Distribution of picophytoplankton communities from brackish to hypersaline waters in a South Australian coastal lagoon
Saline Systems volume 6, Article number: 2 (2010)
Picophytoplankton (i.e. cyanobacteria and pico-eukaryotes) are abundant and ecologically critical components of the autotrophic communities in the pelagic realm. These micro-organisms colonized a variety of extreme environments including high salinity waters. However, the distribution of these organisms along strong salinity gradient has barely been investigated. The abundance and community structure of cyanobacteria and pico-eukaryotes were investigated along a natural continuous salinity gradient (1.8% to 15.5%) using flow cytometry.
Highest picophytoplankton abundances were recorded under salinity conditions ranging between 8.0% and 11.0% (1.3 × 106 to 1.4 × 106 cells ml-1). Two populations of picocyanobacteria (likely Synechococcus and Prochlorococcus) and 5 distinct populations of pico-eukaryotes were identified along the salinity gradient. The picophytoplankton cytometric-richness decreased with salinity and the most cytometrically diversified community (4 to 7 populations) was observed in the brackish-marine part of the lagoon (i.e. salinity below 3.5%). One population of pico-eukaryote dominated the community throughout the salinity gradient and was responsible for the bloom observed between 8.0% and 11.0%. Finally only this halotolerant population and Prochlorococcus-like picocyanobacteria were identified in hypersaline waters (i.e. above 14.0%). Salinity was identified as the main factor structuring the distribution of picophytoplankton along the lagoon. However, nutritive conditions, viral lysis and microzooplankton grazing are also suggested as potentially important players in controlling the abundance and diversity of picophytoplankton along the lagoon.
The complex patterns described here represent the first observation of picophytoplankton dynamics along a continuous gradient where salinity increases from 1.8% to 15.5%. This result provides new insight into the distribution of pico-autotrophic organisms along strong salinity gradients and allows for a better understanding of the overall pelagic functioning in saline systems which is critical for the management of these precious and climatically-stress ecosystems.
The ubiquitous distribution of picophytoplankton and their importance in terms of biomass and production, make them a critical component of food web and carbon cycling in marine systems [1–3]. In particular the partitioning between picophytoplankton and larger cells reflects the source and cycling of nutrients  and influences the pathway of matter transfer to higher trophic levels .
Flow cytometry has been extensively used to investigate the distribution of phototrophic picoplankton and three groups may be identified in unstained samples: Prochlorococcus sp., Synechococcus sp. and pico-eukaryotic phototrophs . Environmental factors controlling the distribution and composition of these distinct communities have been extensively reviewed, such as light requirement [5, 7], water temperature [8, 9], nutrient levels [1, 10], grazing [11, 12] and viral lysis [13, 14]. However, most of these investigations concerned pelagic ecosystems and the picophytoplankton communities in coastal waters have still received little attention.
Coastal habitats are characterized by strong environmental gradients which are likely to be important areas of highly dynamic compositional and functional changes . In particular, important ecological changes such as decreasing biodiversity and increasing dominance of prokaryotes are assumed to occur along salinity gradients . However, little is still known about the effect of salinity on the distribution and community composition of picophytoplankton .
Several studies have been performed within estuaries or bays investigating planktonic cyanobacteria and/or eukaryotic picophytoplankton communities [e.g. [14, 18, 19]]. However, in these studies, salinity never exceed 3.5% and the dynamics of phototrophic communities under high salinity conditions (i.e. above 3.5%) has been mainly investigated in crystallizer ponds from solar salterns [20–22] or in hypersaline lakes [17, 23, 24].
In this context, the present study investigates the distribution of picophytoplankton (i.e. cyanobacteria and eukaryotes) communities along a strong and continuous salinity gradient. With salinity gradually increasing from brackish (1.8%) to hypersaline (15.5%), the Coorong, a shallow South Australian lagoon, represents a unique model system to investigate the role of salinity in shaping the niche development in picophytoplankton communities. This shallow coastal lagoon is one of Australia's most significant wetlands especially as a waterbird habitat and has been designated a wetland of international importance under the Ramsar Convention in 1985. Over the past decades, this system has been impacted by the building of barrages that favored the flow of seawater into the wetlands over the usual freshwater flow from the river Murray. In addition, climate variability (lower freshwater inputs and higher evaporation processes) also led to increase the salinity of the lagoon. A better knowledge of the picoplankton communities inhabiting the different part of the lagoon is thus essential both locally, for the management of this fragile ecosystem, and globally as a unique model system to deeply investigate the potential consequences of environmental changes and perturbations on community shifts.
More specifically, given the lack of information related to the dynamics of picophytoplankton communities along continuous natural hypersaline gradients, our objectives were to (i) investigate the changes in abundance and diversity of flow cytometrically-defined populations of planktonic cyanobacteria and pico-eukaryotes along the salinity gradient and (ii) identify the main factors driving their distributions.
The Coorong is a shallow lagoon in South Australia, parallel to the coast and separated from the open ocean by a network of sand dunes (Fig. 1). This coastal lagoon forms the Murray Mouth with the lower lakes (Lake Alexandrina and Lake Albert), which is the terminal lake system of the River Murray . More than 140 km in length, the Coorong is characterised by a strong salinity gradient with salinity values ranging from ca. 2.0% close to the Murray Mouth to more than 15.0% near Salt Creek (Fig. 1). As the saline waters of the Coorong receive inputs from the ocean through the Murray Mouth and from underground, the concentration of salts along the lagoon is similar to seawater. The saline waters of the lagoon are separated from the lower lakes by a series of barrages. The freshwater inputs through the barrages lead to lower salinities in the North-West part of the Coorong, whereas the excess in evaporation over precipitation increases salinity along its North-South axis, especially during the summer period characterised by (i) low water levels (ranging from 0.5 m near the Murray Mouth to 0.9 m in the southern part of the lagoon) and (ii) weak tidal impact .
