Literature DB >> 25395628

Genome Sequence of Corynebacterium pseudotuberculosis MB20 bv. equi Isolated from a Pectoral Abscess of an Oldenburg Horse in California.

Rafael A Baraúna1, Luís C Guimarães2, Adonney A O Veras3, Pablo H C G de Sá3, Diego A Graças3, Kenny C Pinheiro3, Andreia S S Silva3, Edson L Folador2, Leandro J Benevides2, Marcus V C Viana2, Adriana R Carneiro3, Maria P C Schneider3, Sharon J Spier4, Judy M Edman4, Rommel T J Ramos3, Vasco Azevedo2, Artur Silva3.   

Abstract

The genome of Corynebacterium pseudotuberculosis MB20 bv. equi was sequenced using the Ion Personal Genome Machine (PGM) platform, and showed a size of 2,363,089 bp, with 2,365 coding sequences and a GC content of 52.1%. These results will serve as a basis for further studies on the pathogenicity of C. pseudotuberculosis bv. equi.
Copyright © 2014 Baraúna et al.

Entities:  

Year:  2014        PMID: 25395628      PMCID: PMC4241654          DOI: 10.1128/genomeA.00977-14

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Recent advances have been made in the genomic analysis of Corynebacterium pseudotuberculosis, a species of veterinary and biotechnological interest. Molecular diagnosis of several diseases caused by this species was achieved using multiplex PCR (PCR) (1), and a description of its pangenome was published using 15 strains of C. pseudotuberculosis bv. ovis and equi (2). C. pseudotuberculosis bv. equi comprises strains that infect horses and cattle and cause infection of cutaneous lymphatic vessels, termed ulcerative lymphangitis, which is characterized by the development of multiple waxy ulcerative lesions. The incidence of this disease in horses has been reported in the literature since the 1910s (3) and remains prevalent in animals worldwide (4, 5); moreover, this infection is likely underreported and has been characterized as a neglected zoonosis (6). The host-pathogen interaction in this disease has been studied using omics approaches (7). For instance, the differential gene expression of a C. pseudotuberculosis bv. ovis strain was analyzed using RNA-seq, and genes involved in the molecular responses of the bacterium to different stresses during infection were identified (8). A study of reverse vaccinology reported by Soares et al. (9) identified 49 possible antigens from the genome of the C. pseudotuberculosis bv. equi strain 258 that may serve as targets for the development of effective vaccines. In addition, a new C. pseudotuberculosis bv. equi strain was isolated and sequenced, which will aid in future broader studies. These new data combined with those already reported will serve as a basis for the development of studies aimed at a better understanding of the pathogenic potential of C. pseudotuberculosis bv. equi. The MB20 strain was isolated from a pectoral abscess of a 4-year-old horse of the breed Oldenburg, raised in the city of Vacaville, CA, USA. Genomic DNA was sequenced from a fragment library on a 318 chip of the Ion Torrent Personal Genome Machine (PGM) platform (Life Technologies). A total of 2,331,864 reads were generated with an average length of 420 bp, which were used for genome assembly using the software Mira (10). The contigs generated with Mira were analyzed using the SeqMan Pro tool of the software Lasergene 11 Core Suite (DNASTAR) to remove redundant sequences. This approach resulted in 3 contigs, which were sorted with the Artemis Comparison tool (11) using the genome of C. pseudotuberculosis 316 as a reference. The scaffold produced at the end of the assembly was 2,363,089 bp in size and underwent automatic annotation using Rapid Annotation using Subsystem Technology (RAST) (12). As a result, 2,365 coding sequences (CDSs), 11 rRNA genes, 51 tRNA genes and a 52.1% GC content were identified. Of the 2,365 CDSs, 790 (33.4%) were classified as hypothetical proteins.

Nucleotide sequence accession numbers.

