Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2018 Jan 2;13(1):e0190533. doi: 10.1371/journal.pone.0190533

Elucidation of the mechanism behind the potentiating activity of baicalin against Burkholderia cenocepacia biofilms

Lisa Slachmuylders 1, Heleen Van Acker 1, Gilles Brackman 1, Andrea Sass 1, Filip Van Nieuwerburgh 2, Tom Coenye 1,*
Editor: Anthony M George3
PMCID: PMC5749847  PMID: 29293658

Abstract

Reduced antimicrobial susceptibility due to resistance and tolerance has become a serious threat to human health. An approach to overcome this reduced susceptibility is the use of antibiotic adjuvants, also known as potentiators. These are compounds that have little or no antibacterial effect on their own but increase the susceptibility of bacterial cells towards antimicrobial agents. Baicalin hydrate, previously described as a quorum sensing inhibitor, is such a potentiator that increases the susceptibility of Burkholderia cenocepacia J2315 biofilms towards tobramycin. The goal of the present study is to elucidate the molecular mechanisms behind the potentiating activity of baicalin hydrate and related flavonoids. We first determined the effect of multiple flavonoids on susceptibility of B. cenocepacia J2315 towards tobramycin. Increased antibiotic susceptibility was most pronounced in combination with apigenin 7-O-glucoside and baicalin hydrate. For baicalin hydrate, also other B. cepacia complex strains and other antibiotics were tested. The potentiating effect was only observed for aminoglycosides and was both strain- and aminoglycoside-dependent. Subsequently, gene expression was compared between baicalin hydrate treated and untreated cells, in the presence and absence of tobramycin. This revealed that baicalin hydrate affected cellular respiration, resulting in increased reactive oxygen species production in the presence of tobramycin. We subsequently showed that baicalin hydrate has an impact on oxidative stress via several pathways including oxidative phosphorylation, glucarate metabolism and by modulating biosynthesis of putrescine. Furthermore, our data strongly suggest that the influence of baicalin hydrate on oxidative stress is unrelated to quorum sensing. Our data indicate that the potentiating effect of baicalin hydrate is due to modulating the oxidative stress response, which in turn leads to increased tobramycin-mediated killing.

Introduction

Burkholderia cepacia complex (Bcc) bacteria are opportunistic pathogens, which cause severe lung infections in immunocompromised persons, such as cystic fibrosis (CF) patients [1]. The most frequently isolated Bcc species from these patients are Burkholderia cenocepacia and Burkholderia multivorans [2]. Infections with these pathogens are particularly difficult to treat due to their ability to form biofilms [3]. Biofilms are defined as communities of microbial cells embedded in a self-produced matrix that, compared to their planktonic counterparts, show reduced susceptibility towards antimicrobial therapy [4]. The process of biofilm formation is partially controlled by quorum sensing (QS), a cell-density-dependent communication system, that coordinates expression of various virulence factors [5,6]. B. cenocepacia has two acylhomoserine lactone (AHL) based systems, namely CepIR and CciIR. The CepIR system is present in all Bcc strains, while the CciIR system is only present in highly transmissible ET12 strains containing the cci genomic island. The CepIR system is generally responsible for positive regulation of QS-regulated genes while CciIR mainly acts as a negative regulator [7]. Another QS system in B. cenocepacia uses cis-2-dodecenoic acid, also referred to as BDSF (Burkholderia Diffusible Signal Factor) as signalling molecule. BDSF is synthesized by RpfF and sensed by RpfR [8]. There is a complex interplay between the AHL- and BDSF-based QS systems [9].

One of the mechanisms contributing to biofilm tolerance is the protection against oxidative stress [10]. These responses to oxidative stress are controlled by two major transcriptional regulators, OxyR and SoxRS [11], and include the production of polyamines, such as putrescine, which reduce intracellular reactive oxygen species (ROS) levels and protect membranes from lipid peroxidation [12,13].

It was previously described [14,15] that antibiotics also induce intracellular ROS production and it was shown that this also occurs in Bcc strains [16]. The primary drug-target interactions are thought to stimulate the oxidation of nicotinamide adenine dinucleotide (NADH) through the electron transport chain (ETC), which depends on the tricarboxylic acid cycle (TCA) [15,17]. Hyperactivation of the ETC leads to increased superoxide (O2-) production. These highly toxic ROS damage iron-sulphur clusters in proteins, making ferrous iron available for the Fenton reaction [15]. In this reaction, ferrous iron (Fe2+) will be oxidized by hydrogen peroxide (H2O2) to produce ferric iron (Fe3+) and deleterious hydroxyl radicals (·OH). ROS can directly damage macromolecules such as DNA, lipids and proteins [18] or indirectly damage DNA by oxidizing the deoxynucleotide pool [19].

A decreased activity of the tricarboxylic acid (TCA) cycle leads to a larger fraction of metabolically less active cells, in which endogenous ROS production is reduced [20]. This leads to increased tolerance towards antibiotics [21,22]. A lower activity of the TCA cycle is typically associated with an induction of the glyoxylate shunt. This shunt allows the cells to avoid NADH formation in the TCA cycle and thus avoid ROS production. This was already described for P. aeruginosa and B. cenocepacia strains exposed to lethal doses of aminoglycosides [11,16,20].

A promising approach to overcome tolerance and/or resistance is the use of antibiotic adjuvants, also described as potentiators. These are compounds with little or no intrinsic antibiotic activity that increase the susceptibility of bacterial cells towards antimicrobial therapy [23]. Brackman et al. [24] already demonstrated an increased susceptibility of B. cenocepacia biofilms towards tobramycin (TOB) when it was combined with the potentiator baicalin hydrate (BH). Baicalin (5,6-dihydroxy-7-O-glucuronide flavone), a flavonoid isolated from the roots of Scutellaria baicalensis, was described as an inhibitor of QS [24] and has a long history of use in Chinese medicine [25]. The goal of the present research is to elucidate the molecular mechanism behind the potentiating activity of BH and other flavonoids.

Materials and methods

Strains and culture conditions

The strains used in the present study are listed in Table 1. The strains were stored at -80°C using Microbank vials (Prolab Diagnostics, Richmond Hill, ON, Canada) and subcultured at 37°C on Trypton Soy agar (TSA; Lab M, Lancashire, UK) or TSA supplemented with 800 μg/ml trimethoprim (Ludeco, Brussels, Belgium) for MDL2. Overnight cultures were grown aerobically in Mueller Hinton broth (MHB; Lab M) at 37°C. Except for cultures on which the H2DCFDA assay was performed, Luria Bertoni agar (LBA; Lab M) and Luria Bertoni broth (LBB; Lab M) were used.

Table 1. Strains used in the present study.

