Accepted Manuscript Title: Structural characterization of a novel peptide with antimicrobial activity from the venom gland of the scorpion Tityus stigmurus: Stigmurin Author: Edinara Targino de Melo Andr´eia Bergamo Estrela Elizabeth Cristina Gomes Santos Paula Renata Lima Machado Kleber Juvenal Silva Farias Taffarel Melo Torres En´eas de Carvalho Jo˜ao Paulo Matos Santos Lima Arn´obio Antonio Silva-J´unior Euz´ebio Guimar˜aes Barbosa Matheus de Freitas Fernandes-Pedrosa PII: DOI: Reference:
S0196-9781(15)00061-3 http://dx.doi.org/doi:10.1016/j.peptides.2015.03.003 PEP 69420
To appear in:
Peptides
Received date: Revised date: Accepted date:
15-12-2014 2-3-2015 5-3-2015
Please cite this article as: Melo ET, Estrela AB, Santos ECG, Machado PRL, Farias KJS, Torres TM, de Carvalho E, Lima JPMS, Silva-J´unior AA, Barbosa EG, FernandesPedrosa MF, Structural characterization of a novel peptide with antimicrobial activity from the venom gland of the scorpion Tityus stigmurus: Stigmurin, Peptides (2015), http://dx.doi.org/10.1016/j.peptides.2015.03.003 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Structural characterization of a novel peptide with antimicrobial activity from the
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venom gland of the scorpion Tityus stigmurus: Stigmurin
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Edinara Targino de Melo a¥, Andréia Bergamo Estrela a¥, Elizabeth Cristina Gomes Santos a, Paula Renata Lima Machado b, Kleber Juvenal Silva Farias b, Taffarel Melo Torres c, Enéas de Carvalho d, João Paulo Matos Santos Lima e, Arnóbio Antonio SilvaJúnior a, Euzébio Guimarães Barbosa f, Matheus de Freitas Fernandes-Pedrosa a, e, *.
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a. Laboratório de Tecnologia e Biotecnologia Farmacêutica, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.
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b. Laboratório de Imunologia Clínica, Universidade Federal do Rio Grande do Norte, RN, Brazil
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c. Departamento de Ciências Animais, Universidade Federal Rural do Semi-Árido, Mossoró, RN, Brazil.
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d. Centro de Biotecnologia, Instituto Butantan, São Paulo, SP, Brazil.
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e. Programa de Pós-Graduação em Bioquímica, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.
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f. Laboratório de Química Farmacêutica, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.
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¥
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* Author to whom correspondence should be addressed: e-mail:
[email protected]; Tel.: +55-84-3342-9820; Fax: +55-84-3342-9833.
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Abstract
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Both authors contributed equally to this work
A new antimicrobial peptide, herein named Stigmurin, was selected based on a
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transcriptomic analysis of the Brazilian yellow scorpion Tityus stigmurus venom gland,
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an underexplored source for toxic peptides with possible biotechnological applications.
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Stigmurin was investigated in silico, by circular dichroism (CD) spectroscopy, and in
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vitro. The CD spectra suggested that this peptide interacts with membranes, changing its
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conformation in the presence of an amphipathic environment, with predominance of
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random coil and beta-sheet structures. Stigmurin exhibited antibacterial and antifungal
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activity, with minimal inhibitory concentrations ranging from 8.7 to 69.5 μM. It was
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also showed that Stigmurin is toxic against SiHa and Vero E6 cell lines. The results
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suggest that Stigmurin can be considered a potential anti-infective drug.
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Keywords:
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Scorpion venom; Tityus stigmurus; Antimicrobial peptide (AMP); Non-disulfide-
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bridged
(NDBP);
Amphipathic
peptide;
Circular
Dichroism
(CD).
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peptide
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Introduction Antimicrobial peptides (AMPs) are important components of the innate immune
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system, showing a broad spectrum of action against microbes [33,40]. It is believed that
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the mechanism of action of these peptides is not dependent on interaction with a
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specific receptor, making them interesting therapeutic alternatives when compared to
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available antibiotics; the latter act mainly by inhibiting biosynthetic pathways and are
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more prone to induce microbial resistance [32,54,85]. AMPs are distributed across a
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wide variety of species, including unicellular microorganisms, invertebrates and
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vertebrates, which strongly suggests the importance of these molecules in the process of
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survival [48,66].
