Genome Sequencing and Analysis of Alcaligenes Faecalis Subsp
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Functional Annotation and Curation of Hypothetical Proteins Present in a Newly Emerged Serotype 1C of Shigella Flexneri
G C A T T A C G G C A T genes Article Functional Annotation and Curation of Hypothetical Proteins Present in A Newly Emerged Serotype 1c of Shigella flexneri: Emphasis on Selecting Targets for Virulence and Vaccine Design Studies Tanuka Sen and Naresh K. Verma * Division of Biomedical Science and Biochemistry, Research School of Biology, The Australian National University, Canberra, ACT 2601, Australia; [email protected] * Correspondence: [email protected] Received: 12 February 2020; Accepted: 19 March 2020; Published: 23 March 2020 Abstract: Shigella flexneri is the principal cause of bacillary dysentery, contributing significantly to the global burden of diarrheal disease. The appearance and increase in the multi-drug resistance among Shigella strains, necessitates further genetic studies and development of improved/new drugs against the pathogen. The presence of an abundance of hypothetical proteins in the genome and how little is known about them, make them interesting genetic targets. The present study aims to carry out characterization of the hypothetical proteins present in the genome of a newly emerged serotype of S. flexneri (strain Y394), toward their novel regulatory functions using various bioinformatics databases/tools. Analysis of the genome sequence rendered 4170 proteins, out of which 721 proteins were annotated as hypothetical proteins (HPs) with no known function. The amino acid sequences of these HPs were evaluated using a combination of latest bioinformatics tools based on homology search against functionally identified proteins. Functional domains were considered as the basis to infer the biological functions of HPs in this case and the annotation helped in assigning various classes to the proteins such as signal transducers, lipoproteins, enzymes, membrane proteins, transporters, virulence, and binding proteins. -
Structural Basis for Mammalian Nucleotide Sugar Transport Shivani Ahuja, Matthew R Whorton*
RESEARCH ARTICLE Structural basis for mammalian nucleotide sugar transport Shivani Ahuja, Matthew R Whorton* Vollum Institute, Oregon Health & Science University, Portland, United States Abstract Nucleotide-sugar transporters (NSTs) are critical components of the cellular glycosylation machinery. They transport nucleotide-sugar conjugates into the Golgi lumen, where they are used for the glycosylation of proteins and lipids, and they then subsequently transport the nucleotide monophosphate byproduct back to the cytoplasm. Dysregulation of human NSTs causes several debilitating diseases, and NSTs are virulence factors for many pathogens. Here we present the first crystal structures of a mammalian NST, the mouse CMP-sialic acid transporter (mCST), in complex with its physiological substrates CMP and CMP-sialic acid. Detailed visualization of extensive protein-substrate interactions explains the mechanisms governing substrate selectivity. Further structural analysis of mCST’s unique lumen-facing partially-occluded conformation, coupled with the characterization of substrate-induced quenching of mCST’s intrinsic tryptophan fluorescence, reveals the concerted conformational transitions that occur during substrate transport. These results provide a framework for understanding the effects of disease-causing mutations and the mechanisms of this diverse family of transporters. DOI: https://doi.org/10.7554/eLife.45221.001 Introduction Nucleotide-sugar transporters (NSTs) are products of the solute carrier 35 (SLC35) gene family in humans and are -
Analysis of Membrane Transporter Systems Expressed During Symbiotic Nitrogen Fixation in the Model Legume Medicago Truncatula