Strain Strain info Source and/or reference
B. cenocepacia strains
 J2315 (LMG 16656T) CF patient, UK, ET12 strain BCCM/LMG bacteria collection (Ghent, University, Belgium)
 Triple QS deletion mutant J2315 ΔcepIΔcciIΔrpfF G. Riccardi [26]
 C5424 (LMG 18827) CF patient, Canada, ET12 strain BCCM/LMG bacteria collection
 MDL2 C5424 ΔkatB M. Valvano [27]
 K56-2 (LMG 18863) CF patient, Canada, ET12 strain BCCM/LMG bacteria collection
 OME11 K56-2 ΔBCAL2641 M. Valvano [28]
 HI2424 (LMG 24507) Soil, USA, PHDC strain BCCM/LMG bacteria collection
 AU1054 (LMG 24506) CF patient, USA, PHDC strain BCCM/LMG bacteria collection
 C6433 (LMG 18828) CF patient, Canada BCCM/LMG bacteria collection
 PC184 (LMG 18829) CF patient, USA BCCM/LMG bacteria collection
B. multivorans strains
 LMG 13010T CF patient, Belgium BCCM/LMG bacteria collection
 LMG 18825 CF patient, UK BCCM/LMG bacteria collection
B. ambifaria LMG 19182T Pea rhizosphere, USA BCCM/LMG bacteria collection

Reagents

The following antibiotics were tested during the present study: tobramycin (TOB; TCI Europe, Zwijndrecht, Belgium), gentamicin (GN; Sigma-Aldrich), kanamycin (KN; Sigma-Aldrich), neomycin (NEO; Sigma-Aldrich), ceftazidime (CEF; Sigma-Aldrich), meropenem (MEM; Fresenius Kabi, Schelle, Belgium), minocycline (MIN; Sigma-Aldrich), ciprofloxacin (CIP; Sigma-Aldrich) and trimethoprim/sulfamethoxazole (Sigma-Aldrich) (co-trimoxazole, SXT). All antibiotics were dissolved in either MilliQ water (MQ water) (Millipore, Billerce, MA, US) to determine the minimal inhibitory concentration (MIC) or in physiological saline (PS) (0.9% w/v NaCl) (Applichem, Darmstadt, Germany) to treat biofilms. Stock solutions were filter sterilized (0.22 μm Whatman, Dassel, Germany) and stored at 4°C until use.

Structural derivatives of BH (Sigma-Aldrich, Bornem, Belgium) were selected to determine their potentiating activity in combination with TOB. These derivatives were scutellarin (Sigma-Aldrich), luteolin 7-O-glucoside (Sigma-Aldrich), schaftoside (Extrasynthese, Genay Cedex, France), myricitrin (Sigma-Aldrich) and apigenin 7-O-glucoside (Sigma-Aldrich). Stock solutions of the flavonoids were prepared in dimethyl sulfoxide (DMSO; Sigma-Aldrich) and diluted to a final solution of 1% with MQ water to determine the MIC or with PS to treat biofilms. A control with the same percentage of DMSO was included. A stock solution of sodium azide (NaN3) (Sigma-Aldrich) was prepared in MQ and further diluted in MHB prior to use.

Determination of the minimal inhibitory concentration

MICs were determined according to the EUCAST broth microdilution assay using flat-bottom 96-well microtiter plates (MTP; SPL Lifescience, Korea) [29]. The flavonoid concentrations ranged from 4 μM to 500 μM. CEF, MEM, MIN and CIP concentrations tested ranged from 0.5 μg/ml to 512 μg/ml; SXT concentrations tested ranged from 0.25/4 μg/ml to 256/4864 μg/ml. All aminoglycosides (TOB, GN, KN and NEO) were tested in a concentration range from 0.5 μg/ml to 4096 μg/ml. The MIC was defined as the lowest concentration with a similar optical density as un-inoculated growth medium. Absorbance was measured at 590 nm with a multilabel MTP reader (EnVision, Perkin Elmer LAS, Waltham, MA). All MIC determinations were performed in triplicate.

Biofilm formation

Biofilms were grown in clear round-bottomed 96-well plates (SPL) to evaluate their survival after treatment, or in black flat-bottomed 96-well plates (Perkin Elmer) for measuring fluorescence. An inoculum of approximately 5x107 CFU/ml was prepared in fresh medium from an overnight culture. 100 μl of this inoculum was added to the wells of a MTP. After 4 hours of adhesion the supernatant was removed and the wells were rinsed with PS. Subsequently, fresh medium was added to the wells and the MTP was further incubated for 20 hours at 37°C.

Biofilm treatment

To evaluate the effect of flavonoids on the susceptibility of biofilms towards antibiotics, biofilms were treated with following components: the antibiotic alone, the flavonoid alone, a combination of both, or PS as a control. All antibiotics were tested at concentrations of 4xMIC. The concentration of flavonoids was 100 μM to initially detect their potentiating activity. In subsequent experiments, a concentration of 250 μM was used for BH. All solutions were diluted in PS. When a stock solution was prepared in DMSO, a control with the same percentage DMSO was included. Biofilms were grown as described above. After 24 hours of biofilm formation the supernatant was removed and the wells were rinsed with PS. Subsequently, PS (= control), the antibiotic alone, the flavonoid alone or a combination of both was added to the wells. After 24 hours at 37°C, the supernatant was removed and the wells were rinsed with PS. Sessile cells were harvested from the MTP by two cycles of shaking (5 min, 900 rpm; Titramax 1000, Heidolph Instruments, Schwabach, Germany) and sonicating (5 min; Branson 3510, Branson Ultrasonics Corp, Danbury, CT, USA). The number of surviving cells (CFU/ml) was determined by plating the resulting bacterial suspension.

Transcriptomic analysis

To elucidate the molecular mechanism by which BH affects biofilm susceptibility towards TOB, transcriptomes of treated and untreated B. cenocepacia J2315 biofilm cells were compared using RNA sequencing. Gene expression was determined in 24 hour-old B. cenocepacia J2315 biofilms that were exposed to TOB alone (3 x MIC), BH alone (250 μM), a combination of both, or PS (= control) for 24 hours. These concentrations were selected because sufficient living cells remained for the RNA extraction, while a significant difference between TOB and TOB+BH could be observed. For each treatment, three biological replicates were included. Biofilm cells were harvested as described above with two cycles of vortexing and sonicating. Total RNA was extracted using Ambion RiboPure Bacteria Kit (Ambion, Austin, TX) according to the manufacturers’ instructions, including DNAse treatment for 1 hour at 37°C. The concentration and quality of the total extracted RNA was determined by using the Quant-it ribogreen RNA assay (Life Technologies, Grand Island, NY, USA) and the RNA 6000 pico chip (Agilent Technologies, Santa Clara, CA, USA), respectively. Subsequently, 200 ng of RNA was depleted for rRNA using the Ribo-Zero Magnetic Kit for Gram-negative Bacteria (Epicentre, Madison, WI, USA). Library preparation was performed using the Truseq stranded Total RNA library prep (Illumina, San Diego, CA, USA) according to manufacturer's instructions. Libraries were quantified by qPCR, according to Illumina's Sequencing Library qPCR Quantification protocol guide, version February 2011. A DNA 1000 chip (Agilent Technologies, Santa Clara, CA, US) was used to verify the library's size distribution and quality. Sequencing was performed on a high throughput Illumina NextSeq 500 flow cell generating 75 bp single reads. After an initial quality control using CLC Genomics Workbench version 8.5.1 (Qiagen, Venlo, Netherlands), the reads for each condition were mapped to the reference genome sequences (accession numbers AM747720, AM747721, AM747722, and AM747723) [30] (Cut-offs: 90% length and 80% similarity). The number of reads per transcript were divided by the transcript length and then normalized to the total amount of reads, obtaining reads per kb per million (RPKM) expression values. Statistical analysis was performed using Empirical DGE test in CLC genomics Workbench version 8.5.1. The effect of the addition of BH to treated cells (TOB) or untreated cells (PS) on gene expression was evaluated. The combination of TOB+BH was compared to treatment with TOB alone, and treatment with BH alone was compared to an untreated control (PS) to analyse the effect of BH on both treated and untreated cells. Only genes that were significantly differentially expressed (p-value < 0.05) and with at least a 1.5-fold change were considered. Results were evaluated using the KEGG Pathway Database [31] and Burkholderia Genome Database [32]. The experimental protocols and the raw sequencing data can be found in ArrayExpress under the accession number E-MTAB-6099.

