Abstract
Due to sedentary lifestyle and harsh environmental conditions, gorgonian coral extracts are recognized as a rich source of novel compounds with various biological activities, of interest to the pharmaceutical and cosmetic industries. The presented study aimed to perform chemical screening of organic extracts and semi-purified fractions obtained from the common Adriatic gorgonian, sea fan, Eunicella cavolini (Koch, 1887) and explore its abilities to exert different biological effects in vitro. Qualitative chemical evaluation revealed the presence of several classes of secondary metabolites extended with mass spectrometry analysis and tentative dereplication by using Global Natural Product Social Molecular Networking online platform (GNPS). Furthermore, fractions F4 and F3 showed the highest phenolic (3.28 ± 0.04 mg GAE/g sample) and carotene (23.11 ± 2.48 mg β-CA/g sample) content, respectively. The fraction F3 inhibited 50% of DPPH (2,2-diphenyl-1-picryl-hydrazyl-hydrate) and ABTS (2,2′-azino-bis (3-ethylbenzthiazolin-6-yl) sulfonic acid) radicals at the concentrations of 767.09 ± 11.57 and 157.16 ± 10.83 µg/mL, respectively. The highest anti-inflammatory potential was exhibited by F2 (IC50 = 198.70 ± 28.77 µg/mL) regarding the inhibition of albumin denaturation and F1 (IC50 = 254.49 ± 49.17 µg/mL) in terms of soybean lipoxygenase inhibition. In addition, the most pronounced antiproliferative effects were observed for all samples (IC50 ranging from 0.82 ± 0.14–231.18 ± 46.13 µg/mL) against several carcinoma cell lines, but also towards non-transformed human fibroblasts pointing to a generally cytotoxic effect. In addition, the antibacterial activity was tested by broth microdilution assay against three human pathogenic bacteria: Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus. The latter was the most affected by fractions F2 and F3. Finally, further purification, isolation and characterization of pure compounds from the most active fractions are under investigation.
Keywords: biological activities, biological screening, Eunicella cavolini, gorgonian corals, organic extracts
1. Introduction
Due to the extreme conditions (temperature, salinity, pressure, variable illumination) of harsh marine environment, a constant need for the protection from predators and to aid in the hunting process as well as to defend their territory against invading competitors, the flora and fauna of the marine ecosystem are known for their broad chemo- and biodiversity [1,2]. Marine organisms have been also used for centuries as food and as traditional medicines for the treatment of various diseases, mainly by Asiatic nations who have recognized their health benefits and ethnopharmacological potential [3,4]. However, only in the last century, marine species have started to be more studied as new resources of bioactive compounds [5,6,7]. Various secondary metabolites, including alkaloids, sterols, terpenoids, peptides and polyketides with unique structural motives and diverse biological activities have been isolated from both marine invertebrates and vertebrates [6]. Consequently, many biologically active marine natural products have been reported in the scientific literature [8,9,10,11,12,13,14,15]. In particular, sponges and their symbiotic microorganisms were identified as the richest source of secondary metabolites with broad pallet of biological activities. On the other hand, cnidarians have been significantly less researched [5,16,17,18]. This particularly refers to sedentary soft and stony coral organisms that produce secondary metabolites with protective or signaling functions in order to survive in their often very specific and harsh marine habitats [5,19,20].
Eunicella species, mainly known for their branched growth, belong to the gorgonian soft corals [21,22,23]. Gorgonians are often considered as the ‘sea forests’ due to morphological features and function contributing to their important ecological role on the hard or soft sea bottoms and as such, significantly contribute to the biodiversity of Mediterranean Sea basin [19,24]. Recently, several population studies have revealed that climate changes accelerated by anthropogenic impact, have led to numerous mass mortality events of Eunicella coral assemblages [25,26,27]. These circumstances along with the slow growth and recovery pattern, reveal a need for systematic scientific studies on their adaptation to the new ecological conditions [21]. Yellow-orange E. cavolini (Koch, 1887) and white E. singularis (Esper, 1791) differ in the depth of their habitats and are two species of Eunicella genus that currently dominate the coral communities of the Mediterranean Sea [21,28]. Secondary metabolites and their biological effects of Eunicella species have only very recently been covered by the scientific literature. A number of metabolites isolated from these corals, were shown to exhibit high cytotoxic, antimicrobial, and anti-inflammatory activities [29]. As there is an imperative need for novel anticancer drugs with new modes of action, significant research has been performed for the identification of new leads derived from natural products [8]. However, despite enormous efforts and improvements in oncology treatments, cancer has been identified among the leading health problems and causes of death, worldwide. Over recent decades, marine organisms were finally recognized as a new and rich source of bioactive natural products that might serve as scaffolds for the production of semisynthetic and synthetic derivatives to be turned into drugs and investigated in clinical trials [30].
With these assumptions in mind and within our platform of the Adriatic Sea bioprospecting programme [31], we evaluated chemical composition and biological activities of the yellow gorgonian, E. cavolini from the Adriatic Sea. Herein, we present results of antiproliferative, antibacterial, antioxidative and anti-inflammatory activities screenings of organic extracts and corresponding, semi-purified fractions of E. cavolini.
2. Results and Discussion
Eunicella cavolini belongs to the order of Alcyonacea, phylum Cnidaria that comprises of more than 11,000 species [32]. As reviewed by Rocha et al. [5] and our group [29], gorgonians have been already proven as a rich source of secondary metabolites displaying various biological activities. The isolated bioactive compounds were mostly terpenoids and steroids with antitumor, anti-inflammatory, antimicrobial, antimalarial and antifoulant properties [5]. Herein, the qualitative and quantitative chemical analyses of the extract and semi-purified fractions of E. cavolini were performed. Furthermore, their antioxidative, antiproliferative, antibacterial and anti-inflammatory activities were examined.
2.1. Extraction Yield, Qualitative and Quantitative Chemical Screening
The exhaustive maceration of 492 g of E. cavolini resulted in 6.81 g of organic extract (OE), representing an extraction yield of 1.38%. Further purification of OE using three different organic solvents (cyclohexane, ethyl acetate and methanol) in a certain ratio yielded four semi-purified fractions of distinct polarity with the overall yields being 0.73, 0.13, 0.13 and 0.24% for F1–F4, respectively (Table 1). Although the extraction optimization was not the main purpose of this research, the obtained yield was lower compared to the studies of Ioannou et al. [33,34,35]. It is possible that different extraction time, sample preparation or the health status of coral colony, particularly overgrowth, necrosis and mass mortality events hitting gorgonians lately, could contribute to the different growth and biochemical composition [26,27,36,37]. The latter might be also affected by different area of sampling as already suggested by Leal et al. [18].
