Volume 24, Number 12—December 2018
Research
Highly Pathogenic Clone of Shiga Toxin–Producing Escherichia coli O157:H7, England and Wales
Abstract
We used whole-genome sequencing to investigate the evolutionary context of an emerging highly pathogenic strain of Shiga toxin–producing Escherichia coli (STEC) O157:H7 in England and Wales. A timed phylogeny of sublineage IIb revealed that the emerging clone evolved from a STEC O157:H7 stx-negative ancestor ≈10 years ago after acquisition of a bacteriophage encoding Shiga toxin (stx) 2a, which in turn had evolved from a stx2c progenitor ≈20 years ago. Infection with the stx2a clone was a significant risk factor for bloody diarrhea (OR 4.61, 95% CI 2.24–9.48; p<0.001), compared with infection with other strains within sublineage IIb. Clinical symptoms of cases infected with sublineage IIb stx2c and stx-negative clones were comparable, despite the loss of stx2c. Our analysis highlighted the highly dynamic nature of STEC O157:H7 Stx-encoding bacteriophages and revealed the evolutionary history of a highly pathogenic clone emerging within sublineage IIb, a sublineage not previously associated with severe clinical symptoms.
Shiga toxin–producing Escherichia coli (STEC) O157:H7 cause a wide range of gastrointestinal symptoms, including mild gastroenteritis, abdominal pain, vomiting, and bloody diarrhea (1). A subset of patients, most commonly the very old and the very young, go on to develop hemolytic uremic syndrome (HUS) (2). STEC O157:H7 are zoonotic, and transmission to humans is most commonly associated with ruminants, especially cattle and sheep. Transmission occurs by consumption of contaminated food or water or by direct contact with animals or their environment. The infectious dose is low (10–100 organisms), and person-to-person spread can occur in households, nurseries, and other institutional settings (1). The STEC pathotype is defined by the presence of the genes encoding Shiga toxin (Stx) type 1, type 2, or both, located on a bacteriophage incorporated into the bacterial genome (3). Stx1 and Stx2 can be further divided into subtypes Stx1a–1d and Stx2a–2g; Stx2a is strongly associated with causing severe disease (4,5). The STEC O157:H7 population has previously been delineated into 3 main lineages (I, I/II, and II) (6), and 7 sublineages (Ia, Ib, Ic, IIa, IIb, IIc, and I/ll) (5).
In England, the most common STEC serotype is O157:H7, which causes an average of 800 cases/year (1). All STEC O157:H7 isolated at local hospital laboratories from fecal samples from hospitalized patients and all cases in the community are submitted to the Gastrointestinal Bacteria Reference Unit (GBRU) at Public Health England for confirmation of identification and typing. From 2000 through 2016, phage type (PT) 8 with the stx profile stx1a/stx2c and PT21/28 with the stx profile stx2a or stx2a/stx2c were detected most frequently in England, with PT21/28 the most frequently associated with severe disease (2,7).
Since 2015, all isolates submitted to GBRU have been genome sequenced. Whole-genome sequencing (WGS) demonstrates unparalleled sensitivity and accuracy in identifying linked cases (8). Using WGS data during outbreak investigations has improved the robustness of case ascertainment and provided forensic evidence for linking human cases to the source of their infection (9,10). Phylogenetic inference can also reveal how strains are related over time and space more accurately than other molecular typing methods and may provide insight into the evolutionary and epidemiologic context of emerging pathogenic clones (8,10,11).
In 2015, a total of 47 persons were affected by an outbreak in England of foodborne gastrointestinal illness caused by STEC O157:H7 PT8 stx2a. The outbreak was associated with the consumption of contaminated prepacked salad leaves (11). The outbreak strain continued to cause sporadic infection and outbreaks of foodborne disease throughout 2016 and 2017 (11). The aim of our analysis was to investigate the evolutionary history of this newly emergent strain of STEC O157:H7 PT8 stx2a and assess the risk to public health.