Samples were collected at 20 locations along the lagoon, from the brackish waters near Goolwa (salinity = 1.8%) to the hypersaline waters near Salt Creek (salinity = 15.5%; Fig. 1) on February 3-4, 2007. At each sampling site, referred to as Si with i = 1 to 20 (Fig. 1), measurements and water sample collection were performed in 50 cm of water (a depth representative of most parts of the lagoon) from (i) the sub-surface waters and (ii) at the water-sediment interface (WSI). Temperature (°C), conductivity (mS cm-1) and dissolved oxygen concentrations (DO; mg l-1) were recorded using a YSI 85 (Fondriest) multiparameter probe. Salinity (%) was calculated from temperature and conductivity following Fofonoff and Millard . 1 liter water samples were collected at each depth using acid-washed 1-liter borosilicate bottles with special care to avoid sediment resuspension.
Dissolved inorganic nutrient concentrations were determined from 12 ml filtered (Whatman GF/C) water samples. Analyses were performed in the field using a portable LF 2400 photometer (Aquaspex®) according to standard colorimetric methods for (Indophenol blue), (Naphtylethylene diamine), (Naphtylethylene diamine after zinc reduction) and (Ascorbic acid reduction). Ammonium, nitrite, nitrate and phosphate measures ranged from 0.6 to 110 μM, 0.2 to 160 μM, 1.6 to 160 μM and 1.1 to 50 μM, respectively. Samples (50 to 100 ml) for suspended particulate material concentration (SPM; mg l-1) were filtered through pre-combusted (400°C; 4 hours) and pre-weighted glass-fibre filters (Whatman GF/C; pore size = 1.2 μm), and immediately deep frozen in liquid nitrogen until analysis. In the laboratory, filters were rinsed with MilliQ water, dried at 60°C for 24 h, and reweighed to determine the mass of suspended solid retained on the filter .
Two distinct set of samples (3 × 1 ml) were collected for the identification and enumeration of virus-like particles and picophytoplankton populations by flow cytometry.
Virus-like particles (VLP) were identified through flow cytometry to assess the presence of phytoplankton phages that could potentially infect phytoplankton. These phytoplankton phages can be discriminated from the other groups of virus by their higher side scatter (related to their size) and/or green fluorescence (related to their DNA content) as previously shown in recent works [28, 29]. Samples were collected in triplicate (1 ml) at each sampling station, fixed with 0.5% (final concentration) glutaraldehyde in the dark at 4°C for 15 min, quick frozen in liquid nitrogen and then stored at -80°C until analysis. After being quick thawed, samples were diluted (1:10) in 0.2 μm filtered TE Buffer stained with SYBR Green I solution (1:5000 dilution) and incubated at 80°C in the dark for 10 min .
Phytoplankton biomass was estimated through chlorophyll a (Chl a) concentrations. Samples (50 to 100 ml) were filtered through glass-fibre filters (Whatman GF/C) and immediately deep frozen in liquid nitrogen until analysis. Chlorophyllous pigments were then extracted in 5 ml of methanol in the dark at 4°C during 24 h . Concentration of Chl a (μg l-1) was determined following Strickland and Parson  using a Turner 450 fluorometer previously calibrated with a pure Chlorophyll a solution (Anacystis nidulans extract, Sigma Chemicals, St Louis).
Photosynthetic picophytoplankton populations were identified and enumerated by flow cytometry (FCM) using a FACScanto flow cytometer (Becton-Dickinson) equipped with an air-cool argon laser (15 mW, 488 nm) with phosphate buffer saline (PBS) solution employed as a sheath fluid. Water samples (1 ml) were fixed in the field with 2% (final concentration) of paraformaldehyde, immediately deep frozen in liquid nitrogen and then stored at -80°C.
After being quick thawed, picoplankton cells were discriminated and enumerated by FCM according to their specific auto-fluorescence and light scatter properties [33, 34]. Forward-angle light scatters (FSC), right-angle light scatter (SSC), red and orange fluorescence, were recorded for each sample. As the values of FSC are those most affected by density differences between the sheath fluid and the samples , the values of FSC were not used to enumerate cells. Fluorescent beads 1 μm in diameter (Molecular Probes, Eugene, Oregon) were added to all samples as an internal standard. Working beads concentrations were estimated after each FCM session under epifluorescent microscopy to ensure reliability of the beads concentration and all FCM parameters were normalized to bead concentration and fluorescence. Finally, picophytoplankton populations were identified and enumerated using WinMDI 2.9 (©Joseph Trotter) flow cytometry analysis software. Synechococcus sp., Prochlorococcus sp. and autotrophic pico-eukaryotic cells were discriminated in plots of SSC versus orange fluorescence (from phycoerythrin) and red fluorescence (from chlorophyll), according to standards protocols [33, 34]. Synechococcus and Prochlorococcus cells can be discriminated by their flow cytometry scatter signal (SSC) related to their size, and their fluorescence emission when excited by a blue light. The phycobilins contained in Synechococcus emit a strong orange fluorescence, whereas Prochlorococcus harvest light mainly through chlorophyll a and b, and therefore emit only red fluorescence when excited by blue light . In addition, Synechococcus cells are larger than Prochlorococcus cells (ca. 1-0.6 μm in diameter respectively) . Pico-eukaryotes were identified by their larger size (SSC) and higher red fluorescence. Because, in the absence of genetic fingerprinting the identification of Synechococcus and Prochlorococcus cannot be warranted sensu stricto, the populations exhibiting the flow cytometric signatures of Synechococcus and Prochlorococcus as reported in the literature were referred to as Synechococcus-like and Prochlorococcus-like populations.
