- Research article
- Open Access
- Open Peer Review
Fourier transform infra-red spectroscopy and flow cytometric assessment of the antibacterial mechanism of action of aqueous extract of garlic (Allium sativum) against selected probiotic Bifidobacterium strains
© Booyens and Thantsha; licensee BioMed Central Ltd. 2014
- Received: 6 January 2014
- Accepted: 30 July 2014
- Published: 6 August 2014
It is generally reported that garlic (Allium sativum) harms pathogenic but not beneficial bacteria. Although numerous studies supporting the alleged garlic effects on pathogens are available, there are limited studies to prove this claim for beneficial bacteria. We have recently shown that garlic exhibits antibacterial activity against probiotic bifidobacteria. The aim of the current study was to elucidate the mechanism of action of garlic clove extract (GCE) on Bifidobacterium bifidum LMG 11041, B. longum LMG 13197 and B. lactis Bb12 using Fourier transform infrared (FT-IR) spectroscopy and flow cytometry.
Cultures (1 × 108 CFU ml-1) were individually incubated for 6 h at 37°C in garlic clove extract containing allicin at a corresponding predetermined minimum bactericidal concentration for each strain. For FTIR, an aliquot of each culture was deposited on CaF2 slide and vacuum dried. The slides were immediately viewed using a Bruker Vertex 70 V FT-IR spectrometer equipped with a Hyperion microscope and data analyzed using OPUS software (version 6, Bruker). Spectra were smoothed with a Savitsky-Goly function algorithim, base-line corrected and normalized. Samples for flow cytometry were stained using the Live/Dead Bac Light bacterial viability kit L7012. Data compensation and analysis was performed using a BD FACSAria and FlowJo (version 7.6.1).
Fourier transform infrared spectroscopy showed changes in spectral features of lipids and fatty acids in cell membranes, proteins, polysaccharides and nucleic acids. Spectral data as per principle component analysis (PCA) revealed segregation of control and GCE-treated cells for all the tested bifidobacteria. Flow cytometry not only showed increase in numbers of membrane damaged and possibly lysed cells after GCE treatment, but also displayed diffuse light scatter patterns for GCE treated cells, which is evidence for changes to the size, granularity and molecular content of the cells.
Garlic has multiple target sites in bifidobacteria, penetrating the cell membrane and entering the cytoplasm, where it causes changes to carbohydrates, fatty acids, proteins and nucleic acids. These changes, for example, modification of membrane properties, may prevent exposed bifidobacteria from colonizing the intestinal mucosa. Loss of colonization potential would render them less efficient as probiotics.
- Fourier transform infrared spectroscopy
- Flow cytometry
- Garlic (Allium sativum)
Bifidobacteria, used as probiotics, are added to a variety of different food products and pharmaceutical preparations due to their numerous health benefits[1, 2]. In order to provide these health benefits, these bacteria need to be present in sufficient viable amounts within products, as well as be able to attach to and colonize the intestinal mucosa. It is therefore important to test susceptibility of these probiotic bacteria to compounds that may render them ineffective or decrease their capability to perform. Knowledge of the foods or food ingredients that may compromise viability of these bacteria is critical to their success in enhancing consumers’ health. Garlic (Allium sativum) is a strong antibacterial agent and it is known to inhibit various pathogenic microorganisms.
We have recently revealed sensitivity of bifidobacteria to antibacterial effects of garlic, as well as initiated the process of elucidating its mechanism of action on these bacteria. Electron micrographs showed that garlic induced unusual morphological changes in bifidobacteria. It is however not yet known whether garlic inhibition on probiotic cells is confined to the cell membrane or if there are other targets. We anticipate additional targets as allicin, the main active compound in garlic, has been reported to kill pathogens through total inhibition of RNA synthesis, partial inhibition of DNA and protein synthesis, and alteration of the electrochemical ability and induce apoptosis in cells[6–9]. It is also known to affect microbial lipid biosynthesis, signal transduction, as well as react with thiol-containing proteins[10–12].
