Marine Pollution Bulletin 62 (2011) 1140–1146 Contents lists available at ScienceDirect Marine Pollution Bulletin journal homepage: www.elsevier.com/locate/marpolbul Baseline Sponges and sediments as monitoring tools of metal contamination in the eastern coast of the Red Sea, Saudi Arabia Ke Pan, On On Lee, Pei-Yuan Qian, Wen-Xiong Wang ⇑ Division of Life Science, The Hong Kong University of Science and Technology (HKUST), Clear Water Bay, Kowloon, Hong Kong a r t i c l e i n f o Keywords: Sediments Sponges Red Sea Metals Saudi Arabia a b s t r a c t Sediments and sponges were collected from various locations along the eastern coast of the Red Sea, the Kingdom of Saudi Arabia. Total concentrations of Cd, Zn, Ag, Cu, Pb, As and Hg in the sediments were measured. Metal contamination was not significant in most of the studied sites and only one site was moderately polluted by Zn, Cu, and Pb. Sponges accumulated specific metals readily even though the metal exposure was low in the ambient environment. Contrasting interspecies differences in metal accumulation patterns were observed among the nine collected species of sponges. Significant positive correlations were found between the metal concentrations in the two species of sponges collected from the same sites. The strong ability to accumulate specific metals and the diversity of sponges that live in the Red Sea coastal areas make them a promising biomonitor of metal contamination in the areas. Ó 2011 Elsevier Ltd. All rights reserved. Coastal areas are often considered as receptacles for pollutants from industrial and urban activities. Overexploitation in modern society has led to elevated inputs of anthropogenic contaminants into coastal and estuarine areas which are vulnerable to human activities (Peters et al., 1997; Lewis and Devereux, 2009). Metals are one of the toxic pollutants of great concern because of their potential detrimental effects on aquatic ecosystems (Grimalt et al., 2001; Prouty et al., 2010). Meanwhile, metals are readily accumulated by aquatic organisms and subsequently transferred along food chains, ultimately posing a risk to human health through seafood consumption (Wang, 2002; Gerstenberger et al., 2010). The Red Sea is famous for its unique tropical coral reef, mangrove, and seagrass ecosystems (Odum and Odum, 1955; Price et al., 1998; Ashworth et al., 2006). The coastline of the Kingdom of Saudi Arabia stretches for about 1840 km and accounts for 79% of the eastern coast of the Red Sea. This area provides various habitats for diverse communities of corals and sponges. As one of the largest countries bordering the Red Sea, Saudi Arabia has undergone a rapid transformation into a modern industrial country (Badr et al., 2009). As a result, a significant part of the coast has been subjected to extensive exploitation, and metal pollution is fast becoming a threat to the coastal environments. Incidents of damaged oil wells, oil pipeline leaks, and domestic sewage from coastal cities are contributing significantly to the coastal pollution (Al-Thukair et al., 2007). Kadi (2009) showed that soils in the urban areas of Jeddah—a Saudi Arabian city located on the coast of the Red Sea—have been polluted by Zn and Pb found in traffic road dust. ⇑ Corresponding author. Tel.: +852 23587346; fax: +852 23581559. E-mail address: [email protected] (W.-X. Wang). 