Core pathways operating during methylotrophy of Bacillus methanolicus MGA3 and induction of a bacillithiol‐dependent detoxification pathway upon formaldehyde stress

Bacillus methanolicus MGA3 is a model facultative methylotroph of interest for fundamental research and biotechnological applications. Previous research uncovered a number of pathways potentially involved in one‐carbon substrate utilization. Here, we applied dynamic ¹³C labeling to elucidate which of these pathways operate during growth on methanol and to uncover potentially new ones. B. methanolicus MGA3 uses the assimilatory and dissimilatory ribulose monophosphate (RuMP) cycles for conversion of the central but toxic intermediate formaldehyde. Additionally, the operation of two cofactor‐dependent formaldehyde oxidation pathways with distinct roles was revealed. One is dependent on tri‐ and tetraglutamylated tetrahydrofolate (THF) and is involved in formaldehyde oxidation during growth on methanol. A second pathway was discovered that is dependent on bacillithiol, a thiol cofactor present also in other Bacilli where it is known to function in redox‐homeostasis. We show that bacillithiol‐dependent formaldehyde oxidation is activated upon an upshift in formaldehyde induced by a substrate switch from mannitol to methanol. The genes and the corresponding enzymes involved in the biosynthesis of bacillithiol were identified by heterologous production of bacillithiol in Escherichia coli. The presented results indicate metabolic plasticity of the methylotroph allowing acclimation to fluctuating intracellular formaldehyde concentrations.     

Formate as the main branch point for methylotrophic metabolism in Methylobacterium extorquens AM1

In serine cycle methylotrophs, methylene tetrahydrofolate (H4F) is the entry point of reduced one-carbon compounds into the serine cycle for carbon assimilation during methylotrophic metabolism. In these bacteria, two routes are possible for generating methylene H4F from formaldehyde during methylotrophic growth: one involving the reaction of formaldehyde with H4F to generate methylene H4F and the other involving conversion of formaldehyde to formate via methylene tetrahydromethanopterin-dependent enzymes and conversion of formate to methylene H4F via H4F-dependent enzymes. Evidence has suggested that the direct condensation reaction is the main source of methylene H4F during methylotrophic metabolism. However, mutants lacking enzymes that interconvert methylene H4F and formate are unable to grow on methanol, suggesting that this route for methylene H4F synthesis should have a significant role in biomass production during methylotrophic metabolism. This problem was investigated in Methylobacterium extorquens AM1. Evidence was obtained suggesting that the existing deuterium assay might overestimate the flux through the direct condensation reaction. To test this possibility, it was shown that only minor assimilation into biomass occurred in mutants lacking the methylene H4F synthesis pathway through formate. These results suggested that the methylene H4F synthesis pathway through formate dominates assimilatory flux. A revised kinetic model was used to validate this possibility, showing that physiologically plausible parameters in this model can account for the metabolic fluxes observed in vivo. These results all support the suggestion that formate, not formaldehyde, is the main branch point for methylotrophic metabolism in M. extorquens AM1.     

Metabolic flux analysis for recombinant protein production by Pichia pastoris using dual carbon sources: Effects of methanol feeding rate

The intracellular metabolic fluxes through the central carbon pathways in the bioprocess for recombinant human erythropoietin (rHuEPO) production by Pichia pastoris (Mut⁺) were calculated to investigate the metabolic effects of dual carbon sources (methanol/sorbitol) and the methanol feed rate, and to obtain a deeper understanding of the regulatory circuitry of P. pastoris, using the established stoichiometry‐based model containing 102 metabolites and 141 reaction fluxes. Four fed‐batch operations with (MS‐) and without (M‐) sorbitol were performed at three different constant specific growth rates (h^?1), and denoted as M‐0.03, MS‐0.02, MS‐0.03, and MS‐0.04. Considering the methanol consumption pathway, the M‐0.03 and MS‐0.02 conditions produced similar effects and had >85% of formaldehyde flux towards the assimilatory pathway. In contrast, the use of the dual carbon source condition generated a shift in metabolism towards the dissimilatory pathway that corresponded to the shift in dilution rate from MS‐0.03 to MS‐0.04, indicating that the methanol feed exceeded the metabolic requirements at the higher µ₀. Comparing M‐0.03 and MS‐0.03 conditions, which had the same methanol feeding rates, sorbitol addition increased the rHuEPO synthetic flux 4.4‐fold. The glycolysis, gluconeogenesis, and PPP pathways worked uninterruptedly only at MS‐0.02 condition. PPP and TCA cycles worked with the highest disturbances at MS‐0.04 condition, which shows the stress of increased feeding rates of methanol on cell metabolism. Biotechnol. Bioeng. 2010; 105: 317–329. © 2009 Wiley Periodicals, Inc.     

