Coral cavity sponges depend on reef-derived food resources: stable isotope and fatty acid constraints

Abstract

The diet of cavity sponges on the narrow fringing reefs of Curaçao, Caribbean was studied. The origin and resources of the bulk food of these sponges, i.e., dissolved organic matter (DOM), were identified using stable carbon and nitrogen isotopes and fatty acid biomarkers. We found that phytoplankton and its derived DOM from the adjacent open sea and from reef overlying water is not the main source of food for most of the sponges examined nor is bacterioplankton. Interestingly, dual stable isotope signatures (δ¹³C_org, δ¹⁵N_org) and fatty acid biomarkers appoint coral mucus and organic matter derived from crustose coralline algae (CCA) as probable food sources for encrusting sponges. Mucus-derived DOM may contribute up to 66% to the diet of examined sponges based on results of dual isotope mixing model analysis. The contribution of CCA (as purported representative for benthic algae) was smaller with values up to 31%. Together, mucus- and CCA-derived substrates contributed for 48–73% to the diet of sponges. The presence of the exogenous fatty acid 20:4ω6 in sponges, which is abundant in coral mucus of Madracis mirabilis and in CCA, highlights these reef-derived resources as sources of nutrition for DOM feeding cavity sponges. The relatively high concentrations of exogenous 20:4ω6 in all sponges examined supports our hypothesis that the bulk of the food of the cavity sponge community is reef-derived. Our results imply that cavity sponges play an important role in conserving food and energy produced within the reef.

Introduction

Sponges play an important role in the benthic-pelagic coupling on coral reefs (Lesser 2006). The sponge community sequesters and processes organic matter and as such conserve energy and nutrients for the reef ecosystem. It is generally assumed that sponges on the fore-reef slope mainly trap allochthonous organic matter that may compensate the losses of material from reef ecosystems (e.g., Richter et al. 2001; Atkinson and Falter 2003; Ribes et al. 2005). Most reef sponges are extremely efficient in filter feeding (e.g., Reiswig 1974; Lesser 2006). They preferably filter the picoplankton fraction from the flowing water (e.g., Pile 1999; Ribes et al. 2003, 2005). The major food resource of coral reef sponges, however, may well be dissolved organic matter (Reiswig 1990; Yahel et al. 2003). Various encrusting high microbial abundance sponges (HMA sponges, sensu Hentschel et al. 2003) in coral cavities are fueled mainly by dissolved organic matter (DOM) (De Goeij et al. 2008a). Encrusting sponges cover together with coralline algae >50% of the walls in coral cavities, caves, and undersides of corals (Vasseur 1974; Richter and Wunsch 1999; Wunsch et al. 2002; Scheffers et al. 2004). This cryptic surface of 3-dimensionally well-developed reefs may exceed the open reef surface (Ginsburg 1983; Richter et al. 2001; Scheffers et al. 2003). The sheer size of this reef habitat already preludes the grand role of its biota in organic matter cycling. DOM removal by the cryptic biota on coral reefs can be huge (up to 500 mmol C m⁻² cryptic surface d⁻¹), with cavity sponges accounting for 70% of the consumed DOM in coral reef cavities (De Goeij and Van Duyl 2007; De Goeij et al. 2008a).

These recent findings draw direct attention to the origin and sources of DOM on coral reefs. Phytoplankton (including photoautotrophic bacteria) usually is the main source of reactive DOM in oligotrophic ocean water; it releases DOM as photosynthetic product or through food web processes and lysis (Carlson 2002). On coral reefs extra sources of reactive DOM include release of DOM by corals through mucus production (Johannes 1967; Richman et al. 1975; Crossland et al. 1980; Naumann et al. 2010) and extracellular release of DOM by benthic algae (e.g., Wada et al. 2007; Haas et al. 2010). The main consumers of reactive DOM are usually heterotrophic bacteria (e.g., Harvey et al. 2006 and references therein) that may compete with sponges for DOM. The fate of mucus and dissolved organic matter in reef overlying waters has been ascribed to consumption and mineralization by bacteria in the reef ambient water and in sediments (e.g., Gast et al. 1999; Ferrier-Pagès et al. 2000; Van Duyl and Gast 2001; Wild et al. 2004). The first indication that reef-derived DOM may also be assimilated by higher trophic levels came from the abundance of the dietary fatty acid biomarker 20:4ω6 in the encrusting DOM feeding cavity sponge Halisarca caerulea (De Goeij et al. 2008b). This fatty acid is especially abundant in corals (Latyshev et al. 1991) and in coralline algae, Rhodophyta (Viso and Marty 1993) and its presence in sponges suggests that reef-derived organic matter may be an important food source for coral reef sponges.

This study aims (1) to determine whether cavity sponges mainly rely on reef-produced or open water-derived dissolved organic matter and (2) to identify key sources of DOM for cavity sponges. As putative food compounds different fractions of suspended matter, bacterioplankton, coral mucus, and coralline algae as proxies for DOM were analyzed. Through stable isotopes and fatty acid biomarkers, we characterized energy sources of cavity sponges collected from coral reefs and open water on the southwest coast of Curaçao, Caribbean (12º12′N, 68º56′W). Stable isotopes are a classical way to trace food sources of aquatic animals (Peterson and Fry 1987). The carbon and nitrogen stable isotope signatures of 12 sponge species were compared with those of putative food compounds. Fatty acid biomarkers have been repeatedly used as source-specific indicators of dissolved and particulate organic matter both in environmental and in food web studies (e.g. Hall et al. 2006; Thurber 2007). The FA pattern of six sponge species and three types of reef food resources were analyzed, and the relative input of different sources to the diet of the sponges was determined.

Materials and methods

Sampling sites and sample collection

Samples were collected from March 14 to 22, 2006, along four transects perpendicular to the SW coast of Curaçao (Fig. 1). Transects were placed 3–7 km apart from SE to NW along the coast at Lagun Jan Thiel (LJT), at the ocean Cruise Terminal in Otrabanda (CT), at Buoy 1 (B1) of the Carmabi reef close to Piscaderabaai, and at Slangenbaai (SB). Transects from the shore to open water cross the narrow fringing reefs and water masses representative for the variation in coral community composition and water quality along the SW coast of Curaçao (Van Duyl 1985; Gast et al. 1999; Van Duyl and Gast 2001). Along each transect (LJT, CT, B1, and SB), we sampled 2 stations:

1. an off-shore open water station about 1–2 km distance from the reef where water was collected at 15–17 m depth in the blue water and

2. a coral reef station where we collected bottom water at 15–17 m depth on the fore-reef slope, approximately 0.5 m above the coral bottom.

Fig. 1.

