Journal of Eukaryotic Microbiology ISSN 1066-5234 ORIGINAL ARTICLE Growth, Grazing, and Starvation Survival in Three Heterotrophic Dinoflagellate Species Sean R. Anderson & Susanne Menden-Deuer Graduate School of Oceanography, University of Rhode Island, Narragansett, Rhode Island 02882 Keywords Starvation; food web; ingestion; phytoplankton patchiness; population dynamics; predation; protist. Correspondence S. Menden-Deuer, Graduate School of Oceanography, University of Rhode Island, 215 South Ferry Road, Narragansett, RI 02882, USA Telephone number: +1 (401) 874-6608; FAX number: +1 (401) 874-6728; e-mail: [email protected] Received: 16 June 2016; revised 29 July 2016; accepted July 31, 2016. doi:10.1111/jeu.12353 ABSTRACT To assess the effects of fluctuating prey availability on predator population dynamics and grazing impact on phytoplankton, we measured growth and grazing rates of three heterotrophic dinoflagellate species—Oxyrrhis marina, Gyrodinium dominans and Gyrodinium spirale—before and after depriving them of phytoplankton prey. All three dinoflagellate species survived long periods (> 10 d) without algal prey, coincident with decreases in predator abundance and cell size. After 1–3 wks, starvation led to a 17–57% decrease in predator cell volume and some cells became deformed and transparent. When reexposed to phytoplankton prey, heterotrophs ingested prey within minutes and increased cell volumes by 4–17%. At an equivalent prey concentration, continuously fed predators had ~2-fold higher specific growth rates (0.18 to 0.55 d1) than after starvation (0.16 to 0.25 d1). Maximum specific predator growth rates would be achievable only after a time lag of at least 3 d. A delay in predator growth poststarvation delays predator-induced phytoplankton mortality when prey re-emerges at the onset of a bloom event or in patchy prey distributions. These altered predator-prey population dynamics have implications for the formation of phytoplankton blooms, trophic transfer rates, and potential export of carbon. CARBON cycling in the ocean is mediated by predation on primary producers and the transfer of organic matter through planktonic food webs (Worden et al. 2015). Most predation loss of primary production is due to the grazing activity of microzooplankton (e.g. protists < 200 lm) (Sherr and Sherr 2002). These organisms, which are ubiquitous in marine ecosystems, have been estimated to consume ~67% of daily primary production, and typically exert a grazing impact on phytoplankton biomass exceeding that of copepods and other mesozooplankton (Calbet and Landry 2004; Campbell et al. 2009; Putland 2000; Sherr and Sherr 2002, 2007). Of these protists, heterotrophic dinoflagellates are particularly important, often accounting for more than half of the biomass of the microzooplankton (Kim and Jeong 2004; Lessard 1991; Sherr and Sherr 2007). The survival of herbivorous protists depends on the rates at which prey is encountered, which may be delayed by spatial and seasonal fluctuations in phytoplankton abundance or mismatches in predator and prey €fer et al. 2007). Patchiness types present (Fig. 1; Paffenho of phytoplankton can occur over wide spatial (micrometers-meters) and temporal (minutes-weeks) scales (McManus et al. 2003; Montagnes 1996). Moreover, phytoplankton abundance can fluctuate seasonally and remain low for weeks to months of the year in both polar and temperate regions (Sherr et al. 2009; Winder and Cloern 2010). While heterotrophic protists use foraging strategies and chemical cues (e.g. Menden-Deuer €nbaum 2006; Montagnes et al. 2008) to locate and Gru patches of high prey density, physical and temporal constrains may limit encounter. Based on realistic swimming rates (150–350 lm/s) and assuming phytoplankton are aggregated within a single layer within a 30 m water column (Menden-Deuer 2008), grazers would require 1–3 d to reach a prey layer. Therefore, even under optimal swimming conditions, grazers may be starved for a few days before prey is encountered. Additionally, changes in prey type, quality or size may affect prey availability, since many heterotrophic protists are selective feeders (Buskey 1997; Jakobsen and Hansen 1997; Montagnes et al. 2008). Patchy prey coupled with predator selection means suitable © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 1 Poststarvation Feeding in Heterotrophic Dinoflagellates prey may be rare at times and once prey has been exploited, protistan predators may be faced with prolonged periods of starvation, extending days to weeks depending on seasonality, patchiness, and phytoplankton community composition. The responses of diverse heterotrophic protists to famine-like conditions have been assessed in a variety of laboratory studies (Calbet et al. 2013; Fenchel 1982, 1989; Strom 1991). Heterotrophic dinoflagellates are known to survive starvation for longer periods than ciliates, which die within a matter of days when starved (Jackson and Berger 1984; Jeong and Latz 1994; Montagnes 1996; Strom and Morello 1998). Common dinoflagellates such as those in the genus Protoperidinium can survive beyond 20 d of starvation and up to 71 d at algal prey concentrations < 1 lg C/liter (MendenDeuer et al. 2005), and Gymnodinium may survive for 30 d (Strom 1991). Once starved, predator responses may involve increased feeding activity coupled with fast digestion times or increased food storage (Fenchel 1989; Menden-Deuer et al. 2005; Meunier et al. 2012). Upon commencing starvation, some heterotrophic grazers may undergo a residual cell division, producing smaller and faster daughter cells (termed swarmers) (Fenchel 1982, 1989). Possible secondary responses include the formation of temporary cysts, a reduction in metabolism, or reallocation of cellular reserves such as autophagy of the mitochondria (Calbet et al. 2013; Fenchel 1989; Hansen 1992; Menden-Deuer et al. 2005). Grazers may also utilize other food sources between blooms or when preferred prey is absent (bacteria or other heterotrophic protists) or adopt mixotrophy (Hansen 1992; Kim and Jeong 2004; Uchida et al. 1997). These survival responses to starvation are accompanied by energetic trade-offs that balance energy allocation to long-term survival vs. maintenance of prey ingestion capacity. Starved ciliates respond to newly added prey by immediate prey ingestion, though predator growth rate may lag depending on the duration of starvation (Fenchel 1982, 1989). In heterotrophic dinoflagellates, there has been only one study on starvation and subsequent re-feeding in the species Oxyrrhis marina and Gyrodinium dominans (Calbet et al. 2013). Calbet et al. (2013) reported both species were able to survive up to 12 d when starved, though significant decreases in cell size, respiration and fatty acid content were measured; both O. marina and G. dominans responded to prey poststarvation by increasing cell volume, though ingestion rates were initially depressed (Calbet et al. 2013). In the field, Saito et al. (2006) reported an increased abundance of Gyrodinium sp. over a period of days during an iron-enriched diatom bloom. These studies suggest that after relatively short starvation periods, heterotrophic dinoflagellates can rapidly resume grazing and exert predation pressure on phytoplankton. However, little is known about poststarvation predator population growth. Determining heterotrophic protist growth and feeding responses to poststarvation prey