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Article

Proteomic Analyses of the Unexplored Sea Anemone Bunodactis verrucosa

by
Dany Domínguez-Pérez
1,2,†,
Alexandre Campos
1,2,†,
Armando Alexei Rodríguez
3,
Maria V. Turkina
4,
Tiago Ribeiro
1,
Hugo Osorio
5,6,7,
Vítor Vasconcelos
1,2 and
Agostinho Antunes
1,2,*
1
CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos, s/n, 4450-208 Porto, Portugal
2
Biology Department, Faculty of Sciences, University of Porto, Rua do Campo Alegre, s/n, 4169-007 Porto, Portugal
3
Department of Experimental and Clinical Peptide Chemistry, Hanover Medical School (MHH), Feodor-Lynen-Straße 31, D-30625 Hannover, Germany
4
Division of Cell Biology, Department of Clinical and Experimental Medicine, Linköping University, SE-581 85 Linköping, Sweden
5
Instituto de Investigação e Inovação em Saúde- i3S, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135 Porto, Portugal
6
Ipatimup, Institute of Molecular Pathology and Immunology of the University of Porto, Rua Júlio Amaral de Carvalho, 45, 4200-135 Porto, Portugal
7
Department of Pathology and Oncology, Faculty of Medicine, University of Porto, Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Mar. Drugs 2018, 16(2), 42; https://doi.org/10.3390/md16020042
Submission received: 21 November 2017 / Revised: 14 December 2017 / Accepted: 15 January 2018 / Published: 24 January 2018
(This article belongs to the Special Issue Jellyfish and Polyps: Cnidarians as Sustainable Resources for Biotechnological Applications and Bioprospecting)
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Versions Notes

Abstract

:
Cnidarian toxic products, particularly peptide toxins, constitute a promising target for biomedicine research. Indeed, cnidarians are considered as the largest phylum of generally toxic animals. However, research on peptides and toxins of sea anemones is still limited. Moreover, most of the toxins from sea anemones have been discovered by classical purification approaches. Recently, high-throughput methodologies have been used for this purpose but in other Phyla. Hence, the present work was focused on the proteomic analyses of whole-body extract from the unexplored sea anemone Bunodactis verrucosa. The proteomic analyses applied were based on two methods: two-dimensional gel electrophoresis combined with MALDI-TOF/TOF and shotgun proteomic approach. In total, 413 proteins were identified, but only eight proteins were identified from gel-based analyses. Such proteins are mainly involved in basal metabolism and biosynthesis of antibiotics as the most relevant pathways. In addition, some putative toxins including metalloproteinases and neurotoxins were also identified. These findings reinforce the significance of the production of antimicrobial compounds and toxins by sea anemones, which play a significant role in defense and feeding. In general, the present study provides the first proteome map of the sea anemone B. verrucosa stablishing a reference for future studies in the discovery of new compounds.

1. Introduction

Cnidarians represent the largest source of bioactive compounds, as candidates for pharmacological tools [1] and even new drugs for therapeutic treatments [2,3,4]. Unlike toxin from terrestrial animals, cnidarian venoms have not received as much scientific attention [5]. Each one of the around 11,000 living species [6] possess nematocysts [7], which is the organ specialized in the production, discharge and inoculation of toxins [8]. Hence, the toxic feature can be theoretically ascribed to all the members of this Phylum, since nematocysts are the only ones of the three categories of cnidae found in all cnidarians [8]. However, without including components of the venom described at the transcriptomic level, only about 250 compounds have been reported until 2012 [9], although this figure has not increased significantly at the proteomic level in the last five years. The venom of cnidarians is composed mainly by peptides, proteins, enzymes, protease inhibitors and non-proteinaceous substances [9].
Most of the known toxins from cnidarians belong to the Order Actiniaria, Class Anthozoa (sea anemones) [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36]. Among sea anemones, around 200 non-redundant proteinaceus toxins have been recognized to date, including proteins and peptides [32,37]. In addition, another 69 new toxins were revealed by transcriptomic-based analyses, although an additional set of 627 candidates has been proposed comprising 15 putative neurotoxins [38] and 612 candidate toxin-like transcripts from other venomous taxa [39]. In general, peptide toxins from sea anemones can be classified as cytolysins, protease inhibitors or ion channel toxins (neurotoxins), mainly voltage-gated sodium (Nav) channel toxins and voltage-gated (Kv) potassium channel toxins [9,35,40,41,42]. Sea anemones are good candidates as a source of peptide/protein toxins, partly because their toxins are considerably stable compared to other cnidarian toxins (e.g., jellyfish). Only a limited number of sea anemones, however, have been examined for peptide/protein toxins [35], although more than 1000 species have been recorded [43]. Thus, sea anemones represent a relatively unexplored potential source of bioactive/therapeutic compounds.
The B. verrucosa is one of the most common species of sea anemones in the intertidal zone (Figure 1) of Portugal coast [44], yet its proteome, including peptide toxins, remains unexplored. The main goal of the present study was to establish a general proteomic analysis of whole-body extracts from the sea anemone B. verrucose; a species known to occur in the northeastern Atlantic Ocean, the North Sea and the Mediterranean Sea [45]. The specimens used in this study came from Portugal coast. The combination of shotgun analyses and two-dimensional gel electrophoresis yielded several proteins, including potential toxins. Until now, just a few chemical studies have been reported from this organism. In fact, to the best of our knowledge, this study provides the first proteomic profile of this species. Most of the proteins identified constitute first report for this species.