Comparisons between the two sampling depths were conducted using the Wilcoxon-Mann-Whitney U-test (U-test hereafter). The BIOENV  and BVSTEP  procedures (PRIMER version 6.0) were used to investigate relationships between environmental variables and picophytoplankton community's composition along the salinity gradient. Both analysis compare rank correlation between the matrices of environmental variables (based on normalised Euclidian distance) and the biotic similarity matrix of picophytoplankton variables (based on the Bray-Curtis similarity) using different permutations of the environmental variables. BIOENV compares different combinations of a specified number of variables, whereas BVSTEP uses a stepwise procedure to identify the best subset of variables. Spearman rank correlations between the biotic and abiotic similarity matrices were used to identify the best suites of environmental variables that best explained the distribution of picophytoplankton communities along the salinity gradient and the significance of the correlation was determined using a permutation procedure . Environmental variables considered in the BIOENV/BVSTEP analysis were salinity, [DO], [SPM], , [ + ],  and VLP3 abundances. As temperature variability between stations was mainly related to the time of the day when the sampling occurred, this parameter was not considered in the analyses. Similarities between stations for picophytoplankton communities along the salinity gradient were inferred through a cluster analysis (i.e. hierarchical agglomeration using complete linkage cluster analysis performed on Euclidian distances) performed on the log (abundance + 1) data matrix . This analysis was performed with STATISTICA version 8 software.
No significant differences were found between sub-surface and water-sediment interface (WSI) for any abiotic or biotic parameters (U-test, 0.10 < P < 0.02). This indicates that the water column was well mixed along the lagoon, in accordance with previous results . Sub-surface and WSI data were then pooled for further analysis.
Water temperature ranged between 25.2°C and 27.7°C. Salinity increased from 1.77% in S1 to 15.48% in S20 (sampling site, referred to as Si with i = 1 to 20, see Fig. 1, Table 1). At stations S1 and S2, salinity levels remained below 2.50%. Salinity then slowly increased from 2.75% to 5.03% between stations S3 and S11. In contrast, salinity sharply increased from station S12 to reach 15.0% at station S17 (Table 1).
Ammonium () was by far the most abundant form of nitrogen and represented more than 80% of the total inorganic nitrogen pool throughout the salinity gradient (Table 1).  concentrations increased with salinity and highest concentrations (i.e. > 110 μM) were observed from 13.35% (S16; Table 1). Phosphate concentrations ) were relatively high below 3.32% (i.e. from S1 to S6) with values ranging between 20 to 40 μM, and decrease thereafter to reach very low levels (i.e. <4 μM) between 3.35% and 6.75% (i.e. from S7 to S12). Relatively high concentrations (i.e. 9 to 16 μM) were observed again from 8.30% to 13.35% (i.e. S13 to S16) and decreased thereafter to reach very low level (i.e. < 4 μM) in the hypersaline waters of the lagoon (i.e. salinity > 14.0%; Table 1).
Dissolved oxygen (DO) concentrations ranged between 1.4 and 5.5 mg l-1 along the salinity gradient (Fig. 2A). DO concentrations remained below 3.0 mg l-1 in the brackish (i.e. salinity < 2.5%) and hypersaline waters of the lagoon (i.e. salinity > 13%). Highest DO values, ranging between 4.2 and 5.5 mg l-1, were observed between 2.74% and 10.72% (Fig. 2A). Concentrations of suspended particulate matter (SPM) increased exponentially along the salinity gradient, with values increasing from 30 mg l-1 at 1.77% to 967 mg l-1 at 15.01% (Fig. 2B).
Three virus-like particles (VLP) populations were identified along the salinity gradient (Fig. 3). Details of the pattern of VLP populations along the salinity gradient are fully described in Schapira et al. . Briefly, the two first populations (VLP1 and VLP2) exhibit the same cytometric signature (SSC and green fluorescence) of viral population observed previously in seawater and identified as bacteriophages . In contrast, the third population (VLP3) exhibits the same SYBR Green fluorescence (related to DNA content) level as VLP2 but a higher side scatter (i.e. size; Fig. 3), hence could represent a group of phytoplankton viruses [28, 29]. VLP3 was only observed from 5.03% (S11) to 10.00% (S14) with abundances ranging between 1.9 × 106 and 4.3 × 106 VLP ml-1.
Chlorophyll a (Chl a) concentration increased from 0.4 μg l-1 to 14.1 μg l-1 with salinity increasing from 1.77% to 13.36% (Fig. 4A). Chl a concentrations sharply decreased thereafter, for salinity greater than 14.0%, and remained below 4.5 μg l-1 in the hypersaline part of the lagoon (Fig. 4A).
Picoplankton abundance and community structure identified using FCM
Picophytoplankton abundances were highly variable along the salinity gradient with values ranging between 8.3 × 103 cells ml-1 and 1.4 × 106 cells ml-1 (Fig. 4B). Concentrations were relatively low (i.e. ≤ 6.3 × 105 cells ml-1) where salinity remained below 7.0% (Fig. 4B). High abundances were observed for salinity between 8.0% and 11.0% with values ranging from 1.3 × 106 cells ml-1 to 1.4 × 106 cells ml-1 (Fig. 4B). Above 13.0% picophytoplankton abundance was very low with values remaining below 8.0 × 104 cells ml-1 (Fig. 4B). Samples were characterised by a highly complex community structure with multiple subpopulations of picophytoplankton throughout the salinity gradient. Flow cytometry analysis (FCM) revealed 2 distinct populations of pico-cyanobacteria (P-Cya) exhibiting fluorescence and side-scatter characteristics of Prochlorococcus sp. and Synechococcus sp. (referred hereafter as Prochlorococcus-like and Synechococcus-like), and 5 different populations of pico-eukaryotes (P-Eu), exhibiting consistently different side scatter (related to size) and red fluorescence. These different subpopulations were identified according to their differences in size and both red and orange fluorescence (Fig. 5). 1 μm beads were added in all occasion during flow cytometry run as a reference of size and the largest pico-eukaryote population was only slightly bigger than the beads (i.e. 1 μm).
