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Article

Dereplication of Natural Products with Antimicrobial and Anticancer Activity from Brazilian Cyanobacteria

by
Tania Keiko Shishido
1,2,†,
Rafael Vicentini Popin
1,†,
Jouni Jokela
1,
Matti Wahlsten
1,
Marli Fatima Fiore
3,
David P. Fewer
1,
Lars Herfindal
4 and
Kaarina Sivonen
1,*
1
Department of Microbiology, University of Helsinki, Viikinkaari 9, FI-00014 Helsinki, Finland
2
Institute of Biotechnology, University of Helsinki, Viikinkaari 5D, FI-00014 Helsinki, Finland
3
Center for Nuclear Energy in Agriculture, University of São Paulo, Avenida Centenário 303, 13400-970 Piracicaba, São Paulo, Brazil
4
Centre for Pharmacy, Department of Clinical Science, University of Bergen, P.O. Box 7804, 5020 Bergen, Norway
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Toxins 2020, 12(1), 12; https://doi.org/10.3390/toxins12010012
Submission received: 3 December 2019 / Revised: 20 December 2019 / Accepted: 21 December 2019 / Published: 24 December 2019
(This article belongs to the Special Issue Biosynthesis, Accumulation, and Bioactivity of Secondary Metabolites in Cyanobacteria)
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Abstract

:
Cyanobacteria are photosynthetic organisms that produce a large diversity of natural products with interesting bioactivities for biotechnological and pharmaceutical applications. Cyanobacterial extracts exhibit toxicity towards other microorganisms and cancer cells and, therefore, represent a source of potentially novel natural products for drug discovery. We tested 62 cyanobacterial strains isolated from various Brazilian biomes for antileukemic and antimicrobial activities. Extracts from 39 strains induced selective apoptosis in acute myeloid leukemia (AML) cancer cell lines. Five of these extracts also exhibited antifungal and antibacterial activities. Chemical and dereplication analyses revealed the production of nine known natural products. Natural products possibly responsible for the observed bioactivities and five unknown, chemically related chlorinated compounds present only in Brazilian cyanobacteria were illustrated in a molecular network. Our results provide new information on the vast biosynthetic potential of cyanobacteria isolated from Brazilian environments.
Keywords:
natural products; mass spectrometry; leukemia; antifungal; antibacterial; cyanotoxins; Nostoc
Key Contribution: The molecular network constructed using mass spectrometry data indicates natural products potentially involved in anticancer and antimicrobial activities and unknown chlorinated molecules to be characterized.

1. Introduction

Cyanobacteria are photosynthetic bacteria commonly found in diverse aquatic and terrestrial environments [1]. They produce a large range of secondary metabolites (natural products) that are predominantly produced to gain evolutionary advantages, such as adaptation to the surrounding environment or as a defense mechanism, rather than being part of primary metabolism (i.e., growth, development, or reproduction) [2,3,4]. Many cyanobacterial natural products are synthesized by non-ribosomal peptide synthetases (NRPS), polyketide synthase (PKS), or hybrid NRPS-PKS (NRPS/PKS) [5]. These molecules have diverse applications in pharmacology, biotechnology, and bioenergy production [6,7,8,9].
Cyanobacterial natural products have a diverse array of biological activities and properties [10,11,12]. Toxins and protease inhibitors are amongst the most commonly reported [13,14,15,16]. Antibiotic activity is frequently found in cyanobacterial extracts, but the active compounds have seldom been determined [17,18,19]. Cyanobacteria are also a promising source of anticancer compounds [20,21]. These include the elastase inhibitor lyngbyastatin [22], the microtubulin inhibitor curacin A [23], the sodium-channel blocker kalkitoxin [24,25], and the antitumor cryptophycin [26]. Although the anticancer activity of cyanobacterial compounds has not been thoroughly investigated, some studies point to diverse implications in apoptosis [27].
Several cyanobacteria produce antileukemic compounds [21,22,23,24,25,26,28]. Approximately 80% of the cases of acute leukemia in adults in the United States are acute myeloid leukemia (AML). Over 29,000 cases of AML were recorded in Europe between 1995 and 2002 [29]. The treatment for this disease is currently based on chemotherapy, and long-term prognosis for such patients is poor [30]. The discovery and development of new drugs to treat AML are necessary due to emerging AML drug resistance and the harsh side effects of the current treatments [31]. Marine cyanobacteria are a rich source of anticancer compounds, but cyanobacteria isolated from underexplored environments are promising alternative source of drug leads for drug discovery [9,27,32,33].
Brazilian biomes are characterized by unusually high biodiversity, and new cyanobacterial taxa are frequently described from these biomes [34,35,36,37,38,39]. Strains isolated from these biomes have antimicrobial and anticancer activities [40,41,42]. New natural products are continuously described from cyanobacteria isolated from these habitats [40,43,44]. Metabolic profiling has increasingly been used to visualize and organize the vast chemical diversity and large repertoire of molecules synthesized by microorganisms [45]. This approach enables the assessment of groups of compounds with analogous biosynthetic origins and structures, which may facilitate the discovery of novel compounds [46].
In this study, we screened cyanobacterial isolates from Brazilian habitats for natural products and tested the antileukemic and antimicrobial activity of their culture extracts. Furthermore, we constructed a molecular network to expand the current knowledge of their chemical diversity.

2. Results

2.1. Cyanobacterial Isolates

A total of 62 isolates from diverse biomes from Brazil were tested for antimicrobial and anticancer activities (Table S1). A phylogenetic tree based on 16S rRNA gene was constructed in order to access the evolutionary history of these strains (Figure 1). The 62 isolates belong to 23 different genera spread among five different orders: Synechococcales, Oscillatoriales, Chroococcales, Chroococcidiopsidales, and Nostocales.

2.2. Bioactivity Screening

Aqueous and organic cyanobacterial cell extracts were first tested for their cytotoxic activity against the human leukemia MOLM-13 cell line (Table S2). Two of the 62 aqueous extracts resulted in 70–90% cell death (CCIBt3594 and CENA185), while 11 were highly cytotoxic with 90–100% cell death (CENA69, 72, 161, 219, 270, 513, 514, 524, 535, 543, and 548). The organic extracts from the cyanobacteria were more potent, 13 samples induced 70–90% cell death (CENA21, 67, 137, 147, 152, 153, 154, 159, 160, 215, 216, 272, and 526), and 26 induced apoptosis in 90–100% of the cells (CCIBt3594; UFV-E1; UFV-L1; UFV-27; and CENA69, 71, 72, 135, 161, 185, 217, 219, 270, 283, 296, 298, 302, 382, 510, 513, 514, 524, 535, 541, 543, and 548). A dilution of the organic extracts to 3.99 mgDW·ml-1 (0.3%) revealed that two samples induced cell apoptosis in 70–90% of the cells (CENA69 and 382) and 13 samples induced apoptosis in 90–100% (CENA71, 72, 161, 185, 219, 270, 296, 298, 513, 514, 524, 535, and 548). The extracts that induced apoptosis between 70–90% of the MOLM-13 cells were diluted 10 times, and the extracts inducing over 90% cell death were diluted 10 and 100 times to further compare the cytotoxic potential. For the aqueous extracts, only Nostoc sp. CENA219 presented a moderate apoptosis rate (51%) at 100 times dilution. The organic extracts of Aliinostoc sp. CENA69 and CENA513 and Fischerella sp. CENA161 were highly cytotoxic (above 70%) towards MOLM-13 cells even at a concentration of 0.133 mgDW mL−1 (100-fold dilution).
The cyanobacterial extracts with the highest apoptosis induction of MOLM-13 cells were also tested for cytotoxicity towards the normal rat kidney epithelial NRK cell line (Table 1). By comparing the potency of normal and malignant cells, the test provided evidence for potential use as an anticancer compound. The strains Fischerella sp. CENA72, Cyanobium sp. CENA185, Limnothrix sp. CENA217, Nostoc sp. CENA296, and Aliinostoc sp. CENA524 showed particularly selective cytotoxicity towards MOLM-13 cells over NRK cells; these strains had an over nine-fold greater EC50 value for NRK than MOLM-13 (Table 1). It is noteworthy that the organic extracts from Cyanobium sp. CENA185 and Limnothrix sp. CENA217 showed no apparent toxicity to NRK cells after 24 h (Figure S1). Nostoc sp. CENA69, Fischerella sp. CENA161, and Aliinostoc spp. CENA513 and CENA514 showed relatively smaller differences in cytotoxicity between the two cell lines as judged by EC50 values than the other strains.
Another method to evaluate drug selectivity for one cell over another is to calculate the area under the curve (AUC) of the dose-response curves (Table 1 and Figure S1). Aliinostoc sp. CENA514 has a large AUC ratio between NRK and MOLM-13 cell lines, which indicates that the concentrations needed to kill MOLM-13 AML cells will not harm nonmalignant NRK cells. The cell extract from Nostoc sp. CENA69 was toxic for both MOLM-13 and NRK cell lines (Figure 2 and Table 1). The low value of the half-maximum effective concentration (EC50) of Nostoc sp. CENA69 shows the high potency of this cell extract for both tested cell lines (Table 1).
To identify possible antibacterial and antifungal activity, organic extracts obtained from cyanobacterial freeze-dried cells were also tested against Staphylococcus aureus and Candida albicans (Table 2, Files S1 and S2). Fischerella spp. CENA71, CENA72, CENA161, and CENA298 and Aliinostoc sp. CENA513 showed both antibacterial and antifungal activity. Aliinostoc spp. CENA514, CENA535, and CENA548 extracts had antifungal activity while CENA524 presented antibacterial activity.