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The presence of AMPs in the venom of scorpions is frequently reported in the
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literature as an early evolved primitive component of the immune system [1,56]. Some
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examples of antimicrobial peptides found in scorpion venom include Hadrurin from
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Hadrurus
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Parabutoporin from Parabuthus schlechteri [76], IsCTs from Opisthacanthus
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madagascariensis [18,19], Pandinins from Pandinus imperator [15], Mucroporin from
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Lychas mucronatus [17], Imcroporin from Isometrus maculatus [88], VmCt1, VmCt2
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and Vejovine from Vaejovis mexicanus [36,63], BmKn2 and BmKb1 from Mesobuthus
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martensii [87], Ctriporin from Chaerilus tricostatus [27], Meucin 13 and Meucin 18
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from Mesobuthus eupeus [29], StCT2 from Scorpiops tibetanus [10], TsAP-1 and
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TsAP-2 both from Tityus serrulatus [31]. A recent comprehensive review on the
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different classes of AMP found in the venom of several scorpion species can be found
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elsewhere [35]. Taken together, these examples indicate that scorpion venoms are rich
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resources for the study of antimicrobial peptides.
Opistoporins
from
Opistophtalmus
carinatus
[50],
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[75],
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aztecus
an
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The members of Buthidae scorpions are dangerous to humans; to date,
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approximately 500 species have been identified, of which 25 can cause lethal accidents
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[60]. These animals have a wide distribution around the globe: species of the genera
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Androctonus, Leiurus and Buthus are found in North Africa, Middle East and India,
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genus Parabuthus is found in South Africa and genus Tityus in South America,
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especially Brazil [73]. In Brazil, studies on the chemical properties of scorpion venoms
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have been performed more frequently in Tityus serrulatus, T. bahiensis and T.
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fasciolatus [5,39]. In contrast, the venom of T. stigmurus was not yet explored as an
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arsenal of toxins with potential biotechnological applications. Our group has previously
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reported the identification of a transcript encoding an antimicrobial peptide (AMP) from
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T. stigmurus, which was the most abundant transcript in the venom gland [3]. In the
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present study, this peptide (herein named Stigmurin) had its structure evaluated in silico
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and by circular dichroism, and its biological activities investigated against different
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microorganisms and in different mammal cell lines in vitro.
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Materials and methods
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Bioinformatic and Phylogenetic analyses
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The complete nucleotide sequence TSTI0001C selected from the full length
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cDNA library [3] was analyzed by ORF-Finder [70]. Multiple alignments were
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performed with CLUSTAL X [44]. Putative signal peptide, propeptide and mature
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peptide were predicted using SignalP v4.0 [57] and ProP 1.0 [24]. The amino acid
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sequence was subjected to a similarity search in the database of the National Center for
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Biotechnology Information (NCBI) using BLASTp [4].
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The phylogenetic analysis was perfomed using AMP sequences with known
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three-dimensional structure, obtained from the Antimicrobial Peptide Database (APD;
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http://aps.unmc.edu/AP/main.php) [78]. Selected sequences were aligned using the
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programs MAFFT [41] and MUSCLE [25]. A best-fit adjustment of the amino acids
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substitution model was performed using the ProtTest tool [20]. The dendrogram was
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calculated based on a Bayesian analysis using the BEAST tool [23]. Inferences were
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conducted in two independent runs with four simultaneous chains each, and fixed WAG
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model, allowing gamma distributed rates among sites. Each Markov Chain was initiated
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with a random tree, ran for 106 generations, and sampled every 100 generations.
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Consensus tree was estimated following a discarded burn-in of 1,000,000 trees. The
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convergence of the simultaneous runs was assessed using the Tracer tool v.1.5 [22], to
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evaluate the statistic support and robustness of the Bayesian analysis. Generated trees
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were edited in the software FigTree (http://tree.bio.ed.ac.uk/software/figtree/) [62].
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Peptide modeling
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Stigmurin modeling was performed using I-TASSER [68], and 5 models were
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generated. The structures were validated by checking Ramachandran plots, Cβ
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derivation, clash scores, rotamers, backbone bonds and backbone angles [12]. The
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models were analyzed and sorted by score values, and pdb files were visualized using
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USFC Chimera software [83]. The top three models were submitted to a molecular
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dynamics analysis. Models refinement
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Molecular dynamics simulations were performed to optimize the obtained
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models. All simulations were performed in explicit water (TIP3P) or 2,2,2-
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trifluoroethanol (TFE) 70%, using GROMACS [71]. Simulation package and AMBER
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99SB-ILDN force field were used [45]. The protonation state of the protein residues at
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pH 7.0 was determined by PROPKA web server [53]. The simulation time step was 0.5
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microseconds (µs); the minimum distance between any atom of the protein and the box
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wall was 1.2 nm. Coulomb and van der Waals interactions within a shorter-range cutoff
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of 1.0 nm were computed every time step. Particle Mesh Ewald was employed to
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minimize the effects of truncating the electrostatic interactions beyond the 1.2 nm long-
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range cutoff. Covalent bonds in the protein were constrained using the LINCS algorithm
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[37].
