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Antimicrobial activity of linear lipopeptides derived from BP100 towards plant pathogens

  • Àngel Oliveras,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliation LIPPSO, Department of Chemistry, University of Girona, Campus Montilivi, Girona, Spain

  • Aina Baró,

    Roles Formal analysis, Investigation, Writing – original draft, Writing – review & editing

    Affiliation Laboratory of Plant Pathology, Institute of Food and Agricultural Technology-CIDSAV-XaRTA, University of Girona, Campus Montilivi, Girona, Spain

  • Laura Montesinos,

    Roles Formal analysis, Investigation, Writing – original draft, Writing – review & editing

    Affiliation Laboratory of Plant Pathology, Institute of Food and Agricultural Technology-CIDSAV-XaRTA, University of Girona, Campus Montilivi, Girona, Spain

  • Esther Badosa,

    Roles Conceptualization, Formal analysis, Investigation, Writing – original draft, Writing – review & editing

    Affiliation Laboratory of Plant Pathology, Institute of Food and Agricultural Technology-CIDSAV-XaRTA, University of Girona, Campus Montilivi, Girona, Spain

  • Emilio Montesinos,

    Roles Conceptualization, Formal analysis, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

    Affiliation Laboratory of Plant Pathology, Institute of Food and Agricultural Technology-CIDSAV-XaRTA, University of Girona, Campus Montilivi, Girona, Spain

  • Lidia Feliu ,

    Roles Conceptualization, Formal analysis, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

    lidia.feliu@udg.edu (LF); marta.planas@udg.edu (MP)

    Affiliation LIPPSO, Department of Chemistry, University of Girona, Campus Montilivi, Girona, Spain

  • Marta Planas

    Roles Conceptualization, Formal analysis, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

    lidia.feliu@udg.edu (LF); marta.planas@udg.edu (MP)

    Affiliation LIPPSO, Department of Chemistry, University of Girona, Campus Montilivi, Girona, Spain

Abstract

A collection of 36 lipopeptides were designed from the cecropin A-melittin hybrid peptide BP100 (H-Lys-Lys-Leu-Phe-Lys-Lys-Ile-Leu-Lys-Tyr-Leu-NH2) previously described with activity against phytopathogenic bacteria. These lipopeptides were synthesized on solid-phase and screened for their antimicrobial activity, toxicity and proteolytic stability. They incorporated a butanoyl, a hexanoyl or a lauroyl group at the N-terminus or at the side chain of a lysine residue placed at each position of the sequence. Their antimicrobial activity and hemolysis depended on the fatty acid length and its position. In particular, lipopeptides containing a butanoyl or a hexanoyl chain exhibited the best biological activity profile. In addition, we observed that the incorporation of the acyl group did not induce the overexpression of defense-related genes in tomato. Best lipopeptides were BP370, BP378, BP381, BP387 and BP389, which were highly active against all the pathogens tested (minimum inhibitory concentration of 0.8 to 12.5 μM), low hemolytic, low phytotoxic and significantly stable to protease degradation. This family of lipopeptides might be promising functional peptides useful for plant protection.

Introduction

Plant pathogenic bacteria and fungi cause a vast amount of diseases of crops giving rise to economic losses and affecting the quality and safety of food [13]. The currently used antimicrobial agents to combat plant diseases have non-target effects on consumers and environment mainly due to their toxicity and low biodegradability [4]. Moreover, the development of resistance by bacteria and fungi also constitutes an important hurdle associated to the use of antimicrobials in plant protection [5,6]. Therefore, there is a need for finding out safer chemicals to control plant pathogens that overcome these limitations.

Antimicrobial and plant defense elicitor peptides have been the object of an intense research and development as new candidates for plant protection against fungal and bacterial diseases [712]. Lipopeptides are a subclass of antimicrobial peptides that are considered attractive candidates for the development of new peptide-based pesticides [1315]. They are composed of a linear or cyclic peptide sequence incorporating an acyl chain, generally attached to the N-terminus [13,14,1623]. Lipopeptides display a broad spectrum of activity and, similarly to antimicrobial peptides, their mode of action involves the perturbation of the cell membrane. These compounds first interact electrostatically with the negatively charged bacterial membrane which is followed by their insertion into the hydrophobic core of the cell membrane, disturbing the bilayer integrity by forming non-specific channels/pores. It has also been described that lipopeptides may inhibit the synthesis of essential cell wall components [19,22]. These peptides are unlikely to cause the emergence of pathogen resistant strains because they do not target a specific receptor [19,21].

The acyl chain is crucial for the biological activity of lipopeptides, because it acts as a membrane anchor [21,2427]. In this context, acylation of a peptide sequence is regarded as a means of increasing membrane affinity and, consequently, antimicrobial activity [21,26,2833]. Remarkably, this strategy was also described to endow non-active peptides with antimicrobial activity [3437]. Moreover, it has been reasoned that the presence of the acyl chain protects peptides from proteolytic degradation [21,3840].

Despite the excellent biological properties of lipopeptides, up to now only few reports are centered on their development as agents for plant protection. Most of the research have been focused on cyclic lipopeptides produced by Bacillus subtilis strains due to their diversity of biological properties which include the capacity of inducing plant defense responses [1318]. Recently, we described synthetic cyclic lipodecapeptides derived from the lead antimicrobial peptide BPC194 that were active against plant pathogenic bacteria and fungi, exhibiting differential hemolysis and phytotoxicity [10]. In addition, synthetic acyl linear tetrapeptides have been reported effective to control plant pathogens both in vitro and in planta [41].

Within our continuous exploration of efficient agents to control plant diseases caused by plant pathogenic bacteria such as Erwinia amylovora, Xanthonomas axonopodis pv. vesicatoria, and Pseudomonas syringae pv. syringae, and the fungi Penicillium expansum and Fusarium oxysporum, we identified the linear undecapeptide H-Lys-Lys-Leu-Phe-Lys-Lys-Ile-Leu-Lys-Tyr-Leu-NH2 (BP100) with high antimicrobial activity, low hemolysis and phytotoxicity, and reasonable susceptibility to protease degradation [42,43]. Based on the above considerations on lipopeptides and with the aim of improving the biological profile of BP100, we decided to study the influence in antimicrobial properties of incorporating an acyl chain in its sequence. Moreover, we are also exploring the use of peptides as plant defense elicitors as a new strategy for plant disease management. In particular, we have recently identified linear undecapeptides and cyclic decapeptides able to induce defense responses on tobacco cells and tomato plants, that efficiently control fire blight infections caused by the bacteria E. amylovora on pear [44].

