Nitrosative stress: Metabolic pathway involving the flavohemoglobin

Nitric oxide (NO) biology has focused on the tightly regulated enzymatic mechanism that transforms l-arginine into a family of molecules, which serve both signaling and defense functions. However, very little is known of the pathways that metabolize these molecules or turn off the signals. The paradigm is well exemplified in bacteria where S-nitrosothiols (SNO)—compounds identified with antimicrobial activities of NO synthase—elicit responses that mediate bacterial resistance by unknown mechanisms. Here we show that Escherichia coli possess both constitutive and inducible elements for SNO metabolism. Constitutive enzyme(s) cleave SNO to NO whereas bacterial hemoglobin, a widely distributed flavohemoglobin of poorly understood function, is central to the inducible response. Remarkably, the protein has evolved a novel heme-detoxification mechanism for NO. Specifically, the heme serves a dioxygenase function that produces mainly nitrate. These studies thus provide new insights into SNO and NO metabolism and identify enzymes with reactions that were thought to occur only by chemical means. Our results also emphasize that the reactions of SNO and NO with hemoglobins are evolutionary conserved, but have been adapted for cell-specific function.

Peroxisomal beta-oxidation--a metabolic pathway with multiple functions.

Fatty acid degradation in most organisms occurs primarily via the beta-oxidation cycle. In mammals, beta-oxidation occurs in both mitochondria and peroxisomes, whereas plants and most fungi harbor the beta-oxidation cycle only in the peroxisomes. Although several of the enzymes participating in this pathway in both organelles are similar, some distinct physiological roles have been uncovered. Recent advances in the structural elucidation of numerous mammalian and yeast enzymes involved in beta-oxidation have shed light on the basis of the substrate specificity for several of them. Of particular interest is the structural organization and function of the type 1 and 2 multifunctional enzyme (MFE-1 and MFE-2), two enzymes evolutionarily distant yet catalyzing the same overall enzymatic reactions but via opposite stereochemistry. New data on the physiological roles of the various enzymes participating in beta-oxidation have been gathered through the analysis of knockout mutants in plants, yeast and animals, as well as by the use of polyhydroxyalkanoate synthesis from beta-oxidation intermediates as a tool to study carbon flux through the pathway. In plants, both forward and reverse genetics performed on the model plant Arabidopsis thaliana have revealed novel roles for beta-oxidation in the germination process that is independent of the generation of carbohydrates for growth, as well as in embryo and flower development, and the generation of the phytohormone indole-3-acetic acid and the signal molecule jasmonic acid.

A new approach for potential drug target discovery through in silico metabolic pathway analysis using Trypanosoma cruzi genome information

The current drug options for the treatment of chronic Chagas disease have not been sufficient and high hopes have been placed on the use of genomic data from the human parasite Trypanosoma cruzi to identify new drug targets and develop appropriate treatments for both acute and chronic Chagas disease. However, the lack of a complete assembly of the genomic sequence and the presence of many predicted proteins with unknown or unsure functions has hampered our complete view of the parasite's metabolic pathways. Moreover, pinpointing new drug targets has proven to be more complex than anticipated and has revealed large holes in our understanding of metabolic pathways and their integrated regulation, not only for this parasite, but for many other similar pathogens. Using an in silicocomparative study on pathway annotation and searching for analogous and specific enzymes, we have been able to predict a considerable number of additional enzymatic functions in T. cruzi. Here we focus on the energetic pathways, such as glycolysis, the pentose phosphate shunt, the Krebs cycle and lipid metabolism. We point out many enzymes that are analogous to those of the human host, which could be potential new therapeutic targets.

