Mycobacterium Tuberculosis to Eradicate Persistent Infection
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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. -
Generated by SRI International Pathway Tools Version 25.0, Authors S
An online version of this diagram is available at BioCyc.org. Biosynthetic pathways are positioned in the left of the cytoplasm, degradative pathways on the right, and reactions not assigned to any pathway are in the far right of the cytoplasm. Transporters and membrane proteins are shown on the membrane. Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. Gcf_000238675-HmpCyc: Bacillus smithii 7_3_47FAA Cellular Overview Connections between pathways are omitted for legibility. -
Comparative Genomics and Functional Annotation of Bacterial Transporters
Physics of Life Reviews 5 (2008) 22–49 www.elsevier.com/locate/plrev Review Comparative genomics and functional annotation of bacterial transporters Mikhail S. Gelfand a,b,∗, Dmitry A. Rodionov a,c a Institute for Information Transmission Problems, Russian Academy of Sciences, Bolshoi Karetny pereulok 19, Moscow 127994, Russia b Department of Bioengineering and Bioinformatics, Moscow State University, Russia c Burnham Institute for Medical Research, La Jolla, CA 92037, USA Received 6 October 2007; received in revised form 8 October 2007; accepted 10 October 2007 Available online 24 October 2007 Communicated by M. Frank-Kamenetskii Abstract Transport proteins are difficult to study experimentally, and because of that their functional characterization trails that of en- zymes. The comparative genomic analysis is a powerful approach to functional annotation of proteins, which makes it possible to utilize the genomic sequence data from thousands of organisms. The use of computational techniques allows one to identify candidate transporters, predict their structure and localization in the membrane, and perform detailed functional annotation, which includes substrate specificity and cellular role. We overview the main techniques of analysis of transporters’ structure and function. We consider the most popular algorithms to identify transmembrane segments in protein sequences and to predict topology of multispanning proteins. We describe the main approaches of the comparative genomics, and how they may be applied to the analysis of transporters, and provide examples showing how combinations of these techniques is used for functional annotation of new transporter specificities in known families, characterization of new families, and prediction of novel transport mechanisms. © 2007 Elsevier B.V. -
Characterization of the Human O-Phosphoethanolamine Phospholyase, an Unconventional Pyridoxal Phosphate- Dependent -Lyase
Department of Pharmacy Laboratories of Biochemistry and Molecular Biology PhD Program in Biochemistry and Molecular Biology XXVII cycle Characterization of the human O-phosphoethanolamine phospholyase, an unconventional pyridoxal phosphate- dependent -lyase Coordinator: Prof. Andrea Mozzarelli Tutor: Prof. Alessio Peracchi PhD student: DAVIDE SCHIROLI 2012-2014 1 INDEX: Chapter 1: A subfamily of PLP-dependent enzymes specialized in handling terminal amines Abstract……………………………………………...pg.10 Introduction………………………………………….pg.11 -Nomenclature issues: subgroup-II aminotransferases, class-III ami- notransferases or -aminotransferases?..........................................pg.13 Chemical peculiarities of the reactions catalyzed by AT-II enzymes………………………………………pg.18 - Equilibria in -amine transaminase reactions……………………...pg.18 - Specificity and dual-specificity issues…………………………….…pg.22 Structural peculiarities of AT-II enzymes………...pg.23 - AT-II vs. AT-I enzymes. Comparing the overall structures………..pg.23 - AT-II vs. AT-I. Comparing the PLP-binding sites…………………...pg.25 - The substrate binding site: a gateway system in -KG-specific AT-II transaminases……………………………………………………………pg.31 - The substrate binding site: P and O pockets in pyruvate-specific AT-II transaminases………………………………………………………...….pg.35 - An overview of substrate specificity in AT-II transaminases………pg.42 2 AT-II enzymes that are not aminotransferases……….. …………………………………………………….....pg.43 Inferences on the evolution of AT-II enzymes………… ………………………………………………………..pg.47 Conclusions……………..…………………………..pg.53 -
Supplementary Materials