Graduate Theses, Dissertations, and Problem Reports 2018 ANALYSIS OF MEMBRANE TRANSPORTER SYSTEMS EXPRESSED DURING SYMBIOTIC NITROGEN FIXATION IN THE MODEL LEGUME MEDICAGO TRUNCATULA Christina Laureen Wyman Follow this and additional works at: https://researchrepository.wvu.edu/etd Recommended Citation Wyman, Christina Laureen, "ANALYSIS OF MEMBRANE TRANSPORTER SYSTEMS EXPRESSED DURING SYMBIOTIC NITROGEN FIXATION IN THE MODEL LEGUME MEDICAGO TRUNCATULA" (2018). Graduate Theses, Dissertations, and Problem Reports. 7280. https://researchrepository.wvu.edu/etd/7280 This Dissertation is protected by copyright and/or related rights. It has been brought to you by the The Research Repository @ WVU with permission from the rights-holder(s). You are free to use this Dissertation in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you must obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Dissertation has been accepted for inclusion in WVU Graduate Theses, Dissertations, and Problem Reports collection by an authorized administrator of The Research Repository @ WVU. For more information, please contact [email protected]. ANALYSIS OF MEMBRANE TRANSPORTER SYSTEMS EXPRESSED DURING SYMBIOTIC NITROGEN FIXATION IN THE MODEL LEGUME MEDICAGO TRUNCATULA Christina Laureen Wyman Dissertation submitted to Davis College of Agriculture, Natural Resources and Design at West Virginia University in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Genetics and Developmental Biology Vagner Benedito, Ph.D., Chair Jonathan Cumming, Ph.D. Daniel Panaccione, Ph.D. Nicole Waterland, Ph.D. -
Heliorhodopsin Evolution Is Driven by Photosensory Promiscuity in Monoderms 2 Paul-Adrian Bulzu1, Vinicius Silva Kavagutti1,2, Maria-Cecilia Chiriac1, Charlotte 3 D
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.01.429150; this version posted February 2, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Heliorhodopsin evolution is driven by photosensory promiscuity in monoderms 2 Paul-Adrian Bulzu1, Vinicius Silva Kavagutti1,2, Maria-Cecilia Chiriac1, Charlotte 3 D. Vavourakis3, Keiichi Inoue4, Hideki Kandori5,6, Adrian-Stefan Andrei7, Rohit 4 Ghai1* 5 1Department of Aquatic Microbial Ecology, Institute of Hydrobiology, Biology Centre of 6 the Academy of Sciences of the Czech Republic, České Budějovice, Czech Republic. 7 2Department of Ecosystem Biology, Faculty of Science, University of South Bohemia, 8 Branišovská 1760, České Budějovice, Czech Republic. 9 3EUTOPS, Research Institute for Biomedical Aging Research, University of Innsbruck, 10 Austria. 11 4The Institute for Solid State Physics, The University of Tokyo, Kashiwa, Japan. 12 5Department of Life Science and Applied Chemistry, Nagoya Institute of Technology, 13 Showa, Nagoya 466-8555, Japan. 14 6OptoBioTechnology Research Center, Nagoya Institute of Technology, Showa, Nagoya 15 466-8555, Japan 16 7Limnological Station, Department of Plant and Microbial Biology, University of Zurich, 17 Kilchberg, Switzerland. 18 *Corresponding author: Rohit Ghai 19 Department of Aquatic Microbial Ecology, Institute of Hydrobiology, Biology Centre of 20 the Academy 21 of Sciences of the Czech Republic, Na Sádkách 7, 370 05, České Budějovice, Czech 22 Republic. 23 Phone: +420 387 775 881 24 Fax: +420 385 310 248 25 E-mail: [email protected] 26 bioRxiv preprint doi: https://doi.org/10.1101/2021.02.01.429150; this version posted February 2, 2021. -
Functional Specialization in Nucleotide Sugar Transporters Occurred Through Differentiation of the Gene Cluster Eama
Västermark et al. BMC Evolutionary Biology 2011, 11:123 http://www.biomedcentral.com/1471-2148/11/123 RESEARCHARTICLE Open Access Functional specialization in nucleotide sugar transporters occurred through differentiation of the gene cluster EamA (DUF6) before the radiation of Viridiplantae Åke Västermark1*, Markus Sällman Almén1, Martin W Simmen2, Robert Fredriksson1 and Helgi B Schiöth1 Abstract Background: The drug/metabolite transporter superfamily comprises a diversity of protein domain families with multiple functions including transport of nucleotide sugars. Drug/metabolite transporter domains are contained in both solute carrier families 30, 35 and 39 proteins as well as in acyl-malonyl condensing enzyme proteins. In this paper, we present an evolutionary analysis of nucleotide sugar transporters in relation to the entire superfamily of drug/metabolite transporters that considers crucial intra-protein duplication events that have shaped the transporters. We use a method that combines the strengths of hidden Markov models and maximum likelihood to find relationships between drug/metabolite transporter families, and branches within families. Results: We present evidence that the triose-phosphate transporters, domain unknown function 914, uracil- diphosphate glucose-N-acetylglucosamine, and nucleotide sugar transporter families have evolved from a domain duplication event before the radiation of Viridiplantae in the EamA family (previously called domain unknown function 6). We identify previously unknown branches in the solute carrier 30, 35 and 39 protein families that emerged simultaneously as key physiological developments after the radiation of Viridiplantae, including the “35C/E” branch of EamA, which formed in the lineage of T. adhaerens (Animalia). We identify a second cluster of DMTs, called the domain unknown function 1632 cluster, which has non-cytosolic N- and C-termini, and thus appears to have been formed from a different domain duplication event. -