Fluorometric determination of reactive oxygen species

To evaluate endogenous ROS production, a 2',7'-dichlorodihydrofluorescein diacetate (H2DCFDA)-based assay was used. H2DCFDA is a colourless, non-fluorescent compound that passively diffuses into the cell, where non-specific intracellular esterases cleave the acetate groups and so trap the compound in the cell. The cleaved product will be easily oxidized by intracellular ROS, yielding highly fluorescent 2',7'-dichlorofluorescein (DCF) [20]. Cells were pre-incubated with the dye before treatment to exclude differences in fluorescence due to an altered uptake by treated cells. Since this assay has been described as highly pH dependent, a pH-matched control was included [16]. For this assay, biofilms were cultivated as described above, while planktonic cultures were grown aerobically for 24 hours and were standardized to an optical density of 1 (λ = 590 nm). Biofilms and planktonic cultures were grown in LBB. After 24 hours the cells were rinsed with PS and incubated with 10 μM H2DCFDA in LBB shielded from light at 37°C. After 45 minutes the cells were rinsed with phosphate buffered saline (PBS) and treated with TOB (4xMIC), BH (250 μM) or a combination of both. A pH-matched control in PBS was included as a control for each condition. Fluorescence (λ excitation = 485 nm, λ emission = 535 nm) was measured using an Envision multilabel MTP reader. Net fluorescence was calculated by subtracting autofluorescence of bacterial cells incubated under the same conditions without H2DCFDA. Each experiment included at least three biological replicates.

Statistical data analysis

Statistical analysis was performed using SPSS version 24 software (SPSS, Chicago, IL, USA). The Shapiro-Wilk test was used to verify the normal distribution of the data. Normally distributed data were analysed using an ANOVA or an independent sample T-test. Non-normally distributed data were analysed using a Kruskal-Wallis test or a Mann-Whitney test. P-values smaller than 0.05 were considered significant.

Results and discussion

Determination of the potentiating effect of flavonoids on the antibiotic susceptibility of Bcc species

The ability of several structural analogues of BH to increase the susceptibility of B. cenocepacia J2315 towards TOB was evaluated. The analogues tested were scutellarin, luteolin 7-O-glucoside, schaftoside, myricitrin and apigenin 7-O-glucoside. First, the MIC on B. cenocepacia was determined in order to select a flavonoid concentration which did not inhibit growth of the bacterial cells (sub-MIC). For all flavonoids the MIC values were >500 μM for B. cenocepacia J2315. To limit the amount of DMSO in the final solution to 1%, a concentration of 100 μM was selected. When biofilms were treated with BH or apigenin 7-O-glucoside, an increased killing was observed compared to treatment with TOB alone (Fig 1). No potentiating effect was observed with any of the other flavonoids tested. These results were not surprising since small structural differences in flavonoids can influence their antimicrobial activity [33,34].

Fig 1. Potentiating effect of BH and other flavonoids.

Fig 1

Data shown are percentage survival of B. cenocepacia J2315 biofilm cells treated with the combination of a flavonoid (100 μM) and TOB (4 x MIC) compared to TOB alone. The tested flavonoids were scutellarin (scut), apigenin 7-O-glucoside (api), luteolin 7-O-glucoside (lut), schaftoside (scha), myricitrin (myr) and baicalin hydrate (BH). *: statistically significant (p < 0.05) less survival compared to TOB alone. Error bars are standard deviations (SD) (n = 4).

The effect of BH in combination with TOB on the susceptibility of B. cenocepacia J2315 was already established [24]. This raised the question if BH could increase the susceptibility of B. cenocepacia J2315 biofilms towards other antibiotics. Therefore, several antibiotics (CEF, CIP, MIN, MEM and SXT) belonging to different classes were tested in combination with BH. However, the addition of BH did not lead to a significantly increased susceptibility towards any of the antibiotics tested (S1 Fig and S1 Table). This suggests that the increased susceptibility towards TOB is specific to aminoglycosides. To test this hypothesis, other aminoglycosides (GN, KN and NEO) were tested in combination with BH against B. cenocepacia J2315 and other Bcc strains (Table 1). Since BH has no antibacterial effect, a significant antibacterial effect of the antibiotic alone is required in order to observe the potentiating influence of BH. Therefore, strains with a high innate resistance towards aminoglycosides (MIC ≥ 1024 μg/ml) were not included (S2 Table). The reduction in surviving cells after treatment with the combination compared to the aminoglycoside alone is shown in Table 2.

Table 2. Potentiating effect of BH in Bcc biofilms.

Strain TOB+BH vs. TOB GN+BH vs. GN KN+BH vs. KN NEO+BH vs. NEO
B. cenocepacia J2315T 88.9 (± 10.3) 80.6 (± 14.6) NR NR
B. cenocepacia K56-2 81.3 (± 40.0) 96.7 (± 11.5) NR 51.5 (± 44.1)
B. cenocepacia C5424 NR ND ND ND
B. cenocepacia AU1054 97.4 (± 10.4) ND 98.2 (± 1.4) ND
B. cenocepacia LMG18828 75.8 (± 51.1) NR ND ND
B. cenocepacia LMG18829 95.3 (± 5.7) 69.9 (± 30.5) NR 97.2 (± 6.2)
B. multivorans LMG13010T NR NR NR 98.1 (± 3.2)
B. multivorans LMG18825 NR NR NR NR
B. ambifaria LMG19182T NR 76.7 (± 32.2) NR 97.0 (± 7.6)

Data shown are percentage reduction in CFU/ml (±SD) when combination treatment is compared to the antibiotic alone (n = 3). NR, no significant reduction in CFU/ml when BH is added to the antibiotic treatment (p > 0.05). ND, not determined because MIC > 1024 μg/ml. Tobramycin (TOB) + BH (TOB+BH), gentamicin (GN) + BH (GN+BH), kanamycin (KN) + BH (KN+BH) and neomycin (NEO) + BH (NEO+BH).

All B. cenocepacia strains, except B. cenocepacia C5424, showed an increased susceptibility towards TOB in combination with BH. For GN, KN and NEO, the potentiating effect of BH was strain-dependent. For B. ambifaria LMG 19182, an increased susceptibility was observed towards GN and NEO in combination with BH. For B. multivorans strains, the addition of BH only caused an increased susceptibility for B. multivorans LMG 13010 in combination with NEO (Table 2). The findings for this strain are in contrast with previously obtained data by Brackman et al. [24], where BH did show a TOB-potentiating activity. However, the experimental setup of biofilm formation differs in both studies. Brackman et al. [24] used medical-grade silicone disks placed in 24-well plates, while 96-well microtiter plates were used in this study. These results indicate that the potentiating effect of BH is not only strain- and aminoglycoside-dependent, but also model-system dependent.

For subsequent experiments we used B. cenocepacia J2315 as the test strain and TOB as the aminoglycoside.

