3 Jun 2016: Lee SY, Kim GH, Yun SH, Choi CW, Yi YS, et al. (2016) Correction: Proteogenomic Characterization of Monocyclic Aromatic Hydrocarbon Degradation Pathways in the Aniline-degrading Bacterium Burkholderia sp. K24. PLOS ONE 11(6): e0157201. https://doi.org/10.1371/journal.pone.0157201 View correction
Burkholderia sp. K24, formerly known as Acinetobacter lwoffii K24, is a soil bacterium capable of utilizing aniline as its sole carbon and nitrogen source. Genomic sequence analysis revealed that this bacterium possesses putative gene clusters for biodegradation of various monocyclic aromatic hydrocarbons (MAHs), including benzene, toluene, and xylene (BTX), as well as aniline. We verified the proposed MAH biodegradation pathways by dioxygenase activity assays, RT-PCR, and LC/MS-based quantitative proteomic analyses. This proteogenomic approach revealed four independent degradation pathways, all converging into the citric acid cycle. Aniline and p-hydroxybenzoate degradation pathways converged into the β-ketoadipate pathway. Benzoate and toluene were degraded through the benzoyl-CoA degradation pathway. The xylene isomers, i.e., o-, m-, and p-xylene, were degraded via the extradiol cleavage pathways. Salicylate was degraded through the gentisate degradation pathway. Our results show that Burkholderia sp. K24 possesses versatile biodegradation pathways, which may be employed for efficient bioremediation of aniline and BTX.
Citation: Lee S-Y, Kim G-H, Yun SH, Choi C-W, Yi Y-S, Kim J, et al. (2016) Proteogenomic Characterization of Monocyclic Aromatic Hydrocarbon Degradation Pathways in the Aniline-Degrading Bacterium Burkholderia sp. K24. PLoS ONE 11(4): e0154233. https://doi.org/10.1371/journal.pone.0154233
Editor: Willem J.H. van Berkel, Wageningen University, NETHERLANDS
Received: January 25, 2016; Accepted: April 11, 2016; Published: April 28, 2016
Copyright: © 2016 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This study was supported by a grant of the Korean Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea (No. HI14C2726).
Competing interests: The authors have declared that no competing interests exist.
Aniline (aminobenzene) is a toxic organic compound, used as a precursor for dyes, herbicides, plastics, paints, rubber additives, pesticides, and pharmaceuticals . Because aniline is widely used in industrial products, its accumulation and toxicity have become an ecological problem. Aniline is considered toxic by inhalation of vapor, ingestion, or percutaneous absorption. It is a carcinogen and mutagen, and belongs to Category 3 on the International Agency for Research on Cancer (IARC) list .
Aniline biodegradation genes and major metabolic enzymes were reported for several aniline-biodegrading bacterial strains. Pseudomonas , Acinetobacter , Rhodococcus , Frateuria , and Delftia  are all capable of degrading and utilizing aniline as a carbon and nitrogen source. However, until now, whole genome sequence data of aniline-biodegrading bacteria was insufficient for understanding the aniline degradation mechanisms and their metabolic characterization.
Recently, we reported a draft genome of the aniline-degrading bacterium Burkholderia sp. K24 . Burkholderia sp. K24 was previously known as Acinetobacter lwoffii K24. In a previous study, we found that Acinetobacter lwoffii K24 used two intradiol cleavage pathway (β-ketoadipate pathway) genes for aniline degradation , and we confirmed their activity by gel-based proteomic approaches . We also confirmed the presence of an alternative branch of the β-ketoadipate pathway for p-hydroxybenzoate degradation of Acinetobacter lwoffii K24 .
In this study, we performed a comprehensive genomic and proteomic analysis, i.e., proteogenomic analysis, to comprehensively evaluate biodegradation activity of Burkholderia sp. K24. Proteogenomic approaches are useful tools for the identification and elucidation of bacterial metabolic pathways because putative biodegradation pathways initially predicted by genomic analysis can then be verified by a proteomic analysis. Specifically, quantitative proteomics can indicate which pathways play major metabolic roles under specific culture conditions. Burkholderia sp. K24 possesses additional biodegradation activities for monocyclic aromatic hydrocarbons (MAHs), including aniline, benzoate, p-hydroxybenzoate, salicylate, benzene, toluene, and xylene analogues. Our study proposes Burkholderia sp. K24 degradation pathways of MAHs, including benzene, toluene, and xylene (BTX). BTX is toxic or carcinogenic to humans, and many BTX-degrading bacteria and their genome sequence have been reported . However, until now, no genome of bacteria degrading both aniline and BTX has been reported. To the best of our knowledge, this is the first proteogenomic report on an aniline-degrading bacterium that also degrades other mono-aromatic hydrocarbons, including BTX.
