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  • Research Article
  • Open Access

Spread of avian pathogenic Escherichia coli ST117 O78:H4 in Nordic broiler production

  • 1Email authorView ORCID ID profile,
  • 2,
  • 3,
  • 4,
  • 4,
  • 5,
  • 2,
  • 1,
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  • 1
BMC Genomics201718:13

https://doi.org/10.1186/s12864-016-3415-6

  • Received: 14 September 2016
  • Accepted: 12 December 2016
  • Published:

Abstract

Background

Escherichia coli infections known as colibacillosis constitute a considerable challenge to poultry farmers worldwide, in terms of decreased animal welfare and production economy. Colibacillosis is caused by avian pathogenic E. coli (APEC). APEC strains are extraintestinal pathogenic E. coli and have in general been characterized as being a genetically diverse population. In the Nordic countries, poultry farmers depend on import of Swedish broiler breeders which are part of a breeding pyramid. During 2014 to 2016, an increased occurrence of colibacillosis on Nordic broiler chicken farms was reported. The aim of this study was to investigate the genetic diversity among E. coli isolates collected on poultry farms with colibacillosis issues, using whole genome sequencing.

Methods

Hundred and fourteen bacterial isolates from both broilers and broiler breeders were whole genome sequenced. The majority of isolates were collected from poultry with colibacillosis on Nordic farms. Subsequently, comparative genomic analyses were carried out. This included in silico typing (sero- and multi-locus sequence typing), identification of virulence and resistance genes and phylogenetic analyses based on single nucleotide polymorphisms.

Results

In general, the characterized poultry isolates constituted a genetically diverse population. However, the phylogenetic analyses revealed a major clade of 47 closely related ST117 O78:H4 isolates. The isolates in this clade were collected from broiler chickens and breeders with colibacillosis in multiple Nordic countries. They clustered together with a human ST117 isolate and all carried virulence genes that previously have been associated with human uropathogenic E. coli.

Conclusions

The investigation revealed a lineage of ST117 O78:H4 isolates collected in different Nordic countries from diseased broilers and breeders. The data indicate that the closely related ST117 O78:H4 strains have been transferred vertically through the broiler breeding pyramid into distantly located farms across the Nordic countries.

Keywords

  • APEC
  • Colibacillosis
  • Comparative genomics
  • Phylogenetic analysis
  • Virulence factors

Background

Escherichia coli infections in poultry constitute a severe animal health issue and a considerable burden to farmers worldwide, in terms of decreased animal welfare and production economy [1, 2]. Disease in poultry caused by avian pathogenic E. coli (APEC) may cause a wide range of extraintestinal symptoms, collectively termed colibacillosis. APEC belong to the group of extraintestinal pathogenic E. coli (ExPEC) [35], that also includes the pathotypes; uropathogenic E. coli (UPEC), neonatal-meningitis E. coli (NMEC) and septicemic E. coli. All groups have been associated with disease in both humans and animals [3, 4], and it has been reported that human ExPEC strains are closely related to APEC strains, suggesting that poultry could constitute a reservoir of zoonotic APEC strains [3, 6, 7].

In general, APEC isolates from chickens constitute a genetically diverse population with numerous of different serogroups and sequence types (STs). The most commonly observed serogroups are O1, O2 and O78 [69], and multilocus sequence typing (MLST) has shown that STs 10, 48, 95 and 117 have been frequently observed [5, 10, 11]. Several types of virulence genes are commonly identified in APEC as well as in human ExPEC [7, 12] (Additional file 1: Table S1). These are often carried on virulence plasmids and pathogenicity islands (PAIs) [1315].

Nordic broiler production depends on a breeding pyramid where Swedish grandparents are mainly imported from Scotland and used for breeding of parents for export to farms in the rest of the Nordic countries [16, 17]. Interestingly, previous studies indicated that extended-spectrum beta-lactamase (ESBL)-producing E. coli can be transmitted vertically from parents to offspring through the breeding pyramid [1719]. Hence, if great grandparents are infected with virulent E. coli, they can potentially disseminate vertically to Swedish grandparents and hereafter to parents and broilers across the Nordic countries.

