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A Comprehensive Database of Bacterial Srna Targets Verified by Experiments
Downloaded from rnajournal.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press BIOINFORMATICS sRNATarBase: A comprehensive database of bacterial sRNA targets verified by experiments YUAN CAO,1,2,3 JIAYAO WU,1,3 QIAN LIU,1 YALIN ZHAO,1 XIAOMIN YING,1 LEI CHA,1 LIGUI WANG,1 and WUJU LI1 1Center of Computational Biology, Beijing Institute of Basic Medical Sciences, Beijing 100850, China 2Department of Clinical Laboratory, The 90th Hospital of Jinan, Jinan, Shandong 250031, China ABSTRACT Bacterial sRNAs are an emerging class of small regulatory RNAs, 40;500 nt in length, which play a variety of important roles in many biological processes through binding to their mRNA or protein targets. A comprehensive database of experimentally confirmed sRNA targets would be helpful in understanding sRNA functions systematically and provide support for developing prediction models. Here we report on such a database—sRNATarBase. The database holds 138 sRNA–target interactions and 252 noninteraction entries, which were manually collected from peer-reviewed papers. The detailed information for each entry, such as supporting experimental protocols, BLAST-based phylogenetic analysis of sRNA–mRNA target interaction in closely related bacteria, predicted secondary structures for both sRNAs and their targets, and available binding regions, is provided as accurately as possible. This database also provides hyperlinks to other databases including GenBank, SWISS-PROT, and MPIDB. The database is available from the web page http://ccb.bmi.ac.cn/srnatarbase/. Keywords: sRNA; sRNA targets; database; experimental supports INTRODUCTION throughput experimental technologies and bioinformatics methods (Livny et al. 2006, 2008; Pichon and Felden 2008; Bacterial sRNAs are an emerging class of small regulatory Huang et al. -
Identification of Cyanobacterial Non-Coding Rnas by Comparative
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by MPG.PuRe Open Access Research2005AxmannetVolume al. 6, Issue 9, Article R73 Identification of cyanobacterial non-coding RNAs by comparative comment genome analysis Ilka M Axmann¤*, Philip Kensche¤*†, Jörg Vogel‡, Stefan Kohl*, Hanspeter Herzel† and Wolfgang R Hess*§ Addresses: *Humboldt-University, Department of Biology/Genetics, Chausseestrasse, D-Berlin, Germany. †Humboldt-University, Institute for Theoretical Biology, Invalidenstrasse, Berlin, Germany. ‡Max Planck Institute for Infection Biology, Schumannstrasse, Berlin, Germany. § University Freiburg, Institute of Biology II/Experimental Bioinformatics, Schänzlestrasse, Freiburg, Germany. reviews ¤ These authors contributed equally to this work. Correspondence: Wolfgang R Hess. E-mail: [email protected] Published: 17 August 2005 Received: 30 March 2005 Revised: 1 June 2005 Genome Biology 2005, 6:R73 (doi:10.1186/gb-2005-6-9-r73) Accepted: 20 July 2005 reports The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2005/6/9/R73 © 2005 Axmann et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Identification<p>Thepredictednetic distribution.</p> first and genome-wide oftheir cyanobacterial presence and was systematicnon-coding biochemically screen RNAs verified. for non-coding These ncRN RNAsAs (ncRNAs) may have inregulatory cyanobacteria. functions, Several and ncRNAs each shows were a computationaldistinct phyloge-ly deposited research Abstract Background: Whole genome sequencing of marine cyanobacteria has revealed an unprecedented degree of genomic variation and streamlining. -
Seed-Based INTARNA Prediction Combined with GFP-Reporter System Identifies Mrna Targets of the Small RNA Yfr1 Andreas S