Table 1.
Solvents | Sample Abbreviation | Extraction/ Purification Yield (%) * |
TPC (mg GAE/g Sample) | TCC (mg β-CA/g Sample) |
---|---|---|---|---|
DCM/MeOH = 3/1 | OE | 1.38 | 2.69 ± 0.01 | 4.93 ± 0.05 |
c-HEX/EA = 3/1 | F1 | 0.73 (52.86) | 1.05 ± 0.09 | 13.30 ± 1.26 |
c-HEX/EA = 1/1 | F2 | 0.13 (9.61) | 1.21 ± 0.17 | 16.29 ± 1.48 |
EA | F3 | 0.13 (9.58) | 1.70 ± 0.06 | 23.11 ± 2.48 |
EA/MeOH = 4/1 | F4 | 0.24 (17.13) | 3.28 ± 0.04 | 10.62 ± 0.97 |
TPC, total phenolic content; GAE, gallic acid equivalents; TCC, total carotene content; β-CA, β-carotene equivalents. TPC and TCC are expressed as mean value ± standard deviation of triplicate measurement. * Values in parentheses denote extraction yield of fractions from organic extract.
In order to examine the metabolomic profiles of OE and F1–F4 samples, they were subjected to qualitative chemical screening based on colorimetric reactions which revealed the presence of several classes of metabolites (Table 2). The observed results confirmed the presence of saponins, glycosides and phenols for the first time in E. cavolini samples in addition to the alkaloids [38], steroids [33,34,35,39] and terpenoids [40,41] which were already isolated by Greek and French-Italian scientific groups (Table 2). Alkaloids, terpenoids, phenols and glycosides were present in all samples. However, only fractions F3 and F4 contained saponins, while sterols could not be detected in fraction F4. Phytochemical tests are not specific for individual classes of compounds. For instance, the Keller-Killiani test is used to detect cardiac glycosides whereas the aglycone moiety can be present due to other types of secondary metabolites. The presence of sterols and terpenes correlates well with the fact that up to 90% of organic extract of soft corals contains sterols, while the rest being terpenes as reported by Edrada et al. [42]. Bracco et al. [43] pointed out that carotenes and derivatives such as xanthophylls are the most abundant pigments in animals as they are substantial in the process of photosynthesis and responsible for the color of coral tissues. Nevertheless, the presence of the herein detected saponins, glycosides and phenols might also be of great interest because of their potential pharmacological utilization, with emphasis on anticancer activity [44,45,46].
Table 2.
Sample | Saponins | Sterols | Alkaloids | Terpenoids | Glycosides | Phenols |
---|---|---|---|---|---|---|
OE | − | + | + | + | + | + |
F1 | − | + | + | + | + | + |
F2 | − | + | + | + | + | + |
F3 | + | + | + | + | + | + |
F4 | + | − | + | + | + | + |
“+” and “−” indicate the presence or absence of certain class of metabolites, respectively.
In addition, both, total phenolic and carotene contents (TPC and TCC, respectively) were confirmed in all samples followed by quantitative experiments (Table 1). Total phenolic content was determined by a Folin-Ciocalteu (FC) assay and expressed as gallic acid equivalents (GAE). It was the highest in F4 (3.28 ± 0.04 mg GAE/g sample) while F1 had the lowest content (1.05 ± 0.09 mg GAE/g sample). This might be in accordance with the highest polarity of the eluent system used to obtain the semi-purified fractions. On the contrary, total phenols were also detected in E. singularis at much higher content (>30 mg GAE/g sample), however, even more polar solvents were used for extraction that may result in higher recovery of phenolic compounds from natural matrices [47]. On the other hand, according to Prior et al. [48], FC reagent can react with non-phenolic metabolites as well, including alkaloids (i.e., nucleosides) which were also detected in the samples. Alkaloid compounds may therefore contribute to the overall phenolic content and thus, only rough estimation of their content may be achieved [48]
Although carotenoids, such as astaxanthin and canthaxanthin were isolated from gorgonian coral, Corallium rubrum, [43,49] their presence in Eunicella species was not yet studied. Therefore, the total carotene content of E. cavolini was analyzed as a preliminary examination of the presence of terpenoids. TCC, given as β-carotene equivalent, was the highest in F3 (23.11 ± 2.48 mg β-CA/g sample) and the lowest in OE (4.93 ± 0.05 mg β-CA/g sample) (Table 1). However, these results need to be interpreted carefully since the same experimental setup was used as for qualitatively spectrophotometrically determination of terpenoids and thus, the affection of the overall results by the other types of terpenes cannot be excluded.
Qualitative chemical screening was expanded by mass spectrometry analysis of OE. MS/MS data were used to perform tentative compounds dereplication by matching experimental spectra to spectral libraries by use of the Global Natural Product Social Molecular Networking (GNPS) online platform. The best spectral matches (Figures S6–S20) and estimated compounds are presented in Table 3. Such molecular analysis allowed for identification of 15 tentative compounds classified either as terpenoids, steroids, alkaloids or compounds containing phenolic moiety as observed qualitatively. Additional matching of spectra with other public databases might be useful for more robust compounds identifications.
Table 3.
