Literature DB >> 29773631

Draft Genome Sequence of Staphylococcus microti DSM 22147, Isolated from the Common Vole.

XinJun Hu1, Yibing Shang1, Jing Guo2, Huping Zhang1, Yalin Liang1, Jifeng Sun1, Feng Yue3.   

Abstract

Staphylococcus microti DSM 22147 was isolated from viscera of common voles (Microtus arvalis Pallas) with generalized Brucella microti infection in the Czech Republic. To the best of our knowledge, the genome sequence of the species S. microti has not been previously studied. The complete genome sequence of strain DSM 22147 includes a genome of 2,381,859 bp (38.0% GC content) without any plasmids.
Copyright © 2018 Hu et al.

Entities:  

Year:  2018        PMID: 29773631      PMCID: PMC5958262          DOI: 10.1128/genomeA.00420-18

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Staphylococcus microti was first isolated in 2010 from internal organs of two common voles in South Moravia, Czech Republic (1). Another isolate was found on the skin of a small mammal (belonging to rodents or insectivores) living in northeast Poland (2). A case report describes the isolation of S. microti from milk samples collected from cows with subclinical (in most cases) and clinical mastitis (3). To date, very little is known about the occurrence and pathogenic potential of S. microti. It has been difficult so far to fully assess the real pathological and epidemiological significance of the microorganism. Here, we report the draft genome of S. microti strain DSM22147, the first genome of the species S. microti to be sequenced. Strain DSM 22147 was grown aerobically on Columbia blood agar base at 37°C for 24 h. Genomic DNA was extracted using the DNeasy blood and tissue kit (Qiagen, Germany). The quantity of DNA was measured with a Qubit fluorometer. Then, 10 μg of DNA was sent to Zhejiang University. One DNA library was generated (422-bp insert size, with the Illumina adapter at both ends), and then sequencing was performed by using an Illumina HiSeq 2000 genomic sequencer, with a 2 × 100 paired-end sequencing strategy. Clean filtered reads were assembled into scaffolds using Velvet version 1.2.07 (4), and then we used a PAGIT flow (5) to prolong the initial contigs and correct sequencing errors. Predicted genes were identified using Glimmer version 3.0 (6). tRNAscan-SE version 1.21 (7) was used to find tRNA genes, whereas ribosomal RNAs were found by using RNAmmer version 1.2 (8). To annotate predicted genes, we used HMMER version 3.0 (9). The KAAS server (10) was used to assign translated amino acids into KEGG Orthology with the single-directional best hit (SBH) method. Translated genes were aligned with the COG database using NCBI BLASTP. The draft genome sequence of strain DSM 22147 revealed a genome size of 2,381,859 bp and a G+C content of 38.0% (186 scaffolds with an N50 of 77,222 bp). These scaffolds contain 2,175 coding sequences (CDSs), 43 tRNAs, and 25 rRNAs. A total of 2,175 protein-coding genes were assigned as putative functional or hypothetical proteins, and 2,143 genes were categorized into cluster of orthologous groups (COG) functional groups. To the best of our knowledge, the genome of S. microti has not been previously reported. The complete genome sequence will help to advance our understanding of the biodiversity of Staphylococcus phages. Also, the current study will provide valuable information for further genomic study of phages.

Accession number(s).

This whole-genome shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession no. JXWY00000000.
  10 in total

1.  Species distribution of staphylococci from small wild mammals.

Authors:  Tomasz Hauschild; Piotr Sliżewski; Paweł Masiewicz
Journal:  Syst Appl Microbiol       Date:  2010-12       Impact factor: 4.022

2.  Identifying bacterial genes and endosymbiont DNA with Glimmer.

Authors:  Arthur L Delcher; Kirsten A Bratke; Edwin C Powers; Steven L Salzberg
Journal:  Bioinformatics       Date:  2007-01-19       Impact factor: 6.937

3.  Velvet: algorithms for de novo short read assembly using de Bruijn graphs.

Authors:  Daniel R Zerbino; Ewan Birney
Journal:  Genome Res       Date:  2008-03-18       Impact factor: 9.043

4.  tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

Authors:  T M Lowe; S R Eddy
Journal:  Nucleic Acids Res       Date:  1997-03-01       Impact factor: 16.971

5.  Isolation of Staphylococcus microti from milk of dairy cows with mastitis.

Authors:  Jarosław Król; Anna Wanecka; Jan Twardoń; Jacek Mrowiec; Agata Dropińska; Jacek Bania; Magdalena Podkowik; Agnieszka Korzeniowska-Kowal; Mariola Paściak
Journal:  Vet Microbiol       Date:  2015-11-25       Impact factor: 3.293

6.  A post-assembly genome-improvement toolkit (PAGIT) to obtain annotated genomes from contigs.

Authors:  Martin T Swain; Isheng J Tsai; Samual A Assefa; Chris Newbold; Matthew Berriman; Thomas D Otto
Journal:  Nat Protoc       Date:  2012-06-07       Impact factor: 13.491

7.  Staphylococcus microti sp. nov., isolated from the common vole (Microtus arvalis).

Authors:  Dana Nováková; Roman Pantůček; Zdeněk Hubálek; Enevold Falsen; Hans-Jürgen Busse; Peter Schumann; Ivo Sedláček
Journal:  Int J Syst Evol Microbiol       Date:  2009-08-04       Impact factor: 2.747

8.  Accelerated Profile HMM Searches.

Authors:  Sean R Eddy
Journal:  PLoS Comput Biol       Date:  2011-10-20       Impact factor: 4.475

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.  KAAS: an automatic genome annotation and pathway reconstruction server.

Authors:  Yuki Moriya; Masumi Itoh; Shujiro Okuda; Akiyasu C Yoshizawa; Minoru Kanehisa
Journal:  Nucleic Acids Res       Date:  2007-05-25       Impact factor: 16.971

  10 in total

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