Identification of two mutations increasing the methanol tolerance of Corynebacterium glutamicum
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Methanol is present in most ecosystems and may also occur in industrial applications, e.g. as an impurity of carbon sources such as technical glycerol. Methanol often inhibits growth of bacteria, thus, methanol tolerance may limit fermentative production processes.
The methanol tolerance of the amino acid producing soil bacterium Corynebacterium glutamicum was improved by experimental evolution in the presence of methanol. The resulting strain Tol1 exhibited significantly increased growth rates in the presence of up to 1 M methanol. However, neither transcriptional changes nor increased enzyme activities of the linear methanol oxidation pathway were observed, which was in accordance with the finding that tolerance to the downstream metabolites formaldehyde and formate was not improved. Genome sequence analysis of strain Tol1 revealed two point mutations potentially relevant to enhanced methanol tolerance: one leading to the amino acid exchange A165T of O-acetylhomoserine sulfhydrolase MetY and the other leading to shortened CoA transferase Cat (Q342*). Introduction of either mutation into the genome of C. glutamicum wild type increased methanol tolerance and introduction of both mutations into C. glutamicum was sufficient to achieve methanol tolerance almost indistinguishable from that of strain Tol1.
The methanol tolerance of C. glutamicum can be increased by two point mutations leading to amino acid exchange of O-acetylhomoserine sulfhydrolase MetY and shortened CoA transferase Cat. Introduction of these mutations into producer strains may be helpful when using carbon sources containing methanol as component or impurity.
KeywordsCorynebacterium Methanol Tolerance O-acetylhomoserine sulfhydrolase Coenzyme A hydrolase/transferase Methionine Ethanol Acetyl-CoA MetY Cat
Mycothiol-dependent formaldehyde dehydrogenase
Single nucleotide polymorphism
Conserved domain database
Methanol naturally occurs in most ecosystems and is the second most abundant organic gas in the atmosphere besides methane . The major source for methanol is the emission by plants . Also the decay of plants, biomass burning or atmospheric oxidation of methane give rise to methanol . One example of microbial production of methanol in nature is the pectin degradation by Clostridium butyricum .
Methanol itself is cytotoxic since it affects the fluidity of cellular membranes and alters their mechanical stability . Membrane disruption has been reported for incubation with more than 44 % methanol . Also indirect toxic effects related to methanol have been reported, mostly due to accumulation of the methanol degradation products formaldehyde and formate. Formaldehyde is a potent cytotoxin due to its high reactivity with proteins and DNA [7, 8]. In mammalian species, toxicity of methanol is mainly attributed to an accumulation of formate, causing metabolic acidosis . Formate has also been demonstrated to inhibit mitochondrial cytochrome oxidase of mammals [10, 11]. Additionally, the oxidation of methanol and its metabolites is often accompanied by the generation of superoxide anions, which give rise to oxidative stress and may be involved in lipid peroxidation [12, 13].
According to its high abundance, degradation of methanol is a common feature in nature. Besides detoxification, methanol can also be utilized as a carbon and energy source by a wide variety of eukaryotic and prokaryotic methylotrophs . Metabolism of methanol is typically initiated by its oxidation, which can be catalyzed by many different enzymes such as pyrroloquinoline quinone (PQQ)-dependent methanol dehydrogenase e.g. in Methylobacterium extorquens , class I alcohol dehydrogenase e.g. in humans  or alcohol oxidase e.g. in Candida boidinii .
The resulting formaldehyde is a branching point between detoxification pathways and the assimilation pathways in methylotrophs. In non-methylotroph organisms, the detoxification of formaldehyde typically occurs in linear pathways, in which formaldehyde is oxidized to formate by formaldehyde dehydrogenase and further to carbon dioxide catalyzed by formate dehydrogenase .