Supplementary Materials Figure S1. Differentially abundant spots between the mid-log phase cells grown on xylan or xylose. Red and blue circles denote spots with increased and decreased abundance respectively in the xylan growth condition. The identities of the circled spots are summarized in Table 3. Figure S2. Differentially abundant spots between the stationary phase cells grown on xylan or xylose. Red and blue circles denote spots with increased and decreased abundance respectively in the xylan growth condition. The identities of the circled spots are summarized in Table 4. S2 Table S1. Summary of the non-polysaccharide degrading proteins identified in the B. proteoclasticus cytosol by 2DE/MALDI-TOF. Protein Locus Location Score pI kDa Pep. Cov. Amino Acid Biosynthesis Acetylornithine aminotransferase, ArgD Bpr_I1809 C 1.7 × 10−4 5.1 43.9 11 34% Aspartate/tyrosine/aromatic aminotransferase Bpr_I2631 C 3.0 × 10−14 4.7 43.8 15 46% Aspartate-semialdehyde dehydrogenase, Asd Bpr_I1664 C 7.6 × 10−18 5.5 40.1 17 50% Branched-chain amino acid aminotransferase, IlvE Bpr_I1650 C 2.4 × 10−12 5.2 39.2 13 32% Cysteine synthase, CysK Bpr_I1089 C 1.9 × 10−13 5.0 32.3 18 72% Diaminopimelate dehydrogenase Bpr_I0298 C 9.6 × 10−16 5.6 35.8 16 49% Dihydrodipicolinate reductase, DapB Bpr_I2453 C 2.7 × 10−6 4.9 27.0 9 46% Glu/Leu/Phe/Val dehydrogenase Bpr_I2129 C 1.2 × 10−30 5.4 48.6 31 64% Imidazole glycerol phosphate synthase Bpr_I1240 C 8.0 × 10−3 4.7 22.5 8 44% glutamine amidotransferase subunit Ketol-acid reductoisomerase, IlvC Bpr_I1657 C 3.8 × 10−16 -
The Genome and Genetics of a High Oxidative Stress Tolerant Serratia Sp
Vicente et al. BMC Genomics (2016) 17:301 DOI 10.1186/s12864-016-2626-1 RESEARCH ARTICLE Open Access The genome and genetics of a high oxidative stress tolerant Serratia sp. LCN16 isolated from the plant parasitic nematode Bursaphelenchus xylophilus Claudia S. L. Vicente1,2, Francisco X. Nascimento1, Yoriko Ikuyo2, Peter J. A. Cock3, Manuel Mota1,4 and Koichi Hasegawa2* Abstract Background: Pine wilt disease (PWD) is a worldwide threat to pine forests, and is caused by the pine wood nematode (PWN) Bursaphelenchus xylophilus. Bacteria are known to be associated with PWN and may have an important role in PWD. Serratia sp. LCN16 is a PWN-associated bacterium, highly resistant to oxidative stress in vitro, and which beneficially contributes to the PWN survival under these conditions. Oxidative stress is generated as a part of the basal defense mechanism used by plants to combat pathogenic invasion. Here, we studied the biology of Serratia sp. LCN16 through genome analyses, and further investigated, using reverse genetics, the role of two genes directly involved in the neutralization of H2O2,namelytheH2O2 transcriptional factor oxyR;andtheH2O2-targeting enzyme, catalase katA. Results: Serratia sp. LCN16 is phylogenetically most closely related to the phytosphere group of Serratia, which includes S. proteamaculans, S. grimessi and S. liquefaciens.Likewise,Serratia sp. LCN16 shares many features with endophytes (plant-associated bacteria), such as genes coding for plant polymer degrading enzymes, iron uptake/ transport, siderophore and phytohormone synthesis, aromatic compound degradation and detoxification enzymes. OxyR and KatA are directly involved in the high tolerance to H2O2 of Serratia sp. LCN16. Under oxidative stress, Serratia sp. -
B Number Gene Name Mrna Intensity Mrna
sample) total list predicted B number Gene name assignment mRNA present mRNA intensity Gene description Protein detected - Membrane protein membrane sample detected (total list) Proteins detected - Functional category # of tryptic peptides # of tryptic peptides # of tryptic peptides detected (membrane b0002 thrA 13624 P 39 P 18 P(m) 2 aspartokinase I, homoserine dehydrogenase I Metabolism of small molecules b0003 thrB 6781 P 9 P 3 0 homoserine kinase Metabolism of small molecules b0004 thrC 15039 P 18 P 10 0 threonine synthase Metabolism of small molecules b0008 talB 20561 P 20 P 13 0 transaldolase B Metabolism of small molecules chaperone Hsp70; DNA biosynthesis; autoregulated heat shock b0014 dnaK 13283 P 32 P 23 0 proteins Cell processes b0015 dnaJ 4492 P 13 P 4 P(m) 1 chaperone with DnaK; heat shock protein Cell processes b0029 lytB 1331 P 16 P 2 0 control of stringent response; involved in penicillin tolerance Global functions b0032 carA 9312 P 14 P 8 0 carbamoyl-phosphate synthetase, glutamine (small) subunit Metabolism of small molecules b0033 carB 7656 P 48 P 17 0 carbamoyl-phosphate synthase large subunit Metabolism of small molecules b0048 folA 1588 P 7 P 1 0 dihydrofolate reductase type I; trimethoprim resistance Metabolism of small molecules peptidyl-prolyl cis-trans isomerase (PPIase), involved in maturation of b0053 surA 3825 P 19 P 4 P(m) 1 GenProt outer membrane proteins (1st module) Cell processes b0054 imp 2737 P 42 P 5 P(m) 5 GenProt organic solvent tolerance Cell processes b0071 leuD 4770 P 10 P 9 0 isopropylmalate -
