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Environmental Microbiology

Improved Bacterial Detection Using Immobilized Acyl-Lysyl Oligomers

Ibrahim Marjieh, Ohad Meir, Fadia Zaknoon, Amram Mor
G. T. Macfarlane, Editor
Ibrahim Marjieh
Department of Biotechnology and Food Engineering, Technion—Israel Institute of Technology, Haifa, Israel
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Ohad Meir
Department of Biotechnology and Food Engineering, Technion—Israel Institute of Technology, Haifa, Israel
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Fadia Zaknoon
Department of Biotechnology and Food Engineering, Technion—Israel Institute of Technology, Haifa, Israel
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Amram Mor
Department of Biotechnology and Food Engineering, Technion—Israel Institute of Technology, Haifa, Israel
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G. T. Macfarlane
Roles: Editor
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DOI: 10.1128/AEM.02537-14
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ABSTRACT

The global need to improve bacterial detection in liquid media has motivated multidisciplinary research efforts toward developing new approaches that overcome the shortcomings of traditional techniques. We recently proposed the use of oligomers of acylated lysyls (OAKs) in their resin-linked form (ROAKs) for the efficient, robust, and inexpensive filtration of bacteria. Here, to investigate the potential for the use of ROAKs in downstream applications, we first examined the capacity of ROAKs to capture bacteria as a function of environmental conditions and structure-activity relationships (SARs). We next assessed their ability to release the captured bacteria and then combined both abilities to improve real-time PCR outcomes. ROAKs were able to deplete liquid samples of bacterial content after incubation or continuous flow, illustrating the efficient capture of different bacterial species under a wide range of ionic strength and pH conditions. We also show circumstances for the significant release of captured bacteria, live or dead, for further analysis. Finally, the SAR study revealed a shorter ROAK derivative exhibiting a capture capacity similar to that of the parent construct but the increased recovery of ROAK-bound bacteria, enabling improvement of the detection sensitivity by 20-fold. Collectively, the data support the potential usefulness of a simple, robust, and efficient approach for rapid capture/analysis of bacteria from tap water and, possibly, from more complex media.

INTRODUCTION

To address the growing global need for improved rapid detection of pathogenic bacteria, various modern techniques have been developed to overcome the shortcomings of traditional microbiological and biochemical assays, including sensitivity, efficiency, and reliability (1–3). Alongside these advantages, however, modern tools, such as real-time PCR and immunoanalytical methods, also present limitations that may include complexity, requirement for prior knowledge, the limited ability of specific reagents to recognize new emerging pathogens, and/or development cost issues that prevent quick, on-site assays (4, 5). There is thus a clear need for improved tools that address these inherent limitations.

Analyses with antimicrobial peptides (AMPs) are among a few promising approaches that have been proposed for the multitargeted detection of bacteria, as AMPs offer broad-spectrum efficacy and have relatively simple chemical structures (6–8). These ubiquitous small molecules (9–11) are well-known for their activities against bacteria (12, 13), viruses (14), fungi (15), and protozoa (16). Consequently, AMPs have been considered a potential source for new therapeutics (17) but also for applications that exploit their intrinsic high affinity for microbes and, more specifically, for the microbial cell membrane(s) (18, 19). Although not fully understood, the interaction of AMPs with microbial membranes includes an initial strong electrostatic attraction step between the cationic peptide and negatively charged superficial microbial components, namely, the lipoteichoic acids (LTAs) of Gram-positive bacteria (20, 21) and lipopolysaccharides (LPSs) of Gram-negative bacteria (22, 23). While this interaction was extensively investigated and believed to lead to a host of cytotoxic mechanisms, AMPs were also suggested to be useful as recognition molecules for bacterial detection, both in vitro and in vivo, using radioactive or fluorescent labels (6, 24). Recent approaches have further attempted to exploit AMPs as capture molecules (25, 26), enabling multitarget detection, as opposed to target-specific detection in antibody-based assays (7). Another approach proposed the use of simple but robust synthetic constructs that mimic the structure and activity of AMPs for efficient bacterial capture in aqueous samples (27). The recent literature provides quite a rich report on various peptidomimetic strategies that well address some of the main drawbacks of AMPs, including protease sensitivity and production costs (28, 29), with their design being inspired from the structural and chemophysical attributes of natural AMPs (i.e., structure, charge, hydrophobicity, and amphipathic organization) (30, 31).

Oligomers of acylated lysyls (OAKs) represent a family of such synthetic mimics of antimicrobial peptides which exhibit a high affinity for the surface components of various bacteria (32, 33). The study that initially investigated the immobilization of an OAK on a polystyrene resin and its subsequent use for bacterial capture (depicted in Fig. 1) reported the ability of such a resin-linked OAK (ROAK) to sequester a broad spectrum of bacterial species (27). That study focused on a particular ROAK, constructed with the sequence K-7α12 (where α12 represents an aminododecanoyl-lysyl subunit) (Table 1), whose capture activity was suggested to depend on both charge and hydrophobicity attributes. The rapid and efficient bacterial capture of both Gram-negative bacteria (Escherichia coli, Vibrio cholera) and Gram-positive bacteria (Staphylococcus aureus, Enterococcus faecalis) by that ROAK was demonstrated. Hence, available preliminary data suggest that the ROAK approach might be useful for the separation/concentration of microbial cells from large volumes of samples, thereby providing advantages over current methods, such as robustness, simplicity, and usefulness, as a device to capture a broad spectrum of microbes (1).