Multiphyletic origins of methylotrophy in Alphaproteobacteria,exemplified by comparative genomics of Lake Washington isolates

We sequenced the genomes of 19 methylotrophic isolates from Lake Washington, which belong to nine genera within eight families of the Alphaproteobacteria, two of the families being the newly proposed families. Comparative genomic analysis with a focus on methylotrophy metabolism classifies these strains into heterotrophic and obligately or facultatively autotrophic methylotrophs. The most persistent metabolic modules enabling methylotrophy within this group are the N‐methylglutamate pathway, the two types of methanol dehydrogenase (MxaFI and XoxF), the tetrahydromethanopterin pathway for formaldehyde oxidation, the serine cycle and the ethylmalonyl‐CoA pathway. At the same time, a great potential for metabolic flexibility within this group is uncovered, with different combinations of these modules present. Phylogenetic analysis of key methylotrophy functions reveals that the serine cycle must have evolved independently in at least four lineages of Alphaproteobacteria and that all methylotrophy modules seem to be prone to lateral transfers as well as deletions.     

Metabolic cartography: experimental quantification of metabolic fluxes from isotopic labelling studies

For the past decade, flux maps have provided researchers with an in-depth perspective on plant metabolism. As a rapidly developing field, significant headway has been made recently in computation, experimentation, and overall understanding of metabolic flux analysis. These advances are particularly applicable to the study of plant metabolism. New dynamic computational methods such as non-stationary metabolic flux analysis are finding their place in the toolbox of metabolic engineering, allowing more organisms to be studied and decreasing the time necessary for experimentation, thereby opening new avenues by which to explore the vast diversity of plant metabolism. Also, improved methods of metabolite detection and measurement have been developed, enabling increasingly greater resolution of flux measurements and the analysis of a greater number of the multitude of plant metabolic pathways. Methods to deconvolute organelle-specific metabolism are employed with increasing effectiveness, elucidating the compartmental specificity inherent in plant metabolism. Advances in metabolite measurements have also enabled new types of experiments, such as the calculation of metabolic fluxes based on (13)CO(2) dynamic labelling data, and will continue to direct plant metabolic engineering. Newly calculated metabolic flux maps reveal surprising and useful information about plant metabolism, guiding future genetic engineering of crops to higher yields. Due to the significant level of complexity in plants, these methods in combination with other systems biology measurements are necessary to guide plant metabolic engineering in the future.     

Intracellular reaction rates,enzyme activities and biomass yields in Methylomonas L3: growth rate and substrate composition effects

Summary The effects of specific growth rate and medium feed composition on the metabolic reactions of methanol incorporation and oxidation have been studied in carbon-limited, chemostatic cultures of Methylomonas L3. An in situ radioisotopic tracer technique was employed. The in vivo rates of substrate-carbon flow and the corresponding steady-state levels of several key RuMP-type methylotrophic enzymes were determined over a range of dilution rates from 0.19 to 0.41 h^-1 on methanol and methanol/formaldehyde substrates. It was determined that an absolute correlation does not exist between the in vivo specific carbon flux and the in vitro specific activity of any of the key enzymes studied. Oxidation of substrate-carbon via 6-phosphogluconate dehydrogenase is not stringently regulated in this methylotroph and the extent of its operation may be dependent on kinetic factors which make immediate cellular detoxification of formaldehyde imperative. As such, the cyclic oxidation mechanism in this methylotroph does not appear to be coupled to efficient energy utilization, since it was observed that high levels of the cyclic oxidation flux are commensurate with depressed biomass yields.     