Herein, we report the design, synthesis and properties of a series of 36 lipopeptides derived from BP100. We evaluated the effect of the length and position of the hydrophobic chain on the antimicrobial activity, toxicity and stability. In addition, we studied the capacity of selected lipopeptides to induce the expression of defense-related genes on tomato plants.

Materials and methods

General methods

Manual peptide synthesis was performed in polypropylene syringes (2 or 5 mL) fitted with a polyethylene porous disk. Solvents and soluble reagents were removed by suction. Most chemicals were purchased from commercial suppliers Sigma–Aldrich (Madrid, Spain), Iris Biotech GmbH (Marktredwitz, Germany), Scharlab (Sentmenat, Spain) or Panreac (Castellar del Vallès, Spain), and used without further purification.

Peptides were analyzed under standard analytical HPLC conditions with a Dionex liquid chromatography instrument composed of an UV/Vis Dionex UVD170U detector, a P680 Dionex pump, an ASI-100 Dionex automatic injector, and CHROMELEON 6.60 software. Detection was performed at a wavelength of 220 nm. Solvent A was 0.1% aqueous TFA and solvent B was 0.1% TFA in CH3CN. Analyses were carried out with a Kromasil 100 C18 (4.6 mm × 40 mm, 3 μm) column with a linear gradient of 2–100% B over 7 min at a flow rate of 1 mL/min. Peptides were also analysed with a 1260 Infinity II liquid chromatography instrument (Agilent Technologies) composed of a Diode Array Detector HS, a Quaternary Pump VL, a 1260 Vial sampler and OpenLab CDS ChemStation software. Analyses were carried out with a linear gradient of 2–100% B over 12 min at a flow rate of 1 mL/min.

All purifications were performed on a CombiFlash Rf200 automated flash chromatography system using RediSep Rf Gold reversed-phase C18 column packed with high performance C18 derivatized silica.

ESI-MS analyses were performed at the Serveis Tècnics de Recerca of the University of Girona with an Esquire 6000 ESI ion Trap LC/MS (Bruker Daltonics) instrument equipped with an electrospray ion source. The instrument was operated in the positive ESI(+) ion mode. Samples (5 μL) were introduced into the mass spectrometer ion source directly through an HPLC autosampler. The mobile phase (80:20 CH3CN/H2O at a flow rate of 100 μL/min) was delivered by a 1200 Series HPLC pump (Agilent). Nitrogen was employed as both the drying and nebulising gas.

HRMS were recorded on a Bruker MicroTof-QIITM instrument using ESI ionization source at the Serveis Tècnics de Recerca of the University of Girona. Samples were introduced into the mass spectrometer ion source by direct infusion using a syringe pump and were externally calibrated using sodium formate. The instrument was operated in the positive ion mode.

Synthesis of lipopeptides

These lipopeptides were synthesized manually by the solid-phase method using standard Fmoc chemistry. The Fmoc‐Rink-MBHA resin (0.56 mmol/g) was used as solid support. Fmoc-Leu‐OH, Fmoc-Lys(Boc)-OH, Fmoc-Lys(ivDde)-OH, Fmoc-Phe‐OH, Fmoc-Ile-OH, and Fmoc-Tyr(tBu)-OH were used as amino acid derivatives. Peptide elongation was carried out through sequential Fmoc removal and coupling of the corresponding amino acid. Fmoc group removal was achieved with piperidine/DMF (3:7, 2 + 10 min). Couplings of the Fmoc-amino acids (4 equiv.) were mediated by Oxyma (4 equiv.) and DIC (4 equiv.) in DMF at room temperature for 1 h under stirring. The completion of the reactions was checked with the Kaiser test [45]. After each coupling and deprotection step, the resin was washed with DMF (6 × 1 min) and CH2Cl2 (2 × 1 min). Once the peptide elongation was completed the peptidyl resin was treated with piperidine/NMP (3:7, 2 + 10 min), washed with NMP (6 × 1 min), and CH2Cl2 (2 × 1 min), and air dried.

For lipopeptides BP367, BP379 and BP391 the N-terminal deprotected resin was acylated by treatment with the corresponding fatty acid (10 equiv.), DIC (10 equiv.) and Oxyma (10 equiv.) in NMP for 1 h under stirring. After this time, the resin was washed with NMP (6 × 1 min) and CH2Cl2 (6 × 1 min), and air dried. Completion of the reactions was checked with the Kaiser test [45].

In the case of the side-chain acylated derivatives, the N-terminal deprotected resin was acetylated with Ac2O/pyridine/CH2Cl2 (1:1:1) for 1 h, washed with NMP (6 × 1 min) and CH2Cl2 (6 × 1 min), and air dried. Completion of the reactions was checked with the Kaiser test [45]. The resulting resin was treated with NH2NH2·H2O/NMP (2:98, 10 × 20 min) under stirring and washed with NMP (2 × 1 min), CH2Cl2 (2 × 1 min), MeOH (2 × 1 min), and NMP (2 × 1 min). Then, the resin was acylated by treatment with the corresponding fatty acid (10 equiv.), DIC (10 equiv.) and Oxyma (10 equiv.) in NMP for 1 h under stirring. The resin was then washed with NMP (6 × 1 min) and CH2Cl2 (6 × 1 min), and air dried. Completion of the reactions was checked with the Kaiser test [45].

Finally, each resulting peptidyl resin was treated with TFA/H2O/TIS (95:2.5:2.5) for 2 h. Following TFA evaporation and diethyl ether extraction, the crude lipopeptides were purified by reverse-phase column chromatography, lyophilized, analysed by HPLC, and characterized by mass spectrometry.

Bacterial and fungal strains and growth conditions

The following plant pathogenic bacterial strains were used: Erwinia amylovora PMV6076 (Institut National de la Recherche Agronomique, Angers, France), Pseudomonas syringae pv. syringae EPS94 (Institut de Tecnologia Agroalimentària, Universitat de Girona, Spain), Xanthomonas axonopodis pv. vesicatoria 2133–2, Pseudomonas syringae pv. actinidiae Psa3700.1.1, Xanthomonas fragariae Xf349-9A (Instituto Valenciano de Investigaciones Agrarias, Valencia, Spain), and Xanthomonas arboricola pv. pruni CFBP5563 (Collection Française de Bactéries associées aux Plantes, Angers, France). All bacteria except for X. fragariae were stored in Luria Bertani (LB) broth supplemented with glycerol (20%) and maintained at -80°C. For X. fragariae, Medium B [46] was used instead of LB. E. amylovora, X. arboricola pv. pruni, P. syringae pv. syringae and P. syringae pv. actinidiae were scrapped from the agar media after growing for 24 h at 25°C, and X. axonopodis pv. vesicatoria and X. fragariae after growing for 48 h at 25°C. The cell material was suspended in sterile water to obtain a suspension of 108 CFU mL-1.