Vol. 26 no. 1 2010, pages 1–5 BIOINFORMATICS DISCOVERY NOTE doi:10.1093/bioinformatics/btp609 Sequence analysis Seed-based INTARNA prediction combined with GFP-reporter system identifies mRNA targets of the small RNA Yfr1 Andreas S. Richter1, Christian Schleberger2, Rolf Backofen1,∗ and Claudia Steglich3,∗ 1Bioinformatics Group, University of Freiburg, Georges-Köhler-Allee 106, Freiburg D-79110, 2Department of Pharmaceutical Biology and Biotechnology, University of Freiburg, Stefan-Meier-Str. 19 and 3Genetics & Experimental Bioinformatics, University of Freiburg, Schänzlestr. 1, Freiburg D-79104, Germany Received on July 20, 2009; revised on September 18, 2009; accepted on October 11, 2009 Advance Access publication October 22, 2009 Associate Editor: Ivo Hofacker ABSTRACT the ecologically important cyanobacterium Prochlorococcus. Motivation: Prochlorococcus possesses the smallest genome of This photoautotrophically dwelling organism often accounts for up all sequenced photoautotrophs. Although the number of regulatory to 50% of the organic biomass in the oligotrophic areas of the open proteins in the genome is very small, the relative number of small oceans, and is thus a crucial component of the food web (Goericke regulatory RNAs is comparable with that of other bacteria. The and Welschmeyer, 1993; Vaulot et al., 1995). A recent systematic compact genome size of Prochlorococcus offers an ideal system to survey of sRNAs in Prochlorococcus MED4 revealed a large number search for targets of small RNAs (sRNAs) and to refine existing target of potential regulatory RNAs comparable with those found in other prediction algorithms. bacteria (Steglich et al., 2008). This finding was very surprising, as Results: Target predictions for the cyanobacterial sRNA Yfr1 Prochlorococcus has experienced an evolutionary streamlining of were carried out with INTARNA in Prochlorococcus MED4. -
The Streptococcus Suis Transcriptional Landscape Reveals Adaptation Mechanisms in Pig Blood and Cerebrospinal Fluid
Downloaded from rnajournal.cshlp.org on October 3, 2021 - Published by Cold Spring Harbor Laboratory Press The Streptococcus suis transcriptional landscape reveals adaptation mechanisms in pig blood and cerebrospinal fluid ZONGFU WU,1,2,3,7 CHUNYAN WU,4,7 JING SHAO,1,2,3,7 ZHENZHEN ZHU,4,7 WEIXUE WANG,1,2,3 WENWEI ZHANG,4 MIN TANG,1,2,3 NA PEI,4 HONGJIE FAN,1,2,3,5 JIGUANG LI,4 HUOCHUN YAO,1,2,3 HONGWEI GU,6 XUN XU,4,8 and CHENGPING LU1,2,3,8 1College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China 2Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing 210095, China 3OIE Reference Laboratory for Swine Streptococcosis, Nanjing 210095, China 4BGI-Shenzhen, Shenzhen 518083, China 5Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou 225009, China 6Jiangsu Engineering Research Center for microRNA Biology and Biotechnology, State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210093, China ABSTRACT Streptococcus suis (SS) is an important pathogen of pigs, and it is also recognized as a zoonotic agent for humans. SS infection may result in septicemia or meningitis in the host. However, little is known about genes that contribute to the virulence process and survival within host blood or cerebrospinal fluid (CSF). Small RNAs (sRNA) have emerged as key regulators of virulence in several bacteria, but they have not been investigated in SS. Here, using a differential RNA-sequencing approach and RNAs from SS strain P1/7 grown in rich medium, pig blood, or CSF, we present the SS genome-wide map of 793 transcriptional start sites and 370 operons. -
NON-CODING Rnas
CHAPTER 1 NON-CODING RNAs Alexander Donatha, Sven Findeißa, Jana Hertela, Manja Marza, Wolfgang Ottoa, Christine Schulzc, Peter F Stadlera,b,c,d, and Stefan Wirtha aBioinformatics Group, Department of Computer Science; and Interdisciplinary Center for Bioinformatics, University of Leipzig, H¨artelstrasse 16-18, D-01407, Leipzig, Germany bInstitute for Theoretical Chemistry, University of Vienna, W¨ahringerstraße 17, A-1090 Wien, Austria cFraunhofer Institute for Cell Therapy und Immunology, Perlickstrasse 1, D-04103 Leipzig, Germany d Santa Fe Institute, 1399 Hyde Park Rd., Santa Fe, NM 87501, USA 1.1 INTRODUCTION The advent of high-throughput techniques that allow comprehensive unbiased studies of transcription has lead to a dramatic change in our understanding of genome organization. A decade ago, the genome was seen as a linear arrangement of separated individual genes which are predominantly protein-coding, with a small set of ancient non-coding “house- keeping” RNAs such as tRNA and rRNA dating all the way back to an RNA-World. How- ever, in contrast to this simple views more recent studies reveal a much more complex genomic picture. The ENCODE Pilot Project [239], the mouse cDNA project FANTOM [151], and a series of other large scale transcriptome studies, e.g. [202], leave no doubt that the mammalian transcriptome is characterized by a complex mosaic of overlapping, bi-directional transcripts and a plethora of non-protein coding transcripts arising from the same locus, Fig. 1.1. This newly discovered complexity is not unique to mammals. Similar high-throughput studies in invertebrate animals [152, 93] and plants [135] demonstrate the generality of the mammalian genome organization among higher eukaryotes. -