2. Results and Discussion

2.1. Two-Dimensional Gel Electrophoresis and MALDI-TOF/TOF Analyses

The gel-based proteome analysis revealed 61 and 36 spots from the soluble fraction (SF) and insoluble fraction (IF), respectively. From the spots analyzed by Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF/TOF), 23 peptide sequences belonging to eight proteins were identified in the SF, approximately 38% of the total analyzed (Figure 2, Table 1). Proteins identified in the SF comprised five different enzymes: Superoxide dismutase, Triosephosphate isomerase, Ribonuclease, two Fructose-bisphosphate aldolases and Alpha-enolase. In addition, Peroxiredoxin and two Ferritins were identified. However, three of these proteins matched to “predicted protein” as best hit, but were then further annotated using blastp algorithm in the NCBI with the accession number retrieved from the custom sea anemones databases. Unlike shotgun proteomics, for gel-based analysis were used only two sea anemones databases, since additional search was carried against UniProtKB/Swiss-Prot in the Metazoa section. However, best results corresponded to local analysis. On the other hand, no proteins were identified with statistic confidence from the IF (Figure S1) and in both cases SF and IF, the use of different database like UniProtKB/Swiss-Prot did not improved the identification. The details of blast search and protein identification by MALDI-TOF/TOF mass spectrometry of the protein identified from the 2DE is shown in Table 1. It is noteworthy, that some of the proteins identified have been previously reported in other cnidarians [46,47,48], but constitute the first report in B. verrucosa.
The identification rates obtained for SF are similar to those reported in previous studies of other marine species, when comparable proteomics protocols were used [49,50,51]. On the other hand, the absence of identifications in IF is an evidence that our proteomics protocol is likely not optimized for the analysis of the type of proteins present in this fraction. Since IF may be enriched with hydrophobic membrane proteins, the lack of identifications may be related, among other possible causes, to incomplete separation of proteins and to the inefficient digestion of these proteins with trypsin; thus, hindering the generation of a sufficient number of proteolytic peptide fragments for Mass Spectrometry/Mass Spectrometry (MS/MS) sequencing analysis. This limitation of trypsin when cleaving such proteins particularly in the hydrophobic and transmembrane domains can be overcome by combining the activities of other proteases [52,53].
The identified proteins seem to play important roles related with RNA degradation, glycolysis and antioxidant pathways. Moreover, some proteins like alpha aldolase seem to play diverse molecular and physiological roles. In fact, several antibacterial, antiparasitic, antifungical and autoantigen activities have been proposed [54]. Alpha aldolase expression and activity have been associated with the occurrence and metastasis of cancer, as well as with growth, development and reproduction of organisms [54]. Its expression seems to be related to heat shock [55], but it is also probably active under anaerobic condition [54]. In general, some of these proteins act as stress protein against environmental changes by exerting a protective effect on cells.
Ribonucleases, also known as RNases, are common and widely distributed catalytic proteins among animals, involved in the RNA degradation [56]. Three different RNases were detected: triosephosphate isomerase, Fructose-bisphosphate aldolase and Alpha-enolase, which are involved in the glycolytic pathway. Triosephosphate isomerase is a glycolytic enzyme that catalyzes the interconversion of the three-carbon sugars such as dihydroxyacetone phosphate and d-glyceraldehyde 3-phosphate [57]. Aldolases are stereochemistry-specific enzymes acting in a diverse variety of condensation and cleavage reactions [54]. Specifically, fructose-1,6-bisphosphate aldolase is involved in gluconeogenesis and glycolysis, controlling the production of fructose-1,6-bisphosphate from the condensation of dihydroxyacetone phosphate with glyceraldehyde-3-phosphate [58,59]; while Alpha-enolase is a versatile metalloenzyme, that catalyzes the conversion of 2-phosphoglyceric acid to phosphoenolpyruvic acid [54].
On the other hand, Ferritin is one of the most important proteins in iron metabolism, acting as primary iron storage protein or iron transporter, solubilizing iron and thus regulating its homeostasis [60,61]. Peroxiredoxin, also called thioredoxin peroxidase or alkyl hydroperoxide reductase, has been proposed as antioxidant protein [62,63,64]. Both proteins, seem to play an important role by protecting the cells against reactive oxygen species [65], so they are likely to be natural anti-Ultraviolet (UV) radiation agents [66]. Similarly, superoxide dismutase is another relevant antioxidant protein [65,67]. The high expression of this protein as part of the antioxidant defense system makes sense, since aerobic organisms need to deal with oxygen species produced as a consequence of aerobic respiration and substrate oxidation [67].

2.2. Protein Identification from Shotgun Proteomics Analysis

A methodology based on shotgun analysis was employed to investigate the whole-body proteome of B. verrucosa. This methodology has been previously reported as suitable for diverse purposes related to protein identification such as characterization of complex sample, inference of the main enzymatic pathway involved in a tissue, even to reveal venom composition [68,69,70,71]. Altogether, 688 peptide sequences were identified among the two replicates of the fractions analyzed (SF and IF), which accounted for 412 groups of non-redundant proteins (), retrieved from custom cnidarians databases. Of all protein detected, 97 were identified from two or more peptides. Only four proteins were detected as potential contaminants in the first search against custom database, while 69 sequences accounted for 35 putative proteins as contaminants against UniProtKB/Swiss-Prot database (Table S2). Of such contaminants, 10 proteins were identified from two or more peptides and were related mostly to human keratin and trypsin. In the case of contaminants, proteolytic fragments from trypsin and keratin were the most commonly found, which are difficult to avoid and thus are ubiquitous in proteomic analysis [72]. The functional annotation of all proteins (except for contaminants) was further addressed.
The fact that several IF proteins were identified by this shotgun method shows the increased potential of this method over 2DE/MALDI-TOF/TOF for the analysis of membrane proteins, even when carried out based on the activity of a single protease (trypsin).
All proteins identified from the gel-based analysis were also found among those identified by the shotgun proteomic analysis. As an example, the shotgun analysis allowed the identification of Peroxiredoxin (XP_001640260.1, see Table 1) from two peptides sequences belonging to different organisms (Table S1): one peptide matched Peroxiredoxin-4 (KXJ19217.1) from E. pallida, and the second one Peroxiredoxin-4 (KXJ22794.1) from E. pallida and peroxiredoxin-like isoform X2 (XP_015769163.1) from A. digitifera. In the case of Peroxiredoxin-4 (KXJ22794.1), four peptides were identified for the protein and four for the protein groups (see razor + unique, terms_description in Table S1). However, only nine peptides generated by MALDI-TOF/TOF fragmentation from gel spots, were also detected within peptides resulting from the Orbitrap’s approach. Despite the smaller number of protein identified from 2DE gel, this methodology represented a complement for shotgun proteomics analysis, increasing the number of peptides for the reconstruction of each protein. In fact, in 2D-MALDI fingerprint approach the number of peptides matching some proteins such as superoxide dismutase (KXJ18609.1), alpha-enolase (XP_001632906.1), triosephosphate isomerase (XP_001633516.1) and both fructose-bisphosphate aldolase (XP_001629735.1; XP_001629735.1), were identified with higher confidence in gel-based analyses than in the shotgun methodology.