Except in locations where salinity remained below 3.0%, P-Eu were by far the most abundant and contribute to more than 54% of the total abundances throughout the salinity gradient (Fig. 6A). Furthermore, the picophytoplankton community was only composed of P-Eu for salinities ranging from 4.5% to 14.0% (Fig. 6A). Below 3.0% (S1 to S3) P-Cya were much more abundant, contributing from 48% (S2) to 81% (S3) of the total community, with Synechococcus-like and Prochlorococcus-like populations respectively representing 23% to 34% and 22 to 47% of the total abundances (Fig. 6A). The Synechococcus-like population was observed from 1.7% to 4.5% (S1 to S9). In contrast, the Prochlorococcus-like population was observed for salinity ranging from 1.7% to 3.5% (S1 to S7) and for salinity greater than 14.0% (S17 to S20; Fig. 5, 6A). Five different sub-populations of P-Eu were discriminated (Fig. 6B). These populations consistently exhibited different side scatter and red fluorescence signatures (Fig. 5). P-Eu1 was by far the most abundant and contributed to more than 70% of the P-Eu abundances (Fig. 6B). P-Eu2 was the second most abundant population with relative contribution to the total P-Eu only occasionally exceeding 23% (Fig. 6B). Whilst P-Eu1 was identified throughout the salinity gradient P-Eu2 was not observed for salinity greater than 14.0%; P-Eu1 was also the only sub-population observed in these hypersaline waters of the lagoon (Fig. 6B). The relative abundances of populations P-Eu3, P-Eu4 and P-Eu5 remained below 2% and were locally observed mostly for salinity ranging from 3.2 and 3.5% (Fig. 6B). The cluster analysis performed on picophytoplankton abundance discriminated 2 main groups of stations based on their population richness (defined here as the cytometrically-defined richness, i.e. FCM richness): a high FCM richness group (i.e. richness ≥ 4) occurred for salinity lower than 3.5% (S1 to S7), and a low FCM richness group (i.e. richness < 4) included stations where salinity was greater than 3.5% (Fig. 7). In the later, two sub-groups of stations were identified: a sub-group where P-Eu (P-Eu1, P-Eu2 and P-Eu3) contributed to more than 93% to the total abundances occurring for salinity ranging between 3.5% and 14.0% (S8 to S16), and a sub-group characterized by a community composed exclusively by the P-Eu sub- population P-Eu1 and Prochlorococcus-like picocyanobacteria comprising stations where salinity was greater than 14.0% (S17 to S20; Fig. 7).
Picophytoplankton and environmental variables
Multivariate correlations analysis, BIOENV showed that the environmental variable that best explained the picophytoplankton abundance pattern along the lagoon was salinity (ρ = 0.542; P < 0.01; Table 2). Salinity in combination with ammonium concentrations and abundance of viral population (VLP3) are the best subset of variables explaining the variability of picophytoplankton abundances observed along the salinity gradient (BVSTEP; Table 2). The Spearman's rank correlation coefficient for this analysis was 0.520 and was statistically significant (P < 0.01; Table 2).
Autotrophic biomass along the salinity gradient
Indicators of autotrophic biomass, including chlorophyll a concentrations and picophytoplankton cell numbers exhibited maxima at salinities ranging between 11.0-13.0% and 8.0% and 11.0% respectively (Fig. 4). This distribution of autotrophic biomass along the lagoon is consistent with previous observations conducted in solar salterns over comparable salinity ranges [21, 22, 41, 42]. The maximal chlorophyll a concentration in the present work (i.e. 14.1 μg l-1) was, however, well above values observed in these semi-artificial systems, which typically never exceeded 8 μg l-1 [21, 41, 42]. In addition, maximal picophytoplankton abundance observed in the lagoon was 1.4 × 106 cells ml-1. This is nearly one order of magnitude higher than, the maximum abundances estimated by flow cytometry which did not exceed 3.5 × 105 cells ml-1 at comparable salinities in the solar salterns of Bras del Port (Spain) . These observations highlight the unique properties of the autotrophic communities found along a strong continuous salinity gradient, when compared to previous studies carried out in solar salterns.
An increase in primary producers' biomass was observed from salinity higher than 7.0% (Fig. 4) where dissolved oxygen concentrations were relatively high (Fig. 2A). This may be indicative of an enhancement of primary production in this part of the lagoon as previously observed under comparable salinity range in solar salterns . An increase in primary production may be the result of a change in nutrient availability along the salinity gradient. This is consistent with the results of the BVSTEP analysis which highlighted a strong relationship between picophytoplankton abundances and ammonium concentrations (Table 2). The high abundances observed from salinity higher than 8.0% could be explained by the high ammonium concentrations found in the same part of the lagoon (Table 1). This is congruent with previous work showing the ability of picophytoplankton to efficiently utilize regenerated forms of nitrogen such as ammonium and urea [4, 43]. A modification of the light regime along the salinity gradient may also have impacted the pattern of autotrophic organisms observed in the present study. The increase in suspended matter along the lagoon (Fig. 2B) is indeed likely to impact turbidity leading to a decline in light penetration in the water column in the high salinity area. However, the shallowness of the lagoon, as well as wind mixing and heating convection might prevent light limitation by ensuring sufficient turnover of the water column, as suggested by the absence of vertical stratification observed during our sampling.
Microzooplankton grazing, could also contribute to the observed pattern of autotrophic biomass along the salinity gradient. More specifically, considering the importance of microzooplankton grazing as a source of nutrients recycling in planktonic systems  and the high level of ammonium concentrations observed for salinity greater than 11.0% (Table 1), the sharp decrease in picophytoplankton abundances observed in the same area (Fig. 4A) may then be the result of an increase in grazing pressure. This observation is congruent with previous works reporting high microzooplankton grazing rates for salinity higher than 4.0%  as well as high abundances of heterotrophic nano-flagellates up to the highest salinities (i.e. > 30.0%) [45, 46]. The decrease in chlorophyll a concentrations, representing the size fraction >1.2 μm, observed for salinity higher than 13.0% may also be the result of an increase in grazing pressure by large metazoans consumers, such as the brine shrimps (i.e. Artemia sp.) that were very abundant during the sampling experiment (i.e. 20-50 ind l-1; Seuront, unpublished data) and known to survive up to the highest salinities [41, 47]. Moreover, picophytoplankton population growth is tightly controlled by fast growing protozoans consumers under high nutrients conditions [48, 49] whereas larger cells are temporally and/or locally, protected from predation by slow-growing Metazoa under the same conditions [50, 51]. Therefore the decrease in picophytoplankton abundances and phytoplankton biomass (size fraction>1.2 μm) observed in different part of the lagoon could be explained by a difference in size-related grazing rate along the salinity gradient (Fig. 4). However, further work is needed to fully assess the role of grazing on the distribution of autotrophic organisms along the salinity gradient.
