Literature DB >> 24092782

Genome Sequence of Streptococcus parauberis Strain KCTC11980, Isolated from Diseased Paralichthys olivaceus.

Myoung Ae Park1, Mun Gyeong Kwon, Jee Youn Hwang, Sung Hee Jung, Dong-Wook Kim, Jin-Young Park, Ji-Sun Kim, Yun-Jeong Na, Min-Young Kim, Dae-Soo Kim, Sung-Hwa Chae, Jung Soo Seo.   

Abstract

Streptococcus parauberis is a coccoid, nonmotile, alpha-hemolytic, Gram-positive bacterium of the Streptococcaceae family. Streptococcus parauberis strain KCTC11980 was isolated from the kidney of a diseased olive flounder collected from an aquaculture farm on Jeju Island in 2010. The 2.12-Mb genome sequence consists of 44 large contigs in 16 scaffolds and contains 2,214 predicted protein-coding genes, with a G+C content of 35.4%.

Entities:  

Year:  2013        PMID: 24092782      PMCID: PMC3790086          DOI: 10.1128/genomeA.00780-13

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Streptococcosis mediated by streptococci, such as Streptococcus iniae and S. parauberis, has been a major cause of mass mortality in marine aquaculture systems (1–3). Among these species, Streptococcus parauberis was first described as the etiologic agent of bovine mastitis (4) and later found to cause streptococcosis in cultured turbot (Scophthalmus maximus) in Spain (5, 6). Recently, a streptococcal infection caused by Streptococcus parauberis has increased in frequency in the olive flounder (Paralichthys olivaceus) aquaculture industry in South Korea (7, 8). S. parauberis is a coccoid, nonmotile, alpha-hemolytic, Gram-positive bacterium of the Streptococcaceae family. S. parauberis and S. uberis are common agents of bovine mastitis (4). Genomic DNA was extracted from cultured bacterial isolates using the alkaline lysis method (9). We sequenced the genome of S. parauberis because it had not been sequenced at the time our sequencing project began, according to the Genomes OnLine Database (GOLD) (10). We report the genome sequence of S. parauberis strain KCTC1980, obtained using a whole-genome shotgun strategy (11) with a Roche 454 GS (FLX titanium) pyrosequencing system (775,572 reads, totaling ~113.6 Mb; ~28.9-fold coverage of the genome). Pyrosequencing was processed using Roche’s software, according to the manufacturer’s instructions. All of the paired reads were assembled using the Newbler assembler 2.6 (454 Life Science), which generated 66 contigs (GenBank accession no. BANN01000001 through BANN01000066), and the assembly falls into 16 scaffolds (accession no. DF266806 through DF266821). The predicted proteins were annotated using the Basic Local Alignment Search Tool (BLAST) (12) and the Rapid Annotation using Subsystem Technology (RAST) server (13). In addition, open reading frame (ORF) prediction was performed using CD-HIT software, with which contigs were searched against the Glimmer 3.02 modeling software package and GeneMark version 2.5 (14), tRNAscan-SE 1.21 (15), RNAmmer 1.2 (16), and Clusters of Orthologous Groups (COG) (17) databases to annotate the gene descriptions. The S. parauberis draft genome includes 2,127,951 bp and is composed of 2,214 predicted coding sequences (CDS), with a G+C content of 35.4%. The genome contained representatives of 311 subsystems, and we used this information to reconstruct the metabolic network (determined using the RAST server). A distinguishing subsystem feature was the absence of genes corresponding to a conserved domain protein, ABC transporter, ATP-binding protein, membrane protein, and transcriptional regulator. The CDS annotated by the COG database were classified into eight major categories (R, G, S, K, J, E, L, and P) from among the 42 COG groups. The enzymes identified included pantothenate kinase (EC 2.7.1.33), tRNA pseudouridine synthase A (EC 5.4.99.12), and DNA polymerase III subunit delta (EC 2.7.7.7). More detailed analysis of this genome and a comparative analysis with other S. parauberis genomes may well identify other genes upon finalization of the genome.

Nucleotide sequence accession numbers.

The draft genome sequence of S. parauberis KCTC11980 is available in GenBank under the accession number BANN00000000 (DF266806 through DF266821). The version described in this paper is version BANN01000000.
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Authors:  Arthur L Delcher; Kirsten A Bratke; Edwin C Powers; Steven L Salzberg
Journal:  Bioinformatics       Date:  2007-01-19       Impact factor: 6.937

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Journal:  Nucleic Acids Res       Date:  1979-11-24       Impact factor: 16.971

4.  Molecular taxonomic studies on Streptococcus uberis types I and II. Description of Streptococcus parauberis sp. nov.

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5.  Whole-genome random sequencing and assembly of Haemophilus influenzae Rd.

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6.  Emerging pathologies in aquaculture: effects on production and food safety.

Authors:  C Ghittino; M Latini; F Agnetti; C Panzieri; L Lauro; R Ciappelloni; G Petracca
Journal:  Vet Res Commun       Date:  2003-09       Impact factor: 2.459

7.  The Genomes On Line Database (GOLD) in 2009: status of genomic and metagenomic projects and their associated metadata.

Authors:  Konstantinos Liolios; I-Min A Chen; Konstantinos Mavromatis; Nektarios Tavernarakis; Philip Hugenholtz; Victor M Markowitz; Nikos C Kyrpides
Journal:  Nucleic Acids Res       Date:  2009-11-13       Impact factor: 16.971

8.  Isolation and characterization of Streptococcus sp. from diseased flounder (Paralichthys olivaceus) in Jeju Island.

Authors:  Gun Wook Baeck; Ji Hyung Kim; Dennis Kaw Gomez; Se Chang Park
Journal:  J Vet Sci       Date:  2006-03       Impact factor: 1.603

9.  RNAmmer: consistent and rapid annotation of ribosomal RNA genes.

Authors:  Karin Lagesen; Peter Hallin; Einar Andreas Rødland; Hans-Henrik Staerfeldt; Torbjørn Rognes; David W Ussery
Journal:  Nucleic Acids Res       Date:  2007-04-22       Impact factor: 16.971

10.  The RAST Server: rapid annotations using subsystems technology.

Authors:  Ramy K Aziz; Daniela Bartels; Aaron A Best; Matthew DeJongh; Terrence Disz; Robert A Edwards; Kevin Formsma; Svetlana Gerdes; Elizabeth M Glass; Michael Kubal; Folker Meyer; Gary J Olsen; Robert Olson; Andrei L Osterman; Ross A Overbeek; Leslie K McNeil; Daniel Paarmann; Tobias Paczian; Bruce Parrello; Gordon D Pusch; Claudia Reich; Rick Stevens; Olga Vassieva; Veronika Vonstein; Andreas Wilke; Olga Zagnitko
Journal:  BMC Genomics       Date:  2008-02-08       Impact factor: 3.969

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Journal:  Appl Microbiol Biotechnol       Date:  2020-05-21       Impact factor: 4.813

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