Figures
Abstract
Lignocellulosic biomass is an abundant and renewable resource for biofuels and bio-based chemicals. Vanillin is one of the major phenolic inhibitors in biomass production using lignocellulose. To assess the response of Corynebacterium glutamicum to vanillin stress, we performed a global transcriptional response analysis. The transcriptional data showed that the vanillin stress not only affected the genes involved in degradation of vanillin, but also differentially regulated several genes related to the stress response, ribosome/translation, protein secretion, and the cell envelope. Moreover, deletion of the sigH or msrA gene in C. glutamicum resulted in a decrease in cell viability under vanillin stress. These insights will promote further engineering of model industrial strains, with enhanced tolerance or degradation ability to vanillin to enable suitable production of biofuels and bio-based chemicals from lignocellulosic biomass.
Citation: Chen C, Pan J, Yang X, Guo C, Ding W, Si M, et al. (2016) Global Transcriptomic Analysis of the Response of Corynebacterium glutamicum to Vanillin. PLoS ONE 11(10): e0164955. https://doi.org/10.1371/journal.pone.0164955
Editor: Shihui Yang, National Renewable Energy Laboratory, UNITED STATES
Received: July 8, 2016; Accepted: October 4, 2016; Published: October 19, 2016
Copyright: © 2016 Chen 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: National Natural Science Foundation of China (31270078, 31370150 and 31500087 http://www.nsfc.gov.cn) XS YW MS, Key Science and Technology Research and Development Program of Shaanxi Province, China (2014K02-12-01 http://www.sninfo.gov.cn:8083/initSnFirstPageList.do?method=initSnFirstPageList) XS, the Natural Science Foundation of Shandong Province, China (ZR2015CM012 http://www.sdnsf.gov.cn/portal) MS.
Competing interests: The authors have declared that no competing interests exist.
Introduction
As a kind of new and renewable energy resources, biomass energy has rich reserves in the world [1]. The utilization of biomass energy provides a new option to cope with energy crisis that people faced to in the near future [2]. As important biomass energy resources, lignocellulose materials are potential sources for biofuels and other bio-based chemicals production [1–5]. At present, before these materials being applied into industrial production in a large scale, a series of problems need to be solved. One of those problems is that certain by-products (such as furan derivatives, weak acids, and phenolic compounds) showed up after the pretreatment of lignocellulose, which inhibit growth and fermentation of the industrial strains [6]. Vanillin is considered as one of the major inhibitors of phenolic compounds from pretreatment of lignocellulose, because it inhibits fermentation of microorganisms at very low concentrations [7]. So the studies on the tolerance and degradation to vanillin for robust strains become very important.
As a Gram-positive bacterium with high G+C content, Corynebacterium glutamicum is traditionally well known as a workhorse for the industrial production of various amino acids, and recent studies also explored it as production platforms for various chemicals, materials and fuels, such as the bio-based butanol and ethanol, the diamines cadaverine and putrescine, the sugar alcohol xylitol, gamma-amino butyric acid, polyhydroxybutyrate, pyruvate, lactate, 2-ketoisovalerate, 2-ketoglutarate and succinate [8, 9]. C. glutamicum is able to utilize a large number of lignocellulosic materials derived aromatic compounds (such as vanillin, ferulic acid, phenol, benzoate, 4-hydroxybenzoate, 4-cresol, resorcinol, benzyl alcohol, 2,4-dihydroxybenzoate, 3,5-dihydroxytoluene, etc.) for growth [10–17]. The extraordinary capability of C. glutamicum in assimilation of aromatic compounds as an alternative source to sugars makes it a unique advantage in utilizing lignocellulosic hydrolysates as sustainable resources in industrial fermentation [16].
Studies on the capability of microbe to detoxify and assimilate the vanillin as the carbon and energy resource had been taken in recent years [18, 19]. Genes involved in degradation of vanillin have been identified in C. glutamicum: vdh [16], vanABK [11] and pcaHGBC [13] gene clusters. However, although the inhibition of vanillin to several kinds of microorganisms (including yeast species, Aspergillus species, Escherichia coli, Lactobacillus plantarum, and Listeria innocua) [20, 21] has been evaluated, the adaption and tolerance to vanillin in C. glutamicum have not been investigated. Therefore, in this study, microarray analysis of the response of C. glutamicum to vanillin was conducted. Our work provides new insights into cellular response to vanillin stress that could be used to explore C. glutamicum as an efficient industry strain to convert sustainable lignocellulose to biofuels and bio-based chemicals in the future.