FIG 1
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FIG 1

ROAK structural organization. Shown is the general molecular formula of an acyl-lysyl oligomer composed of an N-terminal lysine followed by a number (n) of α12 subunits.

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TABLE 1

OAK sequences used for the SAR study and their bacterial capture efficacya

The aim of this study was to verify such a potential. Thus, after validating the aforementioned preliminary observations under stringent conditions, the investigation was extended to include a structure-activity relationship (SAR) study with the aim of improving the system's attributes, including the release of the captured bacteria for potential downstream applications, such as a concentration method to enhance the sensitivity of bacterial detection.

MATERIALS AND METHODS

ROAK preparation.ROAKs were synthesized by the solid-phase method (34) by using 4-methylbenzhydrylamine resin (Sigma-Aldrich) and applying N-(9-fluorenyl)methoxy-carbonyl (Fmoc) active ester chemistry on a 433A peptide synthesizer (Applied Biosystems). OAK sequences obtained after cleavage of an aliquot were verified postsynthesis, followed by ultraperformance liquid chromatography-mass spectrometry analysis (Xevo G2 Tof/Acquity; Waters). ROAK deprotection was achieved by incubation in dichloromethane-trifluoroacetic acid (50:50) for up to 15 min at room temperature, after which the resin was washed twice with dichloromethane and twice with ethanol, lyophilized for 3 h, and stored at −20°C. Prior to use, the ROAK beads were routinely washed with ethanol (70%) and saline (0.85% NaCl).

Bacteria.The bacteria tested were Escherichia coli ATCC 35218, Pseudomonas aeruginosa ATCC 27853, and Klebsiella pneumoniae CI 1287. The bacteria were grown aerobically in Luria-Bertani (LB) broth at 37°C with shaking overnight (16 h). Before use, cultures were diluted 10-fold into fresh LB broth and incubated under the same conditions described above for 2 h, after which the mid-log-phase cultures were diluted to 108 CFU per ml (on the basis of the optical density measurement at 600 nm) and then diluted again to the concentrations specified below for each assay.

Capture assay.Bacterial capture was determined essentially as described previously (27), except that the spin columns (VectaSpin Micro; Whatman), which are no longer available commercially, were replaced by comparable ones (0.9-ml Pierce spin columns with a 10-μm-cutoff membrane; Thermo Fisher Scientific Inc.). Briefly, bacteria were incubated in 500 μl saline in a spin column containing analytically weighed ROAK beads (3 to 4 mg) or uncoated beads as a control. After 15 min incubation with shaking at 37°C, the columns were centrifuged (1 min at 5,000 × g) to separate the beads from the filtrate (medium containing the unbound bacteria). The capture efficacy was defined as the ratio of the bacterial count in a sample filtrate to that in its control experiment (i.e., using uncoated beads); thus, the capture percentage was calculated as 100 − [(f/fc) × 100], where f and fc are the bacterial counts of the ROAK and control filtrates, respectively. Bacterial counts were routinely achieved by plating of serial 10-fold sample dilutions for determination of the number of CFU after overnight incubation at 37°C. Alternatively, quantitative PCR (qPCR) was also performed on the E. coli samples, as detailed below.

To test for environmental effects, the bacteria were suspended in different media, as specified below; all salt solutions were filtered (0.2-μm-pore-size filters) prior to use; the effect of pH was assessed using phosphate-buffered saline (PBS) adjusted with 1 N HCl or NaOH; human blood samples for research were acquired from the Israeli Blood Bank.

To recover the ROAK-bound bacteria, the beads were spin washed in saline, after which an elution agent (as specified below) was added, and the mixture was vortexed for 2 to 3 s and then centrifuged at 5,000 × g for 1 min. Aliquots of each sample were plated for determination of the number of CFU, and the bacteria were concurrently quantified by qPCR, as detailed further below. The eluate was assessed for the percentage of bacteria that eluted from the bound bacteria, calculated as [E/(fc − f)] × 100, where E is the bacterial quantity in the eluted sample and fc − f is the quantity of ROAK-bound bacteria.

ROAK columns.Continuous-flow column filtration was performed essentially as described previously (27). Briefly, ROAK beads (10 mg) were packed in a glass pipette (restrained by glass fibers) and preconditioned in saline. Inocula consisting of saline spiked with ∼106 CFU of E. coli ATCC 35218 were passed through the column at a flow rate of 2.5 ml/min using a peristaltic pump (0.05 to 10 ml/min; BT50-1J; Baoding Longer Precision Pump, China). For bacterial release, the column was rinsed with 1 ml saline and then eluted with 1 ml 0.5 M CaCl2 solution. Each inoculum, filtrate, saline wash, and elution fraction was analyzed for bacterial quantification by qPCR and determination of the numbers of CFU.