encounter is critical to understanding predator population dynamics and feeding impact on phytoplankton primary production and potential 2 Anderson & Menden-Deuer algal biomass accumulation. A significant delay in feeding or predator growth after starvation may have direct implications for how grazers survive when prey availability is low and adaptations to starvation may affect grazing success once prey is encountered (Sherr et al. 2003). Moreover, delays in the resumption of predator growth, and thus delay in the escalation of grazing pressure, may also help explain phytoplankton biomass accumulation at the initiation of a bloom event and could be a critical factor controlling carbon flux during this early-bloom period (Sherr and Sherr 2009). Despite the well-documented ability of heterotrophic dinoflagellates to survive starvation (Menden-Deuer et al. 2005; Strom 1991) and suggestions that predators can feed after starvation when prey is re-introduced (Calbet et al. 2013; Schmoker et al. 2011), there are, to our knowledge, no reports of heterotrophic dinoflagellate growth rates after starvation. The focus of this study was to compare the functional and numerical responses of three cosmopolitan heterotrophic dinoflagellates (O. marina, Gyrodinium spirale and G. dominans) in response to different food conditions (continuously-fed vs. starved) and over different time scales (hours vs. days). We assessed whether rapid ingestion by heterotrophic dinoflagellates after starvation results in immediate growth and thus by implication an escalation of predation pressure, or if there is a time lag before growth is resumed, as suggested by the work of Fenchel (1989) on ciliates. A better understanding of how heterotrophic dinoflagellates respond to prolonged periods of starvation and quantification of their growth with recurring prey will allow assessment of the impact of poststarvation predation rates under conditions when prey availability is limited in the marine environment (Fig. 1). MATERIALS AND METHODS Culture maintenance Predators Clonal cultures of G. spirale (PA300413), G. dominans (SPMC 103), and O. marina (SPMC 107) were established by single cell isolation. G. spirale originated from Narragansett Bay, RI (2013), while strains of G. dominans and O. marina are identical to the ones used in Strom et al. (2013). Oxyrrhis marina cultures used for starvation experiments were non-axenic, though algal prey was depleted in starvation experiments. All heterotroph cultures were maintained in 1-liter polycarbonate (PC) bottles on a 12 h:12 h light–dark cycle at 14.5 °C, salinity of ~30 psu, and a light intensity of 8–15 lmol photons/m2s. Unless specified otherwise, heterotrophs were fed twice per week with the prey culture Heterocapsa triquetra to a final concentration of ~2,000 cells/ml and refreshed with filtered seawater (FSW). Prey Three phytoplankton species were cultured for use in feeding experiments. The mixotrophic dinoflagellate H. triquetra © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 Anderson & Menden-Deuer Poststarvation Feeding in Heterotrophic Dinoflagellates Figure 1 Prey availability to herbivorous predators can fluctuate due to (A) spatial heterogeneity in prey distribution, (e.g. plankton layers) that may not always be overcome despite predator motility and foraging strategies, (B) seasonal variations of phytoplankton biomass and (C) a mismatch between predators and phytoplankton type present. Graph in panel (B) is based on averaged monthly surface chlorophyll (2004–2014) taken from the Narragansett Bay long term plankton times series at the Graduate School of Oceanography at the University of Rhode Island. (CCMP 448), the diatom Skeletonema marinoi (CCMP 1332), and the prymnesiophyte Isochrysis galbana (CCMP 1323) were cultured in f/2 medium and transferred every 3–5 d to maintain exponential growth (Guillard 1975). All prey cultures were maintained in 250 or 500-ml PC bottles on a 12 h:12 h light-dark cycle at 15 °C, salinity of ~30 psu, and a light intensity of 70–80 lmol photons/m2s. chains in suspension, otherwise experiments were conducted as described above. Growth rates (l, d1) were calculated as the slope of the natural log of abundance over time for samples collected daily. The numerical response was determined by fitting Eq. 1 to the growth rate data (Montagnes and Berges 2004), l¼ Cell abundance and biomass To determine predator and prey abundance, samples were fixed with Lugol’s iodine (1%) and enumerated using a 1-ml Sedgewick-Rafter chamber. To determine biomass, predator, and prey biovolumes were determined for ≥ 40 cells, assuming they were prolate spheroids with volume (V) calculated as V = 4/3PI r12 * r2 where r1 is the cell width and r2 is the cell length, with the assumption that r2 ≥ r1. General size measurements were made on fixed cells, whereas post-starvation measurements were made on live cultures. Carbon biomass (ng C/cell) was determined using published C to volume conversion equations (Menden-Deuer and Lessard 2000). Growth and grazing experiments Growth and ingestion rates of the predators were determined at 15 concentrations of the prey H. triquetra (50–6,000 cells/ml equivalent to 18–2.1 9 103 ng C/ml). Prey were added to duplicate 150-ml bottles of known initial predator concentration (80–300 cells/ml). Duplicate prey-only controls were established to measure prey growth. Predators were starved for 2–3 d prior to grazing experiments to ensure no residual prey remained at the onset of experiments (this was verified microscopically). The feeding response of G. spirale on S. marinoi was also tested. Feeding experiments with S. marinoi were placed on a rotating wheel, to maintain the nonmotile diatom lmax ðx x 0 Þ kl þ ðx x 0 Þ ð1Þ where lmax is the maximum growth rate, x is the prey concentration (cells/ml or ng C/ml), x 0 is the threshold prey concentration where l = 0, and kl is a constant dictating the shape of the response as it approaches the asymptote. The numerical response function was fitted to data using SigmaPlot. For O. marina, a threshold prey concentration was not detected, and thus x 0 was not accounted for in the numerical response. Ingestion rates (I, cells predator1 d1 or ng C predator1 d1) were calculated using the equations of Frost (1972) and Heinbokel (1978) to account for predator growth. Incubation time used to calculate these rates was the same as for estimating growth rates. The functional response model was fitted to ingestion rates at each concentration using Eq. 2: I¼ Imax ðxÞ kI þ ðxÞ ð2Þ where Imax is the maximum ingestion rate of the predator, x is the prey concentration (cells/ml or ng C/ml), and kI is a constant. Short-term starvation and re-feed experiments We tested the capacity of starved predators to exploit a prey pulse after a 1 to 3-week period of prey withdrawal. © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 3 Poststarvation Feeding in Heterotrophic Dinoflagellates Predators fed with H. triquetra were transferred to triplicate 500-ml PC bottles, with abundance and biomass determined daily. Predators were starved for 1–3 wks until a reduction in cell number and/or cell size was detected, indicating a negative impact of algal prey withholding on the predator population. Poststarvation, triplicate predator cultures were exposed to a pulse of prey by spiking the starved cultures with H. triquetra or I. galbana. Prey type offered was chosen for logistical