From 2009 until late 2014, the mortality on Danish poultry farms has on average been decreasing. Hereafter, the mortality has increased to >4.0% in 2015 and it has been suggested that colibacillosis in both parents and broilers has played a significant role [20]. In the same period similar problems with colibacillosis and increased mortality have also been observed on Finnish and Norwegian farms (Magne Hansen, Animalia, pers. comm). The aim of this study was to investigate, using whole genome sequencing, the genetic diversity and potential relatedness of APEC isolates associated with increased mortality and colibacillosis in Nordic countries.

Methods

E. coli isolates

In this study, 107 bacterial isolates from Danish (n = 74), Finnish (n = 15), Norwegian (n = 16) and Polish (n = 2) farms were analyzed. Additionally, assembled draft genomes obtained from seven bacterial isolates collected from diseased Danish chickens, were kindly provided by the Danish poultry industry, and their isolation ID have in this study been assigned a capital “A” (Additional file 2: Table S2). In total, the 114 isolates were collected from 88 different farms and if isolates were from the same farm they were in general collected from different houses. The majority of isolates were collected from diseased broiler chickens and parents (layer hens) and diseased birds were diagnosed with a generalized E. coli infection, whereas 15 isolates were collected from healthy birds (Additional file 2: Table S2). The Danish isolates were collected from all parts of the country by the two commercial laboratories at LVK (Landbrugets Veterinære Konsulenttjeneste, Hobro, Denmark) and the poultry slaughterhouse, Danpo (Danpo A/S, Aars, Denmark). The Danish farms were not geographically clustered, but distributed evenly throughout the regions with poultry production. Notably, the draft genomes of two Danish isolates (E44 and E51) have previously been annotated and deposited in DDBJ/ENA/GenBank under the accession numbers LXWV00000000 (E44) and LYPJ00000000 (E51) [21], due to their inclusion in a Danish autogenous vaccine program. Finnish isolates were collected from the Southwestern part of Finland by the Finnish Food Safety Authority (Evira). In Norway, the isolates were collected from central, South-eastern and Western parts of the country by the Norwegian Veterinary Institute (NVI). In both Finland and Norway, the samples were collected from regions where most broiler farms are located.

The Illumina reads sequenced in this study were deposited in the NCBI SRA [22] under the study accession number SRP092633.

DNA purification and sequencing

Isolates were grown overnight at 37 °C on blood agar (Columbia agar base [Oxoid, Hampshire, UK]) supplemented with 5% calf blood [SSI, Copenhagen, DK]). Single colonies were harvested directly from the agar plates and genomic DNA was purified using the QIAamp DNA Mini Kit (Qiagen, Hilden, Germany), according to the manufacturer’s instructions. The DNA libraries were generated using Nextera XT kit (Illumina Inc., San Diego, Ca) according to manufacturer’s instructions. Finally, Illumina’s MiSeq platform was used for paired-end DNA sequencing with a read length of 2 × 251 bp for all isolates except the seven isolates from the Danish poultry industry which were sequenced with a read length of 2 × 300 bp.

De novo assembly and typing

Raw reads were de novo assembled using CLC bio’s Genomics Workbench (GW) v6.5 (Qiagen, Aarhus, Denmark) with default setting and a threshold on contigs of minimum 500 nt. Subsequently, the de novo assembled contigs were MLST [23] and serotyped [24] in silico using online typing tools [25].

Core genome diversity

The genetic relationship between all 114 isolates was investigated using single nucleotide polymorphisms (SNPs). SNPs were identified using NASP 1.0 [26] by aligning Illumina reads against E. coli strain CFT073 (GenBank accession no. AE014075), using the Burrows-Wheeler Aligner (BWA) [27] after removal of duplicated regions in the reference using NUCmer [28]. GATK Unified Genotyper [29] was used to identify variant positions and to remove positions with <90% unambiguous base calls, as well as SNPs in positions that did not meet a minimum coverage requirement of ≥10×. Subsequently, a phylogenetic tree model was constructed using the maximum-likelihood algorithm implemented in PhyML [30] using Smart Model Selection and the Bayesian Information Criterion with 100 bootstrap replicates and visualized using iTOL v3.1 [31].