Materials and Methods
Burkholderia sp. K24 cells were pre-cultured in potassium phosphate buffer (pH 6.25) containing 3.4 mM MgSO4, 0.3 mM FeSO4, 0.2 mM CaCO3, 10 mM NH4Cl, and 10 mM sodium succinate, and then transferred to one of the following solutions: succinate (10 mM), benzoate (10 mM), p-hydroxybenzoate (5 mM), salicylic acid (2-hydroxybenzoic acid) (5 mM), toluene (methylbenzene) (400 ppm), benzene (400 ppm), or o-, m-, p-xylene (100 ppm). The cells were then cultured aerobically at 30°C. In the case of aniline (1000 ppm), the same medium as the basal medium was used, except that it was not supplemented with NH4Cl. Cultured bacteria were harvested in the late exponential phase for enzyme activity assays and proteomic analysis. Harvested bacteria were suspended in 20 mM Tris-HCl buffer (pH 8.0) and disrupted twice in a French pressure cell (SPCH-10, Standard Fluid Power Ltd, UK) at 20,000 psi. Supernatants (crude cell extracts) were collected by centrifugation (15,000 × g, 45 min) and used in enzyme activity assays and proteomic analyses.
Activity assays of catechol dioxygenase, protocatechuate dioxygenase, and gentisate dioxygenase enzymes
Catechol 1,2-dioxygenase activity was measured spectrometrically at 260 nm. Increase of cis,cis-muconate concentration was used as a measure of enzyme activity . One unit of enzyme activity is defined as the amount of enzyme required to produce 1μmol of cis,cis-muconate per min. Catechol 2,3-dioxygenase activity was measured spectrometrically at 375 nm. Increase of 2-hydroxymuconic semialdehyde concentration was an indicator of enzyme activity . Protocatechuate 3,4-dioxygenase and protocatechuate 4,5-dioxygenase activities were measured at 290 and 410 nm, respectively. Increase of β-carboxymuconate and 2-hydroxy-4-carboxymuconic semialdehyde concentrations was used to assess enzyme activity . Gentisate 1,2-dioxygenase activity was measured spectrometrically at 330 nm, according to a reported method . One unit of enzyme activity is defined as the amount of enzyme required to produce 1 μmol of maleylpyruvate per min. Absorbance was measured using a UV spectrometer (Beckman Coulter Proteome Lab DU800, USA)
Sodium dodecyl sulfate-polyacrylamide gel electrophoresis and in-gel tryptic digestion
Crude protein mixtures were fractionated by sodium dodecyl sulfate (12%)-polyacrylamide gel electrophoresis (SDS-PAGE). Tryptic digestion for MS/MS analysis was performed as described previously . SDS-polyacrylamide gels were then divided into ten fragments according to molecular weight. After reduction with 10 mM dithiothreitol and alkylation of cysteines with 55 mM iodoacetamide, the gel fragments were digested with trypsin (Promega, Madison, WI, USA) for 16 h at 37–8°C. The digested peptides were extracted with extraction solution [50 mM ammonium bicarbonate, 50% acetonitrile, and 5% trifluoroacetic acid (TFA)]. For liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, the samples were then dissolved in 0.5% TFA.
Tryptic peptide samples (10 μL) were concentrated using a MGU-30 C18 trapping column (LC Packings, Amsterdam, the Netherlands), eluted, and directed onto a C18 reverse-phase column (10 cm × 5 mm I.D.; Proxeon Biosystems, Odense, Denmark) at a flow rate of 120 nL/min. Peptide mixtures were eluted with a gradient of 0–65% acetonitrile for 70 min. All MS and MS/MS spectra were acquired with a LTQ-Velos ESI Ion Trap mass spectrometer (Thermo Scientific, Germany). Three MS/MS scans of the most abundant precursor ions with the dynamic exclusion feature enabled were selected from each full MS (m/z range 400–2000) scan. Protein identification was performed using MASCOT v2.4 (Matrix Science, Inc., Boston, MA). The protein sequence database of Burkholderia sp. K24 was downloaded from NCBI and used for MS/MS data analysis. Oxidation of methionine, carbamidomethylation of cysteines, two missed trypsin cleavages, peptide tolerance of 0.8 Da, and fragment mass tolerance of 0.8 Da comprised search parameters. The exponentially modified protein abundance index (emPAI) was generated using MASCOT, with mol% calculated according to emPAI values . MS/MS analysis was performed at least three times for each sample. MS/MS data were filtered assuming a 1% false discovery rate (FDR).
