# A Comparison of Abundance and Diversity of Epiphytic Microalgal Assemblages on the Leaves of the SeagrassesPosidonia oceanica (L.) and Cymodocea nodosa (Ucria) Asch in Eastern Tunisia

Authors: Lotfi Mabrouk; Mounir Ben Brahim; Asma Hamza; Mabrouka Mahfoudhi; Med Najmeddine Bradai
Journal: Journal of Marine Biology
 (2014)

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## Abstract

We studied spatial patterns in assemblages of epiphytic microalgae on the leaves of two seagrass species with different morphologies and longevity,Cymodocea nodosa and Posidonia oceanica, which cooccur in Chebba in Eastern Tunisia. Epiphyte assemblages were described for each species in summer. Epiphyte microalgal assemblages were more abundant on the leaves of C. nodosa but more diversified on the leaves of P. oceanica. We suggest that the differences in species composition and abundance between those seagrass species may reflect an interaction of timescales of seagrass longevity with timescales of algal reproductive biology. Short-lived C. nodosa was dominated by fast growing species such as the cyanobacteria species Oscillatoria sp., while P. oceanica leaves were colonized by more mature and diversified species such as Prorocentrales. Local environmental conditions (hydrodynamics, light penetration), host characteristics (meadow type, shapes forms of leaves, life span, and growth rate), and grazing effect seem also to be responsible for these dissimilarities in epiphytic microalgae communities.


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## Body

## 1. Introduction

The habitats of marine MagnoliophytaPosidonia andCymodocea are, with the coral, the most important marine ecosystems of the Mediterranean. Their leaves provide substrates suitable for the establishment and growth of a number of micro- and macrocolonizers which form laminates assemblages characterized by high species diversity [1].Previous studies showed that epiphytic community structure is influenced by biotic factors such as leaf age, seasonal cycle of the host, and grazing pressure by herbivores [2–5], as well as by abiotic factors such as light, temperature, nutrients, and water motion [6–8]. The density of the seagrass canopy and shoot size can significantly modify epiphytic biomass, presumably due to effects of light penetration [9, 10], whereas shoot morphology, leaf, and stem ages can influence epiphyte distribution and abundance due to differences in the surface area that is available for epiphyte settlement [11, 12].Epiphytic microalgae include many toxic species [13–16]. Knowledge of the epiphytes and potentially toxic species of microalgae is necessary to assess the influence of those species on fisheries exploitation and human health. Moreover, various studies have documented a good correlation between the abundance of those toxic species in the water column and their abundance on macrophytes [15, 17]. Although a good number of surveys have focused on the epiphytic community in the north basin of the Mediterranean Sea, the south part has received little attention.The purpose of this study is to investigate the diversity and species abundance of leaf epiphytic microalgae onPosidonia oceanica (L.) andCymodocea nodosa (Ucria) Asch in eastern Tunisia where several fish farms have recently been installed. Our aim was to examine the following hypothesis: (1) due to their large leaves, epiphytic microalgae on the leaves ofPosidonia oceanica may be more diverse and more abundant than those onCymodocea nodosaleaves; (2) variation of the phenological parameters of the host plant may explain the pattern of microepiphyte abundance; (3) some potentially toxic species are likely to be found among the epiphytic community on thePosidonia oceanica andCymodocea nodosa leaves.


## 2. Materiel and Methods

### 2.1. Study Area

This study was conducted in the locality of Oued Lafrann (35°15′18′′ N, 11.07′28′′ E) in the region of Chebba (east of Tunisia) where 32 aquaculture cages of sea beam have been recently installed. The climate is semiarid (average precipitation: 350 mm per year) and sunny with strong northerly winds. This area is under consideration as a marine protected area (submitted in Italo-Tunisian project iTunES) because of its biocenotic richness and its distinctive ecosystems especially macrophytes, mainlyCymodocea nodosa, that occur nearPosidonia oceanica bed,Halophila stipulacea, and many macroalgae.Surveying and sampling were conducted during September 2013 by SCUBA diving in two stations about 1 km apart (Figure1):Posidonia oceanica meadow (P) andCymodocea nodosa meadow (C). To reduce habitat variability in the present study, all samples were collected at the same depth of 5 m. Sampling was conducted in the same day, water temperature was 22°C, water salinity was 38.2±0.2 g·L−1 (mean ± SD), and wind speed was about 20 km/h. Because of the proximity of sampling stations, measurements of physicochemical parameters are not carried out.Figure 1
Map of the study area, showing the sampling stations.