The Gram-positive bacterium Corynebacterium glutamicum belongs to the mycolic acid-containing actinomycetes and is particularly known for its use in the million-ton-scale production of amino acids [18, 19]. Recent studies on this organism revealed that C. glutamicum possesses an endogenous pathway for the oxidation of methanol to carbon dioxide. In this pathway, the oxidation of methanol to formaldehyde is mainly performed by the alcohol dehydrogenase AdhA (cg3107), but at least one additional enzyme of hitherto unknown identity is also involved . Formaldehyde is oxidized by two distinct enzymes, the acetaldehyde dehydrogenase Ald (cg3096) and the mycothiol-dependent formaldehyde dehydrogenase FadH (cg0387) . The resulting formate is subsequently converted to carbon dioxide by formate dehydrogenase FdhF (cg0618) also involving the gene products encoded by cg0616 and cg0617 . The electron acceptor of Fdh is currently unknown.
Methanol tolerance can be a bottleneck in industrial biotechnology if the culture broth contains methanol, either as a part of the process or an impurity e.g. of the carbon source. For example, Gluconobacter frateurii needed to be adapted to high methanol concentrations before it could be cultivated using methanol-containing raw glycerol as a substrate, which occurs as a byproduct during biodiesel production . Additionally, methanol represents an interesting upcoming carbon source for microbial production of chemicals [24, 25] e.g. cadaverine . C. glutamicum cannot use methanol as sole carbon source [20, 21], although engineered strains do convert methanol to a certain degree to intracellular metabolites  and to products such as cadaverine .
However, C. glutamicum has been engineered to use pure glycerol for growth and amino acid production , while certain technical qualities of glycerol obtained from bio-diesel factories, which contain methanol as impurity, were inhibitory . The aim of this study was to improve the methanol tolerance of C. glutamicum. Genome sequence analysis of an evolved strain and subsequent genetic and physiological experiments revealed that two single nucleotide polymorphisms (SNPs) significantly increased the tolerance to methanol of C. glutamicum without directly affecting the methanol detoxification pathway.
Biphasic, non-linear growth response of C. glutamicum wild type to methanol
Adaptive laboratory evolution of C. glutamicum in the presence of methanol
Experimental evolution in selective medium was used to achieve a genetic adaption to the presence of methanol and thereby increasing the methanol tolerance of C. glutamicum. For this purpose, repeated cultivations with the wild-type strain ATCC 13032 carrying the vector pVWEx1 were performed in minimal medium containing 120 mM methanol. After this selection process, growth of two independently isolated strains, named Tol1 and Tol2, was analyzed in the presence and absence of methanol. In the absence of methanol, strains Tol1 and Tol2 and the parental strain C. glutamicum (pVWEx1) showed similar growth behavior with a growth rate of 0.44 ± 0.01 h-1 in glucose minimal medium. A comparison of the growth behavior at diverse methanol concentrations revealed that the methanol tolerant strains showed significantly increased growth rates at concentrations up to 1 M, while growth in the presence of 3 M methanol was neither observed for the evolved strains nor for the parental strain (Fig. 1). Interestingly, unlike the wild type, the dependence of the growth rate on methanol was almost linear for the tolerant strains (Fig. 1), and lower methanol concentrations did not cause severe growth retardation of the tolerant strains. Because both mutant strains showed a similar phenotype, only Tol1 was used in further analyses to identify the mutation(s) overcoming the strong growth impairment by low methanol concentrations.
Role of the linear methanol detoxification pathway
C. glutamicum possesses the linear methanol detoxification pathway involving oxidation of methanol via formaldehyde and formate to carbon dioxide. In order to test whether methanol oxidation by Tol1 differs from C. glutamicum wild type, enzyme activity of alcohol dehydrogenase AdhA was determined. The specific alcohol dehydrogenase activities with ethanol as substrate were comparable for C. glutamicum wild type (79 ± 2 mU/mg) and Tol1 (78 ± 1 mU/mg) grown in LB. Under inducing conditions [20, 31, 32], i.e. after growth in LB with 325 mM ethanol, alcohol dehydrogenase activities increased in C. glutamicum wild type (183 ± 18 mU/mg) and Tol1 (276 ± 27 mU/mg). Moreover, as growth of an adhA deletion mutant in glucose minimal medium with up to 960 mM methanol was comparable to that of C. glutamicum wild type (data not shown), AdhA did not contribute notably to the response of C. glutamicum to methanol.