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Circular Dichroism (CD)
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Far-UV spectra of the peptide were recorded at 25 °C in water, TFE 20%, 50%
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or 70% (v/v) or sodium dodecyl sulfate (SDS), using 0.1 cm pathlength quartz cuvette
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in a Jasco J-810 spectropolarimeter (Jasco, Tokyo, Japan) with Peltier-type temperature
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controller. Each spectrum corresponds to an average of five scans taken from 182 to 260
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nm, at a scan rate of 50 nm/min [77,80]. Secondary structure of Stigmurin was
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determined by deconvoluting CD data using CONTIN/LL [72], CDSSTR [14] and K2D
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[6] algorithms. We have also used CAPITO web-server [81] to verify the results.
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Peptide synthesis
Mature peptide (without both, signal peptide and propeptide), herein named
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Stigmurin, was synthesized in its amidated form by Invitrogen Life Technologies, USA,
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using FMOC solid-phase technology [11,49]. C-terminal amidation was selected based
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on the presence, in the complete translated sequence, of a highly conserved post-
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translational processing signal (Gly-Arg-Arg-Lys), of which the proteolytic cleavage
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typically precedes the amidation of the adjacent residue in the mature peptide, as
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described previously for several similar scorpion peptides [17,31,42,86,88]. The
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synthetic peptide was purified by reverse-phase HPLC (>90% purity) and its molecular
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weight
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(Supplementary figure 1).
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was
confirmed
by
mass
spectrometry
performed
by the
supplier
Microorganism strains and in vitro antimicrobial assay
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For antimicrobial assays, the following strains were used: Staphylococcus
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aureus (ATCC 29213), Escherichia coli (ATCC 25922), Methicillin-resistant
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Staphylococcus aureus MRSA (ATCC 33591), Candida albicans (ATCC 90028),
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Candida krusei (ATCC 6258) and Candida glabrata (ATCC 90030). Minimal inhibitory concentration (MIC) was determined by broth microdilution
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method in Mueller Hinton Broth (MHB), following the guidelines of the Clinical and
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Laboratory Standards Institute CLSI [13], with small variations as indicated below.
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Inocules were prepared at 1x105 colony forming units per milliliter (CFU/mL) for
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bacteria and to 1x104 CFU/mL for yeasts. One hundred microliters of the bacterial
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suspension and 100 μl of serially diluted Stigmurin were added to each well in
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microtitre plates, to a final peptide concentration of 1.1 to 139.5 μM. The plates were
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incubated at 35 °C for 24 h (bacteria) or at 30 °C for 48 h (yeasts) with continuous
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shaking in a humidified atmosphere. Positive growth controls were inoculated as
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describe above, without addition of peptide. Sterile MHB was used as negative control.
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The MIC was defined as the lowest concentration able to prevent microbial growth,
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based on optical density (absorbance at 550 nm) [82].
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Hemolysis assay
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Hemolytic activity was assessed by incubating a suspension of healthy human
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donor erythrocytes with increasing concentrations of synthetic peptide. Cells were first
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washed three times by centrifugation at 8,000 g for 5 min in 1X PBS, pH 7.4 [52,58],
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then incubated with Stigmurin (1.1– 139.5 μM) at 37 °C for 180 min. Optical density
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(absorbance at 540 nm) of supernatants was recorded using a plate reader (Epoch-
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Biotek, Winooski, VT, USA).
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Cytotoxicity assay
The cytotoxicity of the synthetic peptide was evaluated in SiHa cells (human
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cervical cancer cell line) and Vero E6 cells (African green monkey kidney epithelial cell
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line). Cell viability was measured by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl
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tetrazolium bromide (MTT) assay (Sigma–Aldrich, Germany). Confluent cell-
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monolayers contained in 96-well plates were incubated with serially diluted Stigmurin
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(2.17– 279 μM) in RPMI-1640 for SiHa cells, or Leibovitz (L-15) for Vero E6 cells, at
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37 °C for 24 h. Then, 50 μL of MTT (1 mg/mL) was added to each well and further
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incubated for 4 h at 37 °C. Supernatants were removed and replaced by 100 μL of
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dimethyl sulfoxide (DMSO) to solubilize formazan crystals [51], and absorbance was
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measured at 540 nm. Peptide concentration necessary to reduce cell viability in 50%
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(IC50) was calculated by comparison with untreated cells. Statistical analysis
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For the interpretation of bioassays, multiple-group comparisons were evaluated
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by analysis of variance (ANOVA) using Graph Pad Prism software (Version 5.00,
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Graph Pad, San Diego, CA, USA). Differences were considered significant when p <
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0.05.
