Simple and robust high-throughput serum proteomics workflow with low-microflow LC-MS/MS.

Clinical proteomics has substantially advanced in identifying and quantifying proteins from biofluids, such as blood, contributing to the discovery of biomarkers. The throughput and reproducibility of serum proteomics for large-scale clinical sample analyses require improvements. High-throughput analysis typically relies on automated equipment, which can be costly and has limited accessibility. In this study, we present a rapid, high-throughput workflow low-microflow LC-MS/MS method without automation. This workflow was optimized to minimize the preparation time and costs by omitting the depletion and desalting steps. The developed method was applied to data-independent acquisition (DIA) analysis of 235 samples, and it consistently yielded approximately 6000 peptides and 600 protein groups, including 33 FDA-approved biomarkers. Our results demonstrate that an 18-min DIA high-throughput workflow, assessed through intermittently collected quality control samples, ensures reproducibility and stability even with 2 µL of serum. It was successfully used to analyze serum samples from patients with diabetes having chronic kidney disease (CKD), and could identify five dysregulated proteins across various CKD stages.

Quorum sensing-based metabolic engineering of the precursor supply in Streptomyces coelicolor to improve heterologous production of neoaureothin.

Streptomyces are important industrial bacteria that produce pharmaceutically valuable polyketides. However, mass production on an industrial scale is limited by low productivity, which can be overcome through metabolic engineering and the synthetic biology of the host strain. Recently, the introduction of an auto-inducible expression system depending on microbial physiological state has been suggested as an important tool for the industrial-scale production of polyketides. In this study, titer improvement by enhancing the pool of CoA-derived precursors required for polyketide production was driven in a quorum sensing (QS)-dependent manner. A self-sustaining and inducer-independent regulatory system, named the QS-based metabolic engineering of precursor pool (QMP) system, was constructed, wherein the expression of genes involved in precursor biosynthesis was regulated by the QS-responsive promoter, scbAp. The QMP system was applied for neoaureothin production in a heterologous host, Streptomyces coelicolor M1152, and productivity increased by up to 4-fold. In particular, the engineered hyperproducers produced high levels of neoaureothin without adversely affecting cell growth. Overall, this study showed that self-regulated metabolic engineering mediated by QS has the potential to engineer strains for polyketide titer improvement.

Heterologous overproduction of oviedomycin by refactoring biosynthetic gene cluster and metabolic engineering of host strain Streptomyces coelicolor.

BACKGROUND: Oviedomycin is one among several polyketides known for their potential as anticancer agents. The biosynthetic gene cluster (BGC) for oviedomycin is primarily found in Streptomyces antibioticus. However, because this BGC is usually inactive under normal laboratory conditions, it is necessary to employ systematic metabolic engineering methods, such as heterologous expression, refactoring of BGCs, and optimization of precursor biosynthesis, to allow efficient production of these compounds. RESULTS: Oviedomycin BGC was captured from the genome of Streptomyces antibioticus by a newly constructed plasmid, pCBA, and conjugated into the heterologous strain, S. coelicolor M1152. To increase the production of oviedomycin, clustered regularly interspaced short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) system was utilized in an in vitro setting to refactor the native promoters within the ovm BGC. The target promoters of refactoring were selected based on examination of factors such as transcription levels and metabolite profiling. Furthermore, genome-scale metabolic simulation was applied to find overexpression targets that could enhance the biosynthesis of precursors or cofactors related to oviedomycin production. The combined approach led to a significant increase in oviedomycin production, reaching up to 670 mg/L, which is the highest titer reported to date. This demonstrates the potential of the approach undertaken in this study. CONCLUSIONS: The metabolic engineering approach used in this study led to the successful production of a valuable polyketide, oviedomycin, via BGC cloning, promoter refactoring, and gene manipulation of host metabolism aided by genome-scale metabolic simulation. This approach can be also useful for the efficient production of other secondary molecules encoded by 'silent' BGCs.

Optimizing protein V untranslated region sequence in M13 phage for increased production of single-stranded DNA for origami.

