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Antimicrobial Agents and Chemotherapy, October 2005, p. 4085-4092, Vol. 49, No. 10
0066-4804/05/$08.00+0 doi:10.1128/AAC.49.10.4085-4092.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
UNESCO Associated Centre for Macromolecules, Department of Chemistry, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa,1 BIOPEP Peptide Group, Department of Biochemistry, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa2
Received 17 February 2005/ Returned for modification 18 March 2005/ Accepted 20 June 2005
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-helical antimicrobial peptides with markedly different sequential distributions of polar and nonpolar amino acids. However, all three peptides are amphipathic and highly membranolytic, with PGLa and magainin 2 having a better selectivity, via electrostatic discrimination, toward prokaryotic cells (13, 22) than the hemolytic melittin (which is a nonselective lytic peptide). Model membrane studies have provided a good understanding of antimicrobial peptides and their mechanisms of action. Different models for the interaction of a peptide with the bacterial membrane have been proposed: the barrel stave model (2), the toroidal pore or wormhole model (5, 31), the carpet model (23), and the peptide aggregate model (19, 30). Most antimicrobial peptides are thought to follow the toroidal pore model and/or carpet model and not the barrel stave model, in which the peptides in the pore need to span the membrane without deformation of the lipid bilayer. Peptides that form toroidal pores remain associated with the phospholipid head groups and insert perpendicularly to the membrane plane by causing the lipid bilayer to fold back on itself. It has been proposed that both melittin (31) and magainin (16, 20) form this type of lytic pore. A second proposal for the mechanism of action of magainin has been the carpet model (23), where peptides cover the membrane like a carpet and remain in a parallel or a surface state. With this model the destruction of the bilayer occurs by the formation of toroidal pores, micelles, and vesicles. At this stage no clear mode of action has been proposed for PGLa, but it is possible that it also follows the toroidal pore model. The aggregate model proposes that micelle-like aggregates of peptides form in the membrane. This disrupts the membrane's permeability and may eventually lead to cell lysis (19, 30). All of these models have been proposed from model membrane studies, which are limited by the absence of many of the biological features found in natural membranes, which, in turn, may influence the interaction with antimicrobial peptides.
In this study, atomic force microscopy (AFM) was used for the analysis of the membranolytic effects in the mechanisms of action of the three antimicrobial peptides by using E. coli cells as the live bacterial target. The main advantage of AFM is the possibility of visualization of live cells in situ, which makes it a powerful and very useful technique for the study of the mechanisms of action of antimicrobial peptides on bacterial target cells. Only a few AFM studies have been done on the effect of membrane-active compounds on bacteria, but none of these have addressed the effects of antimicrobial peptides on bacterial surfaces. Braga and Ricci (4) studied the surface alterations of E. coli induced by different concentrations of the beta-lactam antibiotic cefodizime by AFM. They found different forms of cell damage, ranging from the formation of holes in the outer membrane to complete lysis of the bacterium. The effect of rare earth metals, such as La3+, on E. coli was observed by Liu et al. (15). They also observed substantial surface alterations caused by the replacement of Ca2+ with La3+, which led to damage of the cell's outer membrane. Sharma et al. (26) reported on the alterations (a considerable increase in surface corrugation [roughness] and cell lysis) of the cell morphology of E. coli after treatment with RISUG (reversible inhibition of sperm under guidance), a polymeric drug with antimicrobial properties. This paper presents the first report on visualization of the influence of antimicrobial peptides on a bacterium by AFM.
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Preparation of bacterial cells. A culture of E. coli HB101 was grown overnight at 37°C in nutrient-rich medium, Bacto tryptone soy broth, to late mid-log phase (0.85 ± 0.1 optical density units at 620 nm). The cells in 1.0 ml culture were isolated by centrifugation (1 min in a Pico-Fuge) and washed twice with 1 volume of sterile analytical-grade water. Afterwards, the cells were gently resuspended in water. A small volume of peptide was added to the cells to yield a 25% ± 5% (low peptide concentration) or a 70% ± 10% (high peptide concentration) decrease in the original optical density. The high concentration was thus in effect above the concentration that would cause 50% lysis (50% lethal concentration [LC50]) of the target cell and the low concentration was less than the LC50. The control samples were not treated with peptide.
For AFM analysis the samples were applied on a freshly cleaved mica surface and allowed to dry for about 5 min before imaging. To determine the effect of the peptide on the cell membrane and to ensure that the imaged damage was really due to the peptide, an average of five individual bacterial cells was imaged for every peptide concentration. Analysis was also done with duplicate cultures for each peptide.