## 2.1. Study Area

This study was conducted in the locality of Oued Lafrann (35°15′18′′ N, 11.07′28′′ E) in the region of Chebba (east of Tunisia) where 32 aquaculture cages of sea beam have been recently installed. The climate is semiarid (average precipitation: 350 mm per year) and sunny with strong northerly winds. This area is under consideration as a marine protected area (submitted in Italo-Tunisian project iTunES) because of its biocenotic richness and its distinctive ecosystems especially macrophytes, mainlyCymodocea nodosa, that occur nearPosidonia oceanica bed,Halophila stipulacea, and many macroalgae.Surveying and sampling were conducted during September 2013 by SCUBA diving in two stations about 1 km apart (Figure1):Posidonia oceanica meadow (P) andCymodocea nodosa meadow (C). To reduce habitat variability in the present study, all samples were collected at the same depth of 5 m. Sampling was conducted in the same day, water temperature was 22°C, water salinity was 38.2±0.2 g·L−1 (mean ± SD), and wind speed was about 20 km/h. Because of the proximity of sampling stations, measurements of physicochemical parameters are not carried out.Figure 1
Map of the study area, showing the sampling stations.


## 3. Sampling Treatment

To study the epiphytic microalgae onPosidonia oceanica andCymodocea nodosa leaves, shoots were collected using a metal square quadrat with a 40 cm inner edge. The quadrat was randomly placed over the shoots, which were all carefully collected. At each station, six replicate quadrats were sampled. The shoot density ofP. oceanica andC. nodosa was measured in six replicates of 0.25 m2 and expressed as number of shoots·m−2.In the laboratory, from each quadrate, leaves were removed from 15 shoots in distichous order of insertion and separated into the various categories defined by Giraud [18]. For each shoot, the following leaf traits were scored: (1) total number of standing leaves, (2) total number and (3) length of adult and intermediate leaves, and (4) leaf width. Leaf area index (LAI, m2·m−2) was determined as product of leaf surface area (total leaf length × mean leaf width, cm2·shoot−2) and shoot density.To detach the leaf microepiphytic communities, from each quadrat, leaves were detached from their sheet and weighed to 100 g with an electronic precision balance [19]. The epiphytes were then separated from the weighted leaves by vigorous shaking and washing with filtered seawater. This procedure was repeated several times to ensure that most of the attached organisms were separated. This method was used by previous researchers to remove microepiphytic species [15, 20–23]. The filtered material was then passed through 250 and 100 μm mesh sieves to remove large particles and was fixed with Lugol’s solution and finally preserved in 5% formalin and its volume (V) was noted. All filtered materials were kept in the dark at ambient temperature until their microscopic observation. Settling long glass tubes used for sedimentation procedure were 2 cm wide by 21 cm long and have a base plate that contains a coverslip into which the algae settle. To mix the sample, the bottle was gently tilted back and forth 10 times before pouring. A 50 mL subsample was poured into the settling chamber and left to settle for 24 h. Subsamples were examined in an inverted microscope at medium (×200) magnification by scanning the entire surface of the settling chamber to enumerate epiphytic microalgae [24]. The total number of microalgae individuals (N) contained in 100 g of fresh weightPosidonia (expressed as number of individual per 100 g of fresh weight ofPosidonia (fwm)) is obtained by the following conversion: N=(n×V)/v; with n = number of individuals counted, V = volume of the filtered material, and v = volume of the sedimentation chamber (50 mL). The identified taxa were divided into groups (diatoms, dinoflagellates, and cyanobacteria).


