Abstract
The cyanobacterial cytotoxin cylindrospermopsin (CYN) has become increasingly common in fresh waters worldwide. It was originally isolated from Cylindrospermopsis raciborskii in Australia; however, in European waters, its occurrence is associated with other cyanobacterial species belonging to the genera Aphanizomenon and Anabaena. Moreover, cylindrospermopsin-producing strains of widely distributed C. raciborskii have not yet been observed in European waters. The aims of this work were to assess the occurrence of CYN in lakes of western Poland and to identify the CYN producers. The ELISA tests, high-performance liquid chromatography (HPLC)-DAD, and HPLC-mass spectrometry (MS)/MS were conducted to assess the occurrence of CYN in 36 lakes. The cyrJ, cyrA, and pks genes were amplified to identify toxigenic genotypes of cyanobacteria that are capable of producing CYN. The toxicity and toxigenicity of the C. raciborskii and Aphanizomenon gracile strains isolated from the studied lakes were examined. Overall, CYN was detected in 13 lakes using HPLC-MS/MS, and its concentrations varied from trace levels to 3.0 μg L−1. CYN was widely observed in lakes of western Poland during the whole summer under different environmental conditions. Mineral forms of nutrients and temperature were related to CYN production. The molecular studies confirmed the presence of toxigenic cyanobacterial populations in all of the samples where CYN was detected. The toxicity and toxigenicity analyses of isolated cyanobacteria strains revealed that A. gracile was the major producer of CYN.
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Introduction
The occurrence of cylindrospermopsin (CYN) is of major concern for both drinking water supplies and recreational water use because it can affect the health of wildlife and humans (Carmichael and Falconer 1993). CYN is a potent hepatotoxic alkaloid consisting of a tricyclic guanidine moiety combined with hydroxymethyluracil that inhibits protein synthesis and causes pathological symptoms in the liver, spleen, thymus, kidney, and heart (Terao et al. 1994; Hawkins et al. 1997; Falconer et al. 1999; Froscio et al. 2003; van Apeldoorn et al. 2007). Further studies have revealed CYN to be genotoxic, causing DNA strand breakage (Humpage et al. 2000; Shen et al. 2002) and DNA damage in non-liver cells (Žegura et al. 2011). Moreover, mutagenic and carcinogenic effects of CYN have also been demonstrated (Humpage et al. 2000; Falconer and Humpage 2001; Bazin et al. 2010). Recent studies have revealed the environmental toxicity of CYN towards different groups of organisms, including amphibians (Kinnear et al. 2007), gastropods (White et al. 2006), fish (Gutiérrez-Praena et al. 2012), plants (Metcalf et al. 2004), and aquatic macrophytes (Kinnear et al. 2008), as well as antibacterial activity (Rasmussen et al. 2008). Two other structural variants of CYN have been isolated: deoxy-cylindrospermopsin (Norris et al. 1999) and 7-epicylindrospermopsin (Banker et al. 2000).
CYN was first isolated from Cylindrospermopsis raciborskii (Ohtani et al. 1992), which was detected in drinking water supply reservoirs on Palm Island, Australia, where an outbreak of hepatoenteritis occurred among the aboriginal community (Bourke et al. 1983). Previously, this common bloom-forming cyanobacterium native to the Australian waters was the only known CYN-producing species. In addition to Australia, CYN-producing strains of C. raciborskii have now also been isolated in New Zealand (Wood and Stirling 2003), Japan (Chonudomkul et al. 2004; Zarenezhad et al. 2012), and Thailand (Li et al. 2001a). Currently, CYN has been detected worldwide and is known to be produced by a number of cyanobacteria, including Umezakia natans in Japan (Harada et al. 1994); Aphanizomenon ovalisporum, e.g., in Israel, Australia, Spain, and Italy (Banker et al. 1997; Shaw et al. 1999; Quesada et al. 2006; Messineo et al. 2010); Raphidiopsis curvata in China (Li et al. 2001b) and Anabaena bergii, Lyngbya wollei, and Raphidiopsis mediterranea in Australia (Schembri et al. 2001; Seifert et al. 2007; McGregor et al. 2011). In Europe, two additional CYN-producing species were found: Aphanizomenon flos-aquae in Germany (Preußel et al. 2006) and Anabaena lapponica in Finland (Spoof et al. 2006). Moreover, recent studies by Wiedner et al. (2008) indicated Aphanizomenon gracile to be a potential producer of this toxin in German waters. Aside from Germany, Spain, Finland and Italy, CYN was also detected in other localities in Europe, including Portugal (Saker et al. 2003), France (Brient et al. 2009), and the Czech Republic (Bláhová et al. 2009), where Anabaena planctonica and A. flos-aquae var. klebahnii have been reported as potential producers of CYN (Brient et al. 2009; Bláhová et al. 2009). Therefore, it is likely that CYN is widely distributed in European waters; however, the list of potential producers of this toxin remains incomplete. Moreover, no CYN-producing strains of C. raciborskii have yet been isolated, although it is a commonly occurring species in this region (Fastner et al. 2003, 2007; Saker et al. 2003; Bernard et al. 2003; Haande et al. 2008; Antal et al. 2011; Mankiewicz-Boczek et al. 2012). In Poland, CYN was first detected in 2006 in two shallow eutrophic lakes (Kokociński et al. 2009), and preliminary molecular identification has shown that Aphanizomenon sp. appears to be the primary cyanobacterial genus responsible for the production of CYN in Polish lakes (Mankiewicz-Boczek et al. 2012). Our recent study showed that C. raciborskii and Aphanizomenon spp. were common in eutrophic lakes in western Poland Kokociński and Soininen (2012). These lakes are very often used for recreation during the summer season or they supply water to agriculture farms. However, the knowledge about toxin concentration in these waters is very limited. Since the CYN concentrations detected in the earlier investigation (Kokocinski et al. 2009) exceeded the guideline value recommended by Humpage and Falconer (2003), further studies on the distribution of CYN and its producers are needed.
Therefore, the objectives of this study were (1) to assess the occurrence and distribution of CYN in Polish lakes and (2) to identify the cyanobacteria species capable of producing CYN.
Materials and methods
Study site
The study was conducted in 36 randomly selected lakes in western Poland (Fig. 1). The lakes varied in morphometry (e.g., maximum depth, volume, and surface area), mixing regime (i.e., dimictic, and polymictic), and trophic status. The limnological characteristics and geographical positions of the lakes are presented in Table 1.
