Literature DB >> 27834904

Chemical and Genetic Diversity of Nodularia spumigena from the Baltic Sea.

Hanna Mazur-Marzec1, Mireia Bertos-Fortis2, Anna Toruńska-Sitarz3, Anna Fidor4, Catherine Legrand5.   

Abstract

Nodularia spumigena is a toxic, filamentous cyanobacterium occurring in brackish waters worldwide, yet forms extensive recurrent blooms in the Baltic Sea. N. spumigena produces several classes of non-ribosomal peptides (NRPs) that are active against several key metabolic enzymes. Previously, strains from geographically distant regions showed distinct NRP metabolic profiles. In this work, conspecific diversity in N. spumigena was studied using chemical and genetic approaches. NRP profiles were determined in 25 N. spumigena strains isolated in different years and from different locations in the Baltic Sea using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Genetic diversity was assessed by targeting the phycocyanin intergenic spacer and flanking regions (cpcBA-IGS). Overall, 14 spumigins, 5 aeruginosins, 2 pseudaeruginosins, 2 nodularins, 36 anabaenopeptins, and one new cyanopeptolin-like peptide were identified among the strains. Seven anabaenopeptins were new structures; one cyanopeptolin-like peptide was discovered in N. spumigena for the first time. Based on NRP profiles and cpcBA-IGS sequences, the strains were grouped into two main clusters without apparent influence of year and location, indicating persistent presence of these two subpopulations in the Baltic Sea. This study is a major step in using chemical profiling to explore conspecific diversity with a higher resolution than with a sole genetic approach.

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Keywords:  Baltic Sea; Nodularia spumigena; PC-IGS; chemotaxonomy; cyanobacteria; non-ribosomal peptides

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Year:  2016        PMID: 27834904      PMCID: PMC5128752          DOI: 10.3390/md14110209

Source DB:  PubMed          Journal:  Mar Drugs        ISSN: 1660-3397            Impact factor:   5.118


1. Introduction

Nodularia spumigena is a bloom-forming, filamentous and N2-fixing cyanobacterium from the Nostocales order. This species occurs in many brackish waters worldwide, but most extensive blooms are reported in estuaries, lagoons and inland waters of Australia and New Zealand [1,2,3], and the Baltic Sea [4]. These blooms are toxic due to the production of the cyclic pentapeptide nodularin (NOD), and can have negative impacts on ecosystems and water quality [5,6]. In addition to nodularin, N. spumigena produces a wide range of chemically diverse non-ribosomal peptides (NRPs) [7]. Due to the high morphological diversity of planktonic Nodularia [8,9], four species of this cyanobacterium were distinguished: N. spumigena, N. baltica, N. litorea and N. crassa [10]. Based on the analysis of 16S rRNA gene sequences coupled to taxonomic studies, it is currently accepted that only the species N. spumigena is present in the Baltic Sea plankton [11]. Within the species, many distinct phenotypes can co-exist with different morphological, biochemical and physiological traits [9,11,12,13,14]. Whether the metabolic diversity of NRPs in N. spumigena is related to genetic diversity has not been tested. N. spumigena constitutes a prolific source of bioactive secondary metabolites classified as non-ribosomal peptides (NRPs). Biosynthesis of these compounds proceeds on large multienzyme complexes called non-ribosomal peptide synthetases (NRPS), composed of several modules [15,16]. Some cyanobacterial peptides, such as microcystins and nodularins, are synthesized by a hybrid nonribosomal peptide and polyketide pathway. Polyketide synthases (PKSs) are also composed of modules which catalyze the activation, incorporation and optional modification of the carboxylic acid components of a peptide. The structure of NRPSs and PKSs as well as function of peptides synthesized on these enzyme complexes have been discussed in many review papers [17,18]. It was suggested that the metabolites might perform interchangeable and complementary functions and help cyanobacteria to survive under different biotic and abiotic factors [19]. In N. spumigena, five classes of non-ribosomal peptides have been identified: linear spumigins [20,21], aeruginosins [7,22], pseudoaeruginosins [23], cyclic nodularins [24], and anabaenopeptins [16,20]. Spumigins (SPUs) are linear tetrapeptides (Figure 1a) with hydroxyphenyl lactic acid (Hpla1) in N-terminal position, Arg4 or Arg mimetics in C-terminus and (2S, 4S)-4-methylproline (MePro) or Pro in position 3. In the least conserved position 2, hydrophobic d-amino acid: homo-tyrosin (Htyr), homo-phenylalanine (Hph), Leu or Tyr were present. Aeruginosins (AERs) produced by N. spumigena have a unique feature of having short fatty acid chains in position 1 (Figure 1b). All of these peptides possess Tyr and a 2-carboxy-6-hydroxyoctahydroindole (Choi) in positions 2 and 3, respectively. Like in spumigins, in the C-terminus of aeruginosins, different Arg mimetics were found. The two known pseudoaeruginosins (NS1 and NS2) contain hexanoic acid1, Tyr2, MePro3, and argininal4 or argininol4 [23] (Figure 1c). Thus, they differ from aeruginosins in the residue, which occupies position 3. Nodularin, the hepatotoxic pentapeptide, is the most commonly studied N. spumigena metabolite; several variants of the compound with different degrees of methylation have been identified [24]. Anabaenopeptins (APs) are composed of a five-unit ring structure and the exocyclic amino acid linked with d-Lys through the ureido bound (Figure 1d). In many APs, a homo-amino acid is present in position 4 and an N-methylated amino acid in position 5. Anabaenopeptins produced by N. spumigena are characterized by the presence of Met or Ser in position 6 and are called nodulapeptins [20]. So far, the production of at least 87 APs by cyanobacteria has been documented, of these 22 were detected in N. spumigena [25].
Figure 1

