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. 2015 Aug 25;2015:834197. doi: 10.1155/2015/834197

Temperature Effect on Exploitation and Interference Competition among Microcystis aeruginosa, Planktothrix agardhii and, Cyclotella meneghiniana

Andreia Maria da Anunciação Gomes 1,2,*, Sandra Maria Feliciano de Oliveira e Azevedo 1, Miquel Lürling 3,4
PMCID: PMC4561989  PMID: 26380369

Abstract

We studied the effect of temperature (18 and 30°C) on growth and on the exploitation and interference competition of three species: Microcystis aeruginosa (MIJAC), Planktothrix agardhii (PAT), and Cyclotella meneghiniana (CCAP). Coculturing the organisms in batch systems allowed for the examination of both competitive interactions, while the interference competition was studied in cross-cultures. The experiments were done during 10–12 days, and samples were taken for chlorophyll-a analysis, using PHYTO-PAM. The temperature did not influence exploitation competition between MIJAC and other competitors and it was the best competitor in both temperatures. PAT presented higher growth rates than CCAP in competition at 18 and 30°C. The temperature influenced the interference competition. The growth of MIJAC was favored in strains exudates at 30°C, while CCAP was favored at 18°C, revealing that the optimum growth temperature was important to establish the competitive superiority. Therefore, we can propose two hypotheses: (i) different temperatures may results in production of distinct compounds that influence the competition among phytoplankton species and (ii) the target species may have different vulnerability to these compounds depending on the temperature. At last, we suggest that both the sensitivity and the physiological status of competing species can determine their lasting coexistence.

1. Introduction

Species of cyanobacteria are common members of phytoplankton communities in any aquatic environment and some of them can form persistent blooms. These blooms have been associated with anthropogenic eutrophication [1]. To date, there are a several environmental conditions, including nutrient availability and temperature changes, which are being described as important drivers to phytoplankton composition [2]. For example, based on data collected starting in 1996, a shallow tropical eutrophic costal lagoon in Brazil has shown that cyanobacteria can reach up to 90% of the total phytoplankton biomass during some year seasons [3]. However, different species of cyanobacteria, like Microcystis aeruginosa, Planktothrix agardhii, and Aphanizomenon sp., have presented an alternate dominance in this phytoplankton community during high nutrient and elevated temperature periods. Furthermore in lower temperature periods, some diatoms, like Cyclotella meneghiniana and Thalassiosira sp., could be observed (personal data, unpublished).

Competition is a major regulatory factor in population and community dynamics. However, competition among phytoplanktonic groups is not restricted to physical and chemical resources but it also can include an active process involving release of some organic compounds that directly interfere with competitors, which is in accordance with allelopathy definition described by Rice [4]. The role of exploitation competition and allelopathy (interference competition) in aquatic systems has received increasing attention, especially as a potential means of controlling blooms [5]. The best competitor confers advantage over other phytoplankton species in order to occupy a niche. The mechanism of allelochemical action depends on the interaction between the producer species and the target species. The main mechanisms of action described for phytoplankton are photosynthesis inhibition, enzyme inhibition, cell paralysis, inhibition of nucleic acid synthesis, and reactive oxygen species production [6]. On the other hand, the stimulating effects are nutrients or vitamins releases (previously stored by the producer), bioactive secondary metabolites production, and antibacterial and antifungal production that will benefit other phytoplankton organisms [7–9]. Allelochemical production also depends on physiological conditions, and some physical-chemical factors of the environment can influence the allelopathic mechanism, such as nutrient availability, light intensity, pH, and temperature [9–13].

Temperature is among the major determinants which influences phytoplankton growth rates, nutrient stoichiometry, and spatial and temporal distribution in freshwater systems. Many studies report that lower temperatures favor the growth of diatoms, whereas cyanobacteria growth is favored at higher temperatures, showing that the competitive abilities of these organisms differ depending on environmental conditions [1, 2]. The effect of temperature on the physiology of resource use by phytoplankton, including nutrient uptake [14, 15] and the chemical composition of the cells [16, 17], has been discussed during the last decades. Temperature can directly influence the growth of phytoplankton by altering their metabolic processes and nutrient uptake rates [18–20].