Distribution of events of positive selection and population differentiation in a metabolic pathway: the case of asparagine N-glycosylation

Background: Asparagine N-Glycosylation is one of the most important forms of protein post-translational modification in eukaryotes. This metabolic pathway can be subdivided into two parts: an upstream sub-pathway required for achieving proper folding for most of the proteins synthesized in the secretory pathway, and a downstream sub-pathway required to give variability to trans-membrane proteins, and involved in adaptation to the environment andinnate immunity. Here we analyze the nucleotide variability of the genes of this pathway in human populations, identifying which genes show greater population differentiation and which genes show signatures of recent positive selection. We also compare how these signals are distributed between the upstream and the downstream parts of the pathway, with the aim of exploring how forces of population differentiation and positive selection vary among genes involved in the same metabolic pathway but subject to different functional constraints. Results:Our results show that genes in the downstream part of the pathway are more likely to show a signature of population differentiation, while events of positive selection are equally distributed among the two parts of the pathway. Moreover, events of positive selection arefrequent on genes that are known to be at bifurcation points, and that are identified as beingin key position by a network-level analysis such as MGAT3 and GCS1.Conclusions: These findings indicate that the upstream part of the Asparagine N-Glycosylation pathway has lower diversity among populations, while the downstream part is freer to tolerate diversity among populations. Moreover, the distribution of signatures of population differentiation and positive selection can change between parts of a pathway, especially between parts that are exposed to different functional constraints. Our results support the hypothesis that genes involved in constitutive processes can be expected to show lower population differentiation, while genes involved in traits related to the environment should show higher variability. Taken together, this work broadens our knowledge on how events of population differentiation and of positive selection are distributed among different parts of a metabolic pathway.

Distribution of events of positive selection and population differentiation in a metabolic pathway: the case of asparagine N-glycosylation

Asparagine N-Glycosylation is one of the most important forms of protein post-translational modification in eukaryotes. This metabolic pathway can be subdivided into two parts: an upstream sub-pathway required for achieving proper folding for most of the proteins synthesized in the secretory pathway, and a downstream sub-pathway required to give variability to trans-membrane proteins, and involved in adaptation to the environment and innate immunity. Here we analyze the nucleotide variability of the genes of this pathway in human populations, identifying which genes show greater population differentiation and which genes show signatures of recent positive selection. We also compare how these signals are distributed between the upstream and the downstream parts of the pathway, with the aim of exploring how forces of population differentiation and positive selection vary among genes involved in the same metabolic pathway but subject to different functional constraints. Our results show that genes in the downstream part of the pathway are more likely to show a signature of population differentiation, while events of positive selection are equally distributed among the two parts of the pathway. Moreover, events of positive selection are frequent on genes that are known to be at bifurcation points, and that are identified as being in key position by a network-level analysis such as MGAT3 and GCS1. These findings indicate that the upstream part of the Asparagine N-Glycosylation pathway has lower diversity among populations, while the downstream part is freer to tolerate diversity among populations. Moreover, the distribution of signatures of population differentiation and positive selection can change between parts of a pathway, especially between parts that are exposed to different functional constraints. Our results support the hypothesis that genes involved in constitutive processes can be expected to show lower population differentiation, while genes involved in traits related to the environment should show higher variability. Taken together, this work broadens our knowledge on how events of population differentiation and of positive selection are distributed among different parts of a metabolic pathway.

The role of protein convertases in bigdynorphin and dynorphin A metabolic pathway

Les dynorphines sont des neuropeptides importants avec un rôle central dans la nociception et l’atténuation de la douleur. De nombreux mécanismes régulent les concentrations de dynorphine endogènes, y compris la protéolyse. Les Proprotéines convertases (PC) sont largement exprimées dans le système nerveux central et clivent spécifiquement le C-terminale de couple acides aminés basiques, ou un résidu basique unique. Le contrôle protéolytique des concentrations endogènes de Big Dynorphine (BDyn) et dynorphine A (Dyn A) a un effet important sur la perception de la douleur et le rôle de PC reste à être déterminée. L'objectif de cette étude était de décrypter le rôle de PC1 et PC2 dans le contrôle protéolytique de BDyn et Dyn A avec l'aide de fractions cellulaires de la moelle épinière de type sauvage (WT), PC1 -/+ et PC2 -/+ de souris et par la spectrométrie de masse. Nos résultats démontrent clairement que PC1 et PC2 sont impliquées dans la protéolyse de BDyn et Dyn A avec un rôle plus significatif pour PC1. Le traitement en C-terminal de BDyn génère des fragments peptidiques spécifiques incluant dynorphine 1-19, dynorphine 1-13, dynorphine 1-11 et dynorphine 1-7 et Dyn A génère les fragments dynorphine 1-13, dynorphine 1-11 et dynorphine 1-7. Ils sont tous des fragments de peptides associés à PC1 ou PC2. En plus, la protéolyse de BDyn conduit à la formation de Dyn A et Leu-Enk, deux peptides opioïdes importants. La vitesse de formation des deux est réduite de manière significative dans les fractions cellulaires de la moelle épinière de souris mutantes. En conséquence, l'inhibition même partielle de PC1 ou PC2 peut altérer le système opioïde endogène.

