Abstract
Hydrogen peroxide (H2O2) can be used as an emergency method to selectively suppress cyanobacterial blooms in lakes and drinking water reservoirs. However, it is largely unknown how environmental parameters alter the effectiveness of H2O2 treatments. In this study, the toxic cyanobacterial strain Microcystis aeruginosa PCC 7806 was treated with a range of H2O2 concentrations (0 to 10 mg/L), while being exposed to different light intensities and light colors. H2O2 treatments caused a stronger decline of the photosynthetic yield in high light than in low light or in the dark, and also a stronger decline in orange than in blue light. Our results are consistent with the hypothesis that H2O2 causes major damage at photosystem II (PSII) and interferes with PSII repair, which makes cells more sensitive to photoinhibition. Furthermore, H2O2 treatments caused a decrease in cell size and an increase in extracellular microcystin concentrations, indicative of leakage from disrupted cells. Our findings imply that even low H2O2 concentrations of 1–2 mg/L can be highly effective, if cyanobacteria are exposed to high light intensities. We therefore recommend performing lake treatments during sunny days, when a low H2O2 dosage is sufficient to suppress cyanobacteria, and may help to minimize impacts on non-target organisms.
Keywords: hydrogen peroxide, Microcystis aeruginosa, toxic cyanobacteria, microcystin, photosynthesis
1. Introduction
Cyanobacteria can develop dense blooms in eutrophic lakes and reservoirs [1,2]. Many of the bloom-forming cyanobacteria, such as Microcystis aeruginosa, can produce secondary metabolites that are toxic to plants, invertebrates and vertebrates, including birds and mammals [3,4,5]. Toxic cyanobacteria can also be a human health risk, especially in bathing waters or drinking water supplies [6,7,8]. Consequently, toxic cyanobacterial blooms may interfere with the intake of water by drinking water companies, and lead to the closure of recreational lakes, sometimes with large socioeconomic consequences [9,10,11,12]. In view of the World Health Organization (WHO) guideline value for safe drinking water, it is essential to keep the concentrations of cyanotoxins such as microcystin low [4].
Eutrophication is one of the main driving forces behind the observed increase in cyanobacterial blooms worldwide [1,2,13,14]. Hence, the most sustainable solution to prevent bloom formation of toxic cyanobacteria is a reduction of nutrient inputs, particularly phosphorus (P) and nitrogen (N), into lakes and reservoirs [13,15,16]. However, due to nutrient storage and recycling in lake sediments, it often takes years and sometimes even decades before nutrient reduction efforts become successful [17,18,19]. Measures to reduce nutrient loss from agricultural land and to suppress runoff into surface waters could benefit farmers, and may help to improve the water quality of lakes and reservoirs [20,21,22]. However, the high nutrient demands of areas with extensive agriculture and large cities may remain a major obstacle to reduce nutrient inputs to sufficiently low levels to prevent cyanobacterial blooms.
If any long-term reduction of nutrient loads is not feasible, or has not yet resulted in the suppression of cyanobacterial blooms, emergency methods that can rapidly remove toxic cyanobacteria may be required to avoid problems with the intake of drinking water or bathing prohibitions [10,12,23,24,25]. Several emergency methods have been applied, but many of them have undesirable side effects, as they may involve the addition of metals (e.g., copper, aluminum) or persistent organic chemicals, or may result in the killing of non-target species, all of which severely affect the ecosystem [26,27,28].
Since several years, hydrogen peroxide (H2O2) has been used as an emergency method against cyanobacterial blooms [27,28,29]. H2O2 is a reactive oxygen species (ROS) that can cause oxidative stress and lead to cellular damage when present in sufficiently high concentrations [30,31]. H2O2 is formed naturally in surface waters by photochemical reactions when dissolved organic carbon is exposed to sunlight [32,33]. H2O2 is also produced by biological processes such as the Mehler reaction in eukaryotic photosynthesis [34,35] and a plethora of other metabolic processes [36,37]. In freshwater lakes, H2O2 is mostly degraded enzymatically by organisms [31,38], and also by redox-sensitive metal ions such as iron and manganese [39,40]. Natural H2O2 concentrations in the surface waters of lakes range from 1 to 46 µg/L (30–1570 nM) [33,40,41].
H2O2 selectively suppresses cyanobacteria because of the higher sensitivity of cyanobacteria to oxidative stress compared to eukaryotic phytoplankton [27,42,43,44,45]. The H2O2 concentration required to suppress bloom-forming cyanobacteria is in the range of 1–10 mg/L, depending on the species and environmental conditions [27,45], which range is several orders of magnitude higher than the natural H2O2 concentration in lakes, but below the H2O2 sensitivity threshold of most eukaryotic organisms [27,46,47]. Even though H2O2-degrading enzymes such as peroxiredoxins and thioredoxin-coupled peroxidases are present in cyanobacteria (e.g., Schuurmans et al. [48]), most cyanobacteria lack catalases and ascorbate peroxidases [49,50,51,52]. The lower H2O2 degradation capacity of cyanobacteria compared to eukaryotic algae might be traced back to a key difference in their photosynthetic physiology. Under high light stress, the chloroplasts of eukaryotic algae produce H2O2 in the Mehler reaction [34,35], whereas cyanobacteria use a different Mehler-like reaction involving flavodiiron proteins, where this reaction does not produce H2O2 [53,54,55,56]. As a consequence, eukaryotic phytoplankton tend to be better defended against low concentrations of H2O2 (1–10 mg/L), whereas cyanobacteria suffer severe oxidative damage under these conditions [27,42,43,57].
A key advantage of the use of H2O2 treatments to suppress cyanobacterial blooms is that the added H2O2 degrades to water and oxygen within a few days, and hence does not persist in the lake. However, to avoid oxidative damage to non-target species (e.g., heterotrophic and chemolithotrophic bacteria, zooplankton, macro-invertebrates), it is important to establish how the effectiveness of H2O2 treatments against cyanobacteria can be improved. One of the environmental variables that is likely to influence the effectiveness of H2O2 is light. Drábková et al. [46] investigated exposure of Microcystis aeruginosa to different H2O2 concentrations and found that high light intensities led to a stronger decline of the photosynthetic yield. Mikula et al. [58] reported that a low H2O2 dosage at high light could lead to an even stronger reduction of the photosynthetic yield than a high H2O2 dosage in darkness. However, neither of these studies investigated the effects of H2O2 and light intensity on the cyanotoxin microcystin (MC), which is of key interest in lake management.
Moreover, in addition to light intensity, the underwater light color is also an important environmental variable that is likely to be of interest given the recent changes in water color by lake brownification [59,60,61]. Light color has a major impact on cyanobacterial photosynthesis [62] and hence may also affect the H2O2 treatment.
In this study, we assess how light intensity and light color influence the effectiveness of H2O2 against the microcystin-producing cyanobacterium Microcystis aeruginosa PCC 7806 (further named Microcystis). For this purpose, dense Microcystis cultures were pre-grown in laboratory chemostats provided with a nutrient-rich mineral medium and kept in steady state. Subsequently, samples from these chemostats were treated with a range of H2O2 concentrations exposed to different light intensities and light colors. Lakes with cyanobacterial blooms are often quite turbid (hazy). Therefore, we applied light intensities ranging from 0 to 150 µmol photons·m−2·s−1 as representative light conditions for the top 1–2 m of turbid lakes dominated by cyanobacterial blooms [63,64]. The effectiveness of the H2O2 treatments was evaluated by monitoring several physiological variables, including photosynthetic yield, MC concentrations and cell size. The results provide insight into how H2O2 damages cyanobacterial cells, and they also help to elucidate which light conditions are most suitable for the H2O2 treatment of cyanobacterial blooms in lakes.
2. Results
2.1. Photosynthetic Vitality
The photosynthetic vitality of Microcystis, defined as the photosynthetic yield as percentage of the control treatment, was reduced by the H2O2 treatments (Figure 1A–E; Table S1). The decrease in photosynthetic vitality was accompanied by an increase of F0, followed by an increase of Fm after the first 1–2 h (Figure S1).
The decline of the photosynthetic vitality was strongly dependent on both the H2O2 dosage and the light intensity. H2O2 treatments in the dark had the smallest effect, whereas increasing light intensities strengthened the effect of H2O2 on the photosynthetic vitality. For example, an addition of 10 mg/L H2O2 in the dark caused only a 30% decline in photosynthetic vitality (Figure 1E), whereas the addition of 1 mg/L H2O2 at a light intensity of 150 µmol photons·m−2·s−1 caused a complete decline of the photosynthetic vitality to zero within 2.5 h (Figure 1A).
Dose-response models of the photosynthetic vitality after 4 h were fitted as function of the H2O2 concentration using nonlinear regression (Figure 2). The parameter estimates of the dose–response models are reported in Table S2. Pairwise comparison of the dose–response models using the Akaike Information Criterion corrected for small sample sizes (AICc) showed that the dose–response models differed between the different light intensities (Table S2). In other words, light intensity affected the H2O2 sensitivity of Microcystis. The estimated EC50 values ranged from >10 mg/L in darkness to <1 mg/L at a light intensity of 150 µmol photons·m−2·s−1 (Figure 2; Table S2).