Sampling
The lakes were sampled twice in 2010, with the first sampling period taking place from 6 June to 23 July (the “beginning of summer”) and the second from 20 August to 1 October (the “end of summer”). Integrated phytoplankton samples were collected from one sampling station in the middle of each lake, from the water column in polymictic lakes or from the epilimnion in stratified lakes, using a 0.5-m-long “Limnos” sampler. In both cases, subsamples were taken from every 1 m of a vertical profile, pooled in a plastic bucket and then mixed. The number of subsamples depended on the maximum depth of the shallow lakes (from 1 to 3 m) and on the depth of the epilimnion in the stratified lakes (from 1 to 4 m). Following the initial collection, pooling, and mixing of the samples, subsamples measuring 1 L in volume were collected and transported to the laboratory for the phytoplankton and chemical analyses.
Phytoplankton analysis
The phytoplankton samples were preserved with acid Lugol’s solution with a final concentration of 1 % (APHA 1998; Hötzel and Croome 1999; Hawkins et al. 2005) immediately after sampling and were stored in cool and dark conditions. The phytoplankton samples were then analyzed within the next few weeks. Before counting the plankton, the samples were left undisturbed for at least 48 h in glass cylinders. The upper layer of the water was then gently decanted and the lower layer (40 mL) containing the settled plankton species was used for the analysis.
The phytoplankton were morphologically identified with reference to Starmach (1989); Komárek and Anagnostidis (1989, 1998); Hindak (2000); Komárek and Komárkova (2003, 2004); Komárek and Anagnostidis (2005); Komárek and Komárkova (2006); Komárek and Zapomĕlová (2007, 2008); Komárek (2010). Identification of isolated strains of A. gracile was additionally verified by consulting with Prof. Hindak. The phytoplanktons were counted using a Fuchs-Rosenthal chamber (Brand GmbH + CO KG, PO Box 1155 97861 Wertheim, Germany). At least 400 specimens were counted to reduce the error to <10 % (p = 0.05; Javornickỳ 1958). A single cell, a cenobium, or a filament represented one specimen in the analyses. Phytoplankton identification and counts were conducted using Carl Zeiss (Axioskop 2 Mot, Germany) light microscope under × 400 magnification. The biovolume of each species was determined through the volumetric analysis of cells using a geometric approximation and was expressed as wet weight following the guidelines of Hindak (1978) and Wetzel and Likens (2000).
Cyanobacteria cultures
The A. gracile and C. raciborskii strains were isolated under Carl Zeiss light microscope (magnification × 400) from the environmental samples. Single filaments of these species were collected using a Pasteur’s glass pipette and transferred to culture flasks containing sterile BG-11 media. This procedure was repeated until monocultures of the cyanobacteria were obtained. All together, 11 strains of A. gracile and six strains of C. raciborskii were isolated. Each strain was isolated from a different lake. The isolates were incubated in 250 mL Erlenmeyer flasks containing 150 mL medium in an incubation chamber (Poleko Sp.j., Wodzisław Śl., Poland) at 21 °C under 80 μmol photon per square meter per second irradiance using cool white fluorescent light with a photoperiod regime of 12 h dark and 12 h light. The culture material was harvested at the beginning of the stationary growth phase for toxin analysis. From each strain, 100 mL for enzyme-linked immunosorbent assay (ELISA) and high-performance liquid chromatography (HPLC) analysis and 10 mL for molecular analysis of culture material was filtered through a sterile GF/C Whatman filter. The strains are maintained in the culture collection in the Department of Hydrobiology at Adam Mickiewicz University.
Cultures of Anabaena lapponica 966 (obtained from Finnish Environment Institute, Helsinki, Finland; Spoof et al. 2006) and C. raciborskii CSIRO 506 and 505 (CSIRO Collection of Living Microalgae, Hobart, Australia) were maintained at Åbo Akademi University and utilized in the evaluation of the analytical performance and in PCR work (“HPLC analysis” section and “Quantitative analysis of the cyrA gene” section, respectively).
Chemical and physical analyses
The integrated water samples were analyzed for ammonium (NH4 +) levels using a manual spectrometric method (PN-ISO 7150-1:2002). Nitrate (NO3 −) and nitrite (NO2 −) levels were analyzed by determining the concentration of dissolved anions using liquid chromatography (ISO 10304-1:2007). The total nitrogen was calculated according to (PN-73/C-04576/14: 1973). PO4 3− and total phosphorus were determined using the ammonium molybdate spectrometric method (ISO 6878: 2004).
For the chlorophyll a (chl-a) analysis, 200 mL of water was filtered through a GF/C Whatman filter. The concentration was then determined spectrophotometrically after 90 % acetone extraction and calculated using Lorenzen’s formula (Wetzel and Likens 2000). For each sample, the Secchi depth, water temperature, pH, and conductivity were determined in situ using a multiparameter probe (Elmetron CPC-401, Elmetron Sp.j. Zabrze, Poland).
Cylindrospermopsin analysis
ELISA tests
First, an ELISA was carried out to detect the particulate and dissolved CYN concentrations in both the environmental and the culture samples. To determine the dissolved CYN concentration before analysis, 200 mL samples were filtered immediately after sampling through GF/C (Whatman, UK) filters. The filtered water was then used for analysis. To detect the total CYN concentration, raw unfiltered water samples were sonicated for 2 min in an ice bath with a 60-s pause. The 250 μL sonicated suspensions and filtered water samples were centrifuged at 12,000 × g for 10 min. Direct competitive ELISA tests based on polyclonal antibodies were conducted following the manufacturer’s instructions (Abraxis LLC, USA). The absorbance was measured at 450 nm using a spectrophotometer (BioTek Instruments, Inc., Winooski, VT, USA). The detection limit for this assay was 0.04 μg L−1. The particulate CYN concentration in the investigated samples was calculated by subtracting the dissolved CYN concentration from the total concentration of CYN.
HPLC analysis
Sample preparation
The sample preparation method was based on results from an international interlaboratory exercise on cylindrospermopsin measurement (Törökné et al. 2004) but developed further in our laboratory (Spoof et al. 2006). These investigations showed that cell-bound CYN was successfully extractable from freeze-dried cyanobacterial cells by either aqueous or methanolic solvents. Extraction by acidified methanol resulted in clear HPLC-diode array UV detection (DAD) chromatograms with low amounts of co-extracted compounds eluting in the vicinity of CYN (Spoof et al. 2006).
