DOCSLIB.ORG

PDF-Document

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
PDF-Document Supplemental Tables Supplemental Table S1. Significantly different taxa between the HC and CD group Taxa Levela Taxonomic assignment Wb Phylum p__Actinobacteria 9 p__Firmicutes 9 p__Proteobacteria 9 p__TM7 9 p__Verrucomicrobia 9 Class p__Actinobacteria;c__Actinobacteria 13 p__Actinobacteria;c__Coriobacteriia 14 p__Firmicutes;c__Bacilli 14 p__Firmicutes;c__Clostridia 14 p__Firmicutes;c__Erysipelotrichi 13 p__Fusobacteria;c__Fusobacteriia 13 p__Proteobacteria;c__Alphaproteobacteria 13 p__Proteobacteria;c__Betaproteobacteria 13 p__Proteobacteria;c__Deltaproteobacteria 13 p__Proteobacteria;c__Gammaproteobacteria 13 p__Verrucomicrobia;c__Verrucomicrobiae 14 orders p_Actinobacteria;c_Actinobacteria;o_Bifidobacteriales 16 p_Actinobacteria;c_Coriobacteriia;o_Coriobacteriales 16 p_Firmicutes;c_Bacilli;o_Lactobacillales 16 p_Firmicutes;c_Bacilli;o_Turicibacterales 16 p_Firmicutes;c_Clostridia;o_Clostridiales 14 p_Fusobacteria;c_Fusobacteriia;o_Fusobacteriales 16 p_Proteobacteria;c_Betaproteobacteria;o_Burkholderiales 16 p_Proteobacteria;c_Deltaproteobacteria;o_Desulfovibrionales 16 p_Proteobacteria;c_Gammaproteobacteria;o_Enterobacteriales 16 families p_Actinobacteria;c_Actinobacteria;o_Bifidobacteriales;f_Bifidobacteriaceae 34 p_Actinobacteria;c_Coriobacteriia;o_Coriobacteriales;f_Coriobacteriaceae 33 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_Porphyromonadaceae 31 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_Prevotellaceae 34 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_Rikenellaceae 34 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_[Barnesiellaceae] 33 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_[Odoribacteraceae] 33 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_[Paraprevotellaceae] 35 p_Firmicutes;c_Bacilli;o_Lactobacillales;f_Carnobacteriaceae 33 p_Firmicutes;c_Bacilli;o_Lactobacillales;f_Enterococcaceae 35 p_Firmicutes;c_Bacilli;o_Lactobacillales;f_Lactobacillaceae 33 p_Firmicutes;c_Bacilli;o_Lactobacillales;f_Streptococcaceae 35 p_Firmicutes;c_Bacilli;o_Turicibacterales;f_Turicibacteraceae 35 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Lachnospiraceae 33 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Peptostreptococcaceae 34 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Ruminococcaceae 32 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Veillonellaceae 33 p_Firmicutes;c_Clostridia;o_Clostridiales;f_[Mogibacteriaceae] 33 p_Firmicutes;c_Erysipelotrichi;o_Erysipelotrichales;f_Erysipelotrichaceae 33 p_Fusobacteria;c_Fusobacteriia;o_Fusobacteriales;f_Fusobacteriaceae 33 p_Proteobacteria;c_Betaproteobacteria;o_Burkholderiales;f_Alcaligenaceae 32 p_Proteobacteria;c_Gammaproteobacteria;o_Enterobacteriales;f_Enterobacteriaceae 33 genera p_Actinobacteria;c_Actinobacteria;o_Bifidobacteriales;f_Bifidobacteriaceae;g_Bifidobacterium 66 p_Actinobacteria;c_Coriobacteriia;o_Coriobacteriales;f_Coriobacteriaceae;g_Collinsella 67 p_Actinobacteria;c_Coriobacteriia;o_Coriobacteriales;f_Coriobacteriaceae;g_Eggerthella 66 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_Porphyromonadaceae;g_Parabacteroides 67 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_Prevotellaceae;g_Prevotella 70 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_[Odoribacteraceae];g_Butyricimonas 64 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_[Odoribacteraceae];g_Odoribacter 67 p_Firmicutes;c_Bacilli;o_Lactobacillales;f_Carnobacteriaceae;g_Granulicatella 64 p_Firmicutes;c_Bacilli;o_Lactobacillales;f_Enterococcaceae;g_Enterococcus 68 p_Firmicutes;c_Bacilli;o_Lactobacillales;f_Lactobacillaceae;g_Lactobacillus 64 p_Firmicutes;c_Bacilli;o_Lactobacillales;f_Streptococcaceae;g_Streptococcus 70 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Lachnospiraceae;g_Anaerostipes 64 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Lachnospiraceae;g_Blautia 66 