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Results Bioinformatic and Phylogenetic analyses
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From the cDNA library obtained from T. stigmurus venom glands [3], the clone
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TSTI0001C was isolated and identified, coding for a mature protein with 73 amino acid
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residues [GenBank: JK483709], named Stigmurin. The protein sequence shows a 22
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amino acids-long signal peptide, and propeptide starting with the highly conserved post-
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translational processing signal: Gly-Arg-Arg-Lys-Arg (GRRKR), and 29 amino acids
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preceding the mature protein of 17 amino acids (Figure 1).
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Multiple sequence alignment with peptides retrieved from GenBank (Figure 2)
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showed high similarity between Stigmurin and PAMs of different scorpion species, all
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exhibiting experimentally proved in vitro antimicrobial activity [2,8,17,21,31,47,88].
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Several amino acid residues are observed in conserved positions of these peptides,
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especially in mature toxin region. Probably all aligned sequences undergo post-
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translational modification, given the presence of the signal peptide, propeptide and
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cleavage site [31]. Interestingly, the phylogenetic analysis (Figure 3) demonstrated that
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Stigmurin, along with the scorpion peptides Mucroporin and Bmkb1, exhibited
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significant sequence similarity (as well as an evolutive proximity) to phylloseptins, a
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family of antimicrobial peptides from South/Central American Phyllomedusinae frog
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skin [43,61].
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According to structural modeling, it was observed that Stigmurin shows alpha-
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helical conformation (Figure 4A). The stability of the secondary structure depends on
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the environment by which it is surrounded; this is supported by two simulation
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experiments where the peptide changed from alpha-helix structure to a beta-sheet
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conformation when in water, whereas it assumed a random coil structure when the
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simulation was performed in TFE 70% (Figure 4 B and C, and Supplementary video
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1 and 2).
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Secondary structure evaluated by CD spectroscopy
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The CD analysis of synthetic Stigmurin in aqueous solution showed a typical
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spectrum of disordered structure. When 20% TFE was added to the system, the dichroic
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spectrum changed; in 50% TFE, the deviation of the spectra from zero-value of
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ellipticity became more prominent, and the results were similar in 70% TFE, as well as
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in SDS above critical micelle concentration (CMC), a membrane-mimetic environment
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(Figure 5A). The spectra were analyzed by deconvolution using four different
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approaches [6,14,72,81]. Figure 5B presents the proportion of the sequence assuming
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alpha-helical, beta-sheet or random coil secondary structure in the different
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environments, calculated as the mean of the values found by the four methods. The
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results show a general predominance of random coil and beta-sheet conformation.
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Antimicrobial activity
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Stigmurin was active against Gram-positive bacterial strains Staphylococcus
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aureus and Methicillin-resistant S. aureus MRSA, and the yeasts Candida albicans, C.
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krusei, and C. glabrata, but it was ineffective against Gram-negative Escherichia coli
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(Table 1). Interestingly, Stigmurin was found to possess low hemolytic activity (22 %)
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at the highest concentration tested (139.5 μM), as shown in Figure 6.
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In vitro cytotoxicity
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Stigmurin showed toxicity against SiHa cells, leading to 36%, 69% and 92% of
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non-viable cells after exposition to the peptide at concentrations of 69.8 μM, 139.5 μM
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and 279 μM, respectively (Figure 7A). Cytotoxic effect it was also observed in Vero E6
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cells, where 57% and 89% of the cells were non-viable after incubation with Stigmurin
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at concentrations of 139.5 μM and 279 μM, respectively (Figure 7B). The IC50
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parameter verifies that viability reduction was more prominent on human carcinoma
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lineage SiHa (IC50 118 μM), than on monkey epithelial cells Vero E6 (IC50 150 μM).