0025-326X/$ - see front matter Ó 2011 Elsevier Ltd. All rights reserved. doi:10.1016/j.marpolbul.2011.02.043 The highest concentration found in roadside soils was 105 mg kg1 for Pb and up to 450 mg kg1 for Zn. Recent records from sediment cores also revealed that Jeddah was the most polluted area along the eastern coast, where over 3 mg kg1 of Cd and 100 mg kg1 of Pb was detected in the sediments and increasing metal concentrations were observed in the upper layer of the cores (Badr et al., 2009). To date, limited data exist for an accurate assessment of the metal pollution of coastal environments in Saudi Arabia, especially for the areas located near the coral reef and mangrove ecosystems. Field surveys of metal pollution must be conducted before appropriate policies can be made to protect the vulnerable coastal environments. Investigating the concentration and distribution of metals in sediments is an effective way to understand metal contamination in marine ecosystems because sediments are a reservoir for metals and can provide historical input records of metals (Hatji et al., 2002; Bell et al., 1997). Sediments are preferred as a monitoring tool because they generally show less variation over a short period of time than dissolved metals in overlying water columns (Atkinson et al., 2007). Although the total metal concentration is a valuable piece of information and tells us about the integrated accumulation of metals in sediments over a certain period of time, it is however inadequate to predict the mobility, bioavailability and potential toxicity of metals in hazard assessment. The fates of metals in sediments are greatly dependent on their physicochemical speciation and environmental conditions such as redox, pH, salinity, and temperature (Yu et al., 2010). Sediment geochemistry can significantly control metal bioavailability. Previous studies have shown that labile metals (such as metals bound in exchangeable phase) are more bioavailable than those bound with 1141 K. Pan et al. / Marine Pollution Bulletin 62 (2011) 1140–1146 the sulfide species or the reducible phase (Chen and Mayer, 1999; Stecko and Bendell-Young, 2000; Fan et al., 2002a). Therefore, measurement of geochemical species of metals is a necessary supplement to the environmental assessment of contaminated sediments. Knowing the characteristics of either seawater or sediments is not enough to predict unequivocally the bioavailability of metals. Benthic species such as bivalves, seagrasses, macroalgae and sponges have been utilized as biomonitors to indicate metal availability in marine environments (Roberts et al., 2008). Sponges— animals of the phylum Porifera—have been recommended as a suitable biomonitor species for metal pollution because of their strong ability to concentrate metals in their tissues (Berthet et al., 2005; Patel et al., 1985; Johnston and Clark, 2007; Cebrian et al., 2007). They are one of the major benthic groups with a prominent role in many coral reef communities around the world, including in the Red Sea ecosystems (Ilan et al., 2004). Sponges can not only absorb dissolved metals but also take up particulate metals by filtrating suspended matters. Meanwhile, sponges themselves act as biogenic habitats that support abundant and highly diverse epifaunal and infaunal microbial communities which make up significant biomass of their host. To date, the number of studies employing sponges as biomonitors for metal contamination in the Red Sea is still limited despite their huge potential. The aims of this study were therefore to perform a baseline investigation of the state of metal pollution along the eastern coast of the Red Sea by measuring the total metal concentrations and geochemical speciation of metals in the sediments, and to evaluate the use of sponges as biomonitors for metal contamination in the area. Sediments and sponges were collected from nine sites located along the eastern coast of the Red Sea in Saudi Arabia in April 2009. Both pristine areas and areas affected by human activities were included. The location of each site is shown in Fig. 1 and Table 1. The inner bay, marine station, treatment plant outfall, fish market and its entrance area in Obhor Sharm were considered as areas affected by human activities, whereas the bay outlet, the mangrove site, Abu Madafi reef and the non-reef reference site in Obhor Sharm were considered as pristine sites away from human disturbance. Abu