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Whole genome sequencing provides insights into the genetic determinants of invasiveness in Salmonella Dublin

Overview of attention for article published in Epidemiology & Infection, March 2016
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Title
Whole genome sequencing provides insights into the genetic determinants of invasiveness in Salmonella Dublin
Published in
Epidemiology & Infection, March 2016
DOI 10.1017/s0950268816000492
Pubmed ID
Authors

M. MOHAMMED, M. CORMICAN

Abstract

Salmonella enterica subsp. enterica serovar Dublin (S. Dublin) is one of the non-typhoidal Salmonella (NTS); however, a relatively high proportion of human infections are associated with invasive disease. We applied whole genome sequencing to representative invasive and non-invasive clinical isolates of S. Dublin to determine the genomic variations among them and to investigate the underlying genetic determinants associated with invasiveness in S. Dublin. Although no particular genomic variation was found to differentiate in invasive and non-invasive isolates four virulence factors were detected within the genome of all isolates including two different type VI secretion systems (T6SS) encoded on two Salmonella pathogenicity islands (SPI), including SPI-6 (T6SSSPI-6) and SPI-19 (T6SSSPI-19), an intact lambdoid prophage (