Literature DB >> 25378308

REBASE--a database for DNA restriction and modification: enzymes, genes and genomes.

Richard J Roberts1, Tamas Vincze2, Janos Posfai2, Dana Macelis2.   

Abstract

REBASE is a comprehensive and fully curated database of information about the components of restriction-modification (RM) systems. It contains fully referenced information about recognition and cleavage sites for both restriction enzymes and methyltransferases as well as commercial availability, methylation sensitivity, crystal and sequence data. All genomes that are completely sequenced are analyzed for RM system components, and with the advent of PacBio sequencing, the recognition sequences of DNA methyltransferases (MTases) are appearing rapidly. Thus, Type I and Type III systems can now be characterized in terms of recognition specificity merely by DNA sequencing. The contents of REBASE may be browsed from the web http://rebase.neb.com and selected compilations can be downloaded by FTP (ftp.neb.com). Monthly updates are also available via email.
© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2014        PMID: 25378308      PMCID: PMC4383893          DOI: 10.1093/nar/gku1046

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


OVERVIEW

The previous description of REBASE in the 2010 NAR Database Issue (1) described 3945 biochemically or genetically characterized restriction-modification (RM) systems and included an analysis of just 400 bacterial and archaeal genomes that were present in GenBank (2,3). Since then the number of completely sequenced genomes has risen to more than 5000 and comprehensive descriptions of the RM content of these fully sequenced genomes are available through REBASE in several different formats. In addition, selected genome shotgun sequence sets are also analyzed and the RM system components extracted. The predicted proteins are named according to standard conventions (4) and labeled with the suffix ‘P’ to indicate they are putative. If and when they become biochemically characterized, then the appropriate Roman numeral is used to replace the Open Reading Frame (ORF)-designation initially assigned. The fastest growing segment of biochemically characterized RM system components are the DNA methyltransferases, currently being found using real-time Single Molecule Real Time (SMRT) sequencing (5–7). In a large number of cases the recognition motifs for DNA methyltransferases arising from such sequencing can be matched with the genes that encode them. For instance, the recognition sequences of Type I systems have a very characteristic bipartite structure and when the genome contains only one such Type I set of genes, then it is clear that the methyltransferase gene and its associated specificity gene are both active and the recognition motif can be assigned. This in turn allows propagation of these specificities both to putative Type I systems and also in many cases allows the identification of active Type I systems in genomes where more than one Type I system is present. These matches are made via REBASE and documented. The same is true for Type III RM systems and again, is made possible because the recognition specificity for the system is encoded in the methyltransferase gene. The enormous growth in these systems is shown in Figure 1, which documents the rate of discovery of Type I and Type III RM system specificities since the very first one was discovered and characterized in 1968 (8).
Figure 1.

Dotted lines signify methylated motifs awaiting gene assignment. The sharp increase starting in 2012 is the result of the introduction of SMRT sequencing.

Dotted lines signify methylated motifs awaiting gene assignment. The sharp increase starting in 2012 is the result of the introduction of SMRT sequencing. Given the unique ability of SMRT sequencing to detect methylated bases it is almost always extremely useful to run the ‘Modification and Motif Analysis’ protocol on such data, to generate the motif_summary.csv file that summarizes the methylation patterns that are present. We encourage everyone sequencing bacterial genomes to generate these summaries and submit them to GenBank as part of their sequence submission. We also welcome their direct submission to REBASE and have an interface specifically for this purpose (http://rebase.neb.com). Such data may be submitted prior to publication and a matching analysis will be performed upon receipt. The results can be kept private until the submitter is ready to publish. For individuals mainly interested in the genome sequence, this further analysis can add much value to the sequence by indicating which RM systems are present and might cause problems during transformation. Another new feature of REBASE is the identification of a Gold Standard Set of RM system components where each component having a known sequence has been experimentally characterized as having a defined restriction or modification activity. This Gold Standard Set then allows accurate and traceable propagation of annotation into putative genes present in newly sequenced genomes. In future, all RM system specificity predictions will contain traceable annotation back to this reference Gold Standard Set. From the REBASE website users have a variety of resources available that facilitate the analysis of sequence information, including tools for analyzing sequences (REBASE TOOLS), that allow restriction enzyme recognition sites to be found in submitted sequences (NEBCUTTER) and an implementation of BLAST to allow searching against all sequences in REBASE. Specialty lists of sequence data (REBASE LISTS) such as all Type I specificity subunits or the Gold Standard Set are available for download. In addition, an advanced search feature enables REBASE to be queried by users for specific combinations of information about RM system components, including searching by date of entry. Additional features are added regularly and the site should be consulted for a brief description of any new features as they appear.
  8 in total

