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Attack of the clones: whole genome-based characterization of two closely related enterohemorrhagic Escherichia coli O26 epidemic lineages

Overview of attention for article published in BMC Genomics, August 2018
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Title
Attack of the clones: whole genome-based characterization of two closely related enterohemorrhagic Escherichia coli O26 epidemic lineages
Published in
BMC Genomics, August 2018
DOI 10.1186/s12864-018-5045-7
Pubmed ID
Authors

Lucia Karnisova, Monika Marejkova, Hana Hrbackova, Alexander Mellmann, Helge Karch, Angelika Fruth, Pavel Drevinek, Kveta Blahova, Martina Bielaszewska, Jaroslav Nunvar

Abstract

Enterohemorrhagic Escherichia coli (EHEC) O26:H11/H-, the most common non-O157 serotype causing hemolytic uremic syndrome worldwide, are evolutionarily highly dynamic with new pathogenic clones emerging rapidly. Here, we investigated the population structure of EHEC O26 isolated from patients in several European countries using whole genome sequencing, with emphasis on a detailed analysis of strains of the highly virulent new European clone (nEC) which has spread since 1990s. Genome-wide single nucleotide polymorphism (SNP)-based analysis of 32 EHEC O26 isolated in the Czech Republic, Germany, Austria and Italy demonstrated a split of the nEC (ST29C2 clonal group) into two distinct lineages, which we termed, based on their temporal emergence, as "early" nEC and "late" nEC. The evolutionary divergence of the early nEC and late nEC is marked by the presence of 59 and 70 lineage-specific SNPs (synapomorphic mutations) in the genomes of the respective lineages. In silico analyses of publicly available E. coli O26 genomic sequences identified the late nEC lineage worldwide. Using a PCR designed to target the late nEC synapomorphic mutation in the sen/ent gene, we identified the early nEC decline accompanied by the late nEC rise in Germany and the Czech Republic since 2004 and 2013, respectively. Most of the late nEC strains harbor one of two major types of Shiga toxin 2a (Stx2a)-encoding prophages. The type I stx2a-phage is virtually identical to stx2a-phage of EHEC O104:H4 outbreak strain, whereas the type II stx2a-phage is a hybrid of EHEC O104:H4 and EHEC O157:H7 stx2a-phages and carries a novel mutation in Stx2a. Strains harboring these two phage types do not differ by the amounts and biological activities of Stx2a produced. Using SNP-level analyses, we provide the evidence of the evolutionary split of EHEC O26:H11/H- nEC into two distinct lineages, and a recent replacement of the early nEC by the late nEC in Germany and the Czech Republic. PCR targeting the late nEC synapomorphic mutation in ent/sen enables the discrimination of early nEC strains and late nEC strains in clinical and environmental samples, thereby facilitating further investigations of their geographic distribution, prevalence, clinical significance and epidemiology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Researcher 6 22%
Student > Master 4 15%
Student > Postgraduate 3 11%
Professor 1 4%
Other 2 7%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 33%
Biochemistry, Genetics and Molecular Biology 4 15%
Medicine and Dentistry 3 11%
Immunology and Microbiology 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 2 7%
Unknown 5 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 May 2020.
All research outputs
#15,544,609
of 23,102,082 outputs
Outputs from BMC Genomics
#6,724
of 10,709 outputs
Outputs of similar age
#212,141
of 335,278 outputs
Outputs of similar age from BMC Genomics
#103
of 182 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,709 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.