Further investigations were performed on all identified ST117 isolates from this study (n = 62) together with all 21 identified ST117 E. coli strains available at [32] (Additional file 3: Table S3). SNPs were identified as described above but with purging of recombinant regions using Gubbins v1.4.4 with standard settings of five iterations. Phylogenetic analyses on the purged dataset were performed as previously described.

Identification of virulence and resistance genes

Various types of virulence genes were identified in de novo assembled contigs using MyDbFinder v1.1 [33] and antibiotic resistance genes were identified using ResFinder v2.1 [34]. Further descriptions and Genbank accession numbers of the selection of virulence genes are found in Additional file 1: Table S1. In some cases, CLC bio’s Genomics workbench was used to verify the presence of the open reading frames by BLASTN and mapping of reference genes to the de novo assembled contigs.

Results

The majority of the isolates (66/114) were sequenced to an average coverage of ≥50 fold, whereas 35/114 of the draft genomes had an average coverage of >30. The rest had an average coverage of >18, whereas seven draft genomes provided by the Danish poultry industry exhibited slightly less coverage. Assembly metrics (average coverage, N50, number of contigs and assembly size) can be found in Additional file 4: Table S4.

Serotyping and MLST

Serotype genes were in the majority of the 114 assembled genomes, identified with thresholds of ≥90% nucleotide identity, ≥90% coverage of the query and a sequence depth of >10×. However, in eight isolates (E29, E50, E52, E56, E64, E66, E69 and E91) the O-type genes were on average identified with 67% coverage of the query and ≥90% nucleotide identity, whereas no O-type genes were identified in nine isolates (Additional file 2: Table S2). The isolates showed a high diversity with a total of 33 different serotypes, and MLST analyses identified 29 different STs. The most prevalent serotype was O78:H4 observed among 43% (49/114) of the isolates, whereas 54% (62/114) were found to be of ST117 (Additional file 2: Table S2). Of all isolates, 61% (70/114) could be divided into six groups associated with the same serotype and ST (Table 1). Notably, all six groups presented in Table 1 were also closely related according to the SNP analysis (Fig. 1).
Table 1

Virulence gene content among 114 E. coli isolates

 

Group 1

Group 2

Group 3

Group 4

Group 5

Group 6

Healthy

Diseased

Isolates

47

8

5

4

3

3

15

99

Farms

34

8

4

4

2

3

15

73

Serotype

O78:H4

O53:H4

O103:H2

O18ac:H7

O149:H23

O5:H10

-

-

ST

117

117

1146

95

1163

93

-

-

fimA

+

+

+

+

+

1/3

12/15

94/99

fimC

+

+

+

+

+

+

13/15

96/99

papC

       

4/99

tsh

   

+

 

+

 

20/99

fyuA

 

+

 

3/4

  

1/15

28/99

iroD

+

+

 

+

+

+

4/15

94/99

iroN

+

+

 

+

+

+

3/15

93/99

irp2

 

+

 

+

  

1/15

30/99

iucA

+

+

+

+

 

+

7/15

84/99

iucD

+

+

+

+

 

1/3

7/15

84/99

cva

 

+

+

+

+

+

12/15

39/99

cvi

 

+

+

+

+

+

12/15

39/99

iss

+

+

2/5

+

+

+

7/15

97/99

ompA

+

+

+

+

+

+

15/15

99/99

vat

+

+

 

+

   

71/99

hlyA

        

ibeA

   

+

 

1/3

 

13/99

The table shows the virulence gene content among E coli groups of identical ST and serotype. “+” indicates presence of genes. If a virulence gene was not present among all isolates in a group, the ratio of isolates that carried the gene is presented. The number of isolates and the number of different farms they were collected from, in each group is shown. The isolates from these groups were also closely related according to the SNP analysis, and the groups are highlighted in colors in Fig. 1. Furthermore, the ratios of isolates from healthy and diseased poultry that carried virulence genes are shown