Non-Coding Rnas in Prochlorococcus
University of Plymouth PEARL https://pearl.plymouth.ac.uk Faculty of Health: Medicine, Dentistry and Human Sciences School of Biomedical Sciences 2008-08-29 The challenge of regulation in a minimal photoautotroph: non-coding RNAs in Prochlorococcus. Steglich, C http://hdl.handle.net/10026.1/8406 10.1371/journal.pgen.1000173 PLoS Genet All content in PEARL is protected by copyright law. Author manuscripts are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author. The Challenge of Regulation in a Minimal Photoautotroph: Non-Coding RNAs in Prochlorococcus Claudia Steglich1*, Matthias E. Futschik2, Debbie Lindell3, Bjoern Voss1, Sallie W. Chisholm4, Wolfgang R. Hess1 1 Faculty of Biology, University of Freiburg, Freiburg, Germany, 2 Institute of Theoretical Biology, Humboldt University, Berlin, Germany, 3 Faculty of Biology, Technion – Israel Institute of Technology, Haifa, Israel, 4 Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America Abstract Prochlorococcus, an extremely small cyanobacterium that is very abundant in the world’s oceans, has a very streamlined genome. On average, these cells have about 2,000 genes and very few regulatory proteins. The limited capability of regulation is thought to be a result of selection imposed by a relatively stable environment in combination with a very small genome. Furthermore, only ten non-coding RNAs (ncRNAs), which play crucial regulatory roles in all forms of life, have been described in Prochlorococcus. -
The Novel Regulatory Ncrna, Nfis, Optimizes Nitrogen Fixation Via Base Pairing with the Nitrogenase Gene Nifk Mrna in Pseudomonas Stutzeri A1501
The novel regulatory ncRNA, NfiS, optimizes nitrogen fixation via base pairing with the nitrogenase gene nifK mRNA in Pseudomonas stutzeri A1501 Yuhua Zhana,1, Yongliang Yana,1, Zhiping Denga, Ming Chena, Wei Lua, Chao Lua, Liguo Shanga, Zhimin Yanga, Wei Zhanga, Wei Wanga, Yun Lia,QiKea, Jiasi Lua, Yuquan Xua, Liwen Zhanga, Zhihong Xieb, Qi Chenga, Claudine Elmerichc, and Min Lina,2 aNational Key Facility for Crop Gene Resources and Genetic Improvement, Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China; bKey Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China; and cInstitut Pasteur, Paris 75724 Cedex 15, France Edited by Eva Kondorosi, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary, and approved June 8, 2016 (received for review March 29, 2016) Unlike most Pseudomonas, the root-associated bacterium Pseudo- gene transfer (HGT) in these three strains (17–20). A recent in monas stutzeri A1501 fixes nitrogen after the horizontal acquisi- silico analysis revealed that the island is also conserved in other tion of a nitrogen-fixing (nif) island. A genome-wide search for available genomes of nitrogen-fixing P. stutzeri (ref. 21 and ref- small noncoding RNAs (ncRNAs) in P. stutzeri A1501 identified erences therein). The regulation of nif gene transcription in most the novel P. stutzeri-specific ncRNA NfiS in the core genome, whose diazotrophs depends on the sigma factor RpoN/global nitrogen synthesis was significantly induced under nitrogen fixation or sorbitol activator NtrC/nif-specific activator NifA regulatory cascade stress conditions. The expression of NfiS was RNA chaperone Hfq- (22). -
The Essential Gene Set of a Photosynthetic Organism PNAS PLUS
