Carbon and Nitrogen Acquisition in Shallow and Deep Holobionts of the Scleractinian Coral S. pistillata

Reef building corals can host different symbiont genotypes (clades), and form distinct holobionts in response to environmental changes. Studies on the functional significance of genetically different symbionts have focused on the thermal tolerance rather than on the nutritional significance. Here, we characterized the nitrogen and carbon assimilation rates, the allocation patterns of these nutrients within the symbiosis, and the trophic condition of two distinct holobionts of Stylophora pistillata: one associated with Symbiodinium clade A in shallow reefs and the other one associated with clade C in mesophotic reefs. The main findings are that: (1) clade C-symbionts have a competitive advantage for the acquisition of carbon at low irradiance compared to clade A-symbionts; (2) light is however the primary factor that determines the positive relationship between the amount of carbon fixed in photosynthesis by the symbionts and the amount of carbon translocated to the host; and (3) by contrast, the dominant Symbiodinium type preferentially determines a negative relationship between rates of coral feeding and nitrogen assimilation, although light still plays a relevant role in this relationship. Clade C-holobionts had indeed higher heterotrophic capacities, but lower inorganic nitrogen assimilation rates than clade A-holobionts, at all light levels. Broadly, our results show that the assimilation and translocation rates of inorganic carbon and nitrogen are clade and light-dependent. In addition, the capacity of S. pistillata to form mesophotic reefs in the Red Sea relies on its ability to select Symbiodinium clade C, as this symbiont type is more efficient to fix carbon at low light.

Introduction

Coral reefs support one of the most diverse and productive biological communities on Earth. Their success owe from the symbiotic relationship that corals build with photosynthetic dinoflagellate algae, commonly named zooxanthellae, that can sustain up to 95% of the daily energetic demand of the symbiotic association (Muscatine et al., 1984; Muscatine, 1990), also called holobiont (Rohwer et al., 2002). While symbionts need light for photosynthesis and constrain their host to mainly develop in the first 30 m depth, corals can however form large structures called mesophotic reefs in much deeper waters. Mesophotic reefs therefore refer to deep but light-limited coral ecosystems (Hinderstein et al., 2010), ranging between 30 and 80 m in the Gulf of Mexico (Kahng, 2010), to more than 100 m in some locations with exceptionally clear waters, such as the Red Sea (Lesser et al., 2009; Winters et al., 2009). Although, photosynthesis is limited by the low light levels, these reefs host a wide diversity of taxa due to numerous upwelling events and internal waves, that deliver significant amounts of inorganic nutrients and particulate organic matter (Leichter and Genovese, 2006; Lesser et al., 2009).

In response to decreased light intensity, corals can either present host (Brazeau et al., 2013) and/or symbiont genetic diversity (Lesser et al., 2010) as well as adaptations to grow under low irradiance conditions. For example, in order to increase and optimize the light capture and rates of autotrophic carbon production at depth >30 m, corals undergo morphological changes (Mass et al., 2007; Einbinder et al., 2009; Nir et al., 2011) as well as modifications in the photo-physiological traits of their symbionts (Wyman et al., 1987; Lesser et al., 2000, 2009). They also compensate their low photosynthate production by increasing the acquisition of heterotrophic nutrients (Muscatine et al., 1989; Mass et al., 2007; Alamaru et al., 2009; Einbinder et al., 2009; Lesser et al., 2010; Crandall et al., 2016). Corals can finally harbor different Symbiodinium clades depending on the depth at which they thrive (Finney et al., 2010; Lesser et al., 2010). In the Caribbean, although some colonies can present a mix of symbiont clades with a zonation pattern (Kemp et al., 2015), Symbiodinium A and B are predominant in tissue exposed to high irradiance (surface waters) while Symbiodinium C is dominant in shaded tissue of deep corals (Rowan and Knowlton, 1995; Rowan et al., 1997). In the northern Red Sea, Stylophora pistillata shifts from hosting clade A in shallow waters to clade C below 40 m depth (Mass et al., 2007; Winters et al., 2009). Although, numerous studies have now acknowledged the diversity and flexibility of Symbiodinium under different light environments, the functional significance of these associations remains unexplored. It has been suggested that physiological diversification in Symbiodinium species can confer growth advantages to their associated coral host, by presenting different thermal and light tolerances as well as capacities in nutrient acquisition (Little et al., 2004; Abrego et al., 2008; Stat et al., 2008; Venn et al., 2008; Jones and Berkelmans, 2010; Lesser et al., 2013). Among studies on the functional significance of the clades, most have focused on their capacity to tolerate thermal stress (Berkelmans and van Oppen, 2006; Howells et al., 2012; Silverstein et al., 2015; Hume et al., 2016) while their nutritional capacities are still poorly known, although it has important physiological consequences for the host (Loram et al., 2007; Baker et al., 2013; Starzak et al., 2014; Leal et al., 2015). Baker et al. (2013) and Pernice et al. (2015) showed that the acquisition of nitrogen and carbon by Acroporidae species (Acropora tenuis and Isopora palifera, respectively) was clade—(Baker et al., 2013; Pernice et al., 2015) and temperature dependent (Baker et al., 2013). Other studies on sea anemones also demonstrated that Symbiodinium genotypic diversity affects the quantity and quality of photosynthates translocated to the animal host (Loram et al., 2007; Starzak et al., 2014; Leal et al., 2015), as well as the heterotrophic capacities of the host (Leal et al., 2015). Overall, these studies suggest that symbiont identity directly relates to the trophic plasticity of the holobiont. Because acquisition of both auto-and heterotrophic nutrients is critical for coral growth and reproduction (Muscatine and Porter, 1977; Muscatine et al., 1989; Ferrier-Pages et al., 2000; Houlbreque and Ferrier-Pagès, 2009), a better understanding of the nutritional capacities of different holobionts will help predict their resilience to stress. Until now, no direct simultaneous comparison exists between auto-and heterotrophic performance of shallow and deep corals associated with different Symbiodinium genotypes, although deep reefs host a huge biodiversity (Hovland, 2008).