2.3. Natural Products Produced by Brazilian Cyanobacteria

Cell extracts were analyzed using mass spectrometry, and a molecular network was constructed based on the MS/MS spectra of the detected compounds. Due to the size of the resulting network, only clusters containing potential new novel compounds detected exclusively in Brazilian cyanobacterial extracts and previously known natural products are presented in Figure 3. The complete network can be found in the Supplementary Materials (Figure S2). Cyanobacterial cell extracts from strains producing known compounds were included in the analysis to facilitate the dereplication of different compounds (Table S3). Puwainaphycins produced by Aliinostoc spp. CENA535 and CENA548 were detected using a dereplication tool (GNPS) (Figure S3; Table S4).
Cyanobacterial extracts that showed potent anticancer or cytotoxic activity presented novel compounds detected only in Brazilian strains (Figure 4). The chlorinated compounds (M1–5) could not be assigned in this study to any known molecule. Further information on these compounds are presented in the Supplementary Material (Figure S4, File S3).

3. Discussion

There has been a recent increase in the number of studies on natural products synthesized by Brazilian cyanobacteria, particularly on toxins and protease inhibitors [43,44,51,52,53]. However, the diversity of these organisms and their natural products will likely expand as these ecosystems are further explored [54,55,56]. Therefore, strains were isolated from different biomes and their biosynthetic potential in culture conditions is discussed here.
The 16S rRNA gene phylogenetic analysis demonstrated that, while some Nostoc strains were distributed in the previously described Nostoc clusters 1, 2, and 3.3 [43], the remaining strains were located in sparse and diverse clades more closely related to other Nostocalean genera.
Previous research indicated that analysis of a broad selection of taxonomical genera of cyanobacteria would increase the possibility of detecting novel bioactive compounds [21,43]. The analysis of several strains investigated in this study revealed significant antileukemic activity (≥70%). Approximately 21% of the aqueous and 61% of the organic extracts were bioactive, in which all the cyanobacterial strains that produced hydrophilic active compounds also contained a hydrophobic antileukemic extract. The analysis measured by AUC aids in evaluating the effect of the compounds based on concentration and is a reliable method to analyze dose-response curves [57].
Cell extracts of Cyanobium sp. CENA154, Nostoc spp. CENA67 and CENA69, and Oxynema sp. CENA135 have previously been described as having anticancer activity against the murine colon cancer cell line CT-26 and lung carcinoma 3LL [42]. In the present work, cell extracts of these strains were similarly found to induce apoptosis of the AML cell line MOLM-13. Their organic extract is responsible for the antileukemic activity, except for Nostoc sp. CENA69, in which the aqueous extract also exhibited antileukemic activity at 13.3 mgDW mL-1 concentration. CENA69 showed a high potency to induce cell death in MOLM-13 and was further tested using normal cells (NRK), which also showed high cytotoxicity. Fischerella spp. CENA71 and CENA72 and Aliinostoc spp. CENA513, CENA514, and CENA524 produce antileukemic compound(s) with higher potency against MOLM-13 cells than normal NRK cells. A similar study that investigated extracts from Portuguese cyanobacteria also revealed effects against cancer cells but did not reduce the viability of NRK cells [58].
Among the 39 strains exhibiting high antileukemic activity, 12 of them produce previously described compounds. Cyanobium spp. CENA153 and CENA185, Fischerella sp. CENA161, Oxynema sp. CENA135, and Phormidium sp. CENA270 produce microcystins. These peptides are potent hepatotoxins due to their protein serine/threonine phosphatase inhibitor activity [59]. Hepatocytes efficiently take up microcystin and are therefore the primary target of toxicity [60]. However, high doses of microcystin can also induce oxidative stress [61]. The cellular effects of protein phosphatase inhibitors, such as microcystin and nodularin, are due to differences in uptake. These toxins do not distinguish between malignant and nonmalignant cells if microinjected into the cells [62]. Nevertheless, previous studies have shown that there is no correlation between phosphatase inhibitors and apoptogenic activity against SH-SY5Y-neuroblastoma and AML cells [58,63]. The lipopeptides hassallidin and puwainaphycin have been previously shown to have cytotoxic activity [64,65]. Aeruginosin and anabaenopeptin are protease inhibitors with no reported cytotoxic effects. Lastly, saxitoxin is a neurotoxin that is associated with cytotoxic effects on mammalian cells [66,67,68]. Further analysis using isolated compounds would be necessary to show which are the antileukemic compounds produced by the tested Brazilian cyanobacteria. Three of the 62 strains are likely to produce new antibacterial, antifungal, or anticancer molecules.
The construction of a molecular network was used to explore the complex variety of natural products synthesized by the analyzed cyanobacteria. Although most of the molecules are produced by both Brazilian and control strains, approximately 20% of the resulting clusters are exclusively present in the group of Brazilian strains. Compounds that had already been identified in the strains, such as microcystin-LR (Fischerella sp. CENA161) [48], [D-Leu1]microcystin-LR (Phormidium sp. CENA270) [49], anabaenopeptin, and nodularin (Aliinostoc sp. CENA543) [43], were again found here (Figure S2 and Table S4). The molecular network also highlighted molecules that are possibly related to their bioactivities, though the mass spectrometry analysis was not sufficient for identification and further isolation and characterization are necessary.
Previous studies involving 17 of the 62 strains tested here (CENA21, 67, 69, 135, 152, 153, 154, 159, 160, 185, 216, 217, 247, 271, 281, 283, and 510) reported anticancer and antimicrobial activity on other cell lines and microorganisms [41,42,47]. Thus, our analysis expands the number of strains producing known bioactive compounds, especially from the Nostoc and Fischerella genera [32,43,52]. Nostoc is a cosmopolitan genus of cyanobacteria that is predominantly terrestrial but is also frequently found in symbiosis with other organisms [69,70]. They are known as a prolific producer of secondary metabolites, such as peptides, polyketides, and alkaloids [71,72]. The compounds already described include microcystin (hepatotoxin) [73], nostophycin (cytotoxic activity) [74], cryptophycin (tumor inhibitor) [75], nostocyclamide (algae and bacteria growth inhibitor) [76], nostocarboline (acetylcholinesterase inhibitor) [77], nostocine A (algae and plant growth inhibitor) [78], muscoride A (antibacterial activity) [79], and cyanobacterin (cyanobacterial growth inhibitor) [80]. Nevertheless, the biosynthetic potential of Nostoc remains underestimated, as many compounds have not yet been identified [65]. Although Fischerella is comparatively less studied that Nostoc, several natural products have been identified, such as microcystin [43], the antitumor welwitindolinones [81], the antibacterial and antimycotic hapalindoles [82], and the antibacterial ambiguine [83].

4. Conclusions

Brazilian cyanobacteria belonging to 5 different orders and isolated from different biomes showed anticancer, antibacterial, and antifungal activity. The known compounds microcystin, saxitoxin, aeruginosin, hassallidin, nodularin, anabaenopeptin, pseudoaeruginosin, and puwainaphycin were detected by mass spectrometry analysis and a dereplication tool. Nonetheless, the biosynthetic potential of the strains remains mostly unknown as most of the molecular network could not be assigned to known natural products. Among these compounds, some were found only in Brazilian strains and could potentially be involved in the detected bioactivities. The unknown chlorinated molecules detected in extracts showing relatively high anticancer activity are promising candidates for isolation and characterization. We hypothesize that further studies with Brazilian cyanobacteria may reveal an even larger biosynthetic repertoire, as the tested strains are expected to represent just a small fraction of isolation sources in the ecosystems in the country.

5. Materials and Methods

5.1. Cyanobacterial Strains

Nostoc spp. CENA67 and CENA69 and Fischerella spp. CENA71 and CENA72 (No. 3–6 in Table S1) were isolated from the anthropogenic Amazon Dark Earth soils, which are highly fertile anthropogenic soils produced by native populations of Central Amazonia [84]. Phormidium, Nodosilinea, Chlorogloea, Cyanobium, and Halotia strains (No. 7–14 in Table S1) originate from Cardoso Island on the coast of the State of São Paulo. This region is covered by the Atlantic Forest, mangroves, and restingas (herbaceous vegetation) and is part of one of the most biodiverse ecosystems in the world [85]. Caatinga, the biome in which Aulosira, Calothrix, Chroococcidiopsis, Cyanospira, Fischerella, Lyngbya, Nostoc, and Phormidium strains (No. 17–43 in Table S1) were isolated, is a semiarid region with singular adapted species that is largely neglected by conservation policies in Brazil [54]. Lastly, Alkalinema, Geminocystis, Leptolyngbya, Nodosilinea, Nostoc, Pannus, and Pantanalinema strains (No. 1 and 46–59 in Table S1) were isolated from the Pantanal, which is the largest continental wetland on the planet and is colonized by unique cyanobacteria [54]. The strains are maintained in the UHCC culture collection of the University of Helsinki, Helsinki, Finland, and the culture collection of CENA/University of São Paulo, Piracicaba, São Paulo, Brazil.