Structure of peptides produced by Nodularia spumigena from the Baltic Sea: spumigin (SPU 582a; a), aeruginosin (NAL2; b), pseudoaeruginosin (NS2; c), and nodulapeptin (NP849; d).

In freshwater ecosystems, NRPs have been used to study the metabolic diversity (i.e., chemotypes) of potentially toxic cyanobacteria such as Microcystis [26,27] and Planktothrix [28,29]. There is evidence that within the same bloom event, conspecific strains producing different classes of NRPs and/or strains producing different structural variants of the same class of peptide co-exist [26,27]. As the profiles of the peptides are stable chemical markers, they have been used to distinguish phenotypically different sub-populations and trace their dynamics in freshwater ecosystems [28,30]. Recently, NRP profiles of brackish N. spumigena from the Baltic Sea (9 strains) and Australian (8 strains) waters were reported [7]. The authors concluded that the diversity of NRPs in the Baltic Sea was higher than in Australian waters. The Baltic Sea is one of the largest brackish water bodies in the world and is characterized by a strong horizontal salinity gradient. Blooms of N. spumigena occur along a salinity range of 5–15 PSU, however the geographical diversity of populations/sub-populations is unknown. Studies focusing on the diversity, distribution and dynamics of N. spumigena chemotypes (i.e., clusters of strains with similar NRP profile) will provide relevant insights into the ecology of summer cyanobacterial blooms in the Baltic Sea. In this study, we explored the different categories of chemotypes among 25 N. spumigena strains isolated from different locations in the Baltic Sea. The chemical diversity of the strains was determined based on the profile of 5 classes of NRPs belonging to spumigins, aeruginosins, pseudoaeruginosins, nodularins, and anabaenopeptins. The genetic diversity was assessed based on the sequences of the phycocyanin intergenic spacer and its flanking regions (cpcBA-IGS). The cpcBA-IGS sequences are characterized by a higher variability than the conserved 16S rRNA genes, and are thus suitable markers to explore the intraspecific variability in N. spumigena [31]. Finally, the grouping of the strains according to both chemical and genetic diversity was compared.

2. Results and Discussion

In the brackish Baltic Sea, cyanobacteria summer blooms are an abundant source of bioactive cyanobacterial peptides [25]. In the toxic N. spumigena, as in other cyanobacteria, the profiles of non-ribosomal peptides are strain specific [7,25]. Our study showed for the first time that chemical diversity of NRPs matches the genetic diversity of N. spumigena, regardless of geographical origin of the strains. We show that two core chemotypes/genetic clusters of this species are present in the Baltic Sea.