Here we compare the trophic and photosynthetic capacities of two distinct holobionts of the scleractinian coral S. pistillata living in shallow and mesophotic reefs of Eilat (Red Sea). S. pistillata, harbors clade A1 in shallow waters (<40 m) and clade C in deeper environments (>40 m), forming two different holobionts of the same species (Byler et al., 2013). We measured, under the light conditions of surface and deep waters, the heterotrophic capacities of each holobiont, as well as their rates of photosynthesis and acquisition of inorganic carbon and nitrogen using stable isotopes [NaH¹³CO₃ (¹³C), ¹⁵NH₄Cl (NH₄), and ¹⁵NaNO₃ (NO₃)]. Inorganic carbon and nitrogen acquisition by the symbionts, together with host prey capture, provide direct measures to score nutritional plasticity of these symbioses. Getting new insights into the trophic behavior and the metabolic processes associated with mesophotic corals is essential to understand the ecology and biology of these unique habitats as well as the vertical connectivity existing between shallow and deep environments, which may be of great importance for the future health and resilience of their associated ecosystems.

Materials and Methods

Biological Material and Experimental Setup

Experiments were performed in November 2014 at the IUI, in the Gulf of Eilat (Israel). While light conditions decreased from 200 to 400 μmol quanta m⁻² s⁻¹ at 5 m depth to 20 to 40 μmol quanta m⁻² s⁻¹ at 50 m depth, the seawater temperature (24 ± 0.5°C) and nutrient concentrations remained stable throughout the investigated depth range (Bednarz et al., 2017). The above environmental data were provided by the Israel National Monitoring Program at the Gulf of Eilat (http://www.iui-eilat.ac.il/Research/NMPMeteoData.aspx) and represented average values collected close to our study site. Ten mother colonies of the Red Sea coral S. pistillata were thus sampled directly on the reef, five colonies from 5 m depth and five others from 50 m depth. Field collection of animals complied with a permit issued by the Israel Nature and Parks Authority (2015/40780). Colonies were enclosed in different bags underwater, to keep track of each genotype, and brought back to the laboratory, located few meters from the reef, were they were properly identified. The main Symbiodinium genotype hosted by each colony was checked according to the protocol of Santos et al. (2002). As repeatedly observed (Mass et al., 2007; Lampert-Karako et al., 2008; Winters et al., 2009; Nir et al., 2014), the main clade associated to shallow colonies was A1, while C1 and C3 (simplified to clades A and C throughout the manuscript) populated the deep colonies (Table S5). Fifteen nubbins of about 3 cm long were then cut from each mother colony, tagged, and distributed in 4 open tanks for clade A and four other tanks for clade C. Aquarium system was set up in outdoor water tables, continuously supplied with unfiltered oligotrophic seawater from the reef at a temperature of 24°C ± 0.5. Coral colonies were exposed to photon flux densities (PFD) similar to those found at 50 and 5 m at the month of collection (mean daily PFDs were equivalent to 13.8 mol photons m⁻² d⁻¹ for surface and 0.8 mol photons m⁻² d⁻¹ for deep holobionts). Proper light intensity was calibrated by the use of a light meter (Li-Cor, LI-250A, USA) and UV-filters were disposed above aquaria to protect deep corals against UVR. Coral nubbins were maintained for 2 days prior to the measurements described below, which have been performed (i) at the “natural” light level of each population/holobiont (subsequently called “high-light” for the shallow population and “low light” for the deep population) but also (ii) at the other corresponding light (low light for the shallow population and high light for the deep one). This last measurement was performed to assess the ability of each holobiont to quickly adjust its response to changes in irradiance.