The essential gene set of a photosynthetic organism PNAS PLUS Benjamin E. Rubina, Kelly M. Wetmoreb, Morgan N. Priceb, Spencer Diamonda, Ryan K. Shultzabergerc, Laura C. Lowea, Genevieve Curtina, Adam P. Arkinb,d, Adam Deutschbauerb, and Susan S. Goldena,1 aDivision of Biological Sciences, University of California, San Diego, La Jolla, CA 92093; bPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720; cKavli Institute for Brain and Mind, University of California, San Diego, La Jolla, CA 92093; and dDepartment of Bioengineering, University of California, Berkeley, CA 94720 Contributed by Susan S. Golden, September 29, 2015 (sent for review July 16, 2015; reviewed by Caroline S. Harwood and William B. Whitman) Synechococcus elongatus PCC 7942 is a model organism used for Tn-seq–like system in Chlamydomonas reinhardtii; however, the studying photosynthesis and the circadian clock, and it is being mutant library currently lacks sufficient saturation to determine developed for the production of fuel, industrial chemicals, and gene essentiality (12). To date, the essential genes for photo- pharmaceuticals. To identify a comprehensive set of genes and autotrophs have only been estimated by indirect means, such as intergenic regions that impacts fitness in S. elongatus, we created by comparative genomics (13). The absence of experimentally a pooled library of ∼250,000 transposon mutants and used sequencing determined essential gene sets in photosynthetic organisms, de- to identify the insertion locations. By analyzing the distribution and spite their importance to the environment and industrial pro- survival of these mutants, we identified 718 of the organism’s 2,723 duction, is largely because of the difficulty and time required for genes as essential for survival under laboratory conditions. -
Freiburg RNA Tools: a Web Server Integrating Intarna, Exparna and Locarna
Freiburg RNA Tools: a web server integrating IntaRNA, ExpaRNA and LocARNA The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Smith, C. et al. “Freiburg RNA Tools: a Web Server Integrating INTARNA, EXPARNA and LOCARNA.” Nucleic Acids Research 38.Web Server (2010): W373–W377. Web. As Published http://dx.doi.org/10.1093/nar/gkq316 Publisher Oxford University Press Version Final published version Citable link http://hdl.handle.net/1721.1/72078 Terms of Use Creative Commons Attribution Non-Commercial Detailed Terms http://creativecommons.org/licenses/by-nc/2.5 Published online 5 May 2010 Nucleic Acids Research, 2010, Vol. 38, Web Server issue W373–W377 doi:10.1093/nar/gkq316 Freiburg RNA Tools: a web server integrating INTARNA, EXPARNA and LOCARNA Cameron Smith1, Steffen Heyne1, Andreas S. Richter1, Sebastian Will1,2 and Rolf Backofen1,* 1Bioinformatics Group, University of Freiburg, Freiburg 79110, Germany and 2Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA Received February 2, 2010; Revised March 31, 2010; Accepted April 17, 2010 ABSTRACT GENERAL OVERVIEW The Freiburg RNA tools web server integrates three The central purpose of the web server is to provide RNA tools for the advanced analysis of RNA in a common analysis tools that have been developed by the Freiburg web-based user interface. The tools INTARNA, Bioinformatics Group. To this end, the web server integrates three tools for different analysis tasks in a EXPARNA and LOCARNA support the prediction of common framework. RNA–RNA interaction, exact RNA matching and Each tool accepts a set of sequences in FASTA format alignment of RNA, respectively. -
Genetic Responses of Metabolically Active Limnospira Indica Strain PCC 8005 Exposed to Γ-Radiation During Its Lifecycle
microorganisms Article Genetic Responses of Metabolically Active Limnospira indica Strain PCC 8005 Exposed to γ-Radiation during Its Lifecycle Anu Yadav 1,2 , Laurens Maertens 1,3, Tim Meese 4, Filip Van Nieuwerburgh 4 , Mohamed Mysara 1, Natalie Leys 1 , Ann Cuypers 2 and Paul Jaak Janssen 1,* 1 Interdisciplinary Biosciences, Microbiology Unit, Belgian Nuclear Research Centre (SCKCEN), 2400 Mol, Belgium; [email protected] (A.Y.); [email protected] (L.M.); [email protected] (M.M.); [email protected] (N.L.) 2 Environmental Biology, Centre for Environmental Sciences, Hasselt University, 3590 Diepenbeek, Belgium; [email protected] 3 Research Unit in Biology of Microorganisms (URBM), Narilis Institute, University of Namur, 5000 Namur, Belgium 4 Laboratory of Pharmaceutical Biotechnology, Ghent University, 9000 Ghent, Belgium; [email protected] (T.M.); fi[email protected] (F.V.N.) * Correspondence: [email protected]; Tel.: +32-14-332-129 