2.1. Non-Ribosomal Peptides and Peptide Profiles of Baltic Nodularia spumigena

Qualitative variation of NRPs among the 25 N. spumigena strains (Table S1) was tremendous as 60 NRPs were detected (Table S2). These include 14 spumigins, 5 aeruginosins, 2 pseudoaeruginosins, 2 nodularins, and 36 anabaenopeptins (Table S2). Many of these peptides have been previously reported [7,16,20,21,22,23,25]. However, new proposed structures of 7 anabaenopeptins (APs) and one cyanopeptolin-like peptide were characterized in this study (Table S2 and Figures S1–S8). The number of peptides detected in each N. spumigena strain varied from 10 (CCNP1430, CCNP1426 and KAC13) to 35 (AV1) (Table S3). Spumigins (SPUs), nodularins (NPs) and APs were detected in all 25 N. spumigena strains, whereas aeruginosins were not found in seven of them (Figure S9 and Table S3). These findings agree with previous studies [21,22,23]. Production of pseudoaeruginosins NS1 (m/z 531) and NS2 (m/z 533) was confirmed only in six strains (CCNP1402, BY1, CCY9414, AV1, KAC71, and KAC87), indicating that in N. spumigena this class of peptides belongs to the most rare ones. Despite a scarce production of aeruginosins and pseudaeruginosins in N. spumigena [22,23], the presence of genes involved in the biosynthesis of aeruginosins has been documented in all strains examined from the Baltic strains including BY1, AV1 and CCY9414 [22,23]. The analysis of the N. spumigena CCY9414 genome additionally indicated the presence of cryptic gene clusters encoding other, yet unknown peptides to be discovered [32]. The number of SPUs in each N. spumigena strain varied from 4 to 11 (Figure S9 and Table S3). Of these, SPU E (m/z 611), SPU F (m/z 597) and SPU D (m/z 599) were most common. The number of SPUs with Pro in the third position was higher (9/14) than with MePro (5/14). In the C-terminal position, argininal (Argal), the reduced form of Arg, occurred more frequently (8/14) than other forms. These results confirm the frequency of Argal in the structure of SPUs for the strains AV1 and CCY9414 reported by Fewer et al. [21]. According to these authors, the synthesis of SPUs is catalyzed by two multidomain NRPS proteins, composed of one SpuA module and three SpuB modules. The last module of SpuB contains C-terminal reductase domain (R), which catalyses the release of spumigins as peptide aldehyde [21]. It was suggested that Arg-containing SPU B (m/z 627) might be an artifact formed during extraction procedure [21]. As LC-MS/MS analyses of this particular peptide in our study were not reproducible, we decided to exclude the peptide from our diversity study. Aeruginosins produced by N. spumigena are characterized by the presence of short fatty acids in the N-terminus and l-Tyr in the second position [22]. Our study revealed the presence of only five AER variants (Table S2). In the N-terminus, they contain butanoic (m/z 559), hexanoic (m/z 603, 589, 587) or octanoic acid (m/z 615), but not acetic acid nor decanoic acid as identified in other N. spumigena strains [22]. In aeruginosins from other cyanobacteria, this position is occupied by Hpla or Pla [33]. In two N. spumigena strains, AV1 and CH307, Fewer et al. [22] identified 11 aeruginosin variants and depending on the presence of Argal or Argol residue, marked them as NAL or NOL, respectively. In four of the structures, pentose was located at Choi. Similarly to SPUs, in the structure of the identified AERs, in the C terminus, Argal was most common and occurred in three peptides, including the most abundant NAL2 (m/z 587). The preference of Argal in aeruginosin structure results from the presence of reductase domain in the C-terminal AerM module of the aeruginosin NRPS [22]. Pseudoaeruginosins, the third group of linear peptides produced by N. spumigena, were previously detected in 33 of the 62 examined strains from the Baltic Sea [23]. According to Liu et al. [23], NS1 and NS2 variants contained MePro in the third position and always occurred in pair. These observations were also made in our study, but the two compounds were detected in few strains (6/25), and only in those that produce APs with Ile in the exocyclic position (Figure S9 and Table S3), five from chemotype cluster A, CT_A, and one from chemotype cluster B sub-group B1, CT_B1). Based on the structure and the abundance of individual linear peptides, Liu et al. [23] divided N. spumigena strains into two groups: those producing SPUs with almost exclusively Pro in the third position and those producing mainly SPUs with MePro residue. In the latter strains, the presence of pseudoaeruginosins was revealed. Relative amounts of SPU with Pro and SPU with MePro in the Baltic N. spumigena strains were also roughly estimated in our studies (Table S4). In all pseudoaeruginosin-containing isolates, SPUs with MePro dominated or were at least as abundant as Pro-containing SPUs. However, the dominance of MePro in SPU was not always accompanied by production of pseudoaeruginosins (e.g., KAC7 or CCNP1427). On the other hand, in N. spumigena that produced solely or mainly Pro-containing SPUs, pseudoaeruginosins were not found (e.g., KAC64 or CCNP1401). Liu et al. [23] found a significant correlation between the presence of pseudoaeruginosins and the sum amount of MePro-containing spumigins and aeruginosins, and suggested that a hybrid structure of pseudoaeruginosins could result from the interactions between spumigin and aeruginosin biosynthetic pathways. The structural variety of anabaenopeptins detected in Baltic N. spumigena is high (36, including seven new variants) (Table 1 and Table S2). This is in contrast to Australian strains in which only three APs were detected [7]. In this study, the majority (32) of APs produced by N. spumigena strains are nodulapeptins (NPs); one of the following residues was found in position 6: l-methionine or its oxidized forms (methionine sufloxide (Met(O)), methionine sulfone (Met(O2)), l-serine or O-acetylserine (Ser(Ac)). In APs from a summer bloom sample dominated by N. spumigena [25], and in 4 strains from cluster subgroup CT_B2, position 6 was occupied by Phe (Table 1). In position 3, we frequently observed Val (16) or Ile (7), but Met or its oxidized form (12) were also present. Position 4 of the Baltic N. spumigena was relatively conserved, and in all APs was occupied either by Hph (20) or by Hty (6). In position 5, MeHty (20), MeHph (12) or MeAla (4) were identified. All APs produced by Baltic N. spumigena have consistently only one of two possible kinds of residue in the exocyclic position: Ile or Phe [7]. Using N. spumigena strain CCY9414, Rouhiainen et al. [16] demonstrated that conserved residue in position 1 is determined by a single starter module in the NRPS enzyme complex and by substrate specificity of adenylation domain that catalyzes the activation of the first amino acid in the peptide. Our findings take this evidence a step further: In our study, AP variants with Ile in the side chain (position 1) dominated and were detected in 20 of the 25 strains, indicating a conserved chemical trait among N. spumigena Baltic populations (Table 1 and Table S3).
Table 1

Anabaenopeptins (APs) produced by Nodularia spumigena strains from the Baltic Sea. APs are likely to structure chemotype clustering. Two chemotype clusters were identified CT_A and CT_B. In CT_B, different sub-groups were found CT_B1, CT_B2 and CT_B3. New peptide structures are denoted with an asterisk.