Effect of baicalin hydrate on gene expression in B. cenocepacia J2315 biofilms

To discover the molecular mechanism by which BH affects biofilm susceptibility towards TOB, transcriptomes of treated and untreated B. cenocepacia J2315 biofilm cells were compared using RNA sequencing. Results show that the addition of BH had a small but significant impact on gene expression, both for TOB treated and untreated cells (Fig 2). Major differences in gene expression were observed in pathways related to cellular respiration and QS. The genes significantly differentially expressed in these pathways are shown in Table 3. Genes responsible for the electron transport chain and TCA were upregulated, while the expression for genes encoding enzymes of the glyoxylate shunt showed a significant downregulation. These results point to a potential increase in intracellular oxidative stress, as Van Acker et al. [10] previously described an upregulation of glyoxylate shunt-related genes and a downregulation of genes related to the TCA cycle in B. cenocepacia biofilm cells after treatment with high concentrations of TOB. These cells were likely metabolically less active which leads to reduced ROS production [10]. We hypothesized that BH could stimulate cellular respiration, which subsequently would induce the production of ROS and lead to increased killing. As the oxidative stress response is partially controlled by QS [7] and as BH has already been described as a QS inhibitor [24,35] the focus in the search for the molecular mechanism of BH on the increase of the antibiotic susceptibility of B. cenocepacia biofilms was directed toward both QS and oxidative stress.

Fig 2. Differentially expressed genes in B. cenocepacia J2315 biofilms exposed to different treatments.

Fig 2

A. Downregulated genes. B. Upregulated genes.

Table 3. Differences in gene expression expressed as fold change (p < 0.05) caused by BH (compared to TOB or to an untreated control) in B. cenocepacia J2315.
Gene number Annotation BH vs. ctrl TOB+BH vs. TOB
Glyoxylate shunt
BCAL2122 (aceB) Malate synthase - -1.4
BCAL2118 (aceA) Isocitrate lyase AceA - -1.5
BCAM1588 Isocitrate lyase - -1.9
TCA cycle
BCAM0972 (gltA) Type II citrate synthase - 1.8
BCAM0961 (acnA) Aconitate hydratase - 1.7
BCAL1215 (lpdV) Dihydrolipoamide dehydrogenase - 1.5
BCAL1517 (odhL) Dihydrolipoamide dehydrogenase - 1.7
BCAM1250 Putative acetyl-CoA hydrolase/transferase 1.6 1.5
BCAM0970 (sdhB) Succinate dehydrogenase iron-sulfur protein - 1.6
Pyruvate metabolism
BCAM1581 (pckG) Phosphoenolpyruvate carboxykinase - 2.0
BCAL1910 Acetoin:2,6-dichlorophenolindophenol oxidoreductase beta subunit 1.6 -
Oxidative phosphorylation
BCAL2337 NADH dehydrogenase I chain H - 1.5
BCAL2336 NADH dehydrogenase I chain I - 1.8
BCAL2335 (nuoJ) NADH dehydrogenase I chain J - 1.5
BCAL2334 (nuoK) NADH-ubiquinone oxidoreductase I chain K - 1.8
BCAL2333 (nuoL) NADH-ubiquinone oxidoreductase I chain L - 1.5
BCAL2332 (nuoM) NADH-ubiquinone oxidoreductase I chain M - 1.6
BCAL2331 (nuoN) NADH dehydrogenase I chain N - 1.6
BCAM0905 (ndh) Putative NADH dehydrogenase - -1.4
BCAM0166 (ndh) NADH dehydrogenase -2.6 -
BCAM0970 (sdhB) Succinate dehydrogenase iron-sulfur protein - 1.6
BCAL0759 (ubiA) Prenyltransferase family protein - 1.4
BCAL2141 (cyoD) Cytochrome O ubiquinol oxidase protein - 1.6
BCAL0752 Putative cytochrome c oxidase assembly protein - 1.6
BCAM1734 Putative cytochrome C - 1.7
BCAL2142 (cyoC) Cytochrome o ubiquinol oxidase subunit III - 2.0
BCAL2143 (cyoB) Ubiquinol oxidase polypeptide I - 1.5
BCAM2674 Putative cytochrome oxidase subunit I -1.6 -
BCAL0784 (cydB) Cytochrome d ubiquinol oxidase subunit II - 1.5
BCAL0034 (atpA) ATP synthase alpha chain - 1.7
BCAL0031 (atpE) ATP synthase C chain - 1.7
BCAL2622 (ppa) Polyphosphate kinase - -1.5
Glucarate/galactarate metabolism to 2-oxo-glutarate
BCAL1043 (gudD) Glucarate dehydratase 2.6 1.5
BCAM2511 (garD) Putative galactarate dehydratase 2.3 1.6
BCAM2512 5-dehydro-4-deoxyglucarate dehydratase 2.2 2.9
BCAM2514* Putative fatty aldehyde dehydrogenase 2.0 1.6
Quorum sensing
BCAM1870 (cepI) N-acylhomoserine lactone synthase CepI - 1.5
BCAM0239a (cciI) N-acylhomoserine lactone synthase - -1.6
BCAM0240 (cciR) N-acylhomoserine lactone dependent regulatory protein - -2.3
Oxidative stress response
BCAS0085 (ohr) Organic hydroperoxide resistance protein - -1.7
BCAL3477 Putative catalase - -1.5
BCAL3301 (oxyR) Oxidative stress regulatory protein - -1.8
BCAL2643 (sodC) Superoxide Dismutase SodC - -1.5
BCAL2641 Putative ornithine decarboxylase - -2.1
BCAM1812 Agmatinase -1.8 -1.4

Effect of baicalin hydrate on oxidative stress

The effect of BH on oxidative stress was evaluated by testing the susceptibility of a catalase deletion mutant (ΔkatB) and the corresponding wild type strain (B. cenocepacia C5424) towards the combination BH+TOB. We hypothesised that if BH increases ROS-mediated killing by antibiotics, a mutant that lacks protection against oxidative stress would be more sensitive towards the potentiating effect of BH than the wild type. As shown in Fig 3, there was no increase in susceptibility for the wild type after combining BH with TOB. As previously described [16], TOB treatment of the katB deletion mutant resulted in more killing than in the wild type. Furthermore, addition of BH led to a significant further increase in susceptibility of the biofilm cells to TOB in the mutant (but not in the WT). In addition, the effect was more pronounced using higher concentrations of BH, suggesting a dose-dependent effect (Fig 3).

Fig 3. Potentiating effect of BH in B. cenocepacia ΔkatB.

Fig 3

Data shown are the average log(CFU/ml) recovered after 24h treatment of mature biofilms of B. cenocepacia C5424 (WT) and its catalase deletion mutant (ΔkatB) with 4 x MIC TOB (MIC for both strains = 128 μg/ml), and TOB in combination with BH (100 μM and 250 μM). *: significant difference (p < 0.05) compared to TOB alone **: significant difference (p < 0.05) compared to the wild type. Error bars represents SD (n = 3).

From the transcriptomic analysis we learned that no changes in expression were observed for respiration-related genes upon exposure to BH alone, suggesting the effect of BH on biofilm susceptibility is antibiotic-mediated. This was confirmed by the lack of an effect by BH alone on WT or ΔkatB biofilms (Fig 3).