Position of sampling transects (LJT, CT, B1, and SB) along the southwest coast of Curaçao, with an inset of the geographic position of the island in the Caribbean

Water samples were taken with a 6 L Niskin bottle operated by a SCUBA diver. The Niskin bottle was repeatedly filled and hauled on board a small open boat and emptied in a clean and sample washed 20 L container. At each station (n = 8), we collected 20 L. On the fore-reef slope stations (n = 4), we collected a few small pieces of the stony corals Montastraea annularis and Madracis mirabilis (also Siderastrea siderea and Porites astreoides but only at B1) between 15 and 17 m depth, which were kept in seawater under natural light conditions until mucus collection on the next day. From the entrance of coral cavities at 15–17 m depth on the fore-reef slope, we chiseled crusts of calcareous algae. From the same cavities, various species of encrusting sponges were collected, up to eight different species per station. Specimens were chiseled from the walls and collected in plastic bags while SCUBA diving.

Sample treatment

The 20-L water samples were filtered over 47-mm-diameter combusted glass microfiber filters (Whatman), first over a GFC filter (nominal pore size 1.2 μm) and then over a GFF filter (nominal pore size 0.7 μm). After sea water filtration, filters were shortly washed with Milli-Q water (MQ) to remove salt and were dried at 50°C in a stove and stored in aluminum foil in the freezer until processing. The remaining bacterioplankton in the GFF filtrate was concentrated with a Vivaspin filter cartridge driven by a Master Volt tube pump. The concentrate was subsequently filtered over a 0.2 μm pore size 25-mm-diameter Anopore disc (aluminum oxide membrane filter, Whatman). The discs were briefly washed with MQ after seawater filtration and dried at 50°C in a stove (12 h). After drying, the filter was crumbled in a clean acid-washed glass funnel, the integrated polypropylene support ring of the filter was removed and the filter fragments were transferred to combusted silver capsules, which were closed with tweezers. Subsequently, the folded capsules were placed in coded trays and stored in the freezer until processing.

Live corals were air-exposed during mucus collection and positioned upside down connected to a stand. After shortly spraying the live coral tissue with MQ, the mucus produced by the coral was collected via an acid-washed glass funnel in combusted glass vials. After collection of approximately 2 mL mucus per coral, mucus samples were dried in a stove at 50°C before being stored dry in the freezer. Mucus samples were prepared in duplicate.

The cavity sponges and coralline algae were quickly washed with MQ to remove salt and the tissue was subsequently removed from the underlying substratum by knife and scalpel. Small pieces were fixed in ethanol (80%) for taxonomical identification of the different sponge species. The rest of the pieces were collected in combusted glass vials dried at 50°C and stored dry in the freezer.

Sponges and putative food sources were subject to stable isotope analysis. Both carbon and nitrogen (except for bacteria for which only δ¹³C_org was measured) isotopic composition of the samples were determined using a Fisons CN analyser coupled on line via a Finnigan conflo 2 interface, to a Finnigan Delta S mass spectrometer. The carbon and nitrogen isotope ratios are expressed as δ¹³C_org and δ¹⁵N relative to the Vienna Pee Dee Belemnite standard and air, respectively, and the standard error of the measurements is ~0.15‰. All carbon isotope samples (except bacteria that were caught on aluminum filters) were acidified (tissue directly with acid and glass filters in acid vapor) prior to measurements and corrected for individual sets of blanks (isotope mass balance corrections). Seawater as source of carbonates leading to possible enrichment of δ¹³C_org in case of un-acidified aluminum bacteria filters was eliminated by the rinse with MQ water at the end of filtration. δ¹⁵N values represent total nitrogen.

The dried sponge, coralline algae, and mucus material were first homogenized in a mortar. For isotope measurements, adequate amount of material was transferred to pre-combusted silver boats for acidification within cups, followed by oven drying to remove excess acid. From the remaining grounded material, samples from the B1 reef station were also analyzed for their total fatty acid composition using a method of one-step procedure of fatty acid extraction and methylation (Masood et al. 2005). We extracted three times 10 mg dry material of each individual sample. Fatty acid extraction and preparation of methyl esters (FAME) were carried out according to Masood et al. (2005) with reagent volumes adapted for use in 2.5-mL GC-vials using FAME C19:0 as internal standard to calculate concentration of FAs (Van Gaever et al. 2009). These individual samples were analyzed separately for their FA compositions employing a Large Volume Splitless injection method on a Thermo Finnigan Trace Ultra GC. Main items of this method are the large volume liner with glass wool, pre-column deactivated silica 5 m × 0.53 μm, and analytical column SGE BPX-70 50 m × 0.32 mm × 0.25 μm. The identification of FAMES was based on the comparison of retention times with authentic commercially available reference material and standards. Fatty acid source designation was achieved using data on distinctive FA for bacteria, algal carbon, and higher organisms (e.g., Parrish et al. 2000; Boschker and Middelburg 2002; Volkman 2006).

Statistical analyses

We ran one- and two-way ANOVAs with non-transformed stable isotope data to determine whether variations in stable isotopes of sponges were due to sponge species and/or sponge location assuming no interaction effects (not enough replication for testing interaction). The Tukey’s HSD method was used for pair wise comparisons of different sponge species (multiple comparisons of means). ANOVA’s were also run for isotope signals of reef and open water-derived suspended matter.

The SIAR stable isotope mixing model analysis (Parnell et al. 2010) was applied to investigate probable solutions for the diet of sponges based on dual stable isotope data of four sources (GFC and GFF fractions of suspended matter, crustose coralline algae, and coral mucus). We used the following trophic enrichment factors with standard deviations for the sponges: 3.5 ± 0.5 for δ¹⁵N and 1 ± 1 for δ ¹³C (Vander Zanden and Rasmussen 2001; Behringer and Butler IV 2006). The SIAR model takes data on organism isotopes and fits a Bayesian model to their dietary habits based upon a Gaussian likelihood with a mixture dirichlet-distributed prior on the mean. Model fitting is via Markov Chain Monte Carlo (MCMC) which produces simulations of plausible values for each dietary source consistent with the data. The software package SIAR (Stable Isotope Analysis in R) is freely available from the package section of the Comprehensive R Archive Network website—http://cran.r-project.org/ (Parnell and Jackson 2010).

Fatty acid composition patterns were explored with multivariate analyses of FAs composition profiles (non-transformed percentage abundance) using the program PRIMER Version 5 (Clarke and Gorley 2006). Multi-dimensional scaling (MDS plots) of FA composition and dual isotope label patterns were compared for six sponge species and the three different reef-derived resources (CCA, mucus of M. annularis, and mucus of M. mirabilis). Similarities between FA profiles were investigated using the SIMPER (Similarity of Percentages) function, and statistical differences were determined using the ANOSIM (Analysis of Similarities) function.