## 4. Data Analysis

Data were tested for normality using the Kolmogorov-Smirnov goodness of fit test and for heterogeneity using Cochran’s C Test and then transformed if necessary [25].Analyses of similarity (ANOSIM) randomization tests (with untransformed data) were used to test for differences in species abundance among sampling stations [26]. If differences were found using ANOSIM, then SIMPER analysis was used for identifying which species primarily accounted for observed differences in epiphytic assemblages between sampling stations. SIMPER generates a ranking of the percent contribution of the species that are most important to the significant differences. These analyses used a matrix composed of Bray-Curtis similarity coefficients generated with log⁡(x+1)-transformed data. The calculations were performed using the statistical software PRIMER 5.0 [27].Univariate indices, species number (S), and diversity (Shannon-Weaver index H′) were calculated for each sampling station. The one-way ANOVA was used to test for overall differences between these indices and the Tukey HSD multiple comparison tests were used in pairwise comparisons between sampling stations. One-way analysis of variance (ANOVA) was used to test the hypothesis that the abundance of each of the most abundant groups varies among sampling stations. Tukey test HSD was employed for a posteriori multiple comparisons of means. The calculations were performed using the statistical software STATISTICA v10 (StatSoft, Inc.).Relationships between epiphytic species abundance and biometric parameters (shoot density, leaf area index, and average length of adult and intermediate leaves) were examined using the RELATE procedure in PRIMER. RELATE is the equivalent of a nonparametric Mantel test [28]; it assesses the degree of correspondence between matrices and, via a randomization test, it provides a measure of statistical significance of the relationship [28]. The matrix of similarities between epiphytic species abundance (based on the Bray-Curtis coefficient from untransformed data) was compared with a matrix of the similarities between biometric parameters (based on Euclidean distance from untransformed data). The significance of any correlation between matrices was assessed with a randomization test.Canonical correspondence analysis (CCA), a direct gradient analysis technique [29], was used to investigate the relationship between epiphytic species and biometric parameters of the two sampling macrophytes. Epiphyte abundances data were log⁡(x+1)-transformed. Downweighting for rare species was performed. We used CANOCO 4.5 (Scientia Software).