2.3. Protein Gene Ontology Annotation

The proteomics identification pipeline using the Maquant software and 4 sequence databases, retrieved mostly “predicted” protein products. Therefore, these sequences were further blasted and mapped using the Blast2Go software (version 2.4.4) [73], (Figure 3). From a total of the 412 proteins identified with Maxquant software, 408 were successfully mapped using the Blast2Go software (Figure 3). The remaining four proteins, which were not submitted to further analysis, corresponded to potential contaminants. Out of the total number of proteins analyzed (408), 149 proteins were successfully annotated, representing the 36.5%. Thus, 259 proteins remained without Gene Ontology (GO) annotation, of which only four proteins were blasted without hits, 36 were mapped and 219 yielded positive hits. In total, 223 proteins were not included into the GO annotation considering the level 2 of protein classification, likely due to the absent of similar protein sequences in the protein databases. Moreover, most of these proteins retrieved as hits from cnidarian databases were “predicted”. This result confirms the limited information known about sea anemones and cnidarians products.
Among the four databases analyzed, most hits corresponded to the species E. pallida, followed by N. vectensis (Figure 4), as expected according to its relative phylogenetic position [74], although E. pallida has the largest number of proteins among the databases used. Afterwards, the proteins identified as positive hits were functionally annotated per the GO nomenclature. Then, GO terms were assigned to each contig and annotated per GO Distribution by Level (2), regarding the three major GO categories: Biological Process (BP), Molecular Function (MF) and Cellular Components (CC).
The groups of proteins obtained from high-throughput analyses were classified per Blast2Go software, considering the GO Distribution by Level (2) (Figure 5). The most represented GO terms in the category of BP were metabolic process (GO:0008152), followed by cellular process (GO:0009987) and single-organism process (GO:0044699). In the case of MF, the most matched GO terms were binding (GO:0005488), catalytic activity (GO:0003824) and structural molecule activity (GO:0005198), in this order; whereas in the category of CC the most significant were cell part (GO:0044464), cell (GO:0005623) and organelle (GO:0043226). It is noteworthy that some proteins can be included in more than one GO term, since each protein could play diverse roles. Thus, some ambiguities can be found in the proteins reported for each category; and also, the total number of protein may apparently be overestimated. Details of GO annotation and protein accession number can be found on Figure S2 and Table S3.
Among the 111 proteins matching to the GO term BP, 85 proteins (76.56%) classified as metabolic process, 77 (69.37%) for cellular process and 44 (39.64%) as single-organism process. In this group, in the GO level 3, 64 proteins were related with the GO name of “primary metabolic process” and “organic substance metabolic process”, both belonging to “metabolic process” as parent. Besides, 52 proteins were associated with “cellular metabolic process”, which were involved in both metabolic process and cellular process as parents (for details of GO annotation see Figure S2, Table S3).
In total, 86 proteins were included in the category of the CC. Among them, 76 proteins (88.37%) matched for “cell part” and “cell”. However, this is an ambiguity, since all sequences detected as “cell part” are part of the “cell” category (Figure S2). Although, other proteins represented by the sublevels, related to cytoplasmic elements as part of intracellular components, were also subcategories of the “cell”. The GO “intracellular” was more represented with 73 proteins (84.88%) in level 3 than those “organelle” and “membrane” in the superior level 2, with 51 proteins (59.3%) and 33 proteins (38.37%), respectively.
In addition, 135 proteins were grouped into the MF category. Among them, “binding” with 99 proteins (73.3%) was the most significant one. In this group, a total of 66 (48.89%) proteins were involved in “ion binding”, whereas both “heterocyclic compound binding” and “organic cyclic compound binding” hit 62 proteins (45.93%). The second most significant GO term “catalytic activity” comprised 71 proteins (52.59%), of which the most remarkable function was “hydrolase activity”, accounting for 37 proteins (27,41%) acting mainly on acid anhydrides, in phosphorus-containing anhydrides. Moreover, 18 of these enzymes were involved in pyrophosphatase activity, of which 17 are associated with nucleoside-triphosphatase activity (Figure S2).

2.4. Top KEGG Pathways

On the other hand, the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed 28 enzymes involved in 41 different pathways. The accession number of the protein involved in each pathway and other details can be found in Table S4. Considering the number of proteins matched, the most relevant pathways were Purine and Thiamine metabolism, with 18 and 17 proteins matched, respectively (Table 2). In addition, three enzymes: adenylpyrophosphatase, phosphatase and RNA polymerase were found to be involved in the Purine metabolism pathway, whereas only a phosphatase resulted in the Thiamine metabolism. The Purine metabolism pathway is close related to the metabolism of nucleotide [75], since purine constitutes subunits of nucleic acids and precursors for the synthesis of nucleotide cofactors, whereas Thiamine metabolism pathway is fundamental in the metabolism of carbohydrates [76].
Interestingly, one of the most significant among the top twenty pathways was the biosynthesis of antibiotics. In that pathway, a total of 14 proteins, accounted for 13 enzymes grouped into five major families: dehydrogenase, transaminase, carboxykinase (GTP), hydratase, isomerase and aldolase. Most proteins matched in this pathway belong to the larval stage of N. vectensis. This result is particularly interesting, because of the abundance of proteins involved in defenses against pathogens, during the most vulnerable stage in the animal life cycle. Thus, this finding supports that sea anemones may be considered as a promising source of antibiotic compounds [77,78,79]. Other relevant pathways were glycolysis/gluconeogenesis and carbon fixation in photosynthetic organisms, both involved in the production of energy. The presence of proteins associated with carbon fixation in photosynthetic organisms is likely due to symbionts such as zooxanthellae, considering to be present in sea anemones [80,81].
The isomerase detected in the biosynthesis of antibiotics pathway, was the same to that identified in the gel-based analyses as triosephosphate isomerase from N. vectensis (XP_001633516.1). This one is also involved in other pathways such as glycolysis/gluconeogenesis, carbon fixation in photosynthetic organisms, fructose and mannose metabolism and inositol phosphate metabolism. The predicted protein (XP_001632906.1), homologue to alpha-enolase, and the fructose-bisphosphate aldolase (XP_001629735.1) from N. vectensis, were both involved in the pathways of biosynthesis of antibiotics and glycolysis/gluconeogenesis. In addition, the mentioned predicted protein was also found in the methane metabolism pathway, while the fructose-bisphosphate aldolase also occurred in some pathways such as carbon fixation in photosynthetic organisms, methane metabolism, pentose phosphate pathway and fructose and mannose metabolism. In general, these analyses support the diverse roles of some of the proteins identified, given additional information related to its biological function.