Compound Name | Structure | Class | Exact Mass | |
---|---|---|---|---|
1 | (2E,4E)-5-{(1S,2R,4aS,5S,8S,8aS)-2-[(2E)-2-Buten-2-yl]-5-hydroxy-3,8-dimethyl-1,2,4a,5,6,7,8,8a-octahydro-1-naphthalenyl}-2,4-pentadienoic acid Phomopsidin) |
Fatty acyls | 330.219 | |
2 | (3bS,5aS,7R,8R,10aR,10bS)-3b,4,5,6,7,8,9,10,10a,10b-Decahydro-7-hydroxy-10b-methyl-5a,8-Methano-5aH-cyclohepta(5,6)naphtho(2,1-b)furan-7-methanol (Kahweol) |
Terpenoids | 314.188 | |
3 | (5Z,8Z,11Z,14Z)-17,18-Epoxy-5,8,11,14-icosatetraenoic acid | Fatty acids | 318.22 | |
4 | (2S,4S)-Icos-19-ene-1,2,4-triol | Fatty acyls | 328.297 | |
5 | 5-[2-(Furan-3-yl)ethyl]-8-hydroxy-5,6,8a-trimethyl-3,4,4a,6,7,8-hexahydronaphthalene-1-carboxylic acid * | Prenol lipids | 332.198 | |
6 | 3-Hydroxy-4-(2,6,7-trihydroxy-6-methylheptan-2-yl)benzoic acid * | Prenol lipids | 298.142 | |
7 | (Z)-4-Oxo-1-(4-(5-oxotetrahydrofuran-2-yl)butyl)-5-(pent-2-en-1-yl acetate) * | Fatty Acyls | 348.194 | |
8 | 5-[2-(3-Furyl)ethyl]-8a-(hydroxymethyl)-5,6-dimethyl-3,4,4a,5,6,7,8,8a-octahydro-1-naphthalenecarboxylic acid * | Prenol lipids Diterpenoids |
332.199 | |
9 | Abieta-8(14),9(11),12-triene-7,18-diol | Prenol lipids Diterpenoids |
302.225 | |
10 | N-[4-[1-[2-(6-methylpyridin-2-yl)ethyl]piperidine-4-carbonyl]phenyl]methanesulfonamide | Alkaloids | 401.177 | |
11 | 2’,4’,6’-Trihydroxydihydrochalcone | Phenylpropanoids and polyketides | 258.089 | |
12 | (3S,6R,6aS,7S)-6,6a,7,8-Tetrahydroxy-3-methyl-3,4,5,6,7,12a-hexahydro-2H-benzo[a]anthracene-1,12-dione | Benzenoids Tetralins |
344.125 | |
13 | Methyl (1S,15S,18S,19S,20S)-18-hydroxy-1,3,11,12,14,15,16,17, 18,19,20,21-dodecahydroyohimban-19-carboxylate (Rauwolscine) |
Alkaloids | 354.450 | |
14 | (9S,10R,13R,14S,17R)-10,13-dimethyl-17-((R)-6-methylheptan-2-yl)-1,2,8,9,10,11,12,13,14,15,16,17-dodecahydro-3H-cyclopenta[a]phenanthren-3-one | Steroids and steroid derivatives | 382.324 | |
15 | 1-[2,4-Dihydroxy-6-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyphenyl]-3-(4-methoxyphenyl)propan-1-one | Flavonoid glycosides | 450.153 |
* Complete stereochemistry was not provieded by the GNPS result.
2.2. Antioxidant Activities
Previous studies have demonstrated that gorgonians as well as other soft coral species produce non-enzymatic, free radical scavengers to counteract negative effects generated during inflammatory responses [50,51,52,53]. Furthermore, corals exhibit higher antioxidant potential during temperature deviations associated with environmental changes [54,55]. Nevertheless, the antioxidant activity of soft and gorgonian corals have been scarcely examined [50,56].
In present study, antioxidant activity of OE and its semi-purified fractions (F1–F4) was evaluated through inhibition of DPPH and ABTS radicals based on electron-transfer. As shown in Table 4, F3 displayed the highest antioxidant potential with IC50 values of 767.09 ± 11.57 and 157.16 ± 10.83 µg/mL against DPPH and ABTS radicals, respectively. In contrast, F4 failed to exhibit IC50 values in both assays in the tested concentration range. It is important to note that none of the tested samples has displayed potent scavenging activity compared to Trolox used as a positive standard. Interestingly, studies on E. singularis performed by Deghrigue et al. [47,57] showed that more polar fractions had higher DPPH radical scavenging potential as a result of higher phenolic content. In our case, it may be presumed that other metabolites contribute more to observed biological activity. This is supported by the carotene content being the highest in the most active fraction, F3 and generally high antioxidant activities of carotenoids (i.e., astaxanthin) [58,59].
Table 4.
Sample | IC50 of DPPH Scavenging Activity (µg/mL) | IC50 of ABTS Scavenging Activity (µg/mL) |
---|---|---|
OE | 963.67 ± 80.07 | 395.84 ± 24.25 |
F1 | 896.22 ± 39.36 | >1000 |
F2 | 984.68 ± 24.35 | 282.68 ± 23.77 |
F3 | 767.09 ± 11.57 | 157.16 ± 10.83 |
F4 | >1000 | >1000 |
Trolox | <62.5 | <62.5 |
Values are expressed as mean value ± standard deviation of triplicate measurements.
A difference observed between those two assays, might occurred due to the wavelengths used to measure the radical inhibition, namely 550 and 734 nm for DPPH and ABTS radicals, respectively. The latter assay on longer wavelength was used since the first overlaps and interfere with the absorbance values of extract/fractions resulting in a more difficult interpretation of the results. The observed interference can be eliminated by subtraction of the absorbance of the pure sample, however, the resulting curve might not show the real situation as discussed in detail by Apak et al. [60]. Furthermore, DPPH is a hindered, stable and long-lived radical whose inhibition is slower than the corresponding inhibition of ABTS radical, showing other disadvantages such as steric effects, more complex chemistry of redox reactions and the presence of contaminants [60,61,62].
2.3. In Vitro Anti-Inflammatory Activities
Nowadays, the discovery of novel agents as substitutes for non-steroidal anti-inflammatory drugs whose administration often leads to harmful side effects is highly needed [63]. To the best of our knowledge, only E. singularis seems to have been screened for anti-inflammatory activity by Deghrigue et al. [63,64] who observed an inhibition of carrageenan-induced oedema in rats. In our experiment, two in vitro assays for this activity evaluation were used, the inhibition of albumin denaturation and the inhibition of soybean lipoxygenase. The latter is a well described essential enzyme responsible for the synthesis of inflammation mediators (leukotrienes) involved in several inflammatory processes [65]. Denaturation of proteins may be correlated with inflammation processes such as arthritis making the first assay a screening tool for anti-arthritic activity [66]. As discussed by Williams et al. [67], the major advantages of abovementioned assays is the removal of additional animal experiments, particularly when working with crude extracts or low amounts of samples to conduct the studies. Both assays are rarely employed in the studies of marine-derived extracts or compounds, but tested on marine sponge sample of Hyrtios erectus [68].