Picophytoplankton abundances and viruses
The peak in picophytoplankton abundance, observed for salinity ranging between 8.0% and 11.0%, was concomitant to the occurrence of the viral population VLP3 in the water column (from 5.0 to 10.0%). This viral population, exhibiting the typical cytometric signature of phytoplankton virus, was only observed in this narrow range of salinity. Considering the strong relationship between virus and their potential hosts, this result suggests a positive correlation between picophytoplankton populations and VLP3. This hypothesis is supported by the result of the BVSTEP analysis (Table 2). In addition, the abundances of VLP3 recorded in the lagoon (1.9 × 106 - 4.3 × 106 VLP ml-1), were in the highest range of concentrations previously reported in marine waters, i.e. >105 VLP ml-1 . This observation suggests an important contribution of viral lysis to picophytoplankton losses in this part of the lagoon. However, as chlorophyll concentrations were also relatively high over this salinity range (8 to 11%), VLP3 could also be infecting the larger fraction (i.e. > 1.2 μm) of the phytoplankton community. While this was beyond the objectives of the present investigation, further work will be needed to specifically assess which fraction of the phytoplankton community was infected by VLP3. Viruses infecting both components of the picophytoplankton community (i.e. cyanobacteria and eukaryotes) have been previously reported [13, 52–54] and the role of viral lysis on picophytoplankton mortality is now well established [e.g. [13, 14]]. However, the importance of phytoplankton viruses under this high salinity conditions has barely been investigated and further work is needed to confirm the identity of this viral population and evaluate the role of phytoplankton viruses along the salinity gradient.
Salinity and picophytoplankton cytometric richness
The picophytoplankton cytometric-richness decreased along the salinity gradient, affecting both prokaryotic and eukaryotic picophytoplankton (Fig. 7). The existence of a decreasing trend in the number of phytoplankton species with increasing salinity has previously been observed in solar salterns ponds [21–23, 41, 42] and hypersaline lakes [24, 55]. More specifically, a decrease in picophytoplankton cytometric-richness with increasing salinity has been reported in Bras del Port salterns .
The most diversified community was observed for salinity lower than 3.5% (Fig. 6). In this habitat, Prochlorococcus and Synechococcus-like populations were abundant and 5 distinct populations of pico-eukaryotes were identified. This high cytometric richness coincided with relatively low total abundance (Fig. 4B). Favourable environmental conditions may have led to the establishment of highly diversified picophytoplankton community in this brackish-marine part of lagoon. In contrast, the number of cytometrically-defined populations was limited under higher salinity conditions (Fig. 6) where the highest abundances were observed (Fig. 4B). More specifically, the peak in picophytoplankton abundances observed for salinity ranging between 8.0% and 11.0% was largely dominated by the pico-eukaryotes P-Eu1 (Fig. 6). This is consistent with previous works reporting the dominance of one population of pico- eukaryote under the same salinity range in solar salterns [21–23] and hypersaline lakes [17, 24]. The existence of a bloom of pico-eukaryotes, observed in such different saline systems suggests that salinity may be the main factor triggering the dominance of pico-eukaryotes over this particular salinity range. This hypothesis is supported by the results of the BIOENV/BVSTEP analysis (Table 2). The pico-eukaryote P-Eu1 may be dominant through a higher tolerance to high salinity and the subsequent decrease in competition within the reduced picoplankton community, may have allowed this salinity-tolerant population P- Eu1 to grow extensively and flourish in this part of the lagoon. The collapse of the pico- eukaryote bloom observed for salinity greater than 11.0% was followed by an increase in Prochlorococcus sp. concentration which contributed to more than 40% of the total abundance for salinity greater than 15.0% (Fig. 5 and 6). This observation is consistent with many studies highlighting the abundance of cyanobacteria under extreme saline conditions [e.g. ]. It is also stressed that this is the first report of a Prochlorococcus-like population in such highly saline habitat. However, further work is therefore needed to confirm the identity of this population
The succession of picophytoplankton was only defined in the present work through their flow cytometric signature. Even if flow cytometry is a powerful tool to investigate the composition of picophytoplankton organisms, further work is needed to identify the species succeeding along the salinity gradient, especially considering the diversity existing among cyanobacteria and pico-eukaryotes . However, our results provide new insight into the effect of salinity on picophytoplankton communities.
Effect of salinity on picophytoplankton community's succession
Salinity has been identified as the main factor triggering the succession of pico-autotrophs along the salinity gradient (BIOENV/BVSTEP analyses, Table 2). Salinity could act directly on picophytoplankton assemblages by selecting groups adapted to life at a particular salt concentration. Cyanobacteria are known to tolerate and acclimate to high salt concentrations . However the different groups of cyanobacteria do not exhibit the same tolerance to salinity stress and have been consequently classified into 3 groups, i.e. stenohaline, halotolerant and extremely halotolerant . The decrease in cyanobacteria abundances for salinity higher than 3.5%, suggests that the populations inhabiting the brackish-marine part of the Coorong may belong to the stenohaline group with a salinity tolerance range characteristic of estuarine and marine populations. Synechococcus species are known to be abundant in transitional and freshwater areas  whereas Prochlorococcus species are thought to be restricted to marine waters . However, the observations of Prochlorococcus-like populations in the Rhône River , in the Changjiang river estuaries  and in the present work in the low-salinity part of the Coorong tend to challenge this hypothesis.