Rates of Net Photosynthesis, Respiration, and Chlorophyll Content Measurements

Changes in oxygen production were monitored for 60 min on 5 nubbins per holobiont (A and C; from 5 mother colonies) at the two mean irradiances corresponding to the surface and deep PFD levels: 350 μmol photons m⁻² s⁻¹ (shallow, High light, HL) and 20 μmol photons m⁻² s⁻¹ (deep, Low light, LL), respectively. Respiration rates (R) were assessed in the dark after the illumination period. Nubbins were individually placed in glass chambers, filled with a known volume of 0.45 μM filtered seawater (FSW) which were stirred using a magnetic stirrer. Glass chambers were maintained at 24°C by the use of a water bath equipped with a PreSense optode (oxygen-sensitive minisensor) connected to the Oxy-4 (4 Channel oxygen meter, PreSense, Regensburg, Germany). Optodes were calibrated against air-saturated and dinitrogen-saturated water for the 100 and 0% oxygen, respectively. Estimations of net photosynthesis (P_n) at LL and HL and respiration (R) were measured by regressing oxygen production against time. Gross photosynthesis (P_g) was assessed by adding R to P_n. At the end of each incubation, coral nubbins were frozen at −20°C prior to the subsequent determination of total chlorophyll content. Briefly, coral tissue was removed from its skeleton in 10 mL filtered seawater (FSW) with an air-brush, homogenized with a potter grinder and transferred into a 15 mL tube before being centrifuged at 8,000 g for 10 min at 4°C. The pellet was re-suspended into 5 mL 100% acetone and stored at 4°C overnight. The next day, samples were centrifuged at 11,000 g for 15 min at 4°C before assessing the chlorophyll content according to the protocol of Jeffrey and Humphrey (1975). Data were normalized to the surface area (cm²) of each nubbin using the wax-dipping technique (Davies, 1989). Conversions of oxygen fluxes to carbon equivalents, based on molar weights, were calculated according to Anthony and Fabricius (2000) and Gattuso and Jaubert (1990). P:R ratio, which shows the autotrophic capability of an organism to self-maintenance was obtained with the following equation: P:R = (P_C × 12)/(R_C × 24), where P_C = Pg × 12/PQ and R_C = R × (12 × RQ). P_C represents the amount of carbon acquired during photosynthesis; R_C is the amount of carbon consumed by respiration; 12 is the C molecular mass; PQ and RQ are the photosynthetic and respiratory quotient respectively and vary according to the in situ light intensity experienced by the holobionts (Gattuso and Jaubert, 1990; Lesser, 2013). Net photosynthesis was considered to be efficient for 11 h light (length of the day in November in Eilat, http://www.iui-eilat.ac.il/NMP/Default.aspx) and respiration for 24 h. P:R ratio was calculated for a period time of 24 h.

Additional nubbins (n = 5 per condition from 5 mother colonies) were used to assess the respiration rates of freshly isolated symbionts. For this, tissues were extracted from live coral samples in 10 mL of FSW and centrifuged at the corresponding temperature. After centrifugation, pellets were re-suspended in 20 mL FSW and disposed for 20 min in aquaria before processing to the respiration rate measurements as previously exposed. Data were normalized to the surface area of each nubbin.

NaH¹³CO₃ and ¹⁵NH₄CL, ¹⁵NaNO₃ Labeling

The following incubations were performed according to Tremblay et al. (2012) and Grover et al. (2002) (Figure 1). For each holobiont (A and C), 40 coral nubbins (8 per colony) were placed in individual beakers filled with 200 mL FSW. Beakers and corals were transferred back to the outdoor water tables; 20 beakers were incubated under ≪ low light ≫ while the other 20 beakers were maintained under ≪ high light ≫ for 5 h (T₀), between 11 a.m. and 4 p.m., to cover the maximal irradiances received at each depth. In addition, for each light level, 10 beakers were enriched with 0.6 mM NaH¹³CO₃ (98 atom %¹³C, #372382, Sigma-Aldrich, St-Louis, MO, USA) and 3 μM ¹⁵NH₄Cl (98 atom %¹⁵N, #24858029, Sigma-Aldrich, St-Louis, MO, USA) while 10 beakers received 0.6 mM NaH¹³CO₃ and 3 μM ¹⁵NaNO₃ (98 atom %¹⁵N, #24862444, Sigma-Aldrich, St-Louis, MO, USA). The concentrations were chosen to provide sufficient enrichment for further analysis. Additional nubbins were incubated in non-enriched water as control samples (natural isotopic abundance). At the end of the 5 h incubation, half nubbins were sampled for T₀ while the other half were transferred into non-enriched seawater for one chase period of 24 h (T₂₄). All nubbins were frozen at −20°C at the end of each time point (T₀ and T₂₄) before tissue extraction (air pick), separation of the symbionts from the animal tissue by centrifugation and freeze-drying of the extracts for conservation.