Methanol oxidation gives rise to the highly toxic metabolite formaldehyde. In glucose minimal medium without formaldehyde, the growth rates were comparable for C. glutamicum WT(pVWEx1) (0.41 ± 0.01 h−1) and Tol1 (0.42 ± 0.01 h−1) and they were decreased similarly to 0.32 ± 0.01 h−1, when formaldehyde was present (Additional file 1: Fig. S1a). In addition, the specific activities of formaldehyde oxidizing enzymes Ald and FadH determined by an in vivo assay (Additional file 1: Figure S1b) were comparable for both strains (22 ± 0 and 23 ± 1 nmol min−1 mg cell dry weight−1 for Tol1 and WT(pVWEx1), respectively). In addition, growth of C. glutamicum Tol1 and WT(pVWEx1) in the presence of 200 mM potassium formate, the second potentially toxic intermediate of the linear methanol oxidation pathway, was comparable (each 0.24 ± 0.01 h−1, data not shown). Thus, C. glutamicum Tol1 showed improved tolerance to methanol, but neither to formaldehyde nor to formate.
DNA microarray analysis of global gene expression of C. glutamicum Tol1
Genome-wide gene expression analyses using microarrays were performed in order to identify differentially expressed genes in strain Tol1, which might contribute to methanol tolerance. In a first experiment, mRNA levels of Tol1 and C. glutamicum WT(pVWEx1) were compared during exponential growth in complex medium. The genes cysK and metY which are involved in amino acid metabolism and the prpD2B2C2 operon showed higher mRNA levels in Tol1 than in the parental strain (Additional file 1: Table S1). The prpD2B2C2 operon which codes for enzymes required for propionate metabolism shows a strong induction in presence of propionate . To analyze if the increased expression of this operon positively affects growth with methanol, C. glutamicum wild type was grown in glucose minimal medium with 0 mM or 7 mM propionate and 120 mM methanol was added after two hours. Methanol decreased the growth rate by about 45 % in the presence or absence of propionate (Additional file 1: Fig. S2), demonstrating that the induction of the prpD2B2C2 operon did not increase the tolerance to methanol.
Genome sequencing of Tol1 and introduction of mutations into the wild-type genome
Since neither physiological experiments and enzyme activity measurements nor DNA microarray analysis revealed the mutation(s) responsible for enhanced methanol tolerance of C. glutamicum Tol1, its genome was sequenced. Compared to the published genome sequence of C. glutamicum ATCC 13032 , 101 insertions, deletions or SNPs were found (Additional file 1: Table S3). Previously, a similar number of changes has been observed when genomes of C. glutamicum mutants were sequenced [38, 39]. Therefore, all sequence changes found in the genome of Tol1 were compared to the genome sequence of a control strain derived from the same wild type during the same period of time. Only 29 mutations were unique for Tol1. Of these, one SNP representing a synonymous substitution, four SNPs located in intergenic regions and 19 SNPs in a gene (cg2069) a putative secreted protein of the prophage CGP3  were not considered further.
When both mutations were combined, the resulting strain T0755 + 2840 grew as fast (0.38 ± 0.00 h−1) as Tol1 in glucose minimal medium supplemented with 240 mM methanol (Fig. 3). Thus, the identified two mutations resulting in amino acid exchange A165T in the O-acetylhomoserine sulfhydrolase MetY and in truncation (Q342*) of CoA transferase were sufficient to explain the improved methanol tolerance of Tol1.
Influence of mutations increasing methanol tolerance on growth with ethanol
In this study, the response of C. glutamicum to methanol was characterized to be non-linear involving a sharp decrease of the growth rate in the presence of lower methanol concentrations and a less pronounced decrease evident at methanol concentrations in excess of about 250 mM. Genome sequencing of a strain selected by adaptive laboratory evolution identified two SNPs that subsequently were shown to be sufficient to explain increased methanol tolerance of the selected strain. The relevant SNPs led to amino acid substitution A165T in the O-acetylhomoserine sulfhydrolase MetY and in truncation (Q342*) of CoA transferase by 161 amino acids.