Pathway analysis of Pichia pastoris to elucidate methanol metabolism and its regulation for production of recombinant proteins

This research rationally analyzes metabolic pathways of Pichia pastoris to study the metabolic flux responses of this yeast under methanol metabolism. A metabolic model of P. pastoris was constructed and analyzed by elementary mode analysis (EMA). EMA was used to comprehensively identify the cell's metabolic flux profiles and its underlying regulation mechanisms for the production of recombinant proteins from methanol. Change in phenotypes and flux profiles during methanol adaptation with varying feed mixture of glycerol and methanol was examined. EMA identified increasing and decreasing fluxes during the glycerol–methanol metabolic shift, which well agreed with experimental observations supporting the validity of the metabolic network model. Analysis of all the identified pathways also led to the determination of the metabolic capacities as well as the optimum metabolic pathways for recombinant protein synthesis during methanol induction. The network sensitivity analysis revealed that the production of proteins can be improved by manipulating the flux ratios at the pyruvate branch point. In addition, EMA suggested that protein synthesis is optimum under hypoxic culture conditions. The metabolic modeling and analysis presented in this study could potentially form a valuable knowledge base for future research on rational design and optimization of P. pastoris by determining target genes, pathways, and culture conditions for enhanced recombinant protein synthesis. The metabolic pathway analysis is also of considerable value for production of therapeutic proteins by P. pastoris in biopharmaceutical applications. © 2013 American Institute of Chemical Engineers Biotechnol. Prog., 30:28–37, 2014     

The use of stable isotopes in the study of human pathophysiology

The growing prevalence of metabolic diseases including fatty liver disease and Type 2 diabetes has increased the emphasis on understanding metabolism at the mechanistic level and how it is perturbed in disease. Metabolomics is a continually expanding field that seeks to measure metabolites in biological systems during a physiological stimulus or a genetic alteration. Typically, metabolomics studies provide total pool sizes of metabolites rather than dynamic flux measurements. More recently there has been a resurgence in approaches that use stable isotopes (e.g. ²H and ¹³C) for the unambiguous tracking of individual atoms through compartmentalised metabolic networks in humans to determine underlying mechanisms. This is known as metabolic flux analysis and enables the capture of a dynamic picture of the metabolome and its interactions with the genome and proteome. In this review, we describe current approaches using stable isotope labelling in the field of metabolomics and provide examples of studies that led to an improved understanding of glucose, fatty acid and amino acid metabolism in humans, particularly in relation to metabolic disease. Examples include the use of stable isotopes of glucose to study tumour bioenergetics as well as brain metabolism during traumatic brain injury. Lipid tracers have also been used to measure non-esterified fatty acid production whilst amino acid tracers have been used to study the rate of protein digestion on whole body postprandial protein metabolism. In addition, we illustrate the use of stable isotopes for measuring flux in human physiology by providing examples of breath tests to measure insulin resistance and gastric emptying rates.     

An Escherichia coli S1-like ribosomal protein is immunologically conserved in Gram-negative bacteria, but not in Gram-positive bacteria

Abstract A study was made of the enzymology of primary and intermediary pathways of C₁ metabolism in three strains of non-motile obligately methylotrophic bacteria. Each uses a variant of the ribulosemonophosphate (RMP) cycle of formaldehyde fixation which involves the Entner-Doudoroff route for hexose-phosphate cleavage and transaldolase/transketolase mode of rearrangement. The organisms possess high levels of hexulose-phosphate synthase and NAD(P)-linked glucose-6-phosphate and 6-phosphogluconate dehydrogenases. In addition they contain small activities of dye-linked methanol and methylamine dehydrogenases, PMS- and NAD-linked formaldehyde and formate dehydrogenases. This indicates cyclic rather than direct oxidation of formaldehyde derived from methanol or methylamine. The tricarboxylic acid cycle is defective in 2-ketoglutarate dehydrogenase and the glyoxylate shunt is not operating because of the absence of malate synthase. Oxaloacetate is regenerated by (phosphoenol) pyruvate carboxylases. NH⁺ ₄ is assimilated mainly by glutamate dehydrogenase. The results show metabolic similarities between motile and non-motile obligate methanol and methylamine utilizers.     