Changes in phytoplankton composition in a eutrophic tropical lagoon, studied by our group during the last two decades, have been associated with temperature changes [3]. In order to better understand this relationship, we chose the most representative species from this system to test the temperature effect on exploitation and interference competition among some phytoplanktonic species. Therefore, we studied the effect of two distinct temperatures (18 and 30°C) on growth and competition of two cyanobacteria (M. aeruginosa (MIJAC) and P. agardhii (PAT)) and a diatom (C. meneghiniana (CCAP)).

2. Material and Methods

2.1. Algal Species and Culture Conditions

The effects of temperature on growth and competition between Microcystis aeruginosa (Kützing) Kützing 1846, strain MIJAC-01, Planktothrix agardhii (Gomont) Anagnostidis & Komárek 1988, strain PAT-3, and Cyclotella meneghiniana Kützing 1844, strain CCAP1070/5 were studied in batch cultures. The M. aeruginosa (MIJAC-01) strain was isolated from a shallow eutrophic lagoon, located in southeastern Brazil (Jacarepaguá Lagoon, 22° 55′ S and 43° 17′ W). P. agardhii (PAT-3) was obtained from the Aquatic Ecology and Water Quality Laboratory of Wageningen University and it was isolated from a German water body, and C. meneghiniana (CCAP1070/5) was purchased from Culture Collection of Algae and Protozoa (CCAP). All strains were grown in modified WC- (Woods Hole modified CHU10-) mediums [21], at a light intensity of 60 μmol photons m−2 s−1 using cool white fluorescent light with a regime of 14 h light : 10 h dark. Before the beginning of each experiment, cultures were acclimated to each tested temperature for 10 days. Strains were not axenic, but regular microscopic inspection revealed that biomass of heterotrophic bacteria remained well under 1% of total biovolume.

Mixed cultures of organisms in batch systems allowed for the examination of exploitation and interference competitive interactions, while only interference competition was studied in cross-cultures.

2.2. Temperature Effect on Growth: Monocultures Experiments

In order to evaluate the effect of temperature on growth of different strains, M. aeruginosa (MIJAC), P. agardhii (PAT), and C. meneghiniana (CCAP) were cultivated in modified WC medium under 60 μmol photon m−2 s−1 of light intensity, photoperiod regime of 14 : 10 h (light/dark), and 60 rpm agitation. The experiments were performed in 200 mL Erlenmeyer flasks with a culture medium volume of 100 mL in acclimated incubators at 18, 21, 24, 27, and 30°C. These temperatures were chosen based on minimum and maximum ranges of water temperature averages recorded in aquatic systems from tropical regions. The experiment was run in triplicate, and growth was monitored for 10 days. Chlorophyll-a concentration in each flask was measured daily during experimental period using a PHYTO-PAM phytoplankton analyzer (Heinz Walz GmbH, Effeltrich, Germany).

2.3. Temperature Effect on Competition: Mixed Cultures Experiments

The effect of temperature on competition among species was evaluated with mixed cultures of M. aeruginosa (MIJAC), P. agardhii (PAT), and C. meneghiniana (CCAP) at two different temperatures (18°C and 30°C). The initial biovolume for each species was 107  μm3·mL−1. The mixed cultures were (a) MIJAC + PAT, (b) MIJAC + CCAP, (c) PAT + CCAP, and (d) MIJAC + PAT + CCAP. The monocultures (used as a control) and mixed cultures were performed in triplicate for 12 days. The light intensity (60 μmol photons m−2 s−1), photoperiod (14 h ligth : 10 h dark), and agitation (60 rpm) were controlled. The growth was monitored by chlorophyll-a concentrations, which were measured using the PHYTO-PAM phytoplankton analyzer on alternate days. This equipment can easily discriminate the brown, blue, and green pigments from phytoplankton, and it was used to differentiate between the chlorophyll-a concentration of diatom and cyanobacteria. To monitor the growth of each cyanobacteria strain in mixed culture, we counted the number of cells of each species within the same sample using a hemocytometer (Fuchs-Rosenthal chamber) and then, to estimate the chlorophyll-a concentration from each cyanobacteria strain, we divided the concentration by the number of cells contained in each one. Based on previous experiments, we assumed that MIJAC (M. aeruginosa) and PAT (P. agardhii) strains produced the same concentration of chlorophyll-a per cell.