Bacterial quantification by qPCR.Genomic DNA was extracted from aliquots of 0.3 ml of each sample by ethanol precipitation. Samples were centrifuged at 10,000 × g (5 min), the supernatant was removed, and the pellet was resuspended in 1 ml of ethanol-water (70:30), followed by addition of 33 μl of 3 M Na acetate, incubation for at least 1 min in liquid nitrogen, and centrifugation at 16,000 × g (16 min) and 4°C. The supernatant was discarded, the pellet was suspended in 20 μl of 0.1× TE buffer (1 mM Tris in 0.1 mM EDTA, pH 8.0), and the DNA was submitted to qPCR analysis, as follows: qPCRs were carried out in MicroAmp Fast optical 96-well reaction plates using a StepOnePlus real-time PCR system (v.2.0; Applied Biosystems) with a reaction volume of 10 μl that was composed of 5 μl Fast SYBR green master mix (Applied Biosystems), 0.8 μl of each of the forward and reverse primers, and 3.4 μl of DNA sample. The thermal cycling conditions were as follows: amplification started with a step of enzyme activation and initial denaturation at 95°C for 2 min, followed by 40 cycles consisting of denaturation at 95°C for 10 s and annealing and extension at 60°C for 15 s. A nontemplate control (NTC) and a positive control were used to validate each PCR. PCR data were generated and analyzed using StepOne software (Applied Biosystems). Bacteria were quantified by comparing the threshold cycle (the number of cycles at which the fluorescence exceeds the threshold) of each sample to a standard curve composed of the threshold cycles of bacterial samples at serial 10-fold dilutions of bacterial suspensions in saline which were concomitantly subjected to the same DNA extraction method. Note that qPCR was performed only for samples containing E. coli, using primers specific for the dxs gene, a single-copy gene for deoxy-xylulose-phosphate synthase (35). The primer sequences were 5′-CGAGAAACTGGCGATCCTTA-3′ for the forward primer and 5′-CTTCATCAAGCGGTTTCACA-3′ for the reverse primer, and the PCR product length was 113 bp. Primers, purchased from Sigma-Aldrich Co., were diluted to 2.5 μM in 0.1× TE buffer according to the manufacturer's instructions.

Statistical analysis.Data represent the means and standard deviations calculated from at least two independent experiments and were analyzed using a one- or two-tailed unpaired t test with an assumption of equal variance.

RESULTS AND DISCUSSION

The study initially focused on assessing the ability of the reference ROAK (i.e., composed of the sequence K-7α12) to capture bacteria after a period of incubation under different conditions, as summarized in Fig. 2. Figure 2A shows the high efficacy (81 to 100%) of capture of three representative and medically relevant bacteria using different inocula ranging from 104 to 106 CFU per milliliter medium. Note that the previous work (27) used inocula of ≥106 CFU/ml, raising the possibility of bacterial aggregation, which might artificially increase the number of strictly ROAK-bound bacteria (e.g., many aggregated bacteria might be attached to a ROAK bead via a single bacterium). Here, prior to performing the capture assay, we verified under a microscope the lack of aggregation over the concentration range used. Moreover, this range of bacterial concentrations seems to be more realistic, as real-life samples tend to be rather dilute in early detection settings. In this respect, the fact that bacterial capture did not change with the inoculum size was encouraging.

FIG 2
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FIG 2

Bacterial capture by K-7α12 ROAK. (A) Shown are the capture efficacies for E. coli (white bars), Klebsiella pneumoniae (bars with horizontal stripes), and Pseudomonas aeruginosa (bars with vertical stripes) assessed by the capture assay using 3-mg ROAK beads in each assay and the specified bacterial inocula. (B and C) Effect of salts (B) and pH (C) on capture activity, assessed for 104 CFU/ml E. coli ATCC 35218. Bacterial quantification was achieved both by determination of the number of CFU (white columns) and by qPCR (gray columns). DDW, doubly distilled water. *, P < 0.05 by one-tailed t test compared to bacterial capture in doubly distilled water. (D) Representative data comparing bacterial capture in saline and human whole blood spiked with 104 CFU/ml bacteria. Symbols for the bacteria are as defined in the legend to panel A. Presented are the average percentages of bound bacteria compared to the amount of bound bacteria for the control (using uncoated beads). *, P < 0.05 by two-tailed t test. Data were obtained from at least 2 independent experiments. Error bars represent standard deviations.

Since the interaction of ROAK with bacteria was proposed to be mediated by an electrostatic interaction, we next attempted to assess its strength by investigating the effects of ionic forces on the capture activity. Figure 2B shows the similar efficacy of capture of E. coli in water and in the presence of various salts (at concentrations at least up to 100 mM). Molar concentrations, however, achieved significant levels of inhibition, whereby bivalent salts seemed to be more potent inhibitors, even though qPCR assessment of the captured bacteria at high calcium and magnesium concentrations (>100 mM) revealed capture values somewhat higher than those obtained in the assessment based on CFU counts, a discrepancy that may stem from bacterial death at the high concentrations.