The analysis of lake water samples for CYN was conducted in the following manner: 200 mL water samples were filtered on a 47 mm diameter GF/C Whatman filter, freeze-dried and stored at −20 °C until the CYN analysis. The filter was cut with a scalpel in two halves. One half of the filter was extracted with 1.2 mL of methanol containing 0.1 % trifluoroacetic acid (TFA) (protein sequence analysis grade; Fluka, Buchs, Switzerland) in a bath sonicator (Bandelin Sonorex RK 156, Berlin, Germany) for 15 min. The samples were further treated with a probe sonicator (Bandelin Sonopuls HD 2070 with a 3 mm microtip, 30 % pulse, 30 % energy) for 1 min on ice. The extracts were then centrifuged at 10,000 × g for 10 min, and 600 μL of the supernatant was evaporated with argon at 40 °C (the remaining supernatant was kept for possible further analyses). The dry residue was resuspended in 200 μL of water and clarified by centrifugation before analysis by HPLC-DAD and HPLC–mass spectrometry (MS)/MS.
Appropriate quality assurance as described below consisted of the following assessments: (a) the stability of CYN during the extraction procedure, (b) the efficiency of the extraction procedure, (c) the precision of the complete analytical procedure, and (d) the repeatability of the complete analytical procedure. Addressing the points (a) and (b) contributed to the accuracy of the analysis. The accuracy was further improved by using a Certified Reference Material of CYN. The quality assurance was complemented by calculation of chromatographic parameters and detection limits.
-
(a)
The stability of CYN during the extraction procedure was verified in the following manner. Samples of 4 μg CYN in replicate were dissolved in 1.2 mL of extraction solvent, methanol containing 0.1 % TFA. A 200 μL sample was taken aside, evaporated to dryness, redissolved in 200 μL water, and analyzed for CYN by HPLC-DAD as detailed below. The remaining 1,000 μL sample was subjected to bath and probe sonication, evaporated to dryness, and redissolved in 1,000 μL methanol containing 0.1 % TFA. A 200 μL sample was again taken aside, evaporated to dryness, redissolved in 200 μL water, and analyzed for CYN. The remaining 800 μL sample was subjected to bath and probe sonication, evaporated to dryness, redissolved in 800 μL water, and analyzed for CYN. The results are reported in Table 2.
-
(b)
The efficiency of the extraction procedure was verified by sequential extraction of cyanobacterial samples derived from a culture of Anabaena lapponica 966. The samples to be extracted were prepared in the following manner: 100 mL samples of the culture were filtered on 47 mm diameter GF/C Whatman filters (n = 5) and freeze-dried. The filters were cut in two halves. One of the halves of each filter was extracted with 1.2 mL of methanol containing 0.1 % TFA using the bath and probe sonication procedure as described above. Seven hundred microliters were taken aside, clarified by centrifugation, and a part of the supernatant was concentrated threefold by evaporation and redissolving in water. This aqueous sample from the first extraction round was then analyzed for CYN by HPLC-DAD and HPLC-MS/MS. Seven hundred microliters of extraction solvent was added onto the remaining wet filter material (making up the total volume to 1.2 mL), and the probe sonication was repeated. Seven hundred microliters was again taken aside, clarified by centrifugation, and a part of the supernatant was concentrated threefold by evaporation and redissolving in water. The aqueous sample from the second extraction round was then analyzed for CYN. Seven hundred microliters of extraction solvent was again added onto the remaining wet filter material (making up the total volume to 1.2 mL), and the probe sonication was repeated for the third time. The extract was clarified by centrifugation, and a part of the supernatant was concentrated threefold by evaporation and redissolving in water. The aqueous sample from the third extraction round was then analyzed for CYN. The results are reported in Table 3.
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(c)
The precision of the complete analytical method was assessed by analyzing the CYN content in cultured samples of Anabaena lapponica 966 and C. raciborskii CSIRO 506. Two different densities of the cultures, here called full strength and dilute, were used for the assessment. Two hundred-milliliter samples (n = 5) were filtered on 47-mm GF/C filters, freeze-dried, cut in halves, extracted as described above, and analyzed by HPLC-DAD and HPLC-MS/MS. As it was impossible to pass 200 mL of the full-strength Anabaena 966 culture through the GF/C filter, only 100-mL samples were filtered in this case.
-
(d)
The repeatability of the complete analytical method, i.e., variation in analysis performed by a single person on replicate samples and under the same conditions, was assessed by extracting and analyzing a set of half filters on two different days. The results are reported in Table 4.
Cylindrospermopsin analysis by HPLC-diode-array UV detection
The chromatographic separation was performed using an Agilent (Waldbronn, Germany) 1100 series HPLC system consisting of a degasser, a quaternary pump, a column compartment thermostat set at 40 °C, and a diode array detector operated at 200–300 nm on a Merck (Darmstadt, Germany) Purospher STAR RP-18e column (55 × 4-mm I.D. with 3-μm particles) protected by a 4 × 2-mm C8 guard column. The mobile phase consisted of water (solvent A) and methanol (solvent B), both containing 0.05 % trifluoroacetic acid. The flow rate was 1.0 mL min−1 with the following linear gradient program: 0 min, 2 % B; 5 min, 2 % B; 5.1 min, 70 % B; 7 min, 70 % B; 7.1 min, 2 % B; stop time, 17 min. The injection volume was 10 μL. The cylindrospermopsin in the samples was identified by comparing the retention time (2.04–2.09 min depending on the individual column used) and UV spectrum (200–300 nm with an absorption maximum at 262 nm) with those of the pure cylindrospermopsin standard (CRM-CYN, Institute for Marine Biosciences (NRC-IMB), Halifax, Canada). Linearity of the standard curve was tested by analyzing undiluted 30 μM (12.5 μg mL−1) CRM-CYN as well as aqueous dilutions of CRM-CYN (1:10, 1:50, 1:100, 1:200). CRM-CYN and its aqueous dilutions were used as external standards embedded in the sample sequence. CYN concentrations in the extracted lake water samples were quantitated by a comparison of the CYN peak area to those of CRM-CYN and its aqueous dilutions.