2.2. H2O2 Degradation
H2O2 was slowly degraded during the first 4 h of the experiment, irrespective of light intensity (Figure 1F–J). Degradation rates varied only slightly between the different H2O2 concentrations. In the treatment with 10 mg/L of H2O2 in the presence of Microcystis, the H2O2 concentration had declined to 7.41 ± 0.50 mg/L (mean ± standard deviation (SD); n = 10) after 4 h (Figure 1J). For comparison, in the controls without Microcystis that were provided with 10 mg/L of H2O2, the H2O2 concentration declined only marginally, to 9.92 ± 0.28 mg/L (n = 10) and 9.74 ± 0.26 mg/L (n = 10) after 4 h in Milli-Q water and BG-11 medium, respectively. Hence, H2O2 was degraded significantly faster in the presence than in the absence of Microcystis cells (Student’s t-test of treatment vs control in BG-11 medium: t = 20.3, df = 9, p < 0.001).
2.3. Microcystin Concentrations
The total MC concentration, as well as the proportion of MC in the cells (intracellular MC), and in the water phase (extracellular MC), was strongly affected by both the H2O2 dosage and light intensity (Figure 3). After 24 h exposure to H2O2 in the dark, the intracellular MC of Microcystis cells had decreased only slightly, and the extracellular MC concentration was only a minor fraction of the total MC concentration, even at the highest H2O2 dosage of 10 mg/L (Figure 3A). The intracellular MC had increased in Microcystis cells treated with 0 and 1 mg/L of H2O2 at 15 µmol photons·m−2·s−1 (Figure 3B). Most likely, oxidative stress at this low light level and H2O2 dosage was minimal, which enabled cell growth, and hence an increase of the MC concentration during the 24-h incubation. In contrast, hardly any intracellular MC could be detected after 24 h, and most MC ended up in the extracellular MC pool when Microcystis cells were treated with ≥4 mg/L H2O2 at 15 µmol photons·m−2·s−1 (Figure 3B), or when they were treated with ≥2 mg/L H2O2 at 100 µmol photons·m−2·s−1 (Figure 3C).
In those H2O2 treatments where the intracellular MC disappeared, the extracellular MC concentration measured after 24 h of H2O2 exposure did not reach the total MC concentration of the Microcystis cultures prior to H2O2 exposure. This indicates that part of the MC was lost or not recovered by our analysis.
As a control, we exposed pure MC-LR in BG-11 medium, but without Microcystis cells to the different H2O2 and light treatments. The results showed that pure MC-LR was hardly degraded by H2O2 irrespective of the light conditions; the MC-LR concentration declined by, on average, less than 1.5% after 24 h (Figure S2).
2.4. Biovolume, Cell Size and Cell Counts
Cell numbers increased during the 24-h time span of our experiments when Microcystis was grown in the light at 0 and 1 mg/L H2O2, whereas cell numbers remained constant for all H2O2 treatments in the dark and for cells exposed to ≥2 mg/L H2O2 in the light (Figure 4A–C). The constant cell numbers in the treatments exposed to ≥2 mg/L H2O2 indicate that these cells had ceased growth, but did not disintegrate during the 24-h experiments of this study, as confirmed by a microscopic inspection of the samples. Interestingly, the diameter of Microcystis cells was slightly reduced when they were exposed to ≥2mg/L H2O2 in the light (Figure 4D–F). As a consequence of the observed changes in cell numbers and cell size, the total biovolume of Microcystis grown in the light was much higher at 0 and 1 mg/L H2O2 than at ≥2 mg/L H2O2 (Figure 4G–I).
2.5. Light Color
Light color also affected the response of Microcystis cells to H2O2 (Figure 5). Orange light (630 nm) is mostly absorbed by phycocyanin in the phycobilisomes of Microcystis. H2O2 exposure in orange light consistently resulted in the strongest decline of the photosynthetic vitality, irrespective of the H2O2 dosage and light intensity. Blue light (450 nm) is absorbed by Chl a in the photosystems and by carotenoids. H2O2 exposure in blue light consistently had the weakest effect of the four colors investigated. For example, in orange light of 50 µmol photons·m−2·s−1 the addition of 2 mg/L H2O2 was sufficient to cause a complete collapse of the photosynthetic vitality (Figure 5B), whereas in blue light of the same light intensity even exposure to 5 mg/L H2O2 did not result in a complete decline of the photosynthetic vitality (Figure 5D). Green light (530 nm) and far-red light (730 nm) are less absorbed by the photosynthetic pigments of Microcystis cells than orange and blue light. The response of the photosynthetic vitality to H2O2 addition in green and far-red light was intermediate between the response in orange and the response in blue light.
3. Discussion
3.1. Light Enhances Effectiveness of H2O2
Suppressing cyanobacteria in lakes with H2O2 should be done with a concentration that is effective against cyanobacteria, but minimizes harmful effects to nontarget organisms such as zooplankton [27]. Our study shows that environmental conditions can influence the effectiveness of H2O2 treatments. Specifically, our results demonstrate that the H2O2 effectiveness against cyanobacteria is drastically enhanced at high light intensities. Even a very low H2O2 concentration of 1 mg/L, which hardly showed any effect at darkness or low light, was fatal to Microcystis under high light conditions. Consequently, days of long and intense sunshine should be selected to enhance the efficiency when treating cyanobacteria in lakes.
Possibly, preconditioning to high light may improve the defense of cyanobacteria against oxidative stress, and thereby may have an effect on the sensitivity of Microcystis to H2O2. For instance, previous exposure to high light influenced the response of the marine cyanobacterium Synechococcus sp. WH7803 to oxidative stress [65]. Furthermore, experiments with Microcystis PCC 7806 have shown that exposure to oxidative stress leads to a binding of microcystins to proteins to protect them against oxidative stress [66], and triggers the production of anti-oxidant enzymes such as peroxiredoxins and peroxidases [48].
However, the Microcystis cultures of our study were pre-grown at relatively low light intensities (~15 μmol photons·m−2·s−1), yet the observed sensitivity to H2O2 was similar as in Mikula et al. [58] and Lürling et al. [67], who cultured Microcystis at higher light intensities of 140 µmol photons·m−2·s−1 and 100 µmol photons·m−2·s−1, respectively. Moreover, Drábková et al. [46] specifically tested if pre-conditioning to high light intensities of the same Microcystis strain as in our study influenced its H2O2 sensitivity, but then concluded that this was not the case.
3.2. Damage Caused by H2O2
Why is H2O2 more effective against cyanobacteria at high light intensities? How H2O2 damages cyanobacterial cells is not yet completely understood. It is known that H2O2 damages the D1 protein [68]. The D1 protein is part of the reaction center of photosystem II (PSII), and is in direct contact with the oxygen-evolving manganese cluster. The D1 protein and PSII are commonly damaged by light absorption, even in the absence of reactive oxygen species (ROSs) [69]. This damage can be remedied because the D1 protein has a very high turnover rate, and under modest light conditions the repair of PSII is faster than the damage rate, so that photoinhibition can usually be avoided [65,70]. However, H2O2 may cause aggregation of the D1 proteins [68] and it also disrupts the D1 repair mechanism [71,72,73], which makes cells more sensitive to photoinhibition. Moreover, this interactive effect between H2O2 and photoinhibition will be stronger at high light intensities, in agreement with our observations.
Similar to previous studies, the effectiveness of H2O2 addition was assessed by measurements of the photosynthetic yield using PAM fluorometry (e.g., [27,45,46,58]). The photosynthetic yield reflects the efficiency of photosynthetic electron transport at PSII, and hence will be very sensitive to the damage of PSII and the D1 protein induced by H2O2. The photosynthetic yield is derived from two fluorescence values, F0 and Fm [74,75]. F0 is the minimum fluorescence of a dark-adapted culture, which can be interpreted as the background fluorescence when the reaction centers of PSII are “open”. Fm is the maximum fluorescence measured after a saturating light pulse when all reaction centers of PSII are “closed”, and thus, no further electrons can be accepted and all additional energy is dissipated as heat and fluorescence [75]. Accordingly, an increase in damaged D1 proteins is expected to reduce the amount of open reaction centers, which will increase F0 and consequently will reduce the photosynthetic yield. This was indeed observed in our study (Figure S1).
Our observation that H2O2 had a stronger effect on the photosynthetic yield in orange light (630 nm) than in the more energetic blue light (450 nm) indicates that the damaging effect of H2O2 is linked to the absorption of light by different photosynthetic pigments. While Chl a and carotenoids are responsible for absorption of blue light, the chromophore phycocyanobilin in the phycobilisomes of Microcystis absorbs orange light. Luimstra et al. [62,76] investigated the effect of orange and blue light on cyanobacterial photosynthesis, and found that orange light leads to much higher rates of oxygen production by PSII than blue light. They hypothesized that the reason for this difference in oxygen evolution rates is caused by the way orange and blue light are distributed over PSI and PSII. More specifically, cyanobacteria have much more of their Chl a in PSI than in PSII, and hence, blue light is mostly transferred to PSI [62,77,78,79]. Conversely, most phycobilisomes are attached to PSII under normal growth conditions (e.g., [62,80]), and hence the absorbed orange light is mostly transferred to PSII. As a result, the relative amount of light energy that arrives at PSII, where H2O2 damages the D1 protein, is highest in orange light and lowest in blue light.