FIGURE 1

Figure 1. Detailed table summarizing the experimental set up and the different parameters studied according to the number of nubbins used per timesteps [T₀ (5 h incubation) and T₂₄ (chase)]. Modified according to: http://ian.umces.edu/imagelibrary/displayimage-77-6640.html.

The subsequent determination of %¹³C enrichment, %¹⁵N enrichment, C and N measurements in the algal and animal compartments were performed with a Delta plus Mass spectrometer (Thermofisher Scientific, Bremen, Germany) coupled to a C/N analyser (Flash EA, Thermofisher Scientific). The ¹⁵N or ¹³C enrichments were calculated from ¹⁵N-¹³C values obtained from samples exposed to ¹⁵N or ¹³C enriched seawater and from control samples incubated without isotope addition. From the difference between these two measurements, the enrichment was calculated and considered significant when it was at least three times higher than the standard deviation obtained on control samples. From there, the nitrogen and carbon assimilation rates were calculated according to Montoya et al. (1996) based on the particulate nitrogen or carbon content of the sample, the incubation time, the theoretical ¹⁵N and ¹³C enrichment of the incubation water at the beginning and the skeletal surface area of the corals.

The carbon incorporation rates in the symbionts and animal tissue was thus calculated according to Tremblay et al. (2012):

$\begin{array}{l}\rho =\frac{\left(C_{meas}-C_{nat}\right)*M_s*M_c}{\left(C_{inc}-C_{meas}\right)*\left(t_{pulse}+t_{chase}\right)*S}\end{array}$

Where ρ is the carbon incorporation rate in the algal or animal fraction, C_meas and C_nat are the percentages of ¹³C measured in the samples, C_inc is the percent ¹³C enrichment in the incubation medium, M_s is the mass of the freeze-dried sample (mg) and M_c the mass of carbon per milligram of symbiont or animal tissues (μg mg⁻¹); S is the surface area of the nubbin (cm²) and T_pulse and T_chase are the incubation time periods (h) in the light in the enriched and non-enriched medium. C_inc varies during the pulse-chase period and can be calculated as following:

$\begin{array}{l}{C}_{inc}=\frac{\left(C_{pulse}*t_{pulse}\right)+\left(C_{chase}*t_{chase}\right)}{\left(t_{pusle}+t_{chase}\right)}\end{array}$

Where C_pulse and C_chase are the percent ¹³C enrichment of the enriched and non-enriched incubation media, respectively (C_chase = 1.1%).

Furthermore, the amount of photosynthesized carbon translocated from the symbionts to the host can be calculated using the following equation:

$\begin{array}{l}Ts=P_c-{\rho }_s-R_s\end{array}$

Where P_c is the total amount of autotrophic carbon produced by the symbionts; ρ_s is the carbon assimilation rate and R_s the respiration rate of the symbionts.

Assimilation rates of ammonium and nitrate ρ were calculated according to Grover et al. (2002, 2003):

$\begin{array}{l}\rho =\frac{N_{mes}-N_{nat}}{\left(N_{enr}-N_{mes}\right)*T_{inc}*S}*M_s*M_N*{10}^6\end{array}$

Where N_mes is the %¹⁵N measured in the sample; N_nat is the natural ¹⁵N abundance in control nubbin; N_enr is the ¹⁵N enrichment of the incubation medium; T_inc is the incubation time (h) and S is the surface area expressed in cm²; M_s is the total mass of the sample (mg); M_N is the particulate nitrogen mass (mg).

For more detailed information regarding the calculations, please refer to Tremblay et al. (2012) and Grover et al. (2002). Data were normalized to the coral surface area.