Thus, both sets of data (Fig. 2A and B) are consistent with previous findings (27), arguing for a high-affinity interaction between bacteria and ROAK beads, an interaction where electrostatic attraction is likely to play a major role when taking place in an aqueous environment. This notion is consolidated by additional experimental data that tested the effect of pH values ranging from 3 to 9 in PBS, where a sensibly similar capture profile was obtained (Fig. 2C); i.e., no significant interference with E. coli capture at pH 3 to 9 compared with that at pH 7 was detected. Another line of evidence is apparent from the data shown in Fig. 2D, which reveal some bacterial capture in whole blood (up to 23%), suggesting that bacterial capture may, in principle, take place even in extremely complex media. In fact, preliminary experiments performed under conditions comparable to those described above showed that a 10-fold dilution of whole blood leads to a significant increase (up to about 50%) in bacterial capture (data not shown). Future studies might investigate this aspect, which seems to have clinical significance.

Collectively, these data indicate that the ROAK system may be most useful for bacterial capture in water and possibly in more complex media as well, although such capture can be significantly masked/inhibited, namely, by high levels of salts and plasma components.

Next, we attempted to better understand the structure-activity relationships (SARs) of the ROAK system, aiming to establish the minimal requirements for effective bacterial capture. For this purpose, we compared the capture efficacies of different OAK derivatives generated by decreasing the number of α12 subunits from 7 to 1 or by altering the N-terminal residue (the free end) of selected OAKs. A representative set of data obtained from this SAR study using E. coli is shown in Table 1. The data essentially revealed that efficient bacterial capture can be maintained in several ROAKs composed of sequences shorter than K-7α12 (e.g., K-5α12 or K-4α12), whereas only sequences shorter than K-3α12 exhibited insignificant capture activity.

The data listed in Table 1 also showed that omission of the N-terminal lysine in the shorter sequences (i.e., short sequences starting with an aminododecanoyl instead of a lysine) typically resulted in a significant loss of capture capacity (compare, for instance, the results for the pair K-4α12 and 4α12 or for the pair K-3α12 and 3α12), suggesting a functional (or, possibly, compensating) role for a multiply charged moiety (+2) at the N-terminal position of short OAKs.

To gain further insight from the SAR study, we next investigated the effect of incubation time on the capture capacity. As the reference OAK is known for its rapid capture kinetics (27), we tested capture after only brief incubation periods. The data shown in Fig. 3A revealed practically no change in the number of captured E. coli bacteria for samples assessed after 5 and 10 min incubation, whereas from analysis after 1 min incubation, a positive correlation between the capture kinetics and ROAKs displaying a high capture capacity was evident (Table 1). In this respect, K-3α12 was the shortest sequence to best combine both properties, as observed when using E. coli. Note, however, that this correlation was also observed for other bacterial species (data not shown); i.e., shorter ROAKs generally maintained similar capture kinetics when E. coli was replaced with P. aeruginosa or K. pneumoniae, including at other (e.g., 10-fold lower) inocula.

FIG 3
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FIG 3

Bacterial capture by ROAK derivatives. (A) Shown are the results of a representative experiment comparing the capture of E. coli (5.1 ± 0.2 log CFU in 0.5 ml saline) after different incubation periods using ROAKs composed of K-7α12 (diamonds), K-5α12 (triangles), K-4α12 (inverted triangles), K-3α12 (circles), and K-2α12 (squares). (B) Capture efficacy of K-7α12 ROAK after 15 min incubation with E. coli (white bars), K. pneumonia (bars with horizontal stripes), and P. aeruginosa (bars with vertical stripes). *, P < 0.05 by one-tailed t test compared to K-3α12; **, P < 0.01 by one-tailed t test compared to K-3α12. The changes in hydrophobicity of the sequences in each ROAK, expressed in terms of the percent acetonitrile (ACN) required for elution from a C18 column using reversed-phase HPLC at room temperature, are also shown. Data were obtained from at least 2 independent experiments. Error bars represent standard deviations.

Figure 3B compares the capture capacity of the reference ROAK with the capture capacities of its shorter derivatives and highlights the changes in hydrophobicity of the free sequences in each ROAK, expressed in terms of the percent acetonitrile required for elution from a C18 column using reversed-phase high-pressure liquid chromatography (HPLC). Note that the abrupt drop in capture efficacy occurring with 3α12 and 2α12 subunits is well correlated with the sudden drop in hydrophobicity (i.e., from the 40s to the 30s), potentially indicating attributes of the limit for effective capture. This explains well the reason why resin-linked polylysines (which, e.g., have charge numbers similar to or twice as great as those of K-7α12) or OAKs with shorter acyls (e.g., octanoyls instead of dodecanoyls) were about 3 orders of magnitude less effective than the reference OAK, when tested using this bacterial capture assay (27).

Another interesting observation from the SARs relates to the fact that K-3α12 exhibited a lower capture efficacy with P. aeruginosa than with the other bacteria, as can be seen in Fig. 3B. On the other hand, the K-5α12 analog clearly displayed a capture efficacy for Pseudomonas superior to that of the reference ROAK, K-7α12, which otherwise seems to be the most potent for the capture of other bacteria. These discrepancies might hint that specific sets of characteristics (e.g., optimal charge and hydrophobicity combinations) in the OAK sequence are required for the optimal capture of specific bacterial species, to account for their specific surface topographies.