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Lachnospiraceae;g_[Ruminococcus] 65 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Ruminococcaceae;g_Faecalibacterium 70 p_Proteobacteria;c_Betaproteobacteria;o_Burkholderiales;f_Alcaligenaceae;g_Sutterella 64 p_Proteobacteria;c_Gammaproteobacteria;o_Enterobacteriales;f_Enterobacteriaceae;g_Escherichia 69 p_Proteobacteria;c_Gammaproteobacteria;o_Enterobacteriales;f_Enterobacteriaceae;g_Klebsiella 63 Species p_Actinobacteria;c_Actinobacteria;o_Bifidobacteriales;f_Bifidobacteriaceae;g_Bifidobacterium;s_longum 96 p_Actinobacteria;c_Coriobacteriia;o_Coriobacteriales;f_Coriobacteriaceae;g_Collinsella;s_aerofaciens 95 p_Actinobacteria;c_Coriobacteriia;o_Coriobacteriales;f_Coriobacteriaceae;g_Eggerthella;s_lenta 90 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_Bacteroidaceae;g_Bacteroides;s_plebeius 97 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_Bacteroidaceae;g_Bacteroides;s_uniformis 93 p_Bacteroidetes;c_Bacteroidia;o_Bacteroidales;f_Prevotellaceae;g_Prevotella;s_copri 97 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Lachnospiraceae;g_Blautia;s_producta 90 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Lachnospiraceae;g_[Ruminococcus];s_gnavus 89 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Ruminococcaceae;g_Faecalibacterium;s_prausnitzii 96 p_Firmicutes;c_Clostridia;o_Clostridiales;f_Veillonellaceae;g_Veillonella;s_dispar 89 p_Firmicutes;c_Erysipelotrichi;o_Erysipelotrichales;f_Erysipelotrichaceae;g_[Eubacterium];s_dolichum 90 p_Proteobacteria;c_Gammaproteobacteria;o_Enterobacteriales;f_Enterobacteriaceae;g_Escherichia;s_coli 95 c_, class; f_, family; g_, genus; o_, order; p_, phylum; s_, species. a # of phylum: 18, # of class: 39, # of order: 71, # of family: 129, # of genus: 314, # of species: 459. b W=X for taxon k, then H0k is rejected X times. The W statistic for the significantly different taxa relative to more than 90 percent other taxa in each taxa level is shown. Supplemental Table S2. Comparisons of the alpha diversity between different groups in pairwise Kruskal-Wallis test Alpha diversity index Group Group H P-value q-value Observed ASVsa HC (n=623) CD-G (n=133) 137.333639 1.02E-31 3.16E-31 CD-I (n=148) 137.270029 1.05E-31 3.16E-31 CD-P (n=86) 103.174324 3.07E-24 6.14E-24 CD-G (n=133) CD-I (n=148) 1.020459 0.31241016 0.37489219 CD-P (n=86) 0.27932619 0.5971432 0.5971432 CD-I (n=148) CD-P (n=86) 1.9326595 0.16446778 0.24670166 Faith's PDa HC (n=623) CD-G (n=133) 160.611848 8.32E-37 4.98E-36 CD-I (n=148) 159.240069 1.66E-36 4.98E-36 CD-P (n=86) 113.113096 2.04E-26 4.08E-26 CD-G (n=133) CD-I (n=148) 0.2724429 0.60169775 0.60169775 CD-P (n=86) 0.70318714 0.40171484 0.4820578 CD-I (n=148) CD-P (n=86) 1.72121775 0.18953637 0.28430455 Shannona HC (n=623) CD-G (n=133) 143.677726 4.18E-33 8.36E-33 CD-I (n=148) 172.661523 1.94E-39 1.16E-38 CD-P (n=86) 151.074029 1.01E-34 3.03E-34 CD-G (n=133) CD-I (n=148) 0.0011436 0.97302295 0.97302295 CD-P (n=86) 12.9673067 0.00031698 0.00038037 CD-I (n=148) CD-P (n=86) 14.0443225 0.00017855 0.00026783 CD-G, good prognosis group; CD-I, intermediate prognosis group; CD-P, poor prognosis group; HC, health control. aThe p-values among all groups were estimated using Kruskal-Wallis test. The H=286.4, 328.2., and 357.5; p-value=8.5×10-62, 7.6×10-71, and 3.4×10-77 for the observed ASVs, Faith’s PD, and Shannon, respectively. *q < 0.05; **q < 0.01 Supplemental Table S3. Beta diversity between groups in pairwise PERMANOVA Beta-diversity index Group Group Sample size Permutations pseudo-F P-value q-value a Unweighted UniFrac distance HC CD-G 756 999 70.7970734 0.001 0.0015 CD-I 771 999 83.1744431 0.001 0.0015 CD-P 709 999 65.9150438 0.001 0.0015 CD-G CD-I 281 999 0.85949129 0.601 0.601 CD-P 219 999 3.85104199 0.001 0.0015 CD-I CD-P 234 999 2.94081876 0.002 0.0024 Weighted UniFrac distancea HC CD-G 756 999 89.0770595 0.001 0.0015 CD-I 771 999 98.6220236 0.001 0.0015 CD-P 709 