## 5. Results

Cymodocea nodosa exhibits the highest shoot density whilePosidonia oceanicahas the highest leaf area index (LAI) (Figure 2). The average leaf number was 7.21±2.13 (mean ± standard deviation) and 3.66±1.12 forP. oceanica andC. nodosa, respectively. The highest mean value of leaf length (48.57±7.87 cm) was recorded forP. oceanica, whereas the lowest mean value (16.3±4.87 cm) was observed forC. nodosa.Figure 2
Average leaf area index (LAI) and shoot density ofP. oceanica andCymodocea nodosa.A total of 52 taxa of epiphytic microalgae were identified (Table1). The highest number of collected species was diatoms (24), followed by dinoflagellates (22) and cyanobacteria (6). Species number and H′ index of microepiphytic assemblage were high onPosidonia oceanica leaves (Figure 3).Table 1
“Presence-absence” species list of epiphytic microalgae identified on the leaves ofP.  oceanica and of C.  nodosa in prospected stations.
Species
Posidonia
Cymodocea
Dinoflagellates
Amphidinium  carterae Hulburt
0
1
Ceratium  furca. (Ehrenberg) Claparède and Lachmann
1
0
Ceratium  tripos (Müller)
1
0
Coolia  monotis Meunier
0
1
Cyst of dinoflagellates
0
1
Gonyaulax  spinifera
0
1
Gymnodinium sp.
0
1
Ostreopsis  ovata (Fukuyo)
0
1
Polykrikossp.
0
1
Prorocentrum  concavum (Fukuyo)
1
0
Prorocentrum  gracile (Schütt)
1
0
Prorocentrum  lima (Ehrenberg) Dodge
1
0
Prorocentrum  micans Ehrenberg
1
0
Prorocentrum  minimum (Pavillard) J. Schiller
1
0
Prorocentrum  rathymum (Loeblich) Shirley and Schmidt
1
0
Prorocentrum  triestinum (Schiller)
1
0
Protoperidinium  curtipes (Jorgensen) Balech
1
0
Protoperidinium  depressum (Bailey) Balech
1
0
Protoperidinium  divergens (Ehrenberg) Balech
1
0
Protoperidinium  mite (Pavillard) Balech
1
0
Protoperidinium  ovum (Schiller) Balech
1
0
Protoperidinium  steinii (Jørgensen) Balech
1
0
Protoperidiniumsp.
0
1
Scrippsiella sp.
1
1
Diatoms
Amphiprora  constricta Ehrenberg
1
0
Amphora sp.
1
1
Asterionellopsis  glacialis (Castracane) Round
1
0
Asteromphalus  flabellatus (Brébisson) Greville
1
0
Bacillariasp.
1
0
Budelphia sp.
1
0
Chaetocerossp.
1
0
Climacosphenia  moniligera (Ehrenberg)
1
0
Coscinodiscus sp.
0
1
Dactyliosolen sp.
1
0
Diploneis sp.
1
0
Fragilaria sp.
1
0
Grammatophora sp.
1
0
Guinardia sp.
1
1
Licmophora sp.
1
1
Navicula sp.
1
1
Nitzschia  fonticola Grunow
1
0
Pinnularia sp.
1
0
Pleurosigma sp.
1
0
Rhizosolenia  styliformis Brightwell
0
1
Striatella  unipunctata (Lyngbye) C. Agardh
1
0
Surirella sp.
1
0
Cyanobacteria
Anabaena sp.
1
1
Lyngbya sp.
0
1
Merismopedia sp.
0
1
Micrococcus sp.
0
1
Oscillatoria sp.
1
1
Pseudanabaena sp.
1
0Figure 3
Mean diversity index (H′) and species number (S) on leaves in prospected stations.Analysis of similarity (ANOSIM) of epiphytic microalgaelog⁡(X+1)-transformed specie abundances showed significant difference (R=0.987; P=0.02) between theP. oceanicastation andC. nodosastation.Analyses of similarity percentage (SIMPER) showed that the average dissimilarity betweenP. oceanica andC. nodosaepiphytes groups is high (64.44%). This procedure also allowed us to determine the species that contribute to this dissimilarity; they areOscillatoriasp.,Fragilaria,Pseudanabaenasp., andAmphiprora constricta (Table 2) that are more abundant onC. nodosa leaves.Table 2
SIMPER results.
Species
GroupPosidonia
GroupCymodocea
Av. Diss
Diss/SD
Contrib%
Cum.%
Av. Abund
Av. Abund
Oscillatoria sp.
500
6000
30.19
6.2
46.85
46.85
Navicula sp.
3933.33
3850
13.36
2.07
20.74
67.59
Fragilaria sp.
625
0
3.34
6.32
5.19
72.78
Pseudanabaena sp.
600
0
3.31
6.49
5.13
77.91
Amphiprora  constricta
450
0
2.48
5.74
3.85
81.76
Guinardia sp.
33.33
300
1.47
5.1
2.29
84.05
Anabaenasp.
300
41.67
1.42
5.79
2.21
86.26
Pinnularia sp.
250
0
1.41
2.81
2.18
88.44
Amphora sp.
100
300
1.09
4.25
1.69