HPLC-MS/MS analysis
The HPLC-MS/MS experiments were carried out on an Agilent Technologies (Waldbronn, Germany) 1200 Rapid Resolution (RR) LC coupled to a Bruker Daltonics HCT Ultra Ion Trap MS (Bremen, Germany) with electrospray (ESI) source. The 1200 RR LC system included a binary pump, a vacuum degasser, an SL autosampler, and a column compartment thermostat set at 40 °C. The separation of the toxins was achieved with a Supelco (Bellefonte, PA, USA) Ascentis C18 column, (50 × 3-mm I.D. with 3-μm particles) protected by a 4 × 2-mm C8 guard column. The mobile phase consisted of solvents A (99 % water, 1 % acetonitrile, 0.1 % formic acid) and B (acetonitrile, 0.1 % formic acid; following linear gradient program: 0 min 0 % B, 2.5 min 0 % B, 2.6 min 50 % B, 4 min 50 % B, 4.1 min 0 % B; stop time, 10 min). The flow rate was 0.5 mL min−1 and the injection volume was 5 μL.
The ion trap was operated utilizing the positive electrospray ion mode. The ion source parameters were set as follows: dry temperature, 350 °C; nebulizer pressure, 40 psi; and dry gas flow, 10.0 L min−1. The capillary voltage was set at 4.0 kV. The MS scan range was 395 to m/z 440 and an MS/MS fragmentation of the target mass m/z 416 was employed to obtain the MS/MS spectra. The ICC target was set to 200,000 with a maximum accumulation time of 100 ms.
Cylindrospermopsin was identified in the samples by comparing the retention time and the MS/MS fragmentation with those of pure cylindrospermopsin standards. CRM-CYN (30 μM) as well as 1:10, 1:25, 1:50, 1:100, 1:200, 1:400, 1:600, and 1:800 aqueous dilutions of CRM-CYN were used to test the linearity and the detection limits of the MS and MS/MS signals, and/or as standards to quantify CYN in the water samples. As there is no isotope-labeled CYN standard available, the CYN standards were embedded in the sample sequence as external standards. The standards consisted of pure CYN in water, and there was no attempt to use matrix-matched standards as the characteristics of the studied waters were highly heterogenous. The possible matrix effects in the lake water sample extracts were thus not addressed. However, as the samples injected were fairly dilute and the extraction solvent, acidified methanol, was chosen to minimize coeluting substances (Spoof et al. 2006), no heavy matrix effects were expected. Area-based quantitation of CYN in the lake water samples utilized the MS/MS transition from m/z 416 to m/z 194 characteristic for CYN. The retention time of CYN was 1.70–1.73 min (depending on the batch of eluents and the age of the column). The CYN concentrations obtained (micrograms CYN per liter) were subsequently standardized to wet weight biomass.
Molecular analysis
For the qualitative studies, two genes were selected: cyrJ (gene of sulfotransferases), which is specific for CYN-producing strains and had previously been used for preliminary molecular identifications of this type of cyanobacteria in two Polish lakes (Mankiewicz-Boczek et al. 2012) and the pks gene, which is required for the synthesis of polyketide metabolites in cyanobacteria (Schembri et al. 2001). For the quantitative analysis, the amidinotransferase coding cyrA gene (Mihali et al. 2008), was used. The gene is involved in the very first steps of cylindrospermopsin biosynthesis and has been confirmed as a suitable target for qPCR analysis also by others (Al-Tebrineh et al. 2012). Using more than one target gene is likely to be more reliable and give stronger evidence that toxigenic genotypes occurred in the sample when positive results are received. Moreover, if both cyrJ and cyrA genes are determined, it is more probable that a complete cyr cluster is present, than if only one target gene was used.
Qualitative analysis of cyrJ and pks genes
Sample preparation
The total genomic DNA was extracted from 72 water samples, six C. raciborskii cultures and 11 A. gracile cultures according to the methodology of Giovannoni et al. (1990), with some modifications described by Mankiewicz-Boczek et al. (2012).
Cyr J and pks genes amplification
The fragment of the sulfotransferase gene cyrJ (578 bp) was amplified with the primer pair cynsulfF (5′-ACTTCTCTCCTTTCCCTATC-3′) and cylnamR (5′ GAGTGAAAATGCGTAGAACTTG-3′), described previously by Mihali et al. (2008).
The fragment of the pks gene (422 bp) was amplified with the primer pair K18 (5′-CCTCGCACATAGCCATTTGC-3′) and M4 (5′-GAAGCTCTGGAATCCGGTAA-3′), described previously by Fergusson and Saint (2003).
The PCR was performed in a 25-μL reaction mix containing 1X PCR buffer (Qiagen), 2.5 mM MgCl2, 0.2 mM dNTPs (Qiagen), 10 pmol μL−1 of each primer (cyrJ gene) or 20 pmol μL−1 of each primer (pks gene), 1 μL of DNA (DNA concentration was in the range of 100–350 ng), 0.1 mg mL−1 concentration of bovine serum albumin (Fermentas) and 0.8–1 U of Taq DNA polymerase (Qiagen) in a Mastercycler gradient (Eppendorf). An initial denaturation step at 94 °C for 3 min (cyrJ gene) or 5 min (pks gene) was followed by 30 cycles of DNA denaturation at 94 °C for 10 s, primer annealing at 57 °C (cyrJ gene) or 60 °C (pks gene) for 20 s, strand extension at 72 °C for 1 min and a final extension step at 72 °C for 7 min. The PCR products were separated by 1.5 % agarose gel electrophoresis and stained with ethidium bromide (0.5 ng L−1).
Quantitative analysis of the cyrA gene
Sample preparation
Twenty-milliliter aliquots of water samples were filtered onto 25-mm diameter GF/C filters (Whatman, UK), washed once with 20 mL of deionized water and stored frozen in 2-mL tubes (−20 °C) until further processing. The filters were suspended in 1.5 mL of sterile deionized water and heated for 10 min at 80 °C to release DNA from the cyanobacterial cells. The liquid was transferred to new tubes and kept frozen (−20 °C) until the qPCR analysis of the cyrA gene.
CyrA gene amplification
The primers used to amplify a 103-bp fragment from the cyrA gene (cyrAdF1 (5′-GGGACAAAAGTACAATCAATGTGGG-3′) and cyrAdR1 (5′-TTCGCTGGCTCAAACGGC-3′)), as well as a probe–quencher oligonucleotide pair (cyrAPC (5′-aminoC6-CTAGTGGGAAGTGAATATCATGCACG-Phos-3′) and cyrAQC (5′-TGATATTCACTTCCCACTAG-BHQ1®-3′)), were designed to hybridize with both Cylindrospermopsis and Aphanizomenon sequences and were based on cyrA sequences available in the GenBank Nucleotide database (retrieved in February 2010). All the oligonucleotides were manufactured by Biomers.net, Ulm, Germany. The probe was labeled at the amino-modified 5′-end with an intrinsically fluorescent terbium chelate, as described previously by Nurmi et al. (2002).