999 78.2382813 0.001 0.0015 CD-G CD-I 281 999 1.00765094 0.393 0.393 CD-P 219 999 5.81652015 0.001 0.0015 CD-I CD-P 234 999 3.57010942 0.004 0.0048 CD-G, good prognosis group; CD-I, intermediate prognosis group; CD-P, poor prognosis group; HC, health control. aThe p-values among all groups were estimated using permutational multivariate analysis of variance (PERMANOVA). The psuedo-F=54.9 and 65.9; P-value=0.001 and 0.001 for the unweighted UniFrac and weighted UniFrac, respectively. Supplemental Table S4. Predicted MetaCyc pathway abundances significantly associated (based on Welch's t-test [STAMP]) with severity of Crohn’s disease (good vs. poor) Metacyc Metacyc_abbreviation Good: Good: Poor: Poor: std. Difference 95.0% 95.0% Ratio_ P-values P-values mean rel. std. dev. mean rel. dev. (%) between lower CI upper CI proportions (corrected) freq. (%) (%) freq. (%) means 4-hydroxyphenylacetate 3- 0.022 0.046 0.066 0.086 -0.045 -0.064 -0.025 3.072 1.99E-05 7.72.E-03 degradation HYDROXYPHENYLACET ATE-DEGRADATION-PWY 3-phenylpropanoate and 3-(3- HCAMHPDEG-PWY 0.020 0.043 0.059 0.084 -0.040 -0.059 -0.020 2.997 8.91E-05 3.46.E-02 hydroxyphenyl) propanoate degradation to 2-oxopent-4-enoate cinnamate and 3-hydroxycinnamate PWY-6690 0.020 0.043 0.059 0.084 -0.040 -0.059 -0.020 2.997 8.91E-05 3.46.E-02 degradation to 2-oxopent-4-enoate superpathway of phenylethylamine PWY-6071 0.024 0.050 0.072 0.098 -0.047 -0.070 -0.025 2.950 5.84E-05 2.26.E-02 degradation phenylacetate degradation I PWY0-321 0.026 0.052 0.074 0.100 -0.049 -0.072 -0.026 2.906 5.67E-05 2.20.E-02 (aerobic) D-glucarate degradation I GLUCARDEG-PWY 0.034 0.055 0.097 0.114 -0.063 -0.089 -0.037 2.889 4.28E-06 1.66.E-03 ubiquinol-10 biosynthesis PWY-5857 0.032 0.059 0.091 0.098 -0.059 -0.082 -0.036 2.866 1.44E-06 5.57.E-04 (prokaryotic) ubiquinol-7 biosynthesis PWY-5855 0.032 0.059 0.091 0.098 -0.059 -0.082 -0.036 2.866 1.44E-06 5.57.E-04 (prokaryotic)
Load more

Recommended publications
  • Phospholipid:Diacylglycerol Acyltransferase: an Enzyme That Catalyzes the Acyl-Coa-Independent Formation of Triacylglycerol in Yeast and Plants
    Phospholipid:diacylglycerol acyltransferase: An enzyme that catalyzes the acyl-CoA-independent formation of triacylglycerol in yeast and plants Anders Dahlqvist*†‡, Ulf Ståhl†§, Marit Lenman*, Antoni Banas*, Michael Lee*, Line Sandager¶, Hans Ronne§, and Sten Stymne¶ *Scandinavian Biotechnology Research (ScanBi) AB, Herman Ehles Va¨g 2 S-26831 Svaloˆv, Sweden; ¶Department of Plant Breeding Research, Swedish University of Agricultural Sciences, Herman Ehles va¨g 2–4, S-268 31 Svalo¨v, Sweden; and §Department of Plant Biology, Uppsala Genetic Center, Swedish University of Agricultural Sciences, Box 7080, S-750 07 Uppsala, Sweden Edited by Christopher R. Somerville, Carnegie Institution of Washington, Stanford, CA, and approved March 31, 2000 (received for review February 15, 2000) Triacylglycerol (TAG) is known to be synthesized in a reaction that acid) and epoxidated fatty acid (vernolic acid) in TAG in castor uses acyl-CoA as acyl donor and diacylglycerol (DAG) as acceptor, bean (Ricinus communis) and the hawk’s-beard Crepis palaestina, and which is catalyzed by the enzyme acyl-CoA:diacylglycerol respectively. Furthermore, a similar enzyme is shown to be acyltransferase. We have found that some plants and yeast also present in the yeast Saccharomyces cerevisiae, and the gene have an acyl-CoA-independent mechanism for TAG synthesis, encoding this enzyme, YNR008w, is identified. which uses phospholipids as acyl donors and DAG as acceptor. This reaction is catalyzed by an enzyme that we call phospholipid:dia- Materials and Methods cylglycerol acyltransferase, or PDAT. PDAT was characterized in Yeast Strains and Plasmids. The wild-type yeast strains used were microsomal preparations from three different oil seeds: sunflower, either FY1679 (MAT␣ his3-⌬200 leu2-⌬1 trp1-⌬6 ura3-52) (9) or castor bean, and Crepis palaestina.