To further characterize the capture attributes, we next challenged the bond strength by exposing ROAK-bound bacteria to various washes in order to investigate their ability to act as eluting agents, as summarized in Fig. 4. Figure 4A compares the elution capabilities of ethanol and salt solutions using E. coli captured by K-7α12 ROAK beads. Note that, as observed in Fig. 2B, the data from both quantification methods were generally coherent, although somewhat smaller quantities (up to 8%) were observed by determination of the numbers of CFU (data not shown), likely reflecting the antibacterial effect of salts. As shown in Fig. 4A, recovery from ethanol washes was typically less than 1% of the bound bacteria, whereas salt solutions that inhibited bacterial capture (refer to Fig. 2B) displayed a considerably higher elution power (up to about 5, 12, and 17% for NaCl, MgCl2, and CaCl2, respectively).

FIG 4
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FIG 4

Recovery of ROAK-bound E. coli. (A) Elution efficacies achieved with a wash step using ethanol (EtOH; 70%, vol/vol) or different salt solutions, expressed as a percentage of the bacteria bound to K-7α12 ROAK. For all salt solutions, P was <0.05 by a one-tailed t test compared to 0.1 M NaCl. (B) Elution efficacies achieved by 0.5 M CaCl2 (gray bars) and ethanol (bars with stripes) when the reference ROAK, K-7α12, was compared with its shorter analog, K-3α12. *, P < 0.05 by two-tailed t test comparing ethanol elution for the two ROAKs. The quantities in both panels were obtained by the qPCR method. Data were obtained from at least 2 independent experiments. Error bars represent standard deviations.

Figure 4B compares the elution yields of the reference ROAK and its shorter derivative, K-3α12, when similarly washed with 70% ethanol or 0.5 M CaCl2. The data revealed that, unlike K-7α12, which allowed recovery of free bacteria only upon the CaCl2 wash, the shorter construct, which was less hydrophobic and less charged, was able to free over 10% of the bound bacteria when either one of these eluents was used, thereby validating the notion of a weaker interaction between E. coli and K-3α12.

Collectively, these findings provide coherent evidence arguing for affinity interactions between ROAKs and Gram-negative bacteria and that despite the high binding affinity, a significant portion of the captured bacteria (live or dead, using salt or ethanol, respectively) can be recovered. Based on these data, we hypothesized that the combination of both capabilities (i.e., capture and release) might be beneficial for active filtration of bacterial samples and, potentially, for enrichment of samples with low bacterial counts. In other words, the sensitivity of a detection method such as qPCR might be enhanced by harvesting the ability of ROAK to enrich the number of bacteria available in samples with low counts, namely, by exploiting the potential for efficient capture/concentration of bacteria from samples with large volumes, using a continuous-flow column filtration system like the one described previously (27).

To verify this hypothesis, we utilized a volumetric 1-ml glass pipette where ROAK beads (held between glass fibers) were put to use to filter saline inocula spiked with a constant number of E. coli bacteria (6.0 ± 0.5 log CFU), as summarized in Fig. 5. Figure 5A shows that both the K-7α12 and K-3α12 ROAKs maintained a high capacity for bacterial capture under these continuous-flow conditions, albeit the capacity was somewhat less for K-3α12 (i.e., 92 and 80% of their respective inocula), possibly due to the combined lower affinity and the shorter interaction time involved in the flow conditions. Note that this could be predicted from the kinetic profile shown in Fig. 3A.

FIG 5
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FIG 5

Bacterial concentration after continuous-flow filtration. Inocula spiked with E. coli ATCC 35218 (6.0 ± 0.5 log CFU) were passed through a glass column (a 1-ml pipette) containing 10 mg of the specified ROAK at a flow rate of 2.5 ml/min, followed by a saline wash. (A) Capture efficacy determined after passing a 50-ml sample and comparing the bacterial counts in the filtrate versus those in the inoculum. (B) Elution of the bound bacteria from the assay whose results are presented in panel A was achieved with a 1-ml CaCl2 (0.5 M) wash and was determined as the ratio of the amount of eluted bacteria to the amount of column-bound bacteria. Statistical analysis was done by a one-tailed t test. (C) Bacterial concentration factors calculated for the specified inoculum volumes as the ratio of the eluate count per milliliter to the inoculum count per milliliter. *, P < 0.05 by a two-tailed t test compared to the inoculum concentration. All bacterial quantifications were obtained by qPCR. Data were obtained from at least 2 independent experiments. Error bars represent standard deviations.

Most significantly, however, the elution yield from the K-3α12 column was substantially higher than that from the K-7α12 column; i.e., the elution yield from the K-3α12 column represented a 5-fold increase compared to that from the K-7α12 column (Fig. 5B). Thus, unlike elution attempts following the capture assay under incubation conditions which typically resulted in a 15 to 20% recovery of captured bacteria from a CaCl2 wash (Fig. 4B), here, under the flow conditions used, the K-7α12 column was disinclined to release the bound bacteria and only the K-3α12 column maintained a similarly high recovery, i.e., about 20% of the bound bacteria. Again, this might reflect differences in binding affinities between E. coli and these OAKs. One might imagine a repetitive process in which multiple adhesion and dissociation steps occur between juxtaposed ROAK beads all along the column height. Consequently, it would be less difficult to elute from the K-3α12 column than the K-7α12 column, where the binding affinity is apparently somewhat higher, as evidenced quantitatively and kinetically in Fig. 3.