Results

The sponge species collected on the reef stations were identified on basis of their tissue and skeletal characteristics. Twelve different sponge species were recorded. Sponges had δ¹³C_org values ranging from −17.2‰ (Chondrilla caribensis, Ruetzler et al. 2007) to −20.7‰ (Scopalina ruetzleri) and δ¹⁵N values ranging from 2.9‰ (Monanchora arbuscula) to 7.1‰ (Scopalina ruetzleri) (Table 1). Variations in δ¹³C_org and δ¹⁵N data were significantly related to sponge species (ANOVA, F_(5,17) = 30.3 and F_(5,17) = 15.8, P < 0.01 for both) and not to reef station (F_(3,17) = 1.16 and F_(3,17) = 0.83, P > 0.35 for both). Significant differences in δ¹³C as well as δ¹⁵N (P < 0.05) were found between S. ruetzleri and H. caerulea, S. ruetzleri and Niphates erecta, N. erecta and M. arbuscula, which were sampled at three to four reef sites (Table 1). Differences in dual stable isotope values between sponge species were small when compared to isotope values of sources. Therefore, the sponge data of the different transects were combined in the Fig. 2a, b. The stable isotope signals of particulate organic matter size fractions were not significantly different between the open water and reef water (ANOVA, P > 0.05), but were kept separate in Fig. 2a, b. Figure 2a shows that open water and reef water bacteria have on average slightly different δ¹³C signatures. Variations in δ¹³C_org values of bacterioplankton were large between stations (LJT and SB vs. CT and B1, Table 2). Only the reef water bacteria of station SB (δ¹³C: −17.9‰) were in trophic reach of sponges (<2‰ difference). The sponge trophic range overlaps with the range of coralline algae (average δ¹³C of −16.9 ± 4.2‰). Variations in isotope signals were also large between algal samples from different stations. Coral mucus of Montastraea annularis and Madracis mirabilis was on average heavier in ¹³C_org content than the sponges (Table 2). Coral mucus and coralline algae are potential sponge food because of a trophic level δ¹⁵N increase of 3–4‰ (Fig. 2b).

Table 1.

Sponge species collected at four reef stations with their respective average isotope signatures

Cryptic biota	Station	LJT Lagun Jan Thiel		CT Cruise terminal		B1 Carmabi reef		SB Slangenbaai
	Code	δ13C	δ15N	δ13C	δ15N	δ13C	δ15N	δ13C	δ15N
Halisarca caerulea n = 7	SP1	−18.79	3.69			−18.45	4.12	−18.33	3.16
		−18.48	4.02			−18.20	4.09
		−17.87	4.07			−18.73	4.63
Clathria (Thalysis) raraechelae n = 1	SP2					−18.91	4.03
Chondrilla caribensis n = 1	SP3					−17.16	3.83
Chelonaplysilla erecta n = 1	SP4					−19.94	4.68
Desmapsamma anchorata n = 1	SP5					−18.81	5.61
Scopalina ruetzleri n = 6	SP6	−19.76	5.90	−20.26	4.85	−20.79	5.48	−20.02	6.13
						−19.41	7.07	−20.06	5.86
Eurypon laughlini n = 2				−18.95	5.67			−18.51	5.78
Topsentia ophirhaphidites n = 2				−19.63	5.37
				−19.27	5.82
Niphates erecta n = 6		−17.70	4.01	−17.65	4.79	−17.93	4.47	−17.99	4.21
				−17.97	4.71
				−18.00	4.71
Callyspongia vaginalis n = 2		−17.72	3.79	−17.47	4.37
Monanchora arbuscula n = 5		−20.38	3.83			−20.40	3.42	−19.82	3.28
		−19.95	2.84					−19.47	3.63
Phorbas amaranthus n = 1						−18.86	4.40

Codes SP1–SP6 refer to sponges collected at B1 and correspond to sponge data presented in Fig. 3

Fig. 2.

Plots of carbon (a) and nitrogen (b) stable isotope signatures of material collected from the four reef and four open water stations (average and standard error). Sponges (n = 35), Bacteria (Bact n = 8), Coral mucus (n = 9), Glass microfiber filters coarse (GFC) and fine (GFF) represent values of suspended matter (SPM) collected either from reef water or from open water offshore (n = 4 or 5). Crustose coralline algae from two reef stations (n = 3)

Table 2.

Average isotope signatures of putative food sources for sponges collected from reef stations LJT, CT, B1, and SB (replicates, n = 2–3, standard errors range from 0 to 0.4, not shown)

Substrate sources	Station	LJT Lagun Jan Thiel		CT Cruise terminal		B1 Carmabi reef		SB Slangenbaai
	Code	δ13C	δ15N	δ13C	δ15N	δ13C	δ15N	δ13C	δ15N
SPM-GFC
Open water		−21.77	5.27	−23.87	3.37	−22.96	7.00	−21.61	3.94
Reef water		−23.72	4.51	−23.38	5.17	−23.83	3.67	−22.53	2.66
Crevice water						−21.40	2.96
SPM-GFF
Open water		−20.86	3.81	−23.92	1.97	−25.87	2.84	−21.52	4.69
Reef water		−21.19	4.53	−24.86	3.00	−24.36	4.40	−22.09	3.80
Crevice water						−24.08	3.20
Bacteria
Open water		−21.93	nd	−26.02	nd	−27.31	nd	−19.42	nd
Reef water		−15.36	nd	−26.40	nd	−27.41	nd	−17.85	nd
Macroalgae
Coralline algae	CCA			−13.37	3.60	−25.20	1.30
				−12.12	−4.05
Coral mucus
M. annularis	MU1	−15.46	0.54	−15.78	4.12	−16.46	−2.35	−14.24	3.21
M. mirabilis	MU2	−17.95	2.12	−16.53	4.24	−17.64	1.71
S. siderea						−17.80	0.55
P. astreoides						−16.87	1.11

Suspended particulate matter (SPM) fractions collected on coarse (GFC) and fine (GFF) glass fiber filters. Bacterioplankton (Bacteria) was collected on aluminum oxide (anopore) membrane filters. Codes CCA and MU1, MU2 refer to data collected at B1 and correspond to data presented in Fig. 3

nd not done

Pooled analysis with the mixing model (no distinction between sites or sponge species) show that mucus (MU1 and MU2 combined) contributed to the average cavity sponge diet between 44 and 57% (=95% low and high confidence limits, mode 50%), CCA between 0 and 10% (mode 2%), and the different SPM fractions between 0 and 33% (mode 7%) for GFC and 14 and 47% (mode 37%) for GFF (Table 3a). Of the overall diet 51% (mode) was reef-derived. Variation in the δ¹³C and δ¹⁵N of CCA between stations was large. Therefore, we ran the SIAR mixing model also separate for the stations for which CCA data were available, CT and B1 (Tables 2, 3b, c). Pooled analysis of sponges at CT (no distinction between sponge species) reflected a higher CCA contribution (between 6 and 43%, mode 31%) than mucus (0–46%, mode 17%). Together CCA and mucus contributed 48% (mode) to the diet of sponges. Suspended matter supplemented the diet between 0 and 40% for the GFC fraction (mode 17%) and 11–55% for the GFF fraction (mode of GFC and GFF fractions together 51%, Table 3b). At B1, where coral cover is higher than at CT (Van Duyl 1985; pers comm), the diet of an average cavity sponge (no distinction between sponge species) was dominated by reef-derived sources (73%) with coral mucus and CCA contributing for 60 and 13% (mode) and with 95% confidence between 50–68% and 0–30%, respectively (Table 3c). The contribution of suspended matter fractions GFC and GFF was within the 0–28/0–30% range (modes 11 and 5%), respectively.