5.2. DNA Extraction and Sequencing, and Phylogenetic Analyses

Total genomic DNA of the strains was extracted from 3-weeks old cultures according to the method by Fiore et al. [86]. The 16S rRNA genes were obtained by PCR using the set primer 27F-23S30R [87]. PCR products were cloned and sequenced, and the resulting reads were assembled into contigs using the Phred/Phrap/Consed package [88,89,90].
The evolution model GTR + I + G was selected as the best-fit model by jModelTest 2 v0.1.1 [91,92] and was therefore used for inferring the 16S rRNA phylogenetic tree. In total, 141 cyanobacterial nucleotide sequences were implemented in MrBayes v3.2.6 [93] with 5,000,000 generations.

5.3. Cyanobacterial Extracts

The Brazilian strains selected for the bioactivity assays (Table S1) were cultivated in 3 L of Z8 [94] medium (with or without 0.467 g/L of NaNO3 as nitrogen source; see Table S5) under constant light of 10 ± 1 µmol m−2 s−1 at 20 ± 1 °C. Cells in exponential phase of growth (21–28 days of cultivation) were freeze-dried, and 100 mg was used for methanol extraction. To perform the extraction, 1 mL of methanol and glass beads (0.5-mm diameter, Scientific Industries INC, Bohemia, NY, USA) were added to the cell matter to be disrupted in a plastic tube using a FastPrep™-24 homogenizer (Fastprep®-24, MpBiomedicals, Irvine, CA, USA) for three times of 30 s at 6.5 m/s. The sample tubes were centrifuged at 10,000× g for 5 min, and the supernatant was reserved in a new tube. The extraction was repeated. The supernatant from both extractions was combined and dried using a vacuum concentrator (RVC 2–18 CDplus, Martin Christ, Osterode, Germany). Samples were resuspended in 500 μL of methanol (Sigma-Aldrich, San Luis, MO, USA) by vortexing and pipetting. Dichloromethane (Merck) and milli-Q water were added 1:1 v/v (500 μL:500 μL), and the samples were inverted to mix the solvents. The samples were then centrifuged at 10,000× g for 5 min at 20 °C. The aqueous and organic phases were collected, placed in different tubes, and left with the lid open at room temperature in a laboratory fume hood overnight. The aqueous phase was evaporated in a speed-vac (Eppendorf) at 30 °C. Dried samples were stored at −20 °C. Organic-phase extracts were resuspended in 75 μL of dimethyl sulfoxide (DMSO, Sigma-Aldrich, ≥99.9%, A.C.S. spectrophotometric grade), while the aqueous phase was resuspended in 300 μL of 25% DMSO (25 DMSO:75 milli-Q water). Samples were stored at −20 °C.
Frieze-dried cells (100 mg) were extracted twice with 1 mL of methanol and centrifuged as described above. The extracts (300 µL) were added to discs and evaporated overnight. The discs were used for antibacterial and antifungal assays. A volume of 40 µL of filtered (22 µm) extract was mixed with 160 µL of methanol to be analyzed by mass spectrometry and stored at −20 °C. Frieze-dried cells (10 to 24.3 mg) from 10 cyanobacteria (Table S3) were extracted once with 1 mL of methanol as described above, and 200 µL of the extract was filtered and reserved for mass spectrometry analysis.

5.4. Cell-Based Assay

The acute myeloid leukemia (AML) cell line MOLM-13 (ACC, 554; [95]) and rat kidney epithelial cell line NRK (ATCC, CRL-6509) were used. Aqueous (4 μL) and organic (1 μL) cyanobacterial extracts were cultured in RPMI or DMEM medium, respectively, and both were supplemented with fetal bovine serum (FBS, F7524, Sigma-Aldrich) and penicillin and streptomycin (P0781, Sigma-Aldrich). The MOLM-13 cells were maintained at concentrations between 105 and 8 × 105 cells/mL. NRK cells were detached by mild trypsin treatment at 70–90% confluence and reseeded at 30–50% confluence. The cells were incubated in a humified atmosphere at 37 °C and 5% CO2. To test for cytotoxicity, extracts were added in 96-well plates (NunclonTM Delta Surface, Thermo Scientific) and MOLM-13 cell suspensions (25–40 × 105 cells/mL) were added to a final volume of 0.1 mL in each well. NRK cells were seeded in wells the day before the experiment (7–8 × 104 cells/mL) and left overnight to attach. Fresh medium containing the cyanobacterial cell extracts were added to the wells. Both cell lines were incubated at 37 °C for 24 h before the cells were fixed by adding 100 μL of 3.7% formaldehyde in phosphate-buffered saline buffer, pH 7.4. The DNA-specific dye Hoechst 33342 (0.01 mg/mL) was then added. Plates were kept at 4 °C overnight, and nuclear morphology was assessed as previously described [96] using a Zeiss Axio Vert.a1 microscope. In brief, we scrutinized Hoechst-stained nuclei and scored them as normal or abnormal. Normal nuclei were moderately stained and bean-shaped, whereas nuclei from dead (apoptotic or necrotic) cells were typically hypercondensed, fragmented, and not bean-shaped. See Figure 2 and Reference [96] for examples and details. The numbers of normal and abnormal nuclei were used to determine the percentage of cell death. At least 100 cells were counted to determine cytotoxicity.
The extracts were first screened for cytotoxic potential, and based on the cytotoxic potential of those inducing more than 50% cell death (50–70%, 70–90%, and above 90%), dilutions series were made to estimate EC50 values. All extracts were tested in duplicates. EC50 values were calculated, and dose-response curves were created using the nonlinear regression function of GraphPad Prism 8 (GraphPad Software, La Jolla, CA, USA). The program was also employed for calculating p-value using the extra-sum-of-squares F test.

5.5. Antifungal and Antibacterial Assays

The activity of crude extracts obtained from Brazilian cyanobacteria were tested for antifungal (Candida albicans HAMBI484) and antibacterial (Staphylococcus aureus HAMBI66) activities. The antifungal test was performed as previously described [32]. PDA and BHI media were used for the growth and activity assay of Candida albicans HAMBI484 (at 35 °C) and Staphylococcus aureus HAMBI66 (at 37 °C), respectively. Microbial cells grown overnight on solid media were added to sterile water in a sterile tube, and turbidity was measured at 530 nm to approximately McFarland 0.5. The S. aureus HAMBI66 inoculum (800 µL) was spread onto BHI plates and dried for 30 min in sterile conditions. C. albicans HAMBI484 inoculum was spread using a sterile swab. The discs containing dry cyanobacterial cell extracts were added to the plates and incubated at 35 °C or 37 °C overnight, after which the inhibitions zones were measured. Nystatin (25 µg) and kanamycin (1000 µg, Abtek biological) were used as positive controls against C. albicans HAMBI484 and S. aureus HAMBI66, respectively.

5.6. Liquid Chromatography-Mass Spectrometry (LC-MS)

Samples were injected into an Acquity UPLC system (Waters, Manchester, UK) equipped with a Kinetex® C8 100 LC Column (50 × 2.1 mm, 1.7 µm, 100 Å). The UPLC was operated with a flow-rate of 0.3 mL/min in gradient mode at a temperature of 40 °C. Solvents used in the gradient were A: 0.1% formic acid in water and B: 0.1% formic acid in acetonitrile/isopropanol (1:1). The initial conditions of the linear gradient were A: 95% and B: 5% and the conditions were changed to A: 0% and B: 100% in 5 min. The injection volume was 0.5 μL. Mass spectra were recorded with a Waters Synapt G2-Si mass spectrometer (Waters, Manchester, UK). Measurements were performed using positive and negative electrospray ionization (ESI) in resolution mode. Precursor ions were scanned in the range from m/z 400 to 2000 and productions from m/z 50 to 2000. MS analyses were performed with scan times of 0.1 s and MS/MS analyses with scan times of 0.2 s. The capillary voltage was 1.5 kV (2.0 kV in negative ionization), source temperature was 120 °C, sampling cone was 40.0, source offset was 80.0, desolvation temperature was 600 °C, desolvation gas flow was 1000 L/h, and nebulizer gas flow was 6.5 Bar. Leucine-encephalin was used as a lock mass, and calibration was performed with sodium formate and Ultramark 1621.

5.7. Molecular Network

The data obtained with LC-MS was converted to mzXML using MSConvert [97]. A molecular network was obtained using the GNPS: Global Natural Products Social Molecular Network website [98]. The data was filtered, peaks with + or −17 Da of the precursor were removed, and peaks throughout the spectrum other than the top six +/−50 Da were filtered out. The data were then clustered with MS-Cluster with a parent mass tolerance of 0.2 Da and a MS/MS fragment ion tolerance of 0.2 Da to create consensus spectra. Consensus spectra that contained less than two spectra were discarded. A network was then created where edges were filtered to have a cosine score above 0.7 and more than six matched peaks. Further edges between two nodes were kept in the network only if each of the nodes appeared in each other’s respective top 10 most similar nodes. The spectra in the network were then searched against the GNPS spectral libraries. The library spectra were filtered in the same manner as the input data. All matches kept between network spectra and library spectra were required to have a score above 0.7 and at least six matched peaks.
The in silico peptidic natural product dereplicator tool from the GNPS website was used to search for potential known compounds produced by Brazilian cyanobacteria. The precursor and fragment ion mass tolerance selected was 0.02 Da, and a search for analogs was performed (VarQuest).