2.5. Detection of Potential Toxins

Among all peptides detected, 63 sequences matched for 58 potential toxins (Table S2), but only five toxins with more than one peptide (Table 3). Specifically, the five proteins matched as potential toxins were retrieved from different species other than cnidarians and each was reconstructed from two peptide sequences. Besides, these peptides were not redundant to those proteins reconstructed from the previous analyses with the four cnidarians database. In fact, the origin of such peptides by fragmentation of the protein matched as potential toxin (Table 3), which represents a better explanation for our results. Therefore, it is unlikely a false-positive assumption that the peptides were generated from proteins related to potential toxins.
The proteins identified as potential toxins comprise several previously reported toxins and other non-reported in cnidarians. Herein, we found two proteins related to metalloproteinases, one zinc metalloproteinase/disintegrin (VM2M2_DEIAC) of the snake Deinagkistrodon acutus [82] and another one called neprilysin-1 (NEP_TRILK) from brush-footed trapdoor spider Trittame loki [83]. Both proteins represent two of the three classes of metalloproteinases found in the hydra genome: astacin class, matrix metalloproteinase class, and neprilysin [84]. Metalloproteinases have been subsequently reported in hydra [85,86], jellyfish [9,87,88], but less in sea anemones [89]. Their structure and function seem relatively conserved among metazoans [87], since they can play a broad range of roles in biological process related to hydrolytic functions and development [84]. However, the peptides obtained matched specifically to proteins, which have been proposed as venom components [82,83]. In general, the most significant role of these protein (zinc metalloproteinase/disintegrin, neprilysin-1), must be related to its capacity of breakdown the extracellular matrix [84]. Moreover, this protein displays gelatinolytic and fibrinolytic activities, as previously reported from the venoms of four Scyphozoan jellyfishes [88].
Another protein detected matched to a phospholipase A2 (PLA2) called vurtoxin (PA2B_VIPRE) from the steppe viper Vipera renardi [90]. Phospholipases A2 are commonly found in the venom of the most toxic animals like cnidarians, cephalopods, insects, arachnids, and reptiles [91]. Specifically, vurtoxin showed homology with the neurotoxic PLA2 ammodytoxins [90]. However, it is not clear if this toxin can act as neurotoxin in this species, since vurtoxin occurred as a minor component in the venom of V. renardi [90]. In general, the biological role of PLA2s could be diverse. PLA2s can act in the arachidonic pathway or in the calcium-dependent hydrolysis of the 2-acyl groups in 3-sn-phosphoglycerides, showing a preference for phosphatidylglycerol over phosphatidylcholine [92,93]. This biological role prevails in cnidarians, showing a significant phylogenetic distance to higher metazoans PLA2s, been proposed as the ancestors [94]. On the other hand, the biological activity of PLA2s in reptiles has been revealed most as antiplatelet, myotoxic, and neurotoxic [93,95].
In addition, two putative neurotoxins named as alpha-latroinsectotoxin-Lt1a (LITA_LATTR) and SE-cephalotoxin (CTX_SEPES) were identified. The first one, also known as alpha-LIT, was purified from venom glands of the Mediterranean black widow spider Latrodectus mactans tredecimguttatus [87]. The proposed mechanism of toxicity involved presynaptic effects, acting selectively only for insects [87]. On the other hand, SE-cephalotoxin has been characterized from the salivary gland of cuttlefish Sepia esculenta [88]. The lethality of this toxin was very high to crab, seemingly by neurotoxic mechanism, since the symptoms caused loss of movement, flaccid paralysis and even death [88]. However, SE-cephalotoxin has been considered as a new class of proteinaceous toxin, due to the lack of homology with any other toxins, even those cephalotoxins from octuposes [88]. Therefore, the evidences of a potential SE-cephalotoxin from B. verrucosa, constitutes a highlighted finding as the first report of this toxin in sea anemones.
Furthermore, others 53 non-redundant peptide sequences matched to 53 potential toxins, but with only one peptide identified for each protein (Table S2). Of all, 21 peptides sequences matched to 21 potential neurotoxins comprising presynaptic and postsynaptic toxins like ion channel blockers, mostly voltage-dependent potassium and calcium channels. Among them was found a Kunitz-type serine protease inhibitor, which can act as inhibitor of both serine proteases and voltage-gated potassium channels (Kv) [89]. Besides, three metalloproteases, two hyalunoridases, and a Beta-fibrinogenase were detected. On the other hand, seven PLA2s and three PLAD occurred within potential toxins. Another potential toxin identified with PLA2s activity, was the Helofensin-1 characterized from the genus Heloderma [96,97]. This toxin has no hemorrhagic nor hemolytic activities, instead directly inhibited the electrical stimulation of the isolated hemi-diaphragm of mice [96]. Finally, four hemolitic/cytolytic proteins and five additional proteins involved in the coagulation pathway (including two “snaclec”) were found.

