Collisional fragmentation of central carbon metabolites in LC-MS/MS increases precision of ¹³C metabolic flux analysis

Experimental determination of fluxes by (13)C-tracers relies on detection of (13)C-patterns in metabolites or by-products. In the field of (13)C metabolic flux analysis, the most recent developments point toward recording labeling patterns by liquid chromatography (LC)-mass spectrometry (MS)/MS directly in intermediates in central carbon metabolism (CCM) to increase temporal resolution. Surprisingly, the flux studies published so far with LC-MS measurements were based on intact metabolic intermediates-thus neglected the potential benefits of using positional information to improve flux estimation. For the first time, we exploit collisional fragmentation to obtain more fine-grained (13)C-data on intermediates of CCM and investigate their impact in (13)C metabolic flux analysis. For the case study of Bacillus subtilis grown in mineral medium with (13)C-labeled glucose, we compare the flux estimates obtained by iterative isotopologue balancing of (13)C-data obtained either by LC-MS/MS for solely intact intermediates or LC-MS/MS for intact and fragmented intermediates of CCM. We show that with LC-MS/MS data, fragment information leads to more precise estimates of fluxes in pentose phosphate pathway, glycolysis, and to the tricarboxylic acid cycle. Additionally, we present an efficient analytical strategy to rapidly acquire large sets of (13)C-patterns by tandem MS, and an in-depth analysis of the collisional fragmentation of primary intermediates. In the future, this catalogue will enable comprehensive in silico calculability analyses to identify the most sensitive measurements and direct experimental design.     

13C‐metabolic flux analysis for batch culture of Escherichia coli and its pyk and pgi gene knockout mutants based on mass isotopomer distribution of intracellular metabolites

Since most bio‐production processes are conducted in a batch or fed‐batch manner, the evaluation of metabolism with respect to time is highly desirable. Toward this aim, we applied ¹³C‐metabolic flux analysis to nonstationary conditions by measuring the mass isotopomer distribution of intracellular metabolites. We performed our analysis on batch cultures of wild‐type Escherichia coli, as well as on Pyk and Pgi mutants, obtained the fluxes and metabolite concentrations as a function of time. Our results for the wild‐type indicated that the TCA cycle flux tended to increase during growth on glucose. Following glucose exhaustion, cells controlled the branch ratio between the glyoxylate pathway and the TCA cycle, depending on the availability of acetate. In the Pyk mutant, the concentrations of glycolytic intermediates changed drastically over time due to the dumping and feedback inhibition caused by PEP accumulation. Nevertheless, the flux distribution and free amino acid concentrations changed little. The growth rate and the fluxes remained constant in the Pgi mutant and the glucose‐6‐phosphate dehydrogenase reaction was the rate‐limiting step. The measured fluxes were compared with those predicted by flux balance analysis using maximization of biomass yield or ATP production. Our findings indicate that the objective function of biosynthesis became less important as time proceeds on glucose in the wild‐type, while it remained highly important in the Pyk mutant. Furthermore, ATP production was the primary objective function in the Pgi mutant. This study demonstrates how cells adjust their metabolism in response to environmental changes and/or genetic perturbations in the batch cultivation. © 2010 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Photobioreactor design for isotopic non‐stationary 13C‐metabolic flux analysis (INST 13C‐MFA) under photoautotrophic conditions

Adaptive metabolic behavior of photoautotrophic microorganisms toward genetic and environmental perturbations can be interpreted in a quantitative depiction of carbon flow through a biochemical reaction network using isotopic non‐stationary ¹³C‐metabolic flux analysis (INST ¹³C‐MFA). To evaluate ¹³C‐metabolic flux maps for Chlamydomonas reinhardtii, an original experimental framework was designed allowing rapid, reliable collection of high‐quality isotopomer data against time. It involved (i) a short‐time ¹³C labeling injection device based on mixing control in a torus‐shaped photobioreactor with plug‐flow hydrodynamics allowing a sudden step‐change in the ¹³C proportion in the substrate feed and (ii) a rapid sampling procedure using an automatic fast filtration method coupled to a manual rapid liquid nitrogen quenching step. ¹³C‐substrate labeling enrichment was controlled through the total dissolved inorganic carbon concentration in the pulsed solution. First results were obtained from steady‐state continuous culture measurements allowing the characterization of the kinetics of label incorporation into light‐limited growing cells cultivated in a photobioreactor operating at the maximal biomass productivity for an incident photon flux density of 200 µmol m^?2 s^?1. ¹³C label incorporation was measured for 21 intracellular metabolites using IC‐MS/MS in 58 samples collected across a labeling experiment duration of 7 min. The fastest labeling rate was observed for 2/3‐phosphoglycerate with an apparent isotopic stationary state reached after 300 s. The labeling rate was consistent with the optimized mixing time of about 4.9 s inside the reactor and the shortest reliable sampling period assessed at 5 s. Biotechnol. Bioeng. 2012; 109: 3030–3040. © 2012 Wiley Periodicals, Inc.     

