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      PLSDB: a resource of complete bacterial plasmids

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      Nucleic Acids Research
      Oxford University Press

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          Abstract

          The study of bacterial isolates or communities requires the analysis of the therein included plasmids in order to provide an extensive characterization of the organisms. Plasmids harboring resistance and virulence factors are of especial interest as they contribute to the dissemination of antibiotic resistance. As the number of newly sequenced bacterial genomes is growing a comprehensive resource is required which will allow to browse and filter the available plasmids, and to perform sequence analyses. Here, we present PLSDB, a resource containing 13 789 plasmid records collected from the NCBI nucleotide database. The web server provides an interactive view of all obtained plasmids with additional meta information such as sequence characteristics, sample-related information and taxonomy. Moreover, nucleotide sequence data can be uploaded to search for short nucleotide sequences (e.g. specific genes) in the plasmids, to compare a given plasmid to the records in the collection or to determine whether a sample contains one or multiple of the known plasmids (containment analysis). The resource is freely accessible under https://ccb-microbe.cs.uni-saarland.de/plsdb/.

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          Ribosomal multilocus sequence typing: universal characterization of bacteria from domain to strain

          No single genealogical reconstruction or typing method currently encompasses all levels of bacterial diversity, from domain to strain. We propose ribosomal multilocus sequence typing (rMLST), an approach which indexes variation of the 53 genes encoding the bacterial ribosome protein subunits (rps genes), as a means of integrating microbial genealogy and typing. As with multilocus sequence typing (MLST), rMLST employs curated reference sequences to identify gene variants efficiently and rapidly. The rps loci are ideal targets for a universal characterization scheme as they are: (i) present in all bacteria; (ii) distributed around the chromosome; and (iii) encode proteins which are under stabilizing selection for functional conservation. Collectively, the rps loci exhibit variation that resolves bacteria into groups at all taxonomic and most typing levels, providing significantly more resolution than 16S small subunit rRNA gene phylogenies. A web-accessible expandable database, comprising whole-genome data from more than 1900 bacterial isolates, including 28 draft genomes assembled de novo from the European Bioinformatics Institute (EBI) sequence read archive, has been assembled. The rps gene variation catalogued in this database permits rapid and computationally non-intensive identification of the phylogenetic position of any bacterial sequence at the domain, phylum, class, order, family, genus, species and strain levels. The groupings generated with rMLST data are consistent with current nomenclature schemes and independent of the clustering algorithm used. This approach is applicable to the other domains of life, potentially providing a rational and universal approach to the classification of life that is based on one of its fundamental features, the translation mechanism.
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            MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies

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              Replicon sequence typing of IncF plasmids carrying virulence and resistance determinants.

              IncF plasmids are frequently encountered in clinical enterobacterial strains associated with the dissemination of relevant antimicrobial resistance and virulence genes. These plasmids are usually heterogeneous in size and carry multiple replicons, and technical difficulties can impair the comparison and detection of related plasmids by restriction fragment length polymorphism analysis. We devised a rapid sequence-based typing scheme to categorize the members of this plasmid family into homogeneous groups. We compared the available IncF replicon sequences, identifying the combination of the different IncF replicon alleles as the discriminating characteristic of these plasmid scaffolds. An IncF typing method based on PCR amplification and sequence typing of the IncF replicons was devised. A collection of IncF plasmids carrying resistance and/or virulence genes, identified in strains from different sources and geographical origins, was tested with this typing system. We devised a replicon sequence typing (RST) scheme discriminating IncF plasmid variants. This system was tested on the collection of IncF plasmids, demonstrating that it was useful for the discrimination of plasmids carrying the same resistance gene (i.e. the bla(CTX-M-15) gene), but also recognized strictly related virulence plasmids (i.e. IncFIme plasmids). The PCR-based replicon typing (PBRT) system was also updated by including new primer pairs to allow the identification of the Salmonella, Klebsiella and Yersinia IncF plasmids. The ability to recognize and sub-categorize IncF plasmids by RST in homogeneous groups on the basis of their phylogenetic relatedness can be helpful in analysing their distribution in nature and discovering their evolutionary origin.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 January 2019
                31 October 2018
                31 October 2018
                : 47
                : Database issue , Database issue
                : D195-D202
                Affiliations
                Chair for Clinical Bioinformatics, Saarland University, Campus Building E2.1, 66123 Saarbruecken, Germany
                Author notes
                To whom correspondence should be addressed. Tel: +49 681 302 68612; Fax: +49 681 302 58094; Email: valentina.galata@ 123456uni-saarland.de . Correspondence may also be addressed to Andreas Keller. Tel: +49 681 302 68611; Fax: +49 681 302 58094; Email: andreas.keller@ 123456ccb.uni-saarland.de
                Author information
                http://orcid.org/0000-0002-5361-0895
                http://orcid.org/0000-0002-5361-0895
                Article
                gky1050
                10.1093/nar/gky1050
                6323999
                30380090
                3be25821-b4ee-47f4-b1bc-5d2d8a97d9d5
                © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 17 October 2018
                : 15 October 2018
                : 10 August 2018
                Page count
                Pages: 8
                Funding
                Funded by: Saarland University 10.13039/501100005690
                Categories
                Database Issue

                Genetics
                Genetics

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