The Complexity, Challenges and Benefits of Comparing Two Transporter Classification Systems in TCDB and Pfam Zachary Chiang*, Ake Vastermark*, Marco Punta, Penelope C
Briefings in Bioinformatics, 16(5), 2015, 865–872 doi: 10.1093/bib/bbu053 Advance Access Publication Date: 21 January 2015 Paper The complexity, challenges and benefits of comparing two transporter classification systems in TCDB and Pfam Zachary Chiang*, Ake Vastermark*, Marco Punta, Penelope C. Coggill, Jaina Mistry, Robert D. Finn and Milton H. Saier, Jr Corresponding author. Milton H. Saier, Jr., Department of Molecular Biology, UC San Diego, La Jolla, CA 92093-0116. Tel.: þ1-858-534-4084; Fax: þ1-858-534- 7108. E-mail: [email protected] *These authors contributed equally to this work. Abstract Transport systems comprise roughly 10% of all proteins in a cell, playing critical roles in many processes. Improving and expanding their classification is an important goal that can affect studies ranging from comparative genomics to potential drug target searches. It is not surprising that different classification systems for transport proteins have arisen, be it within a specialized database, focused on this functional class of proteins, or as part of a broader classification system for all proteins. Two such databases are the Transporter Classification Database (TCDB) and the Protein family (Pfam) database. As part of a long-term endeavor to improve consistency between the two classification systems, we have compared transporter annota- tions in the two databases to understand the rationale for differences and to improve both systems. Differences sometimes reflect the fact that one database has a particular transporter family while the other does not. Differing family definitions and hierarchical organizations were reconciled, resulting in recognition of 69 Pfam ‘Domains of Unknown Function’, which proved to be transport protein families to be renamed using TCDB annotations. -
Title Author Names and Affiliations
1 1 Title 2 Large scale determination of previously unsolved protein structures using evolutionary 3 information 4 5 Author names and affiliations 6 7 Sergey Ovchinnikov1, Lisa Kinch2, Hahnbeom Park1, Yuxing Liao3, Jimin Pei2, David E. Kim1, 8 Hetunandan Kamisetty4, Nick V. Grishin2,3, David Baker1,5,* 9 10 1 Department of Biochemistry, University of Washington, Seattle, Washington, USA 11 2 Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, 12 Texas, USA 13 3 Department of Biophysics and Department of Biochemistry, University of Texas Southwestern 14 Medical Center, Dallas, Texas, USA 15 4 Facebook Inc., Seattle, Washington, USA 16 5 Howard Hughes Medical Institute, University of Washington, Box 357370, Seattle, 17 Washington, USA 18 *Correspondence to: [email protected] 19 20 21 Abstract: The prediction of the structures of proteins without detectable sequence similarity to 22 any protein of known structure remains an outstanding scientific challenge. Here we describe de 23 novo blind structure predictions of unprecedented accuracy for two proteins in large families 24 made in the recent CASP11 blind test of protein structure prediction methods by incorporating 25 residue-residue co-evolution information in the Rosetta structure prediction program. We then 26 use the method to generate structure models for 58 of the 121 large protein families in 27 prokaryotes for which three dimensional structures are not available. These models, which are 28 posted online for public access, provide structural information for the over 400,000 proteins 29 belonging to the 58 families and suggest hypotheses about mechanism for the subset for which 30 the function is known, and hypotheses about function for the remainder. -
Functional Annotation of Hypothetical Proteins from the Exiguobacterium