To confirm the role of BH in promoting ROS-mediated killing, endogenous ROS accumulation was measured using the H2DCFDA assay. In this assay, fluorescence generated is a measure for the amount of ROS present in the cell. Almost a 2-fold increase in fluorescence is observed when B. cenocepacia J2315 biofilms were treated with TOB compared to the untreated control. Another 2-fold increase is observed when BH is combined with TOB, compared to TOB alone (Fig 4). This confirms an increased production of ROS in the cells treated with TOB+BH.

Fig 4. ROS production in B. cenocepacia J2315 biofilms after treatment with TOB alone or in combination with BH.

Fig 4

Accumulation of ROS in B. cenocepacia J2315 biofilms, expressed as fluorescence generated after incubation with H2DCFDA, after 24 hours treatment with TOB (4 x MIC), TOB in combination with BH (250 μM) or an untreated pH-matched control. Data presented are means, error bars are standard deviations. The experiment was conducted six times. *: Significant difference (p < 0.05) compared to treatment with TOB alone.

Baicalin hydrate as a quorum sensing inhibitor

As the oxidative stress response is co-regulated by QS [7,16] and as BH has been described as a QS inhibitor [24], we hypothesized that BH inhibits QS and as a result increases ROS production in B. cenocepacia. To test this hypothesis, ROS production in a triple QS mutant (ΔcepIΔcciIΔrpfF) was compared to ROS production in the wild type after treatment with TOB and BH. A triple QS mutant was chosen over single ΔcepI or ΔcciI mutants in order to avoid biased results caused by the complex interaction between the three QS networks in B. cenocepacia J2315 [26,36]. The H2DCFDA assay was carried out on planktonic cells to eliminate nonspecific effects due to the reduced biofilm formation of the triple QS mutant [26]. We observed a significant increase in the amount of ROS in the triple QS mutant compared to the wild type for the control and TOB treatments (Fig 5). The increased amount of ROS is probably due to a lack of oxidative stress response in the triple QS mutant, as previously described [16]. Surprisingly, the addition of BH resulted in an increased ROS production in the triple QS mutant compared to TOB alone. Also, no difference was observed between the triple QS mutant and the wild type for the combination treatment. Whether these findings mean that the effect of BH on oxidative stress is unrelated to QS or whether the maximal amount of ROS has been reached (and cannot further be increased by addition of BH) remains to be determined.

Fig 5. ROS production in B. cenocepacia J2315 and its triple QS mutant after treatment with TOB alone or in combination with BH.

Fig 5

Accumulation of ROS, expressed as fluorescence (average ± SD) generated after incubation with H2DCFDA, in planktonic cultures of B. cenocepacia J2315 and its triple QS mutant treated with TOB (4 x MIC) or the combination with BH (250 μM) and a pH-matching control after 16 hours. MIC for TOB was 256 μg/ml and 128 μg/ml for the wild type and its triple QS mutant respectively. The experiment was conducted using six biological replicates. *: statistically significant difference compared to the wild type (p < 0.05).

Remarkably, the data obtained from RNA sequencing revealed an upregulation of genes involved in the main QS systems when BH and TOB were combined (Table 3). cciR (BCAM0240) and cciI (BCAM0239A) are both located on chromosome 2, and are co-transcribed [37]. They encode CciR and CciI, which are mainly negative regulators of QS-related genes, and showed a significant downregulation of 2.3 and 1.6 fold, respectively. cepI (BCAM1870) and cepR (BCAM1868) are also located on chromosome 2, but are divergently transcribed [37]. CepI, the synthase of the CepIR system which is mainly a positive regulator, was 1.5 fold upregulated. These results are in accordance with results from a previous study in which an upregulation of cepI was observed in several stress conditions (including low oxygen and high temperature) [13]. It is conceivable that the upregulation of these QS systems is not a direct result of the presence of BH, but rather an indirect effect, possibly due to differences in growth stages after both treatments. This is in agreement with observations by Brackman et al [38], where the addition of BH to biofilms at the same growth stage resulted in a downregulation in expression of QS-regulated genes.

Based on these results, we could not confirm a direct link between QS and the effect of BH on oxidative stress. Therefore other mechanisms were considered in the search of a mode of action for BH.

Influence of baicalin hydrate on cellular respiration

An upregulation of the expression of genes involving the oxidative phosphorylation and TCA cycle was observed upon the addition of BH to TOB treatment (Table 3). This suggests that BH increases respiration, which could increase TOB-mediated killing.

To evaluate the influence of BH on oxidative phosphorylation, the effect of a cytochrome c oxidase inhibitor (sodium azide, NaN3) on the potentiation of TOB by BH was investigated. Biofilms were pre-treated with NaN3, BH, or a combination of both. After 4 hours, TOB was added to the pre-treated cells for an additional 20 hours. Data in Fig 6 depict the percentage of surviving cells compared to their respective controls. There is no increase in surviving cells between sessile cells treated with TOB and NaN3 compared to TOB alone. However, when NaN3 was combined with TOB+BH, a significant increase in surviving cells could be observed compared to TOB+BH alone, showing that the addition of NaN3 suppressed the potentiating effect of BH. These results are in accordance with data showing increased production of ROS (Fig 4), since an increased activity of the electron transport chain will result in an increased production of ROS [11]. Together our data suggest an influence of BH on the proton motive force, leading to potentiation of the activity of TOB. It was previously shown that metabolic stimulation of the TCA cycle can increase susceptibility towards aminoglycosides, but not to other classes of antibiotics [39]. This is in line with the findings in the present study.

Fig 6. Effect of electron transport chain inhibition by NaN3 on BH-mediated TOB potentiation.

Fig 6

Percentage of surviving cells (±SD) after treatment compared to their respective controls (which received a pre-treatment but no antibiotic). Final concentrations of NaN3, BH and TOB were 150 μM, 250 μM and 1024 μg/ml (4 x MIC) respectively. Pre-treated cells received BH, NaN3, a combination of both or MHB for 4 hours. The experiment was conducted in triplicate. *: significant difference (p < 0.05) between sessile cells not treated with NaN3. **: significant difference (p < 0.05) between sessile cells when NaN3 is included in the treatment.

Influence of baicalin hydrate on glucarate metabolism

As RNAseq data revealed an upregulation of genes involved in cellular respiration, we looked for changes in the expression of genes involved in turnover of compounds feeding into the TCA cycle.

The only pathway with a direct link to the TCA cycle that showed upregulation of multiple genes was that for glucarate utilisation (Fig 7). D-glucarate, the dicarboxylic acid analogue of glucose, can serve as a growth substrate in many bacteria [40]. According to the biochemical pathways in the KEGG database, B. cenocepacia J2315 is able to use two pathways for the utilization of D-glucarate [31]. In the first pathway D-glucarate is converted to D-glycerate and finally to 2-phosphoglycerate, which is a metabolite in the glycolytic pathway [41]. In the second pathway three enzymatic steps lead to the generation of ɑ-ketoglutarate as an end product, which is a key substrate in the TCA cycle [42].

Fig 7. BH affects regulation of genes involved in glucarate metabolism of B. cenocepacia J2315.

Fig 7

The reactions depicted in black are significantly (p < 0.05) upregulated (fold changes of “BH vs. Ctrl” / “TOB+BH vs TOB”). The involved enzymes are gudD (glucarate dehydratase), BCAM2512 (5-keto-4-deoxyglutarate dehydratase) and BCAM2514 (ɑ-ketoglutarate semialdehyde dehydrogenase). For the reactions depicted in grey no significant differential expression in either “BH vs. Ctrl” or “TOB+BH vs TOB” was observed.