2.6. Putative Use of Toxins by B. verrucosa in Prey Catching and Feeding

Sea anemones are ancient active predators, belonging to what is considered “the oldest extant lineage of venomous animals” [98]. The B. verrucosa inhabits tidepools in rocks, crevices in shallow water [99], where occurs mussels, gastropods, small crabs, and goby fishes as potential preys. This sea anemone feeds on mussels and small gastropods at least, since we found specimens regurgitating one or more empty mussel shells, after removal from the substrate during sampling (Figure 6). Moreover, we found some specimens containing mussels’ shells and gastropods into the gastrovascular cavity. It is noteworthy that in the sampling area mussels were abundant covering rocks, even in the pools where sea anemones grow (Figure 1). Therefore, these bivalves may constitute the main food source for B. verrucosa. This is not an isolated fact, since mussels seem to be the main food source of other intertidal sea anemones like Anthopleura elegantissima and Anthopleura xanthogrammica [100,101]. Moreover, mussels are suitable to be fed by sea anemones in home aquariums [102]. However, bivalves can close their valves for prolonged periods of time under adverse environmental condition [103,104]. In other words, how can sea anemones obtain nourishments from mussels, if these bivalves tightly close the valves when feel the predator attack?
Mussels are abundant in the intertidal community (Figure 1) and their movements are limited. In this scenario, sea anemones can capture a close mussel with its tentacles and introduce it into the gastrovascular cavity. Once the mussel is captured, it immediately closes its valves and stops filtering. Nonetheless, the sea anemones have cnidocytes in the gastrovascular cavity [8] capable of breaking mussels’ protection. First, hydrolytic enzymes like zinc metalloproteinase/disintegrin, hyaluronidases and proteases found in B. verrucosa may be poured into the gastrovascular cavity. The combination of such enzymes could degrade the tissues that seals the shell, probably a dorsal elastic proteinaceous-ligament extending for the length of the hinge [105]; or through the ventral margin of the mussel. The tissues degradation by metalloproteinases can facilitate the diffusion of neurotoxins inside the prey. Then, neurotoxins could act on the adductor muscle, whose loss of function will lead to valve opening.
Specifically, SE-cephalotoxin can diffuse inside the valves, inhibiting the adductor muscles, thus producing flaccid paralysis increasing the valves gape aperture. The high solubility previous reported for SE-cephalotoxin seems to play an important role in the diffusion of this toxin in sea water. This property should be useful whether preys are nearby the sea anemone, because SE-cephalotoxin could disperse around or in the sea water remnant inside the shell after enclosed its valves. Besides, this feature can be used as an advantage to subdue prey prior to eating. Other neurotoxins detected, and the PLA2 vurtoxin, are also able to block the adductor muscles. However, the diversity of toxins found is likely related to others potential preys as crabs and goby fishes (Gobiidae, Perciformes), polychaetes worms and starfish. Interestingly, other cephalotoxins have been previously purified from species of octopodiform cephalopods [106,107,108,109], which are likely used to neutralize crabs and bivalves. Altogether, toxins found seemingly act synergistically to subdue mussels. Indeed, a similar mechanism in which hydrolytic enzymes like metalloproteinase facilitate the access of neurotoxic peptides to synaptic targets was previously proposed for the spider T. loki [83].

3. Materials and Methods

3.1. Protein Extraction

Specimens of B. verrucosa were sampled at Praia da Memória, Porto, Portugal (Lat/Long WGS84; 41°14′00.0′′ N 8°43′27.0′′ W). Then whole animal bodies (four specimens) were kept at −80 °C, freeze dried and subsequently homogenized in a blender until obtaining a dry powder. Lyophilized material of B. verrucosa (0.1 g) was mixed with 500 µL Tris-HCl (40 mM), MgCl2 (5 mM), Dithiothreitol (DTT) (1 mM), protease inhibitors (87,785, Thermo Scientific, Waltham, MA, USA), at pH 8.0, (buffer 1) in vortex (2 × 30 s). The mixture was centrifuged at 16,000× g, during 20 min at 4 °C. The supernatant (soluble protein fraction, SF) was stored at −20 °C and the pellet was homogenized with 500 µL urea (7 M), thiourea (2 M), CHAPS (4%, w/v), dithiothreitol (65 mM) and ampholytes (0.8%, v/v), at pH 4–7 in vortex (2 × 30 s) and incubated overnight, at 4 °C. The homogenate was centrifuged at 16,000× g, during 20 min at 4 °C, and the supernatant (insoluble protein fraction, IF) collected and stored at −20 °C. Total protein concentration was estimated according to the Bradford method [110].

3.2. Two-Dimensional Gel Electrophoresis

Two-dimensional gel electrophoresis (2DE) was performed as described previously [49]. Duplicate IF and SF (~400 µg of protein) were diluted to 300 µL urea (7 M), thiourea (2 M), CHAPS (4%, w/v), dithiothreitol (65 mM) and ampholytes (0.8%, v/v), at pH 4–7 and loaded onto 17 cm, pH 4–7 immobiline dry strips (Bio-Rad, Hercules, CA, USA) with active hydration (50 Volt) for 12 h. Proteins were separated by isoelectric focusing (IEF) in a Protean IEF cell (Bio-Rad) with the following program: step 1, 15 min at 250 V; step 2, 3 h voltage gradient to 10,000 V (linear ramp); step 3, 10,000 V until achieving 60,000 V/h (linear ramp). Second-dimension sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) was performed in a Hoefer SE 900 vertical slab electrophoresis system (Hoefer, Holliston, MA, USA), with 12% (w/v) acrylamide gels, at 480 mA and 20 °C. After electrophoresis run the gels were stained with colloidal Coomassie blue G-250 [111]. The 2DE protein profiles were analyzed by gel scanning with a GS-800 calibrated densitometer (Bio-Rad) and the D analysis software (Bio-Rad) as described previously [49]. Protein spots detected by this procedure were excised from the gels for subsequent identification.

3.3. MALDI-TOF MS Analysis

Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF/TOF) mass spectrometry (MS) measurements were performed to identify protein spots from 2DE gels. Protein spots were washed, distained, reduced, alkylated, and digested with trypsin following the procedure described by Osório and Reis [112]. The solution containing the peptides was collected and stored at −20 °C until application to a MALDI plate. Peptides were acidified with trifluoroacetic acid (TFA) and concentrated using C18 micro-columns (C18 Tips, 10 µL, Thermo Scientific, 87782). Peptides were thereafter eluted from the micro-column directly onto the MALDI plate with 1.5 µL of α-CHCA matrix (8 mg/mL) prepared in acetonitrile (50%, v/v), TFA (0.1%, v/v) and 6 mM ammonium phosphate. MALDI mass spectra were externally calibrated following the manufacturer’s instructions (TOF/TOF calibration mixture, AB SCIEX) and internal calibration was applied using trypsin autolysis peaks. Peptide mass spectra data was collected in positive ion reflector mode in the range of m/z 700–4000 (4800 Plus MALDI TOF/TOF Analyzer, AB SCIEX).
Proteins were identified by combining Peptide Mass Fingerprint and MS/MS information. Proteins were searched in a locally stored NCBI copy of protein sequences of the genomes of the sea anemones Exaiptasia pallida (26,042 protein count, GenBank accession: GCA_001417965.1) and Nematostella vectensis (24,780 protein count, GenBank accession: GCA_000209225.1), using the Mascot search engine (Version 2.4). The search included peaks with a signal-to-noise ratio greater than 10 and allowed for up to two missed trypsin cleavage sites, mass tolerance of 50 ppm, cysteine carbamidomethylation (fixed modification), methionine oxidation (variable modification), and a charge state of +1. For a match to be considered significant, protein scores with a probability greater than 95% (p < 0.05), calculated by the Mascot software, were required [112]. The data generated from 2D-MALDI procedures were also searched against UniProtKB protein sequence database in the Metazoa section [113,114], using the same parameters mentioned before.