As summarized in Table 5, F2 exhibited the highest inhibitory potential against albumin denaturation (IC50 = 198.70 ± 28.77 µg/mL). On the other hand, at a concentration of 254.49 ± 49.17 µg/mL, F1 reduced the activity of lipoxygenase by 50% while OE displayed the highest IC50 value (812.19 ± 85.99 µg/mL). Further, F4 did not cause 50% of inhibition in either of the assays. However, the IC50 values of both F2 and F1 in terms of albumin denaturation and lipoxygenase inhibition, respectively were still higher than of indomethacin which anti-inflammatory activity is consistent with previous results obtained by Bouhlali et al. [69] and Sircar et al. [70].
Table 5.
Sample | IC50 (µg/mL) | |
---|---|---|
Inhibition of Albumin Denaturation | Inhibition of Soybean Lipoxygenase | |
OE | 319.61 ± 7.85 | 812.19 ± 85.89 |
F1 | 331.65 ± 28.30 | 254.49 ± 49.17 |
F2 | 198.70 ± 28.77 | 364.35 ± 23.42 |
F3 | 458.83 ± 27.99 | 370.49 ± 17.02 |
F4 | >500 | >1000 |
Indomethacin | 90.33 ± 9.50 | 34.57 ± 9.12 |
Values are expressed as mean value ± standard deviation of triplicate measurement.
The observed anti-inflammatory activity for the samples of E. cavolini may be attributed to the presence of steroids and terpenoids which were extensively reviewed for such activity [5,71,72,73,74]. Eunicellin-type diterpenoids demonstrated the ability of inhibition of inducible nitric oxide synthase (iNOS) and cyclooxygenase (COX-2) proteins in macrophages after stimulation by lipopolysaccharide (LPS) [73]. Furthermore, alkaloids of marine origin which exhibited anti-inflammatory activity have just recently been discussed by Souza et al. [74]. In addition, it was assumed that due to lipophilicity, fraction F1 may contain less polar compounds (fatty acids) which might be present in E. cavolini samples as obtained by GNPS online platform and which could compete and inhibit the same active site as a substrate, linoleic acid [75].
2.4. Evaluation of Antiproliferative Activity
Many studies regarding the biological activities of marine natural compounds produced by cnidarians were conducted in the field of cancer research [5]. Indeed, according to Rocha et al. [5], more than 40% of isolated bioactives were found to possess potential antitumor activity. In accordance with this observation, antiproliferative and antitumor activities of extracts and pure compounds of Eunicella species were the major subjects of numerous studies [29].
Accordingly, the antiproliferative effects of E. cavolini extracts was determined by means of colorimetric MTT assay against four human tumour cell lines (colorectal, pancreatic and breast adenocarcinoma and hepatocellular carcinoma) and one non-transformed line (human fibroblasts). The data, summarized in Table 6, indicate moderate to high inhibitory activity which was generally non-selective towards specific tested cell lines. Fractions F2 and F3 exhibited the highest activity against SW620, CFPAC-1, MCF-7 and HepG2 cells with IC50 values: 0.82 ± 0.14, 5.61 ± 2.11, 5.21 ± 1.03 and 2.58 ± 0.57 µg/mL, respectively for F2. The activity of F2 against SW620 cells was comparable to 5-fluorouracil (5-FU) while the determined IC50 value against HepG2 was lower than the standard drug. Moreover, 5-FU displayed higher activity towards the remaining cell lines. At concentrations of 5.73 ± 2.97, 7.93 ± 0.12, 14.63 ± 9.41 and 6.48 ± 1.91 µg/mL, F3 inhibited 50% growth of tested tumour cell lines, respectively. Further on, F1 was the least active against SW620 and HepG2 cells when compared to the rest of tested samples. Large deviations in some cases could be attributed to the low level of cell cycle synchronization, which is associated with the possibility that cell cycle phase has an effect on the sensitivity of cancer cells to the test compound or extracts [76].
Table 6.
Sample | IC50 (µg/mL) | ||||
---|---|---|---|---|---|
SW620 | CFPAC-1 | MCF-7 | HepG2 | HFF-1 | |
OE | 13.14 ± 5.02 | 22.69 ± 4.14 | 36.20 ± 3.87 | 30.11 ± 1.44 | 6.48 ± 0.12 |
F1 | 158.78 ± 86.47 | 73.03 ± 14.63 | 67.01 ± 5.42 | 231.18 ± 46.13 | 207.80 ± 21.60 |
F2 | 0.82 ± 0.14 | 5.61 ± 2.11 | 5.21 ± 1.03 | 2.58 ± 0.57 | 0.39 ± 0.03 |
F3 | 5.73 ± 2.97 | 7.93 ± 0.12 | 14.63 ± 9.41 | 6.48 ± 1.91 | 6.95 ± 1.96 |
F4 | 18.76 ± 2.61 | 48.80 ± 1.12 | 42.76 ± 5.96 | 37.66 ± 3.47 | 9.97 ± 1.55 |
5-FU | 0.83 ± 0.03 | 0.84 ± 0.09 | 0.01 ± 0.001 | 7.18 ± 1.95 | 0.12 ± 0.02 * |
* Results obtained on lung fibroblast WI38. Values are expressed as mean value ± standard deviation of triplicate measurement.
For the first time, the effect of extract and semi-purified fractions on normal, non-transformed human cell line HFF-1 was examined. In that case, all samples, except F1, strongly inhibited the proliferation of non-transformed cells (HFF-1) at a concentration less than 10 µg/mL. Furthermore, a selectivity index (SI) was determined emphasizing that an SI < 2 points to general toxic effect (Table 7) [77,78].
Table 7.
Sample | SI | |||
---|---|---|---|---|
SW620 | CFPAC-1 | MCF-7 | HepG2 | |
OE | 0.49 | 0.29 | 0.18 | 0.22 |
F1 | 1.3 | 2.85 | 3.10 | 0.90 |
F2 | 0.48 | 0.07 | 0.07 | 0.15 |
F3 | 1.21 | 0.88 | 0.48 | 1.07 |
F4 | 0.53 | 0.20 | 0.23 | 0.26 |
5-FU | 0.14 | 0.14 | 12 | 0.02 |
Calculated SI was about or less than 1 for OE, F2, F3 and F4, while the highest for F1 against CFPAC-1 (2.85) and MCF-7 (3.10) cells (Table 7). Therefore, F1 was more selective towards CFPAC-1 and MCF-7, although it also showed moderate activity against normal cells. Finally, 5-FU showed 4 times greater selectivity towards MCF-7 cells in regard to F1.