Bacterial Strains
All isolates submitted to GBRU for confirmation and typing from local hospital laboratories in England and Wales during July 2015–December 2017 were sequenced for routine surveillance National Center for Biotechnology Information Short Read Archive bioproject PRJNA248042). We included an additional 74 clinical isolates of STEC O157:H7 belonging to sublineage IIb, the lineage containing STEC O157:H7 PT8 stx2a, that were submitted to GBRU between January 2010–June 2015 from previous studies (5,8) (Technical Appendix Table). We selected these STEC O157:H7 isolates on the basis of stx subtype and phage type diversity to provide context as a sample of the background population. We defined STEC O157:H7 isolates from patients who were hospitalized as a result of their gastrointestinal symptoms or who reported bloody diarrhea as highly pathogenic or as having increased pathogenic potential compared with isolates from patients who were asymptomatic or reporting nonbloody diarrhea.
Genome Sequence Analysis
For WGS, we extracted DNA from cultures of STEC O157:H7 for sequencing on the HiSeq 2500 instrument (Illumina, San Diego, California, USA). We mapped quality trimmed Illumina reads (12) to the STEC O157:H7 reference genome Sakai (GenBank accession no. BA000007) using Burrows Wheeler Aligner-Maximum Exact Matching (BWA-MEM) (13). We identified single-nucleotide polymorphisms (SNPs) using Genome Analysis Toolkit version 2 (14) in unified genotyper mode and extracted core genome positions that had a high-quality SNP (>90% consensus, minimum depth ×10, GQ >30) in >1 isolate for further analysis. We performed hierarchical single linkage clustering on the pairwise SNP difference between all strains at various distance thresholds (250, 100, 50, 25, 10, 5, 0). The result of the clustering is a SNP profile, or SNP address, that can be used to describe population structure based on clonal groups (15).
We performed recombination analysis using Gubbins (16) and reconstructed timed phylogenies using BEAST-MCMC version 2.4.7 (17). We computed alternative clock models and population priors and assessed their suitability on the basis of Bayes factor tests. The highest supported model was a relaxed log-normal clock rate with a Bayesian skyline population model. We ran all models with a chain length of 1 billion. We reconstructed a maximum clade credibility tree using TreeAnnotator version 1.75 (17).
We performed Stx subtyping as described by Ashton et al. (18). The integration of Stx-encoding prophage into the host genome has been characterized into 6 target genes: wrbA, encoding a NAD quinone oxidoreductase; yehV, a transcriptional regulator; sbcB, an exonuclease; yecE, a gene of unknown function; the tRNA gene argW; and Z2577, which encodes an oxidoreductase (5). We mapped short reads from the STEC O157:H7 genomes to intact reference sequences of these genes, and aligned them with BWA MEM (13). We defined occupied Stx bacteriophage insertion (SBI) sites as those strains that had disrupted alignments (5). We used Tablet to visualize read pileups (19).
Data Analyses
The National Enhanced Surveillance System for STEC (NESSS) in England was implemented on January 1, 2009, and has been described in detail elsewhere (1). For this study, we extracted data from NESSS for the cases identified as being infected with strains that had been sequenced and belonging to the sublineage IIb cluster of interest (containing the STEC O157:H7 PT8 stx2a, outbreak strain). We excluded asymptomatic carriers detected through screening high-risk contacts of symptomatic patients as well as patients who did not return the enhanced surveillance questionnaire (ESQ) to NESSS. Data analyzed included age, gender, and whether the patient reported symptoms of nonbloody diarrhea, bloody diarrhea, and vomiting along with whether cases were hospitalized, developed typical HUS, or died. Cases were categorized into children (<16 years of age) or adults, based on a priori knowledge that children are most at risk for both STEC infection and progression to HUS (1). Where clinical symptoms were blank on the ESQ, we coded them as negative responses for these symptoms. We divided cases into 3 groups based on stx subtype: stx2a, stx2c, and stx-negative.
We first described patients’ symptoms by stx subtype as well as by age group and sex and also examined the distribution of stx subtype by age and gender. We used Fisher exact tests to compare proportions among different groups. We assessed reporting of bloody diarrhea or hospitalization as a marker of disease severity by stx subtype. We used logistic regression to calculate odds ratios (ORs) to assess bloody diarrhea by stx subtype while adjusting for age (child/adult) and sex. We performed all analyses in Stata 13.0 (StataCorp LLC, College Station, TX, US).
Sublineage IIb
Figure 1
Figure 1. Cases of Shiga toxin–producing Escherichia coli O157:H7 belonging to sublineage IIb, 250 single-nucleotide polymorphism single linkage cluster 18.%, by stx subtype profile, submitted to the Gastrointestinal Bacterial Reference Unit at Public...