    [Show full text]
  • Peroxisomal Fatty Acid Beta-Oxidation in Relation to the Accumulation Of
    Peroxisomal fatty acid beta-oxidation in relation to the accumulation of very long chain fatty acids in cultured skin fibroblasts from patients with Zellweger syndrome and other peroxisomal disorders. R J Wanders, … , A W Schram, J M Tager J Clin Invest. 1987;80(6):1778-1783. https://doi.org/10.1172/JCI113271. Research Article The peroxisomal oxidation of the long chain fatty acid palmitate (C16:0) and the very long chain fatty acids lignocerate (C24:0) and cerotate (C26:0) was studied in freshly prepared homogenates of cultured skin fibroblasts from control individuals and patients with peroxisomal disorders. The peroxisomal oxidation of the fatty acids is almost completely dependent on the addition of ATP, coenzyme A (CoA), Mg2+ and NAD+. However, the dependency of the oxidation of palmitate on the concentration of the cofactors differs markedly from that of the oxidation of lignocerate and cerotate. The peroxisomal oxidation of all three fatty acid substrates is markedly deficient in fibroblasts from patients with the Zellweger syndrome, the neonatal form of adrenoleukodystrophy and the infantile form of Refsum disease, in accordance with the deficiency of peroxisomes in these patients. In fibroblasts from patients with X-linked adrenoleukodystrophy the peroxisomal oxidation of lignocerate and cerotate is impaired, but not that of palmitate. Competition experiments indicate that in fibroblasts, as in rat liver, distinct enzyme systems are responsible for the oxidation of palmitate on the one hand and lignocerate and cerotate on the other hand. Fractionation studies indicate that in rat liver activation of cerotate and lignocerate to cerotoyl-CoA and lignoceroyl-CoA, respectively, occurs in two subcellular fractions, the endoplasmic reticulum and the peroxisomes but not in the mitochondria.
    [Show full text]
  • Comparison of Topological Clustering Within Protein Networks Using Edge
    Comparison of topological clustering within protein networks using edge metrics that evaluate full sequence, full structure, and active site microenvironment similarity Janelle B. Leuthaeuser,1 Stacy T. Knutson,2 Kiran Kumar,2 Patricia C. Babbitt,3,4 and Jacquelyn S. Fetrow1,2* 1Department of Molecular Genetics and Genomics, Wake Forest University, Winston-Salem, North Carolina 27106 2Departments of Computer Science and Physics, Wake Forest University, Winston-Salem, North Carolina 27106 3Department of Bioengineering and Therapeutic Sciences, Institute for Quantitative Biosciences University of California San Francisco, San Francisco, California 94158 4Department of Pharmaceutical Chemistry, Institute for Quantitative Biosciences University of California San Francisco, San Francisco, California 94158 Received 10 April 2015; Accepted 10 June 2015 DOI: 10.1002/pro.2724 Published online 12 June 2015 proteinscience.org Abstract: The development of accurate protein function annotation methods has emerged as a major unsolved biological problem. Protein similarity networks, one approach to function annota- tion via annotation transfer, group proteins into similarity-based clusters. An underlying assump- tion is that the edge metric used to identify such clusters correlates with functional information. In this contribution, this assumption is evaluated by observing topologies in similarity networks using three different edge metrics: sequence (BLAST), structure (TM-Align), and active site similarity (active site profiling, implemented in DASP). Network topologies for four well-studied protein superfamilies (enolase, peroxiredoxin (Prx), glutathione transferase (GST), and crotonase) were compared with curated functional hierarchies and structure. As expected, network topology differs, depending on edge metric; comparison of topologies provides valuable information on structure/ function relationships. Subnetworks based on active site similarity correlate with known functional hierarchies at a single edge threshold more often than sequence- or structure-based networks.