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Discussion
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The identification and analysis of Stigmurin demonstrated that this peptide has
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high sequence similarity to other non-disulfide-bridged antimicrobial peptides
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[2,8,17,21,31,47,88]. Through multiple sequence alignment and phylogenetic analysis,
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it could be noticed a significant conservation of key amino acid residues that are
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characteristic of antimicrobial peptides [73]. This observation is consistent with the
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hypothesis that many AMPs are evolutionarily related within the Scorpionidae taxon,
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having arisen from multiple duplications of an ancestral gene [73,86]. The
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diversification of AMPs could then be part of an evolutionary strategy driven by the
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rapid evolution of pathogens [67]. Furthermore, bioinformatic analysis showed evidence
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that Stigmurin is a new AMP. Structural analysis of Stigmurin by molecular dynamics and CD showed that its
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structure differs when in the presence of water, SDS or TFE. These results suggest that
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it may assume different conformations depending on the environment, which is a
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common behavior in AMPs [74]. It is essential to highlight that, according to CD
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analysis, Stigmurin exhibited a more regular secondary structure when in contact with
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TFE or SDS. TFE diminishes the peptide interaction with the solvent and favors
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intramolecular interactions, thus increasing the chance of secondary structure
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conformation (in this work, mainly β-sheet) [65]. Stigmurin presented a different
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structure in the presence of water, mostly random coil. Furthermore, the contact with a
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micellar solution led to a conformational shift in Stigmurin's structure, indicating that it
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may interact with micelles, which mimic membranes [74]. This suggests that the
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mechanism of action of Stigmurin is through interaction with membranes, which is very
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common among other AMPs already characterized [33,40,65,74,85].
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It is noticed a discrepancy between the homology models (all alpha-helical
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structure, Figure 4A) with the findings from dynamics simulation (Figure 4B and 4C)
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and experimental CD results (Figure 5A and 5B). Altogether, the present study revealed
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that Stigmurin alters its secondary structure according to the medium, which shows that
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the residues can be structured or flexible in specific conditions, possibly having a
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functional significance [33,34,74]. Another point to be discussed is that the molecular
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dynamics simulation agrees with deconvoluted CD results regarding the type of
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predominant structures, but not the tendency of variation in different media. This could
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derive from the deconvolution algorithms, which are optimized for larger proteins rather
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than for small peptides [6,14,72], or from issues to accurately represent the dielectric
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properties with the force field employed in the simulations [38]. Nevertheless, it can be
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concluded that Stigmurin has an environment-dependent conformation.
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In this work we have demonstrated that Stigmurin, a novel antimicrobial peptide,
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possesses antimicrobial activity against Gram-positive bacteria, including antibiotic-
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resistant pathogens (MRSA), and fungi. Peptide TsAP-1 from Tityus serrulatus venom,
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a highly similar scorpion AMP (96% identity) from a closely related species, presented
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poor antimicrobial activity (MIC > 120 µM for S. aureus, E. coli and C. albicans) when
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compared to Stigmurin [31]. Both peptides have the same net charge (+2 considering
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the C-terminal amidation), and there are only two residues which differ in the mature
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peptide sequences, exchanging Phe24 and Leu34 in Stigmurin for a Leu and a Ser,
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respectively, in TsAP-1 [31]. It is possible that the different activity is a result of a
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decreased hydrophobicity conferred by Ser to TsAP-1. Peptide hydrophobicity, together
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with a positive net charge in an amphipatic arrangement, is considered a major
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requirement for their antimicrobial activity [59]. In contrast, despite a lower sequence
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similarity to Stigmurin (78%), peptide TsAP-2 from T. serrulatus has identical
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proportion of hydrophobic residues (10 out of 17) and presented a more similar activity,
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causing deleterious effects in Gram-positive bacterium S. aureus development, and in
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C. albicans, but being less effective against Gram-negative E. coli [31].
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In fact, activity against Gram-positive bacteria with a weaker activity against
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Gram-negative bacteria was also described for other non-dissulfide-bridged peptides
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from scorpions such as Pandinin1 and -2, IsCT and IsCT2 [15,18,19]. Among these
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peptides, IsCT, IsCT2 and TsAP-2 present a conserved consensus sequence (X(0-
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5)IX3IX3IX4)
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This consensus is partially present in Stigmurin and Pandinin2, where the second Ile
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residue is substituted by other hydrophobic residues (Val and Phe, respectively). Here
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again, hydrophobicity seems to be a key aspect in the antimicrobial activity of cationic
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peptides. The initial electrostatic interaction with negatively charged surface molecules
290
(e.g. teichoic acids in the Gram-positive cell wall), and subsequent membrane insertion
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are important steps in the process of killing; however, the mechanisms of action and the
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specific cellular targets can vary among peptides and among organisms for a given
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peptide [28]. Furthermore, it is important to note that the differences in the cell surface,
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or even differences in the absorption of the agent by each type of microorganism are
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other factors that can influence the MIC values [69].
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where the three Ile residues seem to play an important functional role [86].