5.8. Data Availability Statement

The 16S rRNA or 16S-23S rRNA sequence accession numbers in NCBI are Nostoc spp. CENA67 (MN551902), CENA69 (MN551252), CENA216 (MN551255), CENA238 (MN551905), CENA239 (MN551906), CENA259 (MN551911), CENA261 (MN551256), CENA269 (MN551912), CENA271 (MN551257), CENA274 (MN551914), CENA278 (MN551915), CENA281 (MN551916), and CENA294 (MN551920); Leptolyngbya CENA293 (MN551919); Fischerella spp. CENA71 (MN551253) and CENA 72 (MN551254); Cyanospira sp. CENA215 (MN551903); Limnothrix sp. CENA217 (MN551904); Chroococcidiopsis spp. CENA240 (MN551907) and CENA246 (MN551908); Sphaerospermopsis sp. CENA247 (MN551909); Calothrix sp. CENA250 (MN551910); Aulosira spp. CENA272 (MN551913), CENA283 (MN551258), CENA288 (MN551917), CENA291 (MN551918), and CENA295 (MN551921); Nostocales CENA296 (MN551922); and Brasilonema spp. UFV-L1 (MN551259) and UFV-27 (MN551260).

Supplementary Materials

The following are available online at https://www.mdpi.com/2072-6651/12/1/12/s1, Figure S1: Dose-response curves of the selected cyanobacterial extracts on NRK (Blue) and MOLM-13 (red) cell lines: These were the basis for estimating EC50 values, Figure S2: Complete molecular networking of cyanobacterial extracts from Brazilian (purple) and control (green) strains: Known compounds are indicated (see also Tables S3 and S4). Node numbers represent mass/charge ratios (m/z), Figure S3: MS/MS spectra of puwainaphycins identified in Aliinostoc sp: CENA535 using the dereplication tool (GNPS). See Table S4 for further information, Figure S4: Spectra of potentially new compounds produced only by Brazilian strains (see also Figure 4 and File S3), Table S1: List of Brazilian cyanobacterial isolates tested for the synthesis of anticancer and antimicrobial compounds: The accession number of their 16S rRNA sequences and the habitat, site, city, and state from where the samples were collected are indicated, Table S2: Human leukemia MOLM-13 cells apoptosis caused by crude extracts of aqueous and organic cyanobacterial cell extracts (average of two parallel measurements indicated in %). Dilutions (0.3×, 0.1×, and 0.01×) are indicated in the table, and samples not tested in different dilutions are indicated with (−). Red color indicates high amounts of apoptotic cells, and green indicates high amounts of normal cells. The error (Er) indicates the difference value of the average with one of the duplicates, Table S3: List of cyanobacteria used as a control in the LC-MS analysis to compare the previously discovered compounds with the molecules produced by Brazilian strains, Table S4: Dereplicator analysis of Brazilian cyanobacteria cell extracts. Predicted compounds are organized by p-value (cutoff of 10−11); FDR cutoff of 15%. Compounds found in previous studies are in bold, File S1: Pictures of the antifungal activity essays using Candida albicans HAMBI484: The use of sterile water may have influenced the susceptibility of the fungal cells, File S2: Pictures of the antibacterial activity essays using Staphylococcus aureus HAMBI66: The use of sterile water may have influenced in the susceptibility of the bacterial cells, File S3: Retention times of chlorinated compounds detected in Fischerella sp. CENA72, Table S5: Culture media used for the cultivation of the strains: The addition of nitrogen refers to 0.467 g/L of NaNO3.

Author Contributions

Conceptualization, T.K.S., L.H., M.W., J.J., D.P.F., M.F.F., and K.S.; methodology, T.K.S., R.V.P., L.H., and M.W.; formal analysis, T.K.S., R.V.P., L.H., M.W., J.J., and D.P.F.; writing—original draft preparation, T.K.S. and R.V.P.; writing—review and editing, T.K.S., R.V.P., L.H., M.W., J.J., D.P.F., M.F.F., and K.S.; supervision, L.H., J.J., D.P.F., and K.S.; project administration, K.S.; funding acquisition, L.H., K.S, and M.F.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Academy of Finland, grant numbers 1258827, 1273798 (to K.S.), and 1259505 (to D.P.F.) and by the Fundação de Amparo à Pesquisa do Estado São Paulo (FAPESP, grant 2013/50425-8 (to M.F.F). R.V.P. was supported by an EDUFI fellowship from the Centre for International Mobility and funding from the Doctoral Programme in Microbiology and Biotechnology. T.K.S. was supported by the Academy of Finland Grant 1308266 and the Finnish Cultural Foundation. L.H. received funding from NordForsk (NCoE Programme “NordAqua” (project #82845), Western Norway Health Authorities, and the Norwegian Society for Children’s Cancer. K.S. also received funding from the Jane and Aatos Erkko Foundation. Open access funding provided by University of Helsinki.

