotrophy in Heterocapsa rotundata: a mechanism for dominating the winter phytoplankton. Limnol. Oceanogr. 62, 836–845 (2016).

    ADS  Google Scholar 

  63. 63.

    Ballen-Segura, M., Felip, M. & Catalan, J. Some mixotrophic flagellate species selectively graze on archaea. Appl. Environ. Microbiol. 83, 1–11 (2017).

    Google Scholar 

  64. 64.

    Berge, T. & Hansen, P. J. Role of the chloroplasts in the predatory dinoflagellate Karlodinium armiger. Mar. Ecol. Prog. Ser. 549, 41–54 (2016).

    ADS  CAS  Google Scholar 

  65. 65.

    Smith, M. & Hansen, P. J. Interaction between Mesodinium rubrum and its prey: importance of prey concentration, irradiance and pH. Mar. Ecol. Prog. Ser. 338, 61–70 (2007).

    ADS  Google Scholar 

  66. 66.

    Saiz, E., Calbet, A., Trepat, I., Irigoien, X. & Alcaraz, M. Food availability as a potential source of bias in the egg production method for copepods. J. Plankton Res. 19, 1–14 (1997).

    Google Scholar 

  67. 67.

    Frost, B. W. Effects of size and concentration of food particles on the feeding behaviour of the marine planktonic copepod Calanus pacificus. Limnol. Oceanogr. 17, 805–815 (1972).

    ADS  Google Scholar 

  68. 68.

    Saiz, E., Griffell, K. & Calbet, A. Ontogenetic changes in the elemental composition and stoichiometry of marine copepods with different life history strategies. J. Plankton Res. 42, 320–333 (2020).

    Google Scholar 

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Acknowledgements

This research was supported by EC MSCA-ITN 2019 funding to the project MixITiN (Grant Number 766327). It is a contribution of the Marine Zooplankton Ecology Group (2017 SGR 87). We thank Kaiene Griffell (ICM-CSIC) for technical advice on protist and copepod culture maintenance, Per Juel Hansen (University of Copenhagen, Helsingør, DK) for providing some of the algal strains used, and Guilherme Duarte Ferreira (ICM-CSIC) for support in statistical data interpretation.

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C.T. contributed to data acquisition and analysis, data interpretation, preparation of figures and drafting of the manuscript. E.S. and A.C. contributed to design and conception of the experiment, data analysis and interpretation and drafting of the manuscript. All authors reviewed the manuscript.

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Correspondence to Claudia Traboni.

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Traboni, C., Calbet, A. & Saiz, E. Effects of prey trophic mode on the gross-growth efficiency of marine copepods: the case of mixoplankton. Sci Rep 10, 12259 (2020). https://doi.org/10.1038/s41598-020-69174-w

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