Heterotrophic Feeding

Feeding rates were determined at each light level (LL, HL) on 10 nubbins per holobiont (from 5 colonies) following Houlbrèque et al. (2004), by incubating individual fragments in small 400 mL plexiglas chambers equipped with a motor-driven propeller to insure a proper flow speed of 4 cm s⁻¹ as described in Ferrier-Pagès et al. (2010). Chambers were kept in a water bath to maintain the temperature constant. After the full expansion of the polyps, the experiment started by delivering 1,000 Artemia salina nauplii L⁻¹ (previously quantified using a Bogorov counting chamber). Artemia concentration was then determined in triplicate after 0, 15, 30, 45, and 60 min and nauplii were directly replaced in the chamber after counting. Three additional chambers without coral were used to account for a possible decrease in nauplii concentration due to natural death. Feeding rates were calculated as the decrease in the number of preys during the incubation, and were normalized to the nubbin surface area. The concentration of A. salina nauplii used in this study (2,000 cells/L) is high compared to the zooplankton concentration usually measured in the reefs (7 cells/L). However, it is low compared to the concentration of nanoplankton prey (10⁶–10⁷ cells/L). It has only been used to assess the heterotrophic capacities of each coral population for a same amount of food.

Statistical Analysis

Statistical analyses were performed using Statistica 10 (Statsoft, Chicago, IL). All data were expressed as mean ± standard error. Normality and homoscedasticity of the data residuals were tested using Kolmogorov–Smirnov (using Lilliefors corrections) and Levene tests. A one-way ANOVA was used to test the difference in chlorophyll content and respiration rates of the clade A and C-symbionts. Two-way ANOVAs were performed to test (i) the effects of the holobiont (A/C) and the light level (LL/HL) on the net and gross photosynthesis rates, the grazing rates and the P:R and (ii) to test the effect of holobiont (A/C) and fraction (host/symbiont) on the structural C:N. A factorial analysis of variance (ANOVA) was performed to test the effects of time (T₀ and T₂₄), light level, holobiont and fraction on the rates of carbon and nitrogen (NH₄ and NO₃) assimilation, the rates and percentage of photosynthate translocation, and the structural C and N contents (μmol C or N mg⁻¹). Moreover, there was no significant difference between ¹³C measurements obtained in presence of ¹⁵NH₄ or ¹⁵NO₃ either for A and C holobionts (ANOVA, p > 0.05), therefore data were pooled for analysis. Percentages of photosynthate translocation were log-transformed prior analyses. When there were significant differences, the analyses were followed by a posteriori testing (Tukey's test). Finally, Pearson correlations were used to attest the relationships between (i) carbon fixation and translocation and (ii) feeding rates and NH₄ or NO₃ assimilation rates in the algal fraction after 5 h incubation. P-values were considered for p < α, α = 0.05.

Results

Physiological Measurements

Chlorophyll concentration, which was only dependent on the in situ growth conditions of the holobionts (i.e., mainly light) was significantly lower in clade A than clade C-holobionts (Figure 2A; Table S1, ANOVA, p < 0.05). Net rates of photosynthesis (Pn), significantly increased with light for both holobionts (Figure S1A; Tukey HSD, p < 0.001). In addition, while Pn was not different between holobionts under high light, clade A-holobionts presented a lower Pn under low light (Figure S1A; Tukey HSD, p < 0.001). Respiration rates were significantly lower for clade C-holobionts (Figure S1B; Tukey HSD, p < 0.01). Therefore, clade A-holobionts reduced their P:R values with decreasing light intensities from 1.00 ± 0.08 to 0.11 ± 0.1 (Tukey HSD, p = 0.003) while the P:R ratio of clade C-holobionts remained unchanged (6.85 ± 1.5–4.3 ± 1.7 at high and low light respectively, Tukey HSD, p > 0.05), and was higher than the P:R of clade A-holobionts (Tukey HSD, p < 0.02). Feeding rates were significantly lower in clade A than clade C-holobionts, under their natural light level (Figure 2B; Table S1, ANOVA, p < 0.05 and p = 0.02).

FIGURE 2

Figure 2. (A) Total chlorophyll concentration [μg Chl (a+c₂) cm⁻²], (B) Grazing rates (Number of prey cm⁻² mn⁻¹). Statistically significances are indicated in bold letters, p-values are considered for p < 0.05.

NaH¹³CO₃ Labeling—Carbon Assimilation within the Symbiosis

Carbon Acquisition and Allocation within the Symbiosis

The carbon budget of each holobiont was similar in presence of ${\text{NH}}_4^{+}$ and ${\text{NO}}_3^{-}$ for each light level (ANOVA, p > 0.05). Therefore, data represent the mean and standard error of the two measurements.