Abstract: Two morphotypes of the cyanobacterial Limnospira indica (formerly Arthrospira sp.) strain PCC 8005, denoted as P2 (straight trichomes) and P6 (helical trichomes), were subjected to chronic −1 gamma radiation from spent nuclear fuel (SNF) rods at a dose rate of ca. 80 Gy·h for one mass doubling period (approximately 3 days) under continuous light with photoautotrophic metabolism Citation: Yadav, A.; Maertens, L.; fully active. Samples were taken for post-irradiation growth recovery and RNA-Seq transcriptional Meese, T.; Van Nieuwerburgh, F.; analysis at time intervals of 15, 40, and 71.5 h corresponding to cumulative doses of ca. 1450, 3200, and Mysara, M.; Leys, N.; Cuypers, A.; 5700 Gy, respectively. -
A Motif-Based Search in Bacterial Genomes
BMC Genomics BioMed Central Research article Open Access A motif-based search in bacterial genomes identifies the ortholog of the small RNA Yfr1 in all lineages of cyanobacteria Björn Voß1, Gregor Gierga1, Ilka M Axmann2 and Wolfgang R Hess*1 Address: 1University of Freiburg, Faculty of Biology, Experimental Bioinformatics, Schänzlestr. 1, D-79104 Freiburg, Germany and 2Humboldt University Berlin, Institute for Theoretical Biology, Invalidenstrasse 43, D-10115 Berlin, Germany Email: Björn Voß - [email protected]; Gregor Gierga - [email protected]; Ilka M Axmann - [email protected]; Wolfgang R Hess* - [email protected] * Corresponding author Published: 17 October 2007 Received: 29 March 2007 Accepted: 17 October 2007 BMC Genomics 2007, 8:375 doi:10.1186/1471-2164-8-375 This article is available from: http://www.biomedcentral.com/1471-2164/8/375 © 2007 Voß et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Non-coding RNAs (ncRNA) are regulators of gene expression in all domains of life. They control growth and differentiation, virulence, motility and various stress responses. The identification of ncRNAs can be a tedious process due to the heterogeneous nature of this molecule class and the missing sequence similarity of orthologs, even among closely related species. The small ncRNA Yfr1 has previously been found in the Prochlorococcus/Synechococcus group of marine cyanobacteria. -
Identifizierung Neuer Nicht-Kodierender Rnas in Xanthomonas Campestris Pv
Identifizierung neuer nicht-kodierender RNAs in Xanthomonas campestris pv. vesicatoria und funktionelle Charakterisierung der regulatorischen RNA sX13 Dissertation zur Erlangung des Doktorgrades der Naturwissenschaften (Dr. rer. nat.) der Naturwissenschaftlichen Fakultät I – Biowissenschaften – der Martin-Luther-Universität Halle-Wittenberg, vorgelegt von Herrn Cornelius Schmidtke geb. am 15.05.1982 in Jena Gutachter: Prof. Dr. U. Bonas Prof. Dr. G. Sawers Prof. Dr. W. Hess Verteidigung: 29.04.2014 I Teile dieser Arbeit wurden in Fachzeitschriften publiziert: Schmidtke, C., Findeiß, S., Sharma, C.M., Kuhfuss, J., Hoffmann, S., Vogel, J., Stadler, P.F. and Bonas, U. (2012) Genome-wide transcriptome analysis of the plant pathogen Xanthomonas identifies sRNAs with putative virulence functions. Nucleic Acids Res., 40, 2020-2031. Findeiß, S., Schmidtke, C., Stadler, P.F. and Bonas, U. (2010) A novel family of plasmid- transferred anti-sense ncRNAs. RNA Biol, 7, 120-124. Schmidtke, C., Abendroth, U., Brock, J., Serrania, J., Becker, A. and Bonas, U. (2013) Small RNA sX13: a multifaceted regulator of virulence in the plant pathogen Xanthomonas. PLoS Pathog., 9, e1003626. II Zusammenfassung Das Gram-negative pflanzenpathogene γ-Proteobakterium Xanthomonas campestris pv. vesicatoria ist der Erreger der bakteriellen Fleckenkrankheit auf Paprika und Tomate. Die Kenntnis bakterieller Faktoren, die zur Infektion von Wirtspflanzen beitragen, war zu Beginn dieser Arbeit auf Proteine begrenzt, wohingegen die Rolle nicht-kodierender RNAs in der Virulenz von Xanthomonas Spezies unbekannt war. Mittels eines cDNA-Sequenzieransatzes, welcher die Unterscheidung von Primärtranskripten und prozessierten RNAs ermöglicht, wurden 1.421 potentielle Transskriptionsstartpositionen sowie abundante nicht-kodierende RNAs in X. campestris pv. vesicatoria Stamm 85-10 identifiziert. Insgesamt wurden 24 potentiell regulatorische RNAs experimentell bestätigt, von denen drei (PtaRNA1, sX12 und sX13) näher untersucht wurden.