Chemotype ClusterN. spumigena StrainPeptide m/zAmino Acids Components
123456
CT_ACCNP1402, BY1, CCY9414, AV1, CCNP1427, CCNP1436, KAC7, KAC71932IleLysMetOHphMeHtyMetO
916aIleLysMetOHphMeHtyMet
914IleLysMetOHphMeHtyAcSer
900bIleLysMetHphMeHtyMet
898aIleLysMetHphMeHtyAcSer
898bIleLysMetOHphMeHphAcSer
884aIleLysMetHphMeHphMet
882aIleLysMetHphMeHphAcSer
882bIleLysIleHphMeHtyMet
880IleLysIleHphMeHtyAcSer
872IleLysMetOHphMeHtySer
856aIleLysMetHphMeHtySer
*840IleLysMetHphMeHphSer
CCNP1402, CCY9414, AV1, KAC71930IleLysMetO2HphMeHtyAcSer
CCNP1402, BY1, CCY9414, CCNP1427, CCNP1436, KAC7, KAC71856bIleLysMetOHphMeHphSer
CCNP1402, BY1, AV1, CCNP1427, CCNP1436, KAC7, KAC71*822IleLysIleHphMeHphSer
KAC71824IleLysValHphMeHtySer
AV1868IleLysValHphMeHtyMet
866IleLysValHphMeHtyAcSer
*864IleLysIleHphMeHphAcSer
*850IleLysValHphMeHphAcSer
CT_B1KAC70, KAC87884cIleLysValHphMeHtyMetO
868IleLysValHphMeHtyMet
866IleLysValHphMeHtyAcSer
*852IleLysValHphMeHphMet
824IleLysValHphMeHtySer
*808aIleLysValHphMeHphSer
KAC87*850IleLysValHphMeHphAcSer
CT_B2KAC 11808bIleLysIleHtyMeAlaPhe
794IleLysValHtyMeAlaPhe
CCNP1401, CCNP1403, CCNP1426, CCNP1430, KAC13842PheLysIleHtyMeAlaPhe
828PheLysValHtyMeAlaPhe
CT_B3CCNP1440, CCNP1431, CCNP1428, CCNP1423, CCNP1424, CCNP1425, KAC64, KAC66, KAC68934PheLysValHtyMeHtyMetO
918PheLysValHphMeHtyMetO
902PheLysValHphMeHtyMet
900aPheLysValHphMeHtyAcSer
884bPheLysValHphMeHphAcSer
CCNP1423, CCNP1424, CCNP1425, CCNP1428, CCNP1431, CCNP1440, KAC64, KAC66916bPheLysValHtyMeHtyAcSer
CCNP1431, CCNP1440, KAC64, KAC66, KAC68*886PheLysValHphMeHphMet
KAC66, KAC68858PheLysValHphMeHTyrSer
Based on the NRP profile, the Baltic N. spumigena strains were grouped into two core chemotype clusters CT_A and CT_B, with no apparent influence of the geographical origin of the strains (Figure 2, Figure S9 and Table S3). CT_A is the smallest group and consists of eight strains with the highest number of peptides (22–35), the highest frequency of pseudoaeruginosins, and where all APs are nodulapeptins (NPs). All NPs possess Ile in the exocyclic position and Hph in position 4 (Table 1). Therefore, including the conserved Lys in position 2, they all have three residues in common. High number of NP variants produced by strains from CT_A results from a variety of units in positions 4 and 6, which is probably related to a relaxed substrate specificity of adenylation domains involved in substitution of the units. In CT_A, strain AV1 produces the highest number of NPs and is the only strain where a new variant of cyanopeptolin-like peptide (m/z 848) was detected (Table S3). The fragmentation spectrum of the peptide contains some ion peaks indicating the presence of a sequence Apha + Phe + MeTyr characteristic for cyanopeptolins (Figure S8). This class of NRPs was identified in many freshwater cyanobacteria, mainly in Microcystis and Planktothrix [28,34], but we report the presence of this peptide in brackish N. spumigena for the first time.
Figure 2

Cluster analyses (a) and ordination plot of non-metric multidimensional scaling (b, NMDS) based on Jaccard dissimilarity matrix of peptide profiles detected in Nodularia spumigena from the Baltic Sea. Two chemotype clusters were identified CT_A and CT_B. In CT_B, different sub-groups were found CT_B1, CT_B2 and CT_B3. Colors denote strains from Gulf of Finland (turquoise), Northern Baltic Proper (Askö, dark blue), Western Gotland Basin (green), Gulf of Gdansk (red), Bornholm Sea (yellow), and Arkona Sea (purple).