Materials and Methods
Bacterial strains and culture conditions
Bacterial strains and plasmids used in this study are listed in S1 Table. E. coli were grown aerobically on a rotary shaker (220 rpm) at 37°C in Luria-Bertani (LB) broth or on LB plates with 1.5% (wt/vol) agar. C. glutamicum strains were routinely grown in LB medium or in mineral salts medium supplemented with 0.05 g l-1 of yeast extract to meet the requirement of vitamins for the strains on a rotary shaker at 30°C [10]. Plasmid pXMJ19 was transformed into C. glutamicum RES167 wild type (WT), a restriction-deficient strain derived from C. glutamicum strain ATCC 13032, by electroporation for construction of WT(pXMJ19). For electroporation of C. glutamicum, brain heart broth with 0.5 M sorbitol (BHIS) medium was used. Cell growth was monitored by measuring absorbance at 600 nm (A600). Antibiotics were added at the following concentrations when needed: kanamycin, 50 μg ml-1 for E. coli and 25 μg ml-1 for C. glutamicum; nalidixic acid, 40 μg ml-1 for C. glutamicum; chloramphenicol, 20 μg ml-1 for E. coli and 10 μg ml-1 for C. glutamicum [22].
Sensitivity Assays to vanillin
To test the susceptibility of C. glutamicum strains to vanillin, overnight cell cultures were diluted 100-fold with fresh LB medium and exposed to 90 mM vanillin for 40 min at 30°C with shaking. The cultures were serially diluted and plated onto LB agar plates and then the survival percentage was calculated as [(CFU ml-1 with stress)/(CFU ml-1 without stress)]×100 [23, 24]. All assays were performed in triplicate.
Measurement of intracellular reactive oxygen species (ROS) levels
Intracellular ROS levels were measured using the fluorogenic probe 2’,7’-dichlorofluorescein diacetate (DCFH-DA) as described [25, 26], with the following modifications. Cells grown aerobically (OD600 = 1.6) were collected, washed and resuspended in PBS (pH 7.4) prior to preincubation with 2 μM DCFH-DA at 28°C for 20 min. Vanillin at indicated concentrations were added to these mixtures and incubated for another 40 min. After that, cells were washed two times with PBS, centrifuged, and resuspended in PBS. The fluorescence intensity was measured using a spectro-max spectrofluorimeter (excitation, 495 nm; emission, 521 nm).
Validation of Microarray data by quantative real-time PCR (qRT-PCR)
The expression levels of 12 representative genes were examined by qRT-PCR to validate the microarry data. The primers for qRT-PCR were designed using Primer 5 (S2 Table). The cDNA synthesis was conducted using PrimeScript RT reagent Kit with gDNA Eraser (TaKaRa, Japan). qRT-PCR was conducted on BioRad CFX96 Real-Time System using SYBR Premix Ex Taq (TaKaRa). For each gene/sample combination, three replicate reactions were carried out. In addition, the 16 S rDNA gene was chosen as a reference gene. The qRT-PCR results were processed by “Bio-Rad CFX Manager 3.1” and gene expression ratios from the qRT-PCR were log2 transformed.
Microarray experiments
The C. glutamicum DNA microarrays were custom-designed using the Agilent eArray 5.0 program according to the manufacturer’s recommendations (Agilent Technologies, Santa Clara, CA, US). The chip specification was 8×15K (design ID: 045822). Samples were collected during the mid-logarithmic growth phase in minimal medium with added glucose (control sample 100 mM) or vanillin as the sole carbon source (3 mM), respectively. Total RNA was extracted using TRIzol Reagent (Life Technologies, Carlsbad, CA, USA). Total RNA was amplified and labeled using the Low Input Quick Amp Labeling Kit, Two-Color (Agilent Technologies). Labeled cRNAs were purified using an RNeasy mini kit (Qiagen, GmBH, Germany). Each slide was hybridized with 300 ng Cy3/Cy5-labeled cRNA using the Gene Expression Hybridization Kit (Agilent Technologies) in a hybridization oven (Agilent Technologies). After 17 h of hybridization, slides were washed in staining dishes (Thermo Shandon, Waltham, MA, US) with a Gene Expression Wash Buffer Kit (Agilent Technologies). Slides were scanned using an Agilent Microarray Scanner (Agilent Technologies) with the default settings: dye channel, red & green; scan resolution, 5 μm; 16-bit. Data were extracted using the Feature Extraction software version 10.7 (Agilent Technologies). Raw data were normalized using Lowess (locally weighted scatter plot smoothing) algorithm in the Gene Spring Software version 11.0 (Agilent Technologies). Experiments were repeated four biological replicates in each condition. Differentially expressed genes were selected with p<0.01 by T-test methods. The fold changes of differentially expressed genes were log2 transformed. The microarray data has been deposited in NCBI Gene Expression Omnibus (GEO) database (accession number: GSE85949).