3.4. In Solution Protein Digestion and MS/MS Analysis

For LC-MS/MS analysis, SF and IF protein samples were processed by filter aided sample preparation (FASP) method [115] with the following modifications. Protein samples (40 μg) were alkylated and digested with trypsin (recombinant, proteomics grade, Roche, Basel, Switzerland), at enzyme to protein ratio of 1:100 (w/w), for 16 h at 37 °C, in centrifugal filter units with nominal molecular weight limit (NMWL) of 30 kDa (MRCF0R030, Millipore, Billerica, MA, USA). Peptides were subsequently recovered by centrifugal filtration, acidified with formic acid (FA) (10%, v/v), desalted and concentrated by reversed-phase extraction (C18 Tips, 100 µL, Thermo Scientific, 87784) using acetonitrile (ACN) (70%, v/v) and TFA (0.1%, v/v) for peptide elution. Before LC–MS/MS, the peptides were recovered in 0.1% (v/v) Formic acid (FA) to the concentration of 0.04–0.06 μg/μL.
FASP protein digests (duplicate samples) were analyzed by nano-LC coupled to a hybrid Ion-trap mass spectrometer (LTQ Orbitrap Velos Pro—ETD, Thermo Scientific) as described previously [68]. Peptides were separated by reverse-phase chromatography (20 mm × 100 µm C18 precolumn followed by a 100 mm × 75 µm C18 column with particle size 5 µm, NanoSeparations, Nieuwkoop, The Netherlands) using a linear ascending gradient of buffer B (ACN + FA, 0.1%, v/v), being buffer A TFA, 0.1%, v/v in water. The gradient started from 2% B to 30% B in 40 min and to 95% B (v/v) in 30 min, at a flow rate of 0.3 µL/min (total elution time 70 min). Peptides were analyzed by on-line nano-electrospray ionization (easy nano-ESI) in positive mode, with Xcalibur software (version 2.6, Thermo Scientific). Full scans were performed at a resolution of 30,000 with scan ranges of 380–2000 m/z. The top 20 most intense ions were isolated and fragmented with CID by applying normalized collision energy of 30% value, isolation width of 2.0, activation time of 10 milliseconds and Q-value of 0.25. In total 4 nano-LC-MS/MS runs were performed.

3.5. Peptide Identification

The resulting ion-trap raw data (LTQ Orbitrap) were searched against custom cnidarians protein databases using MaxQuant freeware software (version 1.5.5.1) with the Andromeda search engine. MS and MS/MS tolerances were set to 10 ppm and 0.6 Da, respectively. Trypsin was selected for protein cleavage allowing for one missed cleavage. Carbamidomethylation and oxidation were selected as static and dynamic modifications, respectively. Identifications were validated by performing a decoy database search for the estimation of False Discovery Rate (FDR) and peptide identifications were accepted if they could be established at a probability greater than 95.0%. Protein identifications were accepted if they could be established at a probability greater than 99.9% and contained at least two identified peptides (Razor + unique peptides) [116,117], based on Occam’s razor principle). The protein database utilized was the locally stored NCBI copy of protein sequences of the genomes of the sea anemones E. pallida (26,042 protein count, GenBank accession: GCA_001417965.1), N. vectensis (24,780 protein count, GenBank accession: GCA_000209225.1), Hydra vulgaris (21,993 protein count, GenBank accession: GCF_000004095.1) and Acropora digitifera (33,878 protein count, GenBank accession: GCF_000222465.1). The identification of potential toxins was done against the manually reviewed venom proteins and toxins database, from the animal toxin annotation project of the UniProtKB/Swiss-Prot protein knowledgebase [118,119,120] (database size 1.20 MB, downloaded on 16 June 2016).

3.6. Protein Homology Search and GO Analysis

Protein sequences with unknown function were annotated with a blast search in the National Centre for Biotechnology Information database (NCBI, http://www.ncbi.nlm.nih.gov/) using blastp algorithm employing a threshold e-value of 1 × 10−10. Total of proteins identified with Maxquant software, were also blasted and mapped using the Blast2Go software (version 2.4.4) [73]. Gene ontology (GO) terms were used to group proteins within the domains of BP, CC, andMF.

4. Conclusions

The present work revealed for the first time a draft of the whole proteome of the sea anemone B. verrucosa. The shotgun proteomics analysis yielded most of the protein identified in a total of 412, whereas gel-based analyses provided less data but useful as complementary information. Altogether, both gel-based and gel-free approaches of proteomics analyses and functional bioinformatics analyses revealed three major groups of proteins belonging to “metabolic process”, “binding” and “cell parts” GO categories. Unlike throughput analyses, only eight proteins were identified from two-dimensional electrophoresis combined with MALDI-TOF/TOF. These eight proteins comprised enzymes mainly involved in the glycolytic pathway, antioxidants activities and RNA degradation. Notably, according to the results of KEGG analysis a significant number of enzymes corresponded to the Biosynthesis of antibiotics pathway indicating the importance of the biological antimicrobial chemical defense mechanisms. Moreover, some potential toxins such as metalloproteinases, and neurotoxin such as SE-cephalotoxin were identified. The combination of proteomic evidences and the ecology of the species, shed light about its strategy to subdue preys like mussels. In this sense, the toxins seemingly act synergically. Metalloproteinase may produce a degradation of the tissues, aiding the diffusion of the neurotoxins to the target, producing muscle paralysis. Hence, this work constitutes a reference proteome for future studies in sea anemones, also given insight about its potential toxin production and its putative mechanism of action in feeding.