As hypothesized by Mancini et al. [40], diterpenoids might influence the selectivity in inhibition of cancer cells. The most pronounced antiproliferative effects attributed to F2 and F3 can be explained by the presence of sterols and terpenoids, that were already extracted from Eunicella corals and assayed against various cancer cell lines [29,33,34,35]. However, since this class of compounds were found in other fractions and organic extract, it remains to be determined whether the amount of each individual class of compounds present in a particular sample contributes to the observed differences in antiproliferative activity. Since F3 demonstrated the highest radical-scavenging and antiproliferative activity, associated with the highest carotene content, we assume that those chemicals might contribute to observed effect as well, taking into consideration known anticancer effect of carotenoids isolated from seaweeds [79]. The assumption on antiproliferative activity associated with antioxidant potential was also reported by Deghrigue et al. [57].
2.5. Evaluation of Antibacterial Activity
To date, many studies have been reported regarding antimicrobial activity of gorgonian corals’ extract or pure compounds [80,81,82,83,84,85]. The antibacterial activity was evaluated by broth microdilution assay against three human pathogens: Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus. The results demonstrated partial selective inhibition of tested bacterial species, as summarized in Table 8 with the highest activity against S. aureus. The same strain was also inhibited by epidioxysterol which can be found in Eunicella species as published by Liang et al. [86]. Both, F2 and F3 displayed comparable EC50 values against S. aureus, being 175 ± 27 and 171 ± 68 µg/mL, respectively. The growth of E. coli was inhibited the most by F2 (255 ± 199 µg/mL). Interestingly, only F1 fraction exhibited EC50 value of 523 ± 48 µg/mL after incubation with P. aeruginosa, making it the least susceptible to the tested samples of E. cavolini. Importantly, the organic extract OE and fractions F1–F4 of E. cavolini had lower antibacterial activity comparing to the positive control, chloramphenicol, which EC50 values were measured as 0.75 ± 0.09 and 1.50 ± 0.10 µg/mL against E. coli and S. aureus, respectively. Since inhibition of growth by F1 is relatively similar for all three bacterial species, it could indicate for instance, the presence of substances that are active on both Gram negative and Gram positive species (though not in a sufficient quantity to produce complete inhibition) or there is an interaction between some compounds that exert such an effect, yet missing in other fractions. Further bioassay-guided fractionations and retesting will hopefully provide clues to this effect. Importantly, the relatively large standard deviation might arise from of large variability at higher concentrations of all samples. Another explanation might lie in possible interactions within samples (synergisms and antagonisms) or in different effects (stimulation or inhibition) of various compounds presented in the sample without any interaction of the two.
Table 8.
Sample | EC50 (µg/mL) | ||
---|---|---|---|
Escherichia coli | Pseudomonas aeruginosa | Staphylococcus aureus | |
OE | >1000 | >1000 | 514 ± 114 |
F1 | 422 ± 87 | 523 ± 42 | 417 ± 46 |
F2 | 255 ± 176 | >1000 | 175 ± 25 |
F3 | 389 ± 135 | >1000 | 171 ± 60 |
F4 | 797 ± 176 | >1000 | >1000 |
Chloramphenicol | 0.75 ± 0.09 | - * | 1.50 ± 0.10 |
Values are expressed as mean value ± standard deviation of triplicate measurement. * Chloramphenicol is not effective against P. aeruginosa.
Please note that E. coli and S. aureus in our assays had minimum inhibitory concentrations (MIC) of 4 and 8 μg/mL for chloramphenicol, respectively, and are used as quality controls of the assays as per Clinical & Laboratory Standards Institute (CLSI) guidelines for the assessment of validity of the results obtained. Only fractions F2 and F3 have provided us with MIC values at the highest tested concentration of 2500 µg/mL (w/v) which was only observed with S. aureus and not the other two bacterial species. Therefore, given results could indicate the potential antibacterial activity.
Partial inhibition of our samples agrees with the hypothesis made by Jensen et al. [83]. The authors assumed that lower activity can be explained by both, structure of bacteria and existence of symbiotic communities. Bacterial community plays an important role in coral functioning, providing nitrogen fixation, food supply and antibiotic production. For that matter, bacteria of the genus Endozoicomonas are the most abundant in symbiotic association with E. cavolini [87]. Considering mortality events and temperature rise, Bally and Garrabou [88] isolated a Vibrio coralliilyticus strain from diseased specimens of the red gorgonian, Paramuricea clavata, indicating the importance of pathogenic bacteria, as well. Finally, some bacteria have been related to fouling processes which eventually leads to colonial death [89]. Therefore, it could be concluded that corals maintain balance in inhibiting pathogen bacteria and producing compounds of lower activity against beneficial bacteria.
On the other hand, our bacterial panel consisted only of human pathogenic bacteria, none of which is considered a marine species. A study of microbial regulation in Caribbean gorgonian corals reported the antimicrobial activity of ethanol extracts being significantly higher against non-marine than marine bacteria and also significantly higher against Gram positive than Gram negative bacteria [90]. The latter was also observed in our study since Gram positive S. aureus was more affected by E. cavolini samples, however we cannot fully claim that Gram positive bacteria are more sensitive to the inhibitory activity of the samples due to a limited bacterial panel used in our experiment. Therefore, in order to fully prove and elucidate these associations, further investigation is required including also marine bacteria.
Finally, the highest activity of F3 and F2 is consistent with the correlation between antioxidant and antimicrobial activities which were reviewed by Shannon et al. [91], emphasizing carotenoids and polyphenols as antibacterial metabolites and their potential action of mechanism [92].
In summary, the herein tested extracts and semi-purified fractions of the Adriatic Sea gorgonian, E. cavolini exhibited interesting biological activities (Figure 1) with differences among them that may arise from divergence in concentrations and type of extracted bioactive secondary metabolites. Furthermore, the variation of biological activities of Eunicella species reported herein and those available in the literature might be attributed to the different geographic location of sampling and sampling season [93], as well as the presence or absence of certain microorganisms such as zooxanthellae or bacteria [22]. The latter hypothesis is consistent with increasing evidence of microorganisms being producers of the metabolites isolated from coral animals [5,56]. Therefore, a metagenomic procedure [94] needs to be performed in order to certainly conclude whether all metabolites mentioned above and, consequently, responsible for observed biological activities are being synthesized by only coral or coral-associated symbiotic microorganisms [87]. Metagenomic analysis is accordingly underway and will eventually provide new insights into bioprospecting of E. cavolini accompanied with bioassay-guided comprehensive fractionation of obtained organic extracts.