reasons to ensure appropriate distinction between predator and prey size measurements on a MultisizerTM 3 Coulter Counter (version 3.53, Beckman Coulter, Indianapolis, IN). Oxyrrhis marina and G. dominans were fed ~7.5 9 104 cells/ml (~1 9 103 ng C/ml) of I. galbana, which induces positive growth of O. marina (Kimmance et al. 2006). The larger G. spirale was fed ~4 9 103 cells/ml (~1.4 9 103 ng C/ml) of H. triquetra, which supports maximum growth (this study). Both predator and prey-only controls were included in triplicate to quantify predation-independent changes in predator cell abundance and volume. These starved and then re-fed cultures were subjected to both short-term (min-h) and long-term (up to 3 d) analysis of predator abundance and volume. For short-term measurements, cell volume and abundance of triplicate predator cultures was measured at intervals of 5–30 min for the first 2 h and again after 3 h (Coulter Counter). The Coulter Counter provided a more rapid sampling approach than microscopy and allowed repeat measurements at minute intervals. Microscope samples were taken and preserved throughout the re-feed experiment to verify Coulter Counter measurements and to image re-fed predators; all images were taken on a light microscope at 20X magnification. To measure poststarvation daily growth and grazing response, re-fed heterotroph cultures were incubated for up to 3 d. Growth and ingestion rates of all three heterotrophs were measured as described above. Cell volume measurements were used to determine changes in predator biomass. Anderson & Menden-Deuer Table 1. Nonlinear curve fits of the numerical (Eq. 1) and functional (Eq. 2) response of the three heterotrophic dinoflagellate species (see Fig. 2) HTD Numerical response Oxyrrhis marina Gyrodinium spirale Gyrodinium dominans Functional response O. marina G. spirale G. dominans Parameter Parameter value SE Adjust. r2 lmax kl x0 lmax kl x0 lmax kl x0 0.60 79 NA 0.46 474 188 0.22 191 107 0.03 16 NA 0.07 97 24 0.03 31 17 0.82 Imax kI Imax kI Imax kI 2.29 1081 6.06 1208 1.79 1053 0.29 254 1.15 415 0.28 311 0.92 0.71 0.66 0.85 0.89 Standard error (SE) and adjusted r2 are shown for each parameter. HTD, heterotrophic dinoflagellate; lmax, maximum growth rate (d1); Imax, maximum ingestion rate (ng C predator1 d1); kl/kI, half-saturation constant of numerical or functional response (ng C/ml); x 0 , threshold prey concentration (ng C/ml). volume measurements were made on ≥ 24 predator cells at discrete time points to assess changes in cell size. Duplicate 350-ml tissue cultures of the same starved predator stock were included in parallel to allow for visual inspection of live predator morphology and apparent swimming behavior under a dissecting microscope. RESULTS Long-term starvation experiments Growth rates The response of each predator species to prolonged starvation—on the order of weeks to months—was tested. To starve predators, triplicate 2-liter PC bottles were inoculated with predator cultures and fed H. triquetra (~2 9 103 cells/ml). Starvation for G. spirale and G. dominans began once H. triquetra reached threshold levels at which predator growth equaled zero (l = 0) as determined from the numerical response (see Table 1). The no-netgrowth prey threshold concentration corresponded to 188 ng C/ml and 107 ng C/ml for G. spirale and G. dominans, respectively. Oxyrrhis marina consumed all H. triquetra, and starvation experiments began once all prey was removed, typically within 2 d, but other potential prey sources, including bacteria remained (see Discussion). The bottles were maintained in low light to minimize H. triquetra growth. Samples for counts and cell size analysis were taken every 1–2 d, but after 2–3 wks, frequency decreased to twice per week. Samples were fixed and predator abundance was counted microscopically. Cell When continuously fed, all three heterotrophic dinoflagellate species were able to ingest and achieve positive growth on H. triquetra (Fig. 2A). Of the dinoflagellate species, O. marina exhibited the highest maximum specific growth rate of 0.6 d1 at 0.3 9 103 ng C/ml. Oxyrrhis marina growth rates were positive, even at the lowest prey concentration, resulting in a good approximation of the numerical response (Table 1). The specific growth rate of G. spirale feeding on H. triquetra increased with increasing prey concentration, reaching a maximum of 0.46 d1 at 1.4 9 103 ng C/ml (Table 1 and Fig. 2A). At prey concentrations < 0.2 9 103 ng C/ml, G. spirale exhibited negative growth. Remarkably, the magnitude of the negative growth was proportional to the prey concentration, with near linear increases in predator growth rate as prey concentration increased. Gyrodinium dominans had the lowest maximum growth rate of the three dinoflagellate species when fed with H. triquetra (0.22 d1), and negative growth rates 4 © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 Anderson & Menden-Deuer Poststarvation Feeding in Heterotrophic Dinoflagellates Figure 2 Growth and ingestion rates of heterotrophic dinoflagellates continuously-fed Heterocapsa triquetra. (A) Specific growth and (B) ingestion rates of three heterotrophic dinoflagellate species as a function of prey concentration (cells/ml) and prey biomass (ng C/ml). (A) Growth and (B) ingestion rates at each of up to fifteen prey concentrations were fitted as individual replicates to the numerical and functional response models (Eqs. 1, 2). Table 2. Comparison of growth (d1) and ingestion (ng C predator1 d1) rates of the dinoflagellates Gyrodinium spirale, Gyrodinium dominans and Oxyrrhis marina cultured with diverse phytoplankton prey HTD G. G. G. G. G. G. G. G. O. O. O. O. spirale spirale spirale spirale dominans dominans dominans dominans marina marina marina marina Prey lmax Imax References Heterocapsa triquetra (DN) H. triquetra (DN) Skeletonema marinoi (DIA) Prorocentrum minimum (DN) H. triquetra (DN) H. triquetra (DN) P. minimum (DN) Chattonella antiqua (RA) H. triquetra (DN) Heterosigma akashiwo (RA) Isochrysis galbana (PRM) Amphidinium carterae (DN) 0.46 0.58 0.20 0.45 0.22 0.27 0.65 0.30 0.60 0.81 0.45 0.66 6.06 7.24 3.90 7.59 1.79 2.75 0.69 1.29 2.29 0.72 3.98 1.58 This study Hansen (1992) This study Kim and Jeong (2004) This study Nakamura et al. (1995) Kim and Jeong (2004) Nakamura et al. (1992) This study Jeong et al. (2003) Goldman et al. (1989) Jeong et al. (2001) For comparison, rates are adjusted to 14.5 °C using Q10 = 2.8 (Hansen et al. 1997). lmax, maximum growth rate (d1); Imax, maximum ingestion rate (ng C predator1 d1); HTD, heterotrophic dinoflagellate; DN, dinoflagellate; DIA, diatom; RA, raphidophyte; PRM, prymnesiophyte. were observed at prey concentrations < 0.07 9 103 ng C/ml (Fig. 2A). Growth rate-prey abundance relationships were well-approximated by the numerical model for both G. dominans and G. spirale (Table 1). Gyrodinium spirale grew poorly on the chain-forming diatom S. marinoi. Specific growth rates of G. spirale on S. marinoi were negative at all prey concentrations except at 1 9 103 ng C/ml (4.5 9 104 cells/ml), where the predator grew at 0.20 d1 (Table 2). Ingestion rates Ingestion rates of O. marina continuously-fed with H. triquetra reached a maximum rate of 2 ng C grazer1 d1 (6 cells grazer1 d1) at 2 9 103 ng C/ml (Fig. 2B). Ingestion rates of O. marina were well approximated by the functional response model (Table 1). The functional response of G. dominans was similar to O. marina