90.13Dinoflagellates, diatoms, and cyanobacteria were common epiphytes on leaves (Figure4). Abundances of those groups were included in the univariate analyses of variances. Dinoflagellates did not differ significantly between stations (F(1;10) = 1.31, P=0.279). Significant differences were detected for Gymnodiniales and Peridiniales among stations (F(1;10) = 2868.42, P<0.001; F(1;10) = 1666.78, P<0.001, resp.) with high abundance on leaves ofCymodocea. In contrast, Prorocentrales were more abundant on the leaves ofPosidonia (F(1;10) = 15.79, P=0.003; Tukey test). Epiphytic diatoms were more abundant onPosidonia leaves (F(1;10) = 13.64, P=0.004; Tukey test). In contrast, cyanobacteria were higher onCymodocealeaves (F(1;10) = 1749.26, P<0.001; Tukey test). When the abundances of toxic species are grouped, significant differences were detected among stations (F(1;10) = 57.63, P<0.001) with high abundance onPosidonia leaves. Significant differences were detected for species number and for H′ index (F(1;10) = 34.005, P<0.001; F(1;10) = 14.14, P=0.004); S and H′ ofP. oceanica were higher than those ofC. nodosa(Table 3).Table 3
Analysis of variance ANOVA of the abundances of major groups of microalgae and cyanobacteria in prospected stations.
Source
Df
MS
F
P
Tukey test
Total abundance
Habitat
1
0.050
15.555
0.003
C> P
Residuals
10
0.003
Dinoflagellates
Habitat
1
0.031
1.312
0.279
n. s.
Residuals
10
0.023
Diatoms
Habitat
1
0.067
13.643
0.004
C < P
Residuals
10
0.005
Cyanobacteria
Habitat
1
1.310
1749.266
<0.001
C > P
Residuals
10
0.001
Toxic species
Habitat
1
1.255
57.635
<0.001
C < P
Residuals
10
0.022
Species number (S)
Habitat
1
1452.000
34.005
<0.001
C < P
Residuals
10
42.700
H
′
Habitat
1
0.032
14.143
0.004
C < P
Residuals
10
0.002
C:Cymodocea  nodosa meadow; P: Posidonia  oceanica meadow; n. s.: not significant. Data were log⁡(x+1)-transformed after significant Cochran C test.Figure 4
Average abundance of microepiphytes on leaves in prospected stations.The results of RELATE tests indicated that there is a correlation between the biometric parameters (shoot density, LAI, and average adult and intermediate leaves) and species abundance (Spearman rank correlation statistic, Rho = 0.684;P=0.04).Canonical correspondence analysis (CCA) indicates that the axis I and axis II expressed high cumulative variance species-biometric parameters (98.1%, Table4). Stations P and C are placed separately on the left and the right of the diagrams, respectively. Species placed closely with samples ofP. oceanica (P) station belong mainly to Prorocentrales. Species closely placed near samples ofC. nodosa station belong mainly to cyanobacteria (Figure 5).Table 4
Summary of canonical correspondence analysis (CCA) of the three data matrices (epiphytic microalgae, stations, and biometric parametersvariables).
Axis 1
Axis 2
Eigenvalues
0.564
0.020
Species-environment correlations
0.992
0.760
Cumulative percentage variance of species data
69.6
72.0
Cumulative percentage variance of species-environment relation
94.8
98.1
Sum of all eigenvalues
0.810
Sum of all canonical eigenvalues
0.595
Explained variance by CCA
73,45%
Intraset correlations of variables with axes
Density
0.9581
−0.1771
Average of adult leaf length
−0.9645
−0.0258
LAI
−0.9591
−0.1494Figure 5
Diagram of canonical correspondence analysis (CCA) showing the effects of biometric parameters of the host plant on epiphytic microalgae species and their ordination according to the first and second axes. Species whose coverage and frequency are less than 10% were eliminated. Species that were grouped with Posidonia station (P) are 10:Prorocentrum concavum,11:Prorocentrum minimum, 12:Prorocentrum lima, 15:Nitzschia fonticola,16:Fragilariasp., 17:Surirellasp., 19:Diploneissp., 21:Pleurosigmasp., 23:Pinnulariasp., 26:Amphiprora constricta,27:Anabaenasp., and 28:Pseudanabaenasp. Species that are grouped with Cymodocea (C) station are 2:Gymnodiniumsp., 3:Amphidinium carterae,4:Gonyaulax spinifera,5: Cyst of dinoflagellates, 6:Protoperidinium sp., 8:Coolia monotis,13:Rhizosolenia styliformis, 18:Guinardiasp., 24:Amphorasp., 25:Nitzschiasp., 29:Coscinodiscussp., and 30:Oscillatoriasp.