Madafi Reef is one of the most well-preserved Fig. 1. Sampling sites along the eastern coast of the Red Sea, the Kingdom of Saudi Arabia. Abbreviations are defined in Table 1. Table 1 Location of the sampling sites along the coast of the Red Sea, the Kingdom of Saudi Arabia. Site Site name Abbreviation Location S1 S2 S3 S4 S5 S6 S7 S8 S9 Obhor Sharm (outlet) Marine station Obhor Sharm (inner) Abu Madafi reef Non-reef reference site Mangrove site Treatment plant outfall Entrance of fish market Fish market OSO MSN OSI AMR NRR MGR TRO EFM FMT 210 42.323N 210 42.642N 210 45.687N 220 03.656N 220 10.178N 220 13.139N 210 19.400N 210 29.622N 210 29.260N 390 04.230E 390 05.685E 390 08.061E 380 46.074E 380 57.398E 390 03.069E 390 05.887E 390 09.617E 390 10.540E coral reefs in the Red Sea; the non-reef reference site was selected for comparisons. The top 3–5 cm of surface sediments and sponge samples were collected by a scuba diver or a snorkeler at each site (n = 3), depending on the water depth (1–30 m). Sediment samples were stored at 4 °C, while sponge samples were stored at 20 °C prior to metal analysis. Separate specimens of each sample were preserved in 70% ethanol for species identification. Upon transportation back to the laboratory, sediments were freeze-dried and large stones and debris were removed. The fine fraction of sediment (<63 lm) was separated by passing it through a polyethylene sieve. The <63 lm fraction was used because this fraction proved to be the most chemically active sediment phase, consisting primarily of clay and silt particulates (Förstner, 1987). The sponge samples were carefully rinsed with 0.22 lm filtered seawater to clean off any foreign material such as loosely-bound sediments and epibionts, and were later freeze-dried. Homogenized samples were made by cutting the sponges into small pieces followed by grounding with a mortar and pestle. To measure the total metal contents in the sediment samples, approximately 0.2 g of the representative sample was placed into a Teflon reactor, and then digested in a solution consisting of 2 mL of 70% Suprapur nitric acid (HNO3), 6 mL of 37% hydrochloride acid (HCl) and 100 lL of hydrofluoric acid (HF) at a temperature of 180 °C for 15 min in a microwave digestion system (BERGHOFÒ Speedwave MWS-3, Germany). Approximately 0.2 g of sponge samples were digested with 3 mL of 70% nitric acid and 1 mL of H2O2 as described in previous studies (Cebrian et al., 2007). The digested samples were measured for Cd, Zn, Ag, Cu, As and Pb using an atomic absorption spectrometer (AAS, PerkinElmer, AAnalyst 800) or an inductively coupled plasma optical emission spectrometer (ICP-OES, PerkinElmer, Optima 7000 DV). Total Hg concentrations were measured by employing QuickTrace™ M8000 Cold Vapor Atomic Fluorescence mercury analyzer (USA). Cd, Zn, Cu, Ag, As and Hg were analyzed in this study because they are common metal contaminants and reports of Ag and Hg values for the Red Sea coasts are rare. The analytical accuracy was checked by concurrent digestion and comparing measurements with NIST reference materials: estuarine sediment (SRM 1646a) and oyster (SRM 1566b). The recoveries were all within 90–110% of the reference values and the data were not corrected for recovery. Metal speciation of Cd, Zn, Pb, Ag, and Cu was only measured in the sand-silt texture samples collected from the inner bay, fish market and its entrance area in Obhor Sharm (S3, S8 and S9). Metal speciation in the sediments was quantified using the sequential extraction method described in previous studies (Tessier et al., 1979; Fan et al., 2002b). The five operationally defined geochemical fractions were as follows: (1) Phase 1 (exchangeable fraction): extracted by placing in 1 M MgCl2 at pH = 7 for 1 h. 1142 K. Pan et al. / Marine Pollution Bulletin 62 (2011) 1140–1146 (2) Phase 2 (carbonate bound fraction): extracted by placing in 1 M NaOAc