Helicobacter Pylori: Comparative Genomics and Structure-Function Analysis of the Flagellum Biogenesis Protein HP0958
UCC Library and UCC researchers have made this item openly available. Please let us know how this has helped you. Thanks! Title Helicobacter pylori: comparative genomics and structure-function analysis of the flagellum biogenesis protein HP0958 Author(s) de Lacy Clancy, Ceara A. Publication date 2014 Original citation de Lacy Clancy, C. A. 2014. Helicobacter pylori: comparative genomics and structure-function analysis of the flagellum biogenesis protein HP0958. PhD Thesis, University College Cork. Type of publication Doctoral thesis Rights © 2014, Ceara A. De Lacy Clancy. http://creativecommons.org/licenses/by-nc-nd/3.0/ Item downloaded http://hdl.handle.net/10468/1684 from Downloaded on 2021-10-10T14:33:51Z Helicobacter pylori: Comparative genomics and structure-function analysis of the flagellum biogenesis protein HP0958 A Thesis Presented in Partial Fulfilment of the Requirements for the Degree of Doctor of Philosophy by Ceara de Lacy Clancy, B.Sc. School of Microbiology National University of Ireland, Cork Supervisor: Prof. Paul W. O’Toole Head of School of Microbiology: Prof. Gerald Fitzgerald February 2014 Table of Contents Table of Contents Abstract ........................................................................................................................ i Chapter 1 Literature Review....................................................................................................... 1 1 Helicobacter pylori .................................................................................................. 2 1.1 Discovery -
Supplementary Information
Supplementary information (a) (b) Figure S1. Resistant (a) and sensitive (b) gene scores plotted against subsystems involved in cell regulation. The small circles represent the individual hits and the large circles represent the mean of each subsystem. Each individual score signifies the mean of 12 trials – three biological and four technical. The p-value was calculated as a two-tailed t-test and significance was determined using the Benjamini-Hochberg procedure; false discovery rate was selected to be 0.1. Plots constructed using Pathway Tools, Omics Dashboard. Figure S2. Connectivity map displaying the predicted functional associations between the silver-resistant gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S3. Connectivity map displaying the predicted functional associations between the silver-sensitive gene hits; disconnected gene hits not shown. The thicknesses of the lines indicate the degree of confidence prediction for the given interaction, based on fusion, co-occurrence, experimental and co-expression data. Figure produced using STRING (version 10.5) and a medium confidence score (approximate probability) of 0.4. Figure S4. Metabolic overview of the pathways in Escherichia coli. The pathways involved in silver-resistance are coloured according to respective normalized score. Each individual score represents the mean of 12 trials – three biological and four technical. Amino acid – upward pointing triangle, carbohydrate – square, proteins – diamond, purines – vertical ellipse, cofactor – downward pointing triangle, tRNA – tee, and other – circle. -
Supplementary Informations SI2. Supplementary Table 1
Supplementary Informations SI2. Supplementary Table 1. M9, soil, and rhizosphere media composition. LB in Compound Name Exchange Reaction LB in soil LBin M9 rhizosphere H2O EX_cpd00001_e0 -15 -15 -10 O2 EX_cpd00007_e0 -15 -15 -10 Phosphate EX_cpd00009_e0 -15 -15 -10 CO2 EX_cpd00011_e0 -15 -15 0 Ammonia EX_cpd00013_e0 -7.5 -7.5 -10 L-glutamate EX_cpd00023_e0 0 -0.0283302 0 D-glucose EX_cpd00027_e0 -0.61972444 -0.04098397 0 Mn2 EX_cpd00030_e0 -15 -15 -10 Glycine EX_cpd00033_e0 -0.0068175 -0.00693094 0 Zn2 EX_cpd00034_e0 -15 -15 -10 L-alanine EX_cpd00035_e0 -0.02780553 -0.00823049 0 Succinate EX_cpd00036_e0 -0.0056245 -0.12240603 0 L-lysine EX_cpd00039_e0 0 -10 0 L-aspartate EX_cpd00041_e0 0 -0.03205557 0 Sulfate EX_cpd00048_e0 -15 -15 -10 L-arginine EX_cpd00051_e0 -0.0068175 -0.00948672 0 L-serine EX_cpd00054_e0 0 -0.01004986 