Fig. 1
Fig. 1

Maximum-likelihood tree of 114 E. coli isolates based on 145,637 core SNPs. The analysis shows a clade of 62 APEC isolates collected from both broilers and parents (P) on Danish (DK), Finnish (FIN) and Norwegian (NO) chicken farms. All 62 isolates belonged to ST117. Isolate groups of the same serotype and ST are presented in identical colors. Isolates collected from diseased animals are marked with a black strip, whereas the white strip indicates isolates from healthy chickens. E. coli strain CFT073 served as reference and the scale indicates substitutions per site

Phylogenetic analyses

The SNP calling based on all 114 isolates had a total of 145,637 variant positions identified in ~49% of the reference genome. The phylogenetic analysis revealed a large clade of 62 isolates from both diseased broilers and parents collected in Denmark, Finland and Norway. Isolates from healthy chickens were not related to this clade (Fig. 1). All isolates from this clade belonged to ST117 and 47 of these had serotype O78:H4 whereas eight had O53:H5 (Fig. 1). It was not possible to identify O-type genes in six isolates from this clade, but they all carried the H4 gene. A single isolates (E24) was of serotype O161:H4 (Fig. 1) (Additional file 2: Table S2). Minor clusters of few isolates with identical serotype and ST were present but none of them contained isolates from more than two different countries (Fig. 1).

The SNP calling based on all 83 ST117 genomes from both this study and those obtainable from the public domain at NCBI [32] had a total of 13,215 variant positions identified in ~64% of the genomes, and with 2,617 SNPs remaining after purging of recombinant regions. The analysis identified a major clade primarily consisting of 47 O78:H4 isolates from both diseased broilers and parents collected on 34 different farms in Denmark, Finland and Norway (Fig. 2). On average, the length between these 47 isolates was 23 SNPs. In four isolates (E46, E53, E54, and E72) from this clade no O-type genes were identified, whereas only one isolate in this clade (E13) belonged to a serogroup different from O78 (Fig. 2). Furthermore, strain GN02004 obtained from the RefSeq archive at NCBI (Additional file 3: Table S3) belonged to serotype O24:H4. The 47 O78:H4 isolates differed by at least 50 SNPs from the O53:H4 clade (Fig. 2).
Fig. 2
Fig. 2

Maximum likelihood tree of 83 ST117 E. coli based on 2,617 purged core SNPs. The analysis includes 62 ST117 poultry isolates and 21 international strains. A distinct clade of 53 closely related APEC isolates collected from both broilers and parents (P) on Danish (DK), Finnish (FIN) and Norwegian (NO) chicken farms was identified. Fourty-seven of these isolates were of serotype O78:H4 (blue), whereas a single was O53:H4 (red). All isolates from this study were from diseased birds and the reference strain E. coli strain CFT073 is not included. The scale indicates substitutions per site

Identification of virulence and resistance genes

In general, different combinations of virulence genes were identified in the 114 draft genomes with thresholds of ≥90% nucleotide identity and ≥90% coverage of the query sequence. (Table 1 and Additional file 2: Table S2). All 47 ST117 O78:H4 isolates carried a unique combination of nine virulence genes compared to the eight ST117 O53:H4 isolates (Table 1). However, the isolates in this cluster did not carry any of the investigated virulence genes that were not also present in other isolates, i.e., no virulence genes were unique for this cluster. hlyA was not identified in any of the isolates whereas fimA/C and ompA were found in almost all isolates. papC, tsh, vat and ibeA were only associated with diseased poultry and iroD, iroN and iss were found in ≥94% (93/99) of the isolates from diseased birds (Table 1). The majority (79/114) of all isolates did not carry antibiotic resistance genes. Only few (6/47) of the ST117 O78:H4 isolates carried antibiotic resistance genes, whereas resistance genes were more common among the other groups (Additional file 2: Table S2). The most commonly identified resistance genes were against β-lactams, sulphonamides or streptomycin, and less often against tetracycline or trimethoprim.