at pH = 5 for 5 h. (3) Phase 3 (Fe or Mn oxides bound fraction): extracted by placing in 0.04 M NH2OH-HCl in 25% HOAc for 6 h at 96 °C. (4) Phase 4 (organic matter bound fraction): extracted by placing in 0.02 M HNO3 and 30% H2O2 (adjusted to pH = 2 with HNO3) at 85 °C for 2 h, followed by the addition of 30% H2O2 for another 3 h. After cooling, 3.2 M NH4OAc in 20% HNO3 was added and the mixture was continuously agitated for 30 min. (5) Phase 5 (residual phase): extracted by placing in concentrated HNO3 (70%) and HClO4 (60%) and heated to dryness. The remaining material was further digested in 10 ml of 2% HNO3 at 70 °C for 1 h. Following each extraction in steps (1)–(4), the mixtures were centrifuged at 4000 rpm for 30 min at room temperature and the supernatants were heated to dryness in an aluminum heating block at 140 °C. The remaining material was further digested in 10 mL of 2% HNO3 at 70 °C for 1 h. Recoveries of the metals were checked by extracting the metals from NIST 1646a sediments using the same procedure above. Metal concentrations of the extracted solution were measured using the same AAS from PerkinElmer as described above. Statistical analysis was performed using the SPSSÒ 16.0 software package. All the data were tested for homogeneity of variance and normal distribution before the statistical analysis. Statistically significant differences among the sites/sponges were detected through one-way analysis of variance using a least-significantdifference post hoc test (p < 0.05). Differences in metal concentration in sediments were assessed by one-way ANOVA. Differences in metal accumulation between Hyrtios erectus and Stylissa carteri were analyzed by two-way ANOVA. Regression analysis of the metal concentrations in H. erectus and S. carteri was performed using the software package SigmaPlot 9.0. The total metal concentrations in the sediments collected from nine sampling sites are summarized in Table 2. Huge differences (up to 20 times) in metal concentrations were observed between the least and the most contaminated site, showing the contrasting variation in mineralogical composition or the different levels of anthropogenic input at each site. The concentration range for each metal was: 0.024–0.24 mg kg1 for Cd, 5.3–179.0 mg kg1 for Zn, 0.05–0.95 mg kg1 for Ag, 0.45–82.99 mg kg1 for Cu, 0.46–69.38 mg kg1 for Pb, 1.4–21.0 mg kg1 for As, and 3.0–132.8 lg kg1 for Hg. A relatively higher metal concentration was found in inner Obhor Sharm bay (S3) and the adjacent areas of the fish market (S8 and S9), due possibly to the result of high shipping activities in the areas. The fish market (S9) was the most polluted site out of all nine sites sampled in terms of the total metal concentrations of Cd, Zn, Ag, Cu, and Pb (p < 0.01). The pristine sites, the bay outlet of Obhor Sharm, the mangrove site, Abu Madafi reef and the non-reef reference site, accumulated much less metals in the sediments. The sediments deposited in the Red Sea coastal areas can be classified into three principle categories: biogenous, terrigenous and authigenic. Biogenous sediments are mainly composed of eroded coral reefs and various calcareous remains from marine organisms (Basaham, 2009). High carbonate contents are generally associated with low concentrations of trace metals (Rubio et al., 2000). The low metal contents found in S4 may be due to the higher proportions of biogenic carbonate and aragonite in the samples that originated from the coral areas. When compared to numerical sediment quality guidelines (SQGs, Long et al., 1998; MacDonald et al., 2000), the concentrations of Zn, Cu, and Pb in the fish market (S9) exceeded the threshold effect concentration (TEC, Table 2), but barely reached or exceeded the median effect concentration (MEC). The concentration of arsenic (As) in the mangrove site exceeded the MEC, indicating possible As contamination in the area. The