Results and Discussions
Overview of microarray analysis
Gene expression patterns were assessed in the presence of vanillin and glucose as the sole carbon sources. To identify differentially expressed genes, bacteria in the mid-logarithmic growth phase were harvested for RNA extraction (S1 Fig) and further microarray experiment (hybridizations). The global analysis of differentially expressed genes was visualized by heat map (Fig 1). A total of 261 genes were up-regulated and 253 down-regulated. qRT-PCR of 12 representative genes was used to verify the microarray data. The log2-transformed mean values of qRT-PCR from three biological replicates for each gene were conformable to the log2-transformed fold changes of microarray data from four biological replicates in the microarray data (Fig 2).
Heat map was generated using R program (version:i386 3.2.3). Red and green indicated lower or higher expression, respectively.
Twelve representative genes were evaluated for validation of the microarray data using qRT-PCR. White bars show the mean log2-transformed fold changes of qRT-PCR from three biological replicates; Black bars represent the mean log2-transformed fold changes of microarray data from four biological replicates, and error bars indicate the standard deviations.
Further analysis of microarray data
We next identified the functions of the differentially expressed genes by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis (Figs 3 and 4). Four kinds of pathways were interested to us: degradation of aromatic compounds, biosynthesis of amino acids, ribosome and bacterial secretion system.
Summary of the number of differentially expressed genes in each KEGG pathway. The percentage of the differentially expressed genes account for the predicted genes are shown above the bars.
The red and blue bars represent up- and down-regulated genes, respectively, and the numeric labels represent the number of genes with that function pathway.
Differentially expressed genes related to vanillin degradation.
The vanillin generated by lignocellulose pretreatment can influence the growth and reduce production of microbial cells. However, bacteria such as C. glutamicum can adapt to the presence of this compound and utilize it as the sole carbon and energy source for growth [13]. C. glutamicum cells can survive by degrading vanillin, therefore, this degradation pathway was evaluated.
Our microarray data showed that vanA and vanB were up-regulated (Table 1). vanK, a major facilitator superfamily permease was up-regulated. Interestingly, vanR, a regulator to vanABK was up-regulated. But it was reported that VanR negatively regulates expression of the vanABK genes [27]. According to the previous study, vanR is transcribed leaderless [27], so generally the expression of vanR does not have great change on different situation. Nevertheless, the direct interaction of VanR with its effector vanillate, generated from degradation of vanillin, leaded to the deactivation of VanR [27], which may be the reason for the 1.2 fold change of vanR expression in our experiment. However, the vanABK genes were all up-regulated signally in the presence of 3 mM vanillin, which indicated the vanillin was catalyzed, and expression of vanABK genes was not fully inhabited by VanR.
vanAB, which encodes vanillate demethylase, catalyzes the conversion of vanillate to protocatechuate [11]. pcaH, which encodes one subunit of protocatechuate 3,4-dioxygenase was up-regulated (Table 1). This enzyme catalyzes conversion of protocatechuate to β-carboxy-cis, cis-muconate by a ring-cleavage reaction [13]. pcaB, which encodes β-carboxy-cis, cis-muconate cycloisomerase was up-regulated and pcaC which encodes γ-carboxymuconolactone decarboxylase was up-regulated. These two enzymes above catalyze conversion of β-carboxy-cis, cis-muconate to β-ketoadipate enol-lactone [13]. Therefore, according to transcriptome-level data, C. glutamicum was capable of degrading vanillin.
Differentially expressed genes related to the stress response.