DNA origami requires long scaffold DNA to be aligned with the guidance of short staple DNA strands. Scaffold DNA is produced in Escherichia coli as a form of the M13 bacteriophage by rolling circle amplification (RCA). This study shows that RCA can be reconfigured by reducing phage protein V (pV) expression, improving the production throughput of scaffold DNA by at least 5.66-fold. The change in pV expression was executed by modifying the untranslated region sequence and monitored using a reporter green fluorescence protein fused to pV. In a separate experiment, pV expression was controlled by an inducer. In both experiments, reduced pV expression was correlated with improved M13 bacteriophage production. High-cell-density cultivation was attempted for mass scaffold DNA production, and the produced scaffold DNA was successfully folded into a barrel shape without compromising structural quality. This result suggested that scaffold DNA production throughput can be significantly improved by reprogramming the RCA in E. coli.

Production of S-methyl-methionine using engineered Saccharomyces cerevisiae sake K6.

S-methyl-methionine (SMM), also known as vitamin U, is an important food supplement produced by various plants. In this study, we attempted to produce it in an engineered microorganism, Saccharomyces cerevisiae, by introducing an MMT gene encoding a methionine S-methyltransferase from Arabidopsis thaliana. The S. cerevisiae sake K6 strain, which is a Generally Recognized as Safe (GRAS) strain, was chosen as the host because it produces a significant amount of S-adenosylmethionine (SAM), a precursor of SMM. To increase SMM production in the host, MHT1 and SAM4 genes encoding homocysteine S-methyltransferase were knocked out to prevent SMM degradation. Additionally, MMP1, which encodes S-methyl-methionine permease, was deleted to prevent SMM from being imported into the cell. Finally, ACS2 gene encoding acetyl-CoA synthase was overexpressed, and MLS1 gene encoding malate synthase was deleted to increase SAM availability. Using the engineered strain, 1.92 g/L of SMM was produced by fed-batch fermentation. ONE-SENTENCE SUMMARY: Introducing a plant-derived MMT gene encoding methionine S-methyltransferase into engineered Saccharomyces cerevisiae sake K6 allowed microbial production of S-methyl-methionine (SMM).

Escherichia coli minicells with targeted enzymes as bioreactors for producing toxic compounds.

Formed by aberrant cell division, minicells possess functional metabolism despite their inability to grow and divide. Minicells exhibit not only superior stability when compared with bacterial cells but also exceptional tolerance-characteristics that are essential for a de novo bioreactor platform. Accordingly, we engineered minicells to accumulate protein, ensuring sufficient production capability. When tested with chemicals regarded as toxic against cells, the engineered minicells produced titers of C6-C10 alcohols and esters, far surpassing the corresponding production from bacterial cells. Additionally, microbial autoinducer production that is limited in expanding bacterial population was conducted in the minicells. Because bacterial population growth was nonexistent, the minicells produced autoinducers in constant amounts, which allowed precise control of the bacterial population having autoinducer-responsive gene circuits. When bacterial population growth was nonexistent, the minicells produced autoinducers in constant amounts, which allowed precise control of the bacterial population having autoinducer-based gene circuits with the minicells. This study demonstrates the potential of minicells as bioreactors suitable for products with known limitations in microbial production, thus providing new possibilities for bioreactor engineering.

Systems metabolic engineering of Streptomyces venezuelae for the enhanced production of pikromycin.

Pikromycin is an important precursor of drugs, for example, erythromycin. Hence, systems metabolic engineering for the enhanced pikromycin production can contribute to the development of pikromycin-related drugs. In this study, metabolic genes in Streptomyces venezuelae were systematically engineered for enhanced pikromycin production. For this, a genome-scale metabolic model of S. venezuelae was reconstructed and simulated, which led to the selection of 11 metabolic gene targets. These metabolic genes, including four overexpression targets and seven knockdown targets, were individually engineered first. Next, two overexpression targets and two knockdown targets were selected based on the 11 strains' production performances to engineer two to four of these genes together for the potential synergistic effects on the pikromycin production. As a result, the NM1 strain with AQF52_RS24510 (methenyltetrahydrofolate cyclohydrolase/methylenetetrahydrofolate dehydrogenase) overexpression and AQF52_RS30320 (sulfite reductase) knockdown showed the best production performance among all the 22 strains constructed in this study. Fed-batch fermentation of the NM1 strain produced 295.25 mg/L of pikromycin, by far the best production titer using the native producer S. venezuelae, to the best of our knowledge. The systems metabolic engineering strategy demonstrated herein can also be applied to the overproduction of other secondary metabolites using S. venezuelae.