concentrations of metals in other sites were far below the TEC or the average crust concentration. Generally, the metal concentrations of most sites in our study were low, indicating that the local environment was less affected by metal contamination than other industrialized coastal areas. Metals were sequentially extracted from select sediment samples, all of which had a sand-silt texture, from Site 3, Site 8, and Site 9 (Fig. 2). The portion of metals distributed in the exchangeable phase, an indication of the anthropogenic origin and of high potential bioavailability, were found to be low (<10%) for all metals and for all sites. Fe or Mn oxides were important binding sites for Cd, Zn, and Pb in the sediments from the three sites (30–60%). The two oxides are important metal scavengers in sediments through various mechanisms including coprecipitation, adsorption, surface complex formation, ion exchange and penetration of the lattice (Filgueiras et al., 2002). Cu was found to be mainly bound to the organic fraction in the samples collected from the fish market (S9). This may be due to the high input of organic matters from the fish market itself. Cu can easily form complexes with organic matter due to the high stability constant of the organic–Cu complex. The close association of Cu with the organic phase indicated the anthropogenic origin of this metal (Fan et al., 2002b). A significant portion (30–90%) of Ag, Cu, and Zn was also distributed in the residue fraction, indicating their principally non-anthropogenic origin. Although the Ag concentration in Site 9 was high, it Table 2 Metal concentration in the Red Sea sediment samples (mean ± SD, mg kg1, except lg kg1 for Hg, dry weight basis, n = 3). Results are compared with crust metal background concentrations and numerical sediment quality guidelines. Site Cd Zn Ag Cu Pb As Hg S1 S2 S3 S4 S5 S6 S7 S8 S9 0.035 ± 0.007 0.024 ± 0.005 0.049 ± 0.009 0.027 ± 0.004 0.027 ± 0.002 0.029 ± 0.003 0.080 ± 0.021 0.110 ± 0.024 0.238 ± 0.024 10.0 ± 0.6 9.0 ± 0.6 45.5 ± 1.5 5.3 ± 0.4 4.9 ± 0.9 13.8 ± 0.4 46.6 ± 1.4 39.3 ± 1.3 179.0 ± 28.8 0.050 ± 0.003 0.067 ± 0.012 0.060 ± 0.002 0.069 ± 0.001 0.071 ± 0.001 0.068 ± 0.004 0.138 ± 0.002 0.387 ± 0.014 0.945 ± 0.054 0.69 ± 0.09 1.44 ± 0.09 18.48 ± 0.45 0.65 ± 0.20 0.45 ± 0.12 5.99 ± 0.23 8.69 ± 3.55 21.38 ± 0.66 82.99 ± 6.04 0.93 ± 0.15 2.74 ± 0.29 5.79 ± 0.18 0.49 ± 0.06 0.46 ± 0.06 1.52 ± 0.44 1.48 ± 0.21 2.72 ± 0.37 69.38 ± 7.55 1.5 ± 0.6 4.2 ± 0.3 6.3 ± 0.9 1.4 ± 0.8 2.1 ± 0.7 21.0 ± 7.7 2.2 ± 0.9 5.9 ± 1.1 2.5 ± 0.9 3.7 ± 0.9 40.4 ± 9.4 9.8 ± 0.7 3.2 ± 0.3 3.0 ± 0.3 4.6 ± 0.8 18.6 ± 4.2 50.4 ± 7.3 132.8 ± 20.0 0.098 0.99 3.0 5.0 71 120 290 460 0.05 1.6 1.9 2.2 25 32 91 150 20 36 83 130 1.5 9.8 21.4 33 20 180 640 1100 Obhor Sharm (outlet) Marine station Obhor Sharm (inner) Abu Madafi reef Non-reef reference site Mangrove site Treatment plant outfall Entrance of fish market Fish market Crust concentrationa SQG TEC SQG MEC SQG PEC TEC, threshold effect concentration; MEC, median effect concentration; PEC, probable effect concentration; SQG, sediments quality guidelines. a (Taylor and Mclennan, 1995; Hare et al., 2010). 1143 K. Pan et al. / Marine Pollution Bulletin 62 (2011) 1140–1146 100 Cd 80 Exchangeable Carbonate 60 Fe & Mn oxides 40 Organic matters Residue 20 0 S3 S8 S9 100 % Extracted Ag Pb 80 60 40 20 0 S3 S8 S9 S3 S8 S9 S3 S8 S9 100 Zn Cu 80 60 40 20 0 S3 S8 S9 Site Site Fig. 2. Relative distribution of metals in different geochemical species and in sediments. appeared that 95% of the Ag was bound to the residue fraction. Metals distributed in the residual phase are generally assumed to have low mobility and bioavailability. Overall, the results of sequential extraction further confirmed that the anthropogenic in- put of metals was not significant in the studied areas except in the fish market. A total of nine species of sponges was collected from S1, S2, S4, S5 