The extracytoplasmic function (ECF) σ factors have been identified in many species, and its regulation mechanisms had been studied in recent studies [28, 29]. C. glutamicum ATCC13032 has seven σ factor-encoding genes: sigA, sigB, sigC, sigD, sigE, sigH, and sigM [28, 30]. And sigH has been reported to take part in the heat stress or oxidative stress and regulate functional protein expressions to cope with stress conditions [28]. From our transcriptome data, sigH was up-regulated by vanillin stress (Table 2). Moreover, the sigH mutant was more sensitive to vanillin stress (90 mM) than was the WT strain, while the complemented strain had a survival rate similar to that of the WT (Fig 5).
Survival of the C. glutamicum WT(pXMJ19), ΔsigH(pXMJ19), and ΔsigH(pXMJ19-sigH) strains was assessed after exposure to vanillin (90 mM) for 40 min. Mean values with standard deviations (error bars) from at least three replicates are shown. ***: P≤0.001.
Environmental factors such as UV radiation, ionization radiation, or many chemical compounds that produce intracellular reactive oxygen species (ROS) can arise the level of oxidative stress [31]. Bacteria have evolved complex systems to protect them against oxidative stress [31, 32]. These systems involve enzymes such as catalase, superoxide dismutase, methionine sulfoxide reductase (MsrA), etc. [31]. MsrA is one important kind of antioxidant repair proteins [33]. And the studies on the functions and mechanisms of MsrA to the oxidative stress by many agents had been taken in our previous studies [34]. MsrA coding gene (msrA) was up-regulated by vanillin stress (Table 2). The mutant was more sensitive to vanillin stress (90 mM) than that of WT, and the complemented strain had a survival rate similar to that of the WT (Fig 6). To evaluate the function of MsrA in ROS reduction in the presence of vanillin stress, ROS levels were examined using DCFH-DA. As shown in Fig 7, the msrA mutant had significantly higher ROS levels than those of the WT after vanillin stress treatment. Moreover, ROS levels in the msrA mutant could be restored by complementation to the similar levels in the WT (Fig 7).
Survival of the C. glutamicum WT(pXMJ19), ΔmsrA(pXMJ19), and ΔmsrA(pXMJ19-msrA) strains was assessed after challenge with vanillin (90 mM) for 40 min. Mean values with standard deviations (error bars) from at least three replicates are shown. **: P≤0.01.
A quantitative assay of intracellular ROS under vanillin stress was performed. Mean values with standard deviations (error bars) from three replicates are shown. ***: P≤0.001. The ROS levels in the indicated C. glutamicum strains were measured by a DCFH-DA fluorescence assay after exposure to vanillin.
The universal stress proteins in E. coli are induced by the stress of various environmental factors [35]. And in this study, ncgl2842 and ncgl2755, encoding universal stress proteins, were up-regulated (Table 2), which may improve the ability to resistance to vanillin in C. glutamicum.
Bacteria have several proteins to degrade damaged DNA/proteins or protect functional proteins to maintain their metabolism [36]. Protein disulfide isomerase (PDI) interchanges thiol-disulfide that involve the reduction, rearrangement or formation of protein disulfide bonds [36]. In nascent proteins, PDI is important for disulfide bond formation and correct folding [36]. ncgl2478, which encodes a dithiol-disulfide isomerase in C. glutamicum, was up-regulated (Table 2) and this isomerase could protect proteins from further damage by vanillin stress.
There is a complicated stress response network in the cells [37]. More than one stress can be responded by the same system, and protect cells from a certain stress may bed several systems working together. [37]. Temperature induced stress is important for adaptation to environmental changes to living beings [37]. The cold shock protein A (CspA) is responded to many stress conditions: osmotic stress, inhibition of replication, starvation, UV sensitivity, freezing conditions, etc. [37]. From the microarray data, the cold shock protein A (ncgl0786) was up-regulated under the stress of vanillin in order to protect functional proteins under vanillin stress (Table 2).
The phage-shock-protein (Psp) system is induced by extracytoplasmic stress that can maintain the force of proton-motive, reduce cell energy status, maintain the integrity of cytoplasmic membrane and affect protein export [38]. However, in the Gram-negative Enterobacteriaceae: Salmonella enterica serovar Typhimurium, E. coli, and Yersinia enterocolitica, the Psp response has been most studied [39]. In this study, the phage shock protein A gene (ncgl1886) of C. glutamicum as one kinds of important Gram-positive model strain, was down-regulated under the vanillin stress (Table 2), which may relate to the stress response to vanillin.