3. Materials and Methods
3.1. Materials
Acetic anhydride, acetic acid, sulphuric acid (96%), iron(III) chloride, potassium iodide and mercury(II) chloride were purchased from Kemika (Zagreb, Croatia). Methanol, dichloromethane, ethyl acetate, cyclohexane and potassium peroxodisulphate were obtained from VWR Chemicals (Radnor, PA, USA) while chloroform was obtained from Honeywell (Charlotte, NC, USA). ABTS and linoleic acid were purchased from Alfa Aesar (Kandel, Germany). Trolox® was obtained from Acros Organics (Geel, Belgium). DPPH, β-carotene and lipoxidase type I-B from soybean were purchased from Sigma-Aldrich (Darmstadt, Germany). Finally, Dulbecco’s modified Eagle medium (DMEM), foetal bovine serum (FBS), L-glutamine, penicillin and streptomycin were obtained from Capricorn Scientific (Ebsdorfergrund, Germany).
3.2. Collection and Extraction of Animal Material
The yellow gorgonian, Eunicella cavolini, was collected from the Adriatic Sea, near the Island of Pag (Paška vrata) in May 2018 at a depth between 20 and 30 m and kept at −80 °C. Fresh organism was washed, dried, weighed, cut into small pieces and macerated for 24 h at room temperature by using dichloromethane and methanol (3:1, v/v, 3 L) to obtain 6.81 g (1.38%) of dark red-orange oily organic extract OE after evaporation of solvent under reduced pressure at 40 °C, while the light yellow aqueous layer (pH = 8.20) was discarded leaving the organic part. The organic extract OE was further purified by gravity column chromatography on silica gel to afford 4 semi-purified fractions by using different solvent systems as the mobile phase of increased polarity: c-hexane/ethyl acetate (3:1, v/v, F1), c-hexane/ethyl acetate (1:1, v/v, F2), ethyl acetate (F3) and ethyl acetate/methanol (4:1, v/v, F4). Samples of OE and F1–F4 were concentrated, documented by mass spectrometry and NMR, freeze-dried and kept at −20 °C for further biological and chemical analyses.
3.3. Qualitative Chemical Screening
The presence of secondary bioactive metabolites in both, the extract and fractions was evaluated by specific colorimetric tests: phenolic compounds (ferric chloride test), terpenoids (Salkowski test), alkaloids (Mayer’s test), glycosides (Keller-Killiani test), steroids (Libermann-Burchard’s test) and saponins (froth test) according to Edeoga et al., followed by minor modifications [95]. All standard solutions were prepared by dissolving dried extracts or semi-purified fractions in methanol at a concentration of 2 mg/mL.
-
(a)
Test for terpenoids (Salkowski test):
Standard solution (2 mL) was mixed with chloroform (2 mL) in a test tube. This was followed by the addition of concentrated H2SO4 (2 mL, 96% aq), dropwise along the side of test tube to form a layer. The formation of red-brown coloration of the interface indicates the presence of terpenoids.
-
(b)
Test for saponins (froth test):
Standard solution (2 mL) was diluted with deionized water (2 mL) and vigorously shaken for few minutes. A formation of stable foam on the top of the mixture indicates the presence of saponins.
-
(c)
Test for sterols (Liebermann-Burchard’s test):
Standard solution (1 mL) was diluted by acetic acid anhydride (2 mL) and chloroform (1 mL) were added. Few drops of concentrated H2SO4 were then added dropwise along the side of test tube. The color change from violet to blue or green indicates the presence of sterols.
-
(d)
Test for alkaloids (Mayer’s test):
Standard solution (2 mL) was mixed with of Mayer’s reagent (2 mL) which was prepared by dissolving of mercury(II) chloride (1.36 g, 5.01 mmol) and potassium iodide (5 g, 30.12 mmol) in deionized water (100 mL). Formation of color cream precipitate indicates the presence of alkaloids.
-
(e)
Test for phenols (Folin-Ciocalteu’s test):
Standard solution (100 µL) was mixed with Na2CO3 (2 mL, 2% aq) and left for few minutes at room temperature which was followed by the addition of Folin-Ciocalteu’s reagent (100 µL, 50% aq). The mixture was incubated for 30 min at room temperature in the dark and observed for appearance of blue color which indicates the presence of phenols.
-
(f)
Test for glycosides (Keller-Killiani test):
Standard solution (2 mL) was treated with glacial acetic acid (2 mL) which contained FeCl3 (2 drops, 5% aq). This was followed by the addition of conc. H2SO4 (400 µL), dropwise along the side of test tube. Formation of red-brown ring of the interface indicates the presence of glycosides with a violet ring which may also appear below the brown ring.
3.4. Total Phenolic Content and Total Carotene Content
-
(a)
Total phenolic content (TPC)
TPCs of OE and F1–F4 fractions were estimated by the method of Taga et al. [96] 100 µL of sample extract was mixed with Na2CO3 (2 mL, 2% aq) and left for few minutes at room temperature which was followed by the addition of Folin-Ciocalteu’s reagent (100 µL, 50% aq). The mixture was incubated for 30 min at room temperature in the dark and the absorbance of solution was measured at 720 nm. A calibration curve of gallic acid (GA) was obtained for concentration range: 1000–62.5 µg/mL and the total phenolic content was calculated using formula:
TPC = (c × V)/m, | (1) |
where TPC is total phenolic content expressed as mg of GA/g of sample, c is concentration of gallic acid obtained from calibration curve, V is volume of sample and m is the mass of sample.
-
(b)
Total carotene content (TCC)
Total tetraterpenoid (carotene) content (TCC) was estimated by colorimetric assay following the procedure of Ghorai et al. [97], similarly as Salkowski test described above (Section 3.3a). In brief, methanolic solution (200 µL) of OE and F1–F4 was mixed with chloroform (1.5 mL) in a test tube. Samples were mixed thoroughly which was followed by addition of conc. H2SO4 (100 µL) and incubation period of 30 min for red-brown coloration of the interface to appear. Supernatant liquid was then removed, carefully, without disturbing the colored ring. Eventually, methanol (100 µL) was added to dilute the coloration and the samples were transferred to the 96-well plate to read the absorbance at 538 nm. A solution of β-carotene in methanol (concentration range: 1000, 500, 250, 125 and 62.5 µg/mL) was used to prepare a calibration curve, however, the incubation time lasted for 5 min. Finally, total carotene content was calculated using the same formula as for TPC (2.5a).