Notwithstanding these findings, the data distinctly argue that the K-3α12 ROAK column assay represents a rapid bacterial enrichment procedure since bacterial counts could be elevated by about 7-fold (referred to as a “concentration factor”). Because capture efficacy is consistently high, this concentration factor is affected only by elution efficacy. Thus, one might expect that using the ROAK column assay for samples with higher volumes will further enhance the concentration factor, as the elution yield is not a function of the initial bacterial count per ml but of the total number of bacteria bound to ROAK beads. Figure 5C shows the trend line supporting this claim. Thus, different sample volumes with identical inoculum values were applied to the ROAK column, testing the concentration factor (i.e., the ratio of the bacterial count in the eluate to that in the inoculum). By applying a higher inoculum volume (100 ml), often required in standard tests (36, 37), the concentration factor was increased to about 20-fold, a number that, at least theoretically, should further increase with increasing sample volumes.

Noteworthy is the fact that these values, which are based on qPCR analysis, are almost 2-fold higher than those obtained following determination of the number of CFU (data not shown); i.e., similar to previous analyses, bacterial quantification based on CFU counts exhibited a similar trend line but lower concentration factors. From the difference between these values, we conclude that a significant proportion (54% ± 17%) of the eluted bacteria was viable.

In conclusion, the current work extends the initial ROAK approach previously described (27) by improving our understanding of the OAK-bacterium interaction both qualitatively and quantitatively and by providing a SAR perspective as well as evidence for potential implementation of the ROAK system. Namely, the data provide evidence of the ability of ROAK columns to deplete a sample of bacteria using high-affinity OAKs (e.g., K-7α12) or, alternatively, to improve the sensitivity of qPCR-based bacterial detection by using lower-affinity OAKs (e.g., K-3α12). Thus, in addition to its compositional simplicity and robustness, the new attributes highlight a potential advantage of the OAK approach over approaches that use antibodies (5) or AMPs (8), including in terms of how environmental conditions (pH, ionic strength, and complexity) might affect their performances.

ACKNOWLEDGMENTS

This work was supported by the Israel Science Foundation (grant 909/12) and in part by the Russell Berrie Nanotechnology Institute (Technion).

FOOTNOTES

    • Received 31 July 2014.
    • Accepted 7 October 2014.
    • Accepted manuscript posted online 10 October 2014.
  • Copyright © 2015, American Society for Microbiology. All Rights Reserved.

