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Genome sequences of the Shiga-like toxin-producing Escherichia coli NCCP15655 and NCCP15656

Overview of attention for article published in Gut Pathogens, May 2015
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Title
Genome sequences of the Shiga-like toxin-producing Escherichia coli NCCP15655 and NCCP15656
Published in
Gut Pathogens, May 2015
DOI 10.1186/s13099-015-0060-6
Pubmed ID
Authors

Min-Jung Kwak, Soon-Kyeong Kwon, Seung-Hak Cho, Jihyun F Kim

Abstract

Virulence genes can spread among commensal bacteria through horizontal gene transfer. The bacterium with novel virulence factors may pose a severe threat to public health because of the absence of a management system unlike known pathogens. Especially, when a pathogenic bacterium acquires a new kind of virulence genes, it tends to exhibit stronger virulence. In this study, we analyzed the genomes of the two strains of Escherichia coli that were isolated from the feces of patients with diarrhea and produce Shiga-like toxin. Phylogenetic analysis of conserved genes and average nucleotide identity values of the draft genome sequences indicate that strains NCCP15655 and NCCP15656, isolated from diarrhea patients, belong to the B1 group of E. coli and form a sister clade with strain E24377A. However, the proportion the genes belonging to the subsystem category "phages, prophages, transposable elements, plasmids" and "virulence, disease and defense" are higher than E24377A. Indeed, in their genomes, genes encoding Shiga toxin type 1, Shiga toxin type 2, and type 1 fimbriae were detected. Moreover, a plasmid encoding hemolysin and entropathogenic E. coli secreted protein C was identified in both genomes. Through the genome analysis of NCCP15655 and NCCP15656, we identified two types of Shiga-like toxin genes that could be responsible for the manifestation of the diarrhea symptom. However, the LEE island, which is one of the major virulence factors of enterohemorrhagic E. coli, was not detected and they are most similar with non-Shiga-like toxin-producing E. coli at the genomic level. NCCP15655 and NCCP15656 will be good examples of Shiga-like toxin-producing E. coli whose genomes are not as similar with typical enterohemorrhagic E. coli as non-Shiga-like toxin-producing E. coli.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Bachelor 3 23%
Researcher 2 15%
Student > Master 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Immunology and Microbiology 6 46%
Agricultural and Biological Sciences 3 23%
Biochemistry, Genetics and Molecular Biology 2 15%
Unknown 2 15%
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 21 May 2015.
All research outputs
#15,331,767
of 22,803,211 outputs
Outputs from Gut Pathogens
#293
of 522 outputs
Outputs of similar age
#156,513
of 264,485 outputs
Outputs of similar age from Gut Pathogens
#8
of 8 outputs
Altmetric has tracked 22,803,211 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 522 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 36th percentile – i.e., 36% 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 264,485 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.