In addition to the effects of H2O2 on photosynthesis, H2O2 and other reactive oxygen species (ROSs) may also cause further cellular damage [30,81]. Our H2O2 treatments caused bleaching of Microcystis, but did not result in a complete disintegration of the cells, as cell counts were stable throughout the 24-h experiments of this study, as well as in the 120-h experiments of Schuurmans et al. [48]. However, cell sizes of Microcystis and therefore also the total cyanobacterial biovolume were negatively affected by the H2O2 treatments. The decrease in cell size is likely caused by a leakage of the cellular contents.
Several studies found that cells open and die upon H2O2 exposure, as shown by SYTOX staining of cells with damaged cell membranes [58], electron microscopy [68,82,83] and measurement of K+ release [83], as well as caspase-3-like activity as a trigger for programmed cell death [82,83]. Perforation of the cell membrane would also explain the release of intracellular MC, as observed in our study and several previous studies [67,84,85].
3.3. Microcystin Dynamics
The decrease of intracellular MC induced by the H2O2 treatments of ≥2 mg/L H2O2 at 15 and 100 µmol photons·m−2·s−1 was accompanied by a parallel increase of extracellular MC (Figure 3). Yet, the total MC concentration (i.e., the sum of intracellular and extracellular MC) prior to H2O2 addition could not be recovered within 24 h after H2O2 addition, a phenomenon also observed by Lürling et al. [67] and Schuurmans et al. [48]. The disappearance of MC cannot be attributed to H2O2-mediated degradation of MC, since pure MC in BG-11 medium was hardly degraded by H2O2 (Figure S2). However, it is known that MC binds to proteins when cells are exposed to oxidative stress, for instance, by H2O2 addition [66]. Protein-bound MC is not methanol extractable, and hence will not be detected by the standard methods of MC analysis [86]. In other words, most likely, some part of the MC was temporarily bound to cellular proteins in response to the oxidative stress induced by H2O2 [66], and therefore was no longer visible in our analysis. Schuurmans et al. [48] showed that 120 h after H2O2 addition, the total extracellular MC concentration approached the total intracellular MC at the start of the experiments, which indicates that the protein-bound MC was gradually released in the mineral medium after further disintegration of the cells.
The fate of released MC is of relevance for the application of H2O2 treatments in lakes and drinking water reservoirs. The absence (or near absence) of bacteria capable of the microbial degradation of MC explains why extracellular MC concentrations remained relatively high after H2O2 addition in our laboratory experiments. In contrast, aquatic microbial communities of lakes and sediments can break down MC released by cyanobacterial blooms [87,88,89,90]. While new pathways for bacterial MC degradation are still being discovered [91,92,93], recent studies have shown that complete MC degradation in the field can occur within a few days [94,95,96]. This is consistent with the lake treatment of Matthijs et al. [27], where MC disappeared in 1–2 days after H2O2 addition. In addition, H2O2 treatments supplemented with the MC-degrading enzyme Mlr-A can further enhance the degradation of MC released by lysing cyanobacteria [97]. Whether interactions between H2O2 and high light intensities affect this microbial degradation of MC is an interesting open question that may deserve further attention in future studies.
3.4. Implications for Lake Treatments
Our results show that light enhances the toxicity of H2O2 for cyanobacteria, as H2O2-treated cells exposed to higher light intensities have lower photosynthetic yields, shrink in size, and release MC. One might argue that light intensities in our laboratory experiments (≤150 µmol photons·m−2·s−1) were much lower than the incident sunlight at the surface of lakes during sunny days (up to 2000 µmol photons·m−2·s−1; e.g., [64]). However, light intensities at the lake surface can be lowered by ~90% due to cloud cover, and decrease rapidly with depth depending on the transparency of the lake [98]. Bloom-forming cyanobacteria often become dominant in relatively turbid lakes, and cyanobacterial blooms themselves even further reduce the transparency, such that light intensities ≤150 µmol photons·m−2·s−1 are reached within the first 1–2 m, and sometimes within the first few decimeters, of the water column even during sunny days (e.g., [63,64]). Hence, the range of light intensities applied in our study are highly relevant for many cyanobacterial blooms.
In stagnant waters under calm weather conditions, however, buoyant cyanobacteria such as Microcystis spp. may float upwards to the surface and form dense surface scums [2,99]. In this case, the top layer of the scum will be exposed to full sunlight and may suffer from severe photoinhibition [100].
Extrapolation of our results suggests that interference of H2O2 with the D1 repair mechanism is expected to lead to an even stronger suppression of the PSII activity at these high light intensities. This is supported by studies at Lake Taihu and Lake Dianchi, in China [101,102], where these interactive effects between H2O2 and light intensity were observed in samples taken from cyanobacterial blooms. In these studies, the samples were transferred to beaker glasses, exposed to H2O2 and placed in full sunlight, which resulted in a much stronger reduction of the photosynthetic yield, compared to control samples that were placed in the dark or shaded.
Light intensity did not have a major effect on the degradation rate of H2O2 in our laboratory experiments. However, degradation of H2O2 in lakes is usually much faster than the low H2O2 degradation rates in our axenic Microcystis cultures [27]. In lakes, anti-ROS enzymes of the microbial community, including bacteria as well as eukaryotic phytoplankton, and oxidation–reduction reactions with organic matter and metal ions are largely responsible for the degradation of H2O2 [38,41,45]. Furthermore, photochemical production of H2O2 and H2O2-mediated photodegradation of organic matter are known to have major impact on the H2O2 dynamics in lakes [38,40]. Hence, contrary to our lab experiments, light intensity may affect H2O2 degradation in lakes, which may influence the exposure time of cyanobacteria to the H2O2 treatment.
Our results show that light color has an effect as well, as Microcystis was more sensitive to H2O2 in orange than in blue light. These results may imply that it can be difficult to effectively suppress an upcoming cyanobacterial bloom in clear, blue lakes. In most cases, however, cyanobacterial blooms occur in more turbid lakes, where green or orange-red light often dominates the underwater light field [61]. In particular, lakes with relatively high concentrations of dissolved organic carbon (DOC) tend to be predominated by orange wavelengths that are effectively captured by the phycocyanobilin-pigments of bloom-forming cyanobacteria [62,103]. For example, Stomp et al. [104] reports that Lake Groote Moost, a turbid peat lake with high DOC concentrations, is characterized by an orange-red underwater spectrum, and is often dominated by cyanobacterial blooms. Although the high turbidity of these peat lakes reduces the overall light intensity, the remaining orange underwater color may still provide a suitable light spectrum to effectively suppress cyanobacterial blooms with H2O2.
Extrapolation of our laboratory results to lake conditions can help optimizing H2O2 treatments of cyanobacterial blooms. Our results imply that lake treatments would require less H2O2 on sunny days than on cloudy days. Similarly, lake treatments will be much more effective when H2O2 is administered during daytime than in the evening or at night. Furthermore, depending on the transparency of the water column, a surface bloom could be treated with a lower H2O2 concentration than a bloom located deeper in the water column or near the thermocline. Treating cyanobacterial blooms with H2O2 under the most effective light conditions may help to reduce the dosage, and hence the cost of the treatment, and may diminish potential side effects on other organisms.
4. Materials and Methods
4.1. Chemostat Cultures
The axenic strain Microcystis aeruginosa strain PCC 7806 was kindly provided by the Pasteur Culture Collection (Paris, France). Microcystis was pre-cultured in four chemostats specially designed for phytoplankton growth [105] to ensure that all Microcystis experienced the same growth conditions prior to the hydrogen peroxide (H2O2) experiments. Once the chemostats reached steady state, samples from the chemostats were transferred to batch culture experiments with H2O2 additions as described below.
Each chemostat consisted of a flat culture vessel that was illuminated from one side by white fluorescent tubes (Philips Master TL-D 90 De Luxe 18 W/965; Philips Lighting, Eindhoven, The Netherlands). The incident irradiance (Iin) was set at 15 μmol photons·m−2·s−1 measured with a LI-COR LI-250 quantum photometer (LI-COR Biosciences, Lincoln, NE, USA). Microcystis was cultured in the nutrient-rich BG-11 medium [106] with 10 mmol/L NaNO3. The dilution rate of the chemostats was set at 0.01 h−1.
The chemostats had an optical path length of 5 cm and an effective working volume of approximately 1.8 L. The temperature in the chemostats was maintained at 25 °C using stainless steel cooling fingers connected to two water baths (Haake A28F/AC200; Thermo Fisher Scientific, Pittsburgh, PA, USA). This temperature is representative for surface waters dominated by cyanobacterial blooms during warm summers at our latitude [64,107]. The chemostats were aerated with pressurized air containing 400 ppm CO2 at a flow rate of 30 L/h, as described by Sandrini et al. [108].
Regular microscopical observations of chemostat samples did not reveal contamination with other photosynthetic organisms. Although the chemostats were started with axenic cultures of Microcystis, we could not prevent contamination by a few heterotrophic bacteria during the chemostat experiments. At the end of the experiments, the number of heterotrophic bacteria in the samples was <<5% of the total cell counts.