Acknowledgments

We thank Lyudmila Saari for maintaining and handling the cyanobacteria strains.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Stanier, R.Y.; Bazine, G.C. Phototrophic Prokaryotes: The Cyanobacteria. Annu. Rev. Microbiol. 1977, 31, 225–274. [Google Scholar] [CrossRef]
  2. Carmichael, W.W. Cyanobacteria secondary metabolites-the cyanotoxins. J. Appl. Microbiol. 1992, 72, 445–459. [Google Scholar] [CrossRef]
  3. Bohlin, L.; Göransson, U.; Alsmark, C.; Wedén, C.; Backlund, A. Natural products in modern life science. Phytochem. Rev. 2010, 9, 279–301. [Google Scholar] [CrossRef] [Green Version]
  4. Dias, D.A.; Urban, S.; Roessner, U. A historical overview of natural products in drug discovery. Metabolites 2012, 2, 303–336. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Welker, M.; Von Döhren, H. Cyanobacterial peptides—Nature’s own combinatorial biosynthesis. FEMS Microbiol. Rev. 2006, 30, 530–563. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Burja, A.M.; Banaigs, B.; Abou-Mansour, E.; Grant Burgess, J.; Wright, P.C. Marine cyanobacteria—A prolific source of natural products. Tetrahedron 2001, 57, 9347–9377. [Google Scholar] [CrossRef]
  7. Ehrenreich, I.M.; Waterbury, J.B.; Webb, E.A. Distribution and Diversity of Natural Product Genes in Marine and Freshwater Cyanobacterial Cultures and Genomes. Appl. Environ. Microbiol. 2005, 71, 7401–7413. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Angermayr, S.A.; Hellingwerf, K.J.; Lindblad, P.; Teixeira de Mattos, M.J. Energy biotechnology with cyanobacteria. Curr. Opin. Biotechnol. 2009, 20, 257–263. [Google Scholar] [CrossRef]
  9. Kehr, J.-C.; Gatte Picchi, D.; Dittmann, E. Natural product biosyntheses in cyanobacteria: A treasure trove of unique enzymes. Beilstein J. Org. Chem. 2011, 7, 1622–1635. [Google Scholar] [CrossRef] [Green Version]
  10. Marahiel, M.A.; Stachelhaus, T.; Mootz, H.D. Modular peptide synthetases involved in nonribosomal peptide synthesis. Chem. Rev. 1997, 97, 2651–2674. [Google Scholar] [CrossRef]
  11. Finking, R.; Marahiel, M.A. Biosynthesis of Nonribosomal Peptides. Annu. Rev. Microbiol. 2004, 58, 453–488. [Google Scholar] [CrossRef] [PubMed]
  12. Sieber, S.A.; Marahiel, M.A. Molecular mechanisms underlying nonribosomal peptide synthesis: Approaches to new antibiotics. Chem. Rev. 2005, 105, 715–738. [Google Scholar] [CrossRef] [PubMed]
  13. Fujii, K.; Harada, K.; Suzuki, M.; Kondo, F.; Ikai, Y.; Oka, H.; Carmichael, W.W.; Sivonen, K. Occurrence of novel cyclic peptides together with microcystins from toxic cyanobacteria, Anabaena species. In Harmful and Toxic Algal Blooms; Intergovernmental Oceanographic Commission of UNESCO: Paris, France, 1996; pp. 559–562. [Google Scholar]
  14. Moffitt, M.C.; Neilan, B.A. Characterization of the nodularin synthetase gene cluster and proposed theory of the evolution of cyanobacterial hepatotoxins. Appl. Environ. Microbiol. 2004, 70, 6353–6362. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Rouhiainen, L.; Paulin, L.; Suomalainen, S.; Hyytiäinen, H.; Buikema, W.; Haselkorn, R.; Sivonen, K. Genes encoding synthetases of cyclic depsipeptides, anabaenopeptilides, in Anabaena strain 90. Mol. Microbiol. 2000, 37, 156–167. [Google Scholar] [CrossRef] [PubMed]
  16. Fewer, D.P.; Jokela, J.; Rouhiainen, L.; Wahlsten, M.; Koskenniemi, K.; Stal, L.J.; Sivonen, K. The non-ribosomal assembly and frequent occurrence of the protease inhibitors spumigins in the bloom-forming cyanobacterium Nodularia spumigena. Mol. Microbiol. 2009, 73, 924–937. [Google Scholar] [CrossRef]
  17. Biondi, N.; Tredici, M.R.; Taton, A.; Wilmotte, A.; Hodgson, D.A.; Losi, D.; Marinelli, F. Cyanobacteria from benthic mats of Antarctic lakes as a source of new bioactivities. J. Appl. Microbiol. 2008, 105, 105–115. [Google Scholar] [CrossRef]
  18. Kreitlow, S.; Mundt, S.; Lindequist, U. Cyanobacteria—A potential source of new biologically active substances. J. Biotechnol. 1999, 70, 61–63. [Google Scholar] [CrossRef]
  19. Singh, R.K.; Tiwari, S.P.; Rai, A.K.; Mohapatra, T.M. Cyanobacteria: An emerging source for drug discovery. J. Antibiot. 2011, 64, 401–412. [Google Scholar] [CrossRef] [Green Version]
  20. Felczykowska, A.; Pawlik, A.; Mazur-Marzec, H.; Toruńska-Sitarz, A.; Narajczyk, M.; Richert, M.; Węgrzyn, G.; Herman-Antosiewicz, A. Selective inhibition of cancer cells’ proliferation by compounds included in extracts from Baltic Sea cyanobacteria. Toxicon 2015, 108, 1–10. [Google Scholar] [CrossRef]
  21. Humisto, A.; Herfindal, L.; Jokela, J.; Karkman, A.; Bjørnstad, R.; Choudhury, R.R.; Sivonen, K. Cyanobacteria as a source for novel anti-leukemic compounds. Curr. Pharm. Biotechnol. 2016, 17, 78–91. [Google Scholar] [CrossRef]
  22. Taori, K.; Matthew, S.; Rocca, J.R.; Paul, V.J.; Luesch, H. Lyngbyastatins 5–7, Potent elastase inhibitors from floridian marine cyanobacteria, Lyngbya spp. J. Nat. Prod. 2007, 70, 1593–1600. [Google Scholar] [CrossRef] [PubMed]
  23. Gerwick, W.H.; Proteau, P.J.; Nagle, D.G.; Hamel, E.; Blokhin, A.; Slate, D.L. Structure of Curacin A, a novel antimitotic, antiproliferative and brine shrimp toxic natural product from the marine cyanobacterium Lyngbya majuscula. J. Org. Chem. 1994, 59, 1243–1245. [Google Scholar] [CrossRef]
  24. Berman, F.W.; Gerwick, W.H.; Murray, T.F. Antillatoxin and kalkitoxin, ichthyotoxins from the tropical cyanobacterium Lyngbya majuscula, induce distinct temporal patterns of NMDA receptor-mediated neurotoxicity. Toxicon 1999, 37, 1645–1648. [Google Scholar] [CrossRef]
  25. Wu, M.; Okino, T.; Nogle, L.M.; Marquez, B.L.; Williamson, R.T.; Sitachitta, N.; Berman, F.W.; Murray, T.F.; McGough, K.; Jacobs, R.; et al. Structure, synthesis, and biological properties of kalkitoxin, a novel neurotoxin from the marine cyanobacterium Lyngbya majuscula. J. Am. Chem. Soc. 2000, 122, 12041–12042. [Google Scholar] [CrossRef]
  26. Trimurtulu, G.; Ohtani, I.; Patterson, G.M.L.; Moore, R.E.; Corbett, T.H.; Valeriote, F.A.; Demchik, L. Total structures of cryptophycins, potent antitumor depsipeptides from the blue-green alga Nostoc sp. strain GSV 224. J. Am. Chem. Soc. 1994, 116, 4729–4737. [Google Scholar] [CrossRef]
  27. Costa, M.; Costa-Rodrigues, J.; Fernandes, M.H.; Barros, P.; Vasconcelos, V.; Martins, R. Marine cyanobacteria compounds with anticancer properties: A review on the implication of apoptosis. Mar. Drugs 2012, 10, 2181–2207. [Google Scholar] [CrossRef] [Green Version]
  28. Liu, L.; Herfindal, L.; Jokela, J.; Shishido, T.; Wahlsten, M.; Døskeland, S.; Sivonen, K. Cyanobacteria from terrestrial and marine sources contain apoptogens able to overcome chemoresistance in acute myeloid leukemia cells. Mar. Drugs 2014, 12, 2036–2053. [Google Scholar] [CrossRef]
  29. Visser, O.; Trama, A.; Maynadié, M.; Stiller, C.; Marcos-Gragera, R.; De Angelis, R.; Mallone, S.; Tereanu, C.; Allemani, C.; Ricardi, U.; et al. Incidence, survival and prevalence of myeloid malignancies in Europe. Eur. J. Cancer 2012, 48, 3257–3266. [Google Scholar] [CrossRef]
  30. Rowe, J.M. AML in 2016: Where we are now? Best Pract. Res. Clin. Haematol. 2016, 29, 315–319. [Google Scholar] [CrossRef]
  31. Housman, G.; Byler, S.; Heerboth, S.; Lapinska, K.; Longacre, M.; Snyder, N.; Sarkar, S. Drug resistance in cancer: An overview. Cancers 2014, 6, 1769–1792. [Google Scholar] [CrossRef] [Green Version]
  32. Shishido, T.; Humisto, A.; Jokela, J.; Liu, L.; Wahlsten, M.; Tamrakar, A.; Fewer, D.; Permi, P.; Andreote, A.; Fiore, M.; et al. Antifungal compounds from cyanobacteria. Mar. Drugs 2015, 13, 2124–2140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Leao, T.; Castelão, G.; Korobeynikov, A.; Monroe, E.A.; Podell, S.; Glukhov, E.; Allen, E.E.; Gerwick, W.H.; Gerwick, L. Comparative genomics uncovers the prolific and distinctive metabolic potential of the cyanobacterial genus Moorea. Proc. Natl. Acad. Sci. USA 2017, 114, 3198–3203. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Vaz, M.G.M.V.; Genuario, D.B.; Andreote, A.P.D.; Malone, C.F.S.; Sant’Anna, C.L.; Barbiero, L.; Fiore, M.F. Pantanalinema gen. nov. and Alkalinema gen. nov.: Novel pseudanabaenacean genera (Cyanobacteria) isolated from saline-alkaline lakes. Int. J. Syst. Evol. Microbiol. 2015, 65, 298–308. [Google Scholar] [CrossRef] [PubMed]
  35. Martins, M.D.; Branco, L.H.Z. Potamolinea gen. nov. (Oscillatoriales, Cyanobacteria): A phylogenetically and ecologically coherent cyanobacterial genus. Int. J. Syst. Evol. Microbiol. 2016, 66, 3632–3641. [Google Scholar] [CrossRef] [PubMed]
  36. Genuário, D.B.; de Souza, W.R.; Monteiro, R.T.R.; Sant’Anna, C.L.; Melo, I.S. Amazoninema gen. nov., (Synechococcales, Pseudanabaenaceae) a novel cyanobacteria genus from Brazilian Amazonian rivers. Int. J. Syst. Evol. Microbiol. 2018, 68, 2249–2257. [Google Scholar] [CrossRef] [PubMed]
  37. Caires, T.A.; de Mattos Lyra, G.; Hentschke, G.S.; de Gusmão Pedrini, A.; Sant’Anna, C.L.; de Castro Nunes, J.M. Neolyngbya gen. nov. (Cyanobacteria, Oscillatoriaceae): A new filamentous benthic marine taxon widely distributed along the Brazilian coast. Mol. Phylogenet. Evol. 2018, 120, 196–211. [Google Scholar] [CrossRef]
  38. Myers, N.; Mittermeier, R.A.; Mittermeier, C.G.; da Fonseca, G.A.B.; Kent, J. Biodiversity hotspots for conservation priorities. Nature 2000, 403, 853–858. [Google Scholar] [CrossRef]
  39. Rigonato, J.; Gama, W.A.; Alvarenga, D.O.; Branco, L.H.Z.; Brandini, F.P.; Genuário, D.B.; Fiore, M.F. Aliterella atlantica gen. nov., sp. nov., and Aliterella antarctica sp. nov., novel members of coccoid Cyanobacteria. Int. J. Syst. Evol. Microbiol. 2016, 66, 2853–2861. [Google Scholar] [CrossRef] [Green Version]
  40. Sanz, M.; Andreote, A.; Fiore, M.; Dörr, F.; Pinto, E. Structural characterization of new peptide variants produced by cyanobacteria from the Brazilian Atlantic coastal forest using liquid chromatography coupled to quadrupole time-of-flight tandem mass spectrometry. Mar. Drugs 2015, 13, 3892–3919. [Google Scholar] [CrossRef]
  41. Silva, C.S.P.; Genuário, D.B.; Vaz, M.G.M.V.; Fiore, M.F. Phylogeny of culturable cyanobacteria from Brazilian mangroves. Syst. Appl. Microbiol. 2014, 37, 100–112. [Google Scholar] [CrossRef]
  42. Silva-Stenico, M.E.; Kaneno, R.; Zambuzi, F.A.; Vaz, M.G.M.V.; Alvarenga, D.O.; Fiore, M.F. Natural products from cyanobacteria with antimicrobial and antitumor activity. Curr. Pharm. Biotechnol. 2013, 14, 820–828. [Google Scholar] [CrossRef] [PubMed]
  43. Jokela, J.; Heinilä, L.M.P.; Shishido, T.K.; Wahlsten, M.; Fewer, D.P.; Fiore, M.F.; Wang, H.; Haapaniemi, E.; Permi, P.; Sivonen, K. Production of high amounts of hepatotoxin nodularin and new protease inhibitors pseudospumigins by the Brazilian benthic Nostoc sp. CENA543. Front. Microbiol. 2017, 8, 1963. [Google Scholar] [CrossRef] [PubMed]