    [Show full text]
  • Supplement 1 Microarray Studies
    EASE Categories Significantly Enriched in vs MG vs vs MGC4-2 Pt1-C vs C4-2 Pt1-C UP-Regulated Genes MG System Gene Category EASE Global MGRWV Pt1-N RWV Pt1-N Score FDR GO Molecular Extracellular matrix cellular construction 0.0008 0 110 genes up- Function Interpro EGF-like domain 0.0009 0 regulated GO Molecular Oxidoreductase activity\ acting on single dono 0.0015 0 Function GO Molecular Calcium ion binding 0.0018 0 Function Interpro Laminin-G domain 0.0025 0 GO Biological Process Cell Adhesion 0.0045 0 Interpro Collagen Triple helix repeat 0.0047 0 KEGG pathway Complement and coagulation cascades 0.0053 0 KEGG pathway Immune System – Homo sapiens 0.0053 0 Interpro Fibrillar collagen C-terminal domain 0.0062 0 Interpro Calcium-binding EGF-like domain 0.0077 0 GO Molecular Cell adhesion molecule activity 0.0105 0 Function EASE Categories Significantly Enriched in Down-Regulated Genes System Gene Category EASE Global Score FDR GO Biological Process Copper ion homeostasis 2.5E-09 0 Interpro Metallothionein 6.1E-08 0 Interpro Vertebrate metallothionein, Family 1 6.1E-08 0 GO Biological Process Transition metal ion homeostasis 8.5E-08 0 GO Biological Process Heavy metal sensitivity/resistance 1.9E-07 0 GO Biological Process Di-, tri-valent inorganic cation homeostasis 6.3E-07 0 GO Biological Process Metal ion homeostasis 6.3E-07 0 GO Biological Process Cation homeostasis 2.1E-06 0 GO Biological Process Cell ion homeostasis 2.1E-06 0 GO Biological Process Ion homeostasis 2.1E-06 0 GO Molecular Helicase activity 2.3E-06 0 Function GO Biological
    [Show full text]
  • Functional Assignments in the Enolase Superfamily: Investigations of Two Divergent Groups of D-Galacturonate Dehydratases and Galactarate Dehydratase-Iii
    FUNCTIONAL ASSIGNMENTS IN THE ENOLASE SUPERFAMILY: INVESTIGATIONS OF TWO DIVERGENT GROUPS OF D-GALACTURONATE DEHYDRATASES AND GALACTARATE DEHYDRATASE-III BY FIONA PATRICIA GRONINGER-POE i DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biochemistry in the Graduate College of the University of Illinois at Urbana-Champaign, 2014 Urbana, Illinois Doctoral Committee: Professor John A. Gerlt, Chair Professor John E. Cronan, Jr. Associate Professor Rutilo Fratti Associate Professor Raven H. Huang ABSTRACT More than a decade after the genomic age, full genome sequencing is cost-effective and fast, allowing for the deposit of an ever increasing number of DNA sequences. New fields have arisen from this availability of genomic information, and the way we think about biochemistry and enzymology has been transformed. Unfortunately, there is no robust method for accurately determining the functions of enzymes encoded by these sequences that matches the speed in which genomes are deposited into public databases. Functional assignment of enzymes remains of utmost importance in understanding microbial metabolism and has applications in agriculture by examining bacterial plant pathogen metabolism and additionally in human health by providing metabolic context to the human gut microbiome. To aid in the functional identification of proteins, enzymes can be grouped into superfamilies which share common structural motifs as well as mechanistic features. To this end, the enolase superfamily is an excellent model system for functional assignment because more than half of the members still lack functional identification. Structurally, these enzymes contain substrate specificity residues in the N-terminal capping domain and catalytic residues in the C-terminal barrel domain.