and ingestion rates on H. triquetra steadily increased without saturation (Fig. 2B). Gyrodinium dominans reached a maximum ingestion rate of 1.8 ng C grazer1 d1 (5 cells grazer1 d1) at 2 9 103 ng C/ml (Table 1). Ingestion rates of G. spirale on H. triquetra increased steadily with increasing prey concentration, saturating > 1 9 103 ng C/ml. The maximum ingestion rate of G. spirale on H. triquetra was 6 ng C grazer1 d1 (17 cells grazer1 d1) (Table 1). Though G. spirale did not sustain positive growth on S. marinoi, ingestion was seen at all prey concentrations. Ingestion rates on S. marinoi increased with increasing prey concentration, reaching a maximum ingestion rate of 4 ng C grazer1 d1 (155 cells grazer1 d1) (Table 2). This may indicate that G. spirale was unable to digest ingested S. marinoi over the sampling duration (3 d) and may have © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 5 Poststarvation Feeding in Heterotrophic Dinoflagellates Figure 3 Heterotrophic dinoflagellate abundance (cells/ml) as a function of time (d) in starvation experiments where algal prey was either absent (Oxyrrhis marina) or at sub-threshold prey concentrations at initial sampling. Symbols represent triplicate treatment means 1 standard deviation. Note log scale of y-axis. required a longer incubation time to acclimate to that food source. Starvation All three dinoflagellate species were able to survive extended periods of time (at least 18 and up to 118 d) in the absence of phytoplankton or at very low phytoplankton prey concentrations (below threshold levels; Fig. 3). The population abundance of G. spirale decreased by more than half (59%) in the first 13 d of starvation (Fig. 3). Gyrodinium spirale biomass (ng C/ml) decreased further (78%) within 2 weeks of starvation, while biomass matched abundance changes in the other two dinoflagellate species. The population size of G. dominans decreased by 76% in the first 12 d, a more pronounced decrease than G. spirale over the same period (Fig. 3). Figure 4 Change in cell volume (%) of heterotrophic dinoflagellate species during the initial starvation period of 3 wks. Error bars of 1 standard deviation are contained within symbols. 6 Anderson & Menden-Deuer Population abundance of G. dominans decreased steadily after 2 wks of starvation and remained at cell concentrations 0.5–1 cells/ml for 63 d, while G. spirale remained at concentrations 0.5–1 cells/ml for 18 d. Cell volumes of G. dominans decreased substantially (31%) within 24 h of starvation and even further (57%) after 10 d (Fig. 4). Average cell volume of G. spirale initially increased after 2 d (10%) but decreased after 6 d (40%). Live inspection of G. dominans indicated that cells appeared to swim faster within the first 2 weeks of starvation. In contrast, G. spirale appeared to swim faster within the first week of starvation, but appeared sluggish after 10 d. Throughout the starvation period, G. spirale cells became increasingly deformed in cell shape, often appearing more elongated. In contrast with Gyrodinium spp., population size of O. marina remained stable within the first 15 d of starvation and even increased slightly (10%). After 32 d, cell abundance of O. marina decreased by 77% from initial abundance (Fig. 3). Cell abundance continued to gradually decrease over time and O. marina was able to survive for 118 d (> 1 cells/ml). No apparent changes in O. marina swimming speed were noticed at the onset of starvation. Cell volume of O. marina increased after 2 d and decreased at a slower rate (17%) than Gyrodinium spp. over the first 15 d (Fig. 4). Oxyrrhis marina and G. dominans became increasingly transparent throughout their respective starvation periods. Re-feed short-term cell volume response Cell volumes of starved O. marina and G. dominans increased after addition of a single pulse of I. galbana prey (~7.5 9 104 cells/ml or 1 9 103 ng C/ml) (Fig. 5). Oxyrrhis marina was re-fed after cultures were starved for 16 d, while G. dominans was re-fed after 8 d of starvation. Average cell volume of starved O. marina and G. dominans were similar at the beginning of the re-feed. Average cell volume of O. marina increased by 9% after 5 min of feeding and increased by > 15% over the next 3 h (Fig. 5A). Cell volumes of the unfed O. marina control that was kept starved did not change over the same time period. Starved G. dominans that received the same prey pulse as O. marina did not respond as quickly to added prey compared to O. marina (Fig. 5B). Average cell volume of G. dominans increased after 45 min of incubation by ~3% and a total of ~7% after 3 h. Control cultures of G. dominans that were kept under starvation conditions remained smaller and identical in cell size to those at the initiation of the re-feed. The largest increase in G. spirale cell volume (~8%) occurred within the first 5 min of the short-term re-feed experiment with a pulse of H. triquetra (~4 9 103 cells/ml or 1.4 9 103 ng C/ml) after 6 d of starvation (Fig. 5C). This increase in cell volume was not sustained and fluctuated over the sampling period. Gyrodinium spirale that were unfed, showed similar fluctuations in cell volume, and thus, it was impossible to attribute changes in cell size to a feeding response. © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 Anderson & Menden-Deuer Poststarvation Feeding in Heterotrophic Dinoflagellates Re-feed daily growth and grazing rates Figure 5 Cell volume (lm3) of three species of heterotrophic dinoflagellates that were fed poststarvation (solid) or continuously starved and not re-fed (open). (A) Oxyrrhis marina, (B) Gyrodinium dominans and (C) Gyrodinium spirale over a 3-h period after addition of a single pulse of Isochrysis galbana (~7.5 9 104 cells/ml or 1 9 103 ng C/ml; A, B) or Heterocapsa triquetra (4 9 103 cells/ml or 1.4 9 103 ng C/ml; C). Note difference in y-axis ranges due to differences in predator size. Observed changes in cell volume of previously starved and then re-fed O. marina and G. dominans were due to prey ingestion, as revealed by microscope observations (Fig. 6, 7A, B). Though re-fed G. spirale did not exhibit measurable increases in cell volume during the short-term re-feed, microscopy suggested rapid ingestion of H. triquetra (Fig. 7C, D). Tracking of previously starved and then re-fed predator biomass and abundance over 3 d revealed substantive increases in predator cell size and thus biomass. Cell volume of all three starved dinoflagellate species continued to increase after the short-term sampling period (Fig. 8). Oxyrrhis marina reached a maximum cell volume after 48 h, representing a 56% increase from the initial starved predator cell size. Average cell volume of G. dominans and G. spirale reached a maximum increase at 51% and 35% respectively from the initial starved cell volume after 72 h (Fig. 8). After a pulsed re-feeding, all starved heterotrophic dinoflagellate species ultimately resumed growth, but responses were not rapid and predators were unable to reach the maximum growth rates of continuously-fed cultures over the 3-d period (Fig. 9A). After 24 h, O. marina refed I. galbana did not show positive growth (l = 0.10 d1). The specific growth rate of O. marina reached 0.04 d1 after 48 h and a substantive, positive growth rate of 0.25 d1 was measured after 72 h of incubation. Specific growth rate of G. dominans was similar to that of O. marina after the first 48 h of incubation and G. dominans