Differentially expressed genes related to ribosome/translation.
It has been reported that vanillin inhibits translation in Saccharomyces cerevisiae [7]. Vanillin can increase cytoplasmic messenger ribonucleoprotein (mRNP) granules and affect the large ribosomal subunit in S. cerevisiae [7].
In this study, we found several genes related to ribosome (such as rpmH, tsnR, rpsF) were up regulated by the affection of vanillin according to the transcriptome data (Table 3). And certain ribonuclease genes related to translation (such as rnpA, rnc, and rph) were differentially expressed (Table 3). Therefore, these results above indicated that vanillin did affect the ribosome or translation in C. glutamicum.
Differentially expressed genes related to secretion protein.
The Tat pathway and Sec pathway are two important kinds of protein secretion pathways in C. glutamicum [40]. Folded proteins are translocated by the Tat pathway, which is an alternative secretion pathway; unfolded proteins are translocated by the Sec pathway [40]. The secD gene which is one subunit of Sec pathway was down-regulated (Table 4). And two genes tatB and tatC, which belong to the subunits of Tat pathway, were down-regulated (Table 4). Many secretion proteins were differentially expressed from the analysis of microarray data (Table 4). The effects and mechanisms of vanillin stress to protein secretion in C. glutamicum need to be further studied.
Differentially expressed genes related to the cell envelope.
Like M. tuberculosis, the cell envelope of C. glutamicum has several layers: plasma membrane, thick peptidoglycan-arabinogalactan layer, mycomembrane, and top layer [41]. This can enhance tolerance to various stress conditions including vanillin stress.
Genes related to cell wall (such as ncgl0995, ncgl1156, ncgl2108, ncgl0126, ncgl0652, and ncgl2750) were differentially expressed under the stress of vanillin according to the transcriptome data (Table 5).
A previous study on the way of action of vanillin against L. innocua, L. plantarum, and E. coli suggested that it is an important membrane active compound [21]. From our microarray data, certain membrane protein genes were differentially expressed (Table 5).
Differentially expressed genes encoding master regulators.
The transcription regulators play important roles in the metabolism and stress resistance processes for bacteria. The roles of various regulators in C. glutamicum were studied in recent years [42]. And we found two genes: ramA (ncgl2472) and sigD (ncgl0575) encoding master regulators were differentially expressed in our microarray data [42]. ramA was up-regulated 1.20-fold, which can activate the genes related to acetate metabolism, aconitase gene acn, glyceraldehyde-3-phosphate dehydrogenase gene gapA, et al [43]. This may show the different mechanisms of carbon metabolism between glucose and vanillin in C. glutamicum. Except the sigH, another gene encoding ECF σ factor SigD was down-regulated 1.03-fold in our microarray data. It was reported that SigD is induced by cold shock and is necessary to full virulence in Mycobacterium tuberculosis [44, 45]. In Clostridium difficile, SigD as a regulator can positively regulate the expression of toxin [46]. However, the function of SigD in C. glutamicum is not clear by now. It may play a role in the response to vanillin in C. glutamicum.
Conclusions
The mechanisms of tolerance to vanillin inhibitor generated by lignocellulose pretreatment of C. glutamicum were as follows. First, C. glutamicum was able to degrade vanillin. Second, the C. glutamicum cell envelope, which has complex structures, has a greater protective effect than other microbes. Third, genes related to stress response were differentially expressed under vanillin stress conditions, which could reduce the damage to C. glutamicum cells. Fourth, ribosome/translation and protein secretion genes were differentially expressed to cope with the vanillin stress (Fig 8). The sigH and msrA mutants were more sensitive to vanillin stress. Therefore, C. glutamicum can degrade vanillin to reduce the damage caused. And moreover, this microorganism possesses defense and damage repair mechanisms.
Schematic diagram of the genes involved in the response of C. glutamicum to vanillin stress.
To date, this is the first report of a transcriptomic analysis of the response to vanillin by C. glutamicum. The results provide insights into the mechanisms of C. glutamicum adaption and tolerance to vanillin, an important lignocellulose-derived inhibitor. This provides a theoretical basis for the engineering of industrial microorganisms tolerant to vanillin and makes facile production of biofuels and bio-based chemicals from lignocellulosic biomass in the future.
Supporting Information
S1 Fig. Growth curves of C. glutamicum using glucose or vanillin, respectively.