The peptide-treated samples were imaged within 30 min after addition of the peptide. In order to locate the bacteria on the substrate, a built-in microscope with a x300 magnification was used. The images were obtained in air and in tapping mode by using a multimode AFM from Veeco with a scanner with a maximum scan range of 10 by 10 µm. All images were obtained with a scan speed of 0.7 Hz and a resolution of 512 by 512 pixels. A silicon noncontact low-resonance-frequency cantilever from Nanosensors with a resonance frequency of about 160 kHz and a spring constant of about 50 N/m was used. Every scan resulted in a topography image and a phase image, which were acquired simultaneously. Height and size information were acquired with the imaging software from Veeco. The average surface roughness (Ra) was calculated as the arithmetic average of the absolute values of the surface height deviations measured from the plane: Ra = 1/n
i = 1n|Zi|, where n is the number of measurements (numbered from i = 1 to i = n) and Z is the height measurement. The height scale is given for each topology image; and the height is depicted as shades of gray, with white being nearest the tip and black being the farthest away in the topology image. An elasticity (or rigidity) scale is given for each phase image; and elasticity is depicted as shades of gray, with white being the most elastic and black being the most rigid.
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FIG. 1. (A) Topography images and (B) phase images of an untreated E. coli cell; (C) magnification of the surface. The color z scale ranges from 0 to 1 µm in panel A and from 0 to 90° in panel B.
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Melittin at a concentration less than its LC50 induced structural changes in the bacterial cell wall. This resulted in the formation of grooves and pore-like lesions as well as the collapse of the cell structure at the apical ends. Figure 2A and B shows the topography and phase images of an E. coli cell treated with melittin at a concentration less than its LC50. Both apical ends are collapsed and flattened, with the one end being more elastic or consisting of softer structures (see the encircled white area in Fig. 2B). Apart from the lesions, a large amount of released vesicles or peptide aggregates (which may include lipopolysaccharide [LPS] and membrane-associated compounds) with a diameter of 49.2 ± 10.9 nm are clearly visible around the cell in the phase image (Fig. 2B). Figure 2C is a magnification of a part of the cell surface. It shows pore-like lesions (65.7 ± 7.9 nm) and grooves (dark areas) on the surface. The surface corrugation was increased to 3.7 ± 1.43 nm (a >150% increase). As expected, a concentration of melittin greater than the LC50 leads to even greater cell damage of the E. coli cell, as is evident in the topography and phase images in Fig. 3A and B. In addition to a collapse of the apical ends, the outer membrane showed severe damage with large lesions of 87.5 ± 12.9 nm in diameter (Fig. 3C is a magnification of the cell surface). In both the topology and the phase images (Fig. 3A and B, respectively), the leakage of a substantial amount of fluid during the drying process is indicated by the "ring" around the cell. The "ring" phenomena around the cells were observed for a number of peptide-damaged cells. AFM images of droplets containing biological salts and small compounds show similar ring shapes after drying. Furthermore, the phase-contrast image of the visualized cell revealed possible blebbing at one of the apical ends (encircled in Fig. 3B). We found similar protrusions for E. coli cells treated with melittin in an earlier AFM study with a lower-resolution AFM instrument. The surface corrugation also increased to 7.72 ± 5.1 nm (a >300% increase), indicating a pronounced cell surface perturbation.
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FIG. 2. (A) Topography image and (B) phase image of an E. coli cell treated with melittin at a concentration less than the LC50; (C) magnification of the surface. The z scale ranges from 0 to 1.2 µm in panel A and from 0 to 50° in panel B. See the text for an explanation of the encircled area.
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FIG. 3. (A) Topography image and (B) phase image of an E. coli cell treated with melittin at a concentration greater than the LC50; (C) magnification of the surface. The z scale ranges from 0 to 0.8 µm in panel A and from 0 to 30° in panel B. See the text for an explanation of the encircled area.
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FIG. 4. (A) Topography image and (B) phase image of an E. coli cell treated with Mag 2a at a concentration less than the LC50; (C) magnification of the surface. The z scale ranges from 0 to 0.8 µm in A and from 0 to 90° in panel B. See the text for an explanation of the encircled areas.
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FIG. 5. (A) Topography image and (B) phase image of an E. coli cell treated with Mag 2a at a concentration greater than the LC50; (C) magnification of the surface; (D) phase image of the magnified surface. The z scale ranges from 0 to 0.8 µm in panel A and from 0 to 80° in panel B. See the text for an explanation of the encircled area.
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FIG. 6. (A) Topography image and (B) phase image of two E. coli cells treated with PGLa at a concentration less than the LC50; (C) magnification of the surface. The z scale ranges from 0 to 0.8 µm in panel A and from 0 to 70° in panel B.