The genomic sequence obtained in this study was deposited in the DDBJ/EMBL/GenBank under accession number JPUV00000000. The version described in this paper is version JPUV01000000.
  10 in total

1.  Using the miraEST assembler for reliable and automated mRNA transcript assembly and SNP detection in sequenced ESTs.

Authors:  Bastien Chevreux; Thomas Pfisterer; Bernd Drescher; Albert J Driesel; Werner E G Müller; Thomas Wetter; Sándor Suhai
Journal:  Genome Res       Date:  2004-05-12       Impact factor: 9.043

2.  Corynebacterium pseudotuberculosis necrotizing lymphadenitis in a twelve-year-old patient.

Authors:  Olivier F Join-Lambert; Marie Ouache; Danielle Canioni; Jean-Luc Beretti; Stéphane Blanche; Patrick Berche; Samer Kayal
Journal:  Pediatr Infect Dis J       Date:  2006-09       Impact factor: 2.129

3.  ACT: the Artemis Comparison Tool.

Authors:  Tim J Carver; Kim M Rutherford; Matthew Berriman; Marie-Adele Rajandream; Barclay G Barrell; Julian Parkhill
Journal:  Bioinformatics       Date:  2005-06-23       Impact factor: 6.937

4.  Multiplex PCR assay for identification of Corynebacterium pseudotuberculosis from pure cultures and for rapid detection of this pathogen in clinical samples.

Authors:  Luis G C Pacheco; Roberta R Pena; Thiago L P Castro; Fernanda A Dorella; Robson C Bahia; Renato Carminati; Marcílio N L Frota; Sérgio C Oliveira; Roberto Meyer; Francisco S F Alves; Anderson Miyoshi; Vasco Azevedo
Journal:  J Med Microbiol       Date:  2007-04       Impact factor: 2.472

5.  Use of a real-time polymerase chain reaction-based fluorogenic 5' nuclease assay to evaluate insect vectors of Corynebacterium pseudotuberculosis infections in horses.

Authors:  Sharon J Spier; Christian M Leutenegger; Scott P Carroll; Jenella E Loye; Jeannine Berger Pusterla; Tim E Carpenter; Judy E Mihalyi; John E Madigan
Journal:  Am J Vet Res       Date:  2004-06       Impact factor: 1.156

6.  Genome sequence of Corynebacterium pseudotuberculosis biovar equi strain 258 and prediction of antigenic targets to improve biotechnological vaccine production.

Authors:  Siomar C Soares; Eva Trost; Rommel T J Ramos; Adriana R Carneiro; Anderson R Santos; Anne C Pinto; Eudes Barbosa; Flávia Aburjaile; Amjad Ali; Carlos A A Diniz; Syed S Hassan; Karina Fiaux; Luis C Guimarães; Syeda M Bakhtiar; Ulisses Pereira; Sintia S Almeida; Vinícius A C Abreu; Flávia S Rocha; Fernanda A Dorella; Anderson Miyoshi; Artur Silva; Vasco Azevedo; Andreas Tauch
Journal:  J Biotechnol       Date:  2012-11-29       Impact factor: 3.307

Review 7.  Progression of 'OMICS' methodologies for understanding the pathogenicity of Corynebacterium pseudotuberculosis: the Brazilian experience.

Authors:  Fernanda A Dorella; Alfonso Gala-Garcia; Anne C Pinto; Boutros Sarrouh; Camila A Antunes; Dayana Ribeiro; Flavia F Aburjaile; Karina K Fiaux; Luis C Guimarães; Núbia Seyffert; Rachid A El-Aouar; Renata Silva; Syed S Hassan; Thiago L P Castro; Wanderson S Marques; Rommel Ramos; Adriana Carneiro; Pablo de Sá; Anderson Miyoshi; Vasco Azevedo; Artur Silva
Journal:  Comput Struct Biotechnol J       Date:  2013-10-13       Impact factor: 7.271

