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Measurement of Metabolite Variations and Analysis of Related Gene Expression in Chinese Liquorice (Glycyrrhiza Uralensis) Plants
www.nature.com/scientificreports OPEN Measurement of metabolite variations and analysis of related gene expression in Chinese liquorice Received: 15 March 2017 Accepted: 28 March 2018 (Glycyrrhiza uralensis) plants under Published: xx xx xxxx UV-B irradiation Xiao Zhang1,2, Xiaoli Ding3,4, Yaxi Ji1,2, Shouchuang Wang5, Yingying Chen1,2, Jie Luo5, Yingbai Shen1,2 & Li Peng3,4 Plants respond to UV-B irradiation (280–315 nm wavelength) via elaborate metabolic regulatory mechanisms that help them adapt to this stress. To investigate the metabolic response of the medicinal herb Chinese liquorice (Glycyrrhiza uralensis) to UV-B irradiation, we performed liquid chromatography tandem mass spectrometry (LC-MS/MS)-based metabolomic analysis, combined with analysis of diferentially expressed genes in the leaves of plants exposed to UV-B irradiation at various time points. Fifty-four metabolites, primarily amino acids and favonoids, exhibited changes in levels after the UV-B treatment. The amino acid metabolism was altered by UV-B irradiation: the Asp family pathway was activated and closely correlated to Glu. Some amino acids appeared to be converted into antioxidants such as γ-aminobutyric acid and glutathione. Hierarchical clustering analysis revealed that various favonoids with characteristic groups were induced by UV-B. In particular, the levels of some ortho- dihydroxylated B-ring favonoids, which might function as scavengers of reactive oxygen species, increased in response to UV-B treatment. In general, unigenes encoding key enzymes involved in amino acid metabolism and favonoid biosynthesis were upregulated by UV-B irradiation. These fndings lay the foundation for further analysis of the mechanism underlying the response of G. -
Part One Amino Acids As Building Blocks
Part One Amino Acids as Building Blocks Amino Acids, Peptides and Proteins in Organic Chemistry. Vol.3 – Building Blocks, Catalysis and Coupling Chemistry. Edited by Andrew B. Hughes Copyright Ó 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim ISBN: 978-3-527-32102-5 j3 1 Amino Acid Biosynthesis Emily J. Parker and Andrew J. Pratt 1.1 Introduction The ribosomal synthesis of proteins utilizes a family of 20 a-amino acids that are universally coded by the translation machinery; in addition, two further a-amino acids, selenocysteine and pyrrolysine, are now believed to be incorporated into proteins via ribosomal synthesis in some organisms. More than 300 other amino acid residues have been identified in proteins, but most are of restricted distribution and produced via post-translational modification of the ubiquitous protein amino acids [1]. The ribosomally encoded a-amino acids described here ultimately derive from a-keto acids by a process corresponding to reductive amination. The most important biosynthetic distinction relates to whether appropriate carbon skeletons are pre-existing in basic metabolism or whether they have to be synthesized de novo and this division underpins the structure of this chapter. There are a small number of a-keto acids ubiquitously found in core metabolism, notably pyruvate (and a related 3-phosphoglycerate derivative from glycolysis), together with two components of the tricarboxylic acid cycle (TCA), oxaloacetate and a-ketoglutarate (a-KG). These building blocks ultimately provide the carbon skeletons for unbranched a-amino acids of three, four, and five carbons, respectively. a-Amino acids with shorter (glycine) or longer (lysine and pyrrolysine) straight chains are made by alternative pathways depending on the available raw materials. -
Yeast Genome Gazetteer P35-65