## 6. Discussion

Differences between leaf epiphytic microalgae communities were found betweenC. nodosa andP. oceanica in our study area (East of Tunisia); leaf microepiphytic communities ofPosidonia were more diverse than those ofC. nodosa(S and H′: Table 3). The same results were found by Mazzella et al. [30] in Adriatic Sea and by Turki [19] in Northern Tunisia. Contrary to what was expected, total abundance of epiphytic microalgae was higher onC. nodosa. A possible hypothesis to explain this result is thatP. oceanicadevelops much larger leaf area index values thanC. nodosawhich contribute to light attenuation within the seagrass canopy by leaf self-shading [31]. Unfortunately, light measurements were not taken in this study, but previous studies have shown that light attenuation by the canopy is reduced with decreased leaf area index [32]. Therefore, the higher light availability that may occur inC. nodosameadows may explain the higher abundance of epiphytic microalgae found in these meadows.Ours results showed that microepiphytic abundances are correlated with shoot density and phenological parameters of the host plant (RELATE procedure); prorocentrales abundance was related to leaf length and leaf area index, while cyanobacteria was related toCymodoceashootdensity (CCA procedure; Figure 5). Correlation between microepiphytic species and leaf phenological parameters of the host plant has been also found by previous studies forP. oceanica [5] and forZostera marina [33]. Indeed, differences between leaves shapes could explain epiphytic species variability betweenP. oceanicaandC. nodosa. The leaves ofP. oceanica are ribbon-shaped (40 to 140 cm long, 7 to 11 mm wide) gathered together in fascicles (from 5 to 8 leaves) at the tips of the stems and have a life of between 5 and 13 months [34]. The leaves ofC. nodosaare also ribbon-shaped but shorter than those ofPosidonia oceanica (10 to 30 cm long, 2 to 4 mm wide), gathered together in smaller fascicles (from 2 to 5 leaves), and have a life of between 2 and 8 months [35, 36].Cymodocea nodosa has the higher value of specific growth rate (up to 4.7%) than ofP. oceanica (1.5%) [31]. The short life spanC. nodosa could explain domination of fast growing species such asOscillatoriasp. [37] and other cyanobacteria species.Posidonia oceanica leaves are older; they offer more time for the epiphytic species to settle and the epiphytic community will be composed of a more mature and more diverse community.The epiphytic composition is influenced by the interaction between the lifespan of the host and the reproductive lifespan of the epiphytes [38]. Where the host is long-lived, as forPosidonia, local recruitment from existing epiphytes with fast reproductive strategies can continually reinforce the local composition. For instance, the density of diatoms increased relatively quickly and became dominant (after 7 to 10 weeks) in the older parts of the sheet [1, 22]. Cyanobacteria include some fast growing species such asOscillatoriasp. [37]. Borowitzka et al. [38] suggest that seagrass epiphytes can be classified into groups based on their seasonal distribution: (a) epiphytes occurring throughout the year, (b) epiphytes with a distinct seasonal pattern in their occurrence, and (c) transient colonizers.Difference between epiphytic compositions on the leaves of seagrass species has been studied over the world and showed that more persistent and structurally complex seagrass species tend to have more diverse epiphyte assemblages. Short-lived seagrass species such asHeterozostera sp. andHalodule sp. are likely to be relatively depauperate in epiphyte species richness compared to persistent seagrass species such asAmphibolissp. [38]. The findings of Aligizaki and Nikolaidis [15] showed that the maximum abundances of epiphytic dinoflagellates were recorded in branched macroalgae, while those abundances were remarkably lower in the less leafy marine phanerogame such asCymodocea.The two species of macrophytes made different habitats depending on local environmental conditions (nutrient, substratum, current, ect.); our prospectedPosidonia meadow is a monospecific fringing reef, whereas samplingC. nodosa is a continuous extensive bed. Differences of hydrodynamic forces between those two habitats and wave exposure can also be responsible for species variability of the epiphytic communities. Indeed, seagrasses are able to modify current flow and this depending on species [39]. For instance, wave attenuation is the highest when seagrasses occupy a large portion of the water column such asPosidonia oceanica bed [40]. As a result bed with high canopy is slower than low-canopy seagrass bed [41, 42]. The canopy ofP. oceanicatends to attenuate currents and waves