The amounts of carbon fixed by the symbionts and translocated to the host were significantly affected by both the light level and the clade hosted in each holobiont (Table S2; ANOVA, p < 0.002). Higher rates were indeed observed under high light for both holobionts (Figures 3A,B; Tukey HSD; p < 0.01). However, while clade A fixed and translocated 30% more carbon to the host than clade C under high light (Figures 3A,B; Table S2;Tukey HSD, p < 0.001), the reverse was observed under low light, especially for carbon translocation at T0 (Figure 3B; Tukey HSD, p < 0.05). The rates of carbon incorporation into the symbionts were generally significantly higher than those measured for the host (Figures 4A,B; Tukey HSD, p < 0.03). Higher rates were also generally observed under high light both in the animal and algal fractions of both holobionts (Figures 4A,B; Tukey HSD, p < 0.03).

FIGURE 3

Figure 3. Rates of (A) Carbon fixation (μg C cm⁻² h⁻¹) and (B) Carbon translocation (μg C cm⁻² h⁻¹) for clade A and C-holobionts according to the light intensity. Statistically significances are indicated in bold letters, p-values are considered for p < 0.05.

FIGURE 4

Figure 4. (A) Carbon incorporation rates (μg C cm⁻² h⁻¹) in symbionts and (B) in host for both clade A and C-holobionts according to the different fractions (algal and animal tissue), light intensities (LL/HL), and timesteps (T₀, T₂₄). Statistically significances are indicated in bold letters, p-values are considered for p < 0.05.

Ammonium Assimilation

The assimilation of NH₄ within the symbiosis was affected by both the clade present in each holobiont, the fraction (host/symbionts) considered and the length of the incubation (Table S3, ANOVA, p < 0.0002). Clade effect was very important as clade A-symbionts assimilated ca. 31 and 95% more NH₄ than clade C-symbionts depending on the light level (Tukey HSD, p < 0.03). Clade A symbionts also retained 10–20 times more NH₄ than their host (Figures 5A,B; Table S3; Tukey HSD, p < 0.0001), while clade C symbionts retained the same amount (Table S3; Tukey HSD, p > 0.05). The difference between T₀ and T₂₄ in the assimilation rates showed that clade A symbionts translocated to their host 6.2% of the NH₄ assimilated while clade C symbionts translocated 47.5%.

FIGURE 5

Figure 5. Rates of (A) ¹⁵NH₄ assimilation in symbionts and (B) ¹⁵NO₃ host (μg N h⁻¹ cm⁻²) according to the different fractions (algal and animal tissue), light intensities (LL/HL), and timesteps (T₀, T₂₄). Statistically significances are indicated in bold letters, p-values are considered for p < 0.05.

Nitrate Assimilation

The assimilation of NO₃ was affected by both the clade present in each holobiont, and the fraction (host/symbionts) considered (Table S3, ANOVA, p < 0.001). Higher assimilation rates were observed in the symbiont fraction compared to the host tissue for both holobionts at any timesteps and light conditions (Figures 6A,B; Table S3; Tukey HSD, p < 0.0001). Clade effect was also very important as clade A-symbionts assimilated ca. 38 and 67% more NO₃ than clade C-symbionts depending on the fraction and time of incubation (Table S3, ANOVA, p < 0.001). In addition, the difference between T₀ and T₂₄ in the assimilation rates showed that clade A symbionts translocated 14.3% of the NO₃ assimilated while clade C symbionts translocated 19.4%. An increase in the rate of NO₃ assimilation was also observed between T₀ and T₂₄ in both clade C and clade A symbionts at any timesteps and light intensities (Table S3; Tukey HSD, p < 0.05), except for clade A symbionts exposed to low light (Tukey HSD, p > 0.05).

FIGURE 6

Figure 6. Rates of (A) ¹⁵NO₃ assimilation in symbionts and (B) host (μg N h⁻¹ cm⁻²) according to the different fractions (algal and animal tissue), light intensities (LL/HL), and timesteps (T₀, T₂₄). Statistically significances are indicated in bold letters, p-values are considered for p < 0.05.

C:N Structural

A significant interaction was observed between the fractions (host/symbionts) and the symbiont clade for the structural C:N ratio (Figure S5, Table S4, ANOVA, p < 0.001). The observed difference in C:N between holobionts were due to (1) lower carbon content (μmol C mg⁻¹) of clade C holobionts, mainly in the host (Tukey HSD, p < 0.05; Figure S2); and to (2) lower nitrogen content (μmol N mg⁻¹) of clade C- holobionts in both the host and symbionts (Figures S3, S4;Tukey HSD, p < 0.05). In addition, clade C symbionts showed higher C:N ratio compared to clade A symbionts (Table S4; Tukey HSD, p < 0.05).