gazetteer Metabolism 35 tRNA modification mitochondrial transport amino-acid metabolism other tRNA-transcription activities vesicular transport (Golgi network, etc.) nitrogen and sulphur metabolism mRNA synthesis peroxisomal transport nucleotide metabolism mRNA processing (splicing) vacuolar transport phosphate metabolism mRNA processing (5’-end, 3’-end processing extracellular transport carbohydrate metabolism and mRNA degradation) cellular import lipid, fatty-acid and sterol metabolism other mRNA-transcription activities other intracellular-transport activities biosynthesis of vitamins, cofactors and RNA transport prosthetic groups other transcription activities Cellular organization and biogenesis 54 ionic homeostasis organization and biogenesis of cell wall and Protein synthesis 48 plasma membrane Energy 40 ribosomal proteins organization and biogenesis of glycolysis translation (initiation,elongation and cytoskeleton gluconeogenesis termination) organization and biogenesis of endoplasmic pentose-phosphate pathway translational control reticulum and Golgi tricarboxylic-acid pathway tRNA synthetases organization and biogenesis of chromosome respiration other protein-synthesis activities structure fermentation mitochondrial organization and biogenesis metabolism of energy reserves (glycogen Protein destination 49 peroxisomal organization and biogenesis and trehalose) protein folding and stabilization endosomal organization and biogenesis other energy-generation activities protein targeting, sorting and translocation vacuolar and lysosomal -
Table S1. List of Genes Up- Or Down-Regulated in H99 When Bound by 18B7
Table S1. List of genes up- or down-regulated in H99 when bound by 18B7. Up-regulated Genes Classification CNF03470: Formate dehydrogenase Metabolism CNC03960: Phosphate transporter, putative Metabolism CND00530: Putative urea transporter Secretion CNA02250: Ammonium transporter MEP1 Secretion CNC06440: Inositol 1-phosphate synthase Metabolism CND03490: Chitin deacetylase-like mannoprotein MP98 Cell wall CNA04560: Hypothetical protein Hypothetical CNF02180: Acetyl-CoA carboxylase, putative Metabolism CNJ00690: Uracil permease, putative Secretion CNF02510: Alcohol dehydrogenase, putative Metabolism CNE04360: Fatty acid synthase, alpha subunit-related Metabolism CNM00180: Cyclohydrolase, putative Metabolism CNL03740: AF540951 catalase isozyme P Stress CNE04370: Fatty acid synthase, beta subunit Metabolism CNA01790: Expressed protein Hypothetical CNA05700: Expressed protein Hypothetical CND03840: Vacuole fusion, non-autophagic-related protein, putative Cell wall CNM00980: Hypothetical protein Hypothetical CNI02420: Uricase (Urate oxidase), putative Metabolism CNJ01090: Xylitol dehydrogenase-related Cell wall CNC03430: Alpha-1,6-mannosyltransferase, putative Cell wall CNF04120: Expressed protein Hypothetical CNB01810: Short chain dehydrogenase, putative Metabolism CNJ01200: Hypothetical protein Hypothetical CNA01160: LSDR putative Metabolism CNH03430: Hypothetical protein Hypothetical CNM02410: Putative proteine disulfate isomerase Housekeeping CNG04200: Alpha-amylase, putative Cell wall CNC00920: NADP-dependent glutamate dehydrogenase Metabolism -
Supplemental Methods
Supplemental Methods: Sample Collection Duplicate surface samples were collected from the Amazon River plume aboard the R/V Knorr in June 2010 (4 52.71’N, 51 21.59’W) during a period of high river discharge. The collection site (Station 10, 4° 52.71’N, 51° 21.59’W; S = 21.0; T = 29.6°C), located ~ 500 Km to the north of the Amazon River mouth, was characterized by the presence of coastal diatoms in the top 8 m of the water column. Sampling was conducted between 0700 and 0900 local time by gently impeller pumping (modified Rule 1800 submersible sump pump) surface water through 10 m of tygon tubing (3 cm) to the ship's deck where it then flowed through a 156 µm mesh into 20 L carboys. In the lab, cells were partitioned into two size fractions by sequential filtration (using a Masterflex peristaltic pump) of the pre-filtered seawater through a 2.0 µm pore-size, 142 mm diameter polycarbonate (PCTE) membrane filter (Sterlitech Corporation, Kent, CWA) and a 0.22 µm pore-size, 142 mm diameter Supor membrane filter (Pall, Port Washington, NY). Metagenomic and non-selective metatranscriptomic analyses were conducted on both pore-size filters; poly(A)-selected (eukaryote-dominated) metatranscriptomic analyses were conducted only on the larger pore-size filter (2.0 µm pore-size). All filters were immediately submerged in RNAlater (Applied Biosystems, Austin, TX) in sterile 50 mL conical tubes, incubated at room temperature overnight and then stored at -80oC until extraction. Filtration and stabilization of each sample was completed within 30 min of water collection. -