The expression of genes involved in the pathway generating D-glycerate was unaffected by addition of BH. However, in the other pathway, a significant upregulation (2.6-fold) was observed for glucarate dehydratase (gudD) upon the addition of BH. Also for 5-keto-4-deoxyglutarate dehydratase (BCAM2512) and ɑ-ketoglutarate semialdehyde dehydrogenase (BCAM2514), genes coding for enzymes involved in generating ɑ-ketoglutarate [43], a significant upregulation could be observed (2.2-fold and 2.0-fold, respectively). This was also the case when gene expression was compared between cells exposed to the combination of TOB and BH, and those exposed to TOB alone: gudD, BCAM2512 and BCAM2514 showed a 1.5-fold, 2.9-fold, and 1.6-fold increased expression, respectively (Fig 7).

To further investigate the involvement of glucarate metabolism in the potentiating activity of BH, glucarate was added to sessile cells treated with TOB and TOB+BH. The glucarate+TOB treatment caused a significant reduction in the number of surviving cells compared to TOB alone. This reduction was similar to that observed for the combinations TOB+BH and TOB+BH+glucarate (Fig 8). Our data suggest that stimulation of the glucarate degradation pathway (by adding glucarate or BH) increases cellular metabolism and increases susceptibility to TOB. When both compounds are added simultaneously, the pathway is not more stimulated than it is by either one of the compounds, resulting in a similar reduction in surviving cells.

Fig 8. Impact of glucarate and BH on the susceptibility of B. cenocepacia J2315 biofilms towards TOB.

Fig 8

Data shown are the percentage surviving cells compared to TOB treatment alone. *: significantly less surviving cells compared to TOB alone (p < 0.05). Error bars show SD (n = 3).

Influence of baicalin hydrate on putrescine biosynthesis

Bacteria can produce polyamines that quench ROS and protect membranes against lipid peroxidation [11]. Polyamines are small aliphatic molecules with multiple amino groups, which are protonated at physiological pH. The most common cellular polyamines are putrescine, spermidine, spermine and cadaverine [44]. The most abundant one in B. cenocepacia is putrescine, whereas spermidine and cadaverine are produced in lower amounts [45]. B. cenocepacia can produce putrescine via two different pathways. In the first pathway ornithine decarboxylase (ODC) converts ornithine to putrescine. The second pathway uses arginine as a start product, which is decarboxylated to agmatine by arginine decarboxylase (ADC). In a following step, agmatine is converted to putrescine by agmatinase, releasing urea [28]. B. cenocepacia has two ODC homologues (BCAM1111 and BCAL2641) and one ADC homologue (BCAM1112) (Fig 9). El-Halfawy et al. [28] demonstrated that these three genes are the only contributors to putrescine production in B. cenocepacia, and that BCAL2641 is the key enzyme in protection against antibiotic-mediated oxidative stress. They also showed that the ODC BCAL2641 responds to antibiotic stress by increasing putrescine levels. The other ODC BCAM1111 and ADC BCAM1112 were not affected by exogenous stress and their expression appeared to be regulated by BCAL2641. This suggests that the increased levels of putrescine upon antibiotic stress depend on the activity of BCAL2641. Increased putrescine levels can induce expression of oxyR which activates oxidative stress response mechanisms, whereas a reduced putrescine biosynthesis resulted in an increased ROS generation [28].

Fig 9. BH affects regulation of genes involved in putrescine biosynthesis of B. cenocepacia J2315.

Fig 9

The reactions depicted in black are significantly (p < 0.05) differentially regulated (fold changes of “BH vs. Ctrl” / “TOB+BH vs TOB”). The enzymes involved the putrescine synthesis pathway are ornithine decarboxylase (ODC), arginine decarboxylase (ADC) and agmatinase. NS: no significant change in gene expression (p > 0.05).

The key enzyme in putrescine biosynthesis (ODC, BCAL2641) was significantly downregulated (-2.1-fold) in cells treated with TOB+BH compared to treatment with TOB alone. Since this enzyme protects against oxidative stress in B. cenocepacia [28], we hypothesized that BH causes a downregulation of BCAL2641 which would lead to an inhibition of putrescine synthesis, resulting in impaired oxidative stress response leading to increased biofilm susceptibility towards TOB. To test this hypothesis, we investigated the potentiating effect of BH in a ΔBCAL2641 mutant and the corresponding WT strain (B. cenocepacia K56-2) [28]. Biofilms were treated with TOB alone (8 x MIC) and a combination of TOB (8 x MIC) and BH (250 μM) (Fig 10). The ΔBCAL2641 deletion mutant is more susceptible to TOB than the wild type, indicating that putrescine protects against oxidative stress, as previously described [12,28]. Furthermore, there is no difference between wild type and mutant when cells were treated with TOB + BH. This could indicate that the potentiating effect of BH is indeed linked to regulation of BCAL2641 expression by BH. Together, these results suggest that BH affects putrescine biosynthesis, and by doing so affects the oxidative stress response, leading to an increased biofilm susceptibility.

Fig 10. Influence of BH on TOB susceptibility of B. cenocepacia K56-2 biofilms and its ΔBCAL2641 mutant.

Fig 10

Data are averages of log(CFU/ml) surviving cells after treatment with TOB (8 x MIC) alone or in combination with BH (250 μM). Influence of BH on biofilm susceptibility was evaluated in B. cenocepacia K56-2 (wild type) and its ΔBCAL2641 deletion mutant. The MIC for TOB in both strains was 128 μg/ml. The experiment was conducted in triplicate. *: significantly different compared to the wild type (p < 0.05). **: significant difference compared to TOB alone (p < 0.05). Error bars are SD.

Concluding remarks

Several studies already indicated that changes in metabolism upon antibiotic treatment play an important role in the effect of antibiotics [10,15,19,20,22]. These metabolic shifts allow the bacteria to enter a protective state by reducing cellular growth, by limiting ROS production [46] and/or by reducing antibiotic uptake [39]. Especially aminoglycosides can be affected by the latter, since their uptake is an energy-requiring process [39].

In conclusion, the addition of BH to TOB treatment increases oxidative stress in B. cenocepacia J2315 biofilms compared to treatment with TOB alone. The potentiating activity of BH appears to be strain-, aminoglycoside- and model-system dependent. While the exact mode of action is still not entirely clear, we have shown that BH has an impact on oxidative stress by influencing oxidative phosphorylation, glucarate metabolism and the protective response by putrescin. Combined, these factors cause an increased ROS production and increased killing upon exposure to TOB.

Supporting information

S1 Fig. Potentiating effect of BH in combination with several antibiotics on B. cenocepacia J2315 biofilms.

Data shown are percentage survival of B. cenocepacia J2315 biofilm cells treated with the combination of BH (250 μM) with antibiotic compared to the antibiotic alone (4 x MIC) (MICs are shown in S1 Table). The antibiotics are ceftazidime (CEF), ciprofloxacin (CIP), minocycline (MIN), meropenem (MEM) and co-trimoxazole (SXT). None of the combination treatments were significantly different (p > 0.05) compared to the antibiotic alone (n = 3).

(TIF)

S1 Table. MICs of B. cenocepacia J2315 for several antimicrobial agents.