Table 3.

Dual isotope mixing model analyses of the diet of sponges

Sources	Low 95%	High 95%	Mode	Mean	Mode%	Mean%
(a) Average diet of sponges (four stations)
GFC ro	0	0.326	0.071	0.138
GFF ro	0.140	0.474	0.371	0.321	44.2	45.9
CCA	0	0.095	0.015	0.039
MucMix	0.435	0.572	0.498	0.502	51.3	54.1
(b) Diet of sponges at CT
GFC ro	0	0.402	0.170	0.194
GFF ro	0.112	0.552	0.335	0.333	50.5	52.7
CCA	0.063	0.428	0.308	0.254
MucMix	0	0.455	0.172	0.218	48	47.2
(c) Diet of sponges at B1
GFC ro	0	0.275	0.106	0.122
GFF ro	0	0.300	0.053	0.130	15.9	25.2
CCA	0.001	0.301	0.131	0.155
MucMix	0.502	0.682	0.596	0.593	72.7	74.8

The sources comprise two suspended matter size fractions, GFC ro >1.2 μm and GFF ro >0.7 and <1.2 μm from reef overlying and open water (ro), CCA representing crustose coralline algae and MucMix representing coral mucus of two different coral species, M. annularis and M. mirabilis. The 95% credibility intervals are presented of the different sources as well as the mode and the mean. Mode% and mean% show the contribution of plankton-derived (GFC and GFF) and reef-derived organic matter (CCA and MucMix) in the diet as %

For six sponge species, CCA and mucus of two coral species at B1 dual isotopes as well as fatty acid patterns were measured (Fig. 3; Table 4). A total of 43 FAs were identified. FAs in sources were also present in most sponges, but the diversity in FAs was higher in sponges. Differences between sources (CCA and mucus) and sponges in the fatty acid compositions are illustrated in Fig. 4. The Euclidean distances show that the FAs of sponges cluster together and are distinct from the sources. Main FAs of the sponge cluster included, in order of importance 16:0, 20:4ω6, 18:0, 20:5ω3, 18:1ω7c, and branched 20:0 (phytanic acid) whereas in the case of the potential energy sources this included 16:0, 18:0, 18:1ω9c, and 20:4ω6 (Table 4). The source groups were significantly different (ANOSIM, Global R = 0.8, P < 0.05) from the sponge group and SIMPER analysis revealed that the differences are the relatively higher percentage abundance of 16:0, 20:4ω6, 18:0, and 18:1ω9c in coral mucus and coralline algae but higher percentage abundance of phytanic acid, 24:0 and 20:5ω3 in the sponges. These 7 FAs together accounted for ~60% of the FA dissimilarity (Table 4; Fig. 4). Among the three different sources, coralline algae, mucus of Montastraea annularis, and Madracis mirabilis, composition patterns were also significantly different (ANOSIM, Global R = 1, P < 0.05). SIMPER analysis revealed two very dominant fatty acids in the coralline algae (16:0 and 20:4ω6) that together accounted for ~73% of the FA; in mucus from M. annularis (MU1), four abundant FAs made up ~70% (16:0, 18:0, 20:5ω3, and 18:1ω9c); in mucus from M. mirabilis (MU2), three abundant FAs made up ~70% (16:0, 18:0, and 20:4ω6, Table 2). The major FAs accounting for the dissimilarity between mucus from the two different coral species is the relatively higher percentage abundance of 20:4ω6 and 18:0 in M. mirabilis (MU2) but a relatively higher percentage abundance of 18:1ω7c and 20:5ω3 in M. annularis (MU1) with these 4 FAs accounting for ~60% of the dissimilarity between the coral species (Table 4). There was low similarity in FA patterns between most of the sponges. Three groups of sponges were distinguished among the 6 sponge species (Fig. 4: H. caerulea (SP1), C. caribensis (SP3) and C. erecta (SP4) make up the first group; C. raraechelae (SP2) and D. anchorata (SP5) the second and S. ruetzleri (SP6) the third group). SIMPER analysis revealed different combinations of FAs, in order of dominance, accounting for ~70% of sponge group similarity: for the first group (SP1, SP3, and SP4) FAs 16:0, br 20:0 (phytanic acid), 18:0, 20:4ω6, i15:0, and 16:1ω7c are the main FAs. In the second group (SP2 and SP5) FAs 16:0, 20:4ω6, 24:0, 18:1ω7c, 22:0, 20:5ω3, and 20:6ω3 determined primarily the composition pattern. In the third group (SP6), these were the five FAs: 16:0, 20:4ω6, 18:0, 20:5ω3, and 14:0 (Table 4).

Fig. 3.

Carbon and nitrogen isotopes of six sponge species (SP1–SP6) and putative organic matter sources for sponges at reef site B1. The average and standard error for SP1 (n = 3) and SP6 (n = 2), GFC-SPM (n = 3), GFF-SPM (n = 3) is presented. Other data points (SP2, 3, 4, and 5, CCA and mucus from two coral species, Montastraea annularis (MU1) and Madracis mirabilis (MU2) do not have replicates other than repetitive sample analysis of the same specimen). See also Tables 1, 2

Table 4.