  44. Sanz, M.; Salinas, R.K.; Pinto, E. Namalides B and C and spumigins k–n from the cultured freshwater cyanobacterium Sphaerospermopsis torques-reginae. J. Nat. Prod. 2017, 80, 2492–2501. [Google Scholar] [CrossRef] [PubMed]
  45. Nguyen, D.D.; Melnik, A.V.; Koyama, N.; Lu, X.; Schorn, M.; Fang, J.; Aguinaldo, K.; Lincecum, T.L.; Ghequire, M.G.K.; Carrion, V.J.; et al. Indexing the Pseudomonas specialized metabolome enabled the discovery of poaeamide B and the bananamides. Nat. Microbiol. 2016, 2, 16197. [Google Scholar] [CrossRef] [Green Version]
  46. Watrous, J.; Roach, P.; Alexandrov, T.; Heath, B.S.; Yang, J.Y.; Kersten, R.D.; van der Voort, M.; Pogliano, K.; Gross, H.; Raaijmakers, J.M.; et al. Mass spectral molecular networking of living microbial colonies. Proc. Natl. Acad. Sci. USA 2012, 109, E1743–E1752. [Google Scholar] [CrossRef] [Green Version]
  47. Silva-Stenico, M.E.; Rigonato, J.; Leal, M.G.; Vaz, M.G.M.V.; Andreote, A.P.D.; Fiore, M.F. Non-ribosomal halogenated protease inhibitors from cyanobacterial isolates as attractive drug targets. Curr. Med. Chem. 2012, 19, 5205–5213. [Google Scholar] [CrossRef]
  48. Fiore, M.F.; Genuário, D.B.; da Silva, C.S.P.; Shishido, T.K.; Moraes, L.A.B.; Neto, R.C.; Silva-Stenico, M.E. Microcystin production by a freshwater spring cyanobacterium of the genus Fischerella. Toxicon 2009, 53, 754–761. [Google Scholar] [CrossRef]
  49. Shishido, T.; Kaasalainen, U.; Fewer, D.P.; Rouhiainen, L.; Jokela, J.; Wahlsten, M.; Fiore, M.; Yunes, J.; Rikkinen, J.; Sivonen, K. Convergent evolution of [D-Leucine1] microcystin-LR in taxonomically disparate cyanobacteria. BMC Evol. Biol. 2013, 13, 86. [Google Scholar] [CrossRef] [Green Version]
  50. Hoff-Risseti, C.; Dörr, F.A.; Schaker, P.D.C.; Pinto, E.; Werner, V.R.; Fiore, M.F. Cylindrospermopsin and saxitoxin synthetase genes in Cylindrospermopsis raciborskii strains from Brazilian freshwater. PLoS ONE 2013, 8, e74238. [Google Scholar] [CrossRef] [Green Version]
  51. Shishido, T.K.; Jokela, J.; Fewer, D.P.; Wahlsten, M.; Fiore, M.F.; Sivonen, K. Simultaneous production of anabaenopeptins and namalides by the cyanobacterium Nostoc sp. CENA543. ACS Chem. Biol. 2017, 12, 2746–2755. [Google Scholar] [CrossRef]
  52. Heck, K.; Alvarenga, D.O.; Shishido, T.K.; Varani, A.M.; Dörr, F.A.; Pinto, E.; Rouhiainen, L.; Jokela, J.; Sivonen, K.; Fiore, M.F. Biosynthesis of microcystin hepatotoxins in the cyanobacterial genus Fischerella. Toxicon 2018, 141, 43–50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Lima, S.T.; Alvarenga, D.O.; Etchegaray, A.; Fewer, D.P.; Jokela, J.; Varani, A.M.; Sanz, M.; Dörr, F.A.; Pinto, E.; Sivonen, K.; et al. Genetic organization of anabaenopeptin and spumigin biosynthetic gene clusters in the cyanobacterium Sphaerospermopsis torques-reginae ITEP-024. ACS Chem. Biol. 2017, 12, 769–778. [Google Scholar] [CrossRef] [PubMed]
  54. Costa, N.B.; Kolman, M.A.; Giani, A. Cyanobacteria diversity in alkaline saline lakes in the Brazilian Pantanal wetland: A polyphasic approach. J. Plankton Res. 2016, 38, 1389–1403. [Google Scholar] [CrossRef] [Green Version]
  55. Genuário, D.B.; Vaz, M.G.M.V.; de Melo, I.S. Phylogenetic insights into the diversity of homocytous cyanobacteria from Amazonian rivers. Mol. Phylogenet. Evol. 2017, 116, 120–135. [Google Scholar] [CrossRef]
  56. Genuário, D.B.; Vaz, M.G.M.V.; Santos, S.N.; Kavamura, V.N.; Melo, I.S. Cyanobacteria from Brazilian extreme environments. In Microbial Diversity in the Genomic Era; Elsevier: Amsterdam, The Netherlands, 2019; pp. 265–284. ISBN 978-0-12-814849-5. [Google Scholar]
  57. Jang, I.S.; Neto, E.C.; Guinney, J.; Friend, S.H.; Margolin, A.A. Systematic assessment of analytical methods for drug sensitivity prediction from cancer cell line data. Pac. Symp. Biocomput. 2014, 63–74. [Google Scholar] [CrossRef] [Green Version]
  58. Selheim, F.; Herfindal, L.; Martins, R.; Vasconcelos, V.; Døskeland, S.O. Neuro-apoptogenic and blood platelet targeting toxins in benthic marine cyanobacteria from the Portuguese coast. Aquat. Toxicol. 2005, 74, 294–306. [Google Scholar] [CrossRef]
  59. Campos, A.; Vasconcelos, V. Molecular mechanisms of microcystin toxicity in animal cells. Int. J. Mol. 2010, 11, 268–287. [Google Scholar] [CrossRef] [Green Version]
  60. Fischer, W.J.; Altheimer, S.; Cattori, V.; Meier, P.J.; Dietrich, D.R.; Hagenbuch, B. Organic anion transporting polypeptides expressed in liver and brain mediate uptake of microcystin. Toxicol. Appl. Pharmacol. 2005, 203, 257–263. [Google Scholar] [CrossRef] [Green Version]
  61. Botha, N.; Gehringer, M.M.; Downing, T.G.; van de Venter, M.; Shephard, E.G. The role of microcystin-LR in the induction of apoptosis and oxidative stress in CaCo2 cells. Toxicon 2004, 43, 85–92. [Google Scholar] [CrossRef]
  62. Fladmark, K.; Brustugun, O.; Hovland, R.; Bøe, R.; Gjertsen, B.; Zhivotovsky, B.; Døskeland, S. Ultrarapid caspase-3 dependent apoptosis induction by serine/threonine phosphatase inhibitors. Cell Death Differ. 1999, 6, 1099–1108. [Google Scholar] [CrossRef] [Green Version]
  63. Oftedal, L.; Skjærven, K.H.; Coyne, R.T.; Edvardsen, B.; Rohrlack, T.; Skulberg, O.M.; Døskeland, S.O.; Herfindal, L. The apoptosis-inducing activity towards leukemia and lymphoma cells in a cyanobacterial culture collection is not associated with mouse bioassay toxicity. J. Ind. Microbiol. Biotechnol. 2011, 38, 489–501. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Neuhof, T.; Dieckmann, R.; von Hans, D.; Preussel, K.; Seibold, M.; Schmieder, P. Lipopeptides Having Pharmaceutical Activity. WO2006092313A1, 8 September 2006. [Google Scholar]
  65. Hrouzek, P.; Kuzma, M.; Černý, J.; Novák, P.; Fišer, R.; Šimek, P.; Lukešová, A.; Kopecký, J. The cyanobacterial cyclic lipopeptides puwainaphycins f/g are inducing necrosis via cell membrane permeabilization and subsequent unusual actin relocalization. Chem. Res. Toxicol. 2012, 25, 1203–1211. [Google Scholar] [CrossRef] [PubMed]
  66. Welker, M.; Dittmann, E.; von Döhren, H. Cyanobacteria as a source of natural products. In Methods in Enzymology; Elsevier: Amsterdam, The Netherlands, 2012; Volume 517, pp. 23–46. ISBN 978-0-12-404634-4. [Google Scholar]
  67. Zhou, Z.; Tang, X.; Chen, H.; Wang, Y. Comparative studies of saxitoxin (STX)-induced cytotoxicity in Neuro-2a and RTG-2 cell lines: An explanation with respect to changes in ROS. Chemosphere 2018, 192, 66–74. [Google Scholar] [CrossRef] [PubMed]
  68. Melegari, S.P.; de Carvalho Pinto, C.R.S.; Moukha, S.; Creppy, E.E.; Matias, W.G. Evaluation of cytotoxicity and cell death induced in vitro by saxitoxin in mammalian cells. J Toxicol. Environ. Health Part A 2015, 78, 1189–1200. [Google Scholar] [CrossRef]
  69. Dodds, W.K.; Gudder, D.A.; Mollenhauer, D. The ecology of Nostoc. J. Appl. Phycol. 1995, 31, 2–18. [Google Scholar] [CrossRef]
  70. Liaimer, A.; Jensen, J.B.; Dittmann, E. A genetic and chemical perspective on symbiotic recruitment of cyanobacteria of the genus Nostoc into the host plant Blasia pusilla L. Front. Microbiol. 2016, 7. [Google Scholar] [CrossRef]
  71. Kobayashi, A.; Kajiyama, S. Secondary metabolites of cyanobacteria Nostoc sp. Chin. J. Oceanol. Limnol. 1998, 16, 109–117. [Google Scholar] [CrossRef]
  72. Dittmann, E.; Gugger, M.; Sivonen, K.; Fewer, D.P. Natural product biosynthetic diversity and comparative genomics of the cyanobacteria. Trends Microbiol. 2015, 23, 642–652. [Google Scholar] [CrossRef]
  73. Oksanen, I.; Jokela, J.; Fewer, D.P.; Wahlsten, M.; Rikkinen, J.; Sivonen, K. Discovery of rare and highly toxic microcystins from lichen-associated cyanobacterium Nostoc sp. Strain IO-102-I. Appl. Environ. Microbiol. 2004, 70, 5756–5763. [Google Scholar] [CrossRef] [Green Version]
  74. Fujii, K.; Sivonen, K.; Kashiwagi, T.; Hirayama, K.; Harada, K. Nostophycin, a novel cyclic peptide from the toxic cyanobacterium Nostoc sp. 152. J. Org. Chem. 1999, 64, 5777–5782. [Google Scholar] [CrossRef]
  75. Subbaraju, G.V.; Golakoti, T.; Patterson, G.M.L.; Moore, R.E. Three new cryptophycins from Nostoc sp. GSV 224. J. Nat. Prod. 1997, 60, 302–305. [Google Scholar] [CrossRef] [PubMed]
  76. Jüttner, F.; Todorova, A.K.; Walch, N.; von Philipsborn, W. Nostocyclamide M: A cyanobacterial cyclic peptide with allelopathic activity from Nostoc 31. Phytochemistry 2001, 57, 613–619. [Google Scholar] [CrossRef]
  77. Becher, P.G.; Beuchat, J.; Gademann, K.; Jüttner, F. Nostocarboline: Isolation and synthesis of a new cholinesterase inhibitor from Nostoc 78-12A. J. Nat. Prod. 2005, 68, 1793–1795. [Google Scholar] [CrossRef] [PubMed]
  78. Hirata, K.; Yoshitomi, S.; Dwi, S.; Iwabe, O.; Mahakhant, A.; Polchai, J.; Miyamoto, K. Bioactivities of nostocine a produced by a freshwater cyanobacterium Nostoc spongiaeforme TISTR 8169. J. Biosci. Bioeng. 2003, 95, 512–517. [Google Scholar] [CrossRef]
  79. Nagatsu, A.; Kajitani, H.; Sakakibara, J. Muscoride A: A new oxazole peptide alkaloid from freshwater cyanobacterium Nostoc muscorum. Tetrahedron Lett. 1995, 36, 4097–4100. [Google Scholar] [CrossRef]
  80. Gromov, B.V.; Vepritskiy, A.A.; Titova, N.N.; Mamkayeva, K.A.; Alexandrova, O.V. Production of the antibiotic cyanobacterin LU-1 by Nostoc linckia CALU 892 (cyanobacterium). J. Appl. Phycol. 1991, 3, 55–59. [Google Scholar] [CrossRef]
  81. Jimenez, J.I.; Huber, U.; Moore, R.E.; Patterson, G.M.L. Oxidized welwitindolinones from terrestrial Fischerella spp. J. Nat. Prod. 1999, 62, 569–572. [Google Scholar] [CrossRef]
  82. Cagide, E.; Becher, P.G.; Louzao, M.C.; Espiña, B.; Vieytes, M.R.; Jüttner, F.; Botana, L.M. Hapalindoles from the cyanobacterium Fischerella: Potential sodium channel modulators. Chem. Res. Toxicol. 2014, 27, 1696–1706. [Google Scholar] [CrossRef]
  83. Mo, S.; Krunic, A.; Chlipala, G.; Orjala, J. Antimicrobial ambiguine isonitriles from the cyanobacterium Fischerella ambigua. J. Nat. Prod. 2009, 72, 894–899. [Google Scholar] [CrossRef] [Green Version]
  84. Glaser, B. Prehistorically modified soils of central Amazonia: A model for sustainable agriculture in the twenty-first century. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2007, 362, 187–196. [Google Scholar] [CrossRef] [Green Version]
  85. Pupin, B.; Nahas, E. Microbial populations and activities of mangrove, restinga and Atlantic forest soils from Cardoso Island, Brazil. J. Appl. Microbiol. 2014, 116, 851–864. [Google Scholar] [CrossRef] [PubMed]
  86. Fiore, M.F.; Moon, D.H.; Tsai, S.M.; Lee, H.; Trevors, J.T. Miniprep DNA isolation from unicellular and filamentous cyanobacteria. J. Microbiol. Methods 2000, 39, 159–169. [Google Scholar] [CrossRef]