Supplementary Materials

The following are available online at https://www.mdpi.com/1660-3397/16/2/42/s1, Figure S1: Two-dimensional gel electrophoresis of insoluble fraction (IF) from Bunodactis verrucosa, Figure S2: Combined Graph obtained for GO Distribution by Level (2); Table S1: Proteins identified against custom cnidarians databases title; Table S2: Proteins identified as potential toxins; Table S3: Details of GO annotation and protein accession number obtained with the Balst2Go software; Table S4: Details of the KEGG analyses obtained with the Balst2Go software.

Acknowledgments

Dany Domínguez Pérez was supported by a Ph.D. grant (SFRH/BD/80592/2011) from the Portuguese Foundation for Science and Technology (FCT—Fundação para a Ciência e a Tecnologia, Portugal). A. Campos work were supported respectively by Postdoc grants SFRH/BPD/92978/2013 and SFRH/BPD/103683/2014 from the FCT. Armando A Rodríguez was supported by an Alexander von Humboldt postdoctoral fellowship (3.2-KUB/1153731 STP and the Collaborative Research Centre 1279 funded by the German Research Foundation). We are grateful to Isabel Cunha and Daniela Almeida from CIIMAR, FCUP, University of Porto, for the help in the identification, sampling and transporting of B. verrucosa specimens. To Barbara Frazão, from Instituto Português do Mar e da Atmosfera, Lisbon, Portugal for suggestions and by providing information related the species studied. This study was funded in part by the Strategic Funding UID/Multi/04423/2013 through national funds provided by FCT and the European Regional Development Fund (ERDF) in the framework of the program PT2020, by the European Structural and Investment Funds (ESIF) through the Competitiveness and Internationalization Operational Program—COMPETE 2020 and by National Funds through the FCT under the project PTDC/AAG-GLO/6887/2014 (POCI-01-0124-FEDER-016845), and by the Structured Programs of R&D&I INNOVMAR—Innovation and Sustainability in the Management and Exploitation of Marine Resources (NORTE-01-0145-FEDER-000035, Research Line NOVELMAR) and CORAL NORTE (NORTE-01-0145-FEDER-000036), and funded by the Northern Regional Operational Program (NORTE2020) through the ERDF.

Author Contributions

Conceived and Designed the experiments: D.D.-P., V.V., A.C., A.A. Supervised and Contributed Reagents/Materials: V.V., A.A. Two-dimensional gel electrophoresis and MALDI-TOF/TOF analysis: T.R.; A.C., H.O. Shotgun proteomic analysis: M.V.T., D.D.-P., A.C. Wrote the paper: D.D.-P., A.C., A.A.R. Performed the figures and tables: D.D.-P., A.C. Analyzed, discussed and revised the manuscript: A.A.R., M.T., H.O., T.R., V.V., A.A.

Conflicts of Interest

The authors declare no conflict of interest.