Fatty acid composition of six sponge species (SP1–SP6, see Table 1), one crustose coralline alga (CCA) and mucus (MU) from two coral species (see Table 2), all collected from reef site B1

	SP1	SP2	SP3	SP4	SP5	SP6	CCA	MU1	MU2
i14:0a	0 (0)	0 (0)	0.7 (0.02)	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)
14:0	6.6 (0.55)	2.6 (0.05)	2.3 (0.08)	3.6 (0.40)	3.8 (0.55)	9.1 (0.24)	3.5 (0.10)	5.3 (0.21)	2.6 (0.05)
ai15:0a	0.6 (0.05)	0 (0)	2.6 (0.02)	0.5 (0.27)	0.1 (0.07)	0.3 (0.06)	0.04 (0.04)	0 (0)	0 (0)
i15:0a	5.3 (0.24)	0.3 (0.06)	9.8 (0.05)	5.4 (0.25)	0.8 (0.04)	0.5 (0.16)	0 (0)	3.8 (1.90)	4.2 (0.08)
15:0	1.2 (0.11)	0.5 (0.01)	1.1 (0.07)	1.4 (0.07)	1.7 (0.15)	7.5 (0.23)	0.3 (0.07)	0 (0)	0 (0)
i16:0a	0.6 (0.08)	0.4 (0.02)	1.3 (0.02)	0.4 (0.20)	0.7 (0.05)	1.9 (0.05)	0.3 (0.02)	0 (0)	0 (0)
10Me-16:0a	0 (0)	0 (0)	0 (0)	0 (0)	0.4 (0.07)	0 (0)	0 (0)	0 (0)	0 (0)
16:2ω6	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)	0.51 (0.03)
16:2ω4	0 (0)	0.2 (0.03)	0 (0)	0 (0)	0.5 (0.00)	0.1 (0.09)	0.04 (0.04)	0 (0)	0 (0)
16:1ω5c	0 (0)	0.7 (0.03)	0.9 (0.03)	0.4 (0.18)	0.6 (0.03)	0.4 (0.02)	0 (0)	0 (0)	0 (0)
16:1ω7ca	3.3 (0.16)	1.6 (0.02)	12.6 (0.03)	4.0 (0.11)	4.2 (0.16)	2.1 (0.04)	0.5 (0.06)	3.9 (0.50)	0.6 (0.04)
16:1ω7ta	0 (0)	0.15 (0.02)	0.79 (0.01)	0 (0)	0.1 (0.07)	0.3 (0.04)	0 (0)	0 (0)	0 (0)
16:0	17.1 (1.73)	13.2 (0.27)	18.4 (0.19)	20.5 (0.39)	12.1 (0.62)	19.6 (0.52)	40.7 (0.21)	30.8 (0.84)	27.8 (0.66)
10Me-17:0a	0 (0)	0 (0)	0.8 (0.15)	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)
17:1ω7c	0.9 (0.66)	0.1 (0.00)	1.9 (0.10)	8.5 (0.42)	0.5 (0.11)	0.7 (0.22)	0.4 (0.12)	0 (0)	0 (0)
17:0	1.9 (0.08)	0.5 (0.04)	0.5 (0.49)	2.6 (0.13)	1.4 (0.00)	0.5 (0.09)	0.3 (0.00)	0.5 (0.03)	0 (0)
i18:0a	0 (0)	0.6 (0.05)	0.3 (0.05)	0 (0)	0.6 (0.09)	0.4 (0.02)	0 (0)	0 (0)	0 (0)
18:5ω3	0.2 (0.22)	1.1 (0.03)	0.2 (0.05)	0 (0)	1.7 (0.23)	0.1 (0.05)	0.1 (0.00)	1.5 (0.04)	0 (0)
18:5	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)	0 (0)	2.1 (1.03)	0 (0)
18:3ω6	0.6 (0.56)	0.3 (0.02)	0.1 (0.04)	0 (0)	0 (0)	0 (0)	0 (0)	4.1 (0.31)	0 (0)
18:3ω3	0.5 (0.25)	0.1 (0.07)	0 (0)	0.8 (0.21)	0.3 (0.26)	0 (0)	0 (0)	0 (0)	0 (0)
18:2ω6c	1.8 (0.12)	0.8 (0.07)	0.3 (0.02)	2.2 (0.09)	0.6 (0.30)	0.9 (0.06)	0.8 (0.02)	0.4 (0.20)	0.8 (0.05)
18:1ω7c	5.7 (0.12)	9.7 (0.06)	3.3 (0.10)	5.5 (0.04)	6.6 (0.15)	2.0 (0.06)	4.5 (0.05)	8.1 (0.33)	0.7 (0.03)
18:1ω9c	2.5 (0.50)	1.9 (0.06)	1.9 (0.11)	4.2 (0.14)	1.4 (0.26)	2.0 (0.08)	11.2 (0.10)	9.1 (0.32)	7.3 (0.12)
18:0	9.4 (0.25)	4.0 (1.61)	9.7 (0.23)	10.2 (0.29)	5.6 (0.46)	11.5 (0.06)	3.0 (0.02)	15.5 (0.34)	25.4 (0.74)
i20:0a	0.2 (0.20)	0.8 (0.01)	0 (0)	0 (0)	1.1 (0.14)	0 (0)	0 (0)	0 (0)	0 (0)
20:5ω3	4.5 (0.26)	6.3 (0.24)	3.4 (0.01)	3.0 (0.25)	5.0 (0.36)	11.7 (0.26)	0.1 (0.05)	11.0 (0.15)	4.4 (0.44)
20:4ω3	0 (0)	0.10 (0.05)	0 (0)	0 (0)	0.4 (0.08)	0.7 (0.35)	0.3 (0.30)	0 (0)	0 (0)
20:4ω6	10.6 (0.68)	11.1 (0.24)	9.1 (0.25)	8.1 (0.11)	10.7 (0.48)	15.2 (0.27)	32.2 (0.75)	0 (0)	15.0 (0.34)
20:3ω6	0.7 (0.13)	0.7 (0.12)	0.5 (0.06)	0.6 (0.08)	0.5 (0.03)	0.5 (0.05)	0.4 (0.03)	0 (0)	0 (0)
20:3ω3	0 (0)	0.1 (0.07)	0 (0)	0.1 (0.12)	0.3 (0.13)	0.1 (0.13)	0 (0)	0 (0)	0 (0)
Phytanic acid	15.5 (1.34)	2.9 (0.13)	13.4 (0.26)	8.3 (0.29)	1.8 (0.30)	1.3 (0.19)	0.2 (0.03)	0 (0)	0 (0)
20:1ω9c	0.6 (0.39)	0.2 (0.05)	0.1 (0.00)	0 (0)	0.5 (0.10)	0.1 (0.05)	0.2 (0.04)	0 (0)	0.3 (0.28)
20:2ω9	0.3 (0.15)	0.3 (0.05)	0 (0)	0.8 (0.02)	0.9 (0.40)	2.6 (0.04)	0.1 (0.04)	0 (0)	0 (0)
20:0	0.9 (0.04)	2.2 (0.06)	0.8 (0.04)	1.7 (0.05)	3.5 (0.16)	2.5 (0.03)	0.3 (0.05)	3.1 (0.14)	6.4 (0.21)
22:6ω3	1.0 (0.01)	8.4 (0.14)	0.1 (0.06)	2.6 (0.27)	3.6 (0.28)	1.9 (0.02)	0 (0)	0 (0)	0 (0)
22:5ω3	0 (0)	0 (0)	0.1 (0.09)	2.8 (0.30)	0 (0)	0 (0)	0.1 (0.03)	0 (0)	0 (0)
22:4ω6	0.5 (0.06)	1.9 (0.14)	0 (0)	0.6 (0.58)	0.3 (0.12)	0 (0)	0 (0)	0.9 (0.44)	1.9 (0.14)
22:1ω11	0.2 (0.20)	0.1 (0.03)	0.5 (0.06)	0.1 (0.11)	0 (0)	0 (0)	0.1 (0.03)	0 (0)	0 (0)
22:1ω9c	0 (0)	0 (0)	0.1 (0.05)	0 (0)	0 (0)	1.0 (0.08)	0.1 (0.07)	0 (0)	0 (0)
22:0	1.9 (0.18)	4.2 (0.25)	0.7 (0.03)	0.4 (0.19)	18.1 (0.89)	0.8 (0.20)	0.2 (0.05)	0 (0)	2.2 (0.09)
23:0	1.5 (0.17)	2.1 (0.34)	0.9 (0.05)	0.1 (0.12)	2.0 (0.14)	0.1 (0.06)	0 (0)	0 (0)	0 (0)
24:0	3.5 (0.31)	20.3 (0.96)	1.1 (0.10)	0.6 (0.06)	7.8 (0.32)	1.8 (0.04)	0.3 (0.05)	0 (0)	0 (0)
% bact-spec	6.6/9.9	2.2/3.8	16.2/28.7	6.3/10.3	3.7/7.8	3.4/5.5	0.3/0.8	3.8/7.7	4.2/4.8