The quantitative PCR was performed in a 20-μL qPCR reaction mixture consisting of DyNAzyme II HotStart buffer, 0.4 mM dNTPs, 0.2 U of DyNAzyme II HotStart polymerase (all supplied by Finnzymes, Espoo, Finland), 0.4 μM primers, 20 nM probe, 280 nM quencher, and 4 μL of template. The remaining reaction volume of 20 μL was filled with sterile deionized water. All reactions were run on ThermoFast 96 Robotic PCR Plates (Abgene, Surrey, UK) with Applied Biosystems Optical Caps (Foster City, CA, USA). The quantification standards, cyrA PCR products from C. raciborskii CS-505 (CSIRO, Hobart, Australia), were produced in PCR reactions as described above (without probe and quencher), purified with a Qiaquick PCR purification kit (Qiagen, Hilden, Germany) and quantified with a Quant-iT PicoGreen dsDNA kit (Invitrogen Molecular Probes, Eugene, OR, USA) according to the manufacturer’s instructions. The initial denaturation at 95 °C for 5 min was followed by 40 cycles of denaturation at 95 °C for 30 s, 62 °C for 1 min and a lowering of the temperature to 35 °C for 15 measurements every second cycle beginning after cycle 8. The thermal cycling was performed in a PTC-200 Peltier Thermal Cycler (MJ Research, Watertown, MA, USA), and the measurements were recorded with a Victor2 Multilabel Counter (PerkinElmer Life Sciences, Wallac, Turku, Finland) using the standard protocol for time-resolved measurement of Tb fluorescence. The reactions were further assessed for PCR products of the correct size with 2 % agarose gel electrophoresis that was stained with ethidium bromide (0.5 ng L−1). Purified cyrA PCR products were used to generate the standard curve. A dilution series of 107, 106, 105, 104, 103, 102, 101 and five copies of cyrA amplicon per reaction were used to generate the standard curve (triplicate reactions in three separate runs). Threshold cycles (Ct) were plotted against log cyrA copy numbers (y = −3.358x + 38.961, R 2 = 0.999). The efficiency (E) was calculated from the slope of the linear regression (\( \begin{array}{*{20}c} E={10^{{\left( {-1/\mathrm{slope}} \right)}}}-1 \hfill \\ \hfill \\\end{array} \), where the value 1.00 corresponds to an efficiency of 100 %).
The cyrA copies per liter of lake water obtained (copies cyrA per liter) were subsequently standardized to A. gracile wet weight biomass parameter (copies cyrA per milligram).
CyrJ gene sequence analysis
The PCR-generated fragments of cyrJ from the A. gracile culture from Strzyżewskie Lake were used for sequencing according to Mankiewicz-Boczek et al. (2012). The homology searches were performed using the National Center for Biotechnology Information microbial and nucleotide Basic Local Alignment Search Tool (BLAST) network service (http://blast.ncbi.nlm.nih.gov/Blast.cgi) (Zhang et al. 2000).
Data analysis
We assumed the HPLC-MS/MS data to be the most reliable and the least prone to false positive results (Bláhová et al. 2009); therefore, only these CYN data were used for statistical analysis.
General linear models (GLMs) for explaining the variability in the amount of cylindrospermopsin in the water were constructed from the measured physicochemical variables as well as total algal biomass separately for the two sampling periods. All variables (except pH) were log-transformed prior to analyses in order to improve the normality in the residuals. The best-approximating models were identified using the Akaike’s Information Criterion (AIC, Burnham and Anderson 2002). Model selection was conducted using both backward and forward procedures in R (www.r-project.org, function stepAIC).
Spearman rank correlation coefficients analysis was carried out to examine the correlation between particulate concentrations of CYN and the number of cyrA gene copies and the biomass of potential CYN-producers, as well as between concentrations of CYN and the percent biomass contribution of these cyanobacteria species to the total phytoplankton biomass. The statistical analyses were performed using the Statistica v. 8 software package (StatSoft, Poland).
T test was conducted to determine whether the lakes in which CYN was detected differed physicochemically from the lakes from which it was absent and to determine whether CYN concentration detected in lakes differed between two studied periods. Prior to analysis, variables were log-transformed to better approximate normality of the residuals.
Results
Cylindrospermopsin concentration
Evaluation of chromatographic methodology
CYN in purified form was considered to be stable in the conditions used for the extraction (Table 2). Concerning the extraction of the filtered water samples, one extraction round gave the highest CYN recoveries (Table 3). The lower cumulative CYN values observed during the subsequent extraction rounds were unexpected but thought to result from CYN adsorption onto various surfaces during the manipulations of the extracts. The values detected by HPLC-DAD were somewhat higher than those detected by HPLC-MS/MS (Tables 3 and 4) indicating either a co-elution of an interfering peak in HPLC-DAD or matrix-caused ionization suppression of CYN in HPLC-MS/MS. As more diluted samples gave homogenous results between the HPLC-DAD and HPLC-MS/MS analysis (Table 4), it is obvious that ion suppression was causing the lower values as detected by HPLC-MS/MS. The precision of the complete analytical procedures fulfilled the needs of this study as the relative standard deviations were typically below 20 % and in many cases much better (Table 4). Parameters relating to the chromatographic performance and detection characteristics (limits of detection and quantitation, linearity) of the methods are given in Table 5.
Water samples
The ELISA tests revealed CYN presence in 16 and 15 out of 36 lakes at the beginning and end of the summer, respectively, with concentrations ranging from 0.04 to 2.1 μg L−1. In 12 lakes, this toxin was found during both seasonal periods. In general, the concentration of dissolved CYN was higher than the particulate concentration (Tables 6 and 7).
The extracted ion chromatograms (Fig. 2) and the characteristic MS/MS fragmentation pattern of CYN (Fig. 3a, b) confirmed the ELISA results of particulate CYN in six lakes at the beginning of the summer and nine lakes at the end of the summer (including trace levels). In addition, the HPLC-MS/MS revealed the presence of CYN in three lakes that were not detected by ELISA. The particulate concentrations of CYN detected by HPLC-MS/MS were lower in many samples than those identified by ELISA, ranging from trace levels to 3.0 μg L−1 (Tables 6 and 7).
The HPLC-DAD method (with a detection limit of 0.23 μg L−1) revealed CYN in six of these positive results, ranging from 0.28 to 3.13 μg L−1.
During both study periods, the maximum particulate CYN content reached 1 μg mg−1 wet weight.