    [Show full text]
  • Assembly of an Active Enzyme by the Linkage of Two Protein Modules
    Proc. Natl. Acad. Sci. USA Vol. 94, pp. 1069–1073, February 1997 Biochemistry Assembly of an active enzyme by the linkage of two protein modules A. E. NIXON,M.S.WARREN, AND S. J. BENKOVIC* 152 Davey Laboratory, Department of Chemistry, Pennsylvania State University, University Park, PA 16802-6300 Contributed by S. J. Benkovic, December 9, 1996 ABSTRACT The feasibility of creating new enzyme activ- design enzymes with novel properties. Previous approaches to ities from enzymes of known function has precedence in view the design of proteins with novel activities have included of protein evolution based on the concepts of molecular catalytic antibodies (8, 9); introduction of metal ion binding recruitment and exon shuffling. The enzymes encoded by the sites, such as the one engineered into trypsin to allow either Escherichia coli genes purU and purN, N10-formyltetrahydro- control of the proteolytic activity (10) or to regulate specificity folate hydrolase and glycinamide ribonucleotide (GAR) trans- (11); creation of hybrid enzymes through exchange of subunits formylase, respectively, catalyze similiar yet distinct reactions. to create hybrid oligomers (12); replacement of structural N10-formyltetrahydrofolate hydrolase uses water to cleave elements such as the DNA binding domain of GCN4 with that N10-formyltetrahydrofolate into tetrahydrofolate and for- of CyEBP (13); mutation of multiple individual residues to mate, whereas GAR transformylase catalyses the transfer of change the cofactor specificity of glutathione reductase from formyl from N10-formyltetrahydrofolate to GAR to yield NADPH to NADH (14), modulation of the substrate speci- formyl-GAR and tetrahydrofolate. The two enzymes show ficity of aspartate aminotransferase (15); and changing the significant homology ('60%) in the carboxyl-terminal region specificity of subtilisin (16) and a-lytic protease (17) through which, from the GAR transformylase crystal structure and mutation of single functional groups.
    [Show full text]
  • ( 12 ) United States Patent
    US010167477B2 (12 ) United States Patent ( 10 ) Patent No. : US 10 , 167, 477 B2 Pharkya (45 ) Date of Patent : Jan . 1 , 2019 ( 54 ) MICROORGANISMS AND METHODS FOR 5 , 143, 834 A 9 / 1992 Glassner et al . 5 , 168 ,055 A 12 / 1992 Datta et al. THE PRODUCTION OF ANILINE 5 , 168 ,056 A 12 / 1992 Frost .. .. 435 / 472 5 , 173 ,429 A 12/ 1992 Gaddy et al. (71 ) Applicant: Genomatica , Inc. , San Diego , CA (US ) 5 , 182 , 199 A 1 / 1993 Hartley 5 , 192 ,673 A 3 / 1993 Jain et al . (72 ) Inventor : Priti Pharkya, San Diego , CA (US ) 5 , 403 , 721 A 4 / 1995 Ward , Jr . et al. 5 ,413 , 922 A 5 / 1995 Matsuyama et al. 5 ,416 , 020 A 5 / 1995 Severson et al . (73 ) Assignee : GENOMATICA , INC . , San Diego, CA 5 ,457 , 040 A 10 / 1995 Jarry et al . (US ) 5 ,478 , 952 A 12 / 1995 Schwartz 5 ,487 ,987 A 1 / 1996 Frost et al. ( * ) Notice : Subject to any disclaimer, the term of this 5 , 504 ,004 A 4 / 1996 Guettler et al. patent is extended or adjusted under 35 5 , 521 ,075 A 5 / 1996 Guettler et al . U . S . C . 154 ( b ) by 0 days. 5 ,573 , 931 A 11/ 1996 Guettler et al. 5 ,616 , 496 A 4 / 1997 Frost et al. 5 ,686 ,276 A 11 / 1997 Lafend et al . ( 21 ) Appl. No. : 15 /914 , 308 5 ,700 , 934 A 12 / 1997 Wolters et al. 5 ,770 ,435 A 6 / 1998 Donnelly et al . (22 ) Filed : Mar. 7 , 2018 5 , 807 , 722 A 9 / 1998 Gaddy et al .
    [Show full text]
  • Resolution of Carbon Metabolism and Sulfur-Oxidation Pathways of Metallosphaera Cuprina Ar-4 Via Comparative Proteomics
    JOURNAL OF PROTEOMICS 109 (2014) 276– 289 Available online at www.sciencedirect.com ScienceDirect www.elsevier.com/locate/jprot Resolution of carbon metabolism and sulfur-oxidation pathways of Metallosphaera cuprina Ar-4 via comparative proteomics Cheng-Ying Jianga, Li-Jun Liua, Xu Guoa, Xiao-Yan Youa, Shuang-Jiang Liua,c,⁎, Ansgar Poetschb,⁎⁎ aState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, PR China bPlant Biochemistry, Ruhr University Bochum, Bochum, Germany cEnvrionmental Microbiology and Biotechnology Research Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, PR China ARTICLE INFO ABSTRACT Article history: Metallosphaera cuprina is able to grow either heterotrophically on organics or autotrophically Received 16 March 2014 on CO2 with reduced sulfur compounds as electron donor. These traits endowed the species Accepted 6 July 2014 desirable for application in biomining. In order to obtain a global overview of physiological Available online 14 July 2014 adaptations on the proteome level, proteomes of cytoplasmic and membrane fractions from cells grown autotrophically on CO2 plus sulfur or heterotrophically on yeast extract Keywords: were compared. 169 proteins were found to change their abundance depending on growth Quantitative proteomics condition. The proteins with increased abundance under autotrophic growth displayed Bioleaching candidate enzymes/proteins of M. cuprina for fixing CO2 through the previously identified Autotrophy 3-hydroxypropionate/4-hydroxybutyrate cycle and for oxidizing elemental sulfur as energy Heterotrophy source. The main enzymes/proteins involved in semi- and non-phosphorylating Entner– Industrial microbiology Doudoroff (ED) pathway and TCA cycle were less abundant under autotrophic growth. Also Extremophile some transporter proteins and proteins of amino acid metabolism changed their abundances, suggesting pivotal roles for growth under the respective conditions.