LC-MS/MS quantification of short-chain acyl-CoA's in Escherichia coli demonstrates versatile propionyl-CoA synthetase substrate specificity

Aims: This paper utilized quantitative LC‐MS/MS to profile the short‐chain acyl‐CoA levels of several strains of Escherichia coli engineered for heterologous polyketide production. To further compare and potentially expand the levels of available acyl‐CoA molecules, a propionyl‐CoA synthetase gene from Ralstonia solanacearum (prpE‐RS) was synthesized and expressed in the engineered strain BAP1. Methods and Results: Upon feeding propionate, the engineered E. coli strains had increased the levels of both propionyl‐ and methylmalonyl‐CoA of 6‐ to 30‐fold and 3·7‐ to 6·8‐fold, respectively. Expression of prpE‐RS resulted in no significant increases in acetyl‐, butyryl‐ and propionyl‐CoA when fed the corresponding substrates (sodium acetate, butyrate or propionate). More interesting, however, were the results from strain BAP1 engineered for native prpE overexpression, which indicated increases in the same range of acyl‐CoA formation. Conclusions: The increased acyl‐CoA levels across the strains profiled in this study reflect the genetic modifications implemented for improved polyketide production and also indicate flexibility of the native PrpE. Significance and Impact of the Study: The results provide direct evidence of enhanced acyl‐CoA levels correlating to those strains engineered for polyketide biosynthesis. This information and the inherent flexibility of the native PrpE enzyme support future efforts to characterize, engineer and extend acyl‐CoA precursor supply for additional heterologous biosynthetic attempts.     

基于代谢流量分布信息理解大肠杆菌中异柠檬酸裂解酶调节因子的代谢调控作用

基因的表达受不同的转录调节因子调节。大肠杆菌中的异柠檬酸裂解酶调节因子(IclR)能够抑制编码乙醛酸支路酶的aceBAK操纵子的表达。本研究基于代谢物的13C同位体物质分布来定量解析代谢反应,主要研究了iclR基因在大肠杆菌生理和代谢中的作用。大肠杆菌iclR基因缺失突变株的生长速率、糖耗速率和乙酸的产量相对于原始菌株都有所降低,但菌体得率略有增加。通过代谢途径的流量比率分析发现基因缺失株的乙醛酸支路得到了激活,33%的异柠檬酸流经了乙醛酸支路;戊糖磷酸途径的流量变小,使得CO2的生成量减少。同时,乙醛酸支路激活,但草酰乙酸形成磷酸烯醇式丙酮酸的流量基本不变,说明磷酸烯醇式丙酮酸-乙醛酸循环没有激活,没有过多的碳原子在磷酸烯醇式丙酮酸羧化激酶反应中以CO2形式排出,从而确保了菌体得率。葡萄糖利用速率的降低、乙酰辅酶A的代谢效率提高等使得iclR基因敲除菌的乙酸分泌较原始菌株有所降低。     

不同溶氧条件下L-苏氨酸生物合成菌株的代谢流量分析

[目的]探索L-苏氨酸生物合成机理及影响因素.[方法]建立了大肠杆菌L-苏氨酸的代谢流平衡模型,应用MATLAB软件计算出不同溶氧条件下发酵中后期代谢网络的代谢流分布及理想代谢流分布.[结果]5%溶氧条件下,25.5%碳架进入HMP途径,74.5%碳架进入糖酵解途径,获得33.9%质量转化率;20%溶氧条件下,58.08%碳架进入HMP途径,41.92%碳架进入糖酵解途径,获得46.5%质量转化率;[结论]与理想代谢流(88.23%质量转化率)相比,应从菌种改造和发酵控制方面通过改变6-磷酸葡萄糖异构酶借以增加HMP途径代谢流量,通过增加磷酸烯醇式丙酮酸羧化反应代谢流提高天冬氨酸族合成代谢流,减少TCA循环代谢流量,从而达到减少副产物生成,增加L-苏氨酸生物合成的目的.