4.2. H2O2 Toxicity Tests in Batch Cultures
To expose Microcystis to different concentrations of H2O2, 250 mL samples from the four steady-state chemostats were mixed and diluted with ~2000 mL sterile BG-11 mineral medium to reach a total Microcystis biovolume of 100 mm3/L in 3 L of mineral medium. This stock culture was used to carry out batch culture experiments in 12 Nalgene plastic bottles (Thermo Fisher Scientific, Pittsburgh, PA, USA) of 250 mL each and without lids. Each bottle received 200 mL of culture and was aerated with compressed air. The temperature was maintained at 25 °C using stainless steel cooling fingers connected to a water bath. H2O2 concentrations added to the batch cultures of Microcystis were 0, 1, 2, 4, 6 and 10 mg/L. Each H2O2 treatment was performed in duplicate. In addition, 10 mg/L of H2O2 was added to two plastic bottles with sterilized BG-11 medium and two plastic bottles with Milli-Q water (Merck KGaA, Darmstadt, Germany), but without Microcystis, to serve as controls for the degradation rate of H2O2 without cells.
We repeated this experiment five times, each time at a different light intensity. The time interval between experiments at different light intensities was about two weeks, to enable recovery of the chemostats to steady state after sampling. Light was provided by white fluorescent tubes (Philips Master TL-D 90 De Luxe 18 W/965, Philips Lighting, Eindhoven, The Netherlands) with incident light intensities of 0, 15, 50, 100 and 150 µmol photons·m−2·s−1 set by neutral density filters (LEE Filters, Andover, UK) and the distance between the fluorescent tubes and batch cultures. This range of light intensities is commonly found in the first 1–2 m of turbid lakes dominated by cyanobacteria [63,64]. The light spectrum of the white fluorescent tubes covers the entire range of photosynthetically active radiation (PAR, 400–700 nm), but differs somewhat from sunlight, as it has several distinct peaks at, e.g., 435, 489, 545, 589 and 612 nm.
Samples (5 mL) were taken just before adding H2O2, immediately after adding H2O2, and every half hour after adding H2O2 for a total of 4 h for the analysis of the photosynthetic vitality and H2O2 concentration. Furthermore, 5 mL samples were taken just before adding H2O2 and 24 h after adding H2O2 for analysis of MC concentrations and cell numbers. Cell numbers and cell volumes were determined using a Casy 1 TTC cell counter with a 60 μm capillary (Schärfe System GmbH, Reutlingen, Germany). Cell size was calculated from cell volume assuming a spherical shape of the cells.
4.3. Photosynthetic Vitality
The 5 mL samples were filtered using 1.2 μm pore size 25 mm GF/C filters (Whatman GmbH, Dassel, Germany) placed on a Millipore 1225 Sampling Manifold (Merck KGaA, Darmstadt Germany). The cells on the filters were dark-adapted for 5 min by covering the filters with rubber stoppers on the Millipore filtration unit. The potential photosynthetic yield of the cells was determined using a Mini-PAM fluorometer (Walz, Effeltrich, Germany). The instrument was equipped with an 80 cm long glass fiber cable, mounted in a rubber stopper of the Millipore filtration unit.
After dark adaptation, the rubber stoppers were exchanged with the rubber stopper with the glass fiber cable and the fluorescence measurements were started. The photosynthetic yield (, also known as the quantum yield of PSII electron transport) was calculated according to Genty et al. [109]:
(1) |
where F0 and Fm are the minimum and maximum fluorescence, respectively. The photosynthetic vitality is defined as the photosynthetic yield of cells treated with H2O2 as a percentage of the photosynthetic yield of cells from control samples not exposed to H2O2.
4.4. Dose-Response Models
The photosynthetic vitality (PV) was described as function of the added H2O2 concentrations, according to the following logistic dose–response model:
(2) |
where A is the estimated EC50 value (i.e., the H2O2 concentration at which PV is 50%), B is the slope of the dose–response model and C is the photosynthetic vitality of the control samples not exposed to H2O2 (i.e., C was set to 100%). The parameters A and B of the dose–response model were estimated by fitting the model to the photosynthetic vitality measured after 4 h using nonlinear regression, which minimizes the residual sum of squares using an iterative Levenberg–Marquardt algorithm.
First, a dose–response model was fitted for each light intensity separately. Subsequently, we applied a pairwise comparison to test whether the PV data of two adjacent light intensities is best described by these two separate dose–response models, or by a single dose–response model that captures the PV data of both light intensities. Model selection was based on the Akaike Information Criterion (AIC). More specifically, we used a modified version of the AIC known as the AICc, which corrects for small sample size according to:
(3) |
where k is the number of parameters, n the number of data points and RSS the residual sum of squares of the model. Accordingly, k = 4 if the PV data of two adjacent light intensities can best be described by two separate dose–response models, whereas k = 2 if a single dose–response model can be used. The approach with the smaller AICc value better describes the data.
4.5. Hydrogen Peroxide Analysis
Filtrates obtained from the filtered samples (see Section 4.3) were used for analysis of the H2O2 concentration. A small amount of filtrate (100 μL) was mixed with 100 μL of 2 mmol/L p-nitrophenylboronic acid reagent (Merck KGaA, Darmstadt, Germany) in a 96-well microtiter plate according to Lu et al. [110]. H2O2-dependent formation of p-nitrophenolate at room temperature was complete in 30 to 45 min, and the color remained stable for several hours. Absorption was measured at the absorption peak of p-nitrophenolate (405 nm) using a SPECTROstar Nano plate reader (BMG Labtech GmbH, Ortenberg, Germany). A calibration curve for H2O2 concentrations ranging from 0.01–10 mg/L was generated using a 33% (w/w) stock solution of H2O2 (VWR, Amsterdam, The Netherlands). For each filtrate, the H2O2 concentration was measured in quadruplicate. Pilot experiments showed that losses of H2O2 by the filtration procedure were <1%.
4.6. Microcystin Analysis and Degradation
To determine cellular MC contents and the MC concentrations in the water phase, the cells on the filters (defined as intracellular MC) and in the filtrates (extracellular MC) were stored at −20 °C and subsequently freeze-dried. The freeze-dried samples were resuspended, and MC was extracted in 1 mL of 75% MeOH according to Tonk et al. [111] and analyzed using high performance liquid chromatography (HPLC) according to Van de Waal et al. [112], using a Shimadzu LC-20AD HPLC system with a SPD-M20A photodiode array detector (Shimadzu, Kyoto, Japan). Microcystis PCC 7806 produces two MC variants, [Asp3]MC-LR and MC-LR [113], but peaks of the two MC variants could not be completely separated. Therefore, both peaks were summed and are referred to as MC in the following sections.
To investigate potential degradation of pure MC-LR by H2O2, this pure MC-LR (ENZO Life Science BVBA, Brussels, Belgium) was dissolved in 100% MeOH and diluted with BG-11 medium to a final concentration of ~230 µg/L of MC-LR in a total volume of 1.5 L. Subsequently, 100 mL samples were taken and exposed to different H2O2 concentrations at different light intensities using the same set-up as for the batch culture experiments described in Section 4.2.
4.7. Effect of Light Color
Microcystis samples were diluted to OD750 = 0.3 with freshly made, sterile BG-11 medium, and subsequently 3 mL aliquots were transferred to 12-well plates. We used a total of eight plates that were exposed to two different light intensities (5 or 50 µmol photons·m−2·s−1) of either blue light (450 nm), green light (530 nm), orange light (630 nm) or far red light (730 nm) provided by custom-made light emitting diode (LED) light panels (Technology Centre, University of Amsterdam, The Netherlands in collaboration with Philips Lightning B.V., Eindhoven, The Netherlands). The light spectra of the LEDs had a full width at a half maximum of ~20 nm, as confirmed with a RAMSES-ACC-VIS spectroradiometer (TriOS, Oldenburg, Germany). Light intensities were measured with a LI-COR LI-250 quantum photometer (LI-COR Biosciences, Lincoln, NE, USA).
On each 12-well plate, four wells served as control (0 mg/L H2O2), four other wells received 2 mg/L H2O2 and the four remaining wells received 5 mg/L H2O2. The photosynthetic vitality of the Microcystis cultures in the well-plates was monitored through the bottom glass of the wells for the first 4 h after H2O2 addition with a PAM fluorometer, as described in Section 4.3.
Acknowledgments
We are most grateful to our late colleague Hans Matthijs for initiating this research. We thank Pieter Slot for assistance with the MC analysis, and Nabila Al Habid, Wouter van der Hoeven, Quinten Mattijs, and Marieke Stuijt for help with the color experiments.
Supplementary Materials
The following are available online at https://www.mdpi.com/2072-6651/12/1/18/s1, Figure S1: Effects of light intensity on minimum fluorescence (F0) and maximum fluorescence (Fm) after addition of different H2O2 concentrations, Figure S2: Pure microcystin-LR (MC-LR) concentrations 24 h after addition of different H2O2 concentrations at three different light intensities, Table S1: Photosynthetic yield (Fv/Fm) during the first 4 h after addition of different H2O2 concentrations and exposure to different light intensities, Table S2: Parameter estimates of the dose-response models.
Author Contributions
Conceptualization, T.P., G.S., J.M.S., J.H. and P.M.V.; investigation, T.P., G.S., E.W. and T.X.; formal analysis, T.P. and G.S.; writing—original draft preparation, T.P., G.S. and E.W.; writing—review and editing, T.P., G.S., T.X., J.M.S., J.H. and P.M.V.; supervision, J.H. and P.M.V. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the DUTCH RESEARCH COUNCIL (NWO), grant number NWO/TTW 14005.