Systems and synthetic biology to elucidate secondary metabolite biosynthetic gene clusters encoded in Streptomyces genomes.

Covering: 2010 to 2020 Over the last few decades, Streptomyces have been extensively investigated for their ability to produce diverse bioactive secondary metabolites. Recent advances in Streptomyces research have been largely supported by improvements in high-throughput technology 'omics'. From genomics, numerous secondary metabolite biosynthetic gene clusters were predicted, increasing their genomic potential for novel bioactive compound discovery. Additional omics, including transcriptomics, translatomics, interactomics, proteomics and metabolomics, have been applied to obtain a system-level understanding spanning entire bioprocesses of Streptomyces, revealing highly interconnected and multi-layered regulatory networks for secondary metabolism. The comprehensive understanding derived from this systematic information accelerates the rational engineering of Streptomyces to enhance secondary metabolite production, integrated with the exploitation of the highly efficient 'Design-Build-Test-Learn' cycle in synthetic biology. In this review, we describe the current status of omics applications in Streptomyces research to better understand the organism and exploit its genetic potential for higher production of valuable secondary metabolites and novel secondary metabolite discovery.

Multi-Odor Discrimination by Rat Sniffing for Potential Monitoring of Lung Cancer and Diabetes.

The discrimination learning of multiple odors, in which multi-odor can be associated with different responses, is important for responding quickly and accurately to changes in the external environment. However, very few studies have been done on multi-odor discrimination by animal sniffing. Herein, we report a novel multi-odor discrimination system by detection rats based on the combination of 2-Choice and Go/No-Go (GNG) tasks into a single paradigm, in which the Go response of GNG was replaced by 2-Choice, for detection of toluene and acetone, which are odor indicators of lung cancer and diabetes, respectively. Three of six trained rats reached performance criterion, in 12 consecutive successful tests within a given set or over 12 sets with a success rate of over 90%. Through a total of 1300 tests, the trained animals (N = 3) showed multi-odor sensing performance with 88% accuracy, 87% sensitivity and 90% specificity. In addition, a dependence of behavior response time on odor concentrations under given concentration conditions was observed, suggesting that the system could be used for quantitative measurements. Furthermore, the animals' multi-odor sensing performance has lasted for 45 days, indicating long-term stability of the learned multi-odor discrimination. These findings demonstrate that multi-odor discrimination can be achieved by rat sniffing, potentially providing insight into the rapid, accurate and cost-effective multi-odor monitoring in the lung cancer and diabetes.

Olfactory Detection of Toluene by Detection Rats for Potential Screening of Lung Cancer.

Early detection is critical to successfully eradicating a variety of cancers, so the development of a new cancer primary screening system is essential. Herein, we report an animal nose sensor system for the potential primary screening of lung cancer. To establish this, we developed an odor discrimination training device based on operant conditioning paradigms for detection of toluene, an odor indicator component of lung cancer. The rats (N = 15) were trained to jump onto a floating ledge in response to toluene-spiked breath samples. Twelve rats among 15 trained rats reached performance criterion in 12 consecutive successful tests within a given set, or over 12 sets, with a success rate of over 90%. Through a total of 1934 tests, the trained rats (N = 3) showed excellent performance for toluene detection with 82% accuracy, 83% sensitivity, 81% specificity, 80% positive predictive value (PPV) and 83% negative predictive value (NPV). The animals also acquired considerable performance for odor discrimination even in rigorous tests, validating odor specificity. Since environmental and long-term stability are important factors that can influence the sensing results, the performance of the trained rats was studied under specified temperature (20, 25, and 30 °C) and humidity (30%, 45%, and 60% RH) conditions, and monitored over a period of 45 days. At given conditions of temperature and humidity, the animal sensors showed an average accuracy within a deviation range of ±10%, indicating the excellent environmental stability of the detection rats. Surprisingly, the trained rats did not differ in retention of last odor discrimination when tested 45 days after training, denoting that the rats' memory for trained odor is still available over a long period of time. When taken together, these results indicate that our odor discrimination training system can be useful for non-invasive breath testing and potential primary screening of lung cancer.

Metabolic engineering of Corynebacterium glutamicum for the production of glutaric acid, a C5 dicarboxylic acid platform chemical.

Corynebacterium glutamicum was metabolically engineered for the production of glutaric acid, a C5 dicarboxylic acid that can be used as platform building block chemical for nylons and plasticizers. C. glutamicum gabT and gabD genes and Pseudomonas putida davT and davD genes encoding 5-aminovalerate transaminase and glutarate semialdehyde dehydrogenase, respectively, were examined in C. glutamicum for the construction of a glutaric acid biosynthesis pathway along with P. putida davB and davA genes encoding lysine 2-monooxygenase and delta-aminovaleramidase, respectively. The glutaric acid biosynthesis pathway constructed in recombinant C. glutamicum was engineered by examining strong synthetic promoters PH30 and PH36, C. glutamicum codon-optimized davTDBA genes, and modification of davB gene with an N-terminal His6-tag to improve the production of glutaric acid. It was found that use of N-terminal His6-tagged DavB was most suitable for the production of glutaric acid from glucose. Fed-batch fermentation using the final engineered C. glutamicum H30_GAHis strain, expressing davTDA genes along with davB fused with His6-tag at N-terminus could produce 24.5 g/L of glutaric acid with low accumulation of l-lysine (1.7 g/L), wherein 5-AVA accumulation was not observed during fermentation.

Metabolic perturbations in mutants of glucose transporters and their applications in metabolite production in Escherichia coli.

BACKGROUND: Most microorganisms have evolved to maximize growth rate, with rapid consumption of carbon sources from the surroundings. However, fast growing phenotypes usually feature secretion of organic compounds. For example, E. coli mainly produced acetate in fast growing condition such as glucose rich and aerobic condition, which is troublesome for metabolic engineering because acetate causes acidification of surroundings, growth inhibition and decline of production yield. The overflow metabolism can be alleviated by reducing glucose uptake rate. RESULTS: As glucose transporters or their subunits were knocked out in E. coli, the growth and glucose uptake rates decreased and biomass yield was improved. Alteration of intracellular metabolism caused by the mutations was investigated with transcriptome analysis and 13C metabolic flux analysis (13C MFA). Various transcriptional and metabolic perturbations were identified in the sugar transporter mutants. Transcription of genes related to glycolysis, chemotaxis, and flagella synthesis was downregulated, and that of gluconeogenesis, Krebs cycle, alternative transporters, quorum sensing, and stress induced proteins was upregulated in the sugar transporter mutants. The specific production yields of value-added compounds (enhanced green fluorescent protein, γ-aminobutyrate, lycopene) were improved significantly in the sugar transporter mutants. CONCLUSIONS: The elimination of sugar transporter resulted in alteration of global gene expression and redirection of carbon flux distribution, which was purposed to increase energy yield and recycle carbon sources. When the pathways for several valuable compounds were introduced to mutant strains, specific yield of them were highly improved. These results showed that controlling the sugar uptake rate is a good strategy for ameliorating metabolite production.

Precise tuning of the glyoxylate cycle in Escherichia coli for efficient tyrosine production from acetate.

BACKGROUND: Acetate is one of promising feedstocks owing to its cheap price and great abundance. Considering that tyrosine production is gradually shifting to microbial production method, its production from acetate can be attempted to further improve the economic feasibility of its production. RESULTS: Here, we engineered a previously reported strain, SCK1, for efficient production of tyrosine from acetate. Initially, the acetate uptake and gluconeogenic pathway were amplified to maximize the flux toward tyrosine. As flux distribution between glyoxylate and TCA cycles is critical for efficient precursor supplementation, the activity of the glyoxylate cycle was precisely controlled by expression of isocitrate lyase gene under different-strength promoters. Consequently, the engineered strain with optimal flux distribution produced 0.70 g/L tyrosine with 20% of the theoretical maximum yield which are 1.6-fold and 1.9-fold increased values of the parental strain. CONCLUSIONS: Tyrosine production from acetate requires precise tuning of the glyoxylate cycle and we obtained substantial improvements in production titer and yield by synthetic promoters and 5' untranslated regions (UTRs). This is the first demonstration of tyrosine production from acetate. Our strategies would be widely applicable to the production of various chemicals from acetate in future.

Complete Genome Sequence of Paenibacillus sp. CAA11: A Promising Microbial Host for Lignocellulosic Biorefinery with Consolidated Processing.

