Literature DB >> 28698737

Draft Genome Sequence of a Virulent Strain of Pasteurella Multocida Isolated From Alpaca.

Raquel Enma Hurtado1, Flavia Aburjaile2, Diego Mariano2, Marcus Vinicius Canário2, Leandro Benevides2, Daniel Antonio Fernandez1, Nataly Olivia Allasi1, Rocio Rimac1, Julio Eduardo Juscamayta1, Jorge Enrique Maximiliano1, Raul Hector Rosadio1, Vasco Azevedo2, Lenin Maturrano1.   

Abstract

Pasteurella multocida is one of the most frequently isolated bacteria in acute pneumonia cases, being responsible for high mortality rates in Peruvian young alpacas, with consequent social and economic costs. Here we report the genome sequence of P. multocida strain UNMSM, isolated from the lung of an alpaca diagnosed with pneumonia, in Peru. The genome consists of 2,439,814 base pairs assembled into 82 contigs and 2,252 protein encoding genes, revealing the presence of known virulence-associated genes (ompH, ompA, tonB, tbpA, nanA, nanB, nanH, sodA, sodC, plpB and toxA). Further analysis could provide insights about bacterial pathogenesis and control strategies of this disease in Peruvian alpacas.

Entities:  

Keywords:  Alpaca; genome; pasteurellosis; pneumonia.

Year:  2017        PMID: 28698737      PMCID: PMC5504826          DOI: 10.7150/jgen.19297

Source DB:  PubMed          Journal:  J Genomics


Introduction

Pasteurella multocida is a commensal bacteria from the upper respiratory tract 1, which affects a wide range of hosts 2, 3. This bacteria is the primary agent of many infections such as; avian cholera, hemorrhagic septicemia in ungulates, atrophic rhinitis in pigs and snuffles in rabbits 3, and acts as a secondary agent in infectious pneumonia, including cases of acute or chronic pneumonia in different hosts such as swine, calves, sheep, bovine and alpaca 3-5. In Peru, alpaca raising represents an important economic activity for the High Andean population. However, acute pneumonia causes high mortality rates in young alpacas, in which P. multocida has been principally isolated 6. P. multocida has a large number of virulence factors that play a role in pathogenesis, including capsule, lipopolysaccharide, fimbriae, adhesins, toxins, outer membrane proteins, iron regulated and iron acquisition proteins, acquisition proteins, hyaluronidase and sialidase 6. In this study, we announce the draft genome of P. multocida strain UNMSM isolated from an alpaca lung affected with pneumonia. Pasteurella multocida strain UNMSM is a gram negative, short rod shaped bacteria, oxidase and catalase positive and nonhemolytic, with approximate measures of 0.3 - 0.6 µm in width and 0.8 - 2.0 µm in length (Figure 1). Genome sequencing was performed using Illumina Hiseq sequencing platform. The paired-end library contained inserts of an average size of 100 bp. De novo assembly was performed using Edena v3.131028 and SIMBA v1.4 software 7, which produced 82 contigs, with a N50 value of 70,838, 2.4 Mb of size and mean depth coverage ~400-fold. The genome was annotated using the Rapid Annotations using Subsystems Technology (RAST) 8, following by manual curation of the predicted CDSs (Coding Sequences). The genome presents GC content around 40.2%. A total of 2,434 genes were predicted, of which 2,252 were protein-coding genes, eight rRNA genes (four 16S rRNA, one 23S rRNA and three 5S rRNA genes) and 55 were tRNA genes. In table 1, a few summary statistics of the genome are presented.
Figure 1

Scanning electron micrograph of cells of P. multocida strain UNMSM. The scale bar represents 0.6 µm.

Table 1

Genome statistics of P. multocida strain UNMSM.

AttributeValue% of Total*
Genome size (bp)2,439,814100.00%
DNA coding region(bp)2,066,31584.69%
DNA G+C content (bp)979,69440.15%
Total genes2,434100.00%
Pseudogenes1154.72%
Genes assigned to COGs1,92178.92%
Genes with Pfam domains1,18348.60%
Genes with signal peptides1737.10%
Genes with transmembrane helices49020.13%
CRISPR repeats1-

* The total is based on either the size of the genome in base pairs or the total number of genes in the annotated genome.

The Cluster of Orthologous Genes (COG) 8 assignments were done using CGView Comparison Tool (CCT), and the presence of protein domains was predicted by Pfam. The signal peptides were identified with the SignalP 4.0 software 9, transmembrane helices were classified by method of Krogh and collaborators method 10, and the CRISPR motif was detected with a web tool described by Grissa and collaborators 11 (Table 1). The functional analysis obtained from Rapid Annotation using Subsystem Technology (RAST) revealed 395 collections of functionally related protein families (Figure 2). The genome has 54 genes responsible for iron acquisition and metabolism; 42 genes involved in virulence, disease and defense; 74 genes involved in membrane transport, and 75 genes related to phages, prophages and transposable elements. Analysis of genes showed that this strain belongs to capsular type A, and the presence virulence associated genes, including outer membrane proteins as ompH (UR07_03150), and ompA (UR07_05380); hyaluronidases as nanA (UR07_06210), nanB (UR07_07035) and nanH (UR07_07095); iron acquisition related genes, tonB (UR07_07610) and tbpA (UR07_03090); genes involved in sialic acid metabolism as sodA (UR07_00380) and sodC (UR07_00680); a lipoprotein, plpB (UR07_09985) and toxA (UR07_03905), a dermonecrotic toxin 5-12.
Figure 2

The overview of subsystem category coverage P. multocida UNMSM genome based on RAST server.

This work provides a better understanding of P. multocida UNMSM, the first genome isolated from alpaca. Future studies in vitro and in vivo associated with virulence genes predicted in P. multocida, will improve understanding of their pathogenicity and provide an assessment of new targets for the use of vaccines and drugs, which may be important for the control of pneumonia case numbers in alpacas. The genome projects of P. multocida strain UNMSM have been deposited in GenBank under the following accession numbers, LGRE00000000.
  6 in total

1.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Authors:  A Krogh; B Larsson; G von Heijne; E L Sonnhammer
Journal:  J Mol Biol       Date:  2001-01-19       Impact factor: 5.469

2.  SignalP 4.0: discriminating signal peptides from transmembrane regions.

Authors:  Thomas Nordahl Petersen; Søren Brunak; Gunnar von Heijne; Henrik Nielsen
Journal:  Nat Methods       Date:  2011-09-29       Impact factor: 28.547

3.  De novo bacterial genome sequencing: millions of very short reads assembled on a desktop computer.

Authors:  David Hernandez; Patrice François; Laurent Farinelli; Magne Osterås; Jacques Schrenzel
Journal:  Genome Res       Date:  2008-03-10       Impact factor: 9.043

4.  Virulence genes and antimicrobial susceptibility in Pasteurella multocida isolates from calves.

Authors:  K Katsuda; K Hoshinoo; Y Ueno; M Kohmoto; O Mikami
Journal:  Vet Microbiol       Date:  2013-10-03       Impact factor: 3.293

5.  Comparing thousands of circular genomes using the CGView Comparison Tool.

Authors:  Jason R Grant; Adriano S Arantes; Paul Stothard
Journal:  BMC Genomics       Date:  2012-05-23       Impact factor: 3.969

6.  CRISPRFinder: a web tool to identify clustered regularly interspaced short palindromic repeats.

Authors:  Ibtissem Grissa; Gilles Vergnaud; Christine Pourcel
Journal:  Nucleic Acids Res       Date:  2007-05-30       Impact factor: 16.971

  6 in total

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