3.5. MS/MS Molecular Networking
A molecular network was created using the online workflow (https://ccms-ucsd.github.io/GNPSDocumentation/) on the GNPS website (http://gnps.ucsd.edu) [98] and MS/MS data which experimental setup is provided in Supplementary. The data was filtered by removing all MS/MS fragment ions within +/− 17 Da of the precursor m/z. MS/MS spectra were window filtered by choosing only the top 6 fragment ions in the +/− 50Da window throughout the spectrum. The precursor ion mass tolerance was set to 2.0 Da and a MS/MS fragment ion tolerance of 0.9 Da. A network was then created where edges were filtered to have a cosine score above 0.8 and more than 6 matched peaks. Further, edges between two nodes were kept in the network if and only if each of the nodes appeared in each other’s respective top 10 most similar nodes. Finally, the maximum size of a molecular family was set to 0, and the lowest scoring edges were removed from molecular families until the molecular family size was below this threshold. The spectra in the network were then searched against 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 0.8 and at least 8 matched peaks.
3.6. Assessment of Antioxidant Activity
-
(a)
DPPH radical-scavenging activity:
The in vitro antioxidant activities of OE and F1–F4 were evaluated by a (2,2-diphenyl-1-picrylhydrazyl) (DPPH)-radical assay according to protocol described by Kim et al. after minor modifications [99]. Briefly, methanolic solution (100 µL) of OE and F1–F4 of various concentrations (final concentrations: 1000, 500, 250, 125 and 62.5 µg/mL) was mixed with DPPH (100 µL, final concentration: 0.01 mM) in a 96-well plate. The plate was incubated for 30 min in the dark and the absorbance was read at 550 nm against the blank (methanol) using microplate reader. The same amount of methanol in DPPH solution was used as a negative control. Trolox (6-hydroxy-2,5,7,8-tetramethylchroman-2-carboxylic acid) at the same concentration range as E. cavolini samples, mentioned above, was used as a standard. The radical scavenging activity was expressed as percentage inhibition of DPPH and calculated according to the formula:
% inhibition = 100 × (1 − AS/AC) | (2) |
where AC and AS stand for the absorbances of the control and sample, respectively. The concentration resulting in 50% inhibition of DPPH radical (IC50) was determined from the graph which presents the inhibition percentage plotted against the concentration of the samples. All measurements were performed in three independent experiments.
-
(b)
ABTS radical-scavenging activity:
The in vitro antioxidant activity of the OE and F1–F4 fractions was also investigated by a 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid diammonium salt (ABTS)-radical assay according to study performed by Zheleva-Dimitrova et al. [100] with some minor modifications. Firstly, the ABTS radical was prepared by mixing of the equimolar amount of ABTS solution (7 mM) and potassium persulfate solution (2.4 mM) which was incubated in the dark overnight at room temperature. The obtained solution was diluted with methanol and the absorbance at 734 nm was measured as 0.700. The solutions of samples (100 µL) were prepared in methanol (final concentration in range: 1000–62.5 µg/mL) and were then mixed with ABTS-solution (100 µL) in a 96-well plate. The plate was incubated for 5 min in the dark and the absorbance was measured at 734 nm against the blank (methanol) using microplate reader. The ABTS-solution diluted by the same amount of methanol (100 µL) was used as a negative control. Radical scavenging activity was calculated according to the formula mentioned for DPPH assay (vide supra). Antioxidant activity of E. cavolini samples was compared to Trolox at the same concentration range which was used as a positive control. IC50 value, which denotes the concentration resulting in 50% inhibition of ABTS radical was determined from the graph which presents the inhibition percentage plotted against the concentration of the samples. All measurements were performed in three independent experiments.
3.7. Assessment of In Vitro Anti-Inflammatory Activity
-
(a)
Inhibition of albumin denaturation
The inhibitory activity of OE and F1–F4 against albumin denaturation was tested by the method described by Williams et al. [67] with modifications of volume followed after optimization procedures. A reaction vessel consisted of 500 µL of bovine serum albumin (1% in PBS, pH 6.4) and the same amount of tested sample with final concentration range: 500, 250, 125, 62.5 and 31.3 µg/mL). Deionized water (500 µL) instead of tested samples was used as a negative control which indicates 100% of denaturation. The mixtures were incubated at 37 °C for 15 min after which heating at 90 °C for 3 min followed in order to cause albumin denaturation. After cooling, the turbidity of the samples was measured at 660 nm. The percentage of albumin denaturation inhibition was calculated following the formula:
% inhibition = 100 × (1 − AS/AC) | (3) |
where AC and AS stand for the absorbances of the control and sample, respectively. The concentration resulting in 50% inhibition of albumin denaturation (IC50) was determined from the graph which presents the inhibition percentage plotted against the concentration of the samples. Indomethacin was used in the same concentration range as mentioned above as a positive control and for comparison.
-
(b)
Inhibition of soybean lipoxygenase (sLOX)
The inhibitory activity of methanolic samples of OE and F1–F4 against sLOX was investigated using linoleic acid as a substrate, applying the protocol by Oso et al. with modification regarding the final volume of each component [101]. In short, the sample (50 µL, concentration range: 1000, 500, 250, 125 and 62.5 µg/mL) was mixed with PBS (50 µL, pH = 8.52). Addition of sLOX (30 µL, final concentration units: 1300 U/mL) enzyme solution followed with incubation time of 5 min at 35 °C. Afterwards, 100 µL of linoleic acid (0.26 mM) was added and mixed gently for 10 min at the same temperature. For negative control, PBS (50 µL) instead of samples was added, indicating 100% of sLOX activity. The absorbance was read at 234 nm. The percentage of lipoxygenase inhibition was calculated following the formula:
% inhibition = 100 × (1 − AS/AC) | (4) |
where AC and AS stand for the absorbances of the control and sample, respectively. The concentration resulting in 50% inhibition of sLOX activity (IC50) was determined from the graph which presents the inhibition percentage plotted against the concentration of the samples. Indomethacin was used as a positive control and for comparison (final concentration range: 250, 125, 62.5, 31.3 and 15.6 µg/mL).