2.4. Temperature Effects on Interference Competition: Cross-Cultures Experiments

The previous mixed culture experiment implies both exploitation competition and interference competition acting simultaneously. In order to distinguish between both types of possible interactions, monocultures of M. aeruginosa (MIJAC), P. agardhii (PAT), and C. meneghiniana (CCAP) were grown in culture filtrates (exudates) of other species, as well as the mixed culture of these three species (MIJAC + PAT + CCAP) at 18°C and 30°C. They were grown in modified WC-medium batch cultures, at the same culture condition described for the mixed cultures experiment. The initial biovolume of each monoculture and each strain of mixed culture was 5.0 × 107  μm3·mL−1. The final (after 10 days) total biovolume (measured using CASY-counter analyzer) of the three-mixed culture and cell densities of each strain, in mixed culture, are described in Table 1. After 10 days of growth, these cultures were carefully filtered with a 0.2 μm membrane filter (Schleicher & Schell Microscience, Germany) into sterilized filtration systems. Sterilized nutrients were added into exudates at the same concentrations that they are found in the modified WC medium to avoid nutrient limitation; for example, the culture filtrates had an amount of dissolved nitrogen and phosphorus that was not used from the strains after 10 days of cultivation; then, the same nutrient concentration of WC medium was added into these filtrates, representing an overall increase in nutrient concentration. Dissolved nitrogen (nitrite, nitrate, and ammonium) and phosphorus were analyzed in exudate of each monoculture and mixed culture (before the medium reconstruction), following the methodology described in APHA [22]. Dissolved organic and inorganic carbon (DOC and DIC) were also determined in exudates and these values are detailed in Table 2.

Table 1.

Total Biovolume (μm3 mL−1) and Cell density (cell mL−1) of each species in mixed-culture among M. aeruginosa (MIJAC), P. agardhii (PAT) and C. meneghiniana (CCAP), after 10 days of growth.

Culture temperature Total Biovolume (µm3 mL−1) Density (cell mL−1)
MIJAC + PAT + CCAP MIJAC PAT CCAP
18°C 5.8 × 108 2.6 × 106 8.6 × 104 2.4 × 104
30°C 6.1 × 108 3.2 × 105 1.7 × 105 2.0 × 104
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Table 2.

Nutrient concentrations of cells free culture filtrate of M. aeruginosa (MIJAC), P. agardhii (PAT), C. meneghiniana (CCAP) and three culture (MIJAC + PAT + CCAP) at 18°C and 30°C, before and after nutrients replenishment. LOD: level of detection. LOD for NO3 + NO2: 0.01 mg L−1; LOD for PO4: 4 µg L−1; LOD for NH4: 0.02 mg L−1.

Culture TEMP. NUTRIENTS
NO3 + NO2 mg L−1 PO4  µg L−1 NH4 mg L−1 DIC mg L−1 DOC mg L−1
Before After Before After Before After Before After Before After
WC∗   <LOD 16.71 148.83 1220.68 <LOD <LOD 0.90 4.37 0.79 25.33
MIJAC 18°C 11.62 28.79 1034.81 2553.40 0.08 <LOD 9.53 9.06 35.07 53.78
PAT 18°C 13.25 31.62 922.32 2575.71 <LOD <LOD 7.99 8.32 33.80 53.74
CCAP 18°C 14.95 35.18 660.75 2436.57 <LOD <LOD 6.11 10.32 32.57 54.10
MIJAC + PAT + CCAP 18°C 11.96 31.73 707.83 2383.43 <LOD <LOD 7.87 11.32 40.12 60.47
MIJAC 30°C 9.62 27.87 1027.78 1860.03 <LOD <LOD 9.84 13.16 36.41 53.89
PAT 30°C 7.14 27.35 747.02 1809.72 <LOD <LOD 14.80 16.85 35.20 52.66
CCAP 30°C 14.96 33.34 680.70 1620.79 <LOD <LOD 8.86 9.18 31.48 50.76
MIJAC + PAT + CCAP 30°C 3.99 22.57 578.25 2172.73 <LOD <LOD 14.85 14.98 35.27 53.42
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∗WC medium, before—nutrients concentration in deionized water before medium preparation; after—deionized water after nutrients replenishment.