Discussion

In recent years (2014–2016), an increase in cases of colibacillosis on Nordic poultry farms has caused a raise in mortality and economic losses [20] (Magne Hansen, Animalia, pers. comm). Therefore, the genetic diversity among 114 E. coli isolates mainly collected from diseased animals on poultry farms with colibacillosis were investigated. In agreement with previous studies [5, 7, 9, 11], it was found that the poultry isolates were a genetically diverse population. However, we identified a group of 47 closely related ST117 O78:H4 isolates collected from diseased broilers and parents in multiple Nordic countries, which shared a similar genetic background (Fig. 2). In concordance, it has previously been reported that APEC isolates are widely associated with serogroup O78 and ST117 [7, 11]. These 47 isolates were not related to any of the isolates from healthy chickens (Fig. 1). On average, the distance between these 47 isolates was 23 SNPs, whereas the distance to the closest related ST117 O53:H4 isolate outside this group was 50 SNPs (Fig. 2). Additionally, all 47 ST117 O78:H4 carried an identical and unique combination of virulence genes compared to all other investigated isolates (Table 1). Thus, according to both the investigation of virulence profiles and the SNP analyses the 47 ST117 O78:H4 isolates define a distinct lineage. The isolates from this lineage carried nine genes that encode virulence factors important in the pathogenesis of avian colibacillosis (Table 1). Interestingly, O78 strains have been suggested to be the main cause of avian colisepticemia together with O1 and O2 strains [35]. The O-antigen capsule allows bacteria to avoid the host’s innate immune response and studies have shown that this LPS capsule is required during systemic infections [35, 36]. Type I fimbriae encoded by fimA/C, have been shown to be necessary for initial colonization of the respiratory system [37]. Additionally, previous studies suggest that iucA/D and iroD which encode aerobactin and salmochelin siderophores respectively, are specifically important for iron acquisition in the extraintestinal environment of chickens [38]. As in this study, the virulence factor increased serum survival encoded by iss, was previously identified in APEC strains [7, 12] as well as the vacuolating autotransporter toxin Vat, but their exact role in the pathogenesis needs to be further elucidated [15, 39]. It should also be noticed that some of the virulence genes (fimA/C, ompA) were found among almost all analyzed isolates, both from healthy and diseased birds, which indicates that they are not only involved in avian colibacillosis. Additionally, a wide range of other virulence factors have also been suggested to be associated with APEC [40]. None of the investigated virulence genes (Table 1) were found exclusively among the O78:H4 cluster and it may therefore be suggested that other, yet undefined virulence mechanisms were partly responsible for the high virulence of this strain. Thus, a comparative study to reveal more precisely why the O78:H4 ST117 lineage was considerably associated with increased mortality among Nordic broilers and breeders from 2014–2016 could be interesting to carry out.

In the Nordic countries, all poultry farms receive their parents from Swedish hatcheries where grandparents are imported from Scotland [16, 17]. It was not possible to verify how many Swedish parent flocks that the birds included in this study originated from, which could have further revealed the extent of the colibacillosis issues observed on Nordic poultry farms. Finding highly similar isolates in broilers and parents from distantly located farms that share one common source for parent animals strongly support a vertical dissemination of ST117 O78:H4 isolates from grandparents and great grandparent. Vertical transmission of pathogenic E. coli has previously been observed in other studies [1719]. Unfortunately, E. coli isolates from diseased grandparents or great grandparents were not available to further confirm this hypothesis. It could have been interesting to investigate samples from parents and their corresponding offspring but a parent flock can be origin to several different broiler flocks. Thus, it is not possible to collect samples directly from parent/offspring pairs [16]. Instead, an in vivo infection study of parents and their offspring could be carried out.

The 47 O78:H4 ST117 isolates carried various types of virulence genes (Table 1) that previously have been identified in both APEC and human UPEC isolates. Additionally, they were closely related to the ST117 O24:H4 E. coli strain GN02004 from NCBI (Fig. 2), which previously has been collected from human body fluids. (Additional file 3: Table S3). Therefore, it could be speculated whether the origin of these colibacillosis cases could have been the introduction of human UPEC to grandparents or great grandparents in the upper parts of the breeding pyramid. Strain GN02004 was sampled in USA but we could not obtain further information regarding possible dissemination via travel activities to Europe. Thus, diseased chickens could potentially constitute a zoonotic risk to e.g., farmers or other people who get in contact with them [3, 7]. Additionally, E. coli strains have been found to end up in the broiler chicken meat [17].