(XLSX)

S2 Table. MIC (μg/ml) of other tested Bcc species for several aminoglycosides, including tobramycin (TOB), kanamycin (KN), neomycin (NEO) and gentamicin (GN).

(XLSX)

Acknowledgments

The authors are grateful to M. Valvano and G. Riccardi for providing mutant strains.

Data Availability

All relevant data are within the paper and its Supporting Information files. The raw sequencing data can be found in ArrayExpress under the accession number E-MTAB-6099.

Funding Statement

This work was supported by Bijzonder Onderzoeksfonds of Ghent University (BE) (Grant number BOF13/24j/017) and Interuniversitary Attraction Pole Program - Belspo (Grant number P7/28) to TC, and a FWO-Vlaanderen grant to HVA (Grant number FWO14/PDO/174). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.De Smet B, Mayo M, Peeters C, Zlosnik JEA, Spilker T, Hird TJ, et al. Burkholderia stagnalis sp. nov. and Burkholderia territorii sp. nov., two novel Burkholderia cepacia complex species from environmental and human sources. Int J Syst Evol Microbiol. 2015;65(7):2265–71. doi: 10.1099/ijs.0.000251 [DOI] [PubMed] [Google Scholar]
  • 2.Reik R, Spilker T, Lipuma JJ. Distribution of Burkholderia cepacia Complex Species among Isolates Recovered from Persons with or without Cystic Fibrosis Distribution of Burkholderia cepacia Complex Species among Isolates Recovered from Persons with or without Cystic Fibrosis. J Clin Microbiol. 2005;43(6):2926–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Conway BD, Venu V, Speert DP. Biofilm Formation and Acyl Homoserine Lactone Production in the Burkholderia cepacia Complex Biofilm Formation and Acyl Homoserine Lactone Production in the Burkholderia cepacia Complex. J Bacteriol. 2002;184(20):5678–85. doi: 10.1128/JB.184.20.5678-5685.2002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Burmølle M, Thomsen TR, Fazli M, Dige I, Christensen L, Homøe P, et al. Biofilms in chronic infections—A matter of opportunity—Monospecies biofilms in multispecies infections. FEMS Immunol Med Microbiol. 2010;59(3):324–36. doi: 10.1111/j.1574-695X.2010.00714.x [DOI] [PubMed] [Google Scholar]
  • 5.Fux CA, Costerton JW, Stewart PS, Stoodley P. Survival strategies of infectious biofilms. Trends Microbiol. 2005;13(1):34–40. doi: 10.1016/j.tim.2004.11.010 [DOI] [PubMed] [Google Scholar]
  • 6.Coenye T. Social interactions in the Burkholderia cepacia complex: biofilms and quorum sensing. Future Microbiol. 2010;5(7):1087–99. doi: 10.2217/fmb.10.68 [DOI] [PubMed] [Google Scholar]
  • 7.O’Grady EP, Viteri DF, Malott RJ, Sokol PA. Reciprocal regulation by the CepIR and CciIR quorum sensing systems in Burkholderia cenocepacia. BMC Genomics. 2009;10:441 doi: 10.1186/1471-2164-10-441 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Suppiger A, Schmid N, Aguilar C, Pessi G, Eberl L. Two quorum sensing systems control biofilm formation and virulence in members of the Burkholderia cepacia complex. Virulence. 2013;4(5):400–9. doi: 10.4161/viru.25338 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Fazli M, Almblad H, Rybtke ML, Givskov M, Eberl L, Tolker-Nielsen T. Regulation of biofilm formation in Pseudomonas and Burkholderia species. Environ Microbiol. 2014;16(7):1961–81. doi: 10.1111/1462-2920.12448 [DOI] [PubMed] [Google Scholar]
  • 10.Van Acker H, Van Dijck P, Coenye T. Molecular mechanisms of antimicrobial tolerance and resistance in bacterial and fungal biofilms. Trends Microbiol. 2014;22(6):326–33. doi: 10.1016/j.tim.2014.02.001 [DOI] [PubMed] [Google Scholar]
  • 11.Van Acker H, Coenye T. The Role of Reactive Oxygen Species in Antibiotic-Mediated Killing of Bacteria. Trends Microbiol. 2017;25(6):456–66. doi: 10.1016/j.tim.2016.12.008 [DOI] [PubMed] [Google Scholar]
  • 12.Tkachenko AG, Akhova AV, Shumkov MS, Nesterova LY. Polyamines reduce oxidative stress in Escherichia coli cells exposed to bactericidal antibiotics. Res Microbiol. 2012;163(2):83–91. doi: 10.1016/j.resmic.2011.10.009 [DOI] [PubMed] [Google Scholar]
  • 13.Sass AM, Schmerk C, Agnoli K, Norville PJ, Eberl L, Valvano MA, et al. The unexpected discovery of a novel low-oxygen-activated locus for the anoxic persistence of Burkholderia cenocepacia. ISME J. 2013;14(10):1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Dwyer DJ, Kohanski M a, Hayete B, Collins JJ. Gyrase inhibitors induce an oxidative damage cellular death pathway in Escherichia coli. Mol Syst Biol. 2007;3(91):91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kohanski MA, Dwyer DJ, Hayete B, Lawrence CA, Collins JJ. A Common Mechanism of Cellular Death Induced by Bactericidal Antibiotics. Cell. 2007;130(5):797–810. doi: 10.1016/j.cell.2007.06.049 [DOI] [PubMed] [Google Scholar]
  • 16.Van Acker H, Gielis J, Acke M, Cools F, Cos P, Coenye T. The role of reactive oxygen species in antibiotic-induced cell death in Burkholderia cepacia complex bacteria. PLoS One. 2016;11(7):1–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Dwyer DJ, Collins JJ, Walker GC. Unraveling the Physiological Complexities of Antibiotic Lethality. Annu Rev Pharmacol Toxicol. 2015;55(1):313–32. [DOI] [PubMed] [Google Scholar]
  • 18.Kohanski MA, Dwyer DJ, Collins JJ. How antibiotics kill bacteria: from targets to networks. Nat Rev Microbiol. 2010;8(6):423–35. doi: 10.1038/nrmicro2333 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Belenky P, Ye JD, Porter CBM, Cohen NR, Lobritz MA, Ferrante T, et al. Bactericidal Antibiotics Induce Toxic Metabolic Perturbations that Lead to Cellular Damage. Cell Rep. 2015;13(5):968–80. doi: 10.1016/j.celrep.2015.09.059 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Van Acker H, Sass A, Bazzini S, De Roy K, Udine C, Messiaen T, et al. Biofilm-Grown Burkholderia cepacia Complex Cells Survive Antibiotic Treatment by Avoiding Production of Reactive Oxygen Species. PLoS One. 2013;8(3):1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Meylan S, Porter CBM, Yang JH, Belenky P, Gutierrez A, L M.A. Park J, et al. Carbon Sources Tune Antibiotic Susceptibility in Pseudomonas aeruginosa via Tricarboxylic Acid Cycle Control. Cell Chem Biol. 2017;24(2):196–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Thomas V, Kinkead L. A Dysfunctional Tricarboxylic Acid Cycle Enhances Fitness of Staphylococcus epidermidis during beta-Lactam Stress. MBio. 2014;4(4):1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Wright GD. Antibiotic Adjuvants: Rescuing Antibiotics from Resistance. Trends Microbiol. 2016;24(11):862–71. doi: 10.1016/j.tim.2016.06.009 [DOI] [PubMed] [Google Scholar]