REFERENCES

  1. 1.↵
    1. Lim DV,
    2. Simpson JM,
    3. Kearns EA,
    4. Kramer MF
    . 2005. Current and developing technologies for monitoring agents of bioterrorism and biowarfare. Clin Microbiol Rev 18:583–607. doi:10.1128/CMR.18.4.583-607.2005.
    OpenUrlAbstract/FREE Full Text
  2. 2.↵
    1. Lazcka O,
    2. Del Campo FJ,
    3. Munoz FX
    . 2007. Pathogen detection: a perspective of traditional methods and biosensors. Biosens Bioelectron 22:1205–1217. doi:10.1016/j.bios.2006.06.036.
    OpenUrlCrossRefPubMedWeb of Science
  3. 3.↵
    1. Velusamy V,
    2. Arshak K,
    3. Korostynska O,
    4. Oliwa K,
    5. Adley C
    . 2010. An overview of foodborne pathogen detection: in the perspective of biosensors. Biotechnol Adv 28:232–254. doi:10.1016/j.biotechadv.2009.12.004.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Herzog AB,
    2. McLennan SD,
    3. Pandey AK,
    4. Gerba CP,
    5. Haas CN,
    6. Rose JB,
    7. Hashsham SA
    . 2009. Implications of limits of detection of various methods for Bacillus anthracis in computing risks to human health. Appl Environ Microbiol 75:6331–6339. doi:10.1128/AEM.00288-09.
    OpenUrlAbstract/FREE Full Text
  5. 5.↵
    1. Iqbal SS,
    2. Mayo MW,
    3. Bruno JG,
    4. Bronk BV,
    5. Batt CA,
    6. Chambers JP
    . 2000. A review of molecular recognition technologies for detection of biological threat agents. Biosens Bioelectron 15:549–578. doi:10.1016/S0956-5663(00)00108-1.
    OpenUrlCrossRefPubMedWeb of Science
  6. 6.↵
    1. Welling MM,
    2. Lupetti A,
    3. Balter HS,
    4. Lanzzeri S,
    5. Souto B,
    6. Rey AM,
    7. Savio EO,
    8. Paulusma-Annema A,
    9. Pauwels EK,
    10. Nibbering PH
    . 2001. 99mTc-labeled antimicrobial peptides for detection of bacterial and Candida albicans infections. J Nucl Med 42:788–794.
    OpenUrlAbstract/FREE Full Text
  7. 7.↵
    1. Kulagina N,
    2. Shaffer K,
    3. Ligler F,
    4. Taitt C
    . 2007. Antimicrobial peptides as new recognition molecules for screening challenging species. Sens Actuators B Chem 121:150–157. doi:10.1016/j.snb.2006.09.044.
    OpenUrlCrossRefPubMed
  8. 8.↵
    1. Mannoor M,
    2. Zhang S,
    3. Link A,
    4. McAlpine M
    . 2010. Electrical detection of pathogenic bacteria via immobilized antimicrobial peptides. Proc Natl Acad Sci U S A 107:19207–19212. doi:10.1073/pnas.1008768107.
    OpenUrlAbstract/FREE Full Text
  9. 9.↵
    1. Thomma BP,
    2. Cammue BP,
    3. Thevissen K
    . 2002. Plant defensins. Planta 216:193–202. doi:10.1007/s00425-002-0902-6.
    OpenUrlCrossRefPubMedWeb of Science
  10. 10.↵
    1. Bulet P,
    2. Stocklin R,
    3. Menin L
    . 2004. Anti-microbial peptides: from invertebrates to vertebrates. Immunol Rev 198:169–184. doi:10.1111/j.0105-2896.2004.0124.x.
    OpenUrlCrossRefPubMedWeb of Science
  11. 11.↵
    1. Zasloff M
    . 2002. Antimicrobial peptides of multicellular organisms. Nature 415:389–395. doi:10.1038/415389a.
    OpenUrlCrossRefPubMedWeb of Science
  12. 12.↵
    1. Hancock RE
    . 2001. Cationic peptides: effectors in innate immunity and novel antimicrobials. Lancet Infect Dis 1:156–164. doi:10.1016/S1473-3099(01)00092-5.
    OpenUrlCrossRefPubMed
  13. 13.↵
    1. Jenssen H,
    2. Hamill P,
    3. Hancock RE
    . 2006. Peptide antimicrobial agents. Clin Microbiol Rev 19:491–511. doi:10.1128/CMR.00056-05.
    OpenUrlAbstract/FREE Full Text
  14. 14.↵
    1. Wilson SS,
    2. Wiens ME,
    3. Smith JG
    . 2013. Antiviral mechanisms of human defensins. J Mol Biol 425:4965–4980. doi:10.1016/j.jmb.2013.09.038.
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Aerts AM,
    2. Francois IE,
    3. Cammue BP,
    4. Thevissen K
    . 2008. The mode of antifungal action of plant, insect and human defensins. Cell Mol Life Sci 65:2069–2079. doi:10.1007/s00018-008-8035-0.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. Krugliak M,
    2. Feder R,
    3. Zolotarev VY,
    4. Gaidukov L,
    5. Dagan A,
    6. Ginsburg H,
    7. Mor A
    . 2000. Antimalarial activities of dermaseptin S4 derivatives. Antimicrob Agents Chemother 44:2442–2451. doi:10.1128/AAC.44.9.2442-2451.2000.
    OpenUrlAbstract/FREE Full Text
  17. 17.↵
    1. Hancock RE,
    2. Sahl HG
    . 2006. Antimicrobial and host-defense peptides as new anti-infective therapeutic strategies. Nat Biotechnol 24:1551–1557. doi:10.1038/nbt1267.
    OpenUrlCrossRefPubMedWeb of Science
  18. 18.↵
    1. Costa F,
    2. Carvalho I,
    3. Montelaro R,
    4. Gomes P,
    5. Martins M
    . 2011. Covalent immobilization of antimicrobial peptides (AMPs) onto biomaterial surfaces. Acta Biomater 7:1431–1440. doi:10.1016/j.actbio.2010.11.005.
    OpenUrlCrossRefPubMedWeb of Science
  19. 19.↵
    1. Hilpert K,
    2. Elliott M,
    3. Jenssen H,
    4. Kindrachuk J,
    5. Fjell C,
    6. Körner J,
    7. Winkler D,
    8. Weaver L,
    9. Henklein P,
    10. Ulrich A,
    11. Chiang S,
    12. Farmer S,
    13. Pante N,
    14. Volkmer R,
    15. Hancock R
    . 2009. Screening and characterization of surface-tethered cationic peptides for antimicrobial activity. Chem Biol 16:58–69. doi:10.1016/j.chembiol.2008.11.006.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Scott MG,
