Not just a circle: flux modes in the plant TCA cycle
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1. The contribution of Co2 fixation to the anaplerotic mechanisms in the myocardium was investigated in isolated perfused rat hearts. 2. K+-induced arrest of the heart was used to elicit a transition in the concentrations of the intermediates of the tricarboxylic acid cycle. 3. Incorporation of 14C from [14]bicarbonate into tricarboxylic acid-cycle intermediates was measured and the rates of the reactions of the cycle were estimated by means of a linear optimization program which solves the differential equations describing a simulation model of the tricarboxylic acid cycle and related reactions. 4. The results showed that the rate of CO2 fixation is dependent on the metabolic state of the myocardium. Upon a sudden diminution of cellular ATP consumption, the pool size of the tricarboxylic acid-cycle metabolites increased and the rate of label incorporation from [14C]bicarbonate into the cycle metabolites increased simultaneously. The computer model was necessary to separate the rapid equilibration between bicarbonate and some metabolites from the potentially anaplerotic reactions. The main route of anaplerosis during metabolite accumulation was through malate + oxaloacetate. Under steady-state conditions there was a constant net outward flow from the tricarboxylic acid cycle via the malate + oxaloacetate pool, with a concomitant anaplerotic flow from metabolites forming succinyl-CoA (3-carboxypropionyl-CoA).
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ABSTRACT Obligatory anaerobic bacteria are major contributors to the overall metabolism of soil and the human gut. The metabolic pathways of these bacteria remain, however, poorly understood. Using isotope tracers, mass spectrometry, and quantitative flux modeling, here we directly map the metabolic pathways of Clostridium acetobutylicum , a soil bacterium whose major fermentation products include the biofuels butanol and hydrogen. While genome annotation suggests the absence of most tricarboxylic acid (TCA) cycle enzymes, our results demonstrate that this bacterium has a complete, albeit bifurcated, TCA cycle; oxaloacetate flows to succinate both through citrate/α-ketoglutarate and via malate/fumarate. Our investigations also yielded insights into the pathways utilized for glucose catabolism and amino acid biosynthesis and revealed that the organism's one-carbon metabolism is distinct from that of model microbes, involving reversible pyruvate decarboxylation and the use of pyruvate as the one-carbon donor for biosynthetic reactions. This study represents the first in vivo characterization of the TCA cycle and central metabolism of C. acetobutylicum . Our results establish a role for the full TCA cycle in an obligatory anaerobic organism and demonstrate the importance of complementing genome annotation with isotope tracer studies for determining the metabolic pathways of diverse microbes.
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The Essence of Metabolic Engineering. Review of Cellular Metabolism. Comprehensive Models for Cellular Reactions. Material Balances and Data Consistency. Regulation of Metabolic Pathways. Examples of Pathway Manipulations: Metabolic Engineering in Practice. Metabolic Pathway Synthesis. Metabolic Flux Analysis. Methods for the Experimental Determination of Metabolic Fluxes by Isotope Labeling. Applications of Metabolic Flux Analysis. Metabolic Control Analysis. Analysis of Structure of Metabolic Networks. Flux Analysis of Metabolic Networks. Thermodynamics of Cellular Processes. Glossary. Subject Index.
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The CO2-ratios method is applied to the analysis of abnormalities of TCA (tricarboxylic acid)-cycle metabolism in AS-30D rat ascites-hepatoma cells. This method utilizes steady-state 14CO2-production rates from pairs of tracers of the same compound to evaluate TCA-cycle flux patterns. Equations are presented that quantitatively convert CO2 ratios into estimates of probability of flux through TCA-cycle-related pathways. Results of this study indicated that the ratio of 14CO2 produced from [1,4-14C]succinate to 14CO2 produced from [2,3-14C]succinate was increased by the addition of glutamine (5 mM) to the medium. An increase in the succinate CO2 ratio is quantitatively related to an increased flux of unlabelled carbon into the TCA-cycle-intermediate pools. Analysis of 14C distribution in [14C]citrate derived from [2,3-14C]succinate indicated that flux from the TCA cycle to the acetyl-CoA-derived carbons of citrate was insignificant. Thus the increased succinate CO2 ratio observed in the presence of glutamine could only result from an increased flux of carbon into the span of the TCA cycle from citrate to oxaloacetate. This result is consistent with increased flux of glutamine to alpha-oxoglutarate in the incubation medium containing exogenous glutamine. Comparison of the pyruvate CO2 ratio, steady-state 14CO2 production from [2-14C]pyruvate versus [3-14C]pyruvate, with the succinate 14CO2 ratio detected flux of pyruvate to C4 TCA-cycle intermediates in the medium containing glutamine. This result was consistent with the observation that [14C]aspartate derived from [2-14C]pyruvate was labelled in C-2 and C-3. 14C analysis also produced evidence for flux of TCA-cycle carbon to alanine. This study demonstrates that the CO2-ratios method is applicable in the analysis of the metabolic properties of AS-30D cells. This methodology has verified that the atypical TCA-cycle metabolism previously described for AS-30D-cell mitochondria occurs in intact AS-30D rat hepatoma cells.
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Metabolic pathway analysis has become significant for evaluating intrinsic network characteristics in biochemical reaction network reconstruction. Current applications of metabolic pathway analysis involve identifying the enzyme for the desired production, identifying pathways of optimal production, determining non-redundant pathways for drug design, and genome comparisons by alignment of pathways for missing genes identification. With the expanded application of bioinformatics, more organized methods have been introduced to examine the overall metabolic networks and network reconstruction based on genomic data. There are several in silico approaches for analysing metabolic pathways, including elementary mode analysis and extreme pathway under pathway topology analysis, flux balance analysis and metabolic flux analysis under analysis of metabolic fluxes, and metabolic control analysis. In this paper, elementary mode analysis, flux balance analysis, metabolic flux analysis and metabolic control analysis are reviewed, together with their application in metabolic network reconstruction and biological production enhancement in biological organisms. Next, a comparison of strengths and weaknesses between each of the metabolic pathway analysis methods is presented in this paper. Keywords: Artificial intelligence, bioinformatics, biological production, in silico, metabolic networks, metabolic pathway analysis.
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