RESEARCH ARTICLE Functional annotation of hypothetical proteins from the Exiguobacterium antarcticum strain B7 reveals proteins involved in adaptation to extreme environments, including high arsenic resistance Wana Lailan Oliveira da Costa1☯, Carlos Leonardo de Aragão Arau jo1☯, Larissa a1111111111 Maranhão Dias1, Lino CeÂsar de Sousa Pereira1, Jorianne Thyeska Castro Alves1, FabrõÂcio a1111111111 Almeida ArauÂjo1, Edson Luiz Folador2, Isabel Henriques3, Artur Silva1, Adriana Ribeiro a1111111111 Carneiro Folador1* a1111111111 1 Laboratory of Genomic and Bioinformatics, Center of Genomics and System Biology, Institute of Biological a1111111111 Science, Federal University of Para, BeleÂm, ParaÂ, Brazil, 2 Biotechnology Center, Federal University of Paraiba, João Pessoa, ParaõÂba, Brazil, 3 Biology Department & CESAM, University of Aveiro, Aveiro, Portugal ☯ These authors contributed equally to this work. OPEN ACCESS * [email protected], [email protected] Citation: da Costa WLO, ArauÂjo CLdA, Dias LM, Pereira LCdS, Alves JTC, ArauÂjo FA, et al. (2018) Functional annotation of hypothetical proteins from Abstract the Exiguobacterium antarcticum strain B7 reveals proteins involved in adaptation to extreme Exiguobacterium antarcticum strain B7 is a psychrophilic Gram-positive bacterium that pos- environments, including high arsenic resistance. sesses enzymes that can be used for several biotechnological applications. However, many PLoS ONE 13(6): e0198965. https://doi.org/ proteins from its genome are considered hypothetical proteins (HPs). These functionally 10.1371/journal.pone.0198965 unknown proteins may indicate important functions regarding the biological role of this bac- Editor: Honghuang Lin, Boston University, UNITED terium, and the use of bioinformatics tools can assist in the biological understanding of this STATES organism through functional annotation analysis. Thus, our study aimed to assign functions Received: January 12, 2018 to proteins previously described as HPs, present in the genome of E. -
A Large Self-Transmissible Resistance Plasmid from Nigeria Contains
www.nature.com/scientificreports OPEN A large self-transmissible resistance plasmid from Nigeria contains genes that ameliorate a carrying cost Rubén Monárrez1, Molly Braun1, Olivia Coburn-Flynn1, João Botelho2, Babatunde W. Odetoyin3, Jose I. Otero-Vera1, Naa Kwarley Eyiram Quartey1, Luísa Peixe2, Aaron O. Aboderin3 & Iruka N. Okeke 1,4* Antimicrobial resistance is rapidly expanding, in a large part due to mobile genetic elements. We screened 94 fecal fuoroquinolone-resistant Escherichia coli isolates from Nigeria for six plasmid- mediated quinolone resistance (PMQR) genes. Sixteen isolates harbored at least one of the PMQR genes and four were positive for aac-6-Ib-cr. In one strain, aac-6-Ib-cr was mapped to a 125 Kb self- transmissible IncFII plasmid, pMB2, which also bears blaCTX-M-15, seven other functional resistance genes and multiple resistance pseudogenes. Laboratory strains carrying pMB2 grew faster than isogenic strains lacking the plasmid in both rich and minimal media. We excised a 32 Kb fragment containing transporter genes and several open-reading frames of unknown function. The resulting 93 Kb mini- plasmid conferred slower growth rates and lower ftness than wildtype pMB2. Trans-complementing the deletion with the cloned sitABCD genes confrmed that they accounted for the growth advantage conferred by pMB2 in iron-depleted media. pMB2 is a large plasmid with a fexible resistance region that contains loci that can account for evolutionary success in the absence of antimicrobials. Ancillary functions conferred by resistance plasmids can mediate their retention and transmissibility, worsening the trajectory for antimicrobial resistance and potentially circumventing eforts to contain resistance through restricted use. -
Downloaded Sequence Rep- and Joining of Families of Both Systems
UC San Diego UC San Diego Previously Published Works Title The complexity, challenges and benefits of comparing two transporter classification systems in TCDB and Pfam. Permalink https://escholarship.org/uc/item/0k22s33f Journal Briefings in bioinformatics, 16(5) ISSN 1467-5463 Authors Chiang, Zachary Vastermark, Ake Punta, Marco et al. Publication Date 2015-09-01 DOI 10.1093/bib/bbu053 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Briefings in Bioinformatics, 16(5), 2015, 865–872 doi: 10.1093/bib/bbu053 Advance Access Publication Date: 21 January 2015 Paper The complexity, challenges and benefits of comparing two transporter classification systems in TCDB and Pfam Zachary Chiang*, Ake Vastermark*, Marco Punta, Penelope C. Coggill, Jaina Mistry, Robert D. Finn and Milton H. Saier, Jr Corresponding author. Milton H. Saier, Jr., Department of Molecular Biology, UC San Diego, La Jolla, CA 92093-0116. Tel.: þ1-858-534-4084; Fax: þ1-858-534- 7108. E-mail: [email protected] *These authors contributed equally to this work. Abstract Transport systems comprise roughly 10% of all proteins in a cell, playing critical roles in many processes. Improving and expanding their classification is an important goal that can affect studies ranging from comparative genomics to potential drug target searches. It is not surprising that different classification systems for transport proteins have arisen, be it within a specialized database, focused on this functional class of proteins, or as part of a broader classification system for all proteins. Two such databases are the Transporter Classification Database (TCDB) and the Protein family (Pfam) database. -