Correlation between Studied Parameters

A significant positive correlation was observed between the carbon fixation and translocation rates (Figure 7A; r = 0.918; d.f. = 18; p < 0.05). Significant negative correlations were observed between (a) the NH₄ assimilation and feeding rates (Figure 7B, r = −0.737; d.f = 18; p < 0.05), (b) the NO₃ assimilation and feeding rates (Figure 7C; r = −0.853; d.f = 18; p < 0.05).

FIGURE 7

Figure 7. Relationships between (A) rates of carbon fixation (μg C cm⁻² h⁻¹) and translocation (μg C cm⁻² h⁻¹), feeding and (B) ¹⁵NH₄ or (C) ¹⁵NO₃ assimilation rates for clade A and C-holobionts according to the light intensity after 5 h incubation.

Discussion

This study assessed several aspects of the trophic ecology of the Red Sea coral S. pistillata associated with Symbiodinium clade A in shallow waters and clade C in deep environments (Winters et al., 2003; Mass et al., 2007) forming two different holobionts (Rohwer et al., 2002). The main finding is that clade C-holobionts presented a competitive advantage for the acquisition of carbon at low irradiance compared to clade A-holobionts. This observation is critical to explain the capacity of S. pistillata to colonize deep environments in the Red Sea. In addition, light was the primary factor that determined a positive relationship between the amount of carbon fixed in photosynthesis by the symbionts and the amount of carbon translocated to the host. Symbiodinium genotype was the primary factor influencing nitrogen assimilation rates, although light still played a relevant role in this relationship. Lastly, we observed a negative relationship between feeding rates and inorganic nitrogen assimilation rates. Overall, our results suggest that hosting different symbiont types allows the scleractinian species S. pistillata to colonize both shallow and deep environments in the Red Sea.

Acquisition of Inorganic Nitrogen

The Symbiodinium genotype associated with shallow and deep S. pistillata was one of the primary factors influencing the rates of nitrogen assimilation and translocation. Clade A-holobionts indeed presented higher NH₄ and NO₃ assimilation rates than clade C-holobionts, independently of the irradiance received during the incubation, and for the same nutrient history (comparable inorganic nutrient levels at 5 and 50 m depth in situ, during the sampling month). Consistent with this finding, two recent studies (Baker et al., 2013; Pernice et al., 2015) found that rates of nitrogen acquisition by Acroporidae species (A. tenuis and I. palifera, respectively) were also clade dependent.

Light intensity/history was the second important factor explaining differences in nitrogen assimilation rates between the two holobionts. The importance of light was evidenced by the fact that (i) clade A-holobionts, which came from the highly-lit shallow reef, and which presented a high metabolic activity, showed higher rates of both NO₃ and NH₄ assimilation than clade C-holobionts, sampled in deep environment; (ii) NH₄ assimilation by clade C-holobionts was higher at 350 μmol photons m⁻² s⁻¹ than at 20 μmol photons m⁻² s⁻¹. According to previous observations made on other photosynthetic organisms (Canvin and Atkins, 1974; Amory et al., 1991) or on coral symbionts in culture (Rodríguez-Román and Iglesias-Prieto, 2005) and in hospite (Grover et al., 2002), light can have a direct effect on nitrogen assimilation; this later process is indeed closely dependent on the amount of electrons that can be supplied by the ferredoxin, through the linear electron flow between photosystems I and II. Light can also have an indirect effect on nitrogen assimilation, by changing the metabolic activity of the holobionts. The low C and N contents of clade C-holobionts compared to clade A-holobionts are indicative of a lower metabolic activity, which in turn can lead to lower nitrogen requirements. On the contrary, survival in high light environments for clade A-holobionts can increase both their metabolic activity and their nitrogen demand to repair light-damaged photosystems (Dubinsky and Jokiel, 1994; Dubinsky and Falkowski, 2011).

In addition, the higher assimilation of inorganic nitrogen by clade A-holobiont may compensate for the lack of zooplankton, which is known to be much less abundant in shallow waters compared to deep environments (Schmidt, 1973; Lesser et al., 2009). Conversely, nitrogen can be acquired by clade C-holobionts in deep waters through heterotrophy (Crandall et al., 2016) or through dinitrogen fixation (Lesser et al., 2007). This is confirmed by their higher grazing rates compared to shallow holobionts and by the inverse relationship between heterotrophy and inorganic nitrogen acquisition. This negative correlation suggests that nitrogen assimilation by the holobiont needs to be supported by heterotrophic feeding when the activity of the symbionts is reduced, either due to a reduction in light availability or when the dominant symbiont type presents a reduced ability for nitrogen assimilation.