  87. Taton, A.; Grubisic, S.; Brambilla, E.; De Wit, R.; Wilmotte, A. Cyanobacterial diversity in natural and artificial microbial mats of Lake Fryxell (McMurdo Dry Valleys, Antarctica): A morphological and molecular approach. Appl. Environ. Microbiol. 2003, 69, 5157–5169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  88. Ewing, B.; Green, P. Base-calling of automated sequencer traces using phred. II. Error probabilities. Genome Res. 1998, 8, 186–194. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Ewing, B.; Hillier, L.; Wendl, M.C.; Green, P. Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 1998, 8, 175–185. [Google Scholar] [CrossRef] [Green Version]
  90. Gordon, D.; Abajian, C.; Green, P. Consed: A graphical tool for sequence finishing. Genome Res. 1998, 8, 195–202. [Google Scholar] [CrossRef] [Green Version]
  91. Darriba, D.; Taboada, G.L.; Doallo, R.; Posada, D. jModelTest 2: More models, new heuristics and parallel computing. Nat. Methods 2012, 9, 772. [Google Scholar] [CrossRef] [Green Version]
  92. Guindon, S.; Gascuel, O. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst. Biol. 2003, 52, 696–704. [Google Scholar] [CrossRef] [Green Version]
  93. Ronquist, F.; Teslenko, M.; van der Mark, P.; Ayres, D.L.; Darling, A.; Höhna, S.; Larget, B.; Liu, L.; Suchard, M.A.; Huelsenbeck, J.P. MrBayes 3.2: Efficient bayesian phylogenetic inference and model choice across a large model space. Syst. Biol. 2012, 61, 539–542. [Google Scholar] [CrossRef] [Green Version]
  94. Kotai, J. Instructions for Preparation of Modified Nutrient Solution Z8 for Algae; Norwegian Institute for Water Research: Oslo, Norway, 1972. [Google Scholar]
  95. Matsuo, Y.; MacLeod, R.; Uphoff, C.; Drexler, H.; Nishizaki, C.; Katayama, Y.; Kimura, G.; Fujii, N.; Omoto, E.; Harada, M.; et al. Two acute monocytic leukemia (AML-M5a) cell lines (MOLM-13 and MOLM-14) with interclonal phenotypic heterogeneity showing MLL-AF9 fusion resulting from an occult chromosome insertion, ins(11;9)(q23;p22p23). Leukemia 1997, 11, 1469–1477. [Google Scholar] [CrossRef] [Green Version]
  96. Oftedal, L.; Selheim, F.; Wahlsten, M.; Sivonen, K.; Døskeland, S.O.; Herfindal, L. Marine Benthic Cyanobacteria contain apoptosis-inducing activity synergizing with daunorubicin to kill leukemia cells, but not cardiomyocytes. Mar. Drugs 2010, 8, 2659–2672. [Google Scholar] [CrossRef] [PubMed]
  97. Chambers, M.C.; Maclean, B.; Burke, R.; Amodei, D.; Ruderman, D.L.; Neumann, S.; Gatto, L.; Fischer, B.; Pratt, B.; Egertson, J.; et al. A cross-platform toolkit for mass spectrometry and proteomics. Nat. Biotechnol. 2012, 30, 918–920. [Google Scholar] [CrossRef] [PubMed]
  98. Wang, M.; Carver, J.J.; Phelan, V.V.; Sanchez, L.M.; Garg, N.; Peng, Y.; Nguyen, D.D.; Watrous, J.; Kapono, C.A.; Luzzatto-Knaan, T.; et al. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking. Nat. Biotechnol. 2016, 34, 828–837. [Google Scholar] [CrossRef] [PubMed] [Green Version]
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Figure 1. Evolutionary history based on 16S rRNA gene sequences of the 62 analyzed cyanobacterial strains (in bold) and 73 other strains: According to this Bayesian inference, the sequences formed diverse clades belonging to different orders. Accession numbers in NCBI are shown in parentheses.
Figure 1. Evolutionary history based on 16S rRNA gene sequences of the 62 analyzed cyanobacterial strains (in bold) and 73 other strains: According to this Bayesian inference, the sequences formed diverse clades belonging to different orders. Accession numbers in NCBI are shown in parentheses.
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Figure 2. Cytotoxic cell extract from Nostoc sp. CENA69: Human leukemia MOLM-13 and rat kidney epithelial NRK cells in different concentrations of cyanobacterial organic extract (indicated as mg of dry weight (DW) of freeze-dried cell mass used per ml of cell suspension). DMSO: dimethyl sulfoxide (negative control). Note the appearance of pyknotic and hypercondenced chromatin in the cells treated with high concentration of CENA69 extract.
Figure 2. Cytotoxic cell extract from Nostoc sp. CENA69: Human leukemia MOLM-13 and rat kidney epithelial NRK cells in different concentrations of cyanobacterial organic extract (indicated as mg of dry weight (DW) of freeze-dried cell mass used per ml of cell suspension). DMSO: dimethyl sulfoxide (negative control). Note the appearance of pyknotic and hypercondenced chromatin in the cells treated with high concentration of CENA69 extract.
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Figure 3. Molecular network of natural products in cyanobacterial extracts from Brazilian (purple) and control (green) strains: Clusters of molecules found only in the former strains are highlighted (1–9). Compound mass/charge ratios (m/z) are indicated in the node labels. The complete network can be found in Figure S2.
Figure 3. Molecular network of natural products in cyanobacterial extracts from Brazilian (purple) and control (green) strains: Clusters of molecules found only in the former strains are highlighted (1–9). Compound mass/charge ratios (m/z) are indicated in the node labels. The complete network can be found in Figure S2.
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Figure 4. Cluster of compounds in cyanobacterial extracts from Brazilian strains showing potent anticancer or cytotoxic activities (except Aulosira sp. CENA291): Compound mass/charge ratios (m/z; more than one isotope ion/compound could be present) are indicated in the node labels. See also Figure S4 and File S3.
Figure 4. Cluster of compounds in cyanobacterial extracts from Brazilian strains showing potent anticancer or cytotoxic activities (except Aulosira sp. CENA291): Compound mass/charge ratios (m/z; more than one isotope ion/compound could be present) are indicated in the node labels. See also Figure S4 and File S3.
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Table
Table 1. Comparison of inhibition caused by organic cyanobacterial extracts in rat kidney epithelial NRK and human leukemia MOLM-13 cell lines as measured by the area under the curve (AUC) of cells with normal nuclei and EC50. See methods Section 5.3 for calculations of EC50 and AUC.
Table 1. Comparison of inhibition caused by organic cyanobacterial extracts in rat kidney epithelial NRK and human leukemia MOLM-13 cell lines as measured by the area under the curve (AUC) of cells with normal nuclei and EC50. See methods Section 5.3 for calculations of EC50 and AUC.
Cyanobacterial StrainAUCEC50
NRKMOLM-13Ratio
Total AreaStd. ErrorTotal AreaStd. ErrorNRKMOLM-13
Nostoc sp. CENA6963.012.90226.614.4122.40.0980.054
Fischerella sp. CENA71 *106.39.46745.454.0532.31.4930.363
Fischerella sp. CENA72 *164.414.7852.329.0733.13.1290.201
Fischerella sp. CENA161134.06.41769.027.4951.90.5080.083
Cyanobium sp. CENA185199.7-110.7−−§>15#1.590
Limnothrix sp. CENA217198.61.033137.73.028−§>15#1.410
Nostoc sp. CENA296 *172.515.9396.914.0761.811.261.212
Fischerella sp. CENA298124.98.21098.9012.371.32.2831.324
Aliinostoc sp. CENA513129.26.39053.585.3282.40.4910.087
Aliinostoc sp. CENA514 *108.24.70632.965.6313.30.8420.140
Aliinostoc sp. CENA524 *159.64.36765.364.1242.46.0120.620
Aliinostoc sp. CENA53585.712.18260.5410.191.41.2180.566
Range given due to missing data in intermediate toxicity (see Figure S1); * p-value < 0.0001 calculated using extra-sum-of-squares F test in GraphPad; # Cells were not affected with highest concentration tested. § Value could not be calculated due to a lack of activity in NRK cells.
Table
Table 2. Summary of the antifungal (F), antibacterial (B), and anticancer (C) activities observed in the cyanobacterial crude extracts (see also Files S1 and S2). Bioactive cell extracts (+) showed inhibition zone in the antimicrobial assay and above 70% induction of apoptosis of MOLM-13 cell lines at the concentration of 13.3 mgDW mL−1. Previously obtained information of the compounds produced by the studied strains are presented. Cyanobacterial extracts that induced apoptosis in less than 70% of MOLM-13 cells did not present inhibition halo in the antimicrobial assays or that were not previously described to produce a natural product were not included in this table. The use of sterile water may have influenced the susceptibility of fungal and bacterial cells.
Table 2. Summary of the antifungal (F), antibacterial (B), and anticancer (C) activities observed in the cyanobacterial crude extracts (see also Files S1 and S2). Bioactive cell extracts (+) showed inhibition zone in the antimicrobial assay and above 70% induction of apoptosis of MOLM-13 cell lines at the concentration of 13.3 mgDW mL−1. Previously obtained information of the compounds produced by the studied strains are presented. Cyanobacterial extracts that induced apoptosis in less than 70% of MOLM-13 cells did not present inhibition halo in the antimicrobial assays or that were not previously described to produce a natural product were not included in this table. The use of sterile water may have influenced the susceptibility of fungal and bacterial cells.
TaxonStrainActivityCompounds DetectedReference
FBC a
Pannus brasilienseCCIbt3594−−+−This study
Nostoc piscinaleCENA21−−+−This study
Nostoc sp.CENA67−−+ *−[42] and this study
Nostoc sp.CENA69−−+ *−[42] and this study
Fischerella sp.CENA71+++−This study
Fischerella sp.CENA72+++−This study
Oxynema sp.CENA135−−+ *Microcystin, Saxitoxin[41,42] and this study
Nodosilinea sp.CENA137−−+−this study
Nodosilinea sp.CENA147−−+−this study
Chlorogloea sp.CENA152−−+−this study
Cyanobium sp.CENA153−−+Microcystin, Aeruginosin[41,47] and this study
Cyanobium sp.CENA154−−+ *Aeruginosin[42,47] and this study
Halotia werneraeCENA159−−+−This study
Halotia werneraeCENA160−−+−This study
Fischerella sp.CENA161+++Microcystin[48] and this study
Cyanobium sp.CENA185−−+Microcystin[41] and this study
Cyanospira sp.CENA215−−+−This study
Nostoc sp.CENA216−−+−This study
Limnothrix sp.CENA217−−+−This study
Nostoc sp.CENA219−−+Hassallidin[32] and this study
Phormidium sp.CENA270−−+Microcystin[49] and this study
Nostoc sp.CENA271−−−Aeruginosin[47] and this study
Gloeotrichia sp.CENA272−−+−This study
Calothrix sp.CENA283−−+−This study
Nostoc sp.CENA296−−+−This study
Fischerella sp.CENA298+++−This study
Cylindrospermopsis raciborskiiCENA302−−+Saxitoxin[50] and this study
Brasilonema sp.CENA382−−+−This study
Pseudanabaenaceae cyanobacteriumCENA510−−+−This study
Aliinostoc sp.CENA513+++−This study
Aliinostoc sp.CENA514+−+−This study
Aliinostoc sp.CENA524−++−This study
Geminocystis sp.CENA526−−+−This study
Aliinostoc sp.CENA535+−+PuwainaphycinThis study
Tolypothrix sp.CENA541−−+−This study
Aliinostoc sp.CENA543−−+Nodularin, Anabaenopeptin, Pseudoaeruginosin[11,43] and this study
Aliinostoc sp.CENA548+−+PuwainaphycinThis study
Brasilonema octagenarumUFV-E1−−+−This study
Brasilonema sp.UFV-L1−−+−This study
Brasilonema sp.UFV-27−−+−This study
a Cytotoxic towards MOLM-13 cells (see Table 1).*Anticancer activity has also been previously observed [40].