Methanol may function as a cross-kingdom signal

Recently, we demonstrated that leaf wounding results in the synthesis of pectin methylesterase (PME), which causes the plant to release methanol into the air. Methanol emitted by a wounded plant increases the accumulation of methanol-inducible gene mRNA and enhances antibacterial resistance as well as cell-to-cell communication, which facilitates virus spreading in neighboring plants. We concluded that methanol is a signaling molecule involved in within-plant and plant-to-plant communication. Methanol is considered to be a poison in humans because of the alcohol dehydrogenase (ADH)-mediated conversion of methanol into toxic formaldehyde. However, recent data showed that methanol is a natural compound in normal, healthy humans. These data call into question whether human methanol is a metabolic waste product or whether methanol has specific function in humans. Here, to reveal human methanol-responsive genes (MRGs), we used suppression subtractive hybridization cDNA libraries of HeLa cells lacking ADH and exposed to methanol. This design allowed us to exclude genes involved in formaldehyde and formic acid detoxification from our analysis. We identified MRGs and revealed a correlation between increases in methanol content in the plasma and changes in human leukocyte MRG mRNA levels after fresh salad consumption by volunteers. Subsequently, we showed that the methanol generated by the pectin/PME complex in the gastrointestinal tract of mice induces the up- and downregulation of brain MRG mRNA. We used an adapted Y-maze to measure the locomotor behavior of the mice while breathing wounded plant vapors in two-choice assays. We showed that mice prefer the odor of methanol to other plant volatiles and that methanol changed MRG mRNA accumulation in the mouse brain.We hypothesize that the methanol emitted by wounded plants may have a role in plant-animal signaling. The known positive effect of plant food intake on human health suggests a role for physiological methanol in human gene regulation.     

Metabolism of monocarbon compounds during biological purification of sewage waters]

Pathways and rates of metabolism of three 14C1-compounds (methanol, formaldehyde, and formic acid) were investigated by means of the heterogeneous population of activated sludge microorganisms. For the above microbial population formaldehyde was the primary or preferential substrate. During an hour aeration it was processed by activated sludge 6 times faster than by sodium formiate and 2 times faster than by methanol. The basic pathways of its transformation were oxidation via formiate to CO2 with its partial reutilization and direct incorporation into the sludge biomass via the primary formation of serine. An addition of methanol increased the incorporation of 14C-formadehyde into biomass and decreased the formation of free 14CO2. The main mechanism of the transformation of 14C-formiate in activated sludge was its oxidation to CO2. An addition of methanol and formaldehyde induced no essential changes in the rate or pattern of their metabolism.     

Metabolic network reconstruction and flux variability analysis of storage synthesis in developing oilseed rape (Brassica napus L.) embryos

Computational simulation of large‐scale biochemical networks can be used to analyze and predict the metabolic behavior of an organism, such as a developing seed. Based on the biochemical literature, pathways databases and decision rules defining reaction directionality we reconstructed bna572, a stoichiometric metabolic network model representing Brassica napus seed storage metabolism. In the highly compartmentalized network about 25% of the 572 reactions are transport reactions interconnecting nine subcellular compartments and the environment. According to known physiological capabilities of developing B. napus embryos, four nutritional conditions were defined to simulate heterotrophy or photoheterotrophy, each in combination with the availability of inorganic nitrogen (ammonia, nitrate) or amino acids as nitrogen sources. Based on mathematical linear optimization the optimal solution space was comprehensively explored by flux variability analysis, thereby identifying for each reaction the range of flux values allowable under optimality. The range and variability of flux values was then categorized into flux variability types. Across the four nutritional conditions, approximately 13% of the reactions have variable flux values and 10–11% are substitutable (can be inactive), both indicating metabolic redundancy given, for example, by isoenzymes, subcellular compartmentalization or the presence of alternative pathways. About one‐third of the reactions are never used and are associated with pathways that are suboptimal for storage synthesis. Fifty‐seven reactions change flux variability type among the different nutritional conditions, indicating their function in metabolic adjustments. This predictive modeling framework allows analysis and quantitative exploration of storage metabolism of a developing B. napus oilseed.     

甲醇/山梨醇共混流加诱导改变毕赤酵母生产猪α干扰素过程的代谢产能途径强化发酵性能

旨在探讨毕赤酵母生产猪α干扰素过程的代谢产能规律及其对发酵性能的影响。在10 L罐下,开展了不同诱导条件下的毕赤酵母高效发酵生产猪α干扰素过程的代谢酶学和能量再生分析研究。结果表明:甲醇单独诱导条件下、将诱导温度从30℃降低到20℃,胞内醇氧化酶(AOX)、甲醛脱氢酶(FLD)和甲酸脱氢酶(FDH)的比活性增加显著,细胞的甲醇代谢和甲醛异化产能能力、猪α干扰素抗病毒活性大幅提高,最高抗病毒活性达到1.4×106IU/mL,约为30℃诱导条件下的10倍。30℃、甲醇/山梨醇共混流加下,主要供能途径由甲醇单独诱导时的甲醛异化代谢转向TCA循环,甲醛异化供能途径被弱化、毒副产物甲醛的生成积累得到抑制,走向目标蛋白合成途径的甲醇分配比例得到提高。此时,最高抗病毒活性达到1.8×107IU/mL,是30℃甲醇单独诱导下最高活性的100倍以上。更加重要的是,共混流加诱导可以在常温、使用空气供氧的条件下进行,发酵成本明显下降、整体发酵性能改善显著。     