Growth of C. glutamicum on mineral salts medium containing 100 mM glucose (A) and 3 mM vanillin (B). Arrows indicate the sampling points for microarray analysis.
https://doi.org/10.1371/journal.pone.0164955.s001
(TIF)
S1 Table. Bacterial strains and plasmids used in this study.
https://doi.org/10.1371/journal.pone.0164955.s002
(DOC)
Acknowledgments
This work was supported by the National Natural Science Foundation of China (Nos. 31270078, 31370150 and 31500087), Key Science and Technology Research and Development Program of Shaanxi Province, China (2014K02-12-01) and the Natural Science Foundation of Shandong Province, China (ZR2015CM012).
Author Contributions
- Conceptualization: XS YW.
- Data curation: JP.
- Formal analysis: CC JP.
- Funding acquisition: XS YW.
- Investigation: CC JP XY CG WD.
- Methodology: XS YW.
- Project administration: YW.
- Software: YZ.
- Supervision: XS.
- Validation: JP XY MS.
- Visualization: JP.
- Writing – original draft: CC XY.
- Writing – review & editing: XS YW.
References
- 1. Zhang YH, Ding SY, Mielenz JR, Cui JB, Elander RT, Laser M, et al. Fractionating recalcitrant lignocellulose at modest reaction conditions. Biotechnol Bioeng. 2007;97(2):214–23. pmid:17318910
- 2. Singh R, Shukla A, Tiwari S, Srivastava M. A review on delignification of lignocellulosic biomass for enhancement of ethanol production potential. Renewable and Sustainable Energy Reviews. 2014;32:713–728.
- 3. Moradi F, Amiri H, Soleimanian-Zad S, Ehsani MR, Karimi K. Improvement of acetone, butanol and ethanol production from rice straw by acid and alkaline pretreatments. Fuel. 2013;112:8–13.
- 4. He Q, Chen H. Improved efficiency of butanol production by absorbed lignocellulose fermentation. J Biosci Bioeng. 2013 Mar;115(3):298–302. pmid:23085417
- 5. Kawaguchi H, Hasunuma T, Ogino C, Kondo A. Bioprocessing of bio-based chemicals produced from lignocellulosic feedstocks. Curr Opin Biotechnol. 2016;42:30–39. [Epub ahead of print] pmid:26970511
- 6. Greetham D, Wimalasena T, Kerruish DW, Brindley S, Ibbett RN, Linforth RL, et al. Development of a phenotypic assay for characterisation of ethanologenic yeast strain sensitivity to inhibitors released from lignocellulosic feedstocks. J Ind Microbiol Biotechnol. 2014;41(6):931–45. pmid:24664516
- 7. Iwaki A, Ohnuki S, Suga Y, Izawa S, Ohya Y. Vanillin inhibits translation and induces messenger ribonucleoprotein (mRNP) granule formation in Saccharomyces cerevisiae: application and validation of high-content, image-based profiling. PLoS One. 2013;8(4):e61748. pmid:23637899
- 8. Wieschalka S, Blombach B, Bott M, Eikmanns BJ. Bio-based production of organic acids with Corynebacterium glutamicum. Microb Biotechnol. 2013;6(2):87–102. pmid:23199277
- 9. Becker J, Wittmann C. Bio-based production of chemicals, materials and fuels-Corynebacterium glutamicum as versatile cell factory. Curr Opin Biotechnol. 2012;23(4):631–40. pmid:22138494
- 10. Shen X, Jiang C, Huang Y, Liu Z, Liu S. Functional identification of novel genes involved in the glutathione-independent gentisate pathway in Corynebacterium glutamicum. Appl Environ Microbiol. 2005;71:3442–52. pmid:16000747
- 11. Merkens H, Beckers G, Wirtz A, Burkovski A. Vanillate metabolism in Corynebacterium glutamicum. Curr Microbiol. 2005;51:59–65. pmid:15971090
- 12. Huang Y, Zhao KX, Shen XH, Jiang CY, Liu SJ. Genetic and biochemical characterization of a 4-hydroxybenzoate hydroxylase from Corynebacterium glutamicum. Appl Microbiol Biotechnol. 2008;78:75–83. pmid:18071645