The following plant pathogenic fungal strains were used: Penicillium expansum EPS26 (Institut de Tecnologia Agroalimentària, Universitat de Girona, Spain) and Fusarium oxysporum f. sp. lycopersici FOL 3 race 2 (ATCC 201829, American Type Culture Collection,Virginia, EEUU). Strains were cultured on potato dextrose agar (PDA) plates (Difco). Conidia from P. expansum and microconidia from F. oxysporum were obtained from 5–7 day-old agar Potato Dextrose (PDA) cultures after growth at 25°C. Inoculum was prepared by scraping spore material from culture surfaces with a cotton swab and resuspending it in distilled water containing 0.5‰ of tween 80. The suspensions were filtered through Miracloth (Merk, Millipore) and the concentration of conidia was determined using a hemacytometer and adjusted to 104 conidia mL-1 for F. oxysporum and to 103 conidia mL-1 for P. expansum.

Antimicrobial activity

Lyophilized peptides were solubilized in sterile Milli-Q water to a final concentration of 1 mM and filter sterilized through a 0.22-μm pore filter. For minimum inhibitory concentration (MIC) assessment, dilutions of the compounds were made to obtain a stock concentration of 250, 125, 62, 31, 16, 8 and 4 μM. For antibacterial activity 20 μL of each dilution were mixed in a microtiter plate well with 20 μL of the corresponding suspension of the bacterial indicator, 160 μL of Trypticase Soy Broth (TSB) (BioMèrieux, France) to a total volume of 200 μL. For antifungal activity 20 μL of each stock solution were mixed in a microtiter plate well with 80 μL of the corresponding suspension of the fungal pathogen and 100 μL of double concentrated Potato Dextrose Broth (PDB) to a total volume of 200 μL containing 0.003% w/v of chloramphenicol to prevent bacterial contamination.

Three replicates for each combination of strain, compound and concentration were used. Microbial growth was determined by optical density measurement at 600 nm (Bioscreen C, Labsystem, Helsinki, Finland). For antibacterial activity microplates were incubated at 25°C with 20 s shaking before hourly absorbance measurement for 48 h. For antifungal activity microplates were incubated at 22°C with 1 min shaking before absorbance measurement that were done every two hours during seven days. The experiment was repeated twice. The MIC was taken as the lowest compound concentration with no growth at the end of the experiment.

Hemolytic activity

The hemolytic activity of the compounds was evaluated by determining hemoglobin release from erythrocyte suspensions of horse blood (5% vol/vol)(Oxoid) as previously described [42]. Blood was centrifuged at 6000g for 5 min, washed three times with TRIS buffer (10 mM TRIS, 150 mM NaCl, pH 7.2) and ten times diluted.

Compounds were solubilized in TRIS buffer at 750, 500, 300 and 100 μM and mixed with horse erythrocytes (1:1 v/v). The mixture was incubated under continuous shaking for 1 h at 37°C. Then, the tubes were centrifuged at 3500g for 10 min, 80 μL aliquots of the supernatant transferred to 100-well microplates (Bioscreen), diluted with 80 μL water, and the absorbance measured at 540 nm (Bioscreen). Complete hemolysis was obtained by the addition of melittin at 100 μM (Sigma-Aldrich Corporation, Madrid, Spain). The percentage of hemolysis (H) was calculated using the equation: H = 100×[(OpOb)/(OmOb)], where Op was the density for a given compound concentration, Ob for the buffer, and Om for the melittin positive control.

Effect of peptide infiltration on tobacco leaves

BP100 and the 36 lipopeptides were evaluated for their effect upon infiltration on tobacco leaves as described previously [47]. Peptide solutions of 50, 150 and 250 μM were infiltrated (100 μL) into the mesophylls of fully expanded tobacco leaves. Infiltrations were carried out in a single leaf, and for each peptide and dose, at least three leaves randomly distributed in different plants were inoculated. Control infiltrations with water (negative control) or melittin (positive control) at the same molar concentration were performed. The appearance of symptoms on the leaves was followed for 48 h after infiltration and measured as a lesion diameter.

Effect of peptide treatment on induction of defense gene expression of tomato plants

Seeds of tomato cv. Rio Grande plants were sown in hydroponic seed plugs (rockwool), germinated and grown under controlled greenhouse conditions (25 ± 2°C, 16 h light / 15 ± 2°C, 8 h dark, and 60% RH). Two-week old seedlings (two cotyledons) were transplanted into rockwool plugs (7.5×7.5×6.5 cm, Grodan Iberica). The experimental design consisted of three replicates of three plants per treatment. After two weeks, tomato leaves were sprayed with aqueous solutions of BP100, 9 selected derivatives and flg15 at 125 μM, jasmonic acid at 2.5 mM (Sigma-Aldrich, Sant Louis, Missouri, UE), and acybenzolar-S-methyl at 300 mg/L (Syngenta, Basel, Switzerland), until the run-off point. Water-sprayed plants were used as not treated controls. Twenty-four hours after product application leaf samples were collected and processed to extract RNA for RT-qPCR assays. Plant material was ground to a fine powder in liquid nitrogen with the Tissuelyzer II system (Qiagen). Total RNA was extracted from leaves using PureLink Plant RNA Reagent (Invitrogen, Life Technologies) according to the manufacturer’s manual. The RNA was solubilized in RNAse free water and was routinely subjected to DNAse treatment (Ambion® Turbo DNA-free™, Life Technologies) to remove any contaminant DNA. In each step, the RNA was quantified using a Nanodrop N-2000 spectrophotometer, and its integrity verified by denaturing agarose gel electrophoresis. First-strand of complementary DNA (cDNA) was generated from leave RNA using reverse transcriptase (High Capacity cDNA Reverse Transcription Kit, Invitrogen) according to the manufacturer’s manual.