Sequences of 16S rRNA genes from 33 stains of Burkholderia, Pseudomonas, and Acinetobacter species were obtained from the SILVA database and used for phylogenetic tree construction . Sequence alignments were analyzed, and phylogenetic tree was generated using MEGA 6.0 . Aromatic compound biodegradation pathway genes were predicted using KEGG BlastKOALA and MetaCyc . Degrading genes unidentified in KEGG BlastKOALA were putatively identified by sequence homology analyses with orthologous degrading gene sequences (E-value < 1e-20) using BlastP. Subcellular localization of all of the hypothetical proteins was predicted by Cello v2.5 .
Equal volumes of RNAprotect Bacterial Reagent (Qiagen) were added to bacterial cultures to stabilize RNA. To analyze gene expression, total RNA was extracted from Burkholderia sp. K24 using the RNeasy Mini Kit (Qiagen), and the cDNA library was synthesized with the QuantiTect Reverse Transcription Kit (Qiagen) using 500 ng of total RNA, and stored at -20°C. 16S rRNA of Burkholderia sp. K24 was used as a reference to estimate gene expression levels. Real-Time PCR (RT-PCR) primers used were as follows: 16S rRNA, 5′-GGAGCCATAACACAGGTGCT-3′ and 5′-TCACCGGCAGTCT CCTTAGA-3′; amtB (KBK24-0108070), 5′-TAGATCAGCGTCGTCAGCAC-3′ and 5′-AGCACAAGC TCGGTTACGAC-3′; and amtB (KBK24-0129725), 5′-TGATCTTGTCGATGGTCTGC-3′ and 5′-CG TCGAATATCCCGTTCCT-3′. Because Burkholderia sp. K24 has two amtB genes (KBK24_0108070 and KBK_0129725), two different primer sets were used. Other RT-PCR primers for confirmation of biodegradation pathways were listed in S1 Table. RT-PCR (Roche, LightCycler 480 with software version 188.8.131.52) was performed with the following cycling conditions: pre-heating (one cycle), 95°C for 5 min with 4.4°C/s ramp rate; amplification (45 cycles), 95°C for 10 s with 4.4°C/s ramp rate, 60°C for 20 s with 2.2°C/s ramp rate, 72°C for 10 s with 4.4°C/s ramp rate; melting curve analysis and cooling, 95°C for 5s with 4.4°C/s ramp rate, 65°C for 1 min with 2.2°C/s ramp rate, and five acquisitions per 1°C with 0.11°C/s ramp rate.
Results and Discussion
Screening of Burkholderia sp. K24 biodegradation activities
MAH biodegradation activities of Burkholderia sp. K24 were screened after bacterial culturing in minimal media with single MAHs as sole carbon sources (S1 Fig). In our study, Burkholderia sp. K24 was able to use nine MAHs as sole carbon sources and grew well, to OD 0.3–1.0. To predict which metabolic pathways of Burkholderia sp. K24 were required for MAH utilization, enzyme activity assays of five major dioxygenases were performed using ten different exponential phase cultures . Table 1 shows dioxygenase induction according to culture conditions. Based on these results, we predicted that the β-ketoadipate pathway, extradiol cleavage pathway, and gentisate pathways were induced for the utilization of aniline, p-hydroxybenzoate, toluene, xylenes, and salicylate. However, no dioxygenase activities were detected during growth on benzoate and benzene, suggesting that Burkholderia sp. K24 uses other biodegradation pathways for these MAHs.
Genomic analysis of Burkholderia sp. K24
Draft genome sequence of Burkholderia sp. K24 was reported in a previous study . Phylogenetic analysis of 16S rRNA sequences revealed that Burkholderia sp. K24 belongs to the non-pathogenic Burkholderia group (S2 Fig). The group comprises Burkholderia phytofirmans PsJN, Burkholderia xenoborans LB400, Burkholderia phenolirup-tirix BR3459a, Burkholderia pymatum STM815, and Burkholderia kuruiensis M130. These micro-organisms can be potentially used as agricultural biocontrol agents or mutualists . Among the annotated 7033 genes of Burkholderia sp. K24, 1880 genes are categorized into five major biological functions in the KEGG pathway database and 183 genes were included into one of five major biological functions, xenobiotic biodegradation and metabolism in the genome of Burkholderia sp. K24 (data not shown).