Conflicts of Interest
The authors declare that they have no conflict of interest.
Key Contribution
H2O2 is more effective against cyanobacteria at high than at low light, and also more effective in orange than in blue light, due to its damaging effect on photosystem II. Consequently, H2O2 treatments of lakes will be most effective on sunny days.
References
- 1.O’Neil J.M., Davis T.W., Burford M.A., Gobler C.J. The rise of harmful cyanobacteria blooms: The potential roles of eutrophication and climate change. Harmful Algae. 2012;14:313–334. doi: 10.1016/j.hal.2011.10.027. [DOI] [Google Scholar]
- 2.Huisman J., Codd G.A., Paerl H.W., Ibelings B.W., Verspagen J.M.H., Visser P.M. Cyanobacterial blooms. Nat. Rev. Microbiol. 2018;16:471–483. doi: 10.1038/s41579-018-0040-1. [DOI] [PubMed] [Google Scholar]
- 3.MacKintosh C., Beattie K.A., Klumpp S., Cohen P., Codd G.A. Cyanobacterial microcystin-LR is a potent and specific inhibitor of protein phosphatases 1 and 2A from both mammals and higher plants. FEBS Lett. 1990;264:187–192. doi: 10.1016/0014-5793(90)80245-E. [DOI] [PubMed] [Google Scholar]
- 4.Chorus I., Bartram J. Toxic Cyanobacteria in Water: A Guide to Their Public Health Consequences, Monitoring and Management. E & FN Spon; London, UK: 1999. [(accessed on 15 October 2019)]. Available online: https://www.taylorfrancis.com/books/9780429178450. [Google Scholar]
- 5.Meriluoto J., Spoof L., Codd G.A. Handbook of Cyanobacterial Monitoring and Cyanotoxin Analysis. John Wiley & Sons, Ltd.; Chichester, UK: 2017. [(accessed on 15 October 2019)]. Available online: https://books.google.com.ph/books?hl=en&lr=&id=uq6GDQAAQBAJ&oi=fnd&pg=PA17&dq=Handbook+of+Cyanobacterial+Monitoring+and+Cyanotoxin+Analysis&ots=LuXtVi6FqO&sig=VfmOcfWMTrP9Jxk9Q87N3VD9EzY&redir_esc=y#v=onepage&q=Handbook%20of%20Cyanobacterial%20Monitoring%20and%20Cyanotoxin%20Analysis&f=false. [Google Scholar]
- 6.Jochimsen E.M., Carmichael W.W., An J., Cardo D.M., Cookson S.T., Holmes C.E.M., Antunes M.B., de Melo Filho D.A., Lyra T.M., Barreto V.S.T., et al. Liver failure and death after exposure to microcystins at a hemodialysis center in Brazil. N. Engl. J. Med. 1998;338:873–878. doi: 10.1056/NEJM199803263381304. [DOI] [PubMed] [Google Scholar]
- 7.Codd G.A., Morrison L.F., Metcalf J.S. Cyanobacterial toxins: Risk management for health protection. Toxicol. Appl. Pharm. 2005;203:264–272. doi: 10.1016/j.taap.2004.02.016. [DOI] [PubMed] [Google Scholar]
- 8.Carmichael W.W., Boyer G.L. Health impacts from cyanobacteria harmful algae blooms: Implications for the North American Great Lakes. Harmful Algae. 2016;54:194–212. doi: 10.1016/j.hal.2016.02.002. [DOI] [PubMed] [Google Scholar]
- 9.Dodds W.K., Bouska W.W., Eitzmann J.L., Pilger T.J., Pitts K.L., Riley A.J., Schloesser J.T., Thornbrugh D.J. Eutrophication of US freshwaters: Analysis of potential economic damages. Environ. Sci. Technol. 2008;43:12–19. doi: 10.1021/es801217q. [DOI] [PubMed] [Google Scholar]
- 10.Qin B., Zhu G., Gao G., Zhang Y., Li W., Paerl H.W., Carmichael W.W. A drinking water crisis in Lake Taihu, China: Linkage to climatic variability and lake management. Environ. Manag. 2010;45:105–112. doi: 10.1007/s00267-009-9393-6. [DOI] [PubMed] [Google Scholar]
- 11.Hamilton D.P., Wood S.A., Dietrich D.R., Puddick J. Costs of harmful blooms of freshwater cyanobacteria. In: Sharma N.K., Rai A.K., Stal L.J., editors. Cyanobacteria: An Economic Perspective. John Wiley & Sons, Ltd.; Chichester, UK: 2014. pp. 245–256. [Google Scholar]
- 12.Bullerjahn G.S., McKay R.M., Davis T.W., Baker D.B., Boyer G.L., D’Anglada L.V., Doucette G.J., Ho J.C., Irwin E.G., Kling C.L., et al. Global solutions to regional problems: Collecting global expertise to address the problem of harmful cyanobacterial blooms. A Lake Erie case study. Harmful Algae. 2016;54:223–238. doi: 10.1016/j.hal.2016.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Conley D.J., Paerl H.W., Howarth R.W., Boesch D.F., Seitzinger S.P., Havens K.E., Lancelot C., Likens G.E. Controlling eutrophication: Nitrogen and phosphorus. Science. 2009;323:1014–1015. doi: 10.1126/science.1167755. [DOI] [PubMed] [Google Scholar]
- 14.Smith V.H., Schindler D.W. Eutrophication science: Where do we go from here? Trends Ecol. Evol. 2009;24:201–207. doi: 10.1016/j.tree.2008.11.009. [DOI] [PubMed] [Google Scholar]
- 15.Vollenweider R.A. Scientific Fundamentals of the Eutrophication of Lakes and Flowing Waters, with Particular Reference to Nitrogen and Phosphorus as Factors in Eutrophication. OECD; Paris, France: 1968. [(accessed on 15 October 2019)]. Available online: https://library.wur.nl/WebQuery/hydrotheek/113312. [Google Scholar]
- 16.Schindler D.W. Eutrophication and recovery in experimental lakes: Implications for lake management. Science. 1974;184:897–899. doi: 10.1126/science.184.4139.897. [DOI] [PubMed] [Google Scholar]
- 17.Jeppesen E., Søndergaard M., Jensen J.P., Havens K.E., Anneville O., Carvalho L., Coveney M.F., Deneke R., Dokulil M.T., Foy B., et al. Lake responses to reduced nutrient loading–an analysis of contemporary long-term data from 35 case studies. Freshw. Biol. 2005;50:1747–1771. doi: 10.1111/j.1365-2427.2005.01415.x. [DOI] [Google Scholar]
- 18.Fastner J., Abella S., Litt A., Morabito G., Vörös L., Pálffy K., Straile D., Kümmerlin R., Matthews D., Phillips M.G., et al. Combating cyanobacterial proliferation by avoiding or treating inflows with high P load—experiences from eight case studies. Aquat. Ecol. 2016;50:367–383. doi: 10.1007/s10452-015-9558-8. [DOI] [Google Scholar]
- 19.Hamilton D.P., Salmaso N., Paerl H.W. Mitigating harmful cyanobacterial blooms: Strategies for control of nitrogen and phosphorus loads. Aquat. Ecol. 2016;50:351–366. doi: 10.1007/s10452-016-9594-z. [DOI] [Google Scholar]
- 20.Sharpley A.N., Chapra S.C., Wedepohl R., Sims J.T., Daniel T.C., Reddy K.R. Managing agricultural phosphorus for protection of surface waters: Issues and options. J. Environ. Qual. 1994;23:437–451. doi: 10.2134/jeq1994.00472425002300030006x. [DOI] [Google Scholar]
- 21.Bosch N.S., Evans M.A., Scavia D., Allan J.D. Interacting effects of climate change and agricultural BMPs on nutrient runoff entering Lake Erie. J. Great Lakes Res. 2014;40:581–589. doi: 10.1016/j.jglr.2014.04.011. [DOI] [Google Scholar]
- 22.King K.W., Williams M.R., LaBarge G.A., Smith D.R., Reutter J.M., Duncan E.W., Pease L.A. Addressing agricultural phosphorus loss in artificially drained landscapes with 4R nutrient management practices. J. Soil Water Conserv. 2018;73:35–47. doi: 10.2489/jswc.73.1.35. [DOI] [Google Scholar]
- 23.Guo L. Doing battle with the green monster of Taihu Lake. Science. 2007;317:1166. doi: 10.1126/science.317.5842.1166. [DOI] [PubMed] [Google Scholar]
- 24.Svirčev Z., Krstič S., Miladinov-Mikov M., Baltič V., Vidovič M. Freshwater cyanobacterial blooms and primary liver cancer epidemiological studies in Serbia. J. Environ. Sci. Heal. C. 2009;27:36–55. doi: 10.1080/10590500802668016. [DOI] [PubMed] [Google Scholar]
- 25.Wilson E.K. Danger from microcystins in Toledo water unclear. Chem. Eng. News. 2014;92:9. [Google Scholar]
- 26.Jančula D., Maršálek B. Critical review of actually available chemical compounds for prevention and management of cyanobacterial blooms. Chemosphere. 2011;85:1415–1422. doi: 10.1016/j.chemosphere.2011.08.036. [DOI] [PubMed] [Google Scholar]
- 27.Matthijs H.C.P., Visser P.M., Reeze B., Meeuse J., Slot P.C., Wijn G., Talens R., Huisman J. Selective suppression of harmful cyanobacteria in an entire lake with hydrogen peroxide. Water Res. 2012;46:1460–1472. doi: 10.1016/j.watres.2011.11.016. [DOI] [PubMed] [Google Scholar]