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Marinedrugs 16 00042 g001 550
Figure 1. Sampling site at Praia da Memória, Porto, Portugal: (a) Picture of tide pools in rocks where inhabits the species of interest Bunodactis verrucosa. Note the remained pools at low tide and the relative abundance of mussels in the intertidal community; (b) Picture of two individuals of B. verrucosa from the sampling site.
Figure 1. Sampling site at Praia da Memória, Porto, Portugal: (a) Picture of tide pools in rocks where inhabits the species of interest Bunodactis verrucosa. Note the remained pools at low tide and the relative abundance of mussels in the intertidal community; (b) Picture of two individuals of B. verrucosa from the sampling site.
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Figure 2. Two-dimensional gel electrophoresis and identification of soluble proteins from the whole-body aqueous extract of Bunodactis verrucosa. The first-dimension separation was carried out on 17 cm, pH 3–10 IEF gel strips and the second dimension on 12% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) gels. Gels were stained with colloidal Coomassie blue G-250. Identified proteins are indicated with their most commonly used name.
Figure 2. Two-dimensional gel electrophoresis and identification of soluble proteins from the whole-body aqueous extract of Bunodactis verrucosa. The first-dimension separation was carried out on 17 cm, pH 3–10 IEF gel strips and the second dimension on 12% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) gels. Gels were stained with colloidal Coomassie blue G-250. Identified proteins are indicated with their most commonly used name.
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Marinedrugs 16 00042 g003 550
Figure 3. Blast2Go data distribution chart. The number of sequences (#Seqs) analyzed and annotated with Blast2Go software from the four custom cnidarian databases used.
Figure 3. Blast2Go data distribution chart. The number of sequences (#Seqs) analyzed and annotated with Blast2Go software from the four custom cnidarian databases used.
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Figure 4. Blast2Go Species distribution chart. Number of blast hits (#BLAST Hits) retrieved are shown from the four cnidarian databases analyzed.
Figure 4. Blast2Go Species distribution chart. Number of blast hits (#BLAST Hits) retrieved are shown from the four cnidarian databases analyzed.
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Figure 5. Blast2Go hits Gene Ontology (GO) annotation. Number of sequences (#Seqs) corresponding to blast hits annotation are based on the three major GO Categories of GO Distribution by Level (2): Biological Process (PB) in blue, Molecular Function (MF) in green and Cellular Components (CC) in yellow.
Figure 5. Blast2Go hits Gene Ontology (GO) annotation. Number of sequences (#Seqs) corresponding to blast hits annotation are based on the three major GO Categories of GO Distribution by Level (2): Biological Process (PB) in blue, Molecular Function (MF) in green and Cellular Components (CC) in yellow.
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Figure 6. Evidence found relating the Bunodactis verrucosa (Bv) feeding on mollusks: (a) Specimen of B. verrucosa regurgitating an empty mussel’s shell (ms) after body squeezing; (b) Gastropod (gs) found into the gastrovascular cavity of B. verrucosa after its body dissection.
Figure 6. Evidence found relating the Bunodactis verrucosa (Bv) feeding on mollusks: (a) Specimen of B. verrucosa regurgitating an empty mussel’s shell (ms) after body squeezing; (b) Gastropod (gs) found into the gastrovascular cavity of B. verrucosa after its body dissection.
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Table
Table 1. Blast Search summary. Information concerning the proteins identification by Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF/TOF) mass spectrometry of the proteins separated in two-dimensional gel electrophoresis.
Table 1. Blast Search summary. Information concerning the proteins identification by Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF/TOF) mass spectrometry of the proteins separated in two-dimensional gel electrophoresis.
Protein Name 1Species 2Protein 3 ScoreAccession 4 NumberIon 5 ScorePeptide Sequence 6
predicted protein (Peroxiredoxin)Nematostella vectensis137XP_001640260.115R.LIQAFQFTDK.H
115K.DYGVLLEDQGVALR.G
FerritinNematostella vectensis124XP_001632011.1114R.QNYHEECEAGINK.Q
FerritinNematostella vectensis117XP_001627474.111K.LMKFQNQR.G
97R.QNYHEECEAGINK.Q
predicted protein (Ribonuclease)Nematostella vectensis106XP_001634183.193R.VEIEAIAIVGEVKDE.
Superoxide dismutase [Mn]Exaiptasia pallida428KXJ18609.176K.DFGSFENFK.X
67K.KDFGSFENFK.
103K.AIYDVIDWTNVADR.Y
Triosephosphate isomeraseNematostella vectensis356XP_001633516.156K.FFVGGNWK.M
22R.KFFVGGNWK.M
95K.VIACIGELLSER.E
19R.NIFGEKDELIGEK.V
121K.VVIAYEPVWAIGTGK.T
predicted protein/Alpha-enolaseNematostella vectensis95XP_001632906.110K.YNQLLR.I
37R.AAVPSGASTGIYEALELR.D
10K.LAMQEFMLLPTGASNFR.E
Fructose-bisphosphate aldolaseNematostella vectensis151XP_001629735.141K.LTFSFGR.A
23R.LLRDQGIIPGIK.V
28R.LANIGVENTEENRR.L
24R.LLRDQGIIPGIKVDK.G
Fructose-bisphosphate aldolaseNematostella vectensis97XP_001629735.128K.LTFSFGR.A
32R.LANIGVENTEENRR.L
1 best hit NCBI accession number; 2 the name of the species best hit belongs; 3 Score obtained for the MS ion; 4 NCBI accession number retrieved from the custom database; 5 MASCOT’s score for ion peptides; 6 peptides sequences identified with statistical significance.
Table
Table 2. Top twenty Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.
Table 2. Top twenty Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.
Pathway#Proteins in the Pathway#Enzymes in Pathway
Purine metabolism183
Thiamine metabolism171
Biosynthesis of antibiotics1413
Glycolysis/Gluconeogenesis96
Carbon fixation in photosynthetic organisms96
Amino sugar and nucleotide sugar metabolism63
Methane metabolism63
Pyruvate metabolism54
Cysteine and methionine metabolism45
Citrate cycle (TCA cycle)43
Fructose and mannose metabolism42
Various types of N-glycan biosynthesis41
Glycosphingolipid biosynthesis—ganglio series41
Glycosaminoglycan degradation41
Glycosphingolipid biosynthesis—globo and isoglobo series41
Other glycan degradation41
Glyoxylate and dicarboxylate metabolism33
Carbon fixation pathways in prokaryotes32
Pentose phosphate pathway32
Histidine metabolism22
Table
Table 3. Potential toxins from the sea anemone Bunodactis verrucosa. Potential toxins identified by MaxQuant software against the venom section of UniProtKB/Swiss-Prot database.
Table 3. Potential toxins from the sea anemone Bunodactis verrucosa. Potential toxins identified by MaxQuant software against the venom section of UniProtKB/Swiss-Prot database.
Protein 1 NameSpecies 2Score 3Accession 4 NumberIon 5 ScorePeptide Sequence 6Fraction 7 (Rep.)
SE-cephalotoxinSepia esculenta11.47CTX_SEPES62.7AGYIMGNRIF (1)
42.8LDQINDKLDKIF (1)
Basic phospholipase A2 vurtoxinVipera renardi12.06PA2B_VIPRE2.9CCFVHDCCYGNLPDCNPKIDRSF (1)
18.3NGAIVCGKIF (1)
Alpha-latroinsectotoxin-Lt1aLatrodectus tredecimguttatus11.73LITA_LATTR22.7EMGRKLDKIF (2)
3.01NSCMHNDKGCCFPWSCVCWSQTVSRSF (1)
Zinc metalloproteinase/disintegrinDeinagkistrodon acutus11.48VM2M2_DEIAC27.4FPYQGSSIILESGNVNDYEVVYPRKSF (1)
31.7NTLESFGEWRARIF (1)
Neprilysin-1Trittame loki11.49NEP_TRILK28.4LAHETNPRIF (1)
71.3LEAMINKSF (2)
1 UniProtKB/Swiss-Prot name of the protein identified as potential toxin; 2 name of the species best hit belongs; 3 Protein score which is derived from peptide posterior error probabilities; 4 UniProtKB/Swiss-Prot hit accession number; 5 Andromeda score for the best associated MS/MS spectrum; 6 UniProtKB/Swiss-Prot accession number; 7 fraction (IF: Insoluble fraction; SF: Soluble fraction) where a peptide was detected and replicates they occurred.

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Domínguez-Pérez, D.; Campos, A.; Alexei Rodríguez, A.; Turkina, M.V.; Ribeiro, T.; Osorio, H.; Vasconcelos, V.; Antunes, A. Proteomic Analyses of the Unexplored Sea Anemone Bunodactis verrucosa. Mar. Drugs 2018, 16, 42. https://doi.org/10.3390/md16020042

AMA Style

Domínguez-Pérez D, Campos A, Alexei Rodríguez A, Turkina MV, Ribeiro T, Osorio H, Vasconcelos V, Antunes A. Proteomic Analyses of the Unexplored Sea Anemone Bunodactis verrucosa. Marine Drugs. 2018; 16(2):42. https://doi.org/10.3390/md16020042

Chicago/Turabian Style

Domínguez-Pérez, Dany, Alexandre Campos, Armando Alexei Rodríguez, Maria V. Turkina, Tiago Ribeiro, Hugo Osorio, Vítor Vasconcelos, and Agostinho Antunes. 2018. "Proteomic Analyses of the Unexplored Sea Anemone Bunodactis verrucosa" Marine Drugs 16, no. 2: 42. https://doi.org/10.3390/md16020042

APA Style

Domínguez-Pérez, D., Campos, A., Alexei Rodríguez, A., Turkina, M. V., Ribeiro, T., Osorio, H., Vasconcelos, V., & Antunes, A. (2018). Proteomic Analyses of the Unexplored Sea Anemone Bunodactis verrucosa. Marine Drugs, 16(2), 42. https://doi.org/10.3390/md16020042

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