Cytosolic and mitochondrial NADPH fluxes are independently regulated.

Although nicotinamide adenine dinucleotide phosphate (NADPH) is produced and consumed in both the cytosol and mitochondria, the relationship between NADPH fluxes in each compartment has been difficult to assess due to technological limitations. Here we introduce an approach to resolve cytosolic and mitochondrial NADPH fluxes that relies on tracing deuterium from glucose to metabolites of proline biosynthesis localized to either the cytosol or mitochondria. We introduced NADPH challenges in either the cytosol or mitochondria of cells by using isocitrate dehydrogenase mutations, administering chemotherapeutics or with genetically encoded NADPH oxidase. We found that cytosolic challenges influenced NADPH fluxes in the cytosol but not NADPH fluxes in mitochondria, and vice versa. This work highlights the value of using proline labeling as a reporter system to study compartmentalized metabolism and reveals that NADPH homeostasis in the cytosolic and mitochondrial locations of a cell are independently regulated, with no evidence for NADPH shuttle activity.

Elucidating butanol tolerance mediated by a response regulator Sll0039 in Synechocystis sp. PCC 6803 using a metabolomic approach.

Butanol is highly toxic to cyanobacterial cells, which could restrict the future application of this renewable system in producing carbon neutral biofuel butanol. To seek knowledge regarding butanol tolerance in cyanobacteria, a library of response regulator (RR) gene mutants of Synechocystis sp. PCC 6803 was screened. The results showed that the deletion mutant of an orphan RR-encoding genes ll0039 was more sensitive to butanol than the wild type, while complementation of the ∆slr1037 mutant with the sll0039 gene recovered its tolerance to the same level as the wild type, suggesting that the sll0039 gene was involved in the regulation of tolerance against butanol. Further analysis employing an integrated liquid chromatography-mass spectrometry (LC-MS)-based and gas chromatography-mass spectrometry (GC-MS)-based metabolomics was conducted to determine the possible regulatory network of butanol tolerance mediated by Sll0039. LC-MS analysis allowed the identification of several metabolites, such as adenosine 5'-diphosphate (ADP)-glucose, dihydroxyacetone phosphate (DHAP), D-ribose 5-phosphate (R5P), D-glucose 6-phosphate (G6P), D-fructose 6-phosphate (F6P), α-ketoglutaric acid (AKG), uridine 5'-diphospho (UDP)-glucose, and nicotinamide adenine dinucleotide phosphate (NADP), which were differentially regulated between the wild type and the ∆sll0039 mutant grown under butanol stress, while GC-MS analysis identified 1, 2, and 2 metabolic modules associated with the sll0039 gene deletion at 24, 48, and 72 h, respectively, suggesting that they were under control directly or indirectly by Sll0039 RR. In addition, a metabolomic comparison of the metabolic responses to butanol stress was conducted in the ∆sll0039 mutant and the ∆slr1037 mutant previously found to be involved in butanol tolerance (Chen et al. Biotechnol Biofuels 7:89 2014a), and the results showed that the regulatory networks mediated by Sll0039 and Slr1037 could be functionally independent in Synechocystis. The results provided a metabolomic description of the butanol tolerance network regulated by Sll0039.

Metabolomic analysis of the salt-sensitive mutants reveals changes in amino acid and fatty acid composition important to long-term salt stress in Synechocystis sp. PCC 6803.