To test gene defense induction in the treated tomato plants, a qPCR assay was performed. Quantitative PCR was carried out in a fluorometric thermal cycler (qPCR Quant Studio 5, Applied Biosystems) by using a Mix SYBR®Green PCR Master Mix (Applied Biosystems). The total reaction volume of this PCR reaction was 20 μL and the reaction mixture was 1 μL of each primer set at the adequate concentration, 10 μL of MixSyber Green, 6 μL of distilled water and 2 μL of cDNA. Melting curve analysis was performed after amplification to verify amplification specificity. A constitutive gene (actin gene) was used as reference control, and the following genes implicated in plant defense response were analyzed: Pathogenesis-related protein-1 (PR1), Harpin (Harp), Polyphenol oxidase (PPO), Subtilisin-like protease (Sub1), Blue copper binding-protein (BCB), Osmotin (Osm2), Acidic β-1,3 endoglucanase (GluA), Lypoxigenase (LOX), Protein inhibitor II (PinII), Dehydrin (Tas14) and Ethylene response transcription factor (ERT3). Specific oligonucleotides were used for the quantification of the target genes: Harp (f-ATTATGGCCCGTCCATTCCG; r- ATGCAATGACTCCGAGGACG), GluA (f-GGTCTCAACCGCGACATATT; r-CACAAGGGCATCGAAAAGAT), PPO (f-AGACGTAATTCCCACGTCCG; r-GGCACGGTACACCGAAGTTA), Sub1 (f-ACCTAAAGGCGTTGTCGTGA; r-ACCCCAGACATTGAGCTGTT), ERT3 (f-TCCGAAACAGTCACATCGCA; r-AGCATCTTCCGCGCTATCAA´), BCB (f-TTGGCACACACTGTCAAGGT; r-ACTGGCCAATAGGGTCGTTG), Osm2 (f-TCCAATTCAATGCACAGCCA; r-TAGGACCACATGGACCGTGA), and the oligonucleotides used for the genes PR1, LOX, PinII and Tas14 [44]. For each gene system, the concentration of the primer pair was optimized. The primer concentration was 100 nM for all the genes except for the GluA, Harp, PR1 and actin genes which optimized concentration was 300 nM. A calibration curve was prepared by cloning the corresponding DNA in the pSpark cloning vector (Canvax, Córdoba, Spain) according to the manufacturer instructions, which was then used to transform E. coli DH5α by standard procedures. The number of plasmid copies were quantified after purification from E. coli (QIAGEN Iberia, S. L., Madrid, Spain), and appropriate dilutions were prepared to obtain the standard curve. The efficiency for each standard curve was calculated to check that the efficiency within amplifications was similar. Relative quantification of gene expression was done using the ΔΔCt method [48]. Each biological repetition treatment was analyzed in duplicate. The mean of the Ct values obtained were used to estimate the fold change value of the endogenous reference gene (actin) and the target plant defense genes. These results were used to calculate the ratios of the plant defense genes (relative to the actin gene, and for all treatments analyzed, including the control plants). The statistical significance of the results for the selected peptides was determined using the REST2009 Software [49].

Susceptibility to protease degradation

Digestion of BP100 and of 16 selected lipopeptides was carried out by treating 50 μg/mL peptide with 1 μg/mL proteinase K (Sigma-Aldrich Corporation, Spain) in 100 mM TRIS buffer, pH 7.6, at 25°C. The peptide cleavage after 60 min was determined by HPLC using a Kromasil (4.6 × 40 mm; 3 μm particle size) C18 reverse-phase column. Linear gradients of 0.1% aqueous TFA and 0.1% TFA in CH3CN were run from 0.98:0.02 to 0:1 over 12 min with UV detection at 220 nm. Digestion was estimated as the percentage of degraded lipopeptide calculated from the decrease of the HPLC peak area of the native peptide.

Results

Design and solid-phase synthesis of the lipopeptides

The linear lipopeptides of this study were designed based on the structure of H-Lys-Lys-Leu-Phe-Lys-Lys-Ile-Leu-Lys-Tyr-Leu-NH2 (BP100) [42] by acylating the N-terminus or by incorporating an acylated lysine at each position of the sequence (Table 1). In order to evaluate the influence of the hydrophobic chain length on the biological activity, butanoyl, hexanoyl and lauroyl groups were selected. These acyl groups were chosen because they led to the best results in a previous work based on cyclic lipopeptides with antimicrobial activity [10].

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Table 1. Sequences, retention times and purities on HPLC, and mass spectrometry data of lipopeptides.

https://doi.org/10.1371/journal.pone.0201571.t001

These lipopeptides were synthesized on solid phase as C-terminal amides following a standard 9-fluorenylmethoxycarbonyl (Fmoc)/tert-butyl (tBu) strategy using Fmoc-Rink-MBHA as solid support. The Fmoc group was removed with piperidine/DMF and couplings of the amino acids were mediated by N,N-diisopropylcarbodiimide (DIC) and ethyl 2-cyano-2-(hydroxyimino)acetate (Oxyma). To obtain the lipopeptides incorporating the acyl group at the side-chain of a Lys residue, this amino acid was incorporated as Fmoc-Lys(ivDde)-OH. Once peptide chain elongation was completed, the N-terminal Fmoc group was removed. For the synthesis of BP367, BP379 and BP391, the free amino group was derivatized with butanoic, hexanoic or lauric acid, respectively. In the case of the side-chain acylated derivatives, the N-terminal amine was acetylated and, after 1-(4,4-dimethyl-2,6-dioxocyclohex-1-ylidine)-3-methylbutyl (ivDde) group removal, the resulting peptidyl resins were acylated with the corresponding fatty acid. Acidolytic cleavage was performed with trifluoroacetic acid (TFA)/H2O/triisopropylsilane (TIS) and the crude mixtures were purified by reverse phase column chromatography. Lipopeptides were obtained in excellent HPLC purities and were characterized by mass spectrometry.

Antimicrobial activity

Lipopeptides were tested for in vitro growth inhibition of the plant pathogenic bacteria E. amylovora, P. syringae pv. syringae, P. syringae pv. actinidiae, X. arboricola pv. pruni, X. fragariae and X. axonopodis pv. vesicatoria, and the plant pathogenic fungi P. expansum and F. oxysporum, at 0.4, 0.8, 1.6, 3.1, 6.2, 12.5 and 25 μM (Fig 1, Table A in S1 File).

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Fig 1. MICs of the lipopeptides derived from BP100 against the bacteria E. amylovora (Ea), P. syringae pv. syringae (Pss), P. syringae pv. actinidiae (Psa), X. arboricola pv. pruni (Xap), X. fragariae (Xf), and X. axonopodis pv. vesicatoria (Xav), and the fungi P. expansum (Pe) and F. oxysporum (Fo).