Genomic prediction of aniline-, p-hydroxybenzoate-, benzoate-, and xylene-degrading pathways of Burkholderia sp. K24
Many identified putative biodegradation genes of Burkholderia sp. K24 were found concentrated in contig 9, with the remaining biodegradation genes scattered in the remaining six contigs (Fig 1). Aniline degradation genes are located in four contigs (5, 9, 17, and 28). The 223059–235627 region of contig 9 covers 12 genes, which include the aniline oxygenase complex (tdnQTA1A2BR-Porin), and the cat1 gene cluster (catR1B1C1A1D1). Another cat gene cluster, cat2 (catC2A2B2), was found in the 130780–133202 region of contig 17 (Fig 1). The two cat gene clusters were identified in previous studies [23, 24]. However, the aniline oxygenase complex is herein identified for the first time. The genomic analysis revealed that Burkholderia sp. K24 degrades aniline (aminobenzene) through an intradiol cleavage pathway (β-ketoadipate pathway). However, genes of the latter stages of the β-ketoadipate pathway (catIJF) were not found in the aniline degradation gene cluster in contig 9. The genes encoding the latter stages of the β-ketoadipate pathway and p-hydroxybenzoate degradation pathways were scattered in four contigs (5, 11, 13, and 28). In conclusion, this genomic analysis suggested that Burkholderia sp. K24 employs the β-ketoadipate pathway for the utilization of aniline and p-hydroxybenzoate. In addition, comparative sequence analysis revealed a high degree of homology between aniline and p-hydroxybenzoate degradation genes of Burkholderia sp. K24 and the genes of Frateuria sp. ANA-18 and Burkholderia fungorum ATCC BAA-463 [25, 26] (S2 Table).
Contrary to the majority of β-ketoadipate pathway-utilizing bacteria, the benzoate oxygenase gene complex (benABCD) was not detected in Burkholderia sp. K24, suggesting that this strain does not use the β-ketoadipate pathway for benzoate degradation. Instead, we found another benzoate oxidation (box) gene cluster, in the 1177472–1185811 region of contig 9 (Fig 1). This cluster contained benzoate degradation genes for benzoate oxidation via benzoyl-CoA. Presumably, benzoate is degraded to 2,3-dihydro-2,3-dihydroxybenzoyl-CoA via benzoyl-CoA by benzoate-CoA ligase and benzoyl-CoA dioxygenase components (BadA-BoxAB). Following this, 2,3-dihydro-2,3-dihydroxybenzoyl-CoA would be converted to acetyl-CoA and succinyl-CoA by benzoyl-CoA-dihydrodiol lyase and aldehyde dehydrogenase (Ben BoxCD-PaaHF-PcaF). Similar biodegradation pathways were found in Burkholderia fungorum ATCC BAA-463, Azoarcus evansii and Burkholderia xenovorans LB400 .
The eight genes involved in the degradation pathways of methyl-catechol to pyruvate and propanoyl-CoA were clustered in the 1000004–1008799 region of contig 9 (Fig 1). This cluster enables β-ketoadipate extradiol degradation through catechol 2,3-dioxygenase. This gene cluster was assumed to be responsible for the degradation of xylenes because the catechol 2,3-dioxygenase activity was induced in Burkholderia sp. K24 cultured in the presence of xylenes, as assessed in the dioxygenase activity assays (Table 1), and no other extradiol cleavage pathway was identified in the genome. However, genes of the early stages of the xylene degradation pathway were not identified by the comparative genome analysis. These genes share the highest sequence homology with genes of the phenanthrene-degrading bacterium Burkholderia sp. HB-1  (S2 Table). Five salicylate degradation genes were also located in the 1059883–1064439 region of contig 9 (Fig 1). This suggested that Burkholderia sp. K24 is able to degrade salicylate to gentisate using the salicylate 5-hydroxylase complex (NagG and NagH), and the products of that reaction are further catabolized by the gentisate degradation pathway.
Using sequence analysis, we were unable to establish the pathways for toluene and benzene degradation. Catechol 2,3-dioxygenase activity was detected in Burkholderia sp. K24 cultures grown in the presence of toluene, but the enzyme activity was low. We therefore proceeded to use the proteomic analysis to verify whether the extradiol pathway is the major or alternative toluene degradation pathway in this bacterium.
Proteomic analysis of Burkholderia sp. K24 MAH degradation pathways
We used proteomic analysis to verify the predictions of the genomic analysis and identify other possible degradation pathways from protein induction patterns. We employed a LC/MS-based shotgun method for quantitative proteomics of Burkholderia sp. K24 cultured under ten different conditions (Table 2).