Fourier transform infrared (FT-IR) spectroscopy is a fairly new technique used to study the entire molecular composition of microbial cells. It can “fingerprint’ the entire cell and detect even the minimal cellular compositional changes that other methods fail to reveal. This is possible because all functional groups of organic molecules are able to absorb IR light. The infrared spectra of bacterial cells is able to reveal the biochemical composition of their cellular constituents which include the cell wall and membrane (composed of phospholipid bilayer, peptidoglycan and lipopolysaccharides), and the cytoplasm (fatty acids, water, nucleic acids, proteins and polysaccharides)[14, 15]. This technique not only offers a rapid and non-invasive alternative to study changes or injury that takes place in bacterial cells, but it also requires minimal sample preparation.
Researchers elsewhere have used FT-IR spectroscopy to study the effect of different stress factors, injury or treatment with some antimicrobial compound on compositional changes of internal molecules of bacteria. It has recently been used to investigate the mode of action of bactericidal compounds and to determine changes in bacterial membrane fluidity and membrane phase behaviour in response to environmental stresses. Zoumpopoulou et al. used it to detect internal cellular changes in Salmonella enterica serovar typhimurium induced by exposure to antimicrobial compounds. Sub lethal thermal injury in S. enterica and Listeria monocytogenes, and cold stress injury in Campylobacter jejuni and Pseudomonas aeruginosa have also been identified using FT-IR spectroscopy[11, 15]. Furthermore, it has been used to study chlorine-injured P. aeruginosa and Escherichia coli in water, radical induced damage of Micrococcus luteus and heat-killed E. coli O157:H7 in ground beef. In studies closely related to our current study, it has been used to detect sub lethal damage in foodborne pathogens, such as C. jejuni, E. coli O157:H7 and L. monocytogenes, as a result to garlic exposure[12, 17].
Flow cytometry on the otherhand, is a technique that allows rapid analysis of individual cells, and can also simultaneously assess morphological and cellular functions. It has been used to assess bacterial viability of probiotic products, dairy starter cultures and to measure viability changes of different Bifidobacterium spp.[18, 20]. Bunthof et al. used flow cytometry to assess survival of different probiotic strains after their exposure to bile salt and acid.
This study therefore aimed to investigate the potential effects induced on macromolecules of bifidobacteria by GCE, using FT-IR and flow cytometry, in order to determine and better understand its mechanism and extent of damage on these bacteria.
Culture and garlic clove extract preparation
Bifidobacterium bifidum LMG 11041 and B. longum LMG 13197 strains (BCCM/LMG culture collection, Belgium) were revived as per manufacturer’s specifications. Bifidobacterium lactis Bb12 was obtained from CHR-Hansen, Denmark. All cultures were grown in MRS-cys-HCl broth and incubated at 37°C for 48 h in anaerobic jars containing Anaerocult A gaspacks (Merck Ltd, Modderfontein, SA). The concentration of the cultures was then adjusted to 0.5 McFarland standard (1 × 108 CFU ml-1). Both the preparation of garlic clove extract (GCE) and spectrophotometric determination of the concentration of allicin, the major active compound in the extract, were performed as described previously. Garlic clove extract was added to 1 ml of each culture up to a final allicin concentration equivalent to the predetermined minimum bactericidal concentrations of 99.4, 198.7 and 39.8 μg ml-1 for B. bifidum LMG 11041, B. lactis Bb12, and B. longum LMG 13197, respectively. Cultures were then incubated at 37°C for 6 h.
Preparation of bacteria
Bacterial cells were recovered from prepared 1 ml broth cultures by centrifugation at 13400 rpm for 15 min. The supernatant was discarded and pellet was washed twice in ¼ strength Ringer’s solution. The pellet was then resuspended in 1 ml distilled water, ready for sample preparation and measurements. The average cell concentration was kept constant at 1 × 108 CFU ml-1 in order to generate consistent FT-IR signals. Samples for FT-IR were prepared according to Marcotte et al. with slight modifications. A 5 μl aliquot of each bacterial sample was deposited onto a CaF2 slide and air-dried at room temperature under low vacuum for 15 min. A further 2 μl of sample was deposited on top of the dried sample to form a homogenous dried film of cells. Samples were analyzed directly after preparation to prevent any changes associated with aging of the samples.