The experimental set was carried out as described below: (a) MIJAC growth on PAT monoculture exudate, (b) MIJAC growth on CCAP monoculture exudate, (c) PAT growth on MIJAC monoculture exudate, (d) PAT growth on CCAP monoculture exudate, (e) CCAP growth on MIJAC monoculture exudate, (f) CCAP growth on PAT monoculture exudate, (g) growth of the three monospecific strains in their own exudates, and (h) each strain growth on MIJAC, PAT, and CCAP mixed culture exudate (the experimental design is in Figure 1). The monoculture of each strain grown in modified WC medium was used as control. The initial biomass of the target strain was 107  μm3·mL−1. The culture condition was the same one described above. The experiments were performed in triplicate and the growth was monitored during 12 days by analyzing the chlorophyll-a concentrations using the PHYTO-PAM phytoplankton analyzer on days 0, 2, 4, 6, 8, 10, and 12.

Figure 1.

Figure 1

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Experimental design of temperature effect on monoculture growth and direct and indirect competition among Microcystis aeruginosa, Planktothrix agardhii, and Cyclotella meneghiniana.

2.5. Data Analysis

Specific growth rates were calculated according to the equation μ = ln(N t − N 0)/Δt, where μ is the growth rate, N 0 and N t are chlorophyll-a concentrations values at the beginning and the end of the exponential phase, respectively, and Δt is the period, in days, of the exponential phase. Δt was checked by the value of the correlation coefficient (r 2) greater than 95%.

A one-way analysis of variance (ANOVA) with temperature (18, 21, 24, 27, and 30°C) as fixed factor was performed in order to test whether temperature affects the growth rate of the monocultures (M. aeruginosa, P. agardhii, and C. meneghiniana) and mixed cultures. ANOVA with culture exudates (M. aeruginosa exudates (Ma exud.); P. agardhii exudates (Pa exud.); C. meneghiniana exudates (Cm exud.); M. aeruginosa + P. agardhii + C. meneghiniana exudates (Ma + Pa + Cm exud.) and WC medium) as fixed factor was used for multiple comparison of cross-culture experiments performed in this study. Post hoc analyses were conducted using Tukey's test and p value <0.05 was considered statistically significant. All of the statistical analysis was performed using SPSS 17.0 statistical program.

3. Results and Discussion

3.1. Temperature Effect on Monocultures

The reasons for seasonal variability in the phytoplankton composition are poorly understood but may include exploitation and interference competition. Collectively, our results suggest that the temperature can affect the growth, exploitation, and interference competition, but the response is dependent on the species. M. aeruginosa was the strongest competitor in all tested conditions. Temperature was not an important factor in M. aeruginosa growth in monocultures. Similar growth rates were observed for M. aeruginosa grown from 18°C to 30°C (Figure 2(a)). Possibly, even lower temperatures could affect the growth rate of this species, as Soares [23] described for M. aeruginosa growing at 12°C. High temperatures also did not increase its growth rate, although some authors have reported that the optimum growth temperature for M. aeruginosa is between 25 and 30°C [1, 24, 25]. On the other hand, P. agardhii growth was favored at higher temperatures and our results do corroborate those of Lürling et al. [25], showing that the optimum growth temperature for P. agardhii is around 27°C (Figure 2(b)). The variation of the C. meneghiniana growth rate in response to temperature is in agreement with the observations found for diatom species. Its growth was favored at lower temperatures (18°C and 21°C; Figure 2(c)). When we observe its distribution in water bodies, actually diatoms dominate the phytoplankton community at lower water temperatures [3, 26]. It is also interesting to observe that in these experimental conditions the highest growth rate among three tested strains was registered for C. meneghiniana.