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Shishido, T.K.; Popin, R.V.; Jokela, J.; Wahlsten, M.; Fiore, M.F.; Fewer, D.P.; Herfindal, L.; Sivonen, K. Dereplication of Natural Products with Antimicrobial and Anticancer Activity from Brazilian Cyanobacteria. Toxins 2020, 12, 12. https://doi.org/10.3390/toxins12010012

AMA Style

Shishido TK, Popin RV, Jokela J, Wahlsten M, Fiore MF, Fewer DP, Herfindal L, Sivonen K. Dereplication of Natural Products with Antimicrobial and Anticancer Activity from Brazilian Cyanobacteria. Toxins. 2020; 12(1):12. https://doi.org/10.3390/toxins12010012

Chicago/Turabian Style

Shishido, Tania Keiko, Rafael Vicentini Popin, Jouni Jokela, Matti Wahlsten, Marli Fatima Fiore, David P. Fewer, Lars Herfindal, and Kaarina Sivonen. 2020. "Dereplication of Natural Products with Antimicrobial and Anticancer Activity from Brazilian Cyanobacteria" Toxins 12, no. 1: 12. https://doi.org/10.3390/toxins12010012

APA Style

Shishido, T. K., Popin, R. V., Jokela, J., Wahlsten, M., Fiore, M. F., Fewer, D. P., Herfindal, L., & Sivonen, K. (2020). Dereplication of Natural Products with Antimicrobial and Anticancer Activity from Brazilian Cyanobacteria. Toxins, 12(1), 12. https://doi.org/10.3390/toxins12010012

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