also reached its maximum growth after 72 h (0.09 d1). Gyrodinium spirale growth rate remained negative, even after 72 h (l = 0.16 d1). Growth rates of continuously-fed O. marina and G. dominans at a similar prey biomass (~1 9 103 ng C/ml) were ~2-fold higher at 0.55 and 0.18 d1, respectively compared to growth rates of starved predators (Fig. 9A). The maximum growth rate of continuously-fed G. spirale was > 2-fold higher (0.45 d1) compared to starved cultures fed an equal amount of H. triquetra. Unlike growth rates determined from cell abundance, biomass of starved O. marina and G. dominans quickly increased after the re-feed (Fig. 9B) because cell volumes increased substantially prior to cell division. The biomassbased growth rate of O. marina was 0.37 d1 after 24 h and slightly increased to 0.42 d1 after 72 h. The biomass growth rate of G. dominans was 0.23 d1 after 24 h and reached a maximum after 72 h (0.27 d1). In contrast, growth of G. spirale remained negative after 72 h, irrespective of whether cell abundance or biomass was considered to determine growth (0.05 d1; Fig. 9B). Thus, although cell volume of the surviving G. spirale increased over the 3 days upon re-feed, cell abundance decreased leading to an overall negative population growth rate. This discrepancy between individual cell sizes and population abundance points to a noteworthy heterogeneity in the cell-specific responses to prey exposure, suggesting that a few cells could feed and increase in volume, but their numbers were insufficient to support an overall increase in population abundance. The maximum ingestion rate of starved O. marina refed I. galbana was 0.3 ng C grazer1 d1 (34 cells grazer1 d1) after 48 h and ingestion became saturated after 72 h. Ingestion rates of G. dominans also increased throughout the re-feed period, reaching a maximum rate of 0.4 ng C grazer1 d1 (37 cells grazer1 d1) after 72 h. Ingestion rates of continuously-fed O. marina and © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 7 Poststarvation Feeding in Heterotrophic Dinoflagellates Anderson & Menden-Deuer Figure 6 Starved Oxyrrhis marina (A) before and (B–D) after re-feed. (A) O. marina cells after 20 d of starvation. After re-feed (B) 1–3, (C) 4–6 and up to (D) 8–12 prey cells were distinguishable within O. marina, verifying rapid ingestion of prey. Scale bars represent 20 lm. G. dominans were > 2-fold higher (~1 ng C grazer1 d1) than starved cultures fed an equivalent prey concentration. Unlike the other two dinoflagellate species, positive ingestion was not detectable for re-fed G. spirale and thus rates are not presented. DISCUSSION Heterotrophic protists are considered particularly important to the structure and function of marine food webs. The growth rates of heterotrophic protists are assumed to be on par with the growth of their phytoplankton prey, which may result in considerable biogeochemical impacts (Sherr and Sherr 2009; Worden et al. 2015). Here we quantified the maximum specific growth and grazing rates of prominent dinoflagellate predator species in response to 8 fluctuations in the presence and quantity of prey. Our experiments sought to mimic the conditions in a heterogeneous ocean, with frequent spatial or seasonal fluctuations in prey abundance and type. After periods of 1–3 wks, which seem reasonable for in situ conditions (e.g. between blooms; low winter-time prey abundances), starvation negatively impacted grazers, as evidenced by decreases in dinoflagellate abundance, alterations in cell morphology and delays in predator population growth. This finding of lower growth potential by grazers after starvation has implications for how we view predator-prey dynamics in a heterogeneous ocean and especially at the onset of seasonal phytoplankton blooms. Heterotrophic dinoflagellates are one of the dominant groups of phytoplankton grazers and as a result can be potentially important conduits of carbon transport in marine food webs. © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 Anderson & Menden-Deuer Poststarvation Feeding in Heterotrophic Dinoflagellates Figure 7 Starved Gyrodinium spp. before (left panels) and after (right panels) re-feed. Left panels represent (A) Gyrodinium dominans and (C) Gyrodinium spirale cells after 8 d of starvation. Right panels show ingestion of (B) Isochrysis galbana or (D) Heterocapsa triquetra by Gyrodinium spp. (within 2-h period). Scale bars represent 20 lm. Prey cells are clearly visible within re-fed predators. Although predator growth rates are commonly assumed to be on par with that of their prey, we found a significant delay in the resumption of predator growth after starvation. Poststarvation, all three heterotrophic dinoflagellate species investigated were unable to reach their maximum daily growth and ingestion rates after 3 d despite an abundance in suitable prey. Our results confirm the already well-established ability of heterotrophic dinoflagellates to withstand extended periods of starvation (Hansen 1992; Menden-Deuer et al. 2005; Strom 1991) and report, to our knowledge, the first observations of significantly delayed predator growth poststarvation. Starvation-dependent delays in predator growth have implications for our understanding and forecasting of predator impacts on primary and export production. Since fluctuations in prey availability are predictable and detectable by autonomous or remote sensing technology de et al. 2015), incorporation of starvation effects (Sauze of predation on net primary production appears attainable. Immediate poststarvation ingestion Predators maintained the ability to immediately ingest and remove phytoplankton biomass upon re-encountering prey after starvation. This agrees with the one prior study investigating re-feeding capacity in dinoflagellates, in which cell © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 9 Poststarvation Feeding in Heterotrophic Dinoflagellates Anderson & Menden-Deuer Figure 8 Increase in daily cell volume (%) of previously starved heterotrophic dinoflagellate species for 3 d after re-feed with new prey. Error bars represent 1 standard deviation of triplicates. volume of re-fed O. marina increased by ~72%, while G. dominans increased by ~38%, over 10 h (Calbet et al. 2013). In both re-feed studies (Calbet et al. 2013; this study), rapid increases in cell volume of heterotrophic dinoflagellates suggested grazers were able to immediately, within minutes, ingest prey poststarvation. Using photomicrographs, we documented that these rapid cell volume changes after starvation were indeed a result of the predator ingesting algal prey and could visually observe that G. spirale is also capable of poststarvation predation, despite the lack of direct feeding measurements. The ability of starved heterotrophic dinoflagellates to immediately ingest encountered prey and increase in biomass implies cells are not in an inert state after starvation and no transition period to resumption of feeding is necessary. Lag time for population growth A predator’s ability to resume cell division after starvation is critical for survival and has been quantified in a collection of ciliates (Fenchel 1982, 1989), but not in heterotrophic dinoflagellates. Thus, we incorporated measurements of predator population growth rates after starvation to address this gap in knowledge. Only after 2–3 d did re-fed O. marina and G. dominans populations show positive growth, while G. spirale was unable