Since the increase in the occurrence of colibacillosis has a considerable impact on animal welfare and production economy, it is of great importance to obtain more in-depth knowledge regarding APEC and colibacillosis and to develop vaccines that possibly could provide immunization of the poultry. Interestingly, E. coli strain E44 [21] collected from a diseased parent bird, was here shown to be a part of the major ST117 O78:H4 linage. In 2015, strain E44 was selected for a Danish autovaccine program due to its suggested relation to the increase in colibacillosis on Danish poultry farms. However, the efficiency of the program remains to be evaluated.

Conclusion

Genomic investigation of APEC isolates collected from diseased chickens on Nordic poultry farms revealed the presence of a predominant lineage of ST117 O78:H4 isolates. The analyses indicated that the ST117 O78:H4 strains have been transmitted vertically through the broiler breeding pyramid and contributed considerably to the increase of colibacillosis cases observed on Nordic poultry farms from 2014 to 2016.

Declarations

Acknowledgements

We are very thankful for the support from the Danish Poultry Levy Fond and we will like to thank Elvira Chapka and Mette Holm from Statens Serum Institut for excellent DNA sequencing work.

Funding

This investigation was supported by a grant from the Danish Poultry Levy Fond.

Availability of data and material

The clinical E. coli isolates and the whole genome sequences generated during and/or analyzed during the current study will be available from the corresponding author on reasonable request.

Authors’ contributions

ABN, BL, CS, KP, MS, RHO, TP, TR and UL performed the experiments designed by KP, MS and RHO and TR. KP, MS, PSA, RHO and TR performed data analyses and interpretations. TR wrote the manuscript which finally was edited and approved by all authors.

Competing interests

The authors declare that they have no competing interests in this section.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Not applicable.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
National Veterinary Institute, Technical University of Denmark, Bülowsvej 27, 1870 Frederiksberg C, Denmark
(2)
Statens Serum Institut, Department of Microbiology and Infection Control, Artillerivej 5, 2300 Copenhagen S, Denmark
(3)
Department of Veterinary Disease Biology, University of Copenhagen, Stigbøjlen 4, 1870 Frederiksberg C, Denmark
(4)
Norwegian Veterinary Institute, Ullevaalsveien 68, 0454 Oslo, Norway
(5)
Finnish Food Safety Authority, Veterinary Bacteriology, Neulaniementie 4, FI-70210 Kuopio, Finland