In contrast, the occurrence and predominance of the pico-eukaryote P-Eu1 throughout the salinity gradient, suggest that this population may represent halotolerant organisms. The dominance of halotolerant pico-eukaryotes has been previously described for the same salinity range [17, 23, 24]. In particular, eukaryotic pico-autotrophs have been shown to be responsible for dense blooms in surface water of Mono Lake in California where salinity was around 8.5% . The organism isolated from this lake and identified as a Picocystis spp., has been shown to exhibit high growth efficiency over the 0.2-15.0% salinity range, which is consistent with the range of salinity where the population P-Eu1 was found in the present work. However, this population was identified here through flow cytometry and further work is needed to unambiguously conclude on the identity of this population.
Independent of their intrinsic salinity tolerance, the succession of picophytoplankton organisms along the salinity gradient could be indirectly controlled by salinity. In particular, by controlling the diversity and abundance of microzooplankton and VLP, salinity could exert a control on the top-down processes including grazing and viral lysis. The presence of a large population of phytoplankton virus up to the highest salinity observed in the present work highlights the necessity to investigate the role of viral infection in regulating the community structure of picophytoplankton along this salinity gradient.
Salinity was identified as the main factor controlling the picophytoplankton dynamic along the salinity gradient. However, the variability in nutrients availability as well as the intensity of viral lysis and microzooplankton grazing may have also played an important role in structuring the succession of picophytoplankton communities along the lagoon. The number of cytometrically-defined populations decreased with increasing salinity, affecting both prokaryotic and eukaryotic organisms. Our results also highlight the dominance of one cytometrically-defined population of pico-eukaryote throughout the salinity gradient, which was able to form a large bloom under relatively high salinity conditions (i.e. 8.0-11.0%). This finding stresses the need to further explore the specie and metabolic diversity of these small eukaryotic autotrophs along the salinity gradient.
In the literature, picophytoplankton community dynamics have been mainly described along discontinuous (i.e. solar salterns, hypersaline lakes) or weak salinity gradient. The present study constitutes the first observation of the picophytoplankton dynamics in a system where salinity continuously increased from brackish to hypersaline. Although the spatial dynamic observed here is in accordance with the patterns observed previously, the high abundance of picophytoplankton as well as the existence of a Prochlorococcus-like population in hypersaline waters set this saline lagoon apart from the systems studied previously. However, even if the Synechococcus-like and Prochlorococcus-like populations identified in the present work exhibited the archetypical flow cytometric signature of Synechococcus sp. and Prochlorococcus sp., further work is needed (e.g. genetic fingerprinting) to unambiguously identify these populations. The results obtained in this study provide new insight into the potential effects of salinity gradient and perturbations on phytoplankton community shifts.
Li WKW: Primary production of prochlorophytes, cyanobacteria, and eukaryotic ultraphytoplankton: Measurements from flow cytometric sorting. Limnol Oceanogr. 1994, 39: 169-175.
Vaulot D, Eikrem W, Viprey M, Moreau H: Diversity of small eukaryotic phytoplankton (≤ 3 μm) in marine ecosystems. FEMS Microbiol Rev. 2008, 32: 795-820. 10.1111/j.1574-6976.2008.00121.x.
Worden AZ, Nolan JK, Palenik B: Assessing the dynamics and ecology of marine picophytoplankton: the importance of the eukaryotic component. Limnol Oceanogr. 2004, 49: 168-179.
Chisholm SW: Phytoplankton size. Primary productivity and biogeochemical cycles in the sea. Edited by: Falkowski PG, Woodhead AD. 1992, New York, Plenum Press, 213-237.
Vaquer A, Troussellier M, Courties C, Bident B: Standing stock and dynamics of picophytoplankton in the Thau Lagoon (northwest Mediterranean coast). Limnol Oceanogr. 1996, 41: 1821-1828.
Marie D, Partensky F, Jacquet S, Vaulot D: Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl Environ Microbiol. 1997, 63: 186-193.
Jacquet S, Partensky F, Marie D, Casotti R, Vaulot D: Cell cycle regulation by light in Prochlorococcus strains. Appl Environ Microbiol. 2001, 67: 782-790. 10.1128/AEM.67.2.782-790.2001.
Agawin NS, Duarte CM, Agusti S: Nutrient and temperature control of the contribution of picoplankton to phytoplankton biomass and production. Limnol Oceanogr. 2000, 45: 591-600.
Agawin NS, Duarte CM, Agusti S: Response of Mediterranean Synechococcus growth and loss rates to experimental nutrient inputs. Mar Ecol Prog Ser. 2000, 206: 97-106. 10.3354/meps206097.
Mann EL, Chisholm SW: Iron limits the cell division rate of Prochlorococcus in the eastern equatorial Pacific. Limnol Oceanogr. 2000, 45: 1067-1076.
Worden AZ, Binder BJ: Application of dilution experiments for measuring growth and mortality rates among Prochlorococcus and Synechococcus populations in oligotrophic environments. Aquat Microb Ecol. 2003, 30: 159-174. 10.3354/ame030159.
Hirose M, Katano T, Nakano S-I: Growth and grazing mortality rates of Prochlorococcus, Synechococcus and eukaryotic picophytoplankton in a bay of the Uwa Sea, Japan. J Plankton Res. 2008, 30: 241-250. 10.1093/plankt/fbm101.
Suttle CA, Chan AM: Dynamics and distribution of cyanophages and their effect on marine Synechococcus spp. Appl Environ Microbiol. 1994, 60: 3167-3174.
Lu J, Chen F, Hodson RE: Distribution, isolation, host specificity, and diversity of cyanophages infecting marine Synechococcus spp. in river estuaries. Appl Environ Microbiol. 2001, 67: 3285-3290. 10.1128/AEM.67.7.3285-3290.2001.