The STEC O157:H7 stx2a clone analyzed in this study was located within sublineage IIb, and belonged to a 250 SNP single linkage cluster, designated 18%. This cluster comprised 251 clinical isolates: 138 of STEC O157:H7 stx2a, 77 of stx-negative E. coli O157:H7, and 36 of STEC O157:H7 stx2c (Figure 1; Technical Appendix Table). Since July 2015, when Public Health England implemented the use of WGS for STEC, the number of cases identified within sublineage IIb has remained stable (≈60/y). However, the number of cases of the stx-negative E. coli O157:H7 clone has declined, whereas the stx2a and stx2c clones are increasing (Figure 1).
Evolutionary Timescale and Stx Prophage Insertion in STEC O157:H7
Figure 2
Figure 2. Timed phylogeny of Shiga toxin–producing Escherichia coli O157:H7 sublineage IIb isolates illustrating the sequential loss of stx2c and subsequent gain of stx2a. Scale bar indicates years in the past.
We reconstructed a timed phylogeny of sublineage IIb (Figure 2). We calculated the mutation rate of STEC O157:H7 within sublineage IIb to be ≈2 mutations per genome per year (95% highest posterior density [HPD] 1.7–2.4). This rate is less than the 2.6 mutations per genome per year previously calculated across the complete STEC O157 population (5). Our analysis revealed that the emerging stx2a clone evolved from a stx-negative recent ancestor with the acquisition of stx2a ≈10 years ago (95% HPD 9.0 years–12.7 years). Previously, this stx-negative clone had evolved from a stx2c progenitor ≈20 years ago (95% HPD 17.6 years–24.6 years) after the loss of stx2c.
Historically, the majority of strains in sublineage IIb harbored a Stx2c-encoding prophage at sbcB, with the yehV SBI site occupied by a truncated non–Stx encoding prophage (5). Analysis of the short read data indicated that in the stx-negative sublineage IIb clone, yehV was disrupted but sbcB was intact, indicating the loss of the Stx2c-encoding prophage from the SBI site. The more recently emerged sublineage IIb stx2a clone had disrupted SBI sites at sbcB and yehV only, indicating that a Stx2a-encoding phage had been inserted into sbcB, the site left vacant in the stx-negative clone after the loss of stx2c.
Disease Severity of Clinical Cases within the Sublineage IIb Cluster by stx Subtype
Overall, 91.6% patients (230/251, 95% CI 88.1–95.1) had symptoms of diarrhea, and similar percentages were reported regardless of the stx subtype profile of the STEC O157:H7 causing the infection (Table 1). Rates of other symptoms varied; 28.3% of patients (71/251, 95% CI 22.7–33.9) reported vomiting, 35.1% (88/251, 95% CI: 29.1–41.0) experienced bloody diarrhea, and 18.7% (47/251, 95% CI: 13.9–23.5) were hospitalized. Hospitalization occurred more often for patients reporting bloody diarrhea (35.2% [31/88, 95% CI 25.0–45.4]) than those without bloody diarrhea (9.8% [16/163], 95% CI 5.2–14.1; p<0.001). Half (50.0%) of patients infected with stx2a isolates reported bloody diarrhea (69/138, 95% CI 41.5–58.4), compared with 15.6% of patients infected with stx-negative isolates (12/77, 95% CI 7.3–23.9) and 19.4% of those infected with stx2c isolates (7/36, 95% CI 5.9–33.0; p<0.001). No patients were known to experience HUS, and none died.
Among the 251 clinical cases, 141 (56.2%, 95% CI 50.0%–62.3%) were adults and 136 (54.2%, 95% CI 48.0%–60.4%) were female. Adult patients were infected with stx2a strains (61.0% [86/141], 95% CI 52.8%–69.1%) more often than children (47.3% [52/110], 95% CI 37.8%–56.7%; p = 0.030). Conversely, children were more often infected with stx-negative strains than adults: 41.8% (46/110) of children (95% CI 32.4%–51.2%) versus 22.0% (31/141) of adults (95% CI 15.1%–28.9%; p = 0.001). There was also variation in stx subtype by sex; proportionately more female patients were infected with stx2a strains (61.0% [83/136], 95% CI 52.7%–69.3%) than were male patients (47.8% [55/115], 95% CI 38.6%–57.1%; p = 0.036). Adult patients reported bloody diarrhea (46.8% [66/141], 95% CI 38.5%–55.1%) more often than children (20.0% [22/110], 95% CI 12.2%–27.6%; p<0.001), as did female patients (40.4% [55/136], 95% CI 32.1%–48.8%) compared with male patients (28.7% [33/115], 95% CI 20.3%–37.1%), although the difference was not statistically significant (p = 0.05). The proportion of patients hospitalized did not differ significantly by sex or age group (data not shown).