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Infections by multi-drug resistant pathogens such as MRSA are reaching
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alarming numbers worldwide, frequently causing the death of hospital patients [55]. It is
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appreciated that the mechanism of action of AMPs, in contrast to most conventional
299
antibiotics, is less prone to induce microbial resistance, and peptide antibiotics have
300
been considered valuable alternatives in the treatment of such infections [55]. Our
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results suggest that Stigmurin can be a candidate molecule for use in antimicrobial
302
therapy. Furthermore, at the concentration which Stigmurin has prominent antimicrobial
303
activity, its hemolytic activity is only mild, supporting the potential use of this molecule
304
for therapeutic purposes [88]. Interestingly, Stigmurin combines a good antimicrobial
305
activity with a fairly low hemolytic activity, in contrast to the closely related peptides
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from T. serrulatus which are either poorly antimicrobial (TsAP-1) or highly hemolytic
307
(TsAP-2) [31].
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There are fewer studies reporting AMPs activity against Candida species, but it
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is believed that the mechanism of action is similar to that observed in bacteria [40]. The
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cell wall of yeasts is an anionic surface characterized by its rigidity, being glucans (1,3-
311
β and 1,6-β) the most abundant polysaccharides (around 60%), followed by mannans.
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Chitin, the less abundant component, corresponds to approximately 1% of all
313
saccharides present in the cell wall [46]. Some scorpions AMPs tested against Candida
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albicans yielded similar results to those we found for Stigmurin, including: TSAP-2
315
(MIC 10 μM) [31], Meucin-18 (MIC 24.1 μM) [29], and Ctriporin (MIC 20 μg/mL)
316
[27].This data strengthens our results suggesting that Stigmurin could be considered for
317
the treatment of candidiasis.
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The results on the cytotoxic activity of Stigmurin indicate a possible differential
319
toxicity towards tumor cells. This is in accordance with observations by other
320
researchers reporting variations in sensitivity of different cell cultures to antitumor
321
AMPs [7,79]. For instance, peptides present in the venom of the scorpion Tityus
322
discrepans were active against SKBR3 breast cancer cell line, having negligible effect
323
upon monkey kidney cells (MA104) [16]. The exact mechanism of toxicity which
324
differs in different cell types is not yet fully elucidated, but may be related to the
325
negative charge of cancer cell membranes, due to increased expression of molecules
326
with anionic character, such as glycosylated mucins, sialylated gangliosides, and
327
heparin sulfate [30]. Furthermore, it has been reported that cell intrinsic factors
328
influence their sensitivity to toxic substances, including chemical biotransformation and
329
binding forms, characteristics of membrane permeability and surface determinants,
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intracellular synthesis and mechanisms of adaptation and recovery [9,64,84].
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From T. serrulatus, peptide TsAP-2 showed cytotoxicity against five different
332
human cancer cell lines, with IC50 ranging from 4 to 15 µM, whereas TsAP-1 had a less
Page 11 of 29
effective antitumoral action [31]. This was in line with their antimicrobial activity; it is
334
thus possible that, like the effect upon microorganisms, Stigmurin's antitumoral
335
potential is more similar to TsAP-2, despite a lower sequence similarity, as discussed
336
above. The IC50 values obtained in the high µM range for Stigmurin upon the two cell
337
lines tested in the present study are not per se indicators of an antitumoral activity;
338
besides potency, other parameters such as maximum effect and the slope of the dose-
339
response curve, should also be taken into account when analyzing putative novel
340
antitumoral drugs [26]. Further studies on a wider panel of tumor cell lineages will be
341
required to suggest a possible anticancer potential for Stigmurin. Nevertheless, this is to
342
our knowledge the first scientific evidence demonstrating the effect of a component of
343
T. stigmurus venom on cell viability of a human cancer cell line.
us
cr
ip t
333
Acknowledgements
345
We would like to thank CAPES (Toxinology 063/2010) and FAPERN
346
(PRONEM 2011) for the financial support. The authors are also grateful to Kobashi,
347
L.S. from the Butantan Institute who helped in the discussion of circular dichroism
348
experiments. A.B.E. acknowledges a research fellowship from Conselho Nacional de
349
Desenvolvimento Científico e Tecnológico (CNPq). M.F.F.P. is a researcher from
350
CNPq.
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Figure 1 - Nucleotide and translated amino acid sequences of the cDNA clone encoding
635
Stigmurin precursor, as analyzed by ORF-Finder. Predicted amino acid sequence is
636
shown below corresponding codons. Putative signal peptide (Bold), propeptide (Italics)
637
and mature peptide (dark gray box) were predicted using SignalP v4.0 and ProP 1.0.