Spectral measurements and data analysis
A Bruker Vertex 70 V FT-IR spectrometer (Bruker Optics, Germany), equipped with a Hyperion microscope attachment was used. The bacterial coated CaF2 slides were placed under the microscope objective and IR spectra were recorded in transmission mode from 4000 to 850 cm-1 at a spectral resolution of 4 cm-1. Fifteen spectra for each sample were obtained at room temperature. A total of 45 spectra (3 × 15) for each treatment were obtained. Experiments were performed in triplicate. OPUS software version 6 was used to perform data analysis. Spectra were smoothed with a Savitsky-Goly function algorithim with 25 smoothing points, base-line corrected and normalized. Principle component analysis (PCA) was used on raw data to separate and group control and GCE-treated bacterial spectra to illustrate differences between the two data sets.
Preparation of bacteria
Bacterial cells from prepared 1 ml broth cultures were harvested by centrifugation at 13400 rpm for 15 min and the pellet washed twice with ¼ Ringers solution. Cells were resuspended in phosphate buffered saline (PBS) and the concentration adjusted to 108 cells ml-1. Live untreated cells in their mid-exponential phase and heat-killed (70°C for 30 min) cells were used as negative and positive controls, respectively.
Staining of bacteria
Samples (live, heat killed, and GCE treated) of each Bifidobacterium were stained with the Live/Dead BacLight bacterial viability kit L7012 (Molecular Probes, Netherland). Three replicates of each control were individually stained with 1.5 μl (1:20 dilution) of PI, SYTO9 or a 1:1 mixture of SYTO9 and PI. These samples were used to set up the protocol, and to differentiate between live, dead and compromised cells. Flow cytometric detectors and compensation settings for the different quadrants were performed using control samples. Dual staining was also performed for GCE treated samples. All the samples were then incubated in the dark for 15 min. Thereafter, they were centrifuged at 13400 rpm for 10 min and pellets resuspended in PBS and placed on ice before analysis.
Data capture and analysis
A BD FACSAria (BD Biosciences, USA), fitted with four argon lasers (488 nm, 633 nm, 405 nm laser and 375 nm near UV laser) was used. BD FACSflow was used as sheath fluid and 10 000 events per sample were counted. Green fluorescence (SYTO9) was detected through a 530 nm, 30 nm-bandwidth band-pass filter which amounts to a range of 675-715 nm (FITC). Red fluorescence (PI) was detected through a 695 nm, 40 nm band-pass filter (Per-C-P), amounting to a range of 515-545 nm. A combination of forward scatter (FSC) and sideward scatter (SSC) was used to discriminate bacteria from background. Experiments were performed in triplicate and data compensation and analysis was performed using FlowJo Version 7.6.1.
Fourier transform infra-red spectra for most bacteria have four distinguishable regions. Region I (3000-2800 cm-1) represents cell membrane fatty acids, with three noticeable peaks (2960, 2925, and 2860 cm-1)[11, 14]. Region II (1700-1500 cm-1) shows amide I (1650 cm-1) and amide II (1550 cm-1) bands of proteins and peptides. Region III (1500-1200 cm-3) corresponds to fatty acids as well as proteins and phosphate-carrying molecules. Three major peaks at 1455 cm-1, 1400 cm-1 and 1240 cm-1 depict changes to lipids and proteins; carbohydrates and nucleic acids or phospholipids, respectively. Bands at 1080 cm-1 are also related to nucleic acids (11). Region IV (1200-900 cm-3) shows absorption bands typical of polysaccharides or carbohydrates of microbial cell walls with an absorption peak between 1100-950 cm-1[14, 16].
The spectra obtained for all the tested Bifidobacterium strains were similar to those previously described for other bacteria[11, 14, 23]. Strong absorptions were obtained for all four spectral regions (4000-850 cm-1) representing the main components of a cell. Control and GCE-treated Bifidobacterium samples showed discrepancies in spectra obtained, as discussed in detail for each tested strain below.