to attain positive growth or measurable ingestion throughout the re-feed period. Even after 3 d, all three grazers were unable to reach their maximum growth rates attained before prey deprivation. The observed time lag before commencement of positive population growth may reflect a type of energetic trade-off between starvation and ability to resume predation, as proposed by Fenchel (1989). When a predator undergoes starvation, over time metabolic rates decrease, the extent of this reduction is determined by how long the predator starves (Fenchel 1989). After 5 d of starvation, Calbet et al. (2013) recorded decreases in respiration rates of O. marina and G. dominans strains by up to 70% and 50%, respectively. Heterotrophic dinoflagellates in our 10 Figure 9 Daily specific growth rates of each re-fed heterotrophic dinoflagellate species over 3 d. Growth rate estimates based on (A) cell abundance and (B) biomass. Error bars represent 1 standard deviation of triplicates. Dotted lines in (A) correspond to the maximum specific growth rate of a continuously-fed predator culture growing at an equivalent prey biomass. Maximum specific growth rates of continuously-fed predators (dotted lines) are the average of duplicate samples (standard deviation = 0.01–0.02). study were subjected to longer starvation times (6–16 d) before new prey was added and thus significant decreases in respiration and in turn metabolism were likely to have occurred prior to the re-feed, though no measurements were made. We did measure reductions in cell volume and deformations to cell morphology in starved heterotrophic dinoflagellates, which may have signified a shift in metabolism (Fenchel 1989). Thus, although grazer cells could remove prey and increase in cell volume (and overall biomass) immediately after starvation, increases in predator ingestion and predator population abundance were limited initially and only materialized after several days. Response to prolonged starvation It has been argued that food particles are rarely exhausted in the ocean and protist grazers never experience complete withholding of algal prey as simulated in our study © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 Anderson & Menden-Deuer €fer et al. 2007). However, phytoplankton are rare (Paffenho or absent over wide spatio-temporal scales (McManus et al. 2003) and grazers have been shown to be selective in the prey they consume (e.g. Jakobsen and Hansen 1997; Montagnes et al. 2008). Thus, grazers are likely to be subject to periods of starvation, and foraging and €nbaum chemotactic strategies (e.g. Menden-Deuer and Gru 2006; Stoecker et al. 1984) may not be sufficient to overcome periods of starvation. In our study, O. marina and G. dominans exhibited a tremendous ability to survive without algal prey, which may offer a competitive advantage over other heterotrophic dinoflagellate species like G. spirale, and certainly heterotrophic protists with lower starvation capacity (e.g. ciliates). Grazers that can adapt to prey fluctuations will be better equipped when a new prey patch is encountered or when prey abundances increase seasonally. All three heterotrophic dinoflagellate species survived for at least 18 d and up to 118 d in the case of O. marina. Long starvation periods have been observed previously for dinoflagellates (Menden-Deuer et al. 2005; Strom 1991) but not for ciliates, which die rapidly within hours to days (Jackson and Berger 1984; Jakobsen and Hansen 1997). Though ciliates may exhibit faster rates of ingestion and cell division compared to heterotrophic dinoflagellates (Jeong et al. 2010; Strom and Morello 1998), they are less equipped for long periods of starvation. Heterotrophic dinoflagellates may allocate part of their energy into storage products to prolong survival (MendenDeuer et al. 2005). The difference in survival vs. feeding between these two grazer types may follow an r- vs. k-strategy, as suggested by Weisse et al. (2016). Generally, heterotrophic dinoflagellates (k-strategy) are slower to divide, but can survive longer under starvation. In contrast, ciliates (r-strategy) have fast division times, but are unable to survive beyond 2–3 d without prey. In order to accurately compare the starvation and feeding response of these different grazer types and their respective predation impact on phytoplankton biomass, measures of both feeding and survival ability must be considered. Extensive periods of algal prey withholding (> 100 d) had negative impacts on O. marina populations (e.g. severely diminished abundance and cell volume decrease), which signified predator cells were in a starved state despite cultures being non-axenic. Though no evidence of bacterial ingestion was found, it may be reasonable to assume that starved O. marina were ingesting bacteria, as cells continued to divide during the first 2 wks of starvation. O. marina does have a slow digestion time (Klein et al. 1986) and large capacity for food storage which allows cell division of the organism, even when algal prey is absent (Calbet et al. 2013; Flynn and Mitra 2009; this study). While cannibalism has been shown to occur in O. marina populations, the probability even at high predator abundance is low (≤ 2%) and even less likely as predator abundance decreases (Montagnes et al. 2010). Moreover, O. marina has been shown to uptake dissolved organic molecules (Lowe et al. 2010; Roberts et al. 2010) and utilize proteorhodopsins (Hartz et al. 2011), which may aid in navigation and Poststarvation Feeding in Heterotrophic Dinoflagellates metabolism when prey abundance is low. Together, these adaptations may have aided in the ability of O. marina to survive months of starvation in culture. As starvation time increased, all three heterotrophic dinoflagellate species became increasingly transparent, especially in the case of O. marina and G. dominans. These two heterotrophs survived much longer, suggesting that transparency likely indicates the use of cellular reserves, a response also seen in starving dinoflagellates of the genus Protoperidinium (Menden-Deuer et al. 2005). While no cyst production was observed, there were signs of swarmer production in the two species of Gyrodinium as evidenced by decreased cell volumes > 50% and an appearance of faster swimming cells at the onset of starvation. These morphological changes may represent a strategy to maximize swimming at the onset of starvation to help expedite the search for new prey, particularly as Gyrodinium spp. reside in open waters with patchy prey. Overall, some generalizations can be made in regards to the response of heterotrophic dinoflagellates to starvation, which include the ability to avoid cyst production, become smaller in size, and more transparent over time. Responses of dinoflagellates to starvation may be the result of a strategy to preserve cellular metabolic demands in the absence of food, enabling long starvation survival while maintaining the ability to consume prey immediately upon encounter. Implications of delayed grazer population growth A starvation period negatively impacted heterotrophic dinoflagellate population dynamics, as indicated by the sustained depression of population growth rates. Pastprey conditions (e.g. starvation; Li et al. 2013) as well as prey type and strain (Table 2) can have strong influences on the numerical and functional response of the predator. Depressed and even negative population growth is contrary to