- 28.Matthijs H.C.P., Jančula D., Visser P.M., Maršálek B. Existing and emerging cyanocidal compounds: New perspectives for cyanobacterial bloom mitigation. Aquat. Ecol. 2016;50:443–460. doi: 10.1007/s10452-016-9577-0. [DOI] [Google Scholar]
- 29.Barrington D.J., Reichwaldt E.S., Ghadouani A. The use of hydrogen peroxide to remove cyanobacteria and microcystins from waste stabilization ponds and hypereutrophic systems. Ecol. Eng. 2013;50:86–94. doi: 10.1016/j.ecoleng.2012.04.024. [DOI] [Google Scholar]
- 30.Latifi A., Ruiz M., Zhang C.-C. Oxidative stress in cyanobacteria. FEMS Microbiol. Rev. 2009;33:258–278. doi: 10.1111/j.1574-6976.2008.00134.x. [DOI] [PubMed] [Google Scholar]
- 31.Mishra S., Imlay J. Why do bacteria use so many enzymes to scavenge hydrogen peroxide? Arch. Biochem. Biophys. 2012;525:145–160. doi: 10.1016/j.abb.2012.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Cooper W.J., Zika R.G. Photochemical formation of hydrogen peroxide in surface and ground waters exposed to sunlight. Science. 1983;220:711–712. doi: 10.1126/science.220.4598.711. [DOI] [PubMed] [Google Scholar]
- 33.Cory R.M., Davis T.W., Dick G.J., Johengen T., Denef V.J., Berry M.A., Page S.E., Watson S.B., Yuhas K., Kling G.W. Seasonal dynamics in dissolved organic matter, hydrogen peroxide, and cyanobacterial blooms in Lake Erie. Front. Mar. Sci. 2016;3:54. doi: 10.3389/fmars.2016.00054. [DOI] [Google Scholar]
- 34.Mehler A.H. Studies on reactions of illuminated chloroplasts: I. Mechanism of the reduction of oxygen and other hill reagents. Arch. Biochem. Biophys. 1951;33:65–77. doi: 10.1016/0003-9861(51)90082-3. [DOI] [PubMed] [Google Scholar]
- 35.Asada K. The water-water cycle in chloroplasts: Scavenging of active oxygens and dissipation of excess photons. Annu. Rev. Plant Biol. 1999;50:601–639. doi: 10.1146/annurev.arplant.50.1.601. [DOI] [PubMed] [Google Scholar]
- 36.Apel K., Hirt H. Reactive oxygen species: Metabolism, oxidative stress, and signal transduction. Annu. Rev. Plant Biol. 2004;55:373–399. doi: 10.1146/annurev.arplant.55.031903.141701. [DOI] [PubMed] [Google Scholar]
- 37.Marsico R.M., Schneider R.J., Voelker B.M., Zhang T., Diaz J.M., Hansel C.M., Ushijima S. Spatial and temporal variability of widespread dark production and decay of hydrogen peroxide in freshwater. Aquat. Sci. 2015;77:523–533. doi: 10.1007/s00027-015-0399-2. [DOI] [Google Scholar]
- 38.Richard L.E., Peake B.M., Rusak S.A., Cooper W.J., Burritt D.J. Production and decomposition dynamics of hydrogen peroxide in freshwater. Environ. Chem. 2007;4:49–54. doi: 10.1071/EN06068. [DOI] [Google Scholar]
- 39.Cooper W.J., Zepp R.G. Hydrogen peroxide decay in waters with suspended soils: Evidence for biologically mediated processes. Can. J. Fish. Aquat. Sci. 1990;47:888–893. doi: 10.1139/f90-102. [DOI] [Google Scholar]
- 40.Häkkinen P.J., Anesio A.M., Granéli W. Hydrogen peroxide distribution, production, and decay in boreal lakes. Can. J. Fish. Aquat. Sci. 2004;61:1520–1527. doi: 10.1139/f04-098. [DOI] [Google Scholar]
- 41.Cooper W.J., Lean D.R.S. Hydrogen peroxide concentration in a northern lake: Photochemical formation and diel variability. Environ. Sci. Technol. 1989;23:1425–1428. doi: 10.1021/es00069a017. [DOI] [Google Scholar]
- 42.Barroin G., Feuillade M. Hydrogen peroxide as a potential algicide for Oscillatoria rubescens DC. Water Res. 1986;20:619–623. doi: 10.1016/0043-1354(86)90026-6. [DOI] [Google Scholar]
- 43.Drábková M., Matthijs H.C.P., Admiraal W., Maršálek B. Selective effects of H2O2 on cyanobacterial photosynthesis. Photosynthetica. 2007;45:363–369. doi: 10.1007/s11099-007-0062-9. [DOI] [Google Scholar]
- 44.Barrington D.J., Ghadouani A. Application of hydrogen peroxide for the removal of toxic cyanobacteria and other phytoplankton from wastewater. Environ. Sci. Technol. 2008;42:8916–8921. doi: 10.1021/es801717y. [DOI] [PubMed] [Google Scholar]
- 45.Weenink E.F.J., Luimstra V.M., Schuurmans J.M., Van Herk M.J., Visser P.M., Matthijs H.C.P. Combatting cyanobacteria with hydrogen peroxide: A laboratory study on the consequences for phytoplankton community and diversity. Front. Microbiol. 2015;6:714. doi: 10.3389/fmicb.2015.00714. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Drábková M., Admiraal W., Maršálek B. Combined exposure to hydrogen peroxide and light selective effects on cyanobacteria, green algae, and diatoms. Environ. Sci. Technol. 2007;41:309–314. doi: 10.1021/es060746i. [DOI] [PubMed] [Google Scholar]
- 47.Gaikowski M.P., Rach J.J., Ramsay R.T. Acute toxicity of hydrogen peroxide treatments to selected lifestages of cold-, cool-, and warmwater fish. Aquaculture. 1999;178:191–207. doi: 10.1016/S0044-8486(99)00123-4. [DOI] [Google Scholar]
- 48.Schuurmans J.M., Brinkmann B.W., Makower A.K., Dittmann E., Huisman J., Matthijs H.C.P. Microcystin interferes with defense against high oxidative stress in harmful cyanobacteria. Harmful Algae. 2018;78:47–55. doi: 10.1016/j.hal.2018.07.008. [DOI] [PubMed] [Google Scholar]
- 49.Passardi F., Zamocky M., Favet J., Jakopitsch C., Penel C., Obinger C., Dunand C. Phylogenetic distribution of catalase-peroxidases: Are there patches of order in chaos? Gene. 2007;397:101–113. doi: 10.1016/j.gene.2007.04.016. [DOI] [PubMed] [Google Scholar]
- 50.Bernroitner M., Zamocky M., Furtmüller P.G., Peschek G.A., Obinger C. Occurrence, phylogeny, structure, and function of catalases and peroxidases in cyanobacteria. J. Exp. Bot. 2009;60:423–440. doi: 10.1093/jxb/ern309. [DOI] [PubMed] [Google Scholar]
- 51.Pérez-Pérez M.E., Mata-Cabana A., Sánchez-Riego A.M., Lindahl M., Florencio F.J. A comprehensive analysis of the peroxiredoxin reduction system in the cyanobacterium Synechocystis sp. strain PCC 6803 reveals that all five peroxiredoxins are thioredoxin dependent. J. Bacteriol. 2009;191:7477–7489. doi: 10.1128/JB.00831-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Dietz K.-J. Peroxiredoxins in plants and cyanobacteria. Antioxid. Redox Signal. 2011;15:1129–1159. doi: 10.1089/ars.2010.3657. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Helman Y., Tchernov D., Reinhold L., Shibata M., Ogawa T., Schwarz R., Ohad I., Kaplan A. Genes encoding A-type flavoproteins are essential for photoreduction of O2 in cyanobacteria. Curr. Biol. 2003;13:230–235. doi: 10.1016/S0960-9822(03)00046-0. [DOI] [PubMed] [Google Scholar]
- 54.Helman Y., Barkan E., Eisenstadt D., Luz B., Kaplan A. Fractionation of the three stable oxygen isotopes by oxygen-producing and oxygen-consuming reactions in photosynthetic organisms. Plant Physiol. 2005;138:2292–2298. doi: 10.1104/pp.105.063768. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Allahverdiyeva Y., Mustila H., Ermakova M., Bersanini L., Richaud P., Ajlani G., Battchikova N., Cournac L., Aro E.-M. Flavodiiron proteins Flv1 and Flv3 enable cyanobacterial growth and photosynthesis under fluctuating light. Proc. Natl. Acad. Sci. USA. 2013;110:4111–4116. doi: 10.1073/pnas.1221194110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Allahverdiyeva Y., Isojärvi J., Zhang P., Aro E.-M. Cyanobacterial oxygenic photosynthesis is protected by flavodiiron proteins. Life. 2015;5:716–743. doi: 10.3390/life5010716. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Daniel E., Weiss G., Murik O., Sukenik A., Lieman-Hurwitz J., Kaplan A. The response of Microcystis aeruginosa strain MGK to a single or two consecutive H2O2 applications. Environ. Microbiol. Rep. 2019;11:621–629. doi: 10.1111/1758-2229.12789. [DOI] [PubMed] [Google Scholar]