After adjusting for age (adult or child) and sex, the odds ratio of experiencing bloody diarrhea was significantly higher in those infected with the stx2a clone compared with patients infected with the stx-negative clone (Table 2). The odds of bloody diarrhea were no different for cases infected with the stx2c clone than for the stx-negative clone. Among the cases analyzed, being a child was protective for symptoms of bloody diarrhea.
The data described here support previous studies that showed the acquisition and loss of the Stx-encoding phage is highly dynamic in STEC O157:H7 (5,20). Most commonly described is the acquisition of stx1a or stx2a by a STEC O157:H7 stx2c progenitor, followed by the subsequent loss of stx2c in strains that acquired stx2a. The involvement of a stx-negative intermediate in this process, as captured here, has not been previously described. The loss of the Stx2c-encoding phage appears to have facilitated the acquisition of the Stx2a-encoding phage because the latter was inserted into the same SBI site, sbcB, left vacant by the Stx2c-encoding phage.
Using phylogenetic analysis of variation at the whole-genome level, we reconstructed the recent evolutionary history of this emerging pathogenic clone within STEC O157:H7 sublineage IIb. We observed the loss of stx2c from the stx2c progenitor that caused a stx-negative clone ≈20 years ago, followed by the acquisition of stx2a ≈10 years ago, and later expansion as shown in Figure 1. Previously, we showed that the historic acquisition of a Stx2a-encoding bacteriophage by a population of STEC O157:H7 PT2 stx2c, belonging to lineage I/II indigenous in the UK cattle population, was associated with the first outbreaks of childhood HUS in England in the early 1980s (5,7). Subsequently, the increase in the incidence of STEC O157:H7 PT21/28 during the 1990s was linked to the acquisition of stx2a by an indigenous population of STEC O157:H7 stx2c belonging to sublineage Ic, resulting in the highly pathogenic contemporary clone STEC PT21/28 stx2a/stx2c (1,2,5,7). This clone has been associated with several outbreaks in the United Kingdom associated with a high incidence of HUS (10,21–23). Here, we described an E.coli O157:H7 clone from yet another UK domestic lineage (sublineage IIb) that has recently acquired the Stx2a-encoding phage and is showing evidence of increasing pathogenic potential.
The analysis of disease severity of clinical cases by stx subtype of isolates of STEC O157:H7 within the same sublineage IIb cluster showed a significant association between the presence of stx2a and markers of disease severity; specifically, bloody diarrhea linked to higher rates of hospitalization. Previous studies have reported evidence of increased pathogenicity of STEC harboring stx2a (4,5). However, these studies report on STEC from a wide range of different serotypes, exhibiting a wide variety of stx subtypes and are based on relatively small datasets. In this study, we present the analysis of a large dataset focusing on a specific clade within a single serotype characterized by a limited number of stx subtype combinations, specifically stx2c, stx negative, and stx2a only. This analysis enabled us to make direct comparisons between specific stx profiles while limiting the influence of other factors in the genome.
Strains of Stx-negative E. coli O157:H7 are regarded as atypical enteropathogenic E. coli (EPEC), defined by the presence of the intimin gene (eae) and the absence of stx and the E. coli adherence factor (EAF) plasmid (24). EPEC are a common cause of infantile diarrhea and travelers’ diarrhea and are known to cause mild diarrhea in adults (25). In this study, the fact that clinical cases infected with the E. coli O157:H7 stx-negative clone reported a similar frequency of symptoms, including bloody diarrhea and hospitalization, as those infected with STEC O157:H7 stx2c despite the loss of stx was an unexpected finding that requires further investigation.