1.  A nomenclature for restriction enzymes, DNA methyltransferases, homing endonucleases and their genes.

Authors:  Richard J Roberts; Marlene Belfort; Timothy Bestor; Ashok S Bhagwat; Thomas A Bickle; Jurate Bitinaite; Robert M Blumenthal; Sergey Kh Degtyarev; David T F Dryden; Kevin Dybvig; Keith Firman; Elizaveta S Gromova; Richard I Gumport; Stephen E Halford; Stanley Hattman; Joseph Heitman; David P Hornby; Arvydas Janulaitis; Albert Jeltsch; Jytte Josephsen; Antal Kiss; Todd R Klaenhammer; Ichizo Kobayashi; Huimin Kong; Detlev H Krüger; Sanford Lacks; Martin G Marinus; Michiko Miyahara; Richard D Morgan; Noreen E Murray; Valakunja Nagaraja; Andrzej Piekarowicz; Alfred Pingoud; Elisabeth Raleigh; Desirazu N Rao; Norbert Reich; Vladimir E Repin; Eric U Selker; Pang-Chui Shaw; Daniel C Stein; Barry L Stoddard; Waclaw Szybalski; Thomas A Trautner; James L Van Etten; Jorge M B Vitor; Geoffrey G Wilson; Shuang-yong Xu
Journal:  Nucleic Acids Res       Date:  2003-04-01       Impact factor: 16.971

Review 2.  Going beyond five bases in DNA sequencing.

Authors:  Jonas Korlach; Stephen W Turner
Journal:  Curr Opin Struct Biol       Date:  2012-05-09       Impact factor: 6.809

3.  Host specificity of DNA produced by Escherichia coli, X. In vitro restriction of phage fd replicative form.

Authors:  S Linn; W Arber
Journal:  Proc Natl Acad Sci U S A       Date:  1968-04       Impact factor: 11.205

4.  REBASE--a database for DNA restriction and modification: enzymes, genes and genomes.

Authors:  Richard J Roberts; Tamas Vincze; Janos Posfai; Dana Macelis
Journal:  Nucleic Acids Res       Date:  2009-10-21       Impact factor: 16.971

5.  Direct detection of DNA methylation during single-molecule, real-time sequencing.

Authors:  Benjamin A Flusberg; Dale R Webster; Jessica H Lee; Kevin J Travers; Eric C Olivares; Tyson A Clark; Jonas Korlach; Stephen W Turner
Journal:  Nat Methods       Date:  2010-05-09       Impact factor: 28.547

6.  Real-time DNA sequencing from single polymerase molecules.

Authors:  John Eid; Adrian Fehr; Jeremy Gray; Khai Luong; John Lyle; Geoff Otto; Paul Peluso; David Rank; Primo Baybayan; Brad Bettman; Arkadiusz Bibillo; Keith Bjornson; Bidhan Chaudhuri; Frederick Christians; Ronald Cicero; Sonya Clark; Ravindra Dalal; Alex Dewinter; John Dixon; Mathieu Foquet; Alfred Gaertner; Paul Hardenbol; Cheryl Heiner; Kevin Hester; David Holden; Gregory Kearns; Xiangxu Kong; Ronald Kuse; Yves Lacroix; Steven Lin; Paul Lundquist; Congcong Ma; Patrick Marks; Mark Maxham; Devon Murphy; Insil Park; Thang Pham; Michael Phillips; Joy Roy; Robert Sebra; Gene Shen; Jon Sorenson; Austin Tomaney; Kevin Travers; Mark Trulson; John Vieceli; Jeffrey Wegener; Dawn Wu; Alicia Yang; Denis Zaccarin; Peter Zhao; Frank Zhong; Jonas Korlach; Stephen Turner
Journal:  Science       Date:  2008-11-20       Impact factor: 47.728