CYN was widely present in lakes differing in productivity and mixing regime, with a more frequent occurrence in polymictic lakes (Tables 6 and 7). However, the t tests indicated that the lakes in which CYN was detected did not differ significantly from those in which it was absent regarding physicochemical properties, such as, the mean and maximum lake depth, surface area, nutrient, and chlorophyll a concentrations, pH, water temperature, conductivity, and visibility. Moreover, t test indicated that CYN concentration did not differ significantly between the study periods.
The best-approximating linear models for explaining the amount of cylindrospermopsin in the water incorporated a wide range of factors such as lake area and depth as well as water temperature, visibility, and nutrient concentrations. The best models explained ca. 18 % and 31 % of the variability in the amount of cylindrospermopsin in the beginning of the summer and in the end of the summer, respectively. Analyses revealed that later in the summer, the amount of cylindrospermopsin was related to many nutrient components such as phosphate (positively) and ammonium (positively) while in the beginning of summer cylindrospermopsin was only related to nitrate (negatively). Cylindrospermopsin was related positively to amount of total algal biomass in the studied lakes only in the beginning of the summer (Table 8).
A. gracile and C. raciborskii cultures
Using the HPLC-MS/MS method, particulate CYN was detected in two out of the 11 strains of A. gracile that were isolated and cultured from the studied lakes (Table 9). At the same time, using this method, none of the six isolated C. raciborskii strains showed positive results for particulate CYN. One positive result among the C. raciborskii cultures was obtained using the ELISA method (Table 9).
Phytoplankton analysis
Phytoplankton in the CYN-containing lakes was typically dominated by cyanobacteria. Of the known potential CYN producers, C. raciborskii, Anabaena bergii, A. gracile, A. flos-aque, and A. ovalisporum were detected. A. gracile was the most common and occurred in all lakes where CYN was detected in both sampling periods (Tables 6 and 7). C. raciborskii was present in nine lakes, A. flos-aquae in six, and Anabaena bergii in one of the CYN-positive lakes. A. ovalisporum occurred more sporadically and did not occur in lakes where CYN was detected. Among the CYN producers, the biomass of A. gracile was highest and positively correlated with CYN concentration at both the beginning of the summer (r = 0.51, P < 0.05) and the end of the summer (r = 0.61, P < 0.05). Additionally, relative contribution of the A. gracile biomass to the total phytoplankton biomass was positively correlated with CYN concentration during both periods (r = 0.53, P < 0.05 and r = 0.61, P < 0.05, respectively). The biomass of other potential CYN producers was much lower and was not significantly correlated with the CYN concentration.
Description of A. gracile and C. raciborskii isolates
The morphology of A. gracile and C. raciborskii isolates meet the morphological criteria provided by Hindak (2000), Komárek and Komárkova (2003, 2006). The A. gracile isolate has a metameric structure—the trichomes are straight, solitary, constricted at cross-wall, and slightly narrowed to the ends (Fig. 4). The cells are short and cylindrical (5–7-μm long and 2–3-μm wide) with many small granules and gas vesicles. The apical cells are slightly rounded or conical (3–4-μm long and 1.5–2-μm wide). The heterocytes are solitary, intercalar, generally short and cylindrical, sometimes nearly spherical (3.5–5 μm). The akinetes are distant from heterocytes, intercalar, cylindrical, and rounded at the poles. They are solitary and always longer (10–20 μm) than wide (4.5–6.5 μm).
The trichomes of the C. raciborskii isolate are always straight, solitary, slightly constricted at cross-wall. Vegetative cells with well-developed aerotopes are longer (4–13 μm) than wide (2–4 μm). The heterocytes always developed at the end of trichomes, ovoid, conical, or drop-like shape. The akinetes are oval to cylindrical with rounded ends and granular content occur near the end of trichome (Fig. 5).
Molecular studies
Water samples
The cyrJ, cyrA, and pks genes associated with CYN production were detected in 25 out of 36 lakes in both sampling periods. The cyrJ and cyrA genes were detected in 17 and 12 lakes, respectively, in June–July (Table 6) and in 18 and 15 lakes, respectively, in August–October (Table 7). In turn, the pks gene was identified in 19 lakes at the beginning (Table 6) and 20 lakes at the end of summer (Table 7). In 13 lakes, all three genes were amplified, including 11 samples at the beginning and 13 samples at the end of the summer (Tables 6 and 7).
All the cyrA PCR products were identified as cyrA based on both the correct size (electrophoresis) and the sequence (qPCR probe). The linear range of detection was 5 × 100 to 1 × 107 cyrA copies per reaction, corresponding to 9.37 × 104 to 1.87 × 1011 cyrA copies per liter of lake water. The average amplification efficiency derived from the slope of the standard curve was 98.5 % (sd, 1.2 %).
The cyrA copies per liter of lake water were significantly positively correlated with A. gracile biomass during beginning of summer (ρ = 0.63, p < 0.05), but the correlation disappeared by the end of summer. Also in the beginning of summer, the cyrA copies referred as gene copies per wet weight biomass of A. gracile, were weakly positively associated with CYN content per cell (ρ = 0.39, p < 0.05), but likewise the correlation was not observed at the end of summer.
A. gracile and C. raciborskii cultures
The cyrJ and/or pks genes were determined in five out of 11 of the A. gracile cultures and in two out of six of the C. raciborskii cultures. Both the cyrJ and pks genes were detected in DNA isolated from A. gracile cultures from the following lakes: Witobelskie, Grylewskie, Strzyżewskie, and Szydłowskie (Table 9).
To confirm the source of the cyrJ gene detected in the water and culture samples, the PCR products from the A. gracile culture from Strzyżewskie Lake were subject to cloning and sequencing. The BLAST homology search revealed that the study sequence is 99 % similar to the cyrJ gene of toxic Aphanizomenon sp., strain 10E6 (locus/GenBank accession number GQ385961).
Discussion
Knowledge about CYN and its occurrence in Europe has significantly increased during the last decade; however, only a few previous studies have examined a large number of lakes (Fastner et al. 2007; Spoof et al. 2006; Messineo et al. 2009; Bláhova et al. 2009). To our knowledge, the present study is the first to examine CYN occurrence and concentrations across large number of lakes at the northeastern limit of the geographical range of C. raciborskii, the potential producer of CYN toxin. Most of the study lakes are used for recreation or they constitute important water supply reservoirs for agriculture farms. These lakes range from meso- to highly eutrophic based on their nutrients levels, chlorophyll a concentrations and Secchi depth visibility. High trophy is due to spatial inflow of nutrients from the cultivated areas and direct waste discharge from agriculture farms during the last decades. The rapid changes of phytoplankton community structure triggered for example by cyanobacteria invasions and toxin production may introduce new threats for human health and disturb ecosystem functioning. Therefore, information on the occurrence and concentration of CYN in natural waters is valuable for evaluation of possible risks for humans and wildlife.