638
The conserved propetide convertase cleavage site is indicated in light gray box.
ip t
634
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Figure 2 - Alignment of Stigmurin (GenBank: JK483709) with that of known
641
antimicrobial peptides from scorpions by CLUSTAL X, indicating different peptide
642
regions. Gray scale indicates the residues’ degree of conservation. Dashed line: signal
643
peptide; Stars: probable active peptide; Asterisks: C-terminal amidated lysine and
644
adjacent amide donor glycine residues; Crosses: cleavage site for proprotein convertase;
645
Rectangle: propeptide. GenBank accession numbers are: S6CWV8.1: TsAP-1 from
646
Tityus serrulatus; Q5G8B3.1: antimicrobial peptide clone 6 from T. costatus;
647
Q5G8B4.1: antimicrobial peptide clone 5 from T. costatus; S6D3A7.1: TsAP-2 from T.
648
serrulatus; AGC92780.1: caerin-like peptide from Mesobuthus eupeus; AAW23032.1:
649
toxin peptide from M. martensii; G8YYA5.1: AamAP1 from Androctonus amoreuxi;
650
B9UIY3.1: Mucroporin, from Lychas mucronatus; C7B247.1: Imcroporin from
651
Isometrus maculatus.
652 653
Figure 3 - Phylogenetic analysis of Stigmurin and antimicrobial peptides with known
654
secondary structure, obtained from multiple alignment using MAFFT program.
655
Bayesian analysis was performed in BEAST tool using fixed WAG model. Posterior
656
predictive p-values are shown in the nodes. Color code represent: Red = scorpion
657
AMPs, Blue = Stigmurin; Green = Phylloseptins, Black = Peptides from hylids.
658
Figure 4 - Modeled patterns of Stigmurin’s secondary structure A) Stigmurin modeled
659
ab initio by I-TASSER, visualized using USFC Chimera software. Hydrophobic
660
residues and hydrophilic residues are shown in red and blue, respectively. Also,
661
representative snapshots from the dynamics simulations are shown in B) in explicit
662
water and C) in 70% (v/v) TFE solution. Simulations were performed in GROMACS
663
with 0.5-μs time steps, starting from full α-helices and using AMBER 99SB-ILDN
664
force field.
Ac ce p
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640
665
Page 19 of 29
Figure 5 - Stigmurin evaluation by Far-UV circular dichroism. (A) CD spectra in water
667
(light gray), TFE 20 % (dotted), 50 % (dashed), and 70 % (solid black), 20 mM SDS
668
(dark gray). (B) Predominance of secondary structures according to deconvolution data
669
of CD spectra using different algorithms (CONTIN/LL, SELCON and K2D) and
670
CAPITO server (CD Analysis and Plotting Tool). Values presented are mean ± SD of
671
the percentages obtained by the four different methods, except in water, which was
672
performed exclusively using CAPITO.
673
Table 1 - Minimum inhibitory concentrations (MIC) of synthetic Stigmurin peptide
674
against standard bacterial strains. Values represent mean ± SD (n = 3). ** p < 0.01 and
675
*** p < 0.001 compared to positive control.
676
Figure 6 - Hemolytic activity of Stigmurin. Human red blood-cells were incubated with
677
serially diluted Stigmurin (1.1– 139.5 μM), at 37 °C for 180 min. The activity was
678
determined by measuring the absorbance at 540 nm, using PBS and distilled water as
679
negative and positive lysis control, respectively. Percentage hemolysis was calculated
680
relative to the positive control (100 %). Values represent mean ± SD (n = 3). ** p <
681
0.01 compared to positive control.
cr
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Figure 7 - Citotoxicity of Stigmurin. Dose-response curves of cell viability as measured
684
by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay in cell
685
lines SiHa (A) and Vero E6 (B). Cells were cultured in 96-well microtitre plates using
686
RPMI-1640 or L-15 media in the presence of serially diluted Stigmurin (2.17– 279 μM)
687
for 24 h. The activity was determined by measuring the absorbance at 540 nm after
688
addition of MTT for 4 h and subsequent solubilization with DMSO. Values represent
689
mean ± SD (n = 3). Statistical significance was analyzed using a paired t-test . * p <
690
0.05, ** p < 0.01 and *** p < 0.001 compared to positive control.