Chemotype cluster CT_B was more heterogenous than CT_A and contained strains with a higher chemical diversity (i.e., many strains with unique features), but with a lower number of peptides (from 10 to 22) than strains from cluster A (Figure S9 and Table S3). CT_B included strains producing APs with Ile or Phe in exocyclic position and strains with or without aeruginosins. Within CT_B, three sub-groups, CT_B1–B3, differing in some features could be distinguished. Two strains that formed sub-group B1, KAC70 and KAC87 produced APs with Ile in the exocyclic position and all contained the same sequence of residues Ile1 + CO + Lys2 + Val3 + Hph4. KAC87 was the only strain from cluster B in which pseudoaeruginosin was found. In position 1 of APs produced by strains from CT_B2, both Ile and Phe could be found. However, all of these peptides possess Lys2, Hty4, MeAla5 and Phe6 in their structures, thus they shared the same four residues. As APs produced by representatives from CT_B2 did not contain Met or Ser/AcSer, they were not classified to nodulapeptins. In SPUs from CT_B2, modification in N-terminal Hpla residue (Hpla + 42), and with Leu (m/z 575) and Tyr (m/z 583) in position 2 were detected. APs produced by nine N. spumigena strains from CT_B3 were all characterized by the same three-amino acid sequence Phe1 + CO + Lys2 + Val3 (Table S2). All classes of peptides included in this study are active against several key metabolic enzymes and their pharmaceutical potential has been frequently explored [23,33,35]. As was shown, several NRP variants are produced by N. spumigena individual strains and significant strain-specific differences in peptides profiles exist. Therefore, the utility of N. spumigena in biotechnology might be strain-dependent. The chemotype clustering approach in this study may facilitate the screening of potentially interesting strains with unique features. On the other hand, the chemical diversity of the strains can also have significant ecological implications, likely with a broad spectrum of functionality from the small (molecular, cellular) to the higher plankton community level with regard to antimicrobial and anti-grazing activity, competition.

2.2. PC-IGS Sequences and Phylogenetic Analyses of Baltic Nodularia spumigena

Considering the 22 N. spumigena strains, phylogenetic analyses performed by neighbour-joining (NJ), maximum likelihood (ML) and maximum parsymony (MP) produced similar branching patterns (Figure 3 and Figure S10). We chose to present the MP phylogenetic tree as this method is recommended in phylogenetic reconstruction when analyzing highly similar sequences [36]. Two main genetic clusters GT_A and GT_B were identified in Baltic N. spumigena strains (Figure 3), with no apparent influence of geographical origin. Genetic cluster GT_A was heterogeneous with nine strains, including the extensively studied strains CCY9414, BY1, AV1, and KAC66 (see references therein). GT_B was homogeneous with thirteen strains. To show the phylogenetic congruence between previously published results and our results, we retrieved eight Baltic N. spumigena PC-IGS sequences deposited in GenBank. The obtained maximum likelihood tree on the phycocyanin operon sequences of the strains confirmed the separation of the Baltic N. spumigena into two clusters (Figure S11). Separation of planktonic Nodularia strains into two or more clusters on the basis of genotypic grouping using different genes (PC-IGS, rDNA-ITS, hetR, rpoB, rbcLX) was previously reported with no consistency [8,11,12,37,38,39]. In view of these discrepancies, it was concluded that to determine the genetic diversity of cyanobacterial population, multiple gene loci and/or a higher number of isolates should be used. Our analysis includes similar strains (5) as in Janson and Granéli [38] showing similar genetic clustering for GT_B and their largest homogeneous (100% similarity) cluster.
Figure 3

Maximum parsimony (MP) phylogenetic tree based on representative sequences of the cpcBA-IGS (587 bp). Bootstrap values were calculated (1000 replicated trees) and are displayed when greater than 0.5. Strains are divided in two genetic clusters, GT_A and GT_B. The strains CCNP1423, CCNP1424, CCNP1425 are not included in the tree as they were lost prior to genetic analyses. Colors denote strains from Gulf of Finland (turquoise), Northern Baltic Proper (Askö, dark blue), Western Gotland Basin (green), Gulf of Gdansk (red), Bornholm Sea (yellow), and Arkona Sea (purple).