The position of the acyl group at the N-terminus is indicated by a N, and the position of the acylated Lys by numbers 1 to 11. The type of the acyl group is depicted as R = COC5H11 (hexanoyl), R = COC3H7 (butanoyl) and R = COC11H23 (lauroyl).

https://doi.org/10.1371/journal.pone.0201571.g001

Lipopeptides showed a high activity, 21 out of 36 sequences displayed MIC < 12.5 μM against all the pathogens tested. X. arboricola pv. pruni, X. fragariae, and X. axonopodis pv. vesicatoria were the most sensitive bacteria towards these compounds. Except for BP386, all compounds were active with MIC < 12.5 μM against these Xanthomonas species. Among them, 14 lipopeptides displayed MIC between 0.7 and 3.1 μM, against two of these three bacteria. These peptides incorporated a butanoyl or a lauroyl chain. Regarding P. syringae pv. syringae and P. syringae pv. actinidiae, 29 and 31 sequences exhibited MIC < 12.5 μM, respectively, displaying 12 of them MIC of 3.1 to 6.2 μM against both bacteria. In this case, lipopeptides bearing a hexanoyl chain were, in general, the most active. E. amylovora was the least sensitive of these bacteria with 24 lipopeptides showing MIC < 12.5 μM from which 17 were active with MIC of 3.1 to 6.2 μM. Against this bacteria, the best peptides bear a hexanoyl or a butanoyl chain.

Concerning the antifungal activity, lipopeptides were considerably more active against F. oxysporum than against P. expansum. A MIC < 12.5 μM was observed for 34 and 20 sequences, respectively. Interestingly, against F. oxysporum 23 lipopeptides showed MIC < 3.1 μM. Among them, 14 peptides displayed MIC of 0.8 to 1.6 μM and 4, MIC of 0.4 to 0.8 μM. In the case of P. expansum, a MIC < 6.2 μM was obtained for 11 sequences. In general, lipopeptides bearing a hexanoyl chain were the most active against both fungi whereas those incorporating a lauroyl group exhibited the highest MIC values.

Hemolytic activity

The toxicity of antimicrobial peptides targeting the bacterial membrane can be assessed with animal cell model systems, being erythrocytes the most commonly used. Thus, the toxicity of lipopeptides to eukaryotic cells was determined as the ability to lyse erythrocytes in comparison to the reference peptide melittin, a well-known hemolytic peptide. Percent hemolysis at a high concentration of 250 μM is shown in Fig 2 and Table B in S1 File.

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Fig 2. Hemolytic activity of the lipopeptides derived from BP100 at 250 μM.

Vertical bars within each column indicate confidence interval at the mean. The position of the acyl group at the N-terminus is indicated by a N, and the position of the acylated Lys by numbers 1 to 11. The type of the acyl group is depicted as R = COC5H11 (hexanoyl), R = COC3H7 (butanoyl) and R = COC11H23 (lauroyl).

https://doi.org/10.1371/journal.pone.0201571.g002

Lipopeptides incorporating a lauroyl group were significantly hemolytic, and all derivatives displayed 100% hemolysis at 250 μM. The lipopeptides acylated with a butanoyl group were slightly less hemolytic than those with a hexanoyl group. Among the former derivatives, 6 peptides showed <50% hemolysis at 250 μM.

Effect on tobacco leaves by infiltration

The effect of the 36 lipopeptides in tobacco leaves was assessed by infiltrating 100 μL of a 50, 150 and 250 μM solution of each compound, into the mesophylls of the tobacco plant leaves (Fig 3). BP100 was also included for comparison purposes, and as a reference control, the nonspecific and nonselective toxic peptide melittin was used. After 48 h of infiltration, a brown necrotic area of 1.1 and 2.3 cm diameter was observed for melittin at 50 and 250 μM, respectively. All lipopeptides had a lower effect than melittin. At 50 μM, all the sequences caused a necrosis ≤ 0.9 cm and for 22 of them the size of the lesions were ≤ 0.6 cm. Sixteen lipopeptides with a necrosis ≤ 1.0 cm at 250 μM were identified. However, for some of the lipopeptides (e.g. BP378, BP400), in contrast to melittin, the reaction observed was not a typical necrosis in the area of infiltration. Moreover, as expected, an increase of the concentration resulted in an increase of the lesion size.

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Fig 3. Effect of the lipopeptides derived from BP100 at 50 and 250 μM on the size of the lesions in infiltrated tobacco leaves.

This effect was compared to melittin. Vertical bars within each column indicate confidence interval at the mean. The position of the acyl group at the N-terminus is indicated by a N, and the position of the acylated Lys by numbers 1 to 11. The type of the acyl group is depicted as R = COC5H11 (hexanoyl), R = COC3H7 (butanoyl) and R = COC11H23 (lauroyl).

https://doi.org/10.1371/journal.pone.0201571.g003

Effect of peptide treatment on induction of defense gene expression of tomato plants

A selection of 9 lipopeptides derived from BP100 were analyzed as potential peptides for inducing the expression of genes related to plant defense responses, such as the salicylic, jasmonic acid and ethylene pathways, and to saline stress and wound damage response (Table 2). The selected lipopeptides display high antimicrobial activity and a different level of hemolysis. Flagellin 15 (flg15), jasmonic acid (JA) and acybenzolar-S-methyl (ASM) were included in this study as positive controls due to their described capacity to enhance the plant immune system [50].

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Table 2. Expression of genes related to defense/stress response in tomato after the treatment with the reference products flagellin 15 (flg15), jasmonic acid (JA), and acybenzolar-S-methyl (ASM), and with BP100 and 9 selected lipopeptides.

Fold induction above 2 is considered overexpression in the relative quantification by the ΔΔCt method. Significant values are indicated in bold.

https://doi.org/10.1371/journal.pone.0201571.t002

Table 2 shows the relative quantification for the level of expression of the selected genes. Results showed that positive controls clearly overexpressed the majority of genes, except for Harp, PR1, GluA and Tas14 for JA; LOX for flg15 and PinII for acybenzolar-S-methyl. Regarding the peptides, genes Harp, PR1, GluA, LOX, Sub1 and ERT3 were not overexpressed by any of them. Genes PinII, Osm2, BCB and Tas14, related with biotic and abiotic stresses, were overexpressed by 3, 3, 2 and 2 peptides, respectively. In particular, BP100 overexpressed the PPO and PinII genes. Among the 9 lipopeptides, none of them caused the overexpression of PPO. BP381, BP385, BP390, and BP400 induced one gene (Osm2, Tas14 or BCB), BP389 overexpressed PinII and BCB, and treatment with BP378 induced PinII, Osm2 and Tas14.