A timed phylogenetic reconstruction of the evolutionary history of a cluster of sublineage IIb charted the recent emergence of a highly pathogenic clone of STEC O157:H7 stx2a. The symptom of bloody diarrhea, a marker of severity and predictor of HUS development (2), was strongly associated with cases infected with isolates of STEC O157:H7 harboring stx2a compared with those isolates without stx or those with stx2c. Our analysis also illustrated the highly dynamic nature of the Stx-encoding phages. In contrast to the observed excision events of stx2c-encoding phages in O157:H7, there is evidence to suggest that once a Stx2a-encoding phage is integrated into a population it tends to be maintained (5). As such, the emergence of yet another sublineage of STEC O157:H7 acquiring stx2a is of public health concern. Through this study, we demonstrate that STEC O157:H7 WGS surveillance data have a role in monitoring and anticipating emerging threats to public health and in contributing to our understanding of the underlying pathogenic mechanisms associated with severe gastrointestinal illness.
Dr. Byrne is the lead epidemiologist for STEC at the National Infection Service, Public Health England, London, UK. Her interests include public health surveillance of STEC and hemolytic uremic syndrome and the investigation of outbreaks of foodborne gastrointestinal disease.
Acknowledgments
We thank Florence Aromona, Lukeki Kaindama, Nalini Purohit, and Mike Harte for their contributions to the National Enhanced Surveillance System for STEC in England, and all public health practitioners who report to the system. We also thank all the laboratory staff in the Gastrointestinal Bacteria Reference Unit, especially Michela Wright, Amy Gentle, Neil Perry, and Dawn Hedges.
The research was funded by the National Institute for Health Research (NIHR) Health Protection Research Unit (in Gastrointestinal Infections at University of Liverpool in partnership with Public Health England, in collaboration with University of East Anglia, University of Oxford, and the Quadram Institute. The views expressed are those of the authors and not necessarily those of the National Health Service, the NIHR, the Department of Health, or Public Health England.
References
- Byrne L, Jenkins C, Launders N, Elson R, Adak GK. The epidemiology, microbiology and clinical impact of Shiga toxin-producing Escherichia coli in England, 2009-2012. Epidemiol Infect. 2015;143:3475–87. DOIPubMedGoogle Scholar
- Launders N, Byrne L, Jenkins C, Harker K, Charlett A, Adak GK. Disease severity of Shiga toxin-producing E. coli O157 and factors influencing the development of typical haemolytic uraemic syndrome: a retrospective cohort study, 2009-2012. BMJ Open. 2016;6:e009933. DOIPubMedGoogle Scholar
- Croxen MA, Law RJ, Scholz R, Keeney KM, Wlodarska M, Finlay BB. Recent advances in understanding enteric pathogenic Escherichia coli. Clin Microbiol Rev. 2013;26:822–80. DOIPubMedGoogle Scholar
- Persson S, Olsen KE, Ethelberg S, Scheutz F. Subtyping method for Escherichia coli shiga toxin (verocytotoxin) 2 variants and correlations to clinical manifestations. J Clin Microbiol. 2007;45:2020–4. DOIPubMedGoogle Scholar
- Dallman TJ, Ashton PM, Byrne L, Perry NT, Petrovska L, Ellis R, et al. Applying phylogenomics to understand the emergence of Shiga-toxin-producing Escherichia coli O157:H7 strains causing severe human disease in the UK. Microb Genom. 2015;1:e000029. DOIPubMedGoogle Scholar
- Zhang Y, Laing C, Steele M, Ziebell K, Johnson R, Benson AK, et al. Genome evolution in major Escherichia coli O157:H7 lineages. BMC Genomics. 2007;8:121. DOIPubMedGoogle Scholar
- Adams NL, Byrne L, Smith GA, Elson R, Harris JP, Salmon R, et al. Shiga toxin–producing Escherichia coli O157, England and Wales, 1983–2012. Emerg Infect Dis. 2016;22:590–7. DOIPubMedGoogle Scholar
- Dallman TJ, Byrne L, Ashton PM, Cowley LA, Perry NT, Adak G, et al. Whole-genome sequencing for national surveillance of Shiga toxin-producing Escherichia coli O157. Clin Infect Dis. 2015;61:305–12. DOIPubMedGoogle Scholar