Average % ± SE (n = 3)

^aBacteria-specific FA and last row is average % bacteria specific FA (bact-spec) with/without inclusion of 16:1ω7c

Fig. 4.

Multidimensional scaling (MDS) plot showing similarity in fatty acid composition profiles of six sponge species (SP1–6), crustose coralline algae (CCA) and the mucus of two coral species, Montastraea annularis and Madracis mirabilis, at reef site B1 (see Table 4 for list of fatty acids)

For these three distinguished sponge groups at B1, we also ran the isotope mixing model (Table 5). Results show that the three groups make proportionally different use of the sources. The first group appears to rely mainly on reef-derived sources (mucus and CCA, mode and mean both >75%). The second group probably relied less on mucus and more on CCA and used more plankton-derived food compared with group 1. The diet of group 3 (=S. ruetzleri only) consists for about 51% (mean) of reef-derived and 49% (mean) of suspended matter (plankton) derived food. Group 1 has a smaller centroid Euclidean distance (23.64) to the average mucus mixture than groups 2 and 3 (32.43 and 24.55) in Fig. 4. This concurs with a larger contribution of mucus (66%) to the diet of group 1 than that of the other two groups (36 and 33%) (Fig. 4; Table 5). The lower contribution of CCA in the diet of group 1 (10% mode) compared to group 3 (19% mode) was also reflected in Fig. 4. We did not find this for group 2, which had the longest Euclidean distance to CCA (41.81 vs. 33.78 of group 3 and 37.37 of group 1), while CCA-derived food comprised 22% in the diet of this group. To further explore the relation between the stable isotope and FA data sets, we compared the matrices of FAs and dual isotope signatures of sponges and reef resources (Figs. 3, 4) and found a significant correlation between the two matrices (PRIMER, Rho = 0.625, P = <0.01).

Table 5.

Results of dual isotope mixing model analyses for different sponge groups at B1

Sources	Low 95%	High 95%	Mode	Mean	Mode%	Mean%
(a) Diet of group 1
H. caerulea, C. caribensis, C. erecta (SP1, SP3, SP4)
GFC ro	0	0.284	0.036	0.117
GFF ro	0	0.244	0.036	0.104	7.2	22.1
CCA	0	0.286	0.095	0.132
MucMix	0.504	0.796	0.658	0.647	75.3	77.9
(b) Diet of group 2
C. raraechelae, D. anchorata (SP2, SP5)
GFC ro	0	0.432	0.167	0.216
GFF ro	0	0.43	0.202	0.208	36.9	42.4
CCA	0	0.451	0.219	0.219
MucMix	0.077	0.606	0.357	0.357	57.6	57.6
(c) Diet of group 3
S. ruetzleri (SP6)
GFC ro	0.003	0.487	0.292	0.259
GFF ro	0	0.453	0.285	0.232	57.7	49.1
CCA	0	0.421	0.188	0.207
MucMix	0.023	0.516	0.327	0.302	51.5	50.9

For further explanation, see Table 3

Discussion

Cryptic encrusting sponges living in coral cavities on the fore-reef slope of fringing reefs sequester most of their organic matter from the passing water. They efficiently filter the pico- and nanoplankton, but dissolved organic matter (DOM) appears to be the major resource of various sponge species living on the open reef and in coral cavities (Yahel et al. 2003; De Goeij et al. 2008a). The origin and source of this organic matter is unknown. It may be DOM released from phytoplankton, DOM supplied to the reef from outside or DOM released from the reef benthos. Gradients in DOM concentrations over the reef suggest that there is a net release of DOM from coral reef waters to adjacent open waters (Van Duyl and Gast 2001). Only 10–20% of the DOM in reef water appears to be available for sponges (De Goeij et al. 2008a). By analyses of dual stable isotope signatures (δ¹³C_org and δ¹⁵N) and FA patterns of sponges and their potential food sources, we obtained circumstantial evidence that the reef itself mainly feeds her cavity sponges. This remarkable finding implies that cryptic sponges support reef internal nutrient recycling and conservation of reef organic matter.