  • 24.Brackman G, Cos P, Maes L, Nelis HJ, Coenye T. Quorum sensing inhibitors increase the susceptibility of bacterial biofilms to antibiotics in vitro and in vivo. Antimicrob Agents Chemother. 2011;55(6):2655–61. doi: 10.1128/AAC.00045-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Moghaddam E, Teoh B-T, Sam S-S, Lani R, Hassandarvish P, Chik Z, et al. Baicalin, a metabolite of baicalein with antiviral activity against dengue virus. Sci Rep. 2014;4:5452 doi: 10.1038/srep05452 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Udine C, Brackman G, Bazzini S, Buroni S, van Acker H, Pasca MR, et al. Phenotypic and Genotypic Characterisation of Burkholderia cenocepacia J2315 Mutants Affected in Homoserine Lactone and Diffusible Signal Factor-Based Quorum Sensing Systems Suggests Interplay between Both Types of Systems. PLoS One. 2013;8(1):7–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Lefebre MD, Flannagan RS, Valvano MA. A minor catalase/peroxidase from Burkholderia cenocepacia is required for normal aconitase activity. Microbiology. 2005;151(6):1975–85. [DOI] [PubMed] [Google Scholar]
  • 28.El-Halfawy OM, Valvano MA. Putrescine reduces antibiotic-induced oxidative stress as a mechanism of modulation of antibiotic resistance in Burkholderia cenocepacia. Antimicrob Agents Chemother. 2014;58(7):4162–71. doi: 10.1128/AAC.02649-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.EUCAST. Determination of minimum inhibitory concentrations (MICs) of antibacterial agents by agar dilution. Clin Microbiol Infect. 2003;6(9):509–15. [DOI] [PubMed] [Google Scholar]
  • 30.Holden MTG, Seth-Smith HMB, Crossman LC, Sebaihia M, Bentley SD, Cerdeño-Tárraga AM, et al. The genome of Burkholderia cenocepacia J2315, an epidemic pathogen of cystic fibrosis patients. J Bacteriol. 2009;91(1):261–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.KEGG pathway database. 2017. Available from: http://www.genome.jp/kegg/pathway.html?sess=2764b8338258d6286de91bbebe6faf46
  • 32.Burkholderia genome database. 2017. Available from: http://beta.burkholderia.com/
  • 33.Paczkowski JE, Mukherjee S, McCready AR, Cong JP, Aquino CJ, Kim H, et al. Flavonoids suppress Pseudomonas aeruginosa virulence through allosteric inhibition of quorum-sensing Receptors. J Biol Chem. 2017;292(10):4064–76. doi: 10.1074/jbc.M116.770552 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Kalia VC. Quorum sensing vs quorum quenching: A battle with no end in sight Quorum Sensing vs Quorum Quenching: A Battle with no end in Sight. 2015. 1–391 p. [Google Scholar]
  • 35.Brackman G, Hillaert U, Van Calenbergh S, Nelis HJ, Coenye T. Use of quorum sensing inhibitors to interfere with biofilm formation and development in Burkholderia multivorans and Burkholderia cenocepacia. Res Microbiol. 2009;160(2):144–51. doi: 10.1016/j.resmic.2008.12.003 [DOI] [PubMed] [Google Scholar]
  • 36.Subramoni S, Sokol PA. Quorum sensing systems influence Burkholderia cenocepacia virulence. Future Microbiol. 2012;7(12):1373–87. doi: 10.2217/fmb.12.118 [DOI] [PubMed] [Google Scholar]
  • 37.O’Grady EP, Viteri DF, Sokol PA. A unique regulator contributes to quorum sensing and virulence in Burkholderia cenocepacia. PLoS One. 2012;7(5). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Brackman G, Coenye T. Comment on: Synergistic antibacterial efficacy of early combination treatment with tobramycin and quorum-sensing inhibitors against Pseudomonas aeruginosa in an intraperitoneal foreign-body infection mouse model. J Antimicrob Chemother. 2013. September 1;68(9):2176–7. doi: 10.1093/jac/dkt151 [DOI] [PubMed] [Google Scholar]
  • 39.Allison KR, Brynildsen MP, Collins JJ. Metabolite-enabled eradication of bacterial persisters by aminoglycosides. Nature. 2011;473(7346):216–20. doi: 10.1038/nature10069 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Blumenthal HJ, Fish DC. Bacterial conversion of D-glucarate to glycerate and pyruvate. Biochem Biophys Res Commun. 1963;11(3):239–43. [DOI] [PubMed] [Google Scholar]
  • 41.Hubbard BK, Koch M, Palmer DRJ, Babbitt PC, Gerlt JA. Evolution of enzymatic activities in the enolase superfamily: Characterization of the (D)-glucarate/galactarate catabolic pathway in Escherichia coli. Biochemistry. 1998;37(41):14369–75. doi: 10.1021/bi981124f [DOI] [PubMed] [Google Scholar]
  • 42.Czaplewski L, Bax R, Clokie M, Dawson M, Fairhead H, Fischetti VA, et al. Alternatives to antibiotics-a pipeline portfolio review. Lancet Infect Dis. 2016;16(2):239–51. doi: 10.1016/S1473-3099(15)00466-1 [DOI] [PubMed] [Google Scholar]
  • 43.Richard P, Hilditch S. D-Galacturonic acid catabolism in microorganisms and its biotechnological relevance. Appl Microbiol Biotechnol. 2009;82(4):597–604. doi: 10.1007/s00253-009-1870-6 [DOI] [PubMed] [Google Scholar]
  • 44.Shah P, Swiatlo E. A multifaceted role for polyamines in bacterial pathogens. Mol Microbiol. 2008;68(1):4–16. doi: 10.1111/j.1365-2958.2008.06126.x [DOI] [PubMed] [Google Scholar]
  • 45.El-Halfawy OM, Valvano MA. Chemical Communication of Antibiotic Resistance by a Highly Resistant Subpopulation of Bacterial Cells. PLoS One. 2013;8(7). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Baek SH, Li AH, Sassetti CM. Metabolic regulation of mycobacterial growth and antibiotic sensitivity. PLoS Biol. 2011;9(5). [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Fig. Potentiating effect of BH in combination with several antibiotics on B. cenocepacia J2315 biofilms.

Data shown are percentage survival of B. cenocepacia J2315 biofilm cells treated with the combination of BH (250 μM) with antibiotic compared to the antibiotic alone (4 x MIC) (MICs are shown in S1 Table). The antibiotics are ceftazidime (CEF), ciprofloxacin (CIP), minocycline (MIN), meropenem (MEM) and co-trimoxazole (SXT). None of the combination treatments were significantly different (p > 0.05) compared to the antibiotic alone (n = 3).

(TIF)

S1 Table. MICs of B. cenocepacia J2315 for several antimicrobial agents.

(XLSX)

S2 Table. MIC (μg/ml) of other tested Bcc species for several aminoglycosides, including tobramycin (TOB), kanamycin (KN), neomycin (NEO) and gentamicin (GN).

(XLSX)

Data Availability Statement

All relevant data are within the paper and its Supporting Information files. The raw sequencing data can be found in ArrayExpress under the accession number E-MTAB-6099.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES