Engineering the productivity of recombinant Escherichia coli for limonene formation from glycerol in minimal media

The efficiency and productivity of cellular biocatalysts play a key role in the industrial synthesis of fine and bulk chemicals. This study focuses on optimizing the synthesis of (S)‐limonene from glycerol and glucose as carbon sources using recombinant Escherichia coli. The cyclic monoterpene limonene is extensively used in the fragrance, food, and cosmetic industries. Recently, limonene also gained interest as alternative jet fuel of biological origin. Key parameters that limit the (S)‐limonene yield, related to genetics, physiology, and reaction engineering, were identified. The growth‐dependent production of (S)‐limonene was shown for the first time in minimal media. E. coli BL21 (DE3) was chosen as the preferred host strain, as it showed low acetate formation, fast growth, and high productivity. A two‐liquid phase fed‐batch fermentation with glucose as the sole carbon and energy source resulted in the formation of 700 mg L_org^–1 (S)‐limonene. Specific activities of 75 mU g_cdw^–1 were reached, but decreased relatively quickly. The use of glycerol as a carbon source resulted in a prolonged growth and production phase (specific activities of ≥50 mU g_cdw^–1) leading to a final (S)‐limonene concentration of 2,700 mg L_org^–1. Although geranyl diphosphate (GPP) synthase had a low solubility, its availability appeared not to limit (S)‐limonene formation in vivo under the conditions investigated. GPP rerouting towards endogenous farnesyl diphosphate (FPP) formation also did not limit (S)‐limonene production. The two‐liquid phase fed‐batch setup led to the highest monoterpene concentration obtained with a recombinant microbial biocatalyst to date.     

Chromatographic isolation of methionine-containing peptides for gel-free proteome analysis: identification of more than 800 Escherichia coli proteins

A novel gel-free proteomic technology was used to identify more than 800 proteins from 50 million Escherichia coli K12 cells in a single analysis. A peptide mixture is first obtained from a total unfractionated cell lysate, and only the methionine-containing peptides are isolated and identified by mass spectrometry and database searching. The sorting procedure is based on the concept of diagonal chromatography but adapted for highly complex mixtures. Statistical analysis predicts that we have identified more than 40% of the expressed proteome, including soluble and membrane-bound proteins. Next to highly abundant proteins, we also detected low copy number components such as the E. coli lactose operon repressor, illustrating the high dynamic range. The method is about 100 times more sensitive than two-dimensional gel-based methods and is fully automated. The strongest point, however, is the flexibility in the peptide sorting chemistry, which may target the technique toward quantitative proteomics of virtually every class of peptides containing modifiable amino acids, such as phosphopeptides, amino-terminal peptides, etc., adding a new dimension to future proteome research.     

Metabolic engineering of Escherichia coli for enhanced biosynthesis of poly(3-hydroxybutyrate) based on proteome analysis

We have previously analyzed the proteome of recombinant Escherichia coli producing poly(3-hydroxybutyrate) [P(3HB)] and revealed that the expression level of several enzymes in central metabolism are proportional to the amount of P(3HB) accumulated in the cells. Based on these results, the amplification effects of triosephosphate isomerase (TpiA) and fructose-bisphosphate aldolase (FbaA) on P(3HB) synthesis were examined in recombinant E. coli W3110, XL1-Blue, and W lacI mutant strains using glucose, sucrose and xylose as carbon sources. Amplification of TpiA and FbaA significantly increased the P(3HB) contents and concentrations in the three E. coli strains. TpiA amplification in E. coli XL1-Blue lacI increased P(3HB) from 0.4 to 1.6 to g/l from glucose. Thus amplification of glycolytic pathway enzymes is a good strategy for efficient production of P(3HB) by allowing increased glycolytic pathway flux to make more acetyl-CoA available for P(3HB) biosynthesis.     

大肠埃希菌蛋白指纹图谱的建立

目的建立大肠埃希菌（Escherichia coli,E．coli）蛋白指纹图谱,为Ecoli感染快速诊断奠定基础。方法收集临床分离E.coli88株,提取细菌DNA,PCR检测Ecoli 16S rRNA。蛋白提取液提取细菌蛋白,干化学法测蛋白浓度,应用表面增强激光解析电离飞行时间质谱技术（SELDI-TOF-MS）检测Ecoli蛋白,采用Ciphergen Pro-teinchip软件自动采集数据。重复测定20次Ecoli混合标本,评价SELDI检测Ecoli蛋白分子量的重复性。结果E．coil标准菌株ATCC 25922和临床分离株均可检出16S rRNA。AU芯片能捕获近30个E．coli蛋白峰,其中19个蛋白峰构成E．coli特征性蛋白指纹图谱,各蛋白峰在临床分离E．coli间分子量变异系数≤0．2％。SELDI重复检测20次E．coli混合标本显示同一蛋白峰的分子量变异系数≤0．05％。结论E．coli在分子量3～20kD范围内具有特征性蛋白指纹图谱,为快速诊断E.coli感染提供了新思路。     

Informatic tools for proteome profiling

In recent years, the practice of proteomics research has experienced a dramatic shift within the pharmaceutical and biotechnology industry with the widespread implementation of novel applications. The areas of interest extend all the way from discovery of novel drug, vaccine, and diagnostic targets, characterization of protein-based products, toxicology, and identification of surrogate markers of activity in clinical research, to the ability to provide information on the mechanisms of drug action. The power of two-dimensional gel electrophoresis as well as advances in mass spectrometric techniques combined with sequence database correlation have enabled speed and accuracy in identification of proteins in complex mixtures. This article surveys currently available software and informatic tools related to these methods for proteome profiling. The broad acceptance of these technologies, however, has not been accompanied by significant advances in the informatics and software tools necessary to support the analysis and management of the massive amounts of data generated in the process. In this context, this article also discusses the importance of relational databases for protein identification data management.     

Engineering ethanologenic Escherichia coli for levoglucosan utilization

Levoglucosan is a major product of biomass pyrolysis. While this pyrolyzed biomass, also known as bio-oil, contains sugars that are an attractive fermentation substrate, commonly-used biocatalysts, such as Escherichia coli, lack the ability to metabolize this anhydrosugar. It has previously been shown that recombinant expression of the levoglucosan kinase enzyme enables use of levoglucosan as carbon and energy source. Here, ethanologenic E. coli KO11 was engineered for levoglucosan utilization by recombinant expression of levoglucosan kinase from Lipomyces starkeyi. Our engineering strategy uses a codon-optimized gene that has been chromosomally integrated within the pyruvate to ethanol (PET) operon and does not require additional antibiotics or inducers. Not only does this engineered strain use levoglucosan as sole carbon source, but it also ferments levoglucosan to ethanol. This work demonstrates that existing biocatalysts can be easily modified for levoglucosan utilization.     

Engineering HlyA hypersecretion in Escherichia coli based on proteomic and microarray analyses

Escherichia coli is a common host for recombinant protein production for biotechnology applications. Secretion to the extracellular media has the potential to reduce protein aggregation and to simplify downstream purification. However, the complexity of the mechanisms of protein secretion has confounded prior attempts to engineer enhanced secretion phenotypes. Here, mutagenesis was used to perturb E. coli W3110 cells secreting HlyA via a Type I pathway. An activity assay identified a mutant secreting fourfold more active alpha-hemolysin than the parent strain. The mutant was characterized using both high-density microarrays for mRNA profiling and a proteomics strategy for protein expression. The relative mRNA and protein expression levels of tRNA-synthetases were decreased in the mutant compared to the parent. A mathematical model of prokaryotic translation was used to design a variant of the hlyA gene that encodes the same amino acid sequence but uses rare codons to slow the rate of translation by altering five bases. Analysis of the parent strain transformed with a plasmid containing this variant gene resulted in the recovery of, and further improvement upon, the selected hypersecretion phenotype. These results present one of the first successful metabolic engineering attempts based on molecular information provided by mRNA and protein expression profiling approaches and resulting in a phenotype useful to the biotechnology community.     

Enhanced proteome profiling by inhibiting proteolysis with small heat shock proteins

Proteolytic degradation is one of the critical problems in two-dimensional electrophoresis (2-DE). Here we report that small heat shock proteins (sHsps), including IbpA(Ec) and IbpB(Ec) from Escherichia coli and Hsp26(Sc) from Saccharomyces cerevisiae, are able to protect proteins in vitro from proteolytic degradation. Addition of sHsps during 2-DE of human serum or whole cell extracts of E. coli, Mannheimia succinciproducens, Arabidopsis thaliana, and human kidney cells allowed detection of up to 50% more protein spots than those obtainable with currently available protease inhibitors. Therefore, the use of sHsps during 2-DE significantly improves proteome profiling by generally enabling the detection of many more protein spots that could not be seen previously.     

Differential quantitative proteome analysis of Escherichia coli grown on acetate versus glucose

Relative protein abundances of Escherichia coli MG1655 growing exponentially on minimal medium with acetate or glucose as the sole carbon source were investigated in a quantitative shotgun proteome analysis with TMT6‐plex isobaric tags. Peptides were separated by high resolution high/low pH 2D‐LC, using an optimized fraction pooling scheme followed by mass spectrometric analysis. Quantitative data were acquired for 2099 proteins covering 49% of the predicted E. coli proteins, showing system‐wide effects of growth conditions. In total, 507 proteins showed a fold change of at least 1.5 and 205 proteins changed by more than twofold. Significant differences in abundance were observed for most of the proteins in the central carbon metabolism and in proteins relevant for amino acid and protein synthesis, processing of environmental information and scavenging of a variety of alternate carbon sources. Periplasmic‐binding proteins were also more abundant on acetate, especially proteins involved in scavenging extracellular resources such as sugars. All MS data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository (dataset identifier PXD003863).     

Proteomic profiling of Escherichia coli proteins under high cell density fed-batch cultivation with overexpression of phosphogluconolactonase

In this study, we used proteomics to better understand the growth on glucose of Escherichia coli in high cell density, fed-batch cultures and the response to overexpression of plasmid-encoded 6-phosphogluconolactonase (PGL). Using liquid chromatography coupled to electrospray mass spectrometry, at least 300 proteins were identified in the cytosolic fraction of the six time points used to monitor the fermentation. The relative abundance changes of selected proteins were obtained by comparing the peak area of the corresponding peptides at a particular m/z (mass over charge ratio) value. During the time course of samples collected during the rapid growth achieved under batch and fed-batch conditions, both the control and recombinant E. coli strains showed up-regulation of proteins participating in the tricarboxylic acid (TCA) cycle, particularly acetyl-CoA synthetase (AcCoAS), malate dehydrogenase (MDH), and succinyl-CoA synthetase (SuccCoAS). In the recombinant strain culture, fumarase was up-regulated until 35 h after inoculation but was not in the control strain culture. In addition, the proteomic measurement detected up-regulation of three well-characterized binding transport proteins in both control and recombinant strains. The up-regulation of TCA cycle enzymes is consistent with the increase in growth rate observed in the cell culture. In addition, up-regulation of these proteins demonstrated the importance of both the pentose-phosphate shunt and TCA cycle to the increased biosynthetic activity required by a high level protein synthesis. This study shows the potential of proteomics using shotgun sequencing (LC/MS of tryptic digests) to measure global changes in protein abundance during a fermentation process and will facilitate the development of robust manufacturing systems.     

Design of a seven-genome Escherichia coli microarray for comparative genomic profiling

We describe the design and evaluate the use of a high-density oligonucleotide microarray covering seven sequenced Escherichia coli genomes in addition to several sequenced E. coli plasmids, bacteriophages, pathogenicity islands, and virulence genes. Its utility is demonstrated for comparative genomic profiling of two unsequenced strains, O175:H16 D1 and O157:H7 3538 (Deltastx(2)::cat) as well as two well-known control strains, K-12 W3110 and O157:H7 EDL933. By using fluorescently labeled genomic DNA to query the microarrays and subsequently analyze common virulence genes and phage elements and perform whole-genome comparisons, we observed that O175:H16 D1 is a K-12-like strain and confirmed that its phi3538 (Deltastx(2)::cat) phage element originated from the E. coli 3538 (Deltastx(2)::cat) strain, with which it shares a substantial proportion of phage elements. Moreover, a number of genes involved in DNA transfer and recombination was identified in both new strains, providing a likely explanation for their capability to transfer phi3538 (Deltastx(2)::cat) between them. Analyses of control samples demonstrated that results using our custom-designed microarray were representative of the true biology, e.g., by confirming the presence of all known chromosomal phage elements as well as 98.8 and 97.7% of queried chromosomal genes for the two control strains. Finally, we demonstrate that use of spatial information, in terms of the physical chromosomal locations of probes, improves the analysis.     

Engineering Escherichia coli for methanol-dependent growth on glucose for metabolite production

Synthetic methylotrophy aims to engineer methane and methanol utilization pathways in platform hosts like Escherichia coli for industrial bioprocessing of natural gas and biogas. While recent attempts to engineer synthetic methanol auxotrophs have proved successful, these studies focused on scarce and expensive co-substrates. Here, we engineered E. coli for methanol-dependent growth on glucose, an abundant and inexpensive co-substrate, via deletion of glucose 6-phosphate isomerase (pgi), phosphogluconate dehydratase (edd), and ribose 5-phosphate isomerases (rpiAB). Since the parental strain did not exhibit methanol-dependent growth on glucose in minimal medium, we first achieved methanol-dependent growth via amino acid supplementation and used this medium to evolve the strain for methanol-dependent growth in glucose minimal medium. The evolved strain exhibited a maximum growth rate of 0.15 h⁻¹ in glucose minimal medium with methanol, which is comparable to that of other synthetic methanol auxotrophs. Whole genome sequencing and ¹³C-metabolic flux analysis revealed the causative mutations in the evolved strain. A mutation in the phosphotransferase system enzyme I gene (ptsI) resulted in a reduced glucose uptake rate to maintain a one-to-one molar ratio of substrate utilization. Deletion of the e14 prophage DNA region resulted in two non-synonymous mutations in the isocitrate dehydrogenase (icd) gene, which reduced TCA cycle carbon flux to maintain the internal redox state. In high cell density glucose fed-batch fermentation, methanol-dependent acetone production resulted in 22% average carbon labeling of acetone from ¹³C-methanol, which far surpasses that of the previous best (2.4%) found with methylotrophic E. coli Δpgi. This study addresses the need to identify appropriate co-substrates for engineering synthetic methanol auxotrophs and provides a basis for the next steps toward industrial one-carbon bioprocessing.