Early studies in cyanobacteria have found that few genes induced by short-term salt shock (15-60 min) display a stable induction in the long-term (>1 day) salt-acclimated cells; meanwhile, most of the genes responsive to long-term salt stress were different from those by short-term salt shock, suggesting that different regulatory mechanisms may be involved for short-term and long-term salt stress responses. In our previous work using the model cyanobacterium Synechocystis sp. PCC 6803, sll1734 encoding CO2 uptake-related protein (CupA) and three genes encoding hypothetical proteins (i.e., ssr3402, slr1339, and ssr1853) were found induced significantly after a 3-day salt stress, and the corresponding gene knockout mutants were found salt sensitive. To further decipher the mechanisms that these genes may be involved, in this study, we performed a comparative metabolomic analysis of the wild-type Synechocystis and the four salt-sensitive mutants using a gas chromatography-mass spectrometry (GC-MS) approach. A metabolomic data set that consisted of 60 chemically classified metabolites was then subjected to a weighted correlation network analysis (WGCNA) to identify the metabolic modules and hub metabolites specifically related to each of the salt-stressed mutants. The results showed that two, one, zero, and two metabolic modules were identified specifically associated with the knockout events of sll1734, ssr3402, slr1339, and ssr1853, respectively. The mutant-associated modules included metabolites such as lysine and palmitic acid, suggesting that amino acid and fatty acid metabolisms are among the key protection mechanisms against long-term salt stresses in Synechocystis. The metabolomic results were further confirmed by quantitative reverse-transcription PCR analysis, which showed the upregulation of lysine and fatty acid synthesis-related genes. The study provided new insights on metabolic networks involved in long-term salt stress response in Synechocystis.

Metabolomic basis of laboratory evolution of butanol tolerance in photosynthetic Synechocystis sp. PCC 6803.

BACKGROUND: Recent efforts demonstrated the potential application of cyanobacteria as a "microbial cell factory" to produce butanol directly from CO2. However, cyanobacteria have very low tolerance to the toxic butanol, which limits the economic viability of this renewable system. RESULTS: Through a long-term experimental evolution process, we achieved a 150% increase of the butanol tolerance in a model cyanobacterium Synechocystis sp. PCC 6803 after a continuous 94 passages for 395 days in BG11 media amended with gradually increased butanol concentration from 0.2% to 0.5% (v/v). To decipher the molecular mechanism responsible for the tolerance increase, we employed an integrated GC-MS and LC-MS approach to determine metabolomic profiles of the butanol-tolerant Synechocystis strains isolated from several stages of the evolution, and then applied PCA and WGCNA network analyses to identify the key metabolites and metabolic modules related to the increased tolerance. The results showed that unstable metabolites of 3-phosphoglyceric acid (3PG), D-fructose 6-phosphate (F6P), D-glucose 6-phosphate (G6P), NADPH, phosphoenolpyruvic acid (PEP), D-ribose 5-phosphate (R5P), and stable metabolites of glycerol, L-serine and stearic acid were differentially regulated during the evolution process, which could be related to tolerance increase to butanol in Synechocystis. CONCLUSIONS: The study provided the first time-series description of the metabolomic changes related to the gradual increase of butanol tolerance, and revealed a metabolomic basis important for rational tolerance engineering in Synechocystis.

Global metabolomic and network analysis of Escherichia coli responses to exogenous biofuels.

Although synthetic biology progress has made it possible to produce various biofuels in more user-friendly hosts, such as Escherichia coli, the large-scale biofuel production in these non-native systems is still challenging, mostly due to the very low tolerance of these non-native hosts to the biofuel toxicity. To address the issues, in this study we determined the metabolic responses of E. coli induced by three major biofuel products, ethanol, butanol, and isobutanol, using a gas chromatography-mass spectrometry (GC-MS) approach. A metabolomic data set of 65 metabolites identified in all samples was then subjected to principal component analysis (PCA) to compare their effects and a weighted correlation network analysis (WGCNA) to identify the metabolic modules specifically responsive to each of the biofuel stresses, respectively. The PCA analysis showed that cellular responses caused by the biofuel stress were in general similar to aging cells at stationary phase, inconsistent with early studies showing a high degree of dissimilarity between metabolite responses during growth cessation as induced through stationary phases or through various environmental stress applications. The WGCNA analysis allowed identification of 2, 4, and 2 metabolic modules specifically associated with ethanol, butanol, and isobutanol treatments, respectively. The biofuel-associated modules included amino acids and osmoprotectants, such as isoleucine, valine, glycine, glutamate, and trehalose, suggesting amino acid metabolism and osmoregulation are among the key protection mechanisms against biofuel stresses in E. coli. Interestingly, no module was found associated with all three biofuel products, suggesting differential effects of each biofuel on E. coli. The findings enhanced our understanding of E. coli responses to exogenous biofuels and also demonstrated the effectiveness of the metabolomic and network analysis in identifying key targets for biofuel tolerance.