References

  1. Landman WJ, van Eck JH. The incidence and economic impact of the Escherichia coli peritonitis syndrome in Dutch poultry farming. Avian Pathol. 2015;9457:1–27.Google Scholar
  2. Zhuang Q-Y, Wang S-C, Li J-P, Liu D, Liu S, Jiang W-M, et al. A clinical survey of common avian infectious diseases in China. Avian Dis. 2014;58:297–302.View ArticlePubMedGoogle Scholar
  3. Moulin-Schouleur M, Reperant M, Laurent S, Bree A, Mignon-Grasteau S, Germon P, et al. Extraintestinal pathogenic Escherichia coli strains of avian and human origin: Link between phylogenetic relationships and common virulence patterns. J Clin Microbiol. 2007;45:3366–76.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Dho-moulin M, Fairbrother JM. Avian pathogenic Escherichia coli (APEC). Vet Microbiol. 1999;30:299–316.Google Scholar
  5. Dissanayake DRA, Octavia S, Lan R. Population structure and virulence content of avian pathogenic Escherichia coli isolated from outbreaks in Sri Lanka. Vet Microbiol. 2014;168:403–12.View ArticlePubMedGoogle Scholar
  6. Adiri RS, Gophna U, Ron EZ. Multilocus sequence typing (MLST) of Escherichia coli O78 strains. FEMS Microbiol Lett. 2003;222:199–203.View ArticlePubMedGoogle Scholar
  7. Ewers C, Li G, Wilking H, Kießling S, Alt K, Antáo EM, et al. Avian pathogenic, uropathogenic, and newborn meningitis-causing Escherichia coli: How closely related are they? Int J Med Microbiol. 2007;297:163–76.View ArticlePubMedGoogle Scholar
  8. Cloud SS, Rosenberger JK, Fries PA, Wilson RA, Odor EM. In vitro and in vivo characterization of avian Escherichia coli. I. Serotypes, metabolic activity, and antibiotic sensitivity. Avian Dis. 1985;29:1084–93.View ArticlePubMedGoogle Scholar
  9. Dozois CM, Fairbrother JM, Harel J. Bossé M. pap-and pil-related DNA sequences and other virulence determinants associated with Escherichia coli isolated from septicemic chickens and turkeys. Infect Immun. 1992;60:2648–56.Google Scholar
  10. Mora A, López C, Herrera A, Viso S, Mamani R, Dhabi G, et al. Emerging avian pathogenic Escherichia coli strains belonging to clonal groups O111: H4-D-ST2085 and O111: H4-D-ST117 with high virulence-gene content and zoonotic potential. Vet Microbiol. 2012;156:347–52.View ArticlePubMedGoogle Scholar
  11. Olsen RH, Stockholm NM, Permin A, Christensen JP, Christensen H, Bisgaard M. Multi-locus sequence typing and plasmid profile characterization of avian pathogenic Escherichia coli associated with increased mortality in free-range layer flocks. Avian Pathol. 2011;40:437–44.View ArticlePubMedGoogle Scholar
  12. Rodriguez-Siek KE, Giddings CW, Doetkott C, Johnson TJ, Fakhr MK, Nolan LK. Comparison of Escherichia coli isolates implicated in human urinary tract infection and avian colibacillosis. Microbiology. 2005;151:2097–110.View ArticlePubMedGoogle Scholar
  13. Johnson TJ, Johnson SJ, Nolan LK. Complete DNA sequence of a ColBM plasmid from avian pathogenic Escherichia coli suggests that it evolved from closely related ColV virulence plasmids. J Bacteriol. 2006;188:5975–83.View ArticlePubMedPubMed CentralGoogle Scholar
  14. Herrero M, De Lorenzo V, Neilands JB. Nucleotide sequence of the iucD gene of the pCoIV-K30 aerobactin operon and topology of its product studied with phoA and lacZ gene fusions. J Bacteriol. 1988;170:56–64.View ArticlePubMedPubMed CentralGoogle Scholar
  15. Parreira VR, Gyles CL. A novel pathogenicity island integrated adjacent to the thrW tRNA gene of avian pathogenic Escherichia coli encodes a vacuolating autotransporter toxin. Infect Immun. 2003;71:5087–96.View ArticlePubMedPubMed CentralGoogle Scholar
  16. Mo SS, Kristoffersen AB, Sunde M, Nødtvedt A, Norström M. Risk factors for occurrence of cephalosporin-resistant Escherichia coli in Norwegian broiler flocks. Prev Vet Med. 2016;130:112–8.View ArticlePubMedGoogle Scholar
  17. Agersø Y, Jensen JD, Hasman H, Pedersen K. Spread of extended spectrum cephalosporinase-producing Escherichia coli clones and plasmids from parent animals to broilers and to broiler meat in a production without use of cephalosporins. Foodborne Pathog Dis. 2014;11:740–6.View ArticlePubMedGoogle Scholar
  18. Zurfluh K, Wang J, Klumpp J, Nüesch-Inderbinen M, Fanning S, Stephan R. Vertical transmission of highly similar blaCTX-M-1-harboring IncI1 plasmids in Escherichia coli with different MLST types in the poultry production pyramid. Front Microbiol. 2014;5:1–7.Google Scholar