Between 1351 and 1891 proteins were identified and quantified according to emPAI analysis, respectively, from each bacterial culture condition. A total of 2594 proteins were identified, covering about 38% of the genome. About 14–119 proteins were exclusively induced under each culture condition. On the other hand, 740 proteins were commonly induced under all culture conditions. Spearman coefficients for 740 proteins commonly induced in the ten bacterial cultures were 0.71–0.99 (data not shown). This suggested that these proteins were similarly induced under all of the culture conditions and may thus play essential or overlapping physiological functions. Quantification of each protein was performed by mol% calculation on the basis of emPAI values, and abundant proteins were identified in each proteome set.
A DNA-binding protein, GroEL and GroES, and the universal stress protein UspA were identified as abundant proteins. Another abundant protein was ribosomal proteins, which was significantly variable depending on culture conditions (data not shown). Specifically, ribosomal proteins were up-regulated in succinate cultures, compared with the monocyclic aromatic cultures (1.52–1.68-fold), suggesting that protein synthesis and cell growth were more robust in the succinate cultures.
Proteomic analysis of Burkholderia sp. K24 aniline-, p-hydroxybenzoate-, and benzoate-degrading pathways
In our earlier proteomic studies, we confirmed the induction of the β-ketoadipate pathway during growth in the presence of aniline and p-hydroxybenzoate [11, 28]. However, at that time, we had only obtained fragmentary sequence information for 43 major proteins identified in those studies [10, 28]. On the other hand, the current LC/MS-based proteomic analysis yielded a more comprehensive proteomic dataset. Here, 1351 proteins of Burkholderia sp. K24 cultured in aniline-containing medium were identified and quantified. Enzymes of the initial stages of the aniline degradation pathway (TdnQABT and CatABCD) were selectively induced under these conditions (Table 3). However, enzymes of the latter stages of the β-ketoadipate pathway (PcaIJF) were induced in both aniline- and p-hydroxybenzoate-containing cultures, suggesting that these enzymes were required for utilization of both of these aromatic compounds (Table 3). Enzymes of the initial stages of the p-hydroxybenzoate degradation pathway (PobA, PcaGH) were exclusively induced in p-hydroxybenzoate cultures (Table 3). This study allowed us to complete the β-ketoadipate pathway of Burkholderia sp. K24 and confirmed a selective induction of the two branches of the β-ketoadipate pathway, depending on the availability of aniline and p-hydroxybenzoate, respectively. Additionally, quantitative analysis revealed enzymes that play major roles in biodegradation, e.g., two catechol 1,2-dioxygenases, CatA1 and CatA2. Our data revealed CatA1 is 5.6-fold highly induced, suggesting that CatA1 is the major enzyme catalyzing the cleavage of catechol.
Because aniline was used as the sole carbon and nitrogen source, the ammonia released from the aniline amino group was most likely assimilated by Burkholderia sp. K24 to provide nitrogen. Proteomic analysis showed that several nitrogen assimilating proteins were indeed induced in aniline-containing cultures (data not shown). Two glutamine synthetases, specifically, GlnK (nitrogen regulatory protein P-II 1, KBK24_0108075), were noticeably induced by aniline (Fig 2A). E. coli GlnK plays a role in ammonium influx, together with the ammonium transporter AmtB . In the case of Burkholderia sp. K24, two AmtB proteins (KBK24_0108070 and KBK24_0129725) were identified but were not detected in our proteome analysis (Fig 2B). Since AmtBs are membrane proteins, they were not detectable in the soluble fraction of the proteome. Nevertheless, RT-PCR showed that one amtB gene (KBK24_0108070) was significantly induced by aniline (Fig 2B). This suggested that GlnK and AmtB play major roles in ammonium assimilation in Burkholderia sp. K24.
Proteomic evidence of ammonium assimilation enzymes (A), and RT-PCR data for the two amtB genes (KBK24_0108070 and KBK24_0129725) (B) from different Burkholderia sp. K24 culture conditions.
Based on our genomic analysis, we predicted that Burkholderia sp. K24 employed the benzoate oxidation pathway operating via benzoyl CoA, instead of the β-ketoadipate pathway. Proteomics revealed that seven enzymes involved in benzoyl-CoA degradation pathways were selectively up-regulated, confirming this pathway as the major degradation pathway (Table 3). However, enzymes of the p-hydroxybenzoate branch of the β-ketoadipate pathway were also detected in benzoate-containing medium. Induction of the p-hydroxybenzoate branch of the β-ketoadipate pathway was not tightly controlled, and proteins from the p-hydroxybenzoate branch of the β-ketoadipate pathway were detected under all culture conditions used in this study (Table 3).