Mutations which increase the tolerance to methanol in other organisms are so far reported to be mostly related to enzymes of methanol pathways and thereby reducing the accumulation of toxic downstream metabolites. For example the methanol tolerance of Dictyostelium increased significantly by loss of a catalase, which is supposed to be the main enzyme in this organism oxidizing methanol to formaldehyde . Also methanol tolerance of the methylotroph bacterium Bacillus methanolicus is dependent on the activities of the methanol dehydrogenase Mdh and the enzymes 3-hexulose 6-phosphate synthase (Hps) and 6-phospho-3-hexuloisomerase (Phi), responsible for utilization of formaldehyde . However, in C. glutamicum deletion of adhA did not affect methanol tolerance although the encoded alcohol dehydrogenase oxidizes methanol to formaldehyde. Moreover, the evolved strain Tol1 did not show increased tolerance to the methanol metabolites formaldehyde and formate. Notably, growth of Tol1 was not impaired as drastic as C. glutamicum WT at methanol concentrations up to 120 mM, while the maximal methanol concentration tolerated was similar for WT and Tol1. This argued that the sharp decline of the growth rate observed for C. glutamicum WT may be caused by methanol itself or compounds derived from methanol in reactions other than those of the linear methanol oxidation pathway. Direct toxic effects of methanol are known to be based on its hydrophobic character, which is affecting the stability of the cellular membrane . It has been shown that the tolerance to other membrane affecting alcohols like butanol could be increased by mutations in genes corresponding to membrane stability . However, the identified mutations increasing methanol tolerance in C. glutamicum were not found in genes affecting membrane stability. The second component of the response of C. glutamicum to methanol evident at higher methanol concentrations may be due to membrane damages by methanol or toxicity of formate and formaldehyde.
The finding that mutations affecting O-acetylhomoserine sulfhydrolase MetY and CoA transferase Cat were sufficient to explain increased methanol tolerance of C. glutamicum Tol1 indicated that their enzymatic (side) reactions contribute to methanol toxicity and are prominent in particular at concentrations up to about 250 mM. In C. glutamicum, methionine functions as methyl donor and is synthesized either by transsulfuration or by direct sulfhydrylation catalyzed by MetY . In the reaction of MetY, O-acetylhomoserine is directly converted to homocysteine using sulfide . In addition, MetY is also able to convert O-acetylhomoserine to methionine using methanethiol (Reaction: O-acetyl-homoserine + methanethiol < = > methionine + acetate) . Methanethiol is the thiol equivalent of methanol and it has been shown that MetY from Corynebacterium acetophilum and Saccharomyces cerevisiae accepts methanol and other short-chain alcohols as substrates in addition to sulfide and methanethiol . The MetY-catalyzed alkylation of O-acetylhomoserine with methanol yields O-methylhomoserine and acetate (Reaction: O-acetyl-homoserine + methanol < = > O-methyl-homoserine + acetate). Since O-methylhomoserine is known to inhibit growth of E. coli and other microorganisms , this MetY-catalyzed reaction may contribute to the methanol toxicity of C. glutamicum. Strain Tol1 synthesized a variant of MetY (A165T) and showed higher RNA levels of metY in complex medium with added methanol than C. glutamicum WT (Additional file 1: Table S1). Albeit strain Tol1 was not further investigated since O-acetylhomoserine could not be obtained, the location of A165 close to a substrate-cofactor binding motif predicted by CDD-alignment  may indicate that binding of the cofactor pyridoxal-5-phosphate, which is essential for the function of MetY , and MetY activity are affected. While MetY clearly contributed to methanol toxicity in C. glutamicum, the biochemical mechanism remains to be explored by combining in vitro and in vivo approaches such as metabolomics and structure-function analyses of MetY and MetYA165T.