- Jenkins C, Dallman TJ, Launders N, Willis C, Byrne L, Jorgensen F, et al. Public health investigation of two outbreaks of Shiga toxin–producing Escherichia coli O157 associated with consumption of watercress. Appl Environ Microbiol. 2015;81:3946–52. DOIPubMedGoogle Scholar
- Butcher H, Elson R, Chattaway MA, Featherstone CA, Willis C, Jorgensen F, et al. Whole genome sequencing improved case ascertainment in an outbreak of Shiga toxin-producing Escherichia coli O157 associated with raw drinking milk. Epidemiol Infect. 2016;144:2812–23. DOIPubMedGoogle Scholar
- Mikhail AFW, Jenkins C, Dallman TJ, Inns T, Martín AIC, Fox A, et al. An outbreak of Shiga toxin-producing Escherichia coli O157:H7 associated with contaminated salad leaves: epidemiological, genomic and food trace back investigations. Epidemiol Infect. 2018;146:187–96. DOIPubMedGoogle Scholar
- Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114–20. DOIPubMedGoogle Scholar
- Li H, Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 2010;26:589–95. DOIPubMedGoogle Scholar
- McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20:1297–303. DOIPubMedGoogle Scholar
- Dallman T, Ashton P, Schafer U, Jironkin A, Painset A, Shaaban S, et al. SnapperDB: A database solution for routine sequencing analysis of bacterial isolates. Bioinformatics. 2018;34:3028–9. DOIPubMedGoogle Scholar
- Croucher NJ, Page AJ, Connor TR, Delaney AJ, Keane JA, Bentley SD, et al. Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins. Nucleic Acids Res. 2015;43:e15. DOIPubMedGoogle Scholar
- Drummond AJ, Suchard MA, Xie D, Rambaut A. Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol Biol Evol. 2012;29:1969–73. DOIPubMedGoogle Scholar
- Ashton PM, Perry N, Ellis R, Petrovska L, Wain J, Grant KA, et al. Insight into Shiga toxin genes encoded by Escherichia coli O157 from whole genome sequencing. PeerJ. 2015;3:e739. DOIPubMedGoogle Scholar
- Milne I, Bayer M, Stephen G, Cardle L, Marshall D. Tablet: visualizing next-generation sequence assemblies and mappings. Methods Mol Biol. 2016;1374:253–68. DOIPubMedGoogle Scholar
- Kyle JL, Cummings CA, Parker CT, Quiñones B, Vatta P, Newton E, et al. Escherichia coli serotype O55:H7 diversity supports parallel acquisition of bacteriophage at Shiga toxin phage insertion sites during evolution of the O157:H7 lineage. J Bacteriol. 2012;194:1885–96. DOIPubMedGoogle Scholar
- Ihekweazu C, Carroll K, Adak B, Smith G, Pritchard GC, Gillespie IA, et al. Large outbreak of verocytotoxin-producing Escherichia coli O157 infection in visitors to a petting farm in South East England, 2009. Epidemiol Infect. 2012;140:1400–13. DOIPubMedGoogle Scholar
- Rowell S, King C, Jenkins C, Dallman TJ, Decraene V, Lamden K, et al. An outbreak of Shiga toxin-producing Escherichia coli serogroup O157 linked to a lamb-feeding event. Epidemiol Infect. 2016;144:2494–500. DOIPubMedGoogle Scholar
- Wilson D, Dolan G, Aird H, Sorrell S, Dallman TJ, Jenkins C, et al. Farm-to-fork investigation of an outbreak of Shiga toxin–producing Escherichia coli O157. Microb Genom. 2018;4.
- Trabulsi LR, Keller R, Tardelli Gomes TA. Typical and atypical enteropathogenic Escherichia coli. [Review]. Emerg Infect Dis. 2002;8:508–13. DOIPubMedGoogle Scholar
- Sakkejha H, Byrne L, Lawson AJ, Jenkins C. An update on the microbiology and epidemiology of enteropathogenic Escherichia coli in England 2010-2012. J Med Microbiol. 2013;62:1531–4. DOIPubMedGoogle Scholar
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Cite This ArticleOriginal Publication Date: November 06, 2018
1These first authors contributed equally to this article.
Table of Contents – Volume 24, Number 12—December 2018
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Please use the form below to submit correspondence to the authors or contact them at the following address:
Claire Jenkins, Public Health England, Gastrointestinal Bacteria Reference Unit, 61 Colindale Ave, London, NW9 5HT, UK
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