Bouvier TC, del Giorgio PA: Compositional changes in free-living bacteria communities along a salinity gradient in two temperate estuaries. Limnol Oceanogr. 2002, 47: 453-470.
Oren A: Microbial life at high salt concentrations: phylogenetic and metabolic diversity. Saline Systems. 2008, 4: 1-13. 10.1186/1746-1448-4-1.
Budinoff CR, Hollibaugh JT: Ecophysiology of a Mono Lake picocyanobacterium. Limnol Oceanogr. 2007, 52: 2484-2495.
Shang X, Zhang LH, Zhang J: Prochlorococcus-like populations detected by flow- cytometry in fresh and brackish waters of the Changjiang Estuary. J Mar Biol Ass UK. 2007, 87: 643-648. 10.1017/S0025315407055191.
Carillo A, Huq P, Pérez MC, Redondo JM: Spatial and temporal variation of picoplanktonic cyanobacteria population in a density stratified estuary, and the introduction of a cellular gradient number. Est Coast Shelf Sci. 2008, 76: 153-162. 10.1016/j.ecss.2007.06.015.
Ayadi H, Abid O, Elloumi J, Bouaïn A, Sime-Ngando T: Structure of the phytoplankton in two lagoons of different salinity in the Sfax saltern (Tunisia). J Plankton Res. 2004, 26: 669-679. 10.1093/plankt/fbh047.
Estrada M, Henriksen P, Gasol JM, Casamayor EO, Pedròs-Aliò C: Diversity of planktonic microorganisms along a salinity gradient as depicted by microscopy, flow cytometry, pigment analysis and DNA-based methods. FEMS Microbiol Ecol. 2004, 49: 281-293. 10.1016/j.femsec.2004.04.002.
Elloumi J, Carrias JF, Ayadi H, Sime-Ngando T, Bouaïn A: Communities structure of the planktonic halophiles in the solar saltern of Sfax, Tunisia. Est Coast Shelf Sci. 2009, 81: 19-26. 10.1016/j.ecss.2008.09.019.
Lewin RA, Krienitz L, Goericke R, Takeda H, Hepperle D: Picocystis salinarium gen. et sp. nov. (Chlorophyta)- a new picoplanktonic grenn alga. Phycologia. 2000, 39: 560-565.
Roesler CS, Culbertson CW, Etheridge SM, Kiene RP, Miller LG, Oremland RS: Distribution, production, and ecophysiology of Picocystis strain ML in Mono Lake, California. Limnol Oceanogr. 2002, 47: 440-452.
Webster W, Ford P, Lamontagne S, Leaney I: Environmental flow requirements for the Coorong, lower lakes and Murray-Mouth. CSIRO Land and Water Situational Analysis. 2004, CSIRO, Adelaide, South Australia
Fofonoff N, Millard RC: Algorithms for computation of fundamental properties of seawater. Marine Science. 1993, UNESCO Technical Papers
Hewson I, O'Neil JM, Fuhrman JA, Dennison WC: Virus-like particles distribution and abundances in sediments and overlaying waters along eutrophication gradients in two subtropical estuaries. Limnol Oceanogr. 2001, 46: 1734-1746.
Brussaard CPD, Kuipers B, Veldhuis MJW: A mesocosm study of Phaeocystis globosa population dynamics. I. Regulatory role of viruses in bloom control. Harmful Algae. 2005, 4: 859-874. 10.1016/j.hal.2004.12.015.
Brussaard CPD, Timmermans KR, Uitz J, Veldhuis MJW: Virioplankton dynamics and virally induced phytoplankton lysis versus microzooplankton grazing southeast of the Kerguelen (Southern Ocean). Deep-Sea Res II. 2008, 55: 752-765. 10.1016/j.dsr2.2007.12.034.
Brussaard CPD: Optimization of procedures for counting viruses by flow cytometry. Appl Environ Microbiol. 2004, 70: 1506-1513. 10.1128/AEM.70.3.1506-1513.2004.
Herbland A, Le Boutellier A, Raimbault P: Size structure of phytoplankton biomass in the Equatorial Atlantic Ocean. Deep Sea Res. 1985, 32: 819-836. 10.1016/0198-0149(85)90118-9.
Strickland JDH, Parsons TR: A practical handbook of seawater analysis. Bull Fish Res Board Can. 1972, 167: 1-311.
Marie D, Partensky F, Vaulot D, Brussaard CPD: Numeration of phytoplankton, bacteria and viruses in marine samples. Current protocols in cytometry Supplement 10. Edited by: Robingson JP, Darzynkiewicz Z, Dean PN, Orfao A, Rabinovitch P, Stewart CC, Tanke HJ, Wheless LL. 1999, New York, John Wiley and Sons Inc, Unit 11.11
Pan LA, Zhang LH, Zhang J, Gasol JM, Chao M: On-board low cytometric observation of picoplankton community structure in the East China Sea during the fall of different years. FEMS Microbiol Ecol. 2005, 52: 243-253. 10.1016/j.femsec.2004.11.019.
Goericke R, Repeta DJ: The pigments of Prochlorococcus marinus: the presence of chlorophyll a and b in a marine Prochlorophyte. Limnol Oceanogr. 1992, 37: 425-433.
Clarke KM, Ainsworth M: A method of linking multivariate community structure to environmental variables. Mar Ecol Prog Ser. 1993, 92: 205-219. 10.3354/meps092205.
Clarke KM, Warwick CK: Quantifying structural redundancy in ecological communities. Oecologia. 1998, 113: 278-289. 10.1007/s004420050379.
Clarke KM, Somerfield PJ, Gorley RN: Testing the null hypothesis in exploratory analyses: similarity profiles and biota-environment linkage. J Exp Mar Biol Ecol. 2008, 366: 56-59. 10.1016/j.jembe.2008.07.009.