The second mutation contributing to increased methanol tolerance of strain Tol1 led to truncation of CoA transferase Cat. Cat transfers CoA between acetyl-, propionyl- and succinyl-CoA thioesters and the respective free acids . Whereas it is known that cat is highly and constitutively expressed , its function remains elusive since only a role in acetate and propionate catabolism in the absence of acetate kinase Ack and phosphotransacetylase Pta during co-consumption with glucose was found [41, 50]. Both the lack of Cat activity due to deletion of cat as well as its truncation due to the SNP present in strain Tol1 increased the methanol tolerance. Thus, either the activity of CoA transfer between the acids acetate, propionate or succinate and the respective thioesters , or enzymatic side activity of Cat result in reduced growth in the presence of methanol. Several side reactions appear possible and although not all of them have been documented, in other organisms CoA transferases may have activity as acetyl-CoA hydrolases, as alcohol acetyltransferases or may form methyl-CoA. Alcohol acetyltransferases e.g. from Saccharomyces uvarum catalyze the transfer of the acetyl moiety from acetyl-CoA to methanol resulting in methyl acetate ester . Methyl-Coenzyme M is an intermediate in methanogenic archaea like Methanosarcina barkeri and is formed by methanol:coenzyme M methyltransferase . Due to structural similarities of the coenzymes A and M, an analogous reaction of methanol with coenzyme A might be possible. Future metabolomics and structure-function analyses are necessary to determine if Cat from C. glutamicum WT, but not from Tol1, also possesses activity as acetyl-CoA hydrolase, alcohol acetyltransferase or for generation of methyl-CoA and if the resulting intermediates are growth inhibitory. This also pertains to the finding that truncation of Cat as well as the absence of Cat precluded use of ethanol as sole source of carbon and energy. It is not clear whether increased methanol tolerance and the inability to use ethanol are interdependent or arose by chance as consequence of Cat truncation.
Growth of C. glutamicum with ethanol involves oxidation of ethanol to acetate and requires activation by the Pta/Ack-system and operation of the glyoxylate cycle . Thus, acetyl-CoA is an essential intermediate of ethanol metabolism and its concentration would be reduced if truncated Cat were active as acetyl-CoA hydrolase. Alternatively, induction of genes ack, pta, aceA and aceB by ethanol , which is as high as induction by acetate [50, 53] or methanol  may be impaired by truncated Cat. Indeed, induction of these genes was not observed in Tol1 (Additional file 1: Table S2). The genes ack, pta, aceA are directly repressed by RamB [54, 55] and activated by RamA [56, 57]. AceA and aceB are directly repressed by GlxR, but regulation of the pta-ack operon by GlxR has not yet been demonstrated in vivo. GlxR and SugR indirectly control these genes by regulation of ramA expression . C. glutamicum mutants lacking RamA cannot grow with acetate or ethanol as sole carbon sources . The physiological trigger for the regulation of the ethanol and acetate metabolism is still unknown, but has been inferred as acetyl-CoA or a derivative thereof based on missing induction of genes from the acetate metabolism as result of interrupted ack and pta genes . Thus, the inducer may not be synthesized or may be degraded by truncated Cat.
The identified mutations increasing methanol tolerance of C. glutamicum are relevant to strain development for biotechnological applications either using methanol as (co-)substrate or using growth substrates containing methanol as impurity. The latter was already shown to be of biotechnological relevance since C. glutamicum engineered to utilize glycerol for growth and amino acid production readily used pure glycerol, but not all technical qualities of glycerol [29, 30]. Crude glycerol is a by-product of biodiesel production by transesterification of plant fats with methanol and often contains residual methanol . Producer strains carrying the mutations of metY and cat may show improved performance in processes based on crude glycerol.
A C. glutamicum strain with increased methanol tolerance was selected by adaptive laboratory evolution. Genome sequencing of this strain identified two SNPs leading to amino acid substitution A165T of the O-acetylhomoserine sulfhydrolase MetY and truncation (Q342*) of CoA transferase by 161 amino acids. Introduction of these mutations into the wild type improved tolerance to methanol to the same level as observed with the selected mutant Tol1. Thus, these two mutations were sufficient to explain increased methanol tolerance of the selected strain. Introduction of these mutations into producer strains may facilitate production processes when using methanol as (co-)substrate or using growth substrates containing methanol as impurity.