It was surprising that none of the 12 sponge species examined appeared to live mainly on suspended particulate organic matter or DOM derived from this source. The δ¹³C_org values of the SPM fractions were in the range reported for marine suspended matter (Peterson and Fry 1987). Bacterioplankton values were within 2‰ of SPM in open water, which indicates that bacteria were the primary consumers of SPM. This makes it highly likely that SPM represents predominantly phytoplankton and that the bacterioplankton reflects the δ¹³C isotope ratio of reactive DOM released by phytoplankton (e.g., Harvey et al. 2006; Van den Meersche et al. 2009). The δ¹³C of SPM did not change during passage over the reef, for instance by obtaining a typical δ¹³C SPM reef signal (−17 to −20‰: Land et al. 1975; Fry et al. 1982; Yamamuro et al. 1995). The δ¹⁵N of SPM did not change either and remained ~4‰. Moreover, at two of the four stations (CT and B1) comparable δ¹³C_org values of predominantly heterotrophic bacterioplankton (−26, −27‰, Table 2) between open water and reef bottom water suggest that this bacterioplankton remained dependent on phytoplankton DOC. Such low δ¹³C values have been reported, for e.g., Synechococcus (δ¹³C −33 to −25‰, Brutemark et al. 2009) and Prochlorococcus, both abundant in reef and open water along Curaçao (Van Duyl et al. 2002). Residence time of the SPM and bacterioplankton in reef overlying waters may have been too short for changes in isotopic ratios either due to rapid water exchange with the open water and/or due to SPM removal by benthic suspension feeders. Phytoplankton concentrations in reef surrounding waters in Curaçao are usually low (van Duyl et al. 2002), and the organic matter demand of cryptic biota, cryptic sponges in particular, is high. Cavity biota between 10 and 15 m depth on the fore-reef slope in Curaçao consume on average 350 mmol C m⁻² d⁻¹ of which cavity sponges consume on average 256 mmol C m⁻² d⁻¹ (73%) with the DOC fraction comprising >90% of the diet (De Goeij et al. 2008a). This organic matter supply is orders of magnitude higher than the supply of pelagic primary production to reefs (Richter et al. 2001; Genin et al. 2009). It is evident that the supply of open water-derived phytoplankton and its DOM release is insufficient to satisfy the total organic carbon requirements of coral reef cavity sponges. In accordance, the isotope mixing model results confirmed a SPM contribution of less than <50% in the diet of most sponges. This implies that the examined sponges with average δ¹³C_org of −18.9‰ and δ¹⁵N of 4.6‰ mainly assimilate other sources than pelagic primary production.

Benthic primary production is the most likely other source of DOM for sponges. Presence of distinct reactive DOM in reef bottom water compared to open water was demonstrated by the increased δ¹³C value of bacterioplankton at two of the four stations (LJT and SB). Bacterioplankton apparently assimilated a source of carbon not available in the open water, a source, which may also be available to the DOM feeding cavity sponges. Benthic primary producers usually have higher δ¹³C_org values than pelagic primary producers (France 1995; Fry 2006). Thus, assimilation of benthic algae-derived reactive DOC may explain the elevated δ¹³C values in bacterioplankton in reef bottom water at LJT and SB. Bacteria respond quickly when exposed to changing resources in the vicinity of the reef bottom. Enhanced bacterioplankton production in reef bottom waters, cavity waters, and coral mucus point to the reef bottom as the source of inorganic nutrients and reactive DOM (Van Duyl and Gast 2001; Scheffers et al. 2005). Sponges and bacteria may compete for the released DOM. However, the δ¹³C reef signal of bacterioplankton (−17.9 to −15.4‰) was higher than that of most examined sponges (−20.8 to −17.2‰) suggesting that sponges and bacterioplankton may not fully depend on the same source of reef-derived DOM. Sponges may exploit a wider size range of the operationally defined DOM fraction than bacterioplankton (De Goeij et al. 2008a).

Benthic primary producers such as corals and benthic macroalgae have been reported to release reactive DOM (e.g., Crossland 1983, 1987; Wild et al. 2004, 2010; Haas et al. 2010; Naumann et al. 2010). The δ¹³C values of the benthic substrates (coral mucus of two dominant coral species and crustose coralline algae) were on average higher in δ¹³C than the SPM and open water bacterioplankton and were more in range of the sponge stable isotope signals. The δ¹⁵N values of reef-derived substrates with values 3–4‰ lower than those of sponges on average suggest a direct trophic link (one trophic level distance). The lower δ¹⁵N values of reef substrates versus open water substrates may be due to enhanced N₂ fixation by the reef benthos (Davey et al. 2008; Lesser et al. 2007) compared with N₂ fixation by microorganisms in open waters. Discharge from land or pollution may counteract this effect by introducing organic and inorganic N enriched in ¹⁵N. This may partly explain the variations in δ¹⁵N in mucus, coralline algae, and sponges between different stations.

The range of δ¹³C_org in crustose coralline algae (CCA) of −25.2 to −12.1‰ was unexpectedly large, possibly due to the unique ontogeny of CCA. Younger portions of the CCA may have lower δ¹³C_org values than older portions possibly because rapid photosynthesis in younger parts depends more on respired CO₂ than photosynthesis in older parts (Lee and Carpenter 2001). Anyway, the lower range of δ¹³C_org values of CCA was within 2‰ of our sponges. Moreover, the δ¹⁵N of CCA (1.3–4.0‰) make it a likely food source for the majority of cavity sponges with 3–4‰ higher δ¹⁵N values than the CCA. Little is known of exudation of organic matter by CCA apart from the releases of allelochemicals (e.g., Kim et al. 2004). Total DOM release by CCA has not been determined as far as we know, but their productivity equals that of fleshy macroalgae and turf algae on reefs (Chrisholm 2003). Reported δ¹³C values of −18.7 to −16.8‰ for Dictyota sp.,−19.3‰ for Halimeda sp. (Raz-Guzman Macbeth and De la Lanza Espina 1991; Lepoint et al. 2000), and δ¹⁵N values of 0.5–3‰ of macroalgae on coral reefs (Yamamuro et al. 1995; France et al. 1998) fall in the same range as CCA (δ¹³C_org −25.2 to −12.1‰, δ¹⁵N 1.3–4‰). Therefore, DOM released from these brown and green macroalgae may have also contributed to the isotope signal in sponges. Trophic transfers of organic matter derived from benthic macroalgae and mangroves, to sponges have been reported before (Behringer and Butler IV 2006; Granek et al. 2009) and appear to be important in the nutrition of sponges.

Unlike CCA, coral mucus has already been described as an important food source on coral reefs (Wild et al. 2004, 2010). About 56–80% of coral mucus dissolves in sea water (Crossland et al. 1980; Wild et al. 2004) and may be a suitable source of DOM for cavity sponges. The δ¹³C of the mucus samples of Montastraea annularis and Madracis mirabilis (range −17.9 to −14.2‰) is higher than that of most cavity sponges, implying that sponges do not feed exclusively on mucus or mucus-derived DOM. Coral-derived organic matter is a reactive substrate for bacterioplankton growth (Ferrier-Pagès et al. 2000) and may have contributed to the δ¹³C reef signal of bacterioplankton at LJT (−15.4‰). The average δ¹⁵N of mucus (1.9‰) and that of cavity sponges (4.6‰) are consistent with mucus/mucus-derived DOM as a food source for most cavity sponges.