    [Show full text]
  • Nucleophile Specificity in Anthranilate Synthase, Aminodeoxychorismate Synthase, Isochorismate Synthase, and Salicylate Synthase Kristin T
    Biochemistry 2010, 49, 2851–2859 2851 DOI: 10.1021/bi100021x Nucleophile Specificity in Anthranilate Synthase, Aminodeoxychorismate Synthase, Isochorismate Synthase, and Salicylate Synthase Kristin T. Ziebart and Michael D. Toney* Department of Chemistry, University of California, Davis, California 95616 Received January 7, 2010; Revised Manuscript Received February 15, 2010 ABSTRACT: Anthranilate synthase (AS), aminodeoxychorismate synthase (ADCS), isochorismate synthase (IS), and salicylate synthase (SS) are structurally homologous chorismate-utilizing enzymes that carry out the first committed step in the formation of tryptophan, folate, and the siderophores enterobactin and mycobactin, respectively. Each enzyme catalyzes a nucleophilic substitution reaction, but IS and SS are uniquely able to employ water as a nucleophile. Lys147 has been proposed to be the catalytic base that activates water for nucleophilic attack in IS and SS reactions; in AS and ADCS, glutamine occupies the analogous position. To probe the role of Lys147 as a catalytic base, the K147Q IS, K147Q SS, Q147K AS, and Q147K ADCS mutants were prepared and enzyme reactions were analyzed by high-performance liquid chromatography. Q147K AS employs water as a nucleophile to a small extent, and the cognate activities of K147Q IS and K147Q SS were reduced ∼25- and ∼50-fold, respectively. Therefore, Lys147 is not solely responsible for activation of water as a nucleophile. Additional factors that contribute to water activation are proposed. A change in substrate preference for K147Q SS pyruvate lyase activity indicates Lys147 partially controls SS reaction specificity. Finally, we demonstrate that AS, ADCS, IS, and SS do not possess choris- mate mutase promiscuous activity, contrary to several previous reports.
    [Show full text]
  • (10) Patent No.: US 8119385 B2
    US008119385B2 (12) United States Patent (10) Patent No.: US 8,119,385 B2 Mathur et al. (45) Date of Patent: Feb. 21, 2012 (54) NUCLEICACIDS AND PROTEINS AND (52) U.S. Cl. ........................................ 435/212:530/350 METHODS FOR MAKING AND USING THEMI (58) Field of Classification Search ........................ None (75) Inventors: Eric J. Mathur, San Diego, CA (US); See application file for complete search history. Cathy Chang, San Diego, CA (US) (56) References Cited (73) Assignee: BP Corporation North America Inc., Houston, TX (US) OTHER PUBLICATIONS c Mount, Bioinformatics, Cold Spring Harbor Press, Cold Spring Har (*) Notice: Subject to any disclaimer, the term of this bor New York, 2001, pp. 382-393.* patent is extended or adjusted under 35 Spencer et al., “Whole-Genome Sequence Variation among Multiple U.S.C. 154(b) by 689 days. Isolates of Pseudomonas aeruginosa” J. Bacteriol. (2003) 185: 1316 1325. (21) Appl. No.: 11/817,403 Database Sequence GenBank Accession No. BZ569932 Dec. 17. 1-1. 2002. (22) PCT Fled: Mar. 3, 2006 Omiecinski et al., “Epoxide Hydrolase-Polymorphism and role in (86). PCT No.: PCT/US2OO6/OOT642 toxicology” Toxicol. Lett. (2000) 1.12: 365-370. S371 (c)(1), * cited by examiner (2), (4) Date: May 7, 2008 Primary Examiner — James Martinell (87) PCT Pub. No.: WO2006/096527 (74) Attorney, Agent, or Firm — Kalim S. Fuzail PCT Pub. Date: Sep. 14, 2006 (57) ABSTRACT (65) Prior Publication Data The invention provides polypeptides, including enzymes, structural proteins and binding proteins, polynucleotides US 201O/OO11456A1 Jan. 14, 2010 encoding these polypeptides, and methods of making and using these polynucleotides and polypeptides.