Figure S1. Heat Map of R (Pearson's Correlation Coefficient)
Figure S1. Heat map of r (Pearson’s correlation coefficient) value among different samples including replicates. The color represented the r value. Figure S2. Distributions of accumulation profiles of lipids, nucleotides, and vitamins detected by widely-targeted UPLC-MC during four fruit developmental stages. The colors indicate the proportional content of each identified metabolites as determined by the average peak response area with R scale normalization. PS1, 2, 3, and 4 represents fruit samples collected at 27, 84, 125, 165 Days After Anthesis (DAA), respectively. Three independent replicates were performed for each stages. Figure S3. Differential metabolites of PS2 vs PS1 group in flavonoid biosynthesis pathway. Figure S4. Differential metabolites of PS2 vs PS1 group in phenylpropanoid biosynthesis pathway. Figure S5. Differential metabolites of PS3 vs PS2 group in flavonoid biosynthesis pathway. Figure S6. Differential metabolites of PS3 vs PS2 group in phenylpropanoid biosynthesis pathway. Figure S7. Differential metabolites of PS4 vs PS3 group in biosynthesis of phenylpropanoids pathway. Figure S8. Differential metabolites of PS2 vs PS1 group in flavonoid biosynthesis pathway and phenylpropanoid biosynthesis pathway combined with RNA-seq results. Table S1. A total of 462 detected metabolites in this study and their peak response areas along the developmental stages of apple fruit. mix0 mix0 mix0 Index Compounds Class PS1a PS1b PS1c PS2a PS2b PS2c PS3a PS3b PS3c PS4a PS4b PS4c ID 1 2 3 Alcohols and 5.25E 7.57E 5.27E 4.24E 5.20E -
COMPILATION of AMINO ACIDS, DRUGS, METABOLITES and OTHER COMPOUNDS in MASSTRAK AMINO ACID ANALYSIS SOLUTION Paula Hong, Kendon S
COMPILATION OF AMINO ACIDS, DRUGS, METABOLITES AND OTHER COMPOUNDS IN MASSTRAK AMINO ACID ANALYSIS SOLUTION Paula Hong, Kendon S. Graham, Alexandre Paccou, T homas E. Wheat and Diane M. Diehl INTRODUCTION LC conditions Physiological amino acid analysis is commonly performed to LC System: Waters ACQUITY UPLC® System with TUV monitor and study a wide variety of metabolic processes. A wide Column: MassTrak AAA Column 2.1 x 150 mm, 1.7 µm variety of drugs, foods, and metabolic intermediates that may Column Temp: 43 ˚C be present in biological fluids can appear as peaks in amino Flow Rate: 400 µL/min. acid analysis, therefore, it is important to be able to identify Mobile Phase A: MassTrak AAA Eluent A Concentrate, unknown compounds.1,2,3 The reproducibility and robustness of diluted 1:10 the MassTrak Amino Acid Analysis Solution make this method well Mobile Phase B: MassTrak AAA Eluent B suited to such a study as well.4 Weak Needle Wash: 5/95 Acetonitrile/Water Strong Needle Wash: 95/5 Acetonitrile/Water Gradient: MassTrak AAA Standard Gradient (as provided in kit) Detection: UV @ 260 nm Injection Volume: 1 µL EXPERIMENTAL Injection Mode: Partial Loop with Needle Overfill (PLNO) Compound sample preparation A library of compounds was assembled. Each compound was derivatized individually and spiked into the MassTrak™ AAA Solution Standard prior to chromatographic analysis. The elution RESULTS AND DISCUSSION position of each tested compound could be related to known amino acids. A wide variety of antibiotics, pharmaceutical compounds and metabolite by-products are found in biological fluids. The reten- 1. -
Impacts of Dietary Exposure to Pesticides on Faecal Microbiome