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692 693 694
Highlights This work describes a novel peptide (Stigmurin) from Tityus stigmurus scorpion
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Stigmurin´s structure was evaluated in silico and by circular dichroism
700 701
The peptide assumes different conformations depending on the environment
702
Stigmurin exhibited antibacterial and antifungal activities
703
Stigmurin was toxic against SiHa and Vero E6 cell lines
us
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695 696 697 698
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Strains Gram-positive Staphylococcus aureus (ATCC 29213) Methicillin-resistant S. aureus MRSA (ATCC 33591)
MIC (µM ± SD)
> 139
Yeasts Candida albicans (ATCC 90028) C. krusei (ATCC 6258) C. glabrata (ATCC 90030)
Ac ce p
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34.75 ± 1.4 *** 69.5 ± 4.02 ** 69.5 ± 2.83 ***
cr
Gram-negative Escherichia coli (ATCC 25922)
ip t
8.68 ± 1.1 *** 17.37 ± 1.2 ***
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Figure 1
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Figure 2
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cr us
0,04
0,2 0,1 0,12 0,14
0,29
M an ed
1
0,27
ce pt
0,14 0,16
0,24
Ac
0,69
Mucroporin (Lychas mucronatus -AP01327) Bmkb1 (Buthus martensii Karsch -AP01977) Stigmurin, Tityus stigmurus (JK483709.1) Phylloseptin-H5 (Phylllomedusa hypochondrialis - AP00762) 0,04 Phylloseptin-H1 (Phylllomedusa hypochondrialis- AP00546) 0,02 0,06 Phylloseptin-O2 ( Phyllomedusa hypochondrialis-AP00760) Phylloseptin-H11 (Phyllomedusa hypochondrialis-AP00972) Phylloseptin-H3 (Phyllomedusa hypochondrialis- AP00758) 0,02 Phylloseptin-H2 (Phyllomedusa hypochondrialis- AP00757) Phylloseptin-1( Phyllomedusa sauvagei -AP01581) Phylloseptin 12 (Phyllomedusa hypochondrialis- AP01350) Temporin A (Rana temporaria - AP00094 0,04 Temporin B ( Rana temporaria- AP00095) 0,02 0,06 Bombinin H4 (Bombina variegata -AP00056) Temporin L (Rana temporaria -AP00101) Bombinin-like peptide 3 (Bombina orientalis- AP00052) 0,02 Bombinin-like peptide 2 (Bombina orientalis- AP00051) 0,04 0,06 Bombinin-like peptide 4 (Bombina orientalis- AP00053) 0,08 Maximin 4 (Bombina maxima - AP00061) Ranatuerin-2CSa (Rana cascadae- AP00592) Caerin 1.5 (Litoria caerula- AP00244) 0,04 Caerin 1.4 (Litoria caerula- AP00243) 0,02 0,08 Caerin 1.3 (Litoria caerula- AP00242) Caerin 1.2 (Litoria caerula- AP00241) 0,02 Caerin 1.1 (Litoria splendida -AP00240) Caerin 1.8 (Litoria chloris- AP00247) 0,04 Caerin 1.9 (Litoria chloris- AP00248) 0,02 Caerin 1.6 (Litoria xanthomera- AP00245) Maculatin 1.1 (Litoria eucnemis- AP00260) Sarcotoxin IA (Drosophila melanogaster- AP00230) 0,02 Cecropin 2 (Musca domestica -AP00135) 0,04 Cecropin A (Hyalophora cecropia- AP00139) Clavanin E (Styela clava- AP00280) Clavanin B (Styela clava- AP00277) 0,08 0,02 Clavanin A (Styela clava- AP00276) 0,06 Clavanin D (Styela clava- AP00279) 0,02 Clavanin C (Styela clava- AP00278) Chrysophsin-3 (Chrysophrys major- AP00341) 0,04 Chrysophsin-2 (Chrysophrys major- AP00340) 0,02 0,08 Chrysophsin-1 (Chrysophrys major- AP00339) Cathepsin G1-5 (Homo sapiens -AP00334) 0,02 Piscidin 1 (Morone saxatilis- AP00473) Aurein 2.4 (Litoria aurea- AP00017) 0,04 Aurein 2.3 (Litoria aurea- AP00016) 0,02 Aurein 2.2 (Litoria aurea- AP00015) Citropin 1.1(Litoria citropa- AP00351) 0,04 Aurein 1.2 (Litoria aurea - AP00013) 0,02 Aurein 1.1 (Litoria aurea - AP00012) Uperin 3.6 (Uperoleia inundata- AP00325) Page 25 of 29 Ponericin G6 (Pachycondyla goeldii- AP00381) 0,02
ip t
Figure 3
0,18
0,41
0,1 0,12 0,14
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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