Stability to protease degradation

The susceptibility to proteolysis of 16 selected lipopeptides was analyzed after treatment with proteinase K for 60 min and digestion was monitored by reverse-phase HPLC (Fig 4). BP100 was included in the study for comparison purposes. Among these lipopeptides, 6 sequences displayed a similar stability than BP100 (23–33% degradation) and 4 were more stable than the parent peptide (7–15% degradation).

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Fig 4. Susceptibility of BP100 and selected lipopeptides to proteinase K hydrolysis.

Lipopeptides were treated with proteinase K for 60 min and the percentage of digestion was analyzed by HPLC.

https://doi.org/10.1371/journal.pone.0201571.g004

Discussion

Searching for novel antimicrobial agents, safer and more environmetaly friendly than conventional pesticides, for the control of classical and emerging plant diseases, is an important issue for food security and safety. Functional peptides have been proposed as candidates to develop novel fungicides and bactericides for agriculture [8]. Recent studies have shown that the acylation of a peptide is a strategy that can be useful to obtain sequences with improved biological properties [21,26,2837]. In this regard, we decided to synthesize a group of lipopeptides based on the lead peptide BP100.

The length of the hydrophobic chain has been reported to influence the antimicrobial activity of lipopeptides [10,19,21,22,3437]. It has been shown that, in general, the presence of acyl chains containing 8 to 16 carbons endow peptides with good antimicrobial properties. In contrast to these reports, our studies on cyclic lipopeptides revealed that the incorporation of a long hydrophobic chain prompted a decrease of the activity. In particular, the most active cyclic lipopeptides were those bearing acyl substituents of 4 to 9 carbon atoms. Similarly, in the present work, lipopeptides containing a butanoyl or a hexanoyl chain exhibited the highest activity against all the pathogens tested.

In the present study a different level of sensitivity of bacteria and fungi to lipopeptides was detected which depended on the type of acyl chain. In the case of bacteria, and similarly to previous results, Xanthomonas species were the most sensitive to linear undecapeptides whereas E. amylovora was the least [10,11,42,51]. Moreover, the presence of a lauroyl or a butanoyl chain is preferred for activity against Xanthomonas species, hexanoyl-derivatized peptides were the most active against Pseudomonas species, and both butanoyl and hexanoyl groups endowed peptides with high activity against E. amylovora. Regarding fungi, F. oxysporum was most sensitive than P. expansum, being the presence of a hexanoyl chain associated with the highest antifungal activity. This distinct susceptibility of bacteria and fungi to a given peptide has been attributed to the different composition of their membranes that could lead to a different peptide binding [10,11,42,51].

The position of the fatty acid chain in the peptide sequence also influenced the antimicrobial activity. Best lipopeptides against Xanthomonas species contained the acyl chain at positions 2, 8 or 10, while for Pseudomonas species and E. amylovora the preferred positions were 8 and 11, respectively. In contrast, no clear relationship was observed between the position of the acyl group and the antifungal activity.

The lipopeptide cytotoxicity against red blood cells also depended on the fatty acid length and its position. The incorporation of the 12-carbon atom lauroyl group resulted in the most hemolytic peptides, and butanoyl-derivatized sequences were slightly less hemolytic than the hexanoyl ones. These results are in agreement with previous studies revealing that the incorporation of a long hydrophobic chain, which leads to an increase of the peptide hydrophobicity, is associated with an increase of the hemolysis [10,52,53]. Regarding the position of the acyl chain, in general, lipopeptides containing this acyl group at the N-terminus domain (positions 1 to 6) are more hemolytic than the C-terminal acylated derivatives (positions 7 to 11).

Lipopeptides were less phytotoxic than melittin at concentrations up to 16 to 80 fold higher than the MIC. Other lipopeptides, such as cyclolipopeptides and ultrashort cationic lipopeptides, were also described to be low phytotoxic [10,41]. Moreover, no correlation between the length or the position of the hydrophobic chain and the phytotoxicity was observed. It should be noticed that the lesions observed upon infiltration into the leaf mesophyll might be due to either phytotoxicity or to a programmed cell death like hypersensitivity reaction [47]. The differentiation of both effects would require additional studies.

Compared to the reference compounds flagellin 15, jasmonic acid and acybenzolar-S-methyl, the lipopeptides of the present study had a very slight effect of induction of defense-related genes in tomato. Only peptides BP378 and BP389 significantly induced the expression of 3 and 2 genes, respectively. Therefore, this result suggests that the incorporation of an acyl group does not affect the overexpression of defense related genes, because these lipopeptides had a similar effect than BP100. This fact contrasts with the plant defence elicitation reported for other lipopeptides [54].

Based on the present study, lipopeptides with the best biological activity profile were BP370, BP378, BP381, BP387 and BP389 which bear a butanoyl or a hexanoyl chain (Table 3). These peptides were highly active against all the pathogens tested with MIC of 0.8 to 12.5 μM, and were low hemolytic and low phytotoxic. Among them, BP378 induced the overexpression of three defense-related genes. BP381 and BP387 were more active than the parent peptide BP100 against X. fragariae, X. axonopodis pv. vesicatoria and P. expansum, and the latter peptide was more stable than BP100 (15 vs. 24% degradation). Notably, BP389 displayed higher activity than BP100 against the three Xanthomonas species and P. expansum and showed a similar proteolytic stability than BP100 (29 vs. 24% degradation).

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Table 3. Lipopeptides with the best biological activity profile.

https://doi.org/10.1371/journal.pone.0201571.t003

Conclusions

The incorporation of an acyl group into the linear undecapeptide BP100 rendered lipopeptides with an improved biological activity profile. These lipopeptides showed high antimicrobial activity against plant pathogenic bacteria and fungi, displayed different degrees of hemolysis and phytotoxicity, and were significantly stable to protease degradation. Moreover, the acylation did not affect the overexpression of plant defense-related genes in the tomato model plant. Therefore, lipopeptides offer great expectations for developing a wide range of selective functional peptides for plant protection.

Supporting information

S1 File.