2.3. N. spumigena Chemotypes vs. Genotypes

Few studies have tested genotype-phenotype relationships in cyanobacteria [13,40,41]. In these studies, phenotypic features include morphology or production of a specific group of secondary metabolites. For instance, the analysis of NRP profile in Baltic and Australian N. spumigena strains showed clear differences [7] that can potentially be explained by geographical distance or spatial isolation originating in unique peptide structures and NRP profiles [29]. It has been suggested that the significant difference in structural diversity of peptides among closely related strains can result from frequent recombination events and point mutations [17,42]. These evolutionary processes can lead to formation of new strains/subpopulations with their specific NRP profiles. In addition, the survival and dynamics of these subpopulations will strongly depend on biotic and abiotic selection forces, such as allelopathic interactions, grazing or infection by pathogens, nutrient regime, and light [28,40,41,43]. However, the reasons behind the high number of NRP variants detected in the Baltic N. spumigena remain to be elucidated. In this study, we compared the grouping of the Baltic N. spumigena strains based on chemical (NRPs) and genetic (PC-IGS) approaches (Figure 2 and Figure 3). As both chemical and genetic analyses grouped similarly N. spumigena strains from the Baltic Sea (with one exception of strain CCNP1440), we could define two main subpopulations inhabiting this sea. Some strains, isolated from the same location and year, belonged to different subpopulations. For instance, strains KAC7 (GT_A, CT_A) and KAC11 (GT_B, CT_B2), were isolated from Western Gotland basin in the same year (2000); and strains CCNP1427 (GT_A, CT_A) and CCNP1431 (GT_B, CT_B3) from the Gulf of Gdańsk in year 2012. In addition, other strains from various geographical locations of the Baltic Sea and isolated in different years (BY1 from Arkona Basin (1986); KAC7 from West Gotland Basin (2000); CCNP1402 from the Gulf of Gdańsk (2005)) belonged to the same N. spumigena subpopulation. Overall, these results of chemical and genetic diversity of N. spumigena in the Baltic Sea indicate that the blooms are not clonal, and the same subpopulations re-occurred in different years and parts of the Baltic Sea. The occurrence patterns of different subpopulations based on both chemotypes and genotypes have also been recorded for Planktothrix in a freshwater Lake Steinsfjorden in Norway for over 33 years [28]. Interestingly, changes in the dynamics of subpopulations were in response to environmental factors, suggesting potential distinct ecotypes. Noticeably, our recent study showed two N. spumigena strains classified here as two separate sub-groups, KAC11 (CT_B2) and KAC66 (CT_B3), which have different adaptation strategies to salinity changes [14]. N. spumigena is extensively distributed worldwide, from the northern to southern hemispheres, ranging from marine to freshwater bodies in both tropical and polar regions. The potential of using our CT/GT approach in other geographical regions would be of great relevance to characterize and determine the geographic range and frequency of these two subpopulations of N. spumigena. For instance, strain BY1 and CCNP1402 from cluster CT_A grouped together with the strains from Lake Iznik in Turkey [7]. This study is a major step in using chemical profiling to explore the conspecific diversity in N. spumigena with a higher resolution than with a sole genetic approach. The detailed phylogenetic analysis of similar N. spumigena chemotypes isolated from distant water bodies in the Baltic Sea expands the knowledge of the species history.

3. Materials and Methods

3.1. Cultivation of Nodularia spumigena Strains

In total, 25 N. spumigena strains isolated from different parts of the Baltic Sea were analyzed (Table S1). Cyanobacteria were grown in a Z8 medium [44] supplemented with NaCl to salinity 7. The cultures were incubated at temperature 20 ± 2 °C and irradiance of 30 μmol photons m−2·s−1 with a light:dark cycle of 16:8 h. After one month of growth, filaments were harvested by filtration of 30 mL culture onto Whatman GF/C filters (Ø 2.5 cm). The samples were frozen and stored at −20 °C. To confirm the pattern of peptides produced by each N. spumigena strain, the culture experiments were replicated three times to obtain at least three independent extracts to be analyzed.

3.2. Extraction and LC-MS/MS Analysis of Peptides

The material collected on filters was extracted with 1 mL of 75% methanol in MilliQ water by 15 min bath sonication (Sonorex, Bandelin, Berlin, Germany). The samples were centrifuged (10 min, 10,000× g) and the supernatants were diluted with 6 mL of MilliQ water (to methanol content less than 20%). Then, the solid phase extraction was applied using 0.5 g Sep-Pak Vac C18 cartridges (Waters, Milford, MA, USA). The fraction eluted with 90% methanol was evaporated to dryness and re-dissolved in 0.5 mL of 50% methanol. After centrifugation, the supernatant was transferred to chromatographic vial and analyzed by LC-MS/MS. LC-MS/MS analyses were performed on an Agilent 1200 (Agilent Technologies, Waldboronn, Germany) coupled to a triple-quadrupole mass spectrometer (5500 QTRAP, AB Sciex, Concord, ON, Canada). Extracts were separated on a Zorbax Eclipse XDB-C18 column (4.6 mm × 150 mm; 5 μm) (Agilent Technologies, Santa Clara, CA, USA) with a mobile phase composed of 5% acetonitrile in MilliQ water (A) and acetonitrile (B), both containing 0.1% formic acid. The flow rate was 0.6 mL·min−1, and the injection volume was 5 μL. The column temperature was 35 °C. The gradient elution started with 15% of mobile phase B, rising to 50% B over 10 min and then to 99% B in 5 min, held for 10 min, then decreased to 15% B in 2 min and held for 10 min to equilibrate the system. Mass spectrometer operated in positive mode, with turbo ion spray (550 °C) voltage 5.5 kV and declustering potential of 80 V. Two types of MS/MS experiments were performed. In the first step, the information dependent acquisition method (IDA) was used and fragmentation spectra of all ions with m/z in a range 500–1000 and signal above the threshold of 500,000 cps were collected. The rough estimation of the relative amounts of peptides in extract was performed based on the intensity of the signal in extracted ion chromatogram. For selected ions, enhanced ion product mode (EIP) was used at a collision energy (CE 45–70 V) optimized to get the richest ion fragmentation spectrum. Data acquisition and processing were accomplished using Analyst QS® 1.5.1 software. To explore the diversity of non-ribosomal peptide profiles in 25 strains of Baltic N. spumigena, a dendogram based on hierarchical clustering and a non-metric multi-dimensional scaling (nMDS) was performed with a calculated Jaccard dissimilarity matrix (package Vegan) [45]. As input we used the strains with their respective presence or absence of the non-ribosomal peptides (n = 60). In the resulting dendogram and nMDS plot, strains with similar peptide composition are closely positioned. How well the analysis fit is indicated by the stress value (stress lower than 0.2 corresponds to a good representation).