Microorganisms and cultivation conditions
Strains and plasmids used in this study
Strain or plasmid
Reference or source
E. coli DH5α
F− thi-1 endA1 hsdR17(r−m−) supE44 ΔlacU169 (Φ80lacZΔM15) recA1 gyrA96 relA1
C. glutamicum strains
Wild-type strain ATCC 13032
American Type Culture Collection
Methanol tolerant strain derived from C. glutamicum WT carrying the vector pVWEx1
Methanol tolerant strain derived from C. glutamicum WT carrying the vector pVWEx1
in-frame deletion of the adhA gene (cg3107) of C. glutamicum WT
in-frame disruption of the ramA gene (cg2831) of C. glutamicum WT
point mutation cg0198A19V from strain Tol1 in the cg0198 gene of C. glutamicum WT
point mutation cg0755A165T from strain Tol1 in the cg0755 gene of C. glutamicum WT
point mutation cg1245L328S from strain Tol1 in the cg1245 gene of C. glutamicum WT
point mutation cg2204D67H from strain Tol1 in the cg2204 gene of C. glutamicum WT
point mutation cg2840Q342* from strain Tol1 in the cg2840 gene of C. glutamicum WT
T0755 + 2840
Combination of the point mutations from strain Tol1 in the cg0755 and cg2840 genes of C. glutamicum WT
in-frame deletion of the cat gene (cg2840) of C. glutamicum WT lacking both the N- and C-terminal regions of Cat
Kmr, mobilizable E. coli vector for the construction of insertion and deletion mutants of C. glutamicum (oriV, sacB, lacZα)
Kmr, pK19mobsacB with the construct for a base exchange from C to T at position 56 in cg0198
Kmr, pK19mobsacB with the construct for a base exchange from G to A at position 493 in cg0755
Kmr, pK19mobsacB with the construct for a base exchange from T to C at position 983 in cg1245
Kmr, pK19mobsacB with the construct for a base exchange from G to C at position 199 in cg2204
Kmr, pK19mobsacB with the construct for a base exchange from C to T at position 1024 in cg2840
Kmr; C. glutamicum/E. coli shuttle vector (P tac lacI q oriV C.g . oriV E.c .)
Cultivation of E. coli strains was carried out in Luria-Bertani broth complex medium (LB) aerobically on a rotary shaker (120 rpm) at 37 °C. C. glutamicum was cultivated aerobically on a rotary shaker (120 rpm) at 30 °C. Growth experiments with C. glutamicum were also performed in the microbioreactor system BioLector (m2p labs; Baesweiler, Germany) using FlowerPlate microtiter plates (m2p labs; Baesweiler, Germany). The growth conditions were set to 1100 rpm, 30 °C, 85 % humidity and backscatter gain 20.. LB medium supplemented with 50 mM glucose or bovine heart infusion (BHI) medium were used for precultures. Growth experiments with C. glutamicum were performed in the minimal medium mCGXII , a modified CGXII medium . The medium was supplemented with 100 mM glucose as carbon and energy source. For selection of clones carrying the plasmids pVWEx1 or pK19mobsacB and their derivatives, kanamycin was added to the medium in a concentration of 25 μg ml−1.
Adaptive laboratory evolution
In order to obtain methanol tolerant mutants, C. glutamicum (pVWEx1) was repeatedly cultivated in selective mCGXII medium containing 100 mM glucose, kanamycin and 120 mM methanol using two independent cultures. This is the highest concentration in the first concentration range, in which a sharp decrease of the growth rate was observed. The cultures were serially passed to fresh medium in regular intervals for about 50 generations.
The cultures grown in selective medium were subsequently cultivated on BHI plates with kanamycin. Single colonies from these plates were again cultivated in BHI Kan25 liquid medium followed by analysis of the methanol tolerance to exclude non-genetic adaption to methanol.