Several bioprocessing technologies, such as separate hydrolysis and fermentation (SHF), simultaneous saccharification and fermentation (SSF), and consolidated bioprocessing (CBP), have been highlighted to produce bio-based fuels and chemicals from lignocellulosic biomass. Successful CBP, an efficient and economical lignocellulosic biorefinery process compared with other processes, requires microorganisms with sufficient cellulolytic activity and biofuel/chemical-producing ability. Here, we report the complete genome of Paenibacillus sp. CAA11, a newly isolated promising microbial host for CBP-producing ethanol and organic acids from cellulose. The genome of Paenibacillus sp. CAA11 comprises one 4,888,410 bp chromosome with a G + C content of 48.68% containing 4418 protein-coding genes, 102 tRNA genes, and 39 rRNA genes. The functionally active cellulase, encoded by CAA_GH5 was identified to belong to glycosyl hydrolase family 5 (GH5) and consisted of a catalytic domain and a cellulose-binding domain 3 (CBM3). When cellulolytic activity of CAA_GH5 was assayed through Congo red method by measuring the size of halo zone, the recombinant Bacillus subtilis RIK1285 expressing CAA_GH5 showed a comparable cellulolytic activity to B. subtilis RIK1285 expressing Cel5, a previously verified powerful bacterial cellulase. This study demonstrates the potential of Paenibacillus sp. CAA11 as a CBP-enabling microbe for cost-effective biofuels/chemicals production from lignocellulosic biomass.

Applications and Advances in Bioelectronic Noses for Odour Sensing.

A bioelectronic nose, an intelligent chemical sensor array system coupled with bio-receptors to identify gases and vapours, resembles mammalian olfaction by which many vertebrates can sniff out volatile organic compounds (VOCs) sensitively and specifically even at very low concentrations. Olfaction is undertaken by the olfactory system, which detects odorants that are inhaled through the nose where they come into contact with the olfactory epithelium containing olfactory receptors (ORs). Because of its ability to mimic biological olfaction, a bio-inspired electronic nose has been used to detect a variety of important compounds in complex environments. Recently, biosensor systems have been introduced that combine nanoelectronic technology and olfactory receptors themselves as a source of capturing elements for biosensing. In this article, we will present the latest advances in bioelectronic nose technology mimicking the olfactory system, including biological recognition elements, emerging detection systems, production and immobilization of sensing elements on sensor surface, and applications of bioelectronic noses. Furthermore, current research trends and future challenges in this field will be discussed.

Precise precursor rebalancing for isoprenoids production by fine control of gapA expression in Escherichia coli.

Biosynthesis of isoprenoids via the 1-deoxy-D-xylulose-5-phosphate (DXP) pathway requires equimolar glyceraldehyde 3-phosphate and pyruvate to divert carbon flux toward the products of interest. Here, we demonstrate that precursor balancing is one of the critical steps for the production of isoprenoids in Escherichia coli. First, the implementation of the synthetic lycopene production pathway as a model system and the amplification of the native DXP pathway were accomplished using synthetic constitutive promoters and redesigned 5'-untranslated regions (5'-UTRs). Next, fine-controlled precursor balancing was investigated by tuning phosphoenolpyruvate synthase (PpsA) or glyceraldehyde 3-phosphate dehydrogenase (GAPDH). The results showed that tuning-down of gapA improved the specific lycopene content by 45% compared to the overexpression of ppsA. The specific lycopene content in the strains with down-regulated gapA increased by 97% compared to that in the parental strain. Our results indicate that gapA is the best target for precursor balancing to increase biosynthesis of isoprenoids.

Improved production of N-acetylglucosamine in Saccharomyces cerevisiae by reducing glycolytic flux.

Glucosamine and its derivatives are utilized in the food and biomedical industries. However, current production relies on hydrolysis of natural sources, making it difficult to maintain quality and eliminate allergenic risk. Therefore, microbial production with aid of metabolic engineering is required. We previously demonstrated production of N-acetylglucosamine (GlcNAc) in Saccharomyces cerevisiae by overexpressing an allosteric regulation-free Gfa1p mutant and the haloacid dehalogenase-like phosphatase YqaB. In this study, we further improved GlcNAc production by reducing glycolytic flux. Eukaryotic phosphofructokinase 1 (PFK-1) is allosterically activated by fructose 2,6-bisphosphate (F26BP). Disruption of PFK-2, which synthesizes F26BP, resulted in a slight decrease of GlcNAc production and no significant change of glucose consumption and ethanol production. However, when galactose was used as a sole carbon source to the strain without PFK-2, GlcNAc production was significantly increased and ethanol production was reduced, suggesting that further reduction of glycolytic flux can be used to further improve GlcNAc production. The methodology used in this study can be applied to improve production of carbohydrate derivatives in S. cerevisiae. Biotechnol. Bioeng. Biotechnol. Bioeng. 2016;113: 2524-2528. © 2016 Wiley Periodicals, Inc.