3.8. Evaluation of In Vitro Antiproliferative Effect
The human carcinoma cell lines colorectal adenocarcinoma (SW620), ductal pancreatic adenocarcinoma, metastatic breast cancer (MCF7), hepatocellular carcinoma as well as normal skin fibroblasts (HFF) obtained from the American Type Culture Collection (ATCC, Manassas, VA, USA), were cultured in Dulbecco’s modified Eagle medium (DMEM) supplemented with foetal bovine serum (FBS, 10% aq.), L-glutamine (2 mM), penicillin (100 U/mL) and streptomycin (100 µg/mL) in a humidified atmosphere with 5% CO2 at 37 °C in humidified atmosphere. Lyophilized extracts were then dissolved in growth medium containing 10% DMSO and further dissolved using vortexing and ultrasonic bath, 30 min at 37 °C. Carcinoma cell lines and normal human fibroblasts were seeded in 96 well plates at density of 3000 cells per well or 5000 cells per well, respectively according to the doubling time of transformed vs. normal cells lines. Prior to the experiment, test extracts were diluted in, five, 10-fold dilutions in growth medium ranging from 10−4 to 1 mg/mL. Cells were incubated with test extracts for 72 h while 5-fluorouracil (5-FU) was used as a positive control. Cell growth rate was evaluated using MTT assay according to the manufacturer’s guidelines. Using the formulas proposed by the National Institutes of Health (NIH, Bethesda, MD, USA), the percentage of cell growth was calculated by transforming the experimentally determined absorbance values [102]. Concentrations of extracts needed to inhibit 50% of cell growth (IC50 values) were calculated from dose response curves using linear regression analysis. The selectivity index (SI), as a measure of cytotoxic selectivity of E. cavolini extract and fractions against cancer cell lines, was calculated according to the following formula [78]:
SI = IC50 (non-transformed cell line)/IC50(cancer cell line) | (5) |
3.9. Evaluation of Antibacterial Activity
The antibacterial activity of extracts and semi-purified fractions was evaluated by broth microdilution assay according to the Clinical & Laboratory Standards Institute guidelines [103] using Escherichia coli NCTC 12241, Staphylococcus aureus ATCC 6538, and Pseudomonas aeruginosa NCTC 12903 as indicator strains. All assays employed positive (inoculated media without the tested sample) and negative (sterile media) controls and a quality control using chloramphenicol. All assays were performed in duplicates at 35 °C aerobically. The concentration range tested was 5–2000 μg/mL (w/v) for OE, F2–F4 and 2–1000 μg/mL (w/v) for F1. Results were interpreted both visually and spectrophotometrically at wavelength of 600 nm using microplate reader, and minimal inhibitory concentrations, if observed, were confirmed by culture isolation from the wells. Dose response curve analyses were performed in RStudio v.1.1.463 environment for R software (R Core Team (2018). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.) using drc package [104]. Effective concentration 50% (EC50), a concentration resulting in 50% inhibition of bacterial growth, estimated from log-logistic three parameter dose response models, was used as a comparative feature of relative potency of the tested samples.
4. Conclusions
The presented research aimed to analyze chemical properties of extracts and semi-purified fractions of Eunicella cavolini collected in the Adriatic Sea, as well as their corresponding potential to exhibit antiproliferative, antioxidant, anti-inflammatory and antibacterial activities. Obtained in vitro data showed that the purification of organic extract resulted in fractions with higher biological activities. In particular, F2 and F3 were found to be more active against tested cancer cell lines (MCF-7, CFPAC-1, HepG2 and SW620) and Staphylococcus aureus, which might be correlated with observed potential of radical-scavenging activity and chemicals detected in these samples. Furthermore, the F1 fraction was observed to be a possible inhibitor of lipoxygenase. Our results indicate a diversity of extract/fractions in the type of compounds that may have a synergistic or antagonistic effect. Eunicella cavolini extract/fractions may be regarded as a promising source of antiproliferative, antibacterial and anti-inflammatory agents that could be further explored or chemically modified to obtain higher biological activities. The expansion of this study is already on the way and focused on individual identification of extracted secondary metabolites responsible for herein presented results.
Supplementary Materials
The HRMS and MS/MS were performed with different samples which spectra are available online. Figures S1–S5: HRMS spectra of OE, F1–F4, respectively. Figures S6–S20: MS/MS match between GNPS database (green) and Eunicella cavolini sample (black) for compounds 1–14 from Table 3, respectively.
Author Contributions
D.M. (Dean Marković) and D.M. (Dario Matulja) designed and performed extraction, purification and preparation of samples for the biological activities. S.K.P. and D.M. (Dario Matulja) designed and analyzed biological assays (antioxidant, anti-inflammatory assays) and K.B. and N.T.-P. performed antimicrobial assays; S.K.P. and P.G. designed and analyzed antiproliferative assays; S.L. performed mass spectrometry of the samples while T.Š. and O.J. performed tentative dereplication by GNPS online platform; S.K.P., K.B., D.M. (Dario Matulja), P.G. and D.M. (Dean Marković) participated in literature search, critical discussion of results, presentation of data, and performed final write-up; all authors performed critical revision of the manuscript; R.Č.-R., S.K.P. and D.M. (Dean Marković) secured project funding, and supervised the project activities, S.K.P. is project leader in front of University of Rijeka and R.Č.-R. is project leader in front of Ruđer Bošković Institute and the project leader of The Scientific Centre of Excellence for Marine Bioprospecting – BioProCro and of the research project Bioprospecting of the Adriatic Sea. All authors have read and agreed to the published version of the manuscript.
Funding
We would like to thank Croatian Government and the European Union (European Regional Development Fund—the Competitiveness and Cohesion Operational Program—KK.01.1.1.01) for funding this research through project Bioprospecting of the Adriatic Sea (KK.01.1.1.01.0002) granted to The Scientific Centre of Excellence for Marine Bioprospecting—BioProCro. We also acknowledge the project “Research Infrastructure for Campus-based Laboratories at University of Rijeka”, co-financed by European Regional Development Fund (ERDF) and the University of Rijeka research grants UNIRI-prirod-18-102 and UNIRI-biomed-18-133. We would like to thank Croatian Science Foundation project ‘Career Development of Young Researchers-Training of New PhDs’ for funding PhD of D. Matulja and research project IP-2019-04-8846. We also acknowledge Donat Petricioli for the E. cavolini collection.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data are available from the corresponding authors upon reasonable request.
Conflicts of Interest
The authors declare no conflict of interest.
Sample Availability
Samples are available from the corresponding authors for a limited period.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Data Availability Statement
The data are available from the corresponding authors upon reasonable request.