- 13. Shen X, Zhou N, Liu S. Degradation and assimilation of aromatic compounds by Corynebacterium glutamicum: another potential for applications for this bacterium? Appl Microbiol Biotechnol. 2012;95:77–89. pmid:22588501
- 14. Chen X, Kohl TA, Rückert C, Rodionov DA, Li LH, Ding JY, Kalinowski J, Liu SJ. Phenylacetic acid catabolism and its transcriptional regulation in Corynebacterium glutamicum. Appl Environ Microbiol. 2012;78:5796–804. pmid:22685150
- 15. Li T, Chen X, Chaudhry MT, Zhang B, Jiang CY, Liu SJ. Genetic characterization of 4-cresol catabolism in Corynebacterium glutamicum. J Biotechnol. 2014;192 Pt B: 355–65. pmid:24480572
- 16. Ding W, Si M, Zhang W, Zhang Y, Chen C, Zhang L, et al. Functional characterization of a vanillin dehydrogenase in Corynebacterium glutamicum. Sci Rep. 2015;5:8044. pmid:25622822
- 17. Du L, Ma L, Qi F, Zheng X, Jiang C, Li A, et al. Characterization of a unique pathway for 4-Cresol catabolism initiated by phosphorylation in Corynebacterium glutamicum. J Biol Chem. 2016;291:6583–94. pmid:26817843
- 18. Priefert H, Rabenhorst J, Steinbüchel A. Molecular characterization of genes of Pseudomonas sp. strain HR199 involved in bioconversion of vanillin to protocatechuate. J Bacteriol. 1997;179(8):2595–607. pmid:9098058
- 19. Chen HP, Chow M, Liu CC, Lau A, Liu J, Eltis LD. Vanillin catabolism in Rhodococcus jostii RHA1. Appl Environ Microbiol. 2012;78(2):586–8. pmid:22057861
- 20. Fitzgerald DJ, Stratford M, Gasson MJ, Narbad A. Structure-function analysis of the vanillin molecule and its antifungal properties. J Agric Food Chem. 2005;53(5):1769–75. pmid:15740072
- 21. Fitzgerald DJ, Stratford M, Gasson MJ, Ueckert J, Bos A, Narbad A. Mode of antimicrobial action of vanillin against Escherichia coli, Lactobacillus plantarum and Listeria innocua. J Appl Microbiol. 2004;97(1):104–13. pmid:15186447
- 22. Liu Y, Chen C, Chaudhry MT, Si M, Zhang L, Wang Y, et al. Enhancing Corynebacterium glutamicum robustness by over-expressing a gene, mshA, for mycothiol glycosyltransferase. Biotechnol Lett. 2014;36:1453–9. pmid:24737070
- 23. Liu YB, Long MX, Yin YJ, Si MR, Zhang L, Lu ZQ, et al. Physiological roles of mycothiol in detoxification and tolerance to multiple poisonous chemicals in Corynebacterium glutamicum. Arch Microbiol. 2013;195:419–29. pmid:23615850
- 24. Si MR, Long MX, Chaudhry MT, Xu Y, Zhang P, Zhang L, et al. Functional characterization of Corynebacterium glutamicum mycothiol S-conjugate amidase. PLoS One. 2014;9: e115075. pmid:25514023
- 25. Schurig-Briccio LA, Farías RN, Rodríguez-Montelongo L, Rintoul MR, Rapisarda VA. Protection against oxidative stress in Escherichia coli stationary phase. Arch Biochem Biophys. 2009;483:106–110. pmid:19138658
- 26. Wang T, Si M, Song Y, Zhu W, Gao F, Wang Y, et al. Type VI secretion system transports Zn2+ to combat multiple stresses and host immunity. PLoS Pathog. 2015;11: e1005020. pmid:26134274
- 27. Morabbi Heravi K, Lange J, Watzlawick H, Kalinowski J, Altenbuchner J. Transcriptional regulation of the vanillate utilization genes (vanABK Operon) of Corynebacterium glutamicum by VanR, a PadR-like repressor. J Bacteriol. 2015;197(5):959–72. pmid:25535273
- 28. Kim TH, Kim HJ, Park JS, Kim Y, Kim P, Lee HS. Functional analysis of sigH expression in Corynebacterium glutamicum. Biochem Biophys Res Commun. 2005;331(4):1542–7. pmid:15883048
- 29. Dutta NK, Mehra S, Kaushal D. A Mycobacterium tuberculosis sigma factor network responds to cell-envelope damage by the promising anti-mycobacterial thioridazine. PLoS One. 2010;5(4): e10069. pmid:20386700