DNA preparation, manipulation and transformation
Plasmid isolation, molecular cloning and transformation of E. coli as well as electrophoresis were performed using standard procedures . Transformation of C. glutamicum was performed by electroporation as described previously . Chromosomal DNA of C. glutamicum was prepared as formerly described . PCR experiments were performed using GoTaq DNA polymerase (Promega) or KOD Hot Start polymerase (Novagen) with oligonucleotides obtained from Metabion (listed in Additional file 1: Table S4). All restriction enzymes and polynucleotide kinase were obtained from Fermentas and used according to the manufacturer’s instructions. Dephosphorylation and ligation were performed using the Rapid DNA Dephos & Ligation Kit from Roche. Plasmids were isolated from E. coli using the QIAprep miniprep kit (Qiagen, Hilden, Germany). DNA sequencing was used to control all inserts of the plasmid constructs listed in Table 1.
Construction of C. glutamicum mutant strains
The single base substitutions in cg0198, cg0755, cg1245, cg2204 and cg2840 were constructed in C. glutamicum WT using the corresponding derivatives of plasmid pK19mobsacB as described previously . These vectors carry the mutated basepairs flanked by native sequences upstream and downstream. The flanking regions were amplified from genomic DNA of C. glutamicum via PCR using corresponding primer pairs A and B as well as C and D (Additional file 1: Table S4). The resulting PCR products as well as primers A and D were used in the subsequent crossover PCR reaction. The resulting fusion product was phosphorylated with polynucleotide kinase and ligated into SmaI digested vector pK19mobsacB . Point mutations were verified by amplification using the primers A and D and subsequent sequence analysis.
Alcohol dehydrogenase enzyme assays
Enzyme activity of AdhA was measured in crude cell extracts at 30 °C using a Shimadzu UV-1800 spectrophotometer by following the formation of NADH at 340 nm (Δε = 6230 M−1 cm−1). Crude cell extracts were prepared using sonication treatment . Buffers and assay conditions have been described previously  and the reaction was started by addition of 1 M ethanol.
Analysis of formaldehyde degradation
In vivo formaldehyde degradation assays were performed using resting cells. For this purpose, 50 ml mCGXII medium without carbon source was inoculated from a LB culture to an OD600 of 1 and incubated in a 500 ml baffled Erlenmeyer flask at 30 °C and 120 rpm. The assays were started by addition of 0.5 mM formaldehyde. Measurement of formaldehyde concentrations was performed using a colorimetric method as described previously .
Transcriptome analysis using DNA microarrays
Gene expression analysis in C. glutamicum WT and strain Tol1 was performed after cultivation in LB or mCGXII medium. RNA was isolated during the mid log growth phase followed by synthesis of fluorescently labeled cDNA from RNA, DNA microarray hybridization and gene expression analysis [66, 67]. The data were normalized using the LOWESS approach. The significance of gene expression rates was determined using a t-test adjusted with the False Discovery Rate approach. Individual data points were not considered as significant if the signal to noise ratio of both channels was below 3, less than two third of the replicates showed regulation or the A-value was below 8. Furthermore, the adjusted p-value had to be higher than 0.05 and the genes needed to be regulated more than two-fold.
Genome sequence analysis
Libraries were prepared from isolated genomic DNA as described previously . Sequencing of the libraries was performed on the Genome Analyze IIx platform (Illumina, San Diego, CA, USA) using a single read cluster generation kit v4 according to the manufacturer’s instructions. 32 bp sequence reads were mapped to the genome sequence of C. glutamicum ATCC13032  using the program SARUMAN . The coverage was obtained by multiplying the read length by the respective read start. Perl programming language script implemented for Parsing of the read start information and calculation of coverage and read start numbers. Variants were considered to be significant if they possessed a frequency higher than 90 % and coverage of at least 70.
Availability of supporting data
All supporting data are included as additional files. Microarray data have also been deposited in NCBI's Gene Expression Omnibus  and are accessible through GEO Series accession number GSE71590 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE71590).
We would like to thank Jörn Kalinowski, Christian Rückert and Andreas Albersmeier for genome sequence analysis. We acknowledge support of the publication fee by Deutsche Forschungsgemeinschaft and the Open Access Publication Funds of Bielefeld University. This work was funded by SynMet, a 09-EuroSYNBIO-FP-023 project funded in part by DFG through grant WE 2320/2-1.
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