Deletion of Glut1 in early postnatal cartilage reprograms chondrocytes toward enhanced glutamine oxidation.

Glucose metabolism is fundamental for the functions of all tissues, including cartilage. Despite the emerging evidence related to glucose metabolism in the regulation of prenatal cartilage development, little is known about the role of glucose metabolism and its biochemical basis in postnatal cartilage growth and homeostasis. We show here that genetic deletion of the glucose transporter Glut1 in postnatal cartilage impairs cell proliferation and matrix production in growth plate (GPs) but paradoxically increases cartilage remnants in the metaphysis, resulting in shortening of long bones. On the other hand, articular cartilage (AC) with Glut1 deficiency presents diminished cellularity and loss of proteoglycans, which ultimately progress to cartilage fibrosis. Moreover, predisposition to Glut1 deficiency severely exacerbates injury-induced osteoarthritis. Regardless of the disparities in glucose metabolism between GP and AC chondrocytes under normal conditions, both types of chondrocytes demonstrate metabolic plasticity to enhance glutamine utilization and oxidation in the absence of glucose availability. However, uncontrolled glutamine flux causes collagen overmodification, thus affecting extracellular matrix remodeling in both cartilage compartments. These results uncover the pivotal and distinct roles of Glut1-mediated glucose metabolism in two of the postnatal cartilage compartments and link some cartilage abnormalities to altered glucose/glutamine metabolism.

Transport-exclusion pharmacology to localize lactate dehydrogenase activity within cells.

BACKGROUND: Recent in vitro and in vivo work has shown that lactate provides an important source of carbon for metabolic reactions in cancer cell mitochondria. An interesting question is whether lactate is oxidized by lactate dehydrogenase (LDH) in the cytosol and/or in mitochondria. Since metabolic processes in the cytosol and mitochondria are affected by redox balance, the location of LDH may have important regulatory implications in cancer metabolism. METHODS: Within most mammalian cells, metabolic processes are physically separated by membrane-bound compartments. Our general understanding of this spatial organization and its role in cellular function, however, suffers from the limited number of techniques to localize enzymatic activities within a cell. Here, we describe an approach to assess metabolic compartmentalization by monitoring the activity of pharmacological inhibitors that cannot be transported into specific cellular compartments. RESULTS: Oxamate, which chemically resembles pyruvate, is transported into mitochondria and inhibits LDH activity in purified mitochondria. GSK-2837808A, in contrast, is a competitive inhibitor of NAD, which cannot cross the inner mitochondrial membrane. GSK-2837808A did not inhibit the LDH activity of intact mitochondria, but GSK-2837808A did inhibit LDH activity after the inner mitochondrial membrane was disrupted. CONCLUSIONS: Our results are consistent with some mitochondrial LDH that is accessible to oxamate, but inaccessible to GSK-2837808A until mitochondria are homogenized. This strategy of using inhibitors with selective access to subcellular compartments, which we refer to as transport-exclusion pharmacology, is broadly applicable to localize other metabolic reactions within cells.

Crosstalk of two-component signal transduction systems in regulating central carbohydrate and energy metabolism during autotrophic and photomixotrophic growth of Synechocystis sp. PCC 6803.