    [Show full text]
  • Structure and Functional Diversity of GCN5-Related N-Acetyltransferases (GNAT)
    International Journal of Molecular Sciences Review Structure and Functional Diversity of GCN5-Related N-Acetyltransferases (GNAT) Abu Iftiaf Md Salah Ud-Din 1, Alexandra Tikhomirova 1 and Anna Roujeinikova 1,2,* 1 Infection and Immunity Program, Monash Biomedicine Discovery Institute; Department of Microbiology, Monash University, Clayton, Victoria 3800, Australia; [email protected] (A.I.M.S.U.-D.); [email protected] (A.T.) 2 Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia * Correspondence: [email protected]; Tel.: +61-3-9902-9194; Fax: +61-3-9902-9222 Academic Editor: Claudiu T. Supuran Received: 30 May 2016; Accepted: 20 June 2016; Published: 28 June 2016 Abstract: General control non-repressible 5 (GCN5)-related N-acetyltransferases (GNAT) catalyze the transfer of an acyl moiety from acyl coenzyme A (acyl-CoA) to a diverse group of substrates and are widely distributed in all domains of life. This review of the currently available data acquired on GNAT enzymes by a combination of structural, mutagenesis and kinetic methods summarizes the key similarities and differences between several distinctly different families within the GNAT superfamily, with an emphasis on the mechanistic insights obtained from the analysis of the complexes with substrates or inhibitors. It discusses the structural basis for the common acetyltransferase mechanism, outlines the factors important for the substrate recognition, and describes the mechanism of action of inhibitors of these enzymes. It is anticipated that understanding of the structural basis behind the reaction and substrate specificity of the enzymes from this superfamily can be exploited in the development of novel therapeutics to treat human diseases and combat emerging multidrug-resistant microbial infections.
    [Show full text]
  • Supporting Information High-Throughput Virtual Screening
    Supporting Information High-Throughput Virtual Screening of Proteins using GRID Molecular Interaction Fields Simone Sciabola, Robert V. Stanton, James E. Mills, Maria M. Flocco, Massimo Baroni, Gabriele Cruciani, Francesca Perruccio and Jonathan S. Mason Contents Table S1 S2-S21 Figure S1 S22 * To whom correspondence should be addressed: Simone Sciabola, Pfizer Research Technology Center, Cambridge, 02139 MA, USA Phone: +1-617-551-3327; Fax: +1-617-551-3117; E-mail: [email protected] S1 Table S1. Description of the 990 proteins used as decoy for the Protein Virtual Screening analysis. PDB ID Protein family Molecule Res. (Å) 1n24 ISOMERASE (+)-BORNYL DIPHOSPHATE SYNTHASE 2.3 1g4h HYDROLASE 1,3,4,6-TETRACHLORO-1,4-CYCLOHEXADIENE HYDROLASE 1.8 1cel HYDROLASE(O-GLYCOSYL) 1,4-BETA-D-GLUCAN CELLOBIOHYDROLASE I 1.8 1vyf TRANSPORT PROTEIN 14 KDA FATTY ACID BINDING PROTEIN 1.85 1o9f PROTEIN-BINDING 14-3-3-LIKE PROTEIN C 2.7 1t1s OXIDOREDUCTASE 1-DEOXY-D-XYLULOSE 5-PHOSPHATE REDUCTOISOMERASE 2.4 1t1r OXIDOREDUCTASE 1-DEOXY-D-XYLULOSE 5-PHOSPHATE REDUCTOISOMERASE 2.3 1q0q OXIDOREDUCTASE 1-DEOXY-D-XYLULOSE 5-PHOSPHATE REDUCTOISOMERASE 1.9 1jcy LYASE 2-DEHYDRO-3-DEOXYPHOSPHOOCTONATE ALDOLASE 1.9 1fww LYASE 2-DEHYDRO-3-DEOXYPHOSPHOOCTONATE ALDOLASE 1.85 1uk7 HYDROLASE 2-HYDROXY-6-OXO-7-METHYLOCTA-2,4-DIENOATE 1.7 1v11 OXIDOREDUCTASE 2-OXOISOVALERATE DEHYDROGENASE ALPHA SUBUNIT 1.95 1x7w OXIDOREDUCTASE 2-OXOISOVALERATE DEHYDROGENASE ALPHA SUBUNIT 1.73 1d0l TRANSFERASE 35KD SOLUBLE LYTIC TRANSGLYCOSYLASE 1.97 2bt4 LYASE 3-DEHYDROQUINATE DEHYDRATASE
    [Show full text]