Proteomic analysis of Burkholderia sp. K24 BTX and salicylate biodegradation
Our genomic analysis did not unequivocally verify the presence of pathways for BTX degradation. The results of dioxygenase activity assays and the proteomic analysis revealed that the extradiol cleavage pathway was strongly induced when Burkholderia sp. K24 was cultured in the presence of the three xylene isomers (Tables 1 and 3). These results suggested that this pathway plays a major role in the degradation of o-, m-, and p-xylene in Burkholderia sp. K24. When bacteria were cultured in the presence of toluene, only weak catechol 2,3-dioxygenase activity was induced and enzymes for the extradiol cleavage pathway were up-regulated (Tables 1 and 3). However, strong induction of the benzoyl CoA pathway was observed in toluene-containing cultures (Table 3). Therefore, we propose that two pathways are involved in toluene degradation, even though the benzoyl CoA pathway was previously thought to be the major pathway. We also detected an uncharacterized gene cluster, which was exclusively and strongly induced in the presence of xylenes, toluene, and benzene (Fig 1 and Table 3). This gene cluster contained a putative dioxygenase, an oxidoreductase, and an aldolase. We did not identify homologous gene clusters in other MAH-biodegrading bacteria using comparative gene analysis. Even though more functional evidence is required, the results of our proteomic analysis support the possibility that the gene cluster is involved in BTX degradation. Salicylate degradation genes predicted by the genomic analysis were also confirmed by the proteomic analysis when Burkholderia sp. K24 was cultured in the presence of salicylate (Table 3).
RT-PCR analysis of major biodegradation genes of Burkholderia sp. K24
To confirm the proteomic results, the transcriptional levels of major genes belong to each biodegradation pathway were assay by RT-PCR. Eight genes (catA1, catA2, pcaG, pcaH, boxB, dmpB, nagI, and nagH) were assayed in nine culture conditions (S3 Fig). Two cat genes (catA1 and catA2) and pcaGH were dominantly induced in aniline and p-hydroxybenzoate, respectively. BoxB was exclusively induced in benzoate and toluene, which is consistent with the proteomic result (Table 3). DmpB is highly induced in only in three xylene analogues among the nine cultures, suggesting catechol 2,3-dioxygenase pathways are major degradation pathways for xylene analogues.
Proteomic analysis of the TCA cycle of Burkholderia sp. K24 utilizing MAHs
According to our proteogenomic analysis of MAH biodegradation pathways, the resultant metabolites acetyl-CoA, succinyl-CoA, fumarate, and pyruvate flow into the tricarboxylic acid (TCA) cycle to generate other cellular building blocks or energy (Fig 3). Therefore, we investigated the proteomic patterns of TCA enzymes of Burkholderia sp. K24 cultured in the presence of succinate and MAHs. Regardless of the culture conditions, four TCA cycle enzymes (Citrate synthase, Aconitase, Succinyl-CoA synthetase, and Malate dehydrogenase) were highly induced (Table 3). It is not surprising that the enzymes, which utilize acetyl-CoA and succinyl-CoA as substrates (Aconitase, Succinyl-CoA synthetase, and Malate dehydrogenase), would be highly induced in the presence of various MAHs and in succinate-containing media. This suggested that the TCA cycle plays a major role in catabolism and anabolisms of Burkholderia sp. K24.
In our previous studies, we reported Burkholderia sp. K24 to be the first bacterium using the β-ketoadipate pathway for biodegradation of aniline and p-hydroxybenzoate. Genomic analysis of Burkholderia sp. K24 revealed various biodegradation pathways for other MAHs. Proteogenomic analysis was performed to obtain an integrated overview of the MAH biodegradation pathways and their induction characteristics. The analysis confirmed versatile Burkholderia sp. K24 biodegradation pathways and enzymes, which can be used for bioremediation. In our future studies, we will analyze how can Burkholderia sp. K24 utilize MAHs under mixed culture conditions and which MAH degradation pathways have priority for biodegradation
S1 Fig. Cultivation of Burkholderia sp. K24 with different monocyclic aromatic hydrocarbons.
Bacteria were harvested after the late exponential phase and used in enzyme activity assays and proteomic analysis.
S2 Fig. Phylogenic tree of Burkholderia sp. analyzed with MEGA 6.0.
S3 Fig. Result of RT-PCR of MAH degradation genes of Burkholderia sp. K24.