the common assumption that protistan grazers undergo rapid increases in predator population growth to match growth of their prey (Sherr et al. 2003). Instead, the species included here showed initial increases in cell volume rather than cell division and population increase, suggesting ingestion and replenishment of storage reserves may be a strategy to survive future starvation and may be a preferred strategy over reproduction. Predator population abundance and grazing impact is not expected to increase rapidly once new prey is encountered after starvation, which could indirectly result in the enhancement of phytoplankton biomass growth, for instance at the initiation of a bloom event. There have been a number of hypotheses as to why grazing is low at the initiation of a phytoplankton bloom, relating to predator defenses by the prey (Irigoien et al. 2005; Tillmann 2004), or temperature constraints (Rose and Caron 2007). Sherr and Sherr (2009) proposed that low phytoplankton concentrations at the beginning of a bloom cannot support grazer growth, and predators are in a continued starved state with low predation impact on the prey populations, even as conditions favor enhanced © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 11 Poststarvation Feeding in Heterotrophic Dinoflagellates prey growth. While threshold prey concentrations exist for predator growth (e.g. Montagnes 1996) and have been documented in situ (Lessard and Murrell 1998), to our knowledge, there had been no poststarvation feeding measurements prior to this study to support this proposed delay in feeding at the onset of a bloom. The lag time in grazer population growth observed in this study does support the hypothesis by Sherr and Sherr (2009) and thus could be a determining factor in driving phytoplankton biomass accumulation rates and ultimately the fate of organic carbon. Therefore, incorporating measures of growth and ingestion coupled with an understanding of survival capacity in heterotrophic dinoflagellates will be critical in assessing the impact of predation in a heterogeneous environment and especially during seasonal or spatial variations in phytoplankton prey availability. ACKNOWLEDGMENTS We thank technician Amanda Montalbano and undergraduate student Cynthia Michaud for assistance with this research. Comments by David Montagnes improved an earlier version of this manuscript. This work is based on work supported by the National Science Foundation award #1142107 through the Office of Polar Program, National Aeronautics and Space Administration (award #NNX15AL2G), and in part by the National Science Foundation EPSCoR Cooperative Agreement (award #EPS-1004057). Research was conducted in the EPSCoR supported Marine Science Research Facility (MSRF) at the University of Rhode Island, Graduate School of Oceanography. LITERATURE CITED Buskey, E. J. 1997. Behavioral components of feeding selectivity of the heterotrophic dinoflagellate Protoperidinium pellucidum. Mar. Ecol. Prog. Ser., 153:77–89. Calbet, A., Isari, S., Martınez, R. A., Saiz, E., Garrido, S., Peters, J., Borrat, R. M. & Alcaraz, M. 2013. 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. Calbet, A. & Landry, M. R. 2004. Phytoplankton growth, microzooplankton grazing, and carbon cycling in marine systems. Limnol. Oceanogr., 49:51–57. Campbell, R. G., Sherr, E. B., Ashjian, C. J., Plourde, S., Sherr, B. F., Hill, V. & Stockwell, D. A. 2009. Mesozooplankton prey preference and grazing impact in the western Arctic Ocean. Deep Sea Res. Part II, 56:1274–1289. Fenchel, T. 1982. Ecology of heterotrophic microflagellates. II. Bioenergetics and growth. Mar. Ecol. Prog. Ser., 8:225–231. Fenchel, T. 1989. Adaptations to a feast and famine existence in protozoa. In: Wieser, W. & Gnaiger, G. (ed.), Energy Transformation in Cells and Organisms. Georg Thieme Verlag, Stuttgart. p. 290–295. Flynn, K. J. & Mitra, A. 2009. Building the “perfect beast”: modelling mixotrophic plankton. J. Plankton Res., 31:965–992. Frost, B. W. 1972. Effects of size and concentration of food particles on the feeding behavior of the marine planktonic copepod Calanus pacificus. Limnol. Oceanogr., 17:805–815. 12 Anderson & Menden-Deuer Goldman, J. C., Dennett, M. R. & Gordin, H. 1989. Dynamics of herbivorous grazing by the heterotrophic dinoflagellate Oxyrrhis marina. J. Plankton Res., 11:391–407. Guillard, R. R. 1975. Culture of phytoplankton for feeding marine invertebrates. In: Smith, W. & Chanley, M. H. (eds), Culture of Marine Invertebrate Animals. Plenum Press, New York, NY, p. 29–60. Hansen, P. J. 1992. Prey size selection, feeding rates and growth dynamics of heterotrophic dinoflagellates with special emphasis on Gyrodinium spirale. Mar. Biol., 114:327–334. Hansen, B. W., Bjørnsen, P. K. & Hansen, B. W. 1997. Zooplankton grazing and growth: scaling within the 2–2,000-~ III body size range. Limnol. Oceanogr., 42:687–704. Hartz, A. J., Sherr, B. F. & Sherr, E. B. 2011. Photoresponse in the heterotrophic marine dinoflagellate Oxyrrhis marina. J. Eukaryot. Microbiol., 58:171–177. Heinbokel, J. F. 1978. Studies on the functional role of tintinnids in the Southern California Bight. II. Grazing rates of field populations. Mar. Biol., 47:191–197. Irigoien, X., Flynn, K. J. & Harris, R. P. 2005. Phytoplankton blooms: a ‘loophole’in microzooplankton grazing impact? J. Plankton Res., 27:313–321. Jackson, K. M. & Berger, J. 1984. Survival of ciliate protozoa under starvation conditions and at low bacterial levels. Microb. Ecol., 10:47–59. Jakobsen, H. H. & Hansen, P. J. 1997. Prey size selection, grazing and growth response of the small heterotrophic dinoflagellate Gymnodinium sp. and the ciliate Balanion comatum-a comparative study. Mar. Ecol. Prog. Ser., 158:75–86. Jeong, H. J., Du Yoo, Y., Kim, J. S., Seong, K. A., Kang, N. S. & Kim, T. H. 2010. Growth, feeding and ecological roles of the mixotrophic and heterotrophic dinoflagellates in marine planktonic food webs. Ocean Sci. J., 45:65–91. Jeong, H. J., Kim, S. K., Kim, J. S., Kim, S. T., Yoo, Y. D. & Yoon, J. Y. 2001. Growth and grazing rates of the heterotrophic dinoflagellate Polykrikos kofoidii on red-tide and toxic dinoflagellates. J. Eukaryot. Microbiol., 48:298–308. Jeong, H. J., Kim, J. S., Yoo, Y. D., Kim, S. T., Kim, T. H., Park, M. G., Lee, H. G., Seong, K. H., Kang, N. S. & Shim, J. H. 2003. Feeding by the heterotrophic dinoflagellate Oxyrrhis marina on the red-tide raphidophyte Heterosigma akashiwo: a potential biological method to control red tides using masscultured grazers. J. Eukaryot. Microbiol., 50:274–282. Jeong, H. J. & Latz, M. I. 1994. Growth and grazing rates of the heterotrophic dinoflagellates Protoperidinium spp. on red tide dinoflagellates. Mar. Ecol. Prog. Ser., 106:173–185. Kim, J. S. & Jeong, H. J. 2004. Feeding by the heterotrophic dinoflagellates Gyrodinium dominans and G. spirale on the redtide dinoflagellate Prorocentrum minimum. Mar. Ecol. Prog. Ser., 280:85–94. Kimmance, S. A., Atkinson, D. & Montagnes, D. J. 2006. Do temperature-food interactions matter? Responses of production and its components in the model heterotrophic flagellate Oxyrrhis marina. Aquat. Microb. Ecol., 42:63–73. Klein, B., Gieskes, W. W. & Krray, G. G. 1986. Digestion of chlorophylls and carotenoids by the marine protozoan Oxyrrhis marina studied by hplc analysis of algal pigments. J. Plankton Res., 8:827–836. Lessard, E. J. 1991. The trophic role of heterotrophic dinoflagellates in diverse