Legendre P, Legendre L: Numerical Ecology. Developments in Environmental Modelling. Edited by: Legendre P, Legendre L. 2003, Elsevier Science, Amsterdam
Schapira M, Buscot MJ, Leterme SC, Pollet T, Chapperon C, Seuront L: Distribution of heterotrophic bacteria and virus-like particles along a salinity gradient in a hypersaline coastal lagoon. Aquat Microb Ecol. 2009, 54: 171-183.
Pedrós-Alió C, Calderón-Paz J, MacLean MH, Medina G, Marrasé C, Gasol JM, Guixa-Boixareu N: The microbial food web along salinity gradient. FEMS Microbiol Ecol. 2000, 32: 143-155.
Joint I, Henriksen P, Garde K, Riemann B: Primary production, nutrient assimilation and microzooplankton grazing along a hypersaline gradient. FEMS Microbiol Ecol. 2002, 39: 245-257. 10.1111/j.1574-6941.2002.tb00927.x.
Moore LR, Post AF, Rocap G, Chisholm SW: Utilization of different nitrogen sources by the marine cyanobacteria Prochlorococcus and Synechococcus. Limnol Oceanogr. 2002, 47: 989-996.
Goldman JC, Caron DA, Andersen OK, Dennett MR: Nutrient cycling in a microflagellate food chain: I. Nitrogen dynamics. Mar Ecol Prog Ser. 1985, 24: 231-242. 10.3354/meps024231.
Park JS, Kim HJ, Choi DH, Cho BC: Active flagellates grazing on prokaryotes in high salinity waters of a solar saltern. Aquat Microb Ecol. 2003, 33: 173-179. 10.3354/ame033173.
Choi DH, Cho BC: Idiomarina seosinensis sp. nov., isolated from hypersaline water of a solar saltern in Korea. Int J Syst Evol Microbiol. 2005, 55: 379-383. 10.1099/ijs.0.63365-0.
Toumi N, Ayadi H, Abid O, Carrias J-F, Sime-Ngando T: Zooplankton in four ponds of different salinity: a seasonal study in the solar salterns of Sfax (Tunisia). Hydrobiologia. 2005, 534: 1-9. 10.1007/s10750-004-9356-0.
Ning X, Vaulot D: Estimating Synechococcus spp. growth rates and grazing pressure by heterotrophic nano-picoplankton in the English Channel and the Celtic Sea. Acta Oceanol Sinica. 1992, 11: 255-273.
Ning X, Cloern JE, Cole B: Spatial and temporal variability of picocyanobacteria Synechococcus sp. in San Francisco Bay. Limnol Oceanogr. 2000, 45: 695-702.
Malone TC: Effect of water column processes on dissolved oxygen, nutrients, phytoplankton and zooplankton. Oxygen dynamics in the Chesapeake Bay. A synthesis of recent research. Edited by: Smith DE, Leffler M, Mackiernan G. 1992, Maryland Sea Grant, 61-112.
Riegman R, Kuipers BR, Noordeloos AMM, Witte HJ: Size-differential control of phytoplankton and the structure of plankton communities. Neth J Sea Res. 1993, 31: 255-265. 10.1016/0077-7579(93)90026-O.
Waterbury JB, Valois FW: Resistance to co-occurring phages enables marine Synechococcus communities to coexist with cyanophages abundance in seawater. Appl Environ Microbiol. 1993, 59: 3736-3743.
Cottrell MT, Suttle CA: Dynamics of a lytic virus infecting the photosynthetic marine picoflagellate Micromonas pusilla (Prasinophyceae). App Environ Microbiol. 1995, 61: 3088-3091.
Evans C, Archer SD, Jacquet S, Wilson WH: Direct estimates of the contribution of viral lysis and microzooplankton grazing to the decline of a Micromonas spp. population. Aquat Microbiol Ecol. 2003, 30: 207-219. 10.3354/ame030207.
Herbst DB, Blinn DW: Experimental mesocosm studies of salinity effects on the benthic algal community of a saline lake. J Phycol. 1998, 34: 772-778. 10.1046/j.1529-8817.1998.340772.x.
Stal L: Cyanobacteria. Algae and cyanobacteria in extreme environments. 2007, 11: 659-680. full_text.
Reed RH, Stewart WDP: The responses of cyanobacteria to salt stress. Biochemistry of the algae and cyanobacteria. Edited by: LJ Rogers JRG. 1998, Oxford, Oxford Science Publisher, 217-231.
Powell LM, Bowman JP, Skerratt JH, Franzmann PD, Burton HR: Ecology of a novel Synechococcus clade occurring in dense populations in saline Antarctic lakes. Mar Ecol Prog Ser. 2005, 291: 65-80. 10.3354/meps291065.
Partensky F, Hess WR, Vaulot D: Prochlorococcus, a marine photosynthetic prokaryote of global significance. Microb Molec Biol Rev. 1999, 63: 106-127.
Vaulot D, Partensky F, Neveux JR, Mantoura FC, Llewellyn CA: Winter presence of prochlorophytes in surface waters of the northwestern Mediterranean Sea 1990. Limnol Oceanogr. 1990, 35: 1156-1164.
The authors gratefully acknowledge Dr. S. Bailey from the Flow Cytometry Unit of the Flinders Medical Centre, for providing technical support during the flow cytometry work. This research was supported under Australian Research Council's Discovery Projects funding scheme (project number DP0664681) and by Flinders University. Professor Seuront is the recipient of an Australian Professorial Fellowship (project number DP0988554).
The authors declare that they have no competing interests.
MS conducted the sampling experiment and data analysis and wrote the manuscript. MJB conducted the sampling experiment and ran flow cytometry analyses. TP conducted the sampling experiment. SCL conducted the sampling experiment and data analysis. LS designed the research, conducted the sampling experiment and wrote the manuscript. All authors read and approved the final manuscript.
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Schapira, M., Buscot, MJ., Pollet, T. et al. Distribution of picophytoplankton communities from brackish to hypersaline waters in a South Australian coastal lagoon. Aquat. Biosyst. 6, 2 (2010). https://doi.org/10.1186/1746-1448-6-2