Putative metabolic pathway of mannitol and sorbitol and in sugarcane

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A metabolic pathway assembled by enzyme selection may support herbivory of leaf-cutter ants on plant starch

Mutualistic associations shape the evolution in different organism groups. The association between the leaf-cutter ant Atta sexdens and the basidiomycete fungus Leucoagaricus gongylophorus has enabled them to degrade starch from plant material generating glucose, which is a major food source for both mutualists. Starch degradation is promoted by enzymes contained in the fecal fluid that ants deposit on the fungus culture in cut leaves inside the nests. To understand the dynamics of starch degradation in ant nests, we purified and characterized starch degrading enzymes from the ant fecal fluid and from laboratory cultures of L. gongylophorus and found that the ants intestine positively selects fungal α-amylase and a maltase likely produced by the ants, as a negative selection is imposed to fungal maltase and ant α-amylases. Selected enzymes are more resistant to catabolic repression by glucose and proposed to structure a metabolic pathway in which the fungal α-amylase initiates starch catalysis to generate byproducts which are sequentially degraded by the maltase to produce glucose. The pathway is responsible for effective degradation of starch and proposed to represent a major evolutionary innovation enabling efficient starch assimilation from plant material by leaf-cutters. © 2013 Elsevier Ltd.

Oxidation of lysergic acid diethylamide (LSD) by peroxidases: a new metabolic pathway

Lysergic acid diethylamide (LSD) is a potent hallucinogen that is primarily metabolized to 2-oxo-3-hydroxy-LSD (O-H-LSD) and N-desmethyl-LSD (nor-LSD) by cytochrome P450 complex liver enzymes. Due to its extensive metabolism, there still is an interest in the identification of new metabolites and new routes of its metabolism in humans. In the present study, we investigated whether LSD could be a substrate for horseradish peroxidase or myeloperoxidase (MPO). Using liquid chromatography coupled to UV detection and electrospray ionization mass spectrometry (LC-UV-ESI-MS), we found that both peroxidases were capable of metabolizing LSD to the same compounds that have been observed in vivo (i.e., O-H-LSD and nor-LSD). In addition, we found another major metabolite, N,N-diethyl-7-formamido-4-methyl-6-oxo-2,3,4,4a,5,6-hexahydrobenzo[f]quinoline-2-carboxamide (FOMBK), which is an opened indolic ring compound. Hydrolysis of FOMBK led to the deformylated compound 7-amino-N,N-diethyl-4-methyl-6-oxo-2,3,4,4a,5,6-hexahydrobenzo[f]quinoline-2-carboxamide. The reactions of LSD with the peroxidases were chemiluminescent and sensitive to inhibition by reactive oxygen scavengers, which indicated that the classic peroxidase cycle is involved in this new alternative metabolic pathway. Considering that MPO is abundant in immune cells and also present in the central nervous system, the degradation pathway described in this study suggests a possible route of LSD metabolism that may occur concurrently with the in vivo reaction catalyzed by the cytochrome P450 system.

Metabolic pathway and distribution of superparamagnetic iron oxide nanoparticles: in vivo study

Experimental tissue fusion benefits from the selective heating of superparamagnetic iron oxide nanoparticles (SPIONs) under high frequency irradiation. However, the metabolic pathways of SPIONs for tissue fusion remain unknown. Hence, the goal of this in vivo study was to analyze the distribution of SPIONs in different organs by means of magnetic resonance imaging (MRI) and histological analysis after a SPION-containing patch implantation.