- 30. Larisch C, Nakunst D, Hüser AT, Tauch A, Kalinowski J. The alternative sigma factor SigB of Corynebacterium glutamicum modulates global gene expression during transition from exponential growth to stationary phase. BMC Genomics. 2007;8: 4. pmid:17204139
- 31. Cabiscol E, Tamarit J, Ros J. Oxidative stress in bacteria and protein damage by reactive oxygen species. Int Microbiol. 2000;3(1): 3–8. pmid:10963327
- 32. Si M, Wang J, Xiao X, Guan J, Zhang Y, Ding W, et al. Ohr protects Corynebacterium glutamicum against organic hydroperoxide induced oxidative stress. PLoS One. 2015;10(6): e0131634. pmid:26121694
- 33. Dhandayuthapani S, Blaylock MW, Bebear CM, Rasmussen WG, Baseman JB. Peptide methionine sulfoxide reductase (MsrA) is a virulence determinant in Mycoplasma genitalium. J Bacteriol. 2001;183(19):5645–50. pmid:11544227
- 34. Si M, Zhang L, Chaudhry MT, Ding W, Xu Y, Chen C, et al. Corynebacterium glutamicum methionine sulfoxide reductase A uses both mycoredoxin and thioredoxin for regeneration and oxidative stress resistance. Appl Environ Microbiol. 2015;81(8):2781–96. pmid:25681179
- 35. Kvint K, Nachin L, Diez A, Nyström T. The bacterial universal stress protein: function and regulation. Curr Opin Microbiol. 2003;6(2):140–5. pmid:12732303
- 36. Jiang XM, Fitzgerald M, Grant CM, Hogg PJ. Redox control of exofacial protein thiols/disulfides by protein disulfide isomerase. J Biol Chem. 1999;274:2416–23. pmid:9891011
- 37. Phadtare S. Recent developments in bacterial cold-shock response. Curr Issues Mol Biol. 2004;6(2):125–36. pmid:15119823
- 38. Darwin AJ. The phage-shock-protein response. Mol Microbiol. 2005;57(3):621–8. pmid:16045608
- 39. Darwin AJ. Stress relief during host infection: The phage shock protein response supports bacterial virulence in various ways. PLoS Pathog. 2013;9(7):e1003388. pmid:23853578
- 40. Liu X, Yang Y, Zhang W, Sun Y, Peng F, Jeffrey L, et al. Expression of recombinant protein using Corynebacterium glutamicum: progress, challenges and applications. Crit Rev Biotechnol. 2016;36(4):652–64. pmid:25714007
- 41. Bayan N, Houssin C, Chami M, Leblon G. Mycomembrane and S-layer: two important structures of Corynebacterium glutamicum cell envelope with promising biotechnology applications. J Biotechnol. 2003;104:55–67. pmid:12948629
- 42. Schröder J, Tauch A. Transcriptional regulation of gene expression in Corynebacterium glutamicum: the role of global, master and local regulators in the modular and hierarchical gene regulatory network. FEMS Microbiol Rev. 2010;34(5):685–737. pmid:20491930
- 43. van Ooyen J, Emer D, Bussmann M, Bott M, Eikmanns BJ, Eggeling L. Citrate synthase in Corynebacterium glutamicum is encoded by two gltA transcripts which are controlled by RamA, RamB, and GlxR. J Biotechnol. 2011;154(2–3):140–8. pmid:20630483
- 44. Radmacher E, Stansen KC, Besra GS, Alderwick LJ, Maughan WN, Hollweg G, et al. Ethambutol, a cell wall inhibitor of Mycobacterium tuberculosis, elicits L-glutamate efflux of Corynebacterium glutamicum. Microbiology. 2005;151(Pt 5):1359–68. pmid:15870446
- 45. Calamita H, Ko C, Tyagi S, Yoshimatsu T, Morrison NE, Bishai WR. The Mycobacterium tuberculosis SigD sigma factor controls the expression of ribosome-associated gene products in stationary phase and is required for full virulence. Cell Microbiol. 2005;7(2):233–44. pmid:15659067
- 46. El Meouche I, Peltier J, Monot M, Soutourina O, Pestel-Caron M, Dupuy B, et al. Characterization of the SigD regulon of C. difficile and its positive control of toxin production through the regulation of tcdR. PLoS One. 2013;8(12):e83748. pmid:24358307