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.16.448511; this version posted June 17, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Impacts of dietary exposure to pesticides on faecal microbiome 2 metabolism in adult twins 3 4 Robin Mesnage1, Ruth C E Bowyer2, Souleiman El Balkhi3, Franck Saint-Marcoux3, Arnaud 5 Gardere3, Quinten Raymond Ducarmon4, Anoecim Robecca Geelen4, Romy Daniëlle Zwittink4, 6 Dimitris Tsoukalas5, Evangelia Sarandi5, Efstathia I. Paramera6, Timothy Spector2, Claire J Steves2, 7 Michael N Antoniou1* 8 9 1 Gene Expression and Therapy Group, King's College London, Faculty of Life Sciences & Medicine, 10 Department of Medical and Molecular Genetics, Guy's Hospital, London, SE1 9RT, UK. 11 12 2 Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK 13 14 3 Service de pharmacologie, toxicologie et pharmacovigilance, UF Toxicologie analytique environnementale 15 et santé au travail, CHU de Limoges, Limoges, France 16 17 4 Center for Microbiome Analyses and Therapeutics, Leiden University Medical Center, Leiden, The 18 Netherlands 19 20 5 Metabolomic Medicine Clinic, Health Clinics for Autoimmune and Chronic Diseases, 10674 Athens, 21 Greece 22 23 6 NEOLAB S.A., Medical laboratory, 125 Michalakopoulu Str., 11527 Athens, Greece 24 25 26 *Correspondence: [email protected] 27 bioRxiv preprint doi: https://doi.org/10.1101/2021.06.16.448511; this version posted June 17, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
Paraburkholderia Phymatum Homocitrate Synthase Nifv Plays a Key Role for Nitrogenase Activity During Symbiosis with Papilionoids and in Free-Living Growth Conditions
cells Article Paraburkholderia phymatum Homocitrate Synthase NifV Plays a Key Role for Nitrogenase Activity during Symbiosis with Papilionoids and in Free-Living Growth Conditions Paula Bellés-Sancho 1 , Martina Lardi 1, Yilei Liu 1, Sebastian Hug 1, Marta Adriana Pinto-Carbó 1, Nicola Zamboni 2 and Gabriella Pessi 1,* 1 Department of Plant and Microbial Biology, University of Zürich, CH-8057 Zürich, Switzerland; [email protected] (P.B.-S.); [email protected] (M.L.); [email protected] (Y.L.); [email protected] (S.H.); [email protected] (M.A.P.-C.) 2 ETH Zürich, Institute of Molecular Systems Biology, CH-8093 Zürich, Switzerland; [email protected] * Correspondence: [email protected]; Tel.: +41-44-63-52904 Abstract: Homocitrate is an essential component of the iron-molybdenum cofactor of nitrogenase, the bacterial enzyme that catalyzes the reduction of dinitrogen (N2) to ammonia. In nitrogen-fixing and nodulating alpha-rhizobia, homocitrate is usually provided to bacteroids in root nodules by their plant host. In contrast, non-nodulating free-living diazotrophs encode the homocitrate synthase (NifV) and reduce N2 in nitrogen-limiting free-living conditions. Paraburkholderia phymatum STM815 is a beta-rhizobial strain, which can enter symbiosis with a broad range of legumes, including Citation: Bellés-Sancho, P.; Lardi, M.; papilionoids and mimosoids. In contrast to most alpha-rhizobia, which lack nifV, P. phymatum Liu, Y.; Hug, S.; Pinto-Carbó, M.A.; harbors a copy of nifV on its symbiotic plasmid. We show here that P. phymatum nifV is essential for Zamboni, N.; Pessi, G. -
Intestinal Phosphate Transport in Familial ~~~O~Hos~Haternicrickets
FAMILIAL HYPOPHOSPHATEMIC RICKETS 69 1 pine oxidoreductase. The deficiencies were confirmed in skin Glutaric aciduria: A "new" disorder of amino acid metabolism. Biochem. fibroblasts from two siblings with the disease and a third patient Med., 12: 12 (1975). 15. Hutzler, J., and Dancis. J.: Saccharopine cleavage by a dehydrogenase of human from an unrelated family. liver. Biochim. Biophys. Acta. 206: 205 (1970). REFERENCES AND NOTES 16. Hutzler. J., and Dancis. J.: Preparative synthesis of saccharopine. Biochim. Biophys. Acta, 222: 225 (1970). I. Ampola. M. G., Ampola. M., Mian, M., Shaw, W., Levy, H., Letsou, A,, and 17. Hutzler, J., and Dancis, J.: Lysine-ketoglutarate reductase in human tissues. Doyle. M.: In preparation. Biochim. Biophys. Acta, 377: 42 (1975). 2. Bowden, J. A., and Connelly, J. L.: Branched-chain a-keto acid metabolism. I. 18. Krooth, R. S.: Constitutive mutations and hereditary enzyme deficiencies in Isolation, purification and partial characterization of bovine liver a- mammalian cells. In: M. Harris and B. Thompson: Regulation of Gene ketoisocaproic:a-keto-@-methylvaleric acid dehydrogenase. J. Biol. Chem., Expression in Eukaryotic Cells, p. 115 (Fogarty International Center, Be- 243: 1 198 (1968). thesda, Md., 1973). 3. Cox. R. P.. Krauss, M. R., Balis, M. E., and Dancis, J.: Communication between 19. Lormans, S., and Lowenthal. A,: Amino adipic aciduria in an oligophrenic child. normal and enzyme deficient cells in tissue culture. Exp. Cell Res.. 74: 251 Clin. Chim. Acta. 57: 97 (1974). (1972). 20. Lowry. 0. H., Rosehrough, N. J.. Farr. A. L., and Randall, R. J.: Protein 4. Cox. R. P., and MacLeod, C. -