CYN was detected in almost 40 % of the studied lakes, therefore revealing a broader distribution than expected. The previous large-scale studies conducted, for example, in the Czech Republic, Italy, and Finland revealed a narrow distribution of CYN among the studied lakes (Bláhova et al. 2009; Messineo et al. 2009; Spoof et al. 2006). Present results are highly congruent, however, with the study of German lakes, where the common occurrence of CYN (50 % of analyzed lakes) has been documented (Fastner et al. 2007).
There are no enforced or ISO-standardized methods for CYN analysis. Therefore, we decided to use several parallel methods in order to achieve reliable results. Screening for CYN was performed with commercial ELISA which has partially unknown cross-reactivity. Trace analysis specifically targeting CYN was performed with HPLC with diode array UV detection (HPLC-DAD) (criteria for identification: retention time and UV spectrum match with CRM-CYN) and HPLC-tandem mass spectrometry (HPLC-MS/MS, criteria for identification: retention time and fragmentation pattern match with CRM-CYN).
The dissolved CYN concentrations determined by ELISA in our study were higher than the particulate concentrations in most samples, which is in line with other studies (Chiswell et al. 1999; Shaw et al. 1999; Rücker et al. 2007; Wiedner et al. 2008) and indicates both the slow degradation of CYN in the water (Chiswell et al. 1999) and its high water solubility (Sivonen and Jones 1999). The dissolved CYN concentrations determined by ELISA were lower than the values reported from Australia (Chiswell et al. 1999; Shaw et al. 1999) and Germany (Rücker et al. 2007). There are no official regulations established by WHO concerning CYN concentration in drinking water. Some of the concentrations of CYN observed in this study were, however, higher than the provisional Water Guideline Level of 1 μg L−1 proposed in some countries including Canada (Svrcek and Smith 2004) and Australia (Humpage and Falconer 2003).
The particulate CYN values determined by the ELISA and HPLC-MS/MS were qualitatively highly concordant. However, there were quantitative differences between these two methods as ELISA values were higher in most samples than those detected by HPLC-DAD and HPLC-MS/MS. This might result from undesired cross-reactivity of the antibodies used in ELISA towards, e.g., CYN precursors or other compounds structurally related to CYN. The results of the two chromatographic methods were qualitatively and quantitatively comparable at the higher toxin levels. The detection limit of HPLC-DAD is higher than those of LC-MS/MS or ELISA. At low toxin levels (depending on the lake matrix but generally speaking below 0.5–1 μg CYN per liter original lake water sample) the usefulness of the employed HPLC-DAD technique is limited because there is matrix interference and coelution.
There were some positive results from ELISA tests that were not confirmed by the other two methods, e.g., in two C. raciborskii cultures. Similar discrepancies were observed by Bláhova et al. (2009). The differences between these methods may result from matrix effects influencing the ELISA test, e.g., the possible cross-reactivity of antibodies with unidentified CYN congeners or isomers in the samples (Yilmaz et al. 2008). Despite this possibility, the present study demonstrated ELISA testing to be a reliable screening method that should, however, be confirmed by HPLC-MS/MS or HPLC-DAD. The particulate CYN concentrations detected by the HPLC-MS/MS method reach up to 3.0 μg L−1. This is higher than the drinking water guideline value of 1 μg L−1 that was proposed for total CYN by Humpage and Falconer (2003) and is higher than the maximal concentrations (1.79 μg L−1) observed earlier in this region (Kokociński et al. 2009). However, the observed particulate CYN concentrations are much lower than the particulate concentrations observed in Australia and Florida (Chiswell et al. 1999; Shaw et al. 1999) or Spain (Quesada et al. 2006) and Italy (Messineo et al. 2009). In contrast, generally lower values of particulate CYN were observed in Germany (Rücker et al. 2007; Wiedner et al. 2008). Overall, when considering total CYN concentrations, the observed values were comparable to the commonly found concentrations of 1–10 μg L−1 reported by Falconer and Humpage (2006).
To date, very few studies have investigated the relationship between CYN concentration and environmental factors potentially affecting its production. Experimental studies were focused, e.g., on effects of temperature (Saker and Griffiths 2000), nitrogen (Saker and Neilan 2001), or light (Dyble et al. 2006). Our study showed that CYN was detected in lakes that differed widely in terms of productivity, mixing regime, and morphological parameters, but its distribution did not show any distinct spatial pattern across the investigated lakes (Fig. 1). The t tests indicated that the CYN-positive lakes (i.e., lakes where it occurred) did not differ environmentally from the CYN-negative lakes. Moreover, CYN concentrations did not differ significantly between the sampling periods, indicating the ability of the cyanobacteria to produce CYN during the whole summer period under different environmental conditions. Furthermore, GLMs showed a weak relationship between CYN and the selected environmental factors and contrasting relationships between CYN concentration and environmental factors in the two study periods. This is in line with another recent study where no strong correlation between morphometrical or environmental factors and CYN occurrence was observed (Rücker et al. 2007). According to GLM analyses, CYN was weakly positively related to different mineral forms of nutrients, especially in the end of summer. Conversely, a study by Saker and Neilan (2001) showed intermediate concentration of CYN in C. raciborskii cultures supplied with nitrate and lowest values when supplied with ammonium. These differences could be associated with the different potential producers of CYN in these studies, contradicting in nutrient demands as presented recently by Dolman et al. (2012). In addition to nutrients, our study showed that temperature was positively related to CYN concentration in both studied periods. The role of temperature was recently indicated also by Burford and Davis (2011). However, our work showed that the highest amount of CYN was detected at temperature ranging from 24.7 to 26.5 °C, which disagrees with earlier experimental studies by Saker and Griffiths (2000) and Preußel et al. (2009) who observed the highest CYN concentrations at 20 °C and pronounced reduction of CYN production at increasing temperatures. These contrasting results could be due to the different CYN producers examined in these studies and different regulatory mechanisms of CYN-producing strains involved (Wiedner et al. 2008).