Table A in S1 File. Antimicrobial activity (MIC) of the linear lipopeptides against six plant pathogenic bacteria and two fungi. Table B in S1 File. Hemolytic activity of the linear lipopeptides. S1 File also includes the synthesis and characterization of the lipopeptides.

https://doi.org/10.1371/journal.pone.0201571.s001

(DOCX)

References

  1. 1. Agrios GN. Plant pathology, 5th ed.; Academic Press: San Diego, California, 2005.
  2. 2. Vidaver AK. Uses of antimicrobials in plant agriculture. Clin Infect Dis. 2002; 34: S107–110. pmid:11988880
  3. 3. Mansfield J, Genin S, Magori S, Citovsky V, Sriariyanum M, Ronald P, et al. Top 10 plant pathogenic bacteria in molecular plant pathology. Mol Plant Pathol. 2012; 13: 614–629. pmid:22672649
  4. 4. Montesinos E, Badosa E, Cabrefiga J, Planas M, Feliu L, Bardají E. Antimicrobial peptides for plant disease control. From discovery to application. In: Rajasekaran K., Cary J. W., Jaynes J. M. and Montesinos E., Eds., Small wonders: Peptides for disease control, ACS Symposium Series; American Chemical Society: Washington D. C., 2012, pp. 235–262.
  5. 5. McManus PS, Stockwell VO, Sundin VO, Jones AL. Antibiotic use in plant agriculture. Annu Rev Phytopathol. 2002; 46: 443–465.
  6. 6. Sundin GW, Bender CL. Ecological and genetic analysis of copper and streptomycin resistance in Pseudomonas syringae pv. syringae. Appl Environ Microbiol. 1993; 59: 1018–1024. pmid:8476279
  7. 7. Montesinos E. Antimicrobial peptides and plant disease control. FEMS Microbiol Lett. 2007; 270: 1–11. pmid:17371298
  8. 8. Rajasekaran K, Cary JW, Jaynes JM, Montesinos E, Eds. Small wonders: Peptides for disease control, ACS Symposium Series; American Chemical Society: Washington D. C., 2012.
  9. 9. Ng-Choi I, Soler M, Güell I, Badosa E, Cabrefiga J, Bardají E, et al. Antimicrobial peptides incorporating non-natural amino acids as agents for plant protection. Protein Pept Lett. 2014; 21: 357–367. pmid:24164267
  10. 10. Vilà S, Badosa E, Montesinos E, Planas M, Feliu L. Synthetic cyclolipopeptides selective agaisnt microbial, plant and animal cell targets by incorporation of D-amino acids or histidine. PLoS ONE. 2016; 11: e0151639. pmid:27008420
  11. 11. Güell I, Vilà S, Badosa E, Montesinos E, Feliu L, Planas M. Design, synthesis, and biological evaluation of cyclic peptidotriazoles derived from BPC194 as novel agents for plant protection. Peptide Science. 2017; 108: e23012. pmid:28026016
  12. 12. Camó C, Torné M, Besalú E, Rosés C, Cirac AD, Moiset G, et al. Tryptophan-containing cyclic decapeptides with activity against plant pathogenic bacteria. Molecules. 2017; 22: 1817. pmid:29072606
  13. 13. Meena KR, Kanwar SS. Lipopeptides as the antifungal and antibacterial agents: Applications in food safety and therapeutics. BioMed Res Int. 2015.
  14. 14. Falardeau J, Wise C, Novitsky L, Avis TJ. Ecological and mechanistic insights into the direct and indirect antimicrobial properties of Bacillus subtilis lipopeptides on plant pathogens. J Chem Ecol. 2013; 39: 869–878. pmid:23888387
  15. 15. Ongena M, Jacques P. Bacillus lipopeptides: versatile weapons for plant disease biocontrol. Trends Microbiol. 2008; 16: 115–125. pmid:18289856
  16. 16. Raaijmakers JM, de Bruijn I, Nybroe O, Ongena M. Natural functions of lipopeptides from Bacillus and Pseudomonas: more than surfactants and antibiotics. FEMS Microbiol Rev. 2010; 34: 1037–1062. pmid:20412310
  17. 17. Cochrane SA, Vederas J. Lipopeptides from Bacillus and Paenibacillus spp.: a gold mine of antibiotics candidates. Med Res Rev. 2016; 36: 4–31. pmid:24866700
  18. 18. Patel S, Ahmed S, Eswari JS. Therapeutic cyclic lipopeptides mining from microbes: latest strides and hurdles. World J Microbiol Biotechnol. 2015; 31: 1177–1193. pmid:26041368
  19. 19. Mandal SM, Barbosa AEAD, Franco OL. Lipopeptides in microbial infection control: scope and reality for industry. Biotechnol Adv. 2013; 31: 338–345. pmid:23318669
  20. 20. Strieker M, Marahiel MA. The structural diversity of acidic lipopeptide antibiotics. ChemBioChem. 2009; 10: 607–617. pmid:19156787
  21. 21. Jerala R. Synthetic lipopeptides: a novel class of anti-infectives. Expert Opin Investig Drugs. 2007; 16: 1159–1169. pmid:17685866
  22. 22. Mangoni ML, Shai Y. Short native antimicrobial peptides and engineered ultrashort lipopeptides: similarities and differences in cell specificities and modes of action. Cell Mol Life Sci. 2011; 68: 2267–2280. pmid:21573781
  23. 23. Bionda N, Fleeman RM, de la Fuente-Núñez C, Rodríguez MC, Reffuveille F, Shaw LN, et al. Identification of novel cyclic lipopeptides from a positional scanning combinatorial library with enhanced antibacterial and antibiofilm activities. Eur J Med Chem. 2016; 108: 354–363. pmid:26703794
  24. 24. Schmidtchen A, Pasupuleti M, Malmsten M. Effect of hydrophobic modifications in antimicrobial peptides. Adv Colloid Interface Sci. 2014; 205: 265–274. pmid:23910480
  25. 25. Malmsten M. Interactions of antimicrobial peptides with bacterial membranes and membrane components. Curr Top Med Chem. 2016; 16: 16–24. pmid:26139113
  26. 26. Shai Y, Makovitzky A, Avrahami D. Host defense peptides and lipopeptides: modes of action and potential candidates for the treatment of bacterial and fungal infections. Curr Protein Pept Sci. 2006; 7: 479–486. pmid:17168781
  27. 27. Straus SK, Hancock REW. Mode of action of the new antibiotic for Gram-positive pathogens daptomycin: comparison with cationic antimicrobial peptides and lipopeptides. Biochim Biophys Acta. 2006; 1758: 1215–1223. pmid:16615993
  28. 28. Chu-Kung AF, Bozzelli KN, Lockwood NA, Haseman JR, Mayo KH, Tirrell MV. Promotion of peptide antimicrobial activity by fatty acid conjugation. Bioconjugate Chem. 2004; 15: 530–535. pmid:15149180