7.  NCBI Reference Sequences (RefSeq): current status, new features and genome annotation policy.

Authors:  Kim D Pruitt; Tatiana Tatusova; Garth R Brown; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2011-11-24       Impact factor: 16.971

8.  GenBank.

Authors:  Dennis A Benson; Karen Clark; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; Eric W Sayers
Journal:  Nucleic Acids Res       Date:  2013-11-11       Impact factor: 16.971

  8 in total
  321 in total

1.  Convergence of DNA methylation and phosphorothioation epigenetics in bacterial genomes.

Authors:  Chao Chen; Lianrong Wang; Si Chen; Xiaolin Wu; Meijia Gu; Xi Chen; Susu Jiang; Yunfu Wang; Zixin Deng; Peter C Dedon; Shi Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-11       Impact factor: 11.205

2.  Bci528I, a new isoschizomer of EcoRI isolated from Bacillus circulans 528.

Authors:  Sung-Ryong Ra; Myong-Suk Kim; Chon-Il Paek; Yong-Chol Pak; Song-Hui Pak; Hyong-Bom Pak; Kum-Chol Ri
Journal:  Folia Microbiol (Praha)       Date:  2019-04-01       Impact factor: 2.099

3.  Designing Randomized DNA Sequences Free of Restriction Enzyme Recognition Sites.

Authors:  Audra J Storm; Paul A Jensen
Journal:  Biotechnol J       Date:  2017-10-16       Impact factor: 4.677

4.  Live attenuated enterovirus vaccine (OPV) is not associated with islet autoimmunity in children with genetic susceptibility to type 1 diabetes: prospective cohort study.

Authors:  Hanna Viskari; Sami Oikarinen; Sanna Hoppu; Tytti Vuorinen; Heini Huhtala; Jorma Toppari; Riitta Veijola; Jorma Ilonen; Mikael Knip; Heikki Hyöty
Journal:  Diabetologia       Date:  2017-09-02       Impact factor: 10.122

5.  Identification of DNA Methyltransferase Genes in Human Pathogenic Bacteria by Comparative Genomics.

Authors:  Aniel Jessica Leticia Brambila-Tapia; Augusto Cesar Poot-Hernández; Ernesto Perez-Rueda; Katya Rodríguez-Vázquez
Journal:  Indian J Microbiol       Date:  2015-12-31       Impact factor: 2.461

6.  Methylation-Induced Hypermutation in Natural Populations of Bacteria.

Authors:  Joshua L Cherry
Journal:  J Bacteriol       Date:  2018-11-26       Impact factor: 3.490

7.  Commensal Neisseria Kill Neisseria gonorrhoeae through a DNA-Dependent Mechanism.

Authors:  Won Jong Kim; Dustin Higashi; Maira Goytia; Maria A Rendón; Michelle Pilligua-Lucas; Matthew Bronnimann; Jeanine A McLean; Joseph Duncan; David Trees; Ann E Jerse; Magdalene So
Journal:  Cell Host Microbe       Date:  2019-08-01       Impact factor: 21.023

8.  A Molecular Biology Tool Kit for the Phototrophic Firmicute Heliobacterium modesticaldum.

Authors:  Patricia L Baker; Gregory S Orf; Zahid Khan; Levi Espinoza; Sabrina Leung; Kimberly Kevershan; Kevin E Redding
Journal:  Appl Environ Microbiol       Date:  2019-09-17       Impact factor: 4.792

9.  Impacts of horizontal gene transfer on the compact genome of the clavulanic acid-producing Streptomyces strain F613-1.

Authors:  Jun Li; Zhilong Zhao; Weihong Zhong; Chuanqing Zhong; Gongli Zong; Jiafang Fu; Guangxiang Cao
Journal:  3 Biotech       Date:  2018-11-08       Impact factor: 2.406

10.  The First Siphoviridae Family Bacteriophages Infecting Bordetella bronchiseptica Isolated from Environment.

Authors:  Aleksandra Petrovic; Rok Kostanjsek; Gabor Rakhely; Petar Knezevic
Journal:  Microb Ecol       Date:  2016-09-15       Impact factor: 4.552

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