Figure 2.

Figure 2

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Chlorophyll-a-based growth rate of M. aeruginosa (a), P. agardhii (b), and C. meneghiniana (c) cultured at different temperatures. Different letters represent significant differences at p < 0.05.

3.2. Temperature Effect on Competition: Mixed Cultures Experiments

Temperature also did not have an influence on competition among M. aeruginosa and other competitors. M. aeruginosa was a stronger exploitation/interference competitor (mixed culture) in both temperatures (Figures 3(a), 3(b), 4(a), and 4(b)). Although M. aeruginosa has showed reduced growth rates in the coculture with C. meneghiniana at 18°C, compared with the control (monoculture), it still won the competition. Lower temperatures favored the growth of C. meneghiniana both in monocultures and in mixed cultures, but its growth rate was still lower than that of M. aeruginosa in coculture (Figure 4(a)). P. agardhii inhibited the growth of C. meneghiniana at 18°C (Figure 5(a)) and stimulated it at 30°C (Figure 5(b)). The presence of C. meneghiniana increased the growth rate of P. agardhii at 18°C (Figure 5(a)) and none influence at 30°C was observed. In the three-mixed culture, P. agardhii and C. meneghiniana had their growth rates reduced in both temperatures. On the other hand, the presence of these two competitors did not influence M. aeruginosa growth (Figures 6(a) and 6(b)).

Figure 3.

Figure 3

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Chlorophyll-a-based growth rate of monocultures and mixed cultures of M. aeruginosa (MIJAC) and P. agardhii (PAT) at two different temperatures (18°C and 30°C). Different letters represent significant differences at p < 0.05.

Figure 4.

Figure 4

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Chlorophyll-a-based growth rate of monocultures and mixed cultures of M. aeruginosa (MIJAC) and C. meneghiniana (CCAP) at two different temperatures (18°C and 30°C). Different letters represent significant differences at p < 0.05.

Figure 5.

Figure 5

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Chlorophyll-a-based growth rate of monocultures and mixed cultures of P. agardhii (PAT) and C. meneghiniana (CCAP) at two different temperatures (18°C and 30°C). Different letters represent significant differences at p < 0.05.

Figure 6.

Figure 6

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Chlorophyll-a-based growth rate of monocultures and mixed cultures of M. aeruginosa (MIJAC), P. agardhii (PAT), and C. meneghiniana (CCAP) at two different temperatures (18°C and 30°C). Different letters represent significant differences at p < 0.05.

The competitive success of M. aeruginosa may also be related to its greater ability for nutrients acquisition. Microcystis has mean values of half-saturation constant for phosphorus uptake (Ks) of 0.5 μg P L−1, while Ks (P) for C. meneghiniana is 8 μg P L−1 [27]. It means that M. aeruginosa has higher growth rate than other strains; in addiction, it has a lower requirement for P, which makes this species an excellent competitor. P. agardhii also presented higher growth rate than C. meneghiniana at 18 and 30°C in coculture (Figures 5(a) and 5(b)), and its Ks (P) is 1.0 μg P L−1. Furthermore, Planktothrix has low requirement for light, because it has high phycoerythrin pigment content [27, 28]. The presence of C. meneghiniana also stimulated the growth of P. agardhii at 18°C.