  29. 29. Thennarasu S, Lee DK, Tan A, Prasad Kari U, Ramamoorthy A. Antimicrobial activity and membrane selective interactions of a synthetic lipopeptide MSI-843. Biochim Biophys Acta. 2005; 1711: 49–58. pmid:15904663
  30. 30. Lohan S, Cameotra SS, Bisht GS. Systematic study of non-natural short cationic lipopeptides as novel broad-spectrum antimicrobial agents. Chem Biol Drug Des. 2013; 82, 557–566. pmid:23819506
  31. 31. Slootweg JC, van Schaik TB, van Ufford HCQ, Breukink E, Liskamp RM, Rijkers DTS. Improving the biological activity of the antimicrobial peptide anoplin by membrane anchoring through a lipophilic amino acid derivative. Bioorg Med Chem Lett. 2013; 23: 3749–3752. pmid:23719232
  32. 32. Húmpola MV, Rey MC, Carballeira NM, Simonetta AC, Tonarelli GG. Biological and structural effects of the conjugation of an antimicrobial decapeptide with saturated, unsaturated, methoxylated and branched fatty acids. J Pept Sci. 2017; 23: 45–55. pmid:28025839
  33. 33. Bionda N, Fleeman RM, de la Fuente-Núñez C, Rodríguez MC, Reffuveille F, Shaw LN, et al. Identification of novel cyclic lipopeptides from a positional scanning combinatorial library with enhanced antibacterial and antibiofilm activities. Eur J Med Chem. 2016; 27: 354–363.
  34. 34. Malina A, Shai Y. Conjugation of fatty acids with different lengths modulates the antibacterial and antifungal activity of a cationic biologically inactive peptide. Biochem J. 2005; 390: 695–702. pmid:15907192
  35. 35. Makovitzki A, Avrahamai D, Shai Y. Ultrashort antibacterial and antifungal lipopeptides. Proc Natl Acad Sci USA. 2006; 103: 15997–16002. pmid:17038500
  36. 36. Laverty G, McLaughlin M, Shaw C, Gorman SP, Gilmore BF. Antimicrobial activity of short, synthetic cationic lipopeptides. Chem Biol Drug Des. 2010; 75: 563–569. pmid:20374251
  37. 37. Avrahamai D, Shai Y. Bestowing antifungal and antibacterial activities by lipophilic acid conjugation to D,L-amino acid-containing antimicrobial peptides: a plausible mode of action. Biochemistry 2003; 42: 14946–14956. pmid:14674771
  38. 38. Goodwin D, Simerska P, Toth I. Peptides as therapeutics with enhanced bioactivity. Curr Med Chem. 2012; 19: 4451–4461. pmid:22830348
  39. 39. Dalbøge LS, Pedersen SL, van Witteloostuijn SB, Rasmussen JE, Rigbolt KTG, Jensen KJ, et al. Synthesis and evaluation of novel lipidated neuromedin U analogs with increased stability and effects on food intake. J Pept Sci. 2015; 21: 85–94. pmid:25521062
  40. 40. Guryanov I, Bondesan A, Visentini D, Orlandin A, Biondi B, Toniolo C, et al. Innovative chemical synthesis and conformational hints on the lipopeptide liraglutide. J Pept Sci. 2016; 22: 471–479. pmid:27238390
  41. 41. Makovitzki A, Viterbo A, Brotman Y, Chet I, Shai Y. Inhibition of fungal and bacterial plant pathogens in vitro and in planta with ultrashort cationic lipopeptides. Appl Environ Microbiol. 2007; 73: 6629–6636. pmid:17720828
  42. 42. Badosa E, Ferre R, Planas M, Feliu L, Besalú E, Cabrefiga J, et al. A library of linear undecapeptides with bactericidal activity against phytopathogenic bacteria. Peptides. 2007; 28: 2276–2285. pmid:17980935
  43. 43. Badosa E, Ferre R, Francés J, Bardají E, Feliu L, Planas M, et al. Sporicidal activity of synthetic antifungal undecapeptides and control of Penicillium rot of apples. Appl Environ Microbiol. 2009; 75: 5563–5569. pmid:19617390
  44. 44. Badosa E, Montesinos L, Camó C, Ruz L, Cabrefiga J, Francés J, et al. Control of fire blight infections with synthetic peptides that elicit plant defense responses. J Plant Pathol. 2017; 99 (Special Issue): 65–73.
  45. 45. Kaiser E, Colescott RL, Bossinger CD, Cook P. Color test for detection of free terminal amino groups in the solid-phase synthesis of peptides. Anal Biochem. 1970; 34: 595–598. pmid:5443684
  46. 46. Hazel WJ, Civerolo EL. Procedures for growth and inoculation of Xanthomonas fragariae, causal organism of angular leaf spot of strawberry. Plant Dis. 1980; 64, 178–181.
  47. 47. Badosa E, Moiset G, Montesinos L, Talleda M, Bardají E, Feliu L, et al. Derivatives of the antimicrobial peptide BP100 for expression in plant systems. PLoS ONE. 2013; 8: e85515. pmid:24376887
  48. 48. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method. Methods. 2001; 25: 402–408. pmid:11846609
  49. 49. Pfaffl MW, Horgan GW, Dempfle L. Relative expression software tool (REST) for group-wise comparison and statistical analysis of relative expression results in real-time PCR. Nucleic Acids Res. 2002; 30: e36. pmid:11972351
  50. 50. Bektas Y, Eulgem T. Synthetic plant defense elicitors. Front Plant Sci. 2015; 5: 804. pmid:25674095
  51. 51. Monroc S, Badosa E, Besalú E, Planas M, Bardají E, Montesinos E, et al. Improvement of cyclic decapeptides against plant pathogenic bacteria using a combinatorial chemistry approach. Peptides. 2006; 27: 2575–2584. pmid:16762457
  52. 52. Blondelle SE, Lohner K. Combinatorial libraries: a tool to design antimicrobial and antifungal peptide analogues having lytic specificities for structure-activity relationship studies. Biopolymers. 2000; 55: 74–87. pmid:10931443
  53. 53. Oh D, Shin SY, Lee S, Kang JH, Kim SD, Ryu PD, et al. Role of the hinge region and the tryptophan residue in the synthetic antimicrobial peptides, cecropin A(1–8)-magainin 2(1–12) and its analogues, on their antibiotic activities and structures. Biochemistry. 2000; 39: 11855–11864. pmid:11009597
  54. 54. Brotman Y, Makovitzki A, Shai Y, Chet I, Viterbo A. Synthetic ultrashort cationic lipopeptides induce systemic plant defense responses against bacterial and fungal pathogens. Appl Environ Microbiol. 2009; 75: 5373–5379. pmid:19542326