0 Cu2+ EX_cpd00058_e0 -15 -15 -10 Ca2+ EX_cpd00063_e0 -15 -100 -10 L-ornithine EX_cpd00064_e0 -0.0068175 -0.00831712 0 H+ EX_cpd00067_e0 -15 -15 -10 L-tyrosine EX_cpd00069_e0 -0.0068175 -0.00233919 0 Sucrose EX_cpd00076_e0 0 -0.02049199 0 L-cysteine EX_cpd00084_e0 -0.0068175 0 0 Cl- EX_cpd00099_e0 -15 -15 -10 Glycerol EX_cpd00100_e0 0 0 -10 Biotin EX_cpd00104_e0 -15 -15 0 D-ribose EX_cpd00105_e0 -0.01862144 0 0 L-leucine EX_cpd00107_e0 -0.03596182 -0.00303228 0 D-galactose EX_cpd00108_e0 -0.25290619 -0.18317325 0 L-histidine EX_cpd00119_e0 -0.0068175 -0.00506825 0 L-proline EX_cpd00129_e0 -0.01102953 0 0 L-malate EX_cpd00130_e0 -0.03649016 -0.79413596 0 D-mannose EX_cpd00138_e0 -0.2540567 -0.05436649 0 Co2 EX_cpd00149_e0 -
Transport Capabilities of Eleven Gram-Positive Bacteria: Comparative Genomic Analyses
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Biochimica et Biophysica Acta 1768 (2007) 1342–1366 www.elsevier.com/locate/bbamem Review Transport capabilities of eleven gram-positive bacteria: Comparative genomic analyses Graciela L. Lorca 1,2, Ravi D. Barabote 1, Vladimir Zlotopolski, Can Tran, Brit Winnen, Rikki N. Hvorup, Aaron J. Stonestrom, Elizabeth Nguyen, ⁎ Li-Wen Huang, David S. Kim, Milton H. Saier Jr. Division of Biological Sciences, University of California at San Diego, La Jolla, CA 92093-0116, USA Received 5 October 2006; received in revised form 29 December 2006; accepted 7 February 2007 Available online 17 February 2007 Abstract The genomes of eleven Gram-positive bacteria that are important for human health and the food industry, nine low G+C lactic acid bacteria and two high G+C Gram-positive organisms, were analyzed for their complement of genes encoding transport proteins. Thirteen to 18% of their genes encode transport proteins, larger percentages than observed for most other bacteria. All of these bacteria possess channel proteins, some of which probably function to relieve osmotic stress. Amino acid uptake systems predominate over sugar and peptide cation symporters, and of the sugar uptake porters, those specific for oligosaccharides and glycosides often outnumber those for free sugars. About 10% of the total transport proteins are constituents of putative multidrug efflux pumps with Major Facilitator Superfamily (MFS)-type pumps (55%) being more prevalent than ATP-binding cassette (ABC)-type pumps (33%), which, however, usually greatly outnumber all other types. An exception to this generalization is Streptococcus thermophilus with 54% of its drug efflux pumps belonging to the ABC superfamily and 23% belonging each to the Multidrug/Oligosaccharide/Polysaccharide (MOP) superfamily and the MFS. -
Expanding Metabolism for Total Biosynthesis of the Nonnatural Amino Acid L-Homoalanine
Expanding metabolism for total biosynthesis of the nonnatural amino acid L-homoalanine Kechun Zhanga, Han Lib, Kwang Myung Choa, and James C. Liaoa,b,c,1 aDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095; bMolecular Biology Institute, University of California, Los Angeles, CA 90095; and cInstitute for Genomics and Proteomics, University of California, Los Angeles, CA 90095 Edited by James A. Wells, University of California, San Francisco, CA, and approved January 25, 2010 (received for review November 8, 2009) The dramatic increase in healthcare cost has become a significant L-glutamate, L-lysine, and L-threonine are produced more than burden to the world. Many patients are denied the accessibility of 2 million tons annually (5). Unlike natural amino acids, total bio- medication because of the high price of drugs. Total biosynthesis of synthesis of nonnatural amino acids from simple sugars encoun- chiral drug intermediates is an environmentally friendly approach ters significant technical challenges: First, artificial metabolic that helps provide more affordable pharmaceuticals. Here we have pathways have to be designed to expand the metabolic capability expanded the natural metabolic capability to biosynthesize a non- of cells (8); second, optimizing the designed unique metabolic natural amino acid L-homoalanine, which is a chiral precursor of pathways requires extensive protein evolution (9); third, meta- levetiracetam, brivaracetam, and ethambutol. We developed a se- bolic flux should be driven to the production of the target com- lection strategy and altered the substrate specificity of ammonium- pounds (10). We have successfully addressed these problems and assimilating enzyme glutamate dehydrogenase.