S1 Table. RT-PCR primers for biodegradation pathways of Burkholderia sp. K24.
Conceived and designed the experiments: SIK SYL GHK. Performed the experiments: SHY CWC JHK ECP YSY. Analyzed the data: SYL SHY CWC. Contributed reagents/materials/analysis tools: SYL SHY CWC YHC. Wrote the paper: SIK SYL.
- 1. Liu Z, Yang H, Huang Z, Zhou P, Liu SJ. Degradation of aniline by newly isolated, extremely aniline-tolerant Delftia sp. AN3. Applied microbiology and biotechnology. 2002;58(5):679–82. pmid:11956754.
- 2. Walpole AL, Williams MH. Aromatic amines as carcinogens in industry. British medical bulletin. 1958;14(2):141–5. pmid:13536376.
- 3. Fukumori F, Saint CP. Nucleotide sequences and regulational analysis of genes involved in conversion of aniline to catechol in Pseudomonas putida UCC22(pTDN1). Journal of bacteriology. 1997;179(2):399–408. pmid:8990291; PubMed Central PMCID: PMC178709.
- 4. Takeo M, Ohara A, Sakae S, Okamoto Y, Kitamura C, Kato D, et al. Function of a glutamine synthetase-like protein in bacterial aniline oxidation via gamma-glutamylanilide. Journal of bacteriology. 2013;195(19):4406–14. pmid:23893114; PubMed Central PMCID: PMC3807463.
- 5. Matsumura E, Ooi S, Murakami S, Takenaka S, Aoki K. Constitutive synthesis, purification, and characterization of catechol 1,2-dioxygenase from the aniline-assimilating bacterium Rhodococcus sp. AN-22. Journal of bioscience and bioengineering. 2004;98(2):71–6. pmid:16233669.
- 6. Murakami S, Takashima A, Takemoto J, Takenaka S, Shinke R, Aoki K. Cloning and sequence analysis of two catechol-degrading gene clusters from the aniline-assimilating bacterium Frateuria species ANA-18. Gene. 1999;226(2):189–98. pmid:9931486.
- 7. Liang Q, Takeo M, Chen M, Zhang W, Xu Y, Lin M. Chromosome-encoded gene cluster for the metabolic pathway that converts aniline to TCA-cycle intermediates in Delftia tsuruhatensis AD9. Microbiology. 2005;151(Pt 10):3435–46. pmid:16207925.
- 8. Lee SY, Yun SH, Choi CW, Lee DG, Choi JS, Kahng HY, et al. Draft Genome Sequence of an Aniline-Degrading Bacterium, Burkholderia sp. K24. Genome announcements. 2014;2(6). pmid:25477408; PubMed Central PMCID: PMC4256189.
- 9. Kim SI, Leem SH, Choi JS, Chung YH, Kim S, Park YM, et al. Cloning and characterization of two catA genes in Acinetobacter lwoffii K24. Journal of bacteriology. 1997;179(16):5226–31. pmid:9260969; PubMed Central PMCID: PMC179385.
- 10. Kim SI, Kim SJ, Nam MH, Kim S, Ha KS, Oh KH, et al. Proteome analysis of aniline-induced proteins in Acinetobacter lwoffii K24. Current microbiology. 2002;44(1):61–6. pmid:11727043.
- 11. Kahng HY, Cho K, Song SY, Kim SJ, Leem SH, Kim SI. Enhanced detection and characterization of protocatechuate 3,4-dioxygenase in Acinetobacter lwoffii K24 by proteomics using a column separation. Biochemical and biophysical research communications. 2002;295(4):903–9. pmid:12127980.
- 12. Choi EJ, Jin HM, Lee SH, Math RK, Madsen EL, Jeon CO. Comparative genomic analysis and benzene, toluene, ethylbenzene, and o-, m-, and p-xylene (BTEX) degradation pathways of Pseudoxanthomonas spadix BD-a59. Applied and environmental microbiology. 2013;79(2):663–71. pmid:23160122; PubMed Central PMCID: PMC3553784.
- 13. Kim YH, Cho K, Yun SH, Kim JY, Kwon KH, Yoo JS, et al. Analysis of aromatic catabolic pathways in Pseudomonas putida KT 2440 using a combined proteomic approach: 2-DE/MS and cleavable isotope-coded affinity tag analysis. Proteomics. 2006;6(4):1301–18. pmid:16470664.