    2. Gold MR,
    3. Hancock RE
    . 1999. Interaction of cationic peptides with lipoteichoic acid and gram-positive bacteria. Infect Immun 67:6445–6453.
    OpenUrlAbstract/FREE Full Text
  21. 21.↵
    1. Lehrer RI
    . 2004. Primate defensins. Nat Rev Microbiol 2:727–738. doi:10.1038/nrmicro976.
    OpenUrlCrossRefPubMedWeb of Science
  22. 22.↵
    1. Hancock REW
    . 1997. The bacterial outer membrane as a drug barrier. Trends Microbiol 5:37–42. doi:10.1016/S0966-842X(97)81773-8.
    OpenUrlCrossRefPubMedWeb of Science
  23. 23.↵
    1. Epand RM,
    2. Epand RF
    . 2010. Biophysical analysis of membrane-targeting antimicrobial peptides: membrane properties and the design of peptides specifically targeting Gram-negative bacteria, p 116–127. In Wang G. (ed), Antimicrobial peptides: discovery, design and novel therapeutic strategies. CABI Publishing, Wallingford, United Kingdom.
  24. 24.↵
    1. Arcidiacono S,
    2. Pivarnik P,
    3. Mello CM,
    4. Senecal A
    . 2008. Cy5 labeled antimicrobial peptides for enhanced detection of Escherichia coli O157:H7. Biosens Bioelectron 23:1721–1727. doi:10.1016/j.bios.2008.02.005.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Onaizi SA,
    2. Leong SS
    . 2011. Tethering antimicrobial peptides: current status and potential challenges. Biotechnol Adv 29:67–74. doi:10.1016/j.biotechadv.2010.08.012.
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Strauss J,
    2. Kadilak A,
    3. Cronin C,
    4. Mello CM,
    5. Camesano TA
    . 2010. Binding, inactivation, and adhesion forces between antimicrobial peptide cecropin P1 and pathogenic E. coli. Colloids Surf B 75:156–164. doi:10.1016/j.colsurfb.2009.08.026.
    OpenUrlCrossRefPubMed
  27. 27.↵
    1. Rotem S,
    2. Raz N,
    3. Kashi Y,
    4. Mor A
    . 2010. Bacterial capture by peptide-mimetic oligoacyllysine surfaces. Appl Environ Microbiol 76:3301–3307. doi:10.1128/AEM.00532-10.
    OpenUrlAbstract/FREE Full Text
  28. 28.↵
    1. Yeaman MR,
    2. Yount NY
    . 2003. Mechanisms of antimicrobial peptide action and resistance. Pharmacol Rev 55:27–55. doi:10.1124/pr.55.1.2.
    OpenUrlAbstract/FREE Full Text
  29. 29.↵
    1. Marr AK,
    2. Gooderham WJ,
    3. Hancock RE
    . 2006. Antibacterial peptides for therapeutic use: obstacles and realistic outlook. Curr Opin Pharmacol 6:468–472. doi:10.1016/j.coph.2006.04.006.
    OpenUrlCrossRefPubMedWeb of Science
  30. 30.↵
    1. Rotem S,
    2. Mor A
    . 2009. Antimicrobial peptide mimics for improved therapeutic properties. Biochim Biophys Acta 1788:1582–1592. doi:10.1016/j.bbamem.2008.10.020.
    OpenUrlCrossRefPubMedWeb of Science
  31. 31.↵
    1. Tew GN,
    2. Scott RW,
    3. Klein ML,
    4. Degrado WF
    . 2010. De novo design of antimicrobial polymers, foldamers, and small molecules: from discovery to practical applications. Acc Chem Res 43:30–39. doi:10.1021/ar900036b.
    OpenUrlCrossRefPubMedWeb of Science
  32. 32.↵
    1. Radzishevsky IS,
    2. Rotem S,
    3. Bourdetsky D,
    4. Navon-Venezia S,
    5. Carmeli Y,
    6. Mor A
    . 2007. Improved antimicrobial peptides based on acyl-lysine oligomers. Nat Biotechnol 25:657–659. doi:10.1038/nbt1309.
    OpenUrlCrossRefPubMedWeb of Science
  33. 33.↵
    1. Rotem S,
    2. Radzishevsky IS,
    3. Bourdetsky D,
    4. Navon-Venezia S,
    5. Carmeli Y,
    6. Mor A
    . 2008. Analogous oligo-acyl-lysines with distinct antibacterial mechanisms. FASEB J 22:2652–2661. doi:10.1096/fj.07-105015.
    OpenUrlCrossRefPubMed
  34. 34.↵
    1. Fields GB,
    2. Noble RL
    . 1990. Solid phase peptide synthesis utilizing 9-fluorenylmethoxycarbonyl amino acids. Int J Pept Protein Res 35:161–214.
    OpenUrlCrossRefPubMedWeb of Science
  35. 35.↵
    1. Lee C,
    2. Lee S,
    3. Shin SG,
    4. Hwang S
    . 2008. Real-time PCR determination of rRNA gene copy number: absolute and relative quantification assays with Escherichia coli. Appl Microbiol Biotechnol 78:371–376. doi:10.1007/s00253-007-1300-6.
    OpenUrlCrossRefPubMedWeb of Science
  36. 36.↵
    World Health Organization. 2008. Guidelines for drinking-water quality. World Health Organization, Geneva, Switzerland.
  37. 37.↵
    1. Rompre A,
    2. Servais P,
    3. Baudart J,
    4. de-Roubin MR,
    5. Laurent P
    . 2002. Detection and enumeration of coliforms in drinking water: current methods and emerging approaches. J Microbiol Methods 49:31–54. doi:10.1016/S0167-7012(01)00351-7.
    OpenUrlCrossRefPubMedWeb of Science
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Improved Bacterial Detection Using Immobilized Acyl-Lysyl Oligomers
Ibrahim Marjieh, Ohad Meir, Fadia Zaknoon, Amram Mor
Applied and Environmental Microbiology Dec 2014, 81 (1) 74-80; DOI: 10.1128/AEM.02537-14

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Improved Bacterial Detection Using Immobilized Acyl-Lysyl Oligomers
Ibrahim Marjieh, Ohad Meir, Fadia Zaknoon, Amram Mor
Applied and Environmental Microbiology Dec 2014, 81 (1) 74-80; DOI: 10.1128/AEM.02537-14
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