  19. Nilsson O, Borjesson S, Landen A, Bengtsson B. Vertical transmission of Escherichia coli carrying plasmid-mediated AmpC (pAmpC) through the broiler production pyramid. J Antimicrob Chemother. 2014;69:1497–500.View ArticlePubMedGoogle Scholar
  20. Bisgaard M, Pedersen JR, Christensen H. Danish Commercial Poultry (Dansk Erhvervsfjerkræ). Oct. 2015;10:14–9.Google Scholar
  21. Ronco T, Stegger M, Andersen PS, Pedersen K, Li L, Thøfner ICN, et al. Draft genome sequences of two avian pathogenic Escherichia coli strains of clinical importance, E44 and E51. Genome Announc. 2016;4:1–2.View ArticleGoogle Scholar
  22. The National Center For Biotechnology Information. Sequence Read Archive. https://www.ncbi.nlm.nih.gov/sra. Accessed Nov 2016.
  23. Wirth T, Falush D, Lan R, Colles F, Mensa P, Wieler LH, et al. Sex and virulence in Escherichia coli: an evolutionary perspective. Mol Microbiol. 2006;60:1136–51.View ArticlePubMedPubMed CentralGoogle Scholar
  24. Joensen KG, Tetzschner AMM, Iguchi A, Aarestrup FM, Scheutz F. Rapid and easy in silico serotyping of Escherichia coli isolates by Use of whole-genome sequencing data. Carroll KC, editor. J Clin Microbiol. 2015;53:2410–26.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Center For Genomic Epidemiology.http://www.genomicepidemiology.org. Accessed 1 Sept 2016.
  26. Northern Arizona SNP Pipeline. http://tgennorth.github.io/NASP/.
  27. Li H, Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 2010;26:589–95.View ArticlePubMedPubMed CentralGoogle Scholar
  28. Delcher AL, Phillippy A, Carlton J, Salzberg SL. Fast algorithms for large-scale genome alignment and comparison. Nucleic Acids Res. 2002;30:2478–83.View ArticlePubMedPubMed CentralGoogle Scholar
  29. DePristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C, et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat. Genet. 2011;43:491–8.Google Scholar
  30. Guindon S, Gascuel O. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 2003;52:696–704.View ArticlePubMedGoogle Scholar
  31. Letunic I, Bork P. Interactive Tree Of Life v2: online annotation and display of phylogenetic trees made easy. Nucleic Acids Res. 2011;39:W475–8.View ArticlePubMedPubMed CentralGoogle Scholar
  32. The National Center For Biotechnology Information. ftp://ftp.ncbi.nlm.nih.gov/genomes/refseq/bacteria/Escherichia_coli/latest_assembly_versions. Accessed 15 Apr 2016.
  33. MyDbFinder. https://cge.cbs.dtu.dk/services/MyDbFinder/. Accessed 25 Aug 2016.
  34. Zankari E, Hasman H, Cosentino S, Vestergaard M, Rasmussen S, Lund O, et al. Identification of acquired antimicrobial resistance genes. J Antimicrob Chemother. 2012;67:2640–4.View ArticlePubMedPubMed CentralGoogle Scholar
  35. Huja S, Oren Y, Trost E, Brzuszkiewicz E, Biran D, Blom J, et al. Genomic avenue to avian colisepticemia. MBio. 2015;6:1–13.View ArticleGoogle Scholar
  36. Dziva F, Hauser H, Connor TR, van Diemen PM, Prescott G, Langridge GC, et al. Sequencing and functional annotation of avian pathogenic Escherichia coli serogroup O78 strains reveal the evolution of E. coli lineages pathogenic for poultry via distinct mechanisms. Infect Immun. 2013;81:838–49.View ArticlePubMedPubMed CentralGoogle Scholar
  37. La Ragione RM, Sayers AR, Woodward MJ. The role of fimbriae and flagella in the colonization, invasion and persistence of Escherichia coli O78:K80 in the day-old-chick model. Epidemiol Infect. 2000;124:351–63.View ArticlePubMedPubMed CentralGoogle Scholar
  38. Gao Q, Wang X, Xu H, Xu Y, Ling J, Zhang D, et al. Roles of iron acquisition systems in virulence of extraintestinal pathogenic Escherichia coli: salmochelin and aerobactin contribute more to virulence than heme in a chicken infection model. BMC Microbiol. 2012;12:143.View ArticlePubMedPubMed CentralGoogle Scholar
  39. Nolan LK, Horne SM, Giddings CW, Foley SL, Johnson TJ, Lynne AM, et al. Resistance to serum complement, iss, and virulence of avian Escherichia coli. Vet Res Commun. 2003;27:101–10.View ArticlePubMedGoogle Scholar
  40. Guabiraba R, Schouler C. Avian colibacillosis: Still many black holes. FEMS Microbiol Lett. 2015;362:1–8.View ArticleGoogle Scholar

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