Association of folate metabolic pathway genes with human spina bifida meningomyelocele

Neural tube defects including spina bifida meningomyelocele (SBMM) are common malformations of the brain and spinal cord, and include all abnormalities resulting from lack of closure of the developing neural tube during embryological development.^ The specific aims of this study were to determine if single nucleotide polymorphic variants (SNPs) in the folate/homocysteine metabolic pathway genes confer a risk for NTD susceptibility within this SBMM population.^ In completion of the first specific aim, two novel SNPs were identified in the FOLR1 gene in Chromosome 11of patients including one in non-coding exon 1 with a C → T transition at nucleotide position 71578317 and another in non-coding exon 3 with a T → G transversion at nucleotide position 71579123. It will be important to determine if these variants are present in the respective parents of these individuals. If they are in fact de novo variants, then these SNPs may be more likely to contribute to the birth defect.^ The second project aim was to analyze genotypes associated with SBMM risk by transmission disequilibrium tests (TDT) and association was detected on several SNPs across the folate metabolic pathway genes in this population. SNPs with significant RC-TDT values were found within the DHFR gene (rs1650723), the MTRR gene (rs327592), the FOLR2 gene (rs13908), four tightly linked variants in the FOLR3 gene (rs7925545, rs7926875, rs7926987, rs7926360) and a variant in the SLC19A1 gene (rs1888530). The product of each of these genes performs a vital function in the folate metabolic pathway. It is conceivable, therefore, that if the individual SNP or SNPs can be proven to perturb the function in some way that they may be involved in the disruption of folate metabolism and in the resulting birth defect. Validating the results of this study in other independent populations will further strengthen the evidence that dysfunction of folate enzymes and receptors may confer SBMM risk in humans. ^

Metabolic pathway engineering in cotton: Biosynthesis of polyhydroxybutyrate in fiber cells

Alcaligenes eutrophus genes encoding the enzymes, β-ketothiolase (phaA), acetoacetyl-CoA reductase (phaB), and polyhydroxyalkanoate synthase (phaC) catalyze the production of aliphatic polyester poly-d-(−)-3-hydroxybutyrate (PHB) from acetyl-CoA. PHB is a thermoplastic polymer that may modify fiber properties when synthesized in cotton. Endogenous β-ketothiolase activity is present in cotton fibers. Hence cotton was transformed with engineered phaB and phaC genes by particle bombardment, and transgenic plants were selected based on marker gene, β-glucuronidase (GUS), expression. Fibers of 10 transgenic plants expressed phaB gene, while eight plants expressed both phaB and phaC genes. Electron microscopy examination of fibers expressing both genes indicated the presence of electron-lucent granules in the cytoplasm. High pressure liquid chromatography, gas chromatography, and mass spectrometry evidence suggested that the new polymer produced in transgenic fibers is PHB. Sixty-six percent of the PHB in fibers is in the molecular mass range of 0.6 × 106 to 1.8 × 106 Da. The presence of PHB granules in transgenic fibers resulted in measurable changes of thermal properties. The fibers exhibited better insulating characteristics. The rate of heat uptake and cooling was slower in transgenic fibers, resulting in higher heat capacity. These data show that metabolic pathway engineering in cotton may enhance fiber properties by incorporating new traits from other genetic sources. This is an important step toward producing new generation fibers for the textile industry.

The role of protein convertases in bigdynorphin and dynorphin A metabolic pathway

Les dynorphines sont des neuropeptides importants avec un rôle central dans la nociception et l’atténuation de la douleur. De nombreux mécanismes régulent les concentrations de dynorphine endogènes, y compris la protéolyse. Les Proprotéines convertases (PC) sont largement exprimées dans le système nerveux central et clivent spécifiquement le C-terminale de couple acides aminés basiques, ou un résidu basique unique. Le contrôle protéolytique des concentrations endogènes de Big Dynorphine (BDyn) et dynorphine A (Dyn A) a un effet important sur la perception de la douleur et le rôle de PC reste à être déterminée. L'objectif de cette étude était de décrypter le rôle de PC1 et PC2 dans le contrôle protéolytique de BDyn et Dyn A avec l'aide de fractions cellulaires de la moelle épinière de type sauvage (WT), PC1 -/+ et PC2 -/+ de souris et par la spectrométrie de masse. Nos résultats démontrent clairement que PC1 et PC2 sont impliquées dans la protéolyse de BDyn et Dyn A avec un rôle plus significatif pour PC1. Le traitement en C-terminal de BDyn génère des fragments peptidiques spécifiques incluant dynorphine 1-19, dynorphine 1-13, dynorphine 1-11 et dynorphine 1-7 et Dyn A génère les fragments dynorphine 1-13, dynorphine 1-11 et dynorphine 1-7. Ils sont tous des fragments de peptides associés à PC1 ou PC2. En plus, la protéolyse de BDyn conduit à la formation de Dyn A et Leu-Enk, deux peptides opioïdes importants. La vitesse de formation des deux est réduite de manière significative dans les fractions cellulaires de la moelle épinière de souris mutantes. En conséquence, l'inhibition même partielle de PC1 ou PC2 peut altérer le système opioïde endogène.