and S6 as listed in Table 3. The pattern of the bioaccumulation of Table 3 Metal concentration in sponge samples (mean ± SD, mg kg1, except lg kg1 for Hg, dry weight basis, n = 3). Sponge species Sampling location Cd Zn Ag Cu Pb As Hg Hyrtios erectus S1 S2 S4 S5 S5 S1 S2 S4 S5 S1 S2 S1 S2 S2 S5 S6 S6 0.19 ± 0.05 0.23 ± 0.09 0.33 ± 0.03 0.56 ± 0.05 0.43 ± 0.05 0.17 ± 0.02 0.17 ± 0.07 0.22 ± 0.07 0.14 ± 0.05 0.75 ± 0.04 0.27 ± 0.03 0.16 ± 0.08 0.49 ± 0.11 0.23 ± 0.04 0.03 ± 0.02 0.69 ± 0.11 21.5 ± 5.10 24.3 ± 0.7 34.3 ± 3.2 7.7 ± 1.4 96.0 ± 15.9 27.1 ± 1.6 13.9 ± 1.3 18.0 ± 1.5 5.6 ± 0.6 47.5 ± 8.6 179.6 ± 6.0 200.7 ± 5.0 14.2 ± 1.2 19.5 ± 2.0 55.1 ± 6.3 86.7 ± 14.0 43.6 ± 5.5 154 ± 19.3 0.07 ± 0.02 0.04 ± 0.01 0.06 ± 0.01 0.22 ± 0.02 0.07 ± 0.01 0.05 ± 0.01 0.06 ± 0.01 0.06 ± 0.01 0.05 ± 0.01 0.06 ± 0.01 0.05 ± 0.01 0.06 ± 0.02 0.07 ± 0.02 0.08 ± 0.01 0.03 ± 0.01 0.09 ± 0.01 0.01 ± 0.01 23.9 ± 2.7 19.3 ± 4.4 18.4 ± 1.0 25.3 ± 1.3 6.7 ± 1.6 21.2 ± 1.1 16.3 ± 1.2 11.2 ± 0.9 22.5 ± 4.8 9.1 ± 0.7 15.5 ± 1.2 4.5 ± 1.1 6.7 ± 2.1 22.4 ± 2.1 8.3 ± 0.8 22.7 ± 2.3 8.0 ± 1.5 0.44 ± 0.02 0.29 ± 0.02 0.43 ± 0.06 0.35 ± 0.01 0.44 ± 016 0.56 ± 0.07 0.24 ± 0.02 0.36 ± 0.04 0.37 ± 0.23 0.73 ± 0.05 0.88 ± 0.10 0.28 ± 0.05 0.27 ± 0.04 2.07 ± 0.23 0.43 ± 0.01 1.79 ± 0.63 0.73 ± 0.22 23.5 ± 0.6 63.9 ± 7.0 15.0 ± 1.1 48.8 ± 4.9 2.3 ± 0.5 10.7 ± 4.8 8.1 ± 3.5 8.0 ± 3.8 7.5 ± 1.4 13.7 ± 2.2 22.1 ± 2.4 20.7 ± 2.1 42.2 ± 3.9 8.0 ± 2.2 11.2 ± 11.8 106.1 ± 6.5 15.0 ± 3.0 361 ± 17.9 360 ± 31.2 164 ± 20.7 384 ± 55.9 60.2 ± 7.0 74.6 ± 8.5 63.0 ± 10.1 55.5 ± 5.3 120 ± 4.4 108 ± 10.2 160 ± 7.0 231 ± 7.0 274 ± 20.2 29.8 ± 1.5 124 ± 3.5 266 ± 28.0 16.2 ± 0.6 Hyrtios sp. Stylissa carteri Chalinula sp. Xestospongia testudinaria Phyllospongia papyracea Amphimedon sp. Spongia arabica Spheciospongia inconstans 1144 K. Pan et al. / Marine Pollution Bulletin 62 (2011) 1140–1146 metals varied among different species. Although the metal concentrations in the ambient environments were low, significant accumulation of Cd, Zn, Cu, and Hg was found in the sponges. In fact the concentrations of metals in these sponges were several to hundreds of times higher than those in the sediments reported in previous studies (Patel et al., 1985; Philp, 1999; Cebrian et al., 2007). For example, the concentration of Zn in Chalinula sp. was found to be 180–200 lg g1, which was higher than the reported values (100 lg g1) in some bivalve species such as clams and green mussels (Blackmore, 1998). The strong ability to accumulate metals in sponges may be attributed to their high filtration rates of seawater (Hansen et al., 1995; Turon et al., 1997). For example, Riisgärd et al. (1993) reported that the maximum pumping rate for Halichondria panacea and Haliclona urceolus can be up to 86 L day1 g1. Both metals dissolved in water and adsorbed on particles can be accumulated by sponges because sponges can retain up to 80% of suspended particles including the free-living bacteria particles and the size of the particles retained can be as small as 0.028 lm (Reiswig, 1971; Milanese et al., 2003). In contrast, the concentrations of Ag and Pb in sponges were found to be comparable to those in sediments, suggesting that the enrichment factors of Ag and Pb were lower than those of the other metals. Indeed, Cebrian et al. (2007) observed that sponges contained a low Pb concentration even in an environment highly contaminated by Pb, indicating that Pb was less bioaccumulated by sponges than the other metals. Distinct metal concentrations were found for different sponge species collected from the same sites. For example, H. erectus generally had higher metal concentrations of Zn, As, Hg than S. carteri. A typical concentration of around 300 ng g1 Hg was found for H. erectus, which was higher than that for S. carteri (p < 0.01). Most sponge species generally had relatively low Zn concentrations (<50 lg g1 except for S. inconstans), but