Amino Acid Degradation
BI/CH 422/622 OUTLINE: OUTLINE: Protein Degradation (Catabolism) Digestion Amino-Acid Degradation Inside of cells Protein turnover Dealing with the carbon Ubiquitin Fates of the 29 Activation-E1 Seven Families Conjugation-E2 nitrogen atoms in 20 1. ADENQ Ligation-E3 AA: Proteosome 2. RPH 9 ammonia oxidase Amino-Acid Degradation 18 transamination Ammonia 2 urea one-carbon metabolism free transamination-mechanism to know THF Urea Cycle – dealing with the nitrogen SAM 5 Steps Carbamoyl-phosphate synthetase 3. GSC Ornithine transcarbamylase PLP uses Arginino-succinate synthetase Arginino-succinase 4. MT – one carbon metabolism Arginase 5. FY – oxidase vs oxygenase Energetics Urea Bi-cycle 6. KW – Urea Cycle – dealing with the nitrogen 7. BCAA – VIL Feeding the Urea Cycle Glucose-Alanine Cycle Convergence with Fatty acid-odd chain Free Ammonia Overview Glutamine Glutamate dehydrogenase Overall energetics Amino Acid A. Concepts 1. ConvergentDegradation 2. ketogenic/glucogenic 3. Reactions seen before The SEVEN (7) Families B. Transaminase (A,D,E) / Deaminase (Q,N) Family C. Related to biosynthesis (R,P,H; C,G,S; M,T) 1.Glu Family a. Introduce oxidases/oxygenases b. Introduce one-carbon metabolism (1C) 2.Pyruvate Family a. PLP reactions 3. a-Ketobutyric Family (M,T) a. 1-C metabolism D. Dedicated 1. Aromatic Family (F,Y) a. oxidases/oxygenases 2. a-Ketoadipic Family (K,W) 3. Branched-chain Family (V,I,L) E. Convergence with Fatty Acids: propionyl-CoA 29 N 1 Amino Acid Degradation • Intermediates of the central metabolic pathway • Some amino acids result in more than one intermediate. • Ketogenic amino acids can be converted to ketone bodies. -
Omega-3 Fatty Acids Correlate with Gut Microbiome Diversity And
Omega-3 fatty acids correlate with gut microbiome diversity and production of N- carbamylglutamate in middle aged and elderly women Cristina Mennia, Jonas Zierera, Tess Pallistera, Matthew A Jacksona, Tao Longb, Robert P Mohneyc, Claire J Stevesa, Tim D Spectora, Ana M Valdesa,d,e a Department of Twin Research and Genetic Epidemiology, Kings College London, London, UK. b Sanford Burnham Prebys, USA cMetabolon Inc., Raleigh-Durham, NC 27709, USA. dSchool of Medicine , Nottingham City Hospital, Hucknall Road, Nottingham, UK. e NIHR Nottingham Biomedical Research Centre, Nottingham, UK. Corresponding author: Dr Ana M Valdes School of Medicine Clinical Sciences Building, Nottingham City Hospital, Hucknall Road, Nottingham, NG5 1PB, UK Phone number: +44 (0)115 823 1954; Fax number:+44(0) 115 823 1757 email: [email protected] Supplementary Table 1. List of faecal metabolites significantly associated to DHA circulating levels (FDR<0.05)adjusting for age, BMI and family relatedness. Super Pathway Sub pathway Metabolite BETA SE P Q Lipid Polyunsaturated Fatty Acid (n3 and n6) eicosapentaenoate (EPA; 20:5n3) 0.15 0.04 4.35x10-5 0.01 Xenobiotics Carbamylated aminoacid N-carbamylglutamate 0.15 0.04 1.21x10-4 0.02 Peptide Dipeptide Derivative anserine 0.13 0.04 5.39x10-4 0.04 Supplementary Table 2. Associations between five measures of microbiome diversity and circulating levels of PUFA adjusting for age, BMI fibre intake and family relatedness SHANNON DIVERSITY CHAO1 OBSERVED Phylogenetic Diversity SIMPSON SPECIES Beta SE P Beta SE P Beta SE P Beta SE P Beta SE P DHA 0.13 0.04 0.002 0.12 0.04 0.003 0.14 0.04 0.001 0.12 0.04 0.01 0.09 0.04 0.02 FAW3 0.12 0.04 0.005 0.13 0.04 0.003 0.13 0.04 0.002 0.12 0.05 0.01 0.08 0.04 0.05 LA 0.10 0.05 0.02 0.10 0.05 0.03 0.10 0.05 0.03 0.10 0.05 0.03 0.09 0.04 0.04 (18:2) FAW6 0.09 0.04 0.02 0.10 0.04 0.01 0.10 0.04 0.01 0.10 0.04 0.02 0.08 0.04 0.05 DHA=22:6 docosahexaenoic acid;, FAW3= Omega-3 fatty acids; 18:2, LA= linoleic acid;; FAW6=omega-6 fatty acids Supplementary Table 3.