8.  Differential transcriptional profile of Corynebacterium pseudotuberculosis in response to abiotic stresses.

Authors:  Anne Cybelle Pinto; Pablo Henrique Caracciolo Gomes de Sá; Rommel T J Ramos; Silvanira Barbosa; Hivana P Melo Barbosa; Adriana Carneiro Ribeiro; Wanderson Marques Silva; Flávia Souza Rocha; Mariana Passos Santana; Thiago Luiz de Paula Castro; Anderson Miyoshi; Maria P C Schneider; Artur Silva; Vasco Azevedo
Journal:  BMC Genomics       Date:  2014-01-09       Impact factor: 3.969

9.  The pan-genome of the animal pathogen Corynebacterium pseudotuberculosis reveals differences in genome plasticity between the biovar ovis and equi strains.

Authors:  Siomar C Soares; Artur Silva; Eva Trost; Jochen Blom; Rommel Ramos; Adriana Carneiro; Amjad Ali; Anderson R Santos; Anne C Pinto; Carlos Diniz; Eudes G V Barbosa; Fernanda A Dorella; Flávia Aburjaile; Flávia S Rocha; Karina K F Nascimento; Luís C Guimarães; Sintia Almeida; Syed S Hassan; Syeda M Bakhtiar; Ulisses P Pereira; Vinicius A C Abreu; Maria P C Schneider; Anderson Miyoshi; Andreas Tauch; Vasco Azevedo
Journal:  PLoS One       Date:  2013-01-14       Impact factor: 3.240

10.  The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST).

Authors:  Ross Overbeek; Robert Olson; Gordon D Pusch; Gary J Olsen; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Bruce Parrello; Maulik Shukla; Veronika Vonstein; Alice R Wattam; Fangfang Xia; Rick Stevens
Journal:  Nucleic Acids Res       Date:  2013-11-29       Impact factor: 16.971

  10 in total
  4 in total

1.  Genomic analysis of four strains of Corynebacterium pseudotuberculosis bv. Equi isolated from horses showing distinct signs of infection.

Authors:  Rafael A Baraúna; Rommel T J Ramos; Adonney A O Veras; Pablo H C G de Sá; Luís C Guimarães; Diego A das Graças; Adriana R Carneiro; Judy M Edman; Sharon J Spier; Vasco Azevedo; Artur Silva
Journal:  Stand Genomic Sci       Date:  2017-01-31

2.  Exploration of Nitrate Reductase Metabolic Pathway in Corynebacterium pseudotuberculosis.

Authors:  Sintia Almeida; Cassiana Sousa; Vinícius Abreu; Carlos Diniz; Elaine M S Dorneles; Andrey P Lage; Debmalya Barh; Vasco Azevedo
Journal:  Int J Genomics       Date:  2017-02-20       Impact factor: 2.326

3.  Assessing the Genotypic Differences between Strains of Corynebacterium pseudotuberculosis biovar equi through Comparative Genomics.

Authors:  Rafael A Baraúna; Rommel T J Ramos; Adonney A O Veras; Kenny C Pinheiro; Leandro J Benevides; Marcus V C Viana; Luís C Guimarães; Judy M Edman; Sharon J Spier; Vasco Azevedo; Artur Silva
Journal:  PLoS One       Date:  2017-01-26       Impact factor: 3.240

4.  Whole-genome optical mapping reveals a mis-assembly between two rRNA operons of Corynebacterium pseudotuberculosis strain 1002.

Authors:  Diego César Batista Mariano; Thiago de Jesus Sousa; Felipe Luiz Pereira; Flávia Aburjaile; Debmalya Barh; Flávia Rocha; Anne Cybelle Pinto; Syed Shah Hassan; Tessália Diniz Luerce Saraiva; Fernanda Alves Dorella; Alex Fiorini de Carvalho; Carlos Augusto Gomes Leal; Henrique César Pereira Figueiredo; Artur Silva; Rommel Thiago Jucá Ramos; Vasco Ariston Carvalho Azevedo
Journal:  BMC Genomics       Date:  2016-04-30       Impact factor: 3.969

  4 in total

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