Unicellular model cyanobacterium Synechocystis sp. PCC 6803 has received considerable attention as a sustainable energy resource because of its photosynthetic machinery. However, two-component signal transduction systems (TCSTSs) in regulating central carbohydrate and energy metabolism of cyanobacteria are still poorly understood due to their diversity and functional complication. In this study, by comparing the growth of knockout mutants of 44 response regulators (RRs) of TCSTSs in Synechocystis, several RR mutants demonstrating differential growth patterns were identified under auto- or photomixotrophic conditions. However, in spite of no growth difference observed for the remaining RR mutants, liquid chromatography-mass spectrometry based metabolomic profile analysis showed that a widespread crosstalk of TCSTSs in regulating central carbohydrate and energy metabolism of Synechocystis was identified, while most of them showed diverse patterns during different trophic types or growth stages. Furthermore, an integrative analysis between evolutionary relationships and metabolomic profiles revealed some pairs of paralogous RRs with highly functional convergence, suggesting the possible conserved functions of Synechocystis TCSTSs during evolution. This study laid an important basis for understanding the function of TCSTSs in photosynthetic cyanobacteria.

[Optimization and application of targeted LC-MS metabolomic analyses in photosynthetic cyanobacteria].

To accurately analyze metabolites in industry-important photosynthetic microbes, LC-MS based metabolomics protocol needs to be optimized specifically for individual species. In this study, an LC-MS based metabolomics method was optimized for cyanobacterium Synechocystis sp. PCC 6803. With the optimized extraction, liquid chromatographic and mass spectral parameters, the method was capable of detecting 24 important metabolites related to central carbohydrate and energy metabolism in Synechocystis sp. PCC 6803. The study laid an important foundation for the metabolomics analysis of cyanobacteria.

Metabolomic analysis reveals functional overlapping of three signal transduction proteins in regulating ethanol tolerance in cyanobacterium Synechocystis sp. PCC 6803.

Low ethanol tolerance is a crucial factor that restricts the feasibility of bioethanol production in renewable cyanobacterial systems. Our previous studies showed that several transcriptional regulators were differentially regulated by exogenous ethanol in Synechocystis. In this study, by constructing knockout mutants of 34 Synechocystis putative transcriptional regulator-encoding genes and analyzing their phenotypes under ethanol stress, we found that three mutants of regulatory gene sll1392, sll1712 and slr1860 grew poorly in the BG11 medium supplemented with ethanol when compared with the wild type in the same medium, suggesting that the genes may be involved in the regulation of ethanol tolerance. To decipher the regulatory mechanism, targeted LC-MS and untargeted GC-MS approaches were employed to determine metabolic profiles of the three mutants and the wild type under both normal and ethanol stress conditions. The results were then subjected to PCA and WGCNA analyses to determine the responsive metabolites and metabolic modules related to ethanol tolerance. Interestingly, the results showed that there was a significant overlapping of the responsive metabolites and metabolic modules between three regulatory proteins, suggesting that a possible crosstalk between various regulatory proteins may be involved in combating against ethanol toxicity in Synechocystis. The study provided new insights into ethanol-tolerance regulation and knowledge important to rational tolerance engineering in Synechocystis.

Identification and metabolomic analysis of chemical modulators for lipid accumulation in Crypthecodinium cohnii.

In the study, fourteen chemical modulators from five groups (i.e., auxin, gibberellin, cytokinin, signal transducer and amine) were evaluated for their effects on lipid accumulation in Crypthecodinium cohnii. The results showed that naphthoxyacetic acid (BNOA), 2-chlorodracylicacid, salicylic acid (SA), abscisic acid (ABA) and ethanolamine (ETA), increased lipid accumulation in C. cohnii by 10.00-18.78%. In addition, the combined uses of the above chemicals showed that two combinations, 1.0mg/L SA & 152.7 mg/L ETA and 4.0mg/L BNOA & 152.7 mg/L ETA, increased lipid accumulation by 22.45% and 20.54%, respectively. Moreover, a targeted metabolomic approach was employed to decipher the possible mechanisms responsible for the increased lipid accumulation, and the results showed that the enhanced metabolism in glycolysis and TCA cycle as well as the decreased metabolism in PPP pathway could be important for the stimulatory roles of BNOA & ETA and SA & ETA on lipid accumulation in C. cohnii.

Identification of a transporter Slr0982 involved in ethanol tolerance in cyanobacterium Synechocystis sp. PCC 6803.