Of the potential producers of CYN, A. flos-aque, A. gracile, A. ovalisporum, Anabaena bergii, and C. raciborskii were identified in the studied lakes. A. gracile and C. raciborskii being the most common phytoplankton species in the lakes. Moreover, only the biomass of A. gracile and its contribution to total phytoplankton biomass were positively correlated with particulate CYN concentrations during both sampling periods and cyrA gene copies during the beginning of summer. The positive correlation coefficient between A. gracile and CYN concentration has also been reported for German freshwater lakes (Rücker et al. 2007; Wiedner et al. 2008).
The occurrence of toxigenic genotypes of cyanobacteria capable of producing CYN was confirmed by molecular analysis. All three genes, cyrA, cyrJ and pks, were amplified in almost all of the CYN-positive samples. The cyrJ sulfotransferase gene, in particular, has previously been shown to be reliable for the identification of CYN-producing cyanobacteria (Mihali et al. 2008; Ballot et al. 2011; Mankiewicz-Boczek et al. 2012). This study supports the notion that especially cyrJ, but also cyrA, can be used as suitable qualitative genetic markers for the determination of toxigenic (potentially toxic) genotypes and therefore can be used to assess the potentiality of cyanobacteria to produce CYN in Polish lakes. Although the cyrA gene has been previously associated with false positive results (Ballot et al. 2011), in this study, the rates of misidentifications for cyrA and cyrJ were similar. The pks gene was more prone to false positives; it was detected in two C. raciborskii cultures and many environmental samples, which, however, were CYN negative. In contrast to the findings of recent work, which compared CYN concentrations to the number of cyrC copies per cell in C. raciborskii (Orr et al. 2010), the number of cyrA gene copies referred as gene copies per cell was only weakly correlated with particulate CYN cell content in the beginning of summer, indicating that the amount of CYN was not quantitatively related to the number of cyrA gene copies. The lack of the correlation may suggest that non-CYN-producing strains of this cyanobacterium were more abundant than toxic genotypes and that the proportions of these genotypes varied from lake to lake, which is likely, since the correlation between cyrA and A. gracile biomass was shown to vary between the sampling times. Natural variability in gene cell quotas between different species and strains has been shown to vary greatly, a factor which is likely to have an effect on determining correlations between toxin and gene contents (Orr et al. 2010). Additionally, we assumed that CYN was exclusively produced by A. gracile, and calculations of gene and CYN cell quotas were made on that basis. Although the cyrA primers and probe used here are capable of detecting Cylindrospermopsis as well as Aphanizomenon, the proportion of the former in the lake biomass was generally very small and earlier studies have indicated that Cylindrospermopsis is not likely to be a major CYN-producing genus in Europe (e.g., Mankiewicz-Boczek et al. 2012). Another possibility to explain the lack of correlation is that there could have been other previously unidentified potential CYN producers in the investigated lakes.
To confirm the identity of the producer of CYN in the studied lakes, the toxicity and toxigenicity of the isolated strains of A. gracile and C. raciborskii were determined. These analyses (i.e., HPLC-MS/MS and gene amplification) showed that none of the isolated C. raciborskii strains had the ability to produce CYN, which is in line with other studies on European strains of this cyanobacterium (Fastner et al. 2003; Bernard et al. 2003; Saker et al. 2003; Antal et al. 2011; Mankiewicz-Boczek et al. 2012). Although, in two cultures of C. raciborskii, the pks gene was detected, but due to its non-specificity (Schembri et al. 2001) and lack of amplification of the cyrJ gene and CYN production, this result was not considered relevant to the study.
CYN occurrence (by HPLC-MS/MS) and toxigenicity (by gene amplification) were observed in A. gracile strains isolated from Lakes Strzyżewskie and Szydłowskie, where CYN and all three of the analyzed genes had been observed in the environmental samples. Moreover, the BLAST homology search revealed that the sequence of the amplified cyrJ gene from the A. gracile culture from Lake Strzyżewskie was 99 % similar to the cyrJ gene of the toxic Aphanizomenon sp. strain 10E6 from Germany, which was described by Stüken and Jakobsen (2010). Using both morphological characteristics (Hindak 2000; Komárek 2010) and molecular approaches (Ballot et al. 2010), A. gracile and A. flos-aque are recognized as two separate species. Based on the first criteria, the studied strain from Lake Strzyżewskie was identified as A. gracile. To our knowledge, this is the first report of a cylindrospermopsin-producing strain of A. gracile in Polish lakes. Our results confirm the earlier observation of A. gracile being a major potential producer of CYN in German lakes (Rücker et al. 2007; Wiedner et al. 2008).
The genes cyrJ and pks were detected also in the other three cultures of A. gracile, but CYN was not produced perhaps due to the regulation of the translation process. Also, changes in growing conditions, such as light intensity, may have influenced the activity of toxic genotypes (Kaebernick et al. 2000). Moreover, similarly to microcystins (Mikalsen et al. 2003), regulation of the synthesis of CYN at the level of translation may have caused the lack of toxin production despite the expression of genes participating in toxin synthesis.
In summary, the present work revealed that CYN commonly occurred in lakes of western Poland throughout the whole summer under varying environmental conditions. Amount of mineral forms of nutrients and temperature seemed to play an important role in CYN production in the investigated lakes. The observed values of particulate CYN were lower than the values reported from Australia, North America, Spain, or Italy but higher than the values observed in Germany. Molecular analysis confirmed the presence of CYN-producing cyanobacteria in the samples in which CYN was detected. Based on HPLC-MS/MS and molecular studies of the A. gracile cultures, A. gracile was found to be the major producer of CYN in the studied lakes. Further studies should be conducted to identify all the potential CYN-producing species and to understand the influence of CYN production on aquatic ecosystems. Monitoring of cylindrospermopsin and its potential producers should be undertaken since CYN constitutes a risk for humans and wildlife.
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Acknowledgments
The financial support was provided by Polish Ministry of Science and Higher Education through research grants no. N N 304 020 437 and N N 304 014 539. In addition, financial support from Tekes to the Finnish authors, decision number 40193/09, is gratefully acknowledged. We thank Prof. Hindak from the Institute of Botany, Slovak Academy of Sciences for his help in cyanobacteria identification and Niina Perälä, Department of Biotechnology, University of Turku, for the technical assistance in molecular studies.
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Kokociński, M., Mankiewicz-Boczek, J., Jurczak, T. et al. Aphanizomenon gracile (Nostocales), a cylindrospermopsin-producing cyanobacterium in Polish lakes. Environ Sci Pollut Res 20, 5243–5264 (2013). https://doi.org/10.1007/s11356-012-1426-7
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DOI: https://doi.org/10.1007/s11356-012-1426-7