3.3. DNA Extraction and PC-IGS Sequencing

N. spumigena cells were harvested (~400 mg wet weight per sample) by centrifugation at 1600× g for 10 min, the supernatant was discarded and the pellet was frozen at −80 °C prior to extraction. DNA was extracted using the FastDNA® SPIN Kit for Soil (MP Biomedicals, Santa Ana, CA, USA). The quality and quantity of extracted DNA was measured with SpectraMax® i3 Platform (Molecular Devices LLC, Sunnyvale, CA, USA) equipped with SpectraDrop Micro-Volume Microplate (Molecular Devices, Sunnyvale, CA, USA). The PC-IGS region (cpcBA-IGS) was amplified using the primers PCβF and PCαR designed specifically for cyanobacteria [31]. The reactions (25 μL) contained 100 ng of DNA template, 5 pmol of each oligonucleotide primer and 12.5 μL of MyTaq™ Red Mix (Bioline Reagents Ltd., London, UK). Reaction mixtures were subjected to PCR conditions as described in [31]. PCR products were purified with ExtractMe DNA clean-up kit (Blirt S.A., Gdańsk, Poland) and sequenced (Genomed S.A., Warszawa, Poland) using forward primer. Sequences were deposited in GenBank under the accession numbers listed in Table S1. The PC-IGS sequences (587 bp) of N. spumigena were aligned using MEGA version 6 [46] and the alignment was corrected manually. Neighbour-joining (NJ), maximum likelihood (ML) and maximum parsymony (MP) phylogenetic trees were constructed with MEGA version 6. For each tree, bootstrap analysis of 1000 replications was performed. For the ML phylogenetic tree analyses, the Kimura 2-parameter was found to be the best model fitting evolutionary substitution. MP was used with subtree pruning regrafting search algorithm and random tree addition.

4. Conclusions

The analysis of five classes of non-ribosomal peptides: spumigins, aeruginosins, pseudoaeruginosins, nodularins, and anabaenopeptins, showed high chemical diversity in the Baltic N. spumigena populations. The identified chemotypes differ in the number and structure of the produced peptide variants. Only spumigins and nodularins were detected in all strains. Pseudoaeruginosins were found only in those six (of the 25) strains, which simultaneously produced spumigin variants with mainly MePro in position 3. These results support the hypothesis that hybrid structure of pseudoaeruginosins is a consequence of the interactions between spumigin and aeruginosin biosynthetic pathways [23]. In the structure of the 36 anabaenopeptins identified in the Baltic N. spumigena strains, apart from the conserved Lys, the variety of amino acids in position 1 and 4 was limited to two residues. The high number of detected variants was mainly due to a variety of unites in position 6, which indicates the lowest substrate specificity of the adenylation domain catalyzing substitution of amino acid in this position. Based on the NRP profiles reported for strains isolated over 30-years and from different geographical locations in the Baltic Sea, we could detect the co-existence of two main N. spumigena chemotypes. The analysis of PC-IGS sequences gave similar grouping of the strains, suggesting a strong link between chemotype and genotype. Our study established the use of chemical profiling to find intraspecific variability in N. spumigena subpopulations, contributing to the characterization of subpopulations not solely at the genetic level but also at the chemical level. Thus, future chemotypic and genetic screening of a higher number N. spumigena strains from different geographical regions should add new insight into the history and diversity of N. spumigena in aquatic ecosystems in the world.
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1.  Ecosystem consequences of cyanobacteria in the northern Baltic Sea.

Authors:  Miina Karjalainen; Jonna Engström-Ost; Samuli Korpinen; Heikki Peltonen; Jari-Pekka Pääkkönen; Sanna Rönkkönen; Sanna Suikkanen; Markku Viitasalo
Journal:  Ambio       Date:  2007-04       Impact factor: 5.129

2.  MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

Authors:  Koichiro Tamura; Glen Stecher; Daniel Peterson; Alan Filipski; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2013-10-16       Impact factor: 16.240

3.  Benthic cyanobacteria of the genus Nodularia are non-toxic, without gas vacuoles, able to glide and genetically more diverse than planktonic Nodularia.