It is evident that individually, neither phytoplankton, bacterioplankton, CCA (benthic macroalgae) nor coral mucus can account for the sponge dual isotope signatures. The isotope mixing model analysis showed that cavity sponges incorporate from half to three quarters of their organic matter from mucus and CCA (benthic macroalgae) with mucus as the dominant source of reef-derived organic matter (up to 66% of the diet). It appears that with decreasing coral cover the contribution of coral mucus to the diet of sponges decreases and shifts to a larger contribution of CCA (benthic macroalgae) and phytoplankton. At station CT with a lower coral cover than at the other reef stations, mucus only contributed 17% (mode) to the diet of sponges while the bulk food was provided by CCA including other benthic macroalgae (31%) and small phytoplankton (34%, GFF fraction). This was different at B1, where coral cover on the slope is relatively high (Van Duyl 1985; Bak and Nieuwland 1995) and the sponges reflect a diet of mainly mucus (60%, mode) with 13% CCA. This suggests that the sponge community is opportunistic and consumes OM according to availability irrespective of the DOM source. This does not imply that all examined sponge species at a particular reef site have similar diets. Significant differences in stable isotope values of different sponge species already suggest distinct diets. This is further corroborated with our FA profiles of sponges at B1.

The overall similarity in FA composition pattern of six examined sponge species at B1 was low. The three groups within these six sponge species (based on significantly different FA compositions) also had different diets according to the isotope mixing model analysis, implying differences in the proportional use of mucus, benthic algae (including CCA), and phytoplankton-derived DOM. This suggests that there is trophic niche segregation among sponges which may be an important factor facilitating co-existence of different sponge species (Thurber 2007). Furthermore, the differences in diet may to some extent be reflected in the FA compositions of sponge groups suggesting that the selected food resources may indeed form part of the diet of sponges.

The fatty acid profiles of our coral mucus and CCA sources resemble those reported for coral tissue and CCA (e.g., Latyshev et al. 1991; Viso and Marty 1993; Papina et al. 2003; Bachok et al. 2006). By assimilating these substrates, distinct FAs may conservatively be transferred to the consumer (Dalsgaard et al. 2003). Although many dominant FAs such as 14:0, 16:0, and 18:0 (Table 2) are common to many organisms, some FAs have been identified as potential tracer of food source in sponges. For this study area specifically, for example, De Goeij et al. (2008b) conclude from isotope tracer experiments that the dominant FA 20:4ω6 found in the sponge Halisarca caerulea has an exogenous source. Interestingly, 20:4ω6 is found dominant in all 6 sponge species examined and it is also dominant in CCA and M. mirabilis mucus. The high cover of CCA in cavities (30% of the hard bottom surface in cavities, Scheffers et al. 2004), its close proximity to cavity sponges and the fact that CCA was rich in 20:4ω6, may have contributed to the 20:4ω6 content in sponges. In sponge groups 2 and 3, this FA was the second most abundant (>10% of total FAs) and the diet of these sponge groups consisted for 19–22% (mode) of CCA (including other macroalgae). In sponge group 1, the predominantly mucus feeding group, 20:4ω6 was the third most abundant FA with a lower relative abundance than in the other groups (<10%). This coincided with a lower contribution of CCA in their diet (10% mode). Trophic transfer of this FA may be directly linked to the consumption of CCA as part of macroalgal-derived organic matter.

Phytanic acid, which can be considered as a sponge biomarker (De Goeij et al. 2008b) was the second most abundant FA in group 1. For its synthesis, degradation products of chlorophyll a are required, possibly delivered to the sponge by sponge associated phototrophic microbes, considering the relatively high amount of the likely bacterial specific FA 16:1ω7c as well as the overall high % of bacteria specific FAs in group 1 (up to 29% compared with up to 10% of total FAs in the other groups, Table 4). Sponge species in group 1 indeed harbor-rich microbial communities (Hill et al. 2005; Erwin and Thacker 2007). Mutualism between sponges and their associated microorganisms may have influenced the diet of group 1 compared with groups 2 and 3. Weisz et al. (2007) show that sponges with high versus low abundances of associated microbes may have distinct diets. In line, we show that the diet of sponges (based on stable isotopes as well as FAs) varies with abundance of bacteria specific FAs. Interestingly, sponges with a relatively high abundance of associated microbes (group 1) appear to be more dependent on reef-derived food than other sponges.

The FA 20:5ω3, a dominant FA in (benthic) diatoms and the mucus of corals, particularly in mucus of M. annularis was most abundant in S. ruetzleri (group 3). The SIAR model analysis showed that the contribution of phytoplankton-derived food was highest in this sponge (mean 49% and mode 57%, both plankton size fractions together), which may suggest that it feeds on diatoms or diatom-derived OM rich in 20:5ω3. The other sponge groups (1 and 2) may obtain 20:5ω3 predominantly by consuming mucus considering the higher contribution of mucus and lower plankton-derived food in the diet of these groups than in the diet of S. ruetzleri (group 3). Diatom-derived OM as well as mucus may have contributed to the abundance of 20:5ω3 in sponges.

Considering the congruencies between the FA compositions and the dual stable isotope signals in the trophic transfer and relations between sources and consumers, it was not surprising that the matrices (based on Euclidean distances) of the reef sources and consumers of both approaches were significantly correlated. Both methods apparently lead to comparable results with FA composition and biomarkers identifying the food items of consumers, and evidencing trophic transfer and with dual stable isotope analyses estimating the contribution of the different sources to the diet of consumers. Results of both methods strongly support a trophic transfer from zooxanthellate corals and CCA to cavity sponges. The quantitative contribution of CCA to the diet of sponges remains unresolved, because its dual isotope signal overlaps with that of other benthic macroalgae.

Conclusion

Results unambiguously point to the reef benthos as the main source of organic matter for encrusting cavity sponges on coral reefs. The contribution of open water-derived organic matter as food for the cavity sponge community was usually less than 50%. Food sources for sponges on the reef comprise DOM derived from coral mucus and benthic macroalgae (CCA). The prominent presence of a characteristic fatty acid of coral mucus and CCA, 20:4ω6 in sponges further confirms this trophic transfer. These findings have implications for our understanding of organic matter turnover on reefs. Cryptic sponges apparently sequester and assimilate mainly DOM produced within the reef system. De Goeij et al. (2008b, 2009) found that the cavity sponge Halisarca caerulea converts assimilated DOM in sponge biomass and detrital material. Combining this with the knowledge that (1) the cover of cavity sponges is high on fore-reef slopes (Scheffers et al. 2004), (2) DOM assimilation by cavity sponges is high (De Goeij et al. 2008a), and (3) most of the OM assimilated by sponges is reef-derived (this study), we argue that cryptic sponges play a key role in conserving reef-produced DOM for the reef system by converting it into POM. Whether the “cryptic” sponge link in the coral reef food web is favorable for the coral reef health status remains to be investigated.