甲醇的生物利用与转化*

甲醇作为一种来源广泛、价格低廉、还原度高的非粮原料有望成为下一代生物制造的关键原料。利用合成生物学技术构建能够高效利用甲醇的重组微生物以实现从甲醇到高值化学品的生物转化已成国内外研究热点,但由于甲醇代谢过程的特殊性及复杂性,目前人工设计的甲基营养菌还难以实现以甲醇为唯一碳源进行生长及产物合成。基于对天然甲基营养菌甲醇代谢过程的分析,从甲醇脱氢酶的筛选与改造、甲醛同化途径的重构与优化、甲醇到化学品的生物转化几个方面对合成型甲基营养菌的构建策略及面临的挑战进行总结与分析,以期为今后合成型甲基营养菌的人工设计和利用提供一定的借鉴。     

Dynamic flux balance analysis of the metabolism of Saccharomyces cerevisiae during the shift from fully respirative or respirofermentative metabolic states to anaerobiosis

Dynamic flux balance analysis was utilized to simulate the metabolic behaviour of initially fully respirative and respirofermentative steady-state cultures of Saccharomyces?cerevisiae during sudden oxygen depletion. The hybrid model for the dynamic flux balance analysis included a stoichiometric genome-scale metabolic model as a static part and dynamic equations for the uptake of glucose and the cessation of respirative metabolism. The yeast consensus genome-scale metabolic model [Herrg?rd MJ et?al. (2008) Nat Biotechnol26, 1155-1160; Dobson PD et?al. (2010) BMC Syst Biol4, 145] was refined with respect to oxygen-dependent energy metabolism and further modified to reflect S.?cerevisiae anabolism in the absence of oxygen. Dynamic flux balance analysis captured well the essential features of the dynamic metabolic behaviour of S.?cerevisiae during adaptation to anaerobiosis. Modelling and simulation enabled the identification of short time-scale flux distribution dynamics under the transition to anaerobic metabolism, during which the specific growth rate was reduced, as well as longer time-scale process dynamics when the specific growth rate recovered. Expression of the metabolic genes was set into the context of the identified dynamics. Metabolic gene expression responses associated with the specific growth rate and with the cessation of respirative metabolism were distinguished.     

The Ability of Flux Balance Analysis to Predict Evolution of Central Metabolism Scales with the Initial Distance to the Optimum

The most powerful genome-scale framework to model metabolism, flux balance analysis (FBA), is an evolutionary optimality model. It hypothesizes selection upon a proposed optimality criterion in order to predict the set of internal fluxes that would maximize fitness. Here we present a direct test of the optimality assumption underlying FBA by comparing the central metabolic fluxes predicted by multiple criteria to changes measurable by a ¹³C-labeling method for experimentally-evolved strains. We considered datasets for three Escherichia coli evolution experiments that varied in their length, consistency of environment, and initial optimality. For ten populations that were evolved for 50,000 generations in glucose minimal medium, we observed modest changes in relative fluxes that led to small, but significant decreases in optimality and increased the distance to the predicted optimal flux distribution. In contrast, seven populations evolved on the poor substrate lactate for 900 generations collectively became more optimal and had flux distributions that moved toward predictions. For three pairs of central metabolic knockouts evolved on glucose for 600–800 generations, there was a balance between cases where optimality and flux patterns moved toward or away from FBA predictions. Despite this variation in predictability of changes in central metabolism, two generalities emerged. First, improved growth largely derived from evolved increases in the rate of substrate use. Second, FBA predictions bore out well for the two experiments initiated with ancestors with relatively sub-optimal yield, whereas those begun already quite optimal tended to move somewhat away from predictions. These findings suggest that the tradeoff between rate and yield is surprisingly modest. The observed positive correlation between rate and yield when adaptation initiated further from the optimum resulted in the ability of FBA to use stoichiometric constraints to predict the evolution of metabolism despite selection for rate.