Authors:  Christina Lyra; Maria Laamanen; Jaana M Lehtimäki; Anu Surakka; Kaarina Sivonen
Journal:  Int J Syst Evol Microbiol       Date:  2005-03       Impact factor: 2.747

4.  Diversity of toxic and nontoxic nodularia isolates (cyanobacteria) and filaments from the Baltic Sea.

Authors:  M J Laamanen; M F Gugger; J M Lehtimäki; K Haukka; K Sivonen
Journal:  Appl Environ Microbiol       Date:  2001-10       Impact factor: 4.792

5.  Pseudoaeruginosins, nonribosomal peptides in Nodularia spumigena.

Authors:  Liwei Liu; Adnan Budnjo; Jouni Jokela; Bengt Erik Haug; David P Fewer; Matti Wahlsten; Leo Rouhiainen; Perttu Permi; Torgils Fossen; Kaarina Sivonen
Journal:  ACS Chem Biol       Date:  2014-12-05       Impact factor: 5.100

6.  Phylogenetic analyses of nitrogen-fixing cyanobacteria from the Baltic Sea reveal sequence anomalies in the phycocyanin operon.

Authors:  Sven Janson; Edna Granéli
Journal:  Int J Syst Evol Microbiol       Date:  2002-07       Impact factor: 2.747

7.  The non-ribosomal assembly and frequent occurrence of the protease inhibitors spumigins in the bloom-forming cyanobacterium Nodularia spumigena.

Authors:  David P Fewer; Jouni Jokela; Leo Rouhiainen; Matti Wahlsten; Kerttu Koskenniemi; Lucas J Stal; Kaarina Sivonen
Journal:  Mol Microbiol       Date:  2009-08-19       Impact factor: 3.501

8.  Integrating phylogeny, geographic niche partitioning and secondary metabolite synthesis in bloom-forming Planktothrix.

Authors:  Rainer Kurmayer; Judith F Blom; Li Deng; Jakob Pernthaler
Journal:  ISME J       Date:  2015-03-17       Impact factor: 10.302

Review 9.  Discovery Strategies of Bioactive Compounds Synthesized by Nonribosomal Peptide Synthetases and Type-I Polyketide Synthases Derived from Marine Microbiomes.

Authors:  Grigoris D Amoutzias; Anargyros Chaliotis; Dimitris Mossialos
Journal:  Mar Drugs       Date:  2016-04-16       Impact factor: 5.118

10.  Insights into the physiology and ecology of the brackish-water-adapted Cyanobacterium Nodularia spumigena CCY9414 based on a genome-transcriptome analysis.

Authors:  Björn Voss; Henk Bolhuis; David P Fewer; Matthias Kopf; Fred Möke; Fabian Haas; Rehab El-Shehawy; Paul Hayes; Birgitta Bergman; Kaarina Sivonen; Elke Dittmann; Dave J Scanlan; Martin Hagemann; Lucas J Stal; Wolfgang R Hess
Journal:  PLoS One       Date:  2013-03-28       Impact factor: 3.240

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Authors:  Robert Konkel; Anna Toruńska-Sitarz; Marta Cegłowska; Žilvinas Ežerinskis; Justina Šapolaitė; Jonas Mažeika; Hanna Mazur-Marzec
Journal:  Toxins (Basel)       Date:  2020-04-15       Impact factor: 4.546

2.  Genomic and Metabolomic Analyses of Natural Products in Nodularia spumigena Isolated from a Shrimp Culture Pond.

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Journal:  Toxins (Basel)       Date:  2020-02-25       Impact factor: 4.546

3.  High Diversity of Microcystin Chemotypes within a Summer Bloom of the Cyanobacterium Microcystis botrys.

Authors:  Emma Johansson; Catherine Legrand; Caroline Björnerås; Anna Godhe; Hanna Mazur-Marzec; Torbjörn Säll; Karin Rengefors
Journal:  Toxins (Basel)       Date:  2019-12-01       Impact factor: 4.546

4.  The Landscape of Recombination Events That Create Nonribosomal Peptide Diversity.

Authors:  Martin Baunach; Somak Chowdhury; Pierre Stallforth; Elke Dittmann
Journal:  Mol Biol Evol       Date:  2021-05-04       Impact factor: 16.240

Review 5.  Anabaenopeptins: What We Know So Far.

Authors:  Patrick Romano Monteiro; Samuel Cavalcante do Amaral; Andrei Santos Siqueira; Luciana Pereira Xavier; Agenor Valadares Santos
Journal:  Toxins (Basel)       Date:  2021-07-27       Impact factor: 4.546

6.  Interspecific Interactions Drive Nonribosomal Peptide Production in Nodularia spumigena.

Authors:  Sandra Lage; Hanna Mazur-Marzec; Elena Gorokhova
Journal:  Appl Environ Microbiol       Date:  2022-07-12       Impact factor: 5.005

7.  Specific Chemical and Genetic Markers Revealed a Thousands-Year Presence of Toxic Nodularia spumigena in the Baltic Sea.

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Journal:  Mar Drugs       Date:  2018-04-04       Impact factor: 5.118

8.  Synthesis and Evaluation of Spumigin Analogues Library with Thrombin Inhibitory Activity.

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Journal:  Mar Drugs       Date:  2018-10-27       Impact factor: 5.118

9.  Insight into Unprecedented Diversity of Cyanopeptides in Eutrophic Ponds Using an MS/MS Networking Approach.

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10.  Anabaenopeptins from Cyanobacteria in Freshwater Bodies of Greece.

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Journal:  Toxins (Basel)       Date:  2021-12-21       Impact factor: 4.546

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