Literature DB >> 27491996

Draft Genome Sequences of Two Avian Pathogenic Escherichia coli Strains of Clinical Importance, E44 and E51.

Troels Ronco1, Marc Stegger2, Paal S Andersen2, Karl Pedersen3, Lili Li4, Ida C N Thøfner5, Rikke H Olsen5.   

Abstract

Avian pathogenic Escherichia coli strains have remarkable impacts on animal welfare and the production economy in the poultry industry worldwide. Here, we present the draft genomes of two isolates from chickens (E44 and E51) obtained from field outbreaks and subsequently investigated for their potential for use in autogenous vaccines for broiler breeders.
Copyright © 2016 Ronco et al.

Entities:  

Year:  2016        PMID: 27491996      PMCID: PMC4974317          DOI: 10.1128/genomeA.00768-16

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Avian pathogenic Escherichia coli (APEC) causing colibacillosis in commercial poultry is an important bacterial pathogen (1). Whereas “colibacillosis” commonly refers to systemic or localized infection in broilers, ascending infections due to E. coli in breeders and layers may lead to infection of the reproductive tract (2), with significant impacts on animal welfare and the poultry production economy (3). Nevertheless, there are few commercially available vaccines for the protection of layers and broilers against E. coli infection. Consequently, the use of autogenous E. coli vaccines is a common practice (4). The aims of using these vaccines are two-fold: direct protection of the breeders and indirect protection of the offspring through the passage of maternally derived antibodies. In recent years, outbreaks due to E. coli in broiler breeders and broilers have increased in Scandinavian countries, expediting the introduction of a new autogenous E. coli vaccine program for broiler breeders. Here we present the draft genomes of two E. coli isolates (E44 and E51) included in this autogenous vaccine. Fragment libraries were constructed using a Nextera XT kit (Illumina) followed by 251-bp paired-end sequencing (MiSeq; Illumina) according to manufacturer’s instructions. Genomics Workbench 6.5 (CLC bio) was used for de novo assembly of the raw reads. It resulted in totals for size of assembly/N50 of 5,125,126 bp/83,776 bp and 5,178,940 bp/100,046 bp, total numbers of contigs of 195 and 217, and average coverages/G+C contents of 91×/50.5% and 58×/50.5% for E44 and E51, respectively. The contigs were annotated in the NCBI Prokaryotic Genome Automatic Annotation Pipeline (PGAAP) (5). In total, E44 had 5,171 putative genes, of which 4,868 were protein-coding sequences (CDSs), whereas E51 had 5,305 putative genes, including 4,986 protein CDSs. Various types of virulence genes that previously have been associated with APEC isolates (6) were extracted from NCBI and identified in the draft genomes using MyDbFinder 1.1 (https://cge.cbs.dtu.dk/services/MyDbFinder/). E44 carried fewer virulence genes (fimA, fimC, iroN, iss, iucA, iucD, ompA, and vat) than E51 (cvaB/C, cvi, fimA, fimC, fyuA, ibeA, iroN, irp2, iss iucA, iucD, and ompA). According to PathogenFinder (7), both E44 and E51 were predicted to be human pathogens, with probabilities of 93% and 94%, because they matched 533 and 856 pathogenic families, respectively. None of the strains carried any antibiotic resistance genes, as verified using ResFinder 2.1 (8). In silico typing using MLST 1.8 (9) and SerotypeFinder 1.1 (10) showed that the sequence types (STs)/serotypes of E44 and E51 were O78:H4/ST117 and O2:H5/ST140, respectively. Field production data from farms using the E44/E51-based vaccine, experimental data obtained from in vivo infection models, and further genome analyses could provide useful knowledge regarding development of new vaccines and insight into virulent properties.

Accession number(s).

The two whole-genome shotgun projects have been deposited in DDBJ/ENA/GenBank under the accession numbers LXWV00000000 (E44) and LYPJ00000000 (E51). The versions described in this paper are the first versions.
  10 in total

1.  Multilocus sequence typing of total-genome-sequenced bacteria.

Authors:  Mette V Larsen; Salvatore Cosentino; Simon Rasmussen; Carsten Friis; Henrik Hasman; Rasmus Lykke Marvig; Lars Jelsbak; Thomas Sicheritz-Pontén; David W Ussery; Frank M Aarestrup; Ole Lund
Journal:  J Clin Microbiol       Date:  2012-01-11       Impact factor: 5.948

2.  Toward an online repository of Standard Operating Procedures (SOPs) for (meta)genomic annotation.

Authors:  Samuel V Angiuoli; Aaron Gussman; William Klimke; Guy Cochrane; Dawn Field; George Garrity; Chinnappa D Kodira; Nikos Kyrpides; Ramana Madupu; Victor Markowitz; Tatiana Tatusova; Nick Thomson; Owen White
Journal:  OMICS       Date:  2008-06

3.  Rapid and Easy In Silico Serotyping of Escherichia coli Isolates by Use of Whole-Genome Sequencing Data.

Authors:  Katrine G Joensen; Anna M M Tetzschner; Atsushi Iguchi; Frank M Aarestrup; Flemming Scheutz
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4.  Avian pathogenic, uropathogenic, and newborn meningitis-causing Escherichia coli: how closely related are they?

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Journal:  Int J Med Microbiol       Date:  2007-03-19       Impact factor: 3.473

Review 5.  Avian pathogenic Escherichia coli (APEC).

Authors:  M Dho-Moulin; J M Fairbrother
Journal:  Vet Res       Date:  1999 Mar-Jun       Impact factor: 3.683

6.  The incidence and economic impact of the Escherichia coli peritonitis syndrome in Dutch poultry farming.

Authors:  W J M Landman; J H H van Eck
Journal:  Avian Pathol       Date:  2015-10       Impact factor: 3.378

7.  Experimental induced avian E. coli salpingitis: Significant impact of strain and host factors on the clinical and pathological outcome.

Authors:  Rikke Heidemann Olsen; Ida Cecilie Naundrup Thøfner; Susanne Elisabeth Pors; Teresa Pires Dos Santos; Jens Peter Christensen
Journal:  Vet Microbiol       Date:  2016-04-11       Impact factor: 3.293

8.  Molecular typing of avian pathogenic Escherichia coli colonies originating from outbreaks of E. coli peritonitis syndrome in chicken flocks.

Authors:  W J M Landman; G J Buter; R Dijkman; J H H van Eck
Journal:  Avian Pathol       Date:  2014-07-17       Impact factor: 3.378

9.  Identification of acquired antimicrobial resistance genes.

Authors:  Ea Zankari; Henrik Hasman; Salvatore Cosentino; Martin Vestergaard; Simon Rasmussen; Ole Lund; Frank M Aarestrup; Mette Voldby Larsen
Journal:  J Antimicrob Chemother       Date:  2012-07-10       Impact factor: 5.790

10.  PathogenFinder--distinguishing friend from foe using bacterial whole genome sequence data.

Authors:  Salvatore Cosentino; Mette Voldby Larsen; Frank Møller Aarestrup; Ole Lund
Journal:  PLoS One       Date:  2013-10-28       Impact factor: 3.240

  10 in total
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2.  Spread of avian pathogenic Escherichia coli ST117 O78:H4 in Nordic broiler production.

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3.  In silico Analysis of Virulence Associated Genes in Genomes of Escherichia Coli Strains Causing Colibacillosis in Poultry.

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