Bifidobacterium bifidum LMG 11041
Bifidobacterium longum LMG 13197
Bifidobacterium lactis Bb12
Principle component analysis of FTIR spectra
Principle component analysis has been extensively used for interpretation of infrared spectra in microbiology, medicine, agricultural and food sciences. It reduces a multidimensional data set to its most dominant features, removes random variation while maintaining the relevant variations between data points[16, 25]. It shows whether there are definite clusters in the data and describes similarities or differences from multivariate data sets. In this study, PCA was performed concurrently for all four FTIR spectral regions described, as well as for the separate regions. Groupings of the spectra representing differences or similarities among the regions were then used to compare molecular compositions of control and GCE-treated bifidobacteria.
In summary, PCA confirmed distinctive features of the FT-IR spectra among Bifidobacterium cells, indicated by clear segregations with distinct sample clusters in most if not all of the spectral regions between control and GCE-treated cells. In all the tested cells, exposure to GCE resulted in significant changes in lipids or fatty acids in the cell membrane, structural proteins and phosphodiesters associated with phospholipid bilayer. Noteworthy differences between control and GCE-treated cells were also observed in the amide groups of proteins, the nucleic acids as well as in polysaccharides of the cell walls for B. longum LMG 13197 and B. lactis Bb12.
Flow cytometric analysis
A definite reason for the presence of unstained cells in Q4 is unknown, but it could be attributed to one or a combination of the following. Firstly, unstained cells could correspond to the cells that have undergone severe lysis and thus lost their nucleic acids, thereby rendering them unstainable. These ‘ghost cells’ have been described by other researchers elsewhere[30, 31]. Previous studies have also reported that garlic causes cell lysis. Kim et al. reported cell wall lysis in Listeria monocytogenes cells treated with garlic shoot juice. Allicin, the major active compound of garlic, has been reported have the ability to pass through phospholipid membranes, causing cell membrane damage and eventually cell lysis and death. Secondly, these could be cells that clumped together or formed interlaced chains which, according to Hayouni et al., may decrease staining accuracy.
Differences in shape and density of the populations’ light scatter patterns before and after exposure to GCE were also observed for all the tested Bifidobacterium strains. After GCE treatment the light scatter patterns became less diffuse and more concentrated, indicating a change in size, granularity and molecular content of the cells (Figure 7). Similar results were also observed in Candida albicans by Grannoum 1988, where the change in structure and integrity of the outer membrane was attributed to a decrease in lipid content of the membrane in the presence of garlic. A different light scatter pattern obtained after exposure of cells to GCE could be due to a change in size or cellular structure and external morphology, whereby cells change from rod to coccoid shape. We have recently reported a change of bifidobacteria from rod to cocci shaped cells with cross- walls due to treatment with GCE. Similar results were reported by Schenk et al. for E. coli and L. innocua cells exposed to UV-C light. Young also showed that typical rod-shaped Bifidobacterium spp. became coccoid under stress.
The mechanism of action of garlic towards bifidobacteria is similar to that which was reported for pathogenic bacteria. Bacterial growth inhibition and death occurs due to modifications to secondary structure proteins, fatty acids and phospholipids in the cell membrane as well as nucleic acids. Changes to the membrane properties may therefore prevent these probiotic Bifidobacterium strains from colonizing the intestinal mucosa and thereby hinders them from delivering the beneficial effects. Hence, we suggest that precaution be taken with simultaneous use of probiotic bifidobacteria and garlic. Future studies could focus on sorting the GCE modified cells and comparing their physiological properties to that of their original counterparts not exposed to garlic, to establish whether these damaged but live cells can still deliver their probiotic effects to the consumer. Furthermore, the effect of food matrices on allicin levels, as well as how long allicin persists in the gastrointestinal tract, needs to be investigated.
Thanks are due to the National Research Foundation and University of Pretoria for funding this project. The authors are also grateful to Dr L. Prinsloo, Department of Physics, University of Pretoria, for her technical assistance with FT-IR spectroscopy, Mr W. Barnes, Dr A. Smit and Mrs P. Kapewangolo for their technical assistance with the flow cytometer and Mrs K. Le Roux for helping with Flowjo data analysis.
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