Filling in gaps of Drosophila melanogaster urate degradation metabolic pathway using metabolomics approaches: towards the core metabolome of the fruit fly

The primary goal of systems biology is to integrate complex omics data, and data obtained from traditional experimental studies in order to provide a holistic understanding of organismal function. One way of achieving this aim is to generate genome-scale metabolic models (GEMs), which contain information on all metabolites, enzyme-coding genes, and biochemical reactions in a biological system. Drosophila melanogaster GEM has not been reconstructed to date. Constraint-free genome-wide metabolic model of the fruit fly has been reconstructed in our lab, identifying gaps, where no enzyme was identified and metabolites were either only produced or consume. The main focus of the work presented in this thesis was to develop a pipeline for efficient gap filling using metabolomics approaches combined with standard reverse genetics methods, using 5-hydroxyisourate hydrolase (5-HIUH) as an example. 5-HIUH plays a role in urate degradation pathway. Inability to degrade urate can lead to inborn errors of metabolism (IEMs) in humans, including hyperuricemia. Based on sequence analysis Drosophila CG30016 gene was hypothesised to encode 5- HIUH. CG30016 knockout flies were examined to identify Malpighian tubules phenotype, and shortened lifespan might reflect kidney disorders in hyperuricemia in humans. Moreover, LC-MS analysis of mutant tubules revealed that CG30016 is involved in purine metabolism, and specifically urate degradation pathway. However, the exact role of the gene has not been identified, and the complete method for gap filling has not been developed. Nevertheless, thanks to the work presented here, we are a step closer towards the development of a gap-filling pipeline in Drosophila melanogaster GEM. Importantly, the areas that require further optimisation were identified and are the focus of future research. Moreover, LC-MS analysis confirmed that tubules rather than the whole fly were more suitable for metabolomics analysis of purine metabolism. Previously, Dow/Davies lab has generated the most complete tissue-specific transcriptomic atlas for Drosophila – FlyAtlas.org, which provides data on gene expression across multiple tissues of adult fly and larva. FlyAtlas revealed that transcripts of many genes are enriched in specific Drosophila tissues, and that it is possible to deduce the functions of individual tissues within the fly. Based on FlyAtlas data, it has become clear that the fly (like other metazoan species) must be considered as a set of tissues, each 2 with its own distinct transcriptional and functional profile. Moreover, it revealed that for about 30% of the genome, reverse genetic methods (i.e. mutation in an unknown gene followed by observation of phenotype) are only useful if specific tissues are investigated. Based on the FlyAtlas findings, we aimed to build a primary tissue-specific metabolome of the fruit fly, in order to establish whether different Drosophila tissues have different metabolomes and if they correspond to tissue-specific transcriptome of the fruit fly (FlyAtlas.org). Different fly tissues have been dissected and their metabolome elucidated using LC-MS. The results confirmed that tissue metabolomes differ significantly from each other and from the whole fly, and that some of these differences can be correlated to the tissue function. The results illustrate the need to study individual tissues as well as the whole organism. It is clear that some metabolites that play an important role in a given tissue might not be detected in the whole fly sample because their abundance is much lower in comparison to other metabolites present in all tissues, which prevent the detection of the tissue-specific compound.

kpath: An example of metabolic pathway data integration using Linked Data

The main databases related to metabolic pathways, such as Kegg, Brenda, Reactome and Biocyc, provide partially interlinked data on metabolic pathways. This limitation only allows independent searches to retrieve cross-database information on metabolism and restricts the use of more complex searches to discover new knowledge or relationships.