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FIG. 7. (A) Topography image and (B) phase image of an E. coli cell treated with PGLa at a concentration greater than the LC50; (C) magnification of the surface. The z scale ranges from 0 to 0.8 µm in panel A and from 0 to 120° in panel B. See text for explanation on encircled areas.
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All the peptides caused an increase in surface roughness and lesions in the bacterial cell wall as a result of peptide treatment, with Mag 2a and melittin causing greater increases than PGLa. The increase in surface roughness may have been caused by peptide incorporation into the LPS-containing outer membrane (7, 17), causing a "crumpling" effect due to an increase in surface area. The lesions may have been caused by either peptide aggregates (19, 30), the release of LPS-containing vesicles (17), or even autolytic reactions (1, 9).. It has been shown by Matsuzaki et al. (17) that an analogue of magainin 2 preferentially interacted with LPS-containing vesicles rather than phosphatidylcholine-containing vesicles. Our AFM results clearly show that the LPS-rich outer membrane of the gram-negative bacterium E. coli is an important target for antimicrobial peptides. Our results therefore also support the finding of Ding et al. (7) that magainin has a transmembrane penetrating ability in LPS bilayers. The damage to the outer membrane may in turn improve the uptake of peptide to the highly sensitive inner membrane (self-promoted uptake). Damage to the inner membrane will lead to leakage of the cytosol and eventual lysis and cell death.
Many of our phase-contrast images showed softer and more elastic structures at one or both of the apical ends (see the encircled white areas in Fig. 2B, 3B, 4B, and 7B). This indicates either a protrusion of the softer, more elastic inner membrane through lesions in the more rigid peptidoglycan layer or an accumulation of aggregates and/or vesicles at the apical end (Fig. 2B). All three peptides tended to induce the most damage at the apical ends of the cells. This result corresponds well with the results from an experiment with a cardiolipin-specific fluorescent dye where domains of cardiolipin (a negative phospholipid) were located, apart from at the septal regions, at the apical ends of the E. coli inner membrane (21). The three peptides evaluated in our study are highly cationic and have a higher affinity for negative phospholipids than for neutral phospholipids (13, 22). Therefore, it is possible that a higher concentration of peptide will be trapped at the apical ends. The damage at the apical ends is probably the consequence of inner membrane damage rather than outer membrane damage.
Apart from the similarities discussed above, the overall effects of the three peptides on the cell envelope and the cell were observed to be different in some aspects. Melittin caused large lesions in the cell envelope and also pronounced leakage of cytosolic fluid, which indicates damage to the inner membrane. If the lesions and released vesicles (or membrane component-peptide aggregates) are an indication of melittin's mechanism of action on the outer membrane, these results suggest that melittin utilized a carpet (23) or micelle-aggregate (19, 30) mechanism (both of which are detergent-like) on the negative LPS-containing outer membrane. Ladokhin and White (14) as well as Papo and Shai (24) suggested that melittin permeabilized anionic lipid vesicles in a "detergent-like" fashion. However, it is not clear which part of the damaged cell, the inner membrane or the outer membrane, plays the most important role in the eventual lytic action of melittin.
It was clearly demonstrated by our AFM results that Mag 2a causes pronounced vesiculation of the outer membrane. In particular, the almost 100% decrease in surface roughness from the low to high Mag 2a concentrations and the exposure of rigid areas in the cell wall (Fig. 5) indicated that some components were released from the cell envelope, possibly by vesiculation. This strongly indicates carpeting of the outer LPS-containing membrane (and vesicle release), as suggested by Oren and Shai (23) from their studies with model membranes.
The mechanism of action of PGLa is still unclear, but it does correlate somewhat with that of magainin in the way in which it promotes the formation of small outer membrane protovesicles. However, although PGLa also caused a positive increase in the curvature of the outer membrane (protovesicles), the higher PGLa concentrations did not cause a massive release of vesicles like that seen with magainin 2a. The fact that the cell surface roughness increase was much less with PGLa than with the other two peptides may point to limited carpeting and surface expansion but a sufficient interaction with the outer membrane so that small lesions are formed. These lesions could be the gateway to the self-promoted uptake of the highly active PGLa to the more sensitive inner membrane.
Conclusion. This is the first visual demonstration of the actual effect of antimicrobial peptides on living bacterial cells. In summary, the results from this AFM study proved that it is possible to distinguish between the types of damage to the outer membrane of gram-negative bacterial cells caused by different peptides.
The BIOPEP Peptide Group, the National Research Foundation (NRF), and the Technology and Human Resources for Industry Programme (THRIP) of South Africa provided funding for this project.
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