“Rlk” and Receptor-Like Proteins L
COMPUTATIONAL IDENTIFICATION, PHYLOGENETIC AND SYNTENY ANALYSIS OF RECEPTOR-LIKE KINASES “RLK” AND RECEPTOR-LIKE PROTEINS “RLP” IN LEGUMES A Dissertation Submitted to the Graduate Faculty of the North Dakota State University of Agriculture and Applied Science By Daniel Restrepo Montoya In Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY Major Program: Genomics and Bioinformatics October 2018 Fargo, North Dakota North Dakota State University GraDuate School Title COMPUTATIONAL IDENTIFICATION, PHYLOGENETIC AND SYNTENY ANALYSIS OF RECEPTOR-LIKE KINASES “RLK” AND RECEPTOR-LIKE PROTEINS “RLP” IN LEGUMES By Daniel Restrepo Montoya The Supervisory Committee certifies that this disquisition complies with North Dakota State University’s regulations and meets the accepted standards for the degree of DOCTOR OF PHILOSOPHY SUPERVISORY COMMITTEE: Dr. Juan M. Osorno Co-Chair Dr. Phillip E. McClean Co-Chair Dr. Julia Bowsher Dr. Robert Brueggemann ApproveD: 11/16/2018 Dr. Phillip E. McClean Date Department Chair ABSTRACT Legumes are considered the second most important family of crop plants after the grass family based on economic relevance. In recent years, the field of legume genomics has expanded due to advancements in high-throughput sequencing and genotyping technologies. To date, no published comparative genomic analysis explores receptor-like kinases “RLK” and receptor-like proteins “RLP” among legume genomes. Evaluating these RLK and RLP should provide a source of new information because extensive genetic and phenotypic studies have already discovered the diverse roles of RLK and RLP in cell development, disease resistance, and stress responses among other functions. This study demonstrates that a computational logical approach for classifying the RLK/RLP in legumes/non-legumes is statistically well supported and can be used in other plant species. -
Large-Scale Determination of Previously Unsolved Protein
RESEARCH ARTICLE elifesciences.org Large-scale determination of previously unsolved protein structures using evolutionary information Sergey Ovchinnikov1, Lisa Kinch2, Hahnbeom Park1, Yuxing Liao3, Jimin Pei2, David E Kim1, Hetunandan Kamisetty4, Nick V Grishin2,3, David Baker1,5* 1Department of Biochemistry, University of Washington, Seattle, United States; 2Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, United States; 3Department of Biophysics, Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, United States; 4Facebook Inc., Seattle, United States; 5Howard Hughes Medical Institute, University of Washington, Seattle, United States Abstract The prediction of the structures of proteins without detectable sequence similarity to any protein of known structure remains an outstanding scientific challenge. Here we report significant progress in this area. We first describe de novo blind structure predictions of unprecendented accuracy we made for two proteins in large families in the recent CASP11 blind test of protein structure prediction methods by incorporating residue–residue co-evolution information in the Rosetta structure prediction program. We then describe the use of this method to generate structure models for 58 of the 121 large protein families in prokaryotes for which three-dimensional structures are not available. These models, which are posted online for public access, provide structural information for the over 400,000 proteins belonging to the 58 families and suggest hypotheses about mechanism for the subset for which the function is known, and hypotheses about function for the remainder. DOI: 10.7554/eLife.09248.001 *For correspondence: dabaker@ uw.edu Introduction Competing interests: The authors declare that no Despite substantial efforts over decades, high-resolution structure prediction is currently limited to competing interests exist.