Additionally, clade A and C-holobionts of S. pistillata had unequal translocation rates and allocation patterns of nitrogen within the symbiosis, likely suggesting different needs of the symbionts and animal host in nitrogen. Consistent with previous results on many cnidarian species, clade A-holobionts showed a higher uptake of NH₄ compared to NO₃ (Wilkerson and Trench, 1986; Wilkerson and Kremer, 1993; Grover et al., 2002, 2003; Pernice et al., 2012), and very low translocation rates to the host. Clade A symbionts thus acted as a sink for nitrogen within the symbiosis (Wilkerson and Kremer, 1993; Grover et al., 2002; Pernice et al., 2012; Kopp et al., 2013). In contrast, clade C-symbionts exhibited similar rates of NH₄ and NO₃ assimilation, and much higher translocation rates to the host. As a consequence, nitrogen was evenly shared between the host and its symbionts.

Carbon Budget

The depths at which S. pistillata colonies were sampled (5 and 50 m) account for extreme living conditions because holobionts were exposed either to high irradiance (>350 μmoles photons m⁻² s⁻¹) or to <30 μmol photons m⁻² s⁻¹ (Cohen and Dubinsky, 2015). By establishing the carbon budget of shallow and deep holobionts of S. pistillata, this study first shows that clade C-holobionts have a competitive advantage for the acquisition of autotrophic carbon at low irradiance compared to clade A-holobionts, and that each holobiont has a different environmental optimum along the irradiance gradient. This study thus confirms previous observations, which concluded that S. pistillata acclimates to depth through photo-adaptive mechanisms linked to the Symbiodinium genotype hosted at each depth distribution (Cohen and Dubinsky, 2015). Overall, many coral species associate with more than one algal taxon, whose relative abundance has been correlated with irradiance gradients (Rowan and Knowlton, 1995; Rowan et al., 1997; Iglesias-Prieto et al., 2004). These changes allow the host to extend its depth range while remaining ecologically dominant. Consistent also with previous observations on deep corals (McCloskey and Muscatine, 1984; Levy et al., 2006; Mass et al., 2007; Cohen and Dubinsky, 2015), low respiration rate was another adaptation of clade C-holobionts to their deep environment. This reduction in respiratory needs maintained the P:R of clade C-holobionts, measured at low light (4.3 ± 1.7), similar to the P:R of clade A-holobionts, measured under high light (1.00 ± 0.08), suggesting that the amount of photosynthates was sufficient to cover the respiratory needs of the deep water colonies. All together, these observations indicate a niche specialization among holobionts of S. pistillata, allowing a maximal acquisition and utilization of carbon throughout the depth profile.

The carbon budget also showed that carbon translocation was closely related to carbon fixation in photosynthesis by the symbionts and was therefore more closely related to light availability than to clade identity. This observation is in agreement with a previous study performed on two scleractinian corals (Tremblay et al., 2015), but challenges the hypothesis that carbon translocation is clade dependent (Leal et al., 2015). Further studies should be carried out, by taking into account different light levels and clade genotypes, to better understand this relationship.

Conclusion

Collectively, the results presented in this study indicate that the vertical distribution pattern of S. pistillata in the Red Sea, and its ability to form mesophotic reefs, can be explained by the presence of specific symbionts adapted to different light regimes. The differential use of light by clade A and C symbionts constitutes an important axis for niche diversification, controlling the abundance and distribution of S. pistillata along the depth gradient. Our results also show that the amount of solar energy that the holobionts absorb drives their metabolic activity, nitrogen assimilation rates and needs as well as their structural C:N content.

Author Contributions

LE, CF, MF, and RG conceived the experiment. LE, CF, and MF performed the experiments. LE and CF made the extractions. JM performed the mass spectrometry analyses. LE, CF, RG, and JM analyzed the data. LE, CF, RG, MF, and JM wrote the manuscript.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The handling Editor declared a shared affiliation, though no other collaboration, with one of the authors MF and states that the process nevertheless met the standards of a fair and objective review.

Acknowledgments

We would like to sincerely thank all the staff at the IUI in Eilat (IL) as well as Dr. JO Irisson from the Observatoire Océanologique de Villefranche-sur-mer (LOV) for his constructive comments and help with the statistical analyses, Vanessa Bednarz and Jérôme Durivault from the CSM. Many thanks to Prof. Denis Allemand, Director of the Centre Scientifique de Monaco for scientific support. Lastly, we would like to thank three reviewers for their constructive comments and time spent on revising our manuscript. This project was supported by the IUI, the Israel Science Foundation for MF, the CSM and the Institut Européen de la mer. Financial support to LE was provided by the Centre Scientifique de Monaco.

Supplementary Material

The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fmars.2017.00102/full#supplementary-material

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