Chalinula sp. accumulated up to 200 lg g1 of Zn which was several times higher than the levels accumulated by the other sponges sampled from the same sites (p < 0.01). A high concentration of Cd (21.5 lg g1) was found in S. inconstans. Interestingly, Zn was also highly accumulated in this sponge (154 lg g1). The enrichment factor of Cd (calculated as the ratio of metal concentration to that of sediments) for S. inconstans was 700, which was about 70 times that of other sponge species. The background level of dissolved Cd in the pristine sites was reported to be 20–40 ng L1 (Hall et al., 1996; Jensen and BroRasmussen, 1992). The bioconcentration factor of Cd for S. inconstans reached 106 L kg1, indicating the sponge’s special preference for Cd. Another species of sponge S. arabica accumulated relatively high concentrations of As and Hg (106 lg g1 and 265 ng g1, respectively). However, the reason why the sponges accumulated such high concentrations of specific metals remains unclear. The interspecies variations in metal concentrations observed in the sponges in this study are not uncommon. Patel et al. (1985) measured the concentrations of 17 trace metals in two species of sponges, Spirastrella scupidifera and Prostylyssa foetida, and found that the former accumulated significantly higher Ni (400– 2250 lg g1) than the latter (7–15 lg g1). It was possible that the interspecies difference may reflect the dissimilarity of pumping physiology in various species, such as the volume of choanocyte chambers (Cebrian et al., 2007). Other studies attributed the variation to the influences of environmental conditions such as pH, salinity and geographical features (Philp, 1999; Bargagli et al., 1996). Apart from the above factors, it is possible that the array of microorganisms attached to the sponges may also contribute importantly to the metal accumulation, an area remains rather unexplored in previous studies. In this study, there was actually contrasting difference in the microbial community structure for H. erectus and S. carteri. Proteobacteria, Firmicutes and Chloroflexi altogether constitute up to 52–73% of the community attached to H. erectus, while Proteobacteria was the major phylum in S. carteri and made up 60% of the community (Lee et al., 2010). Such specific difference in the microbial community structure may also be responsible for the different accumulation patterns of Zn, As, and Hg between the two species. Sponges are ecologically diverse hotspots of unexplored microbial communities. Bacteria, unicellular algae, cyanobacteria, dinoflagellates, zoochlorellae and domain Archaea have been found to attach themselves to the sponges in the extra- and intra-cellular spaces (Lee et al., 2009). The presence of sponge-associated bacteria can have significant impact on the metal concentrations in marine sponges, because they can account for up to 40–50% of a sponge’s biomass (Hentschel et al., 2002; Selvin et al., 2009). On the one hand, bacteria are efficient metal bioaccumulators that either adsorb or absorb metals because of their high surface-volume ratio (Dixon et al., 2006; Chen et al., 2008). It has been shown that the accumulation of metals is also species-specific for bacteria (Vogel and Fisher, 2010). On the other hand, bacteria can facilitate metal uptake in the organisms they are attached to. For example, Sayler et al. (1975) found that mercury concentrations were 200 times greater in tissue fractions of the oyster Crassostrea virginica dosed with the mercury-metabolizing bacteria Pseudomonas compared with oysters not dosed with the bacteria in the control. Therefore, it is reasonable to think that the specific bacterial communities attached to the sponges can affect the interspecies metal accumulation patterns of their hosts. Currently there are about 240 known species of sponge in the Red Sea, with many species uninvestigated (Ilan et