thereby reducing the forces exerted on individual shoots [42]. Even at the edge of the canopy, seagrass shoots may be sheltered to a certain extent by the presence of adjacent shoots [43]. Natural fluctuations in water flow also affect the epiphytic community. If an epiphytic community develops during relatively calm conditions, species with high drag (i.e., large area exposed to the flow) may become dominant, but if the flow increases over a short period of time (e.g., storms), these epiphytes are then removed [44]. Our study is carried out in September (summer season), which is fairly quiet period since the storms intensified especially in autumn in the eastern Tunisia. Consequently, the effect of the removal of epiphytes by strong hydrodynamics would be less important.The epiphyte-grazer interaction also plays an important role in controlling the abundance and diversity of epiphytes. Indeed, the epiphytes of marine macrophytes are a food source for a range of grazers and, in turn, they influence the diversity and abundance of epiphytes by removing the substrate and biomass of the host plant [38]. The effect of grazing is also an important factor that contributes to the variation between the two macrophytes species, as many species feed on epiphytes ofPosidonia, including the echinoidParacentrotus lividus, some decapods, and amphipods [45, 46]. In addition, about 50 species of fish are encountered inP. oceanica beds [47].Grazers can be highly selective and thus may have a strong effect on the spatial pattern of the periphytic community [48]. Some grazers (scrapers) feed preferentially on tightly attached diatoms [46], whereas others (surfers) favor overstory diatoms [49]. Neckles et al. [50] have shown that number of diatoms decreased in the presence of grazers. In addition, strong currents (and/or high waves) may eliminate grazers allowing for more epiphytes to grow [51]. Cyanobacteria have different mechanisms to reduce the grazing pressure by large-bodied cladocerans. They can form colonies with sizes beyond the ingestion capacity; cyanobacteria may produce grazing deterrents and potent endotoxins that are released upon digestion, while cells that are embedded in mucus could be resistant to digestion [52].Diatom abundance was higher inP. oceanica; they are dominated by the order of naviculales which includes the most abundant species present on the leaves ofP. oceanica [53, 54]. Various studies have suggested that diatoms and bacteria are among the first organisms to colonize the submerged objects or organisms, and they shape a biofilm influencing the settlement of some invertebrate larvae [53]. The diatoms also constitute a food source for various organisms living in thePosidonia canopy [53–55].Dinoflagellates were more abundant on the leaves ofP. oceanica, especially the order of prorocentrales. Abundance of potentially toxic dinoflagellates onPosidonialeaves was higher than those onC. nodosaleaves. These findings support those of Romdhane et al. [56] and Armi et al. [57] in Tunisia and those of Aligizaki and Nikolaidis [15] in the north of the Mediterranean Sea. They areAmphidinium carterae,Coolia monatis,Ostreopsis ovata,Prorocentrum concavum,P. minimum,P. rathymum, P. triestinum, P. micans, andP. lima. Those species are potential toxin producers [58]. For instance, epiphyticProrocentrum species are mainly associated with okadaic acid and the production of analogues [59]. These results are particularly useful in this area with the recent establishment of several fish farms because epiphytic dinoflagellates are easily resuspended in the water column [8] and that abundance of phytoplankton in vegetated areas is higher than in the unvegetated station [16]. Moreover, Marr et al. [60] concluded that the underestimation of toxic dinoflagellates associated with a toxic event may be due, in part, to the lack of sampling of the benthic and epiphytic communities. Finally, it is necessary to improve a management program to protect seagrass species and their associated epiphytes in eastern Tunisia and ovoid installation of aquaculture farm around seagrass beds whenever possible not only to preserve this vulnerable ecosystems [35] but also to ovoid a possible contamination by epiphytic potentially toxic species.


## 7. Conclusion

Abundance and species composition of epiphytic microalgae were different on the leaves ofP. oceanicaandC. nodosa.Local environmental conditions (hydrodynamics, light penetration), host characteristics (meadow type, shape forms of leaves, life span, and growth rate), and grazing effect seem to be responsible for these dissimilarities in epiphytic microalgae communities.



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*Source: 275305-2014-06-03.xml*