- 58.Mikula P., Zezulka S., Jancula D., Marsalek B. Metabolic activity and membrane integrity changes in Microcystis aeruginosa–new findings on hydrogen peroxide toxicity in cyanobacteria. Eur. J. Phycol. 2012;47:195–206. doi: 10.1080/09670262.2012.687144. [DOI] [Google Scholar]
- 59.Monteith D.T., Stoddard J.L., Evans C.D., De Wit H.A., Forsius M., Høgåsen T., Wilander A., Skjelkvåle B.L., Jeffries D.S., Vuorenmaa J., et al. Dissolved organic carbon trends resulting from changes in atmospheric deposition chemistry. Nature. 2007;450:537–541. doi: 10.1038/nature06316. [DOI] [PubMed] [Google Scholar]
- 60.Ekvall M.K., de la Calle Martin J., Faassen E.J., Gustafsson S., Lürling M., Hansson L.A. Synergistic and species-specific effects of climate change and water colour on cyanobacterial toxicity and bloom formation. Freshw. Biol. 2013;58:2414–2422. doi: 10.1111/fwb.12220. [DOI] [Google Scholar]
- 61.Leech D.M., Pollard A.I., Labou S.G., Hampton S.E. Fewer blue lakes and more murky lakes across the continental US: Implications for planktonic food webs. Limnol. Oceanogr. 2018;63:2661–2680. doi: 10.1002/lno.10967. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Luimstra V.M., Schuurmans J.M., Verschoor A.M., Hellingwerf K.J., Huisman J., Matthijs H.C.P. Blue light reduces photosynthetic efficiency of cyanobacteria through an imbalance between photosystems I and II. Photosynth. Res. 2018;138:177–189. doi: 10.1007/s11120-018-0561-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Huisman J., Sharples J., Stroom J.M., Visser P.M., Kardinaal W.E.A., Verspagen J.M.H., Sommeijer B. Changes in turbulent mixing shift competition for light between phytoplankton species. Ecology. 2004;85:2960–2970. doi: 10.1890/03-0763. [DOI] [Google Scholar]
- 64.Verspagen J.M.H., Passarge J., Jöhnk K.D., Visser P.M., Peperzak L., Boers P., Laanbroek H.J., Huisman J. Water management strategies against toxic Microcystis blooms in the Dutch delta. Ecol. Appl. 2006;16:313–327. doi: 10.1890/04-1953. [DOI] [PubMed] [Google Scholar]
- 65.Blot N., Mella-Flores D., Six C., Le Corguillé G., Boutte C., Peyrat A., Monnier A., Ratin M., Gourvil P., Campbell D.A., et al. Light history influences the response of the marine cyanobacterium Synechococcus sp. WH7803 to oxidative stress. Plant Physiol. 2011;156:1934–1954. doi: 10.1104/pp.111.174714. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Zilliges Y., Kehr J.-C., Meissner S., Ishida K., Mikkat S., Hagemann M., Kaplan A., Börner T., Dittmann E. The cyanobacterial hepatotoxin microcystin binds to proteins and increases the fitness of Microcystis under oxidative stress conditions. PLoS ONE. 2011;6:e17615. doi: 10.1371/journal.pone.0017615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Lürling M., Meng D., Faassen E.J. Effects of hydrogen peroxide and ultrasound on biomass reduction and toxin release in the cyanobacterium, Microcystis aeruginosa. Toxins. 2014;6:3260–3280. doi: 10.3390/toxins6123260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Wang B., Wang X., Hu Y., Chang M., Bi Y., Hu Z. The combined effects of UV-C radiation and H2O2 on Microcystis aeruginosa, a bloom-forming cyanobacterium. Chemosphere. 2015;141:34–43. doi: 10.1016/j.chemosphere.2015.06.020. [DOI] [PubMed] [Google Scholar]
- 69.Ohnishi N., Allakhverdiev S.I., Takahashi S., Higashi S., Watanabe M., Nishiyama Y., Murata N. Two-step mechanism of photodamage to photosystem II: Step 1 occurs at the oxygen-evolving complex and step 2 occurs at the photochemical reaction center. Biochemistry. 2005;44:8494–8499. doi: 10.1021/bi047518q. [DOI] [PubMed] [Google Scholar]
- 70.Aro E.-M., Virgin I., Andersson B. Photoinhibition of photosystem II. Inactivation, protein damage and turnover. BBA Bioenerg. 1993;1143:113–134. doi: 10.1016/0005-2728(93)90134-2. [DOI] [PubMed] [Google Scholar]
- 71.Nishiyama Y., Allakhverdiev S.I., Yamamoto H., Hayashi H., Murata N. Singlet oxygen inhibits the repair of photosystem II by suppressing the translation elongation of the D1 protein in Synechocystis sp. PCC 6803. Biochemistry. 2004;43:11321–11330. doi: 10.1021/bi036178q. [DOI] [PubMed] [Google Scholar]
- 72.Nishiyama Y., Allakhverdiev S.I., Murata N. A new paradigm for the action of reactive oxygen species in the photoinhibition of photosystem II. BBA Bioenergy. 2006;1757:742–749. doi: 10.1016/j.bbabio.2006.05.013. [DOI] [PubMed] [Google Scholar]
- 73.Kojima K., Oshita M., Nanjo Y., Kasai K., Tozawa Y., Hayashi H., Nishiyama Y. Oxidation of elongation factor G inhibits the synthesis of the D1 protein of photosystem II. Mol. Microbiol. 2007;65:936–947. doi: 10.1111/j.1365-2958.2007.05836.x. [DOI] [PubMed] [Google Scholar]
- 74.Kooten O., Snel J.F.H. The use of chlorophyll fluorescence nomenclature in plant stress physiology. Photosynth. Res. 1990;25:147–150. doi: 10.1007/BF00033156. [DOI] [PubMed] [Google Scholar]
- 75.Schreiber U. Pulse-Amplitude-Modulation (PAM) Fluorometry and Saturation Pulse Method: An Overview. In: Papageorgiou G.C., Govindjee, editors. Chlorophyll a Fluorescence: A Signature of Photosynthesis. Springer; Dordrecht, The Netherlands: 2004. pp. 279–319. [Google Scholar]
- 76.Luimstra V.M., Schuurmans J.M., de Carvalho C.F.M., Matthijs H.C.P., Hellingwerf K.J., Huisman J. Exploring the low photosynthetic efficiency of cyanobacteria in blue light using a mutant lacking phycobilisomes. Photosynth. Res. 2019;141:291–301. doi: 10.1007/s11120-019-00630-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Jordan P., Fromme P., Witt H.T., Klukas O., Saenger W., Krauß N. Three-dimensional structure of cyanobacterial photosystem I at 2.5 Å resolution. Nature. 2001;411:909–917. doi: 10.1038/35082000. [DOI] [PubMed] [Google Scholar]
- 78.Umena Y., Kawakami K., Shen J.-R., Kamiya N. Crystal structure of oxygen-evolving photosystem II at a resolution of 1.9 Å. Nature. 2011;473:55–60. doi: 10.1038/nature09913. [DOI] [PubMed] [Google Scholar]
- 79.Kirilovsky D. Modulating energy arriving at photochemical reaction centers: Orange carotenoid protein-related photoprotection and state transitions. Photosynth. Res. 2015;126:3–17. doi: 10.1007/s11120-014-0031-7. [DOI] [PubMed] [Google Scholar]
- 80.Gantt E. Phycobilisomes. Annu. Rev. Plant Physiol. 1981;32:327–347. doi: 10.1146/annurev.pp.32.060181.001551. [DOI] [Google Scholar]
- 81.Imlay J.A. Pathways of oxidative damage. Annu. Rev. Microbiol. 2003;57:395–418. doi: 10.1146/annurev.micro.57.030502.090938. [DOI] [PubMed] [Google Scholar]
- 82.Ding Y., Gan N., Li J., Sedmak B., Song L. Hydrogen peroxide induces apoptotic-like cell death in Microcystis aeruginosa (Chroococcales, Cyanobacteria) in a dose-dependent manner. Phycologia. 2012;51:567–575. doi: 10.2216/11-107.1. [DOI] [Google Scholar]
- 83.Zhou T., Zheng J., Cao H., Wang X., Lou K., Zhang X., Tao Y. Growth suppression and apoptosis-like cell death in Microcystis aeruginosa by H2O2: A new insight into extracellular and intracellular damage pathways. Chemosphere. 2018;211:1098–1108. doi: 10.1016/j.chemosphere.2018.08.042. [DOI] [PubMed] [Google Scholar]
- 84.Huo X., Chang D.-W., Tseng J.-H., Burch M.D., Lin T.-F. Exposure of Microcystis aeruginosa to hydrogen peroxide under light: Kinetic modeling of cell rupture and simultaneous microcystin degradation. Environ. Sci. Technol. 2015;49:5502–5510. doi: 10.1021/acs.est.5b00170. [DOI] [PubMed] [Google Scholar]
- 85.Wang J., Chen Z., Chen H., Wen Y. Effect of hydrogen peroxide on Microcystis aeruginosa: Role of cytochromes P450. Sci. Total Environ. 2018;626:211–218. doi: 10.1016/j.scitotenv.2018.01.067. [DOI] [PubMed] [Google Scholar]