al., 2004; Radwan et al., 2010). Because of their abundant resources and strong capacities for metal accumulation, sponges appear to be promising biomonitors for the Red Sea coastal environment. Sponges show a wide distribution in coastal environments, and are available all year round, are abundant in sublittoral areas, and are easy to transplant (Cebrian et al., 2007). They are sedentary benthic invertebrates which means that the accumulated contaminants detected are representative of the ones found in the area. The concentrated metals in sponge tissues allow more simple measurements of metals to be carried out than the critical techniques required for the typical water analysis. Our results show that sponges had species-specific affinities for metals, which suggests that biomonitoring data for a certain contaminant should be compared intraspecifically. Attention should be given to the accumulation strategy when employing sponges as biomonitors. A strong net accumulator is better than a weak one for monitoring programmes. For example, it may be more appropriate to use S. inconstans and Chalinula sp. to monitor Cd and Zn contamination, respectively, because they can accumulate the respective metals readily. Employing multiple species of sponges may generate complementary results. A biomonitor should be able to accumulate a considerable concentration of contaminant in relation to the average contaminant concentration in its ambient environment. Cebrian et al. (2007) found significant positive relationships between the metals accumulated in the sediments and in the sponges found in Mediterranean coasts. Such relationships were not found in our study possibly because only a limited number of sponge samples were available from each sampling site, and the metal exposures among different sites in which sponges were collected were similarly low. However, it is noted that the accumulation of metals in sponges occurs both directly from dissolved metals via water filtration, as well as from particulate metals when food particles are retained by the sponges (Roberts et al., 2008). Metal concentrations in the sediment provide valuable information about metal contamination in the ambient environment but do not supply comparative information about the metals’ bioavailability to sponges. Beside metal concentrations in ambient environments, geographical features such as water currents may also affect the accumulation of metals 1145 K. Pan et al. / Marine Pollution Bulletin 62 (2011) 1140–1146 60 40 y=0.47x+2.0 2 r =0.99 Metal concentration in S.carteri (µg g-1) 45 y=1.4x-13.6 2 r =0.80 30 p <0.05 p <0.01 30 20 15 10 Zn Cu 0 0 0 30 60 90 120 0 0.8 0.20 0.6 0.15 0.4 0.10 0.2 10 20 30 40 0.05 Pb Hg 0.0 0.00 0.0 0.2 0.4 0.6 0.8 0.1 0.2 0.3 0.4 0.5 Metal concentration in H.erectus (µg g-1) Fig. 3. Relationship between the metal concentrations in the sponges H. erectus and S. carteri collected concurrently from four different sites (n = 3). in sponges. Bargagli et al. (1996) suggested that intense upwelling currents were responsible for a high accumulation of cadmium by Antarctic sponges grown in the pristine Antarctic areas. Uncertainties remain about the contribution of dissolved metals and the effects of other geographical factors on the overall metal accumulation in sponges in our study. Interestingly, significant relationships were found between the Zn and Cu accumulated in H. erectus and S. carteri collected from different sites (Fig. 3), implying that there was a positive relationship between the metal concentrations in the sponges and the bioavailability of Zn and Cu at these sites. The results also suggest the feasibility of employing multi-species of sponges in biomonitoring to provide more reliable and consistent results. The metal concentrations in sediments collected from the nine sampling sites were low. 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