marine environments. Mar. Microb. Food Webs, 5:49–58. Lessard, E. J. & Murrell, M. C. 1998. Microzooplankton herbivory and phytoplankton growth in the northwestern Sargasso Sea. Aquat. Microb. Ecol., 16:173–188. © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 Anderson & Menden-Deuer Li, J., Fenton, A., Kettley, L., Roberts, P. & Montagnes, D. J. 2013. Reconsidering the importance of the past in predator– prey models: both numerical and functional responses depend on delayed prey densities. Proc. Biol. Sci. 280(1768): 20131389. Lowe, C. D., Martin, L. E., Roberts, E. C., Watts, P. C., Wootton, E. C. & Montagnes, D. J. 2010. Collection, isolation and culturing strategies for Oxyrrhis marina. J. Plankton Res., doi:10.1093/plankt/fbq161. McManus, M. A., Alldredge, A. L., Barnard, A. H., Boss, E., Case, J. F., Cowles, T. J., Donaghay, P. L., Eisner, L. B., Gifford, D. J., Greenlaw, C. F., Herren, C. M., Holliday, D. V., Johnson, D., MacIntyre, S., McGehee, D. M., Osborn, T. R., Perry, M. J., Pieper, E. R., Rines, J. E. B., Smith, D. C., Sullivan, J. M., Talbot, M. K., Twardowski, M. S., Weidemann, A. & Zaneveld, J. R. 2003. Characteristics, distribution and persistence of thin layers over a 48 hour period. Mar. Ecol. Prog. Ser., 261:1–19. Menden-Deuer, S. 2008. Spatial and temporal characteristics of plankton-rich layers in a shallow, temperate fjord. Mar. Ecol. Prog. Ser., 355:21–30. €nbaum, D. 2006. Individual foraging Menden-Deuer, S. & Gru behaviors and population distributions of a planktonic predator aggregating to phytoplankton thin layers. Limnol. Oceanogr., 51:109–116. Menden-Deuer, S. & Lessard, E. J. 2000. Carbon to volume relationships for dinoflagellates, diatoms, and other protist plankton. Limnol. Oceanogr., 45:569–579. € nbaum, D. Menden-Deuer, S., Lessard, E. J., Satterberg, J. & Gru 2005. Growth rates and starvation survival of the pallium-feeding, thecate dinoflagellate genus Peridinium. Aquat. Microb. Ecol., 41:145–152. Meunier, C. L., Haafke, J., Oppermann, B., Boersma, M. & Malzahn, A. M. 2012. Dynamic stoichiometric response to food quality fluctuations in the heterotrophic dinoflagellate Oxyrrhis marina. Mar. Biol., 159:2241–2248. Montagnes, D. J. 1996. Growth responses of planktonic ciliates in the genera Strobilidium and Strombidium. Mar. Ecol. Prog. Ser., 130:241–254. Montagnes, D. J., Barbosa, A. B., Boenigk, J., Davidson, K., Jurgens, K., Macek, M., Parry, J. D., Roberts, E. C. & Simek, K. 2008. Selective feeding behaviour of key free-living protists: avenues for continued study. Aquat. Microb. Ecol., 53:83–98. Montagnes, D. J. S. & Berges, J. A. 2004. Determining parameters of the numerical response. Microb. Ecol., 48:139–144. Montagnes, D. J., Lowe, C. D., Martin, L., Watts, P. C., DownesTettmar, N., Yang, Z., Roberts, E. C. & Davidson, K. 2010. Oxyrrhis marina growth, sex and reproduction. J. Plankton Res., doi:10.1093/plankt/fbq111. Nakamura, Y., Suzuki, S. Y. & Hiromi, J. 1995. Growth and grazing of a naked heterotrophic dinoflagellate, Gyrodinium dominans. Aquat. Microb. Ecol., 9:157–164. Nakamura, Y., Yamazaki, Y. & Hiromi, J. 1992. Growth and grazing of a heterotrophic dinoflagellate, Gyrodinium dominans, feeding on a red tide flagellate, Chattonella antiqua. Mar. Ecol. Prog. Ser., 82:275–279. €fer, G. A., Sherr, B. F. & Sherr, E. B. 2007. From small Paffenho scales to the big picture: persistence mechanisms of planktonic grazers in the oligotrophic ocean. Mar. Ecol., 28:243–253. Putland, J. N. 2000. Microzooplankton herbivory and bacterivory in Newfoundland coastal waters during spring, summer and winter. J. Plankton Res., 22:253–277. Roberts, E. C., Wootton, E. C., Davidson, K., Jeong, H. J., Lowe, C. D. & Montagnes, D. J. 2010. Feeding in the dinoflagellate Poststarvation Feeding in Heterotrophic Dinoflagellates Oxyrrhis marina: linking behavior with mechanisms. J. Plankton Res., doi:10.1093/plankt/fbq118. Rose, J. M. & Caron, D. A. 2007. Does low temperature constrain the growth rates of heterotrophic protists? Evidence and implications for algal blooms in cold waters. Limnol. Oceanogr., 52:886–895. Saito, H., Ota, T., Suzuki, K., Nishioka, J. & Tsuda, A. 2006. Role of heterotrophic dinoflagellate Gyrodinium sp. in the fate of an iron induced diatom bloom. Geophys. Res. Lett., 33:9. de, R., Claustre, H., Jamet, C., Uitz, J., Ras, J., Mignot, A. Sauze & D’Ortenzio, F. 2015. Retrieving the vertical distribution of chlorophyll a concentration and phytoplankton community composition from in situ fluorescence profiles: a method based on a neural network with potential for global-scale applications. J. Geophys. Res. Oceans, 120:451–470. n, S. & Hansen, B. W. Schmoker, C., Thor, P., Hern andez-Leo 2011. Feeding, growth and metabolism of the marine heterotrophic dinoflagellate Gyrodinium dominans. Aquat. Microb. Ecol., 65:65–73. Sherr, E. B. & Sherr, B. F. 2002. Significance of predation by protists in aquatic microbial food webs. Antonie Van Leeuwenhoek, 81:293–308. Sherr, E. B. & Sherr, B. F. 2007. Heterotrophic dinoflagellates: a significant component of microzooplankton biomass and major grazers of diatoms in the sea. Mar. Ecol. Prog. Ser., 352:187–197. Sherr, E. B. & Sherr, B. F. 2009. Capacity of herbivorous protists to control initiation and development of mass phytoplankton blooms. Aquat. Microb. Ecol., 57:253–262. Sherr, E. B., Sherr, B. F. & Hartz, A. J. 2009. Microzooplankton grazing impact in the Western Arctic Ocean. Deep Sea Res. Part II, 56:1264–1273. Sherr, E. B., Sherr, B. F., Wheeler, P. A. & Thompson, K. 2003. Temporal and spatial variation in stocks of autotrophic and heterotrophic microbes in the upper water column of the central Arctic Ocean. Deep Sea Res. Part I, 50:557–571. Stoecker, D. K., Davis, L. H. & Anderson, D. M. 1984. Fine scale spatial correlations between planktonic ciliates and dinoflagellates. J. Plankton Res., 6:829–842. Strom, S. L. 1991. Growth and grazing rates of the herbivorous dinoflagellate Gymnodinium sp. from the open subarctic Pacific Ocean. Mar. Ecol. Prog. Ser., 78:103–113. Strom, S. L., Harvey, E. L., Fredrickson, K. A. & Menden-Deuer, S. 2013. Broad salinity tolerance as a refuge from predation in the harmful raphidophyte alga Heterosigma akashiwo (Raphidophyceae). J. Phycol., 49:20–31. Strom, S. L. & Morello, T. A. 1998. Comparative growth rates and yields of ciliates and heterotrophic dinoflagellates. J. Plankton Res., 20:571–584. Tillmann, U. 2004. Interactions between planktonic microalgae and protozoan grazers. J. Eukaryot. Microbiol., 51:156–168. Uchida, T., Kamiyama, T. & Matsuyama, Y. 1997. Predation by a photosynthetic dinoflagellate Gyrodinium instriatum on loricated ciliates. J. Plankton Res., 19:603–608. Weisse, T., Anderson, R., Arndt, H., Calbet, A., Hansen, P. J. & Montagnes, D. J. 2016. Functional ecology of aquatic phagotrophic protists–Concepts, limitations, and perspectives. Eur. J. Protistol, doi:10.1016/j.ejop.2016.03.003. Winder, M. & Cloern, J. E. 2010. The annual cycles of phytoplankton biomass. Philos. Trans. R. Soc. B, 365:3215–3226. Worden, A. Z., Follows, M. J., Giovannoni, S. J., Wilken, S., Zimmerman, A. E. & Keeling, P. J. 2015. Rethinking the marine carbon cycle: factoring in the multifarious lifestyles of microbes. Science, doi:10.1126/science.1257594. © 2016 The Author(s) Journal of Eukaryotic Microbiology © 2016 International Society of Protistologists Journal of Eukaryotic Microbiology 2016, 0, 1–13 13
© Copyright 2026 Paperzz