- 14. Feng Y, Khoo HE, Poh CL. Purification and characterization of gentisate 1,2-dioxygenases from Pseudomonas alcaligenes NCIB 9867 and Pseudomonas putida NCIB 9869. Applied and environmental microbiology. 1999;65(3):946–50. pmid:10049846; PubMed Central PMCID: PMC91127.
- 15. Yun SH, Park GW, Kim JY, Kwon SO, Choi CW, Leem SH, et al. Proteomic characterization of the Pseudomonas putida KT2440 global response to a monocyclic aromatic compound by iTRAQ analysis and 1DE-MudPIT. Journal of proteomics. 2011;74(5):620–8. pmid:21315195.
- 16. Ishihama Y, Oda Y, Tabata T, Sato T, Nagasu T, Rappsilber J, et al. Exponentially modified protein abundance index (emPAI) for estimation of absolute protein amount in proteomics by the number of sequenced peptides per protein. Molecular & cellular proteomics: MCP. 2005;4(9):1265–72. pmid:15958392.
- 17. Pruesse E, Quast C, Knittel K, Fuchs BM, Ludwig W, Peplies J, et al. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucleic acids research. 2007;35(21):7188–96. pmid:17947321; PubMed Central PMCID: PMC2175337.
- 18. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Molecular biology and evolution. 2013;30(12):2725–9. pmid:24132122; PubMed Central PMCID: PMC3840312.
- 19. Caspi R, Altman T, Billington R, Dreher K, Foerster H, Fulcher CA, et al. The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases. Nucleic acids research. 2014;42(Database issue):D459–71. pmid:24225315; PubMed Central PMCID: PMC3964957.
- 20. Yu CS, Chen YC, Lu CH, Hwang JK. Prediction of protein subcellular localization. Proteins. 2006;64(3):643–51. pmid:16752418.
- 21. Harayama S, Kok M, Neidle EL. Functional and evolutionary relationships among diverse oxygenases. Annual review of microbiology. 1992;46:565–601. pmid:1444267.
- 22. Zuleta LF, Cunha Cde O, de Carvalho FM, Ciapina LP, Souza RC, Mercante FM, et al. The complete genome of Burkholderia phenoliruptrix strain BR3459a, a symbiont of Mimosa flocculosa: highlighting the coexistence of symbiotic and pathogenic genes. BMC genomics. 2014;15:535. pmid:24972629; PubMed Central PMCID: PMC4101177.
- 23. Kim SI, Ha KS, Leem SH. Differential organization and transcription of the cat2 gene cluster in aniline-assimilating Acinetobacter lwoffii K24. Journal of bioscience and bioengineering. 1999;88(3):250–7. pmid:16232607.
- 24. Kim SI, Leem SH, Choi JS, Ha KS. Organization and transcriptional characterization of the cat1 gene cluster in Acinetobacter lwoffi K24. Biochemical and biophysical research communications. 1998;243(1):289–94. pmid:9473520.
- 25. Johnson SL, Bishop-Lilly KA, Ladner JT, Daligault HE, Davenport KW, Jaissle J, et al. Complete genome sequences for 59 burkholderia isolates, both pathogenic and near neighbor. Genome announcements. 2015;3(2). pmid:25931592; PubMed Central PMCID: PMC4417688.
- 26. Murakami S, Hayashi T, Maeda T, Takenaka S, Aoki K. Cloning and functional analysis of aniline dioxygenase gene cluster, from Frateuria species ANA-18, that metabolizes aniline via an ortho-cleavage pathway of catechol. Bioscience, biotechnology, and biochemistry. 2003;67(11):2351–8. pmid:14646193.
- 27. Ohtsubo Y, Moriya A, Kato H, Ogawa N, Nagata Y, Tsuda M. Complete Genome Sequence of a Phenanthrene Degrader, Burkholderia sp. HB-1 (NBRC 110738). Genome announcements. 2015;3(6). pmid:26543118.
- 28. Kim EA, Kim JY, Kim SJ, Park KR, Chung HJ, Leem SH, et al. Proteomic analysis of Acinetobacter lwoffii K24 by 2-D gel electrophoresis and electrospray ionization quadrupole-time of flight mass spectrometry. Journal of microbiological methods. 2004;57(3):337–49. pmid:15134882.
- 29. Conroy MJ, Durand A, Lupo D, Li XD, Bullough PA, Winkler FK, et al. The crystal structure of the Escherichia coli AmtB-GlnK complex reveals how GlnK regulates the ammonia channel. Proceedings of the National Academy of Sciences of the United States of America. 2007;104(4):1213–8. pmid:17220269; PubMed Central PMCID: PMC1783118.