A synthetic suicide riboswitch for the high-throughput screening of metabolite production in Saccharomyces cerevisiae.

Artificial devices such as the synthetic riboswitch have shown potential to introduce unnatural phenotypic perturbation because its synthetic traits are distinct from that of innate metabolism. In this study, a riboswitch, a small regulatory element found in RNAs, was employed to reprogram microorganisms to produce valuable metabolites. A self-cleaving ribozyme glmS, found in gram-positive bacteria, cleaves its own transcript in response to the intracellular glucosamine 6-phosphate (GlcN6P) concentration. The glmS ribozyme was integrated into the 3'-untranslated region of FCY1, which encodes cytosine deaminase in Saccharomyces cerevisiae to construct a suicide riboswitch for evolutionary engineering. Growth of the strain harboring the suicide riboswitch was hampered by the addition of fluorocytosine, and was recovered as metabolite level increased. By using this riboswitch, we isolated a N-acetyl glucosamine (GlcNAc) producer strain by screening an efficient glutamine-fructose-6-phosphate transaminase (Gfa1p) and haloacid dehalogenase-like phosphatases (HAD phosphatases) originated from Escherichia coli. The suicide riboswitch was also applied to different metabolite by using artificial allosteric ribozyme. Since the mechanisms used in this work are universal in microorganisms, our synthetic suicide riboswitch can be applied to a wide range of organisms and can be exploited to the efficient and high-throughput screening of inconspicuous phenotypes.

Metabolic engineering of Klebsiella pneumoniae for the production of cis,cis-muconic acid.

cis,cis-Muconic acid (ccMA), a metabolic intermediate of Klebsiella pneumoniae, can be converted to adipic acid and terephthalic acid, which are important monomers of synthetic polymers. However, wild-type K. pneumoniae does not produce ccMA because intracellular carbon flow does not favor ccMA biosynthesis. In this study, several metabolic engineering strategies were used in an attempt to modify the wild-type strain to induce it to produce ccMA. First, by blocking the synthesis of aromatic amino acids, 343 mg/L of catechol, a precursor of ccMA, was produced. Then, the native catechol 1,2-dioxygenasegene (catA) was overexpressed, which caused the strain to convert the catechol to ccMA. The production of ccMA was further improved by deletion of the muconate cycloisomerase gene (catB) and by deleting a feedback inhibitor of the aromatic amino acid pathway. Further improvement was achieved by adjusting the pH of the culture broth. The developed strain produced 2.1 g/L of ccMA in flask cultivation. The results showed the potential of K. pneumoniae as a ccMA producer.

Improvement of 2,3-butanediol yield in Klebsiella pneumoniae by deletion of the pyruvate formate-lyase gene.

Klebsiella pneumoniae is considered a good host strain for the production of 2,3-butanediol, which is a promising platform chemical with various industrial applications. In this study, three genes, including those encoding glucosyltransferase (wabG), lactate dehydrogenase (ldhA), and pyruvate formate-lyase (pflB), were disrupted in K. pneumoniae to reduce both its pathogenic characteristics and the production of several by-products. In flask cultivation with minimal medium, the yield of 2,3-butanediol from rationally engineered K. pneumoniae (ΔwabG ΔldhA ΔpflB) reached 0.461 g/g glucose, which was 92.2% of the theoretical maximum, with a significant reduction in by-product formation. However, the growth rate of the pflB mutant was slightly reduced compared to that of its parental strain. Comparison with similar mutants of Escherichia coli suggested that the growth defect of pflB-deficient K. pneumoniae was caused by redox imbalance rather than reduced level of intracellular acetyl coenzyme A (acetyl-CoA). From an analysis of the transcriptome, it was confirmed that the removal of pflB from K. pneumoniae significantly repressed the expression of genes involved in the formate hydrogen lyase (FHL) system.