Cyanobacteria have been engineered to produce ethanol through recent synthetic biology efforts. However, one major challenge to the cyanobacterial systems for high-efficiency ethanol production is their low tolerance to the ethanol toxicity. With a major goal to identify novel transporters involved in ethanol tolerance, we constructed gene knockout mutants for 58 transporter-encoding genes of Synechocystis sp. PCC 6803 and screened their tolerance change under ethanol stress. The efforts allowed discovery of a mutant of slr0982 gene encoding an ATP-binding cassette transporter which grew poorly in BG11 medium supplemented with 1.5% (v/v) ethanol when compared with the wild type, and the growth loss could be recovered by complementing slr0982 in the Δslr0982 mutant, suggesting that slr0982 is involved in ethanol tolerance in Synechocystis. To decipher the tolerance mechanism involved, a comparative metabolomic and network-based analysis of the wild type and the ethanol-sensitive Δslr0982 mutant was performed. The analysis allowed the identification of four metabolic modules related to slr0982 deletion in the Δslr0982 mutant, among which metabolites like sucrose and L-pyroglutamic acid which might be involved in ethanol tolerance, were found important for slr0982 deletion in the Δslr0982 mutant. This study reports on the first transporter related to ethanol tolerance in Synechocystis, which could be a useful target for further tolerance engineering. In addition, metabolomic and network analysis provides important findings for better understanding of the tolerance mechanism to ethanol stress in Synechocystis.

Metabolomic analysis reveals mechanism of antioxidant butylated hydroxyanisole on lipid accumulation in Crypthecodinium cohnii.

The heterotrophic dinoflagellate alga Crypthecodinium cohnii is known to accumulate lipids with a high fraction of docosahexaenoic acid (DHA). In this study, we first evaluated two antioxidant compounds, butylated hydroxyanisole (BHA) and propyl gallate (PG), for their effects on lipid accumulation in C. cohnii. The results showed that antioxidant BHA could increase lipid accumulation in C. cohnii by 8.80% at a final concentration of 30 µM, while PG had no obvious effect on lipid accumulation at the tested concentrations. To decipher the molecular mechanism responsible for the increased lipid accumulation by BHA, we employed an integrated GC-MS and LC-MS metabolomic approach to determine the time-series metabolic profiles with or without BHA, and then subjected the metabolomic data to a principal component analysis (PCA) and a weighted gene coexpression network analysis (WGCNA) network analyses to identify the key metabolic modules and metabolites possibly relevant to the increased lipid accumulation. LC-MS analysis showed that several metabolites, including NADPH, could be important for the stimulation role of BHA on lipid accumulation. Meanwhile GC-MS and network analyses allowed identification of eight metabolic modules and nine hub metabolites possibly relevant to the stimulation role of BHA in C. cohnii. The study provided a metabolomics view of the BHA mode of action on lipid accumulation in C. cohnii, and the information could be valuable for a better understanding of antioxidant effects on lipid accumulation in other microalgae as well.

Metabolomic and network analysis of astaxanthin-producing Haematococcus pluvialis under various stress conditions.

Various combinations of acetate (Ac), Fe(2+) and high light (HL) stress conditions were evaluated to maximize astaxanthin accumulation and biomass production in Haematococcus pluvialis, and then GC-MS and LC-MS based metabolomics were applied to determine molecular mechanisms responsible for enhancing astaxanthin accumulation under the stress conditions. With the optimized analytical protocols, the GC-MS and LC-MS analyses allowed identification of 93 stable and 24 unstable intracellular metabolites from H. pluvialis, respectively. In addition, a metabolic network was constructed based on GC-MS metabolomic datasets using a weighted correlation network analysis (WGCNA) approach. The network analysis uncovered 2, 1 and 1 distinguished metabolic modules highly associated with HL, Fe(2+) & HL, and Ac & Fe(2+) & HL conditions, respectively. Finally, LC-MS analysis found that AKG, Glu and R5P may be metabolites associated with the Fe(2+) & HL condition. The study provided the first metabolomic view of cell growth and astaxanthin accumulation in H. pluvialis.