3.3. Temperature Effects on Interference Competition: Cross-Cultures Experiments

Differences in responses of target species suggest that the competitor organisms may produce multiple compounds that vary in their allelopathic potential as a function of species, strains, or even environmental factor [9, 29]. Our study indicated that temperature was also an important factor in the interference competition. The growth of M. aeruginosa was favored by all competitor exudates at 30°C (Figures 7(a) and 7(b)), which is frequently described as its optimum growth temperature [25]. C. meneghiniana was also stimulated by M. aeruginosa, P. agardhii, and three-culture exudates at its optimum growth temperature (18°C; Figures 7(e) and 7(f)). However, M. aeruginosa was not clearly influenced at 18°C and neither C. meneghiniana at 30°C. No pattern of response was observed for P. agardhii (Figures 7(c) and 7(d)). We cannot determine the exact mechanism responsible for stimulatory effect of competitor exudates on M. aeruginosa and C. meneghiniana, but it seems that at their optimum growth temperature, these species can make better use of the available resources. The ability of M. aeruginosa to use better the available resources should explain its competitive superiority, which is supposed to be able to take up organic matter from the extracellular medium and these compounds favor its development. Many phytoplankton species are capable of using dissolved organic compounds [30, 31]. Cyanobacteria produce many bioactive secondary metabolites, which phytoplankton may utilize for their own metabolism [32]. In the study of Carey and Rengefors [7], the cyanobacterium Gloeotrichia stimulated the growth of other phytoplankton, including Microcystis and Cyclotella species. They suggest that the positive effect may be by released nutrients, such as stored phosphorus and nitrogen. In our study, all species exudates had similar nutrient concentration, not justifying different responses (Table 2). Another possibility suggested was antibacterial and antifungal compounds production by cyanobacteria, which may benefit other phytoplankton species [7, 9].

Figure 7.

Figure 7

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Chlorophyll-a-based growth rate of M. aeruginosa, P. agardhii, and C. meneghiniana cross-culture at two different temperatures (18°C and 30°C). Different letters represent significant differences at p < 0.05.

Allelopathic interaction has also been considered more effective in environmental stress condition [11, 33]. Granéli and Johansson [34] observed an increased allelochemicals production by Prymnesium parvum grown under nutrients deficiency. Issa [12] noted that the antibiotic production by cyanobacteria Oscillatoria angustissima and Calothrix parietina was temperature dependent, but biomass independent. In this study, the temperature stress may have induced C. meneghiniana and P. agardhii to produce bioactive compounds which improve M. aeruginosa growth at 30°C. And C. meneghiniana could be favored by temperature stress that M. aeruginosa and P. agardhii suffered at 18°C.

Our results are in contrast with those showed by Mello et al. [35], and even Sukenik et al. [36] and Vardi et al. [37], where Microcystis was inhibited and not stimulated by release of other phytoplankton species. Moreover, in the study of Mello et al. [35], the growth inhibition was observed only in mixed culture exudates, suggesting that the presence of Microcystis induced the release of growth inhibitors in Cylindrospermopsis. The growth inhibitory effect among M. aeruginosa, P. agardhii, and C. meneghiniana was observed only in coculture assays. It means that cell contact should be important to reveal a growth inhibition between phytoplankton species. At least, it makes sense to avoid the cost of releasing compounds when they are not needed [35] or we can suggest that exploitation competition was the most important interaction able to show growth inhibition in our assays. Otherwise, the three-culture exudates never intensified the positive effect on M. aeruginosa at 30°C and neither did C. meneghiniana at 18°C.

4. Conclusion

Temperature could have influenced qualitatively and/or quantitatively compounds within the exudates, inducing different responses. M. aeruginosa exudates at 18°C inhibited P. agardhii and its own growth but stimulated C. meneghiniana. No pattern of response was observed for P. agardhii. Its growth was inhibited by all competitors at 18°C and by M. aeruginosa exudates and its own exudates at 30°C. Therefore, we can propose two hypotheses: (i) different temperatures may result in production of distinct compounds that influence the competition among phytoplankton species and (ii) the target species may have different vulnerability to these compounds depending on the temperature. We suggest that both the sensitivity and physiological status of competing species can determine their lasting coexistence.

At last, our results are consistent with observations from shallow tropical eutrophic lagoon in Brazil, where M. aeruginosa bloom is affected when the temperature decrease to 18°C, and the bloom releasing may stimulate C. meneghiniana. At 30°C, M. aeruginosa bloom is stimulated by other phytoplankton species. Although the mechanism evolved in interference and exploitation competition remains to be elucidated, our data suggest that the effect of temperature in both interactions can be considered as explanation for phytoplankton dynamics.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

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