- 86.Meissner S., Fastner J., Dittmann E. Microcystin production revisited: Conjugate formation makes a major contribution. Environ. Microb. 2013;15:1810–1820. doi: 10.1111/1462-2920.12072. [DOI] [PubMed] [Google Scholar]
- 87.Jones G.J., Bourne D.G., Blakeley R.L., Doelle H. Degradation of the cyanobacterial hepatotoxin microcystin by aquatic bacteria. Nat. Toxins. 1994;2:228–235. doi: 10.1002/nt.2620020412. [DOI] [PubMed] [Google Scholar]
- 88.Christoffersen K., Lyck S., Winding A. Microbial activity and bacterial community structure during degradation of microcystins. Aquat. Microb. Ecol. 2002;27:125–136. doi: 10.3354/ame027125. [DOI] [Google Scholar]
- 89.Berg K.A., Lyra C., Sivonen K., Paulin L., Suomalainen S., Tuomi P., Rapala J. High diversity of cultivable heterotrophic bacteria in association with cyanobacterial water blooms. ISME J. 2009;3:314–325. doi: 10.1038/ismej.2008.110. [DOI] [PubMed] [Google Scholar]
- 90.Font Nájera A., Serwecińska L.E., Gągała-Borowska I., Jurczak T.E., Mankiewicz-Boczek J.D. The characterization of a novel bacterial strain capable of microcystin degradation from the Jeziorsko reservoir, Poland: A preliminary study. Biologia. 2017;72:1394–1402. [Google Scholar]
- 91.Bourne D.G., Jones G.J., Blakeley R.L., Jones A., Negri A.P., Riddles P. Enzymatic pathway for the bacterial degradation of the cyanobacterial cyclic peptide toxin microcystin LR. Appl. Environ. Microb. 1996;62:4086–4094. doi: 10.1128/aem.62.11.4086-4094.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Imanishi S., Kato H., Mizuno M., Tsuji K., Harada K.-I. Bacterial degradation of microcystins and nodularin. Chem. Res. Toxicol. 2005;18:591–598. doi: 10.1021/tx049677g. [DOI] [PubMed] [Google Scholar]
- 93.Edwards C., Graham D., Fowler N., Lawton L.A. Biodegradation of microcystins and nodularin in freshwaters. Chemosphere. 2008;73:1315–1321. doi: 10.1016/j.chemosphere.2008.07.015. [DOI] [PubMed] [Google Scholar]
- 94.Holst T., Jørgensen N.O.G., Jørgensen C., Johansen A. Degradation of microcystin in sediments at oxic and anoxic, denitrifying conditions. Water Res. 2003;37:4748–4760. doi: 10.1016/S0043-1354(03)00413-5. [DOI] [PubMed] [Google Scholar]
- 95.Ho L., Meyn T., Keegan A., Hoefel D., Brookes J., Saint C.P., Newcombe G. Bacterial degradation of microcystin toxins within a biologically active sand filter. Water Res. 2006;40:768–774. doi: 10.1016/j.watres.2005.12.009. [DOI] [PubMed] [Google Scholar]
- 96.Dziga D., Maksylewicz A., Maroszek M., Budzyńska A., Napiorkowska-Krzebietke A., Toporowska M., Grabowska M., Kozak A., Rosińska J., Meriluoto J. The biodegradation of microcystins in temperate freshwater bodies with previous cyanobacterial history. Ecotoxicol. Environ. Saf. 2017;145:420–430. doi: 10.1016/j.ecoenv.2017.07.046. [DOI] [PubMed] [Google Scholar]
- 97.Dziga D., Tokodi N., Backović D.D., Kokociński M., Antosiak A., Puchalski J., Strzałka W., Madej M., Meriluoto J., Svirčev Z. The effect of a combined hydrogen peroxide-MlrA treatment on the phytoplankton community and microcystin concentrations in a mesocosm experiment in Lake Ludoš. Toxins. 2019;11:725. doi: 10.3390/toxins11120725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Kirk J.T.O. Light and Photosynthesis in Aquatic Ecosystems. Cambridge University Press; Cambridge, UK: 2011. [Google Scholar]
- 99.Wu X., Noss C., Liu L., Lorke A. Effects of small-scale turbulence at the air-water interface on microcystis surface scum formation. Water Res. 2019;167:115091. doi: 10.1016/j.watres.2019.115091. [DOI] [PubMed] [Google Scholar]
- 100.Ibelings B.W., Maberly S.C. Photoinhibition and the availability of inorganic carbon restrict photosynthesis by surface blooms of cyanobacteria. Limnol. Oceanogr. 1998;43:408–419. doi: 10.4319/lo.1998.43.3.0408. [DOI] [Google Scholar]
- 101.Wang D.H., Li L., Zhu C.W., Wang Z.Y., Xie P. Combined Application of Natural Sunlight and Hydrogen peroxide on the Removal of Harmful Cyanobacteria; Proceedings of the IOP Conference Series: Earth and Environmental Science; Zhuhai, China. 28–30 April 2017; p. 012068. [Google Scholar]
- 102.Zhou Q., Li L., Huang L., Guo L., Song L. Combining hydrogen peroxide addition with sunlight regulation to control algal blooms. Environ. Sci. Pollut. Res. 2018;25:2239–2247. doi: 10.1007/s11356-017-0659-x. [DOI] [PubMed] [Google Scholar]
- 103.Luimstra V.M., Verspagen J.M.H., Xu T., Schuurmans J.M., Huisman J. Changes in water color shift competition between phytoplankton species with contrasting light-harvesting strategies. Ecology. 2020 doi: 10.1002/ecy.2951. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Stomp M., Huisman J., Stal L.J., Matthijs H.C.P. Colorful niches of phototrophic microorganisms shaped by vibrations of the water molecule. ISME J. 2007;1:271–282. doi: 10.1038/ismej.2007.59. [DOI] [PubMed] [Google Scholar]
- 105.Huisman J., Matthijs H.C.P., Visser P.M., Balke H., Sigon C.A.M., Passarge J., Weissing F.J., Mur L.R. Principles of the light-limited chemostat: Theory and ecological applications. Antonie van Leeuwenhoek. 2002;81:117–133. doi: 10.1023/A:1020537928216. [DOI] [PubMed] [Google Scholar]
- 106.Rippka R., Deruelles J., Waterbury J.B., Herdman M., Stanier R.Y. Generic assignments, strain histories and properties of pure cultures of cyanobacteria. J. Gen. Microbiol. 1979;111:1–61. doi: 10.1099/00221287-111-1-1. [DOI] [Google Scholar]
- 107.Diao M., Sinnige R., Kalbitz K., Huisman J., Muyzer G. Succession of bacterial communities in a seasonally stratified lake with an anoxic and sulfidic hypolimnion. Front. Microbiol. 2017;8:2511. doi: 10.3389/fmicb.2017.02511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Sandrini G., Jakupovic D., Matthijs H.C.P., Huisman J. Strains of the harmful cyanobacterium Microcystis aeruginosa differ in gene expression and activity of inorganic carbon uptake systems at elevated CO2 levels. Appl. Environ. Microb. 2015;81:7730–7739. doi: 10.1128/AEM.02295-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Genty B., Briantais J.-M., Baker N.R. The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence. BBA Bioenergy. 1989;990:87–92. doi: 10.1016/S0304-4165(89)80016-9. [DOI] [Google Scholar]
- 110.Lu C.-P., Lin C.-T., Chang C.-M., Wu S.-H., Lo L.-C. Nitrophenylboronic acids as highly chemoselective probes to detect hydrogen peroxide in foods and agricultural products. J. Agric. Food Chem. 2011;59:11403–11406. doi: 10.1021/jf202874r. [DOI] [PubMed] [Google Scholar]
- 111.Tonk L., Visser P.M., Christiansen G., Dittmann E., Snelder E.O.F.M., Wiedner C., Mur L.R., Huisman J. The microcystin composition of the cyanobacterium Planktothrix agardhii changes toward a more toxic variant with increasing light intensity. Appl. Environ. Microb. 2005;71:5177–5181. doi: 10.1128/AEM.71.9.5177-5181.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Van de Waal D.B., Verspagen J.M.H., Finke J.F., Vournazou V., Immers A.K., Kardinaal W.E.A., Tonk L., Becker S., Van Donk E., Visser P.M., et al. Reversal in competitive dominance of a toxic versus non-toxic cyanobacterium in response to rising CO2. ISME J. 2011;5:1438–1450. doi: 10.1038/ismej.2011.28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Tonk L., Welker M., Huisman J., Visser P.M. Production of cyanopeptolins, anabaenopeptins, and microcystins by the harmful cyanobacteria Anabaena 90 and Microcystis PCC 7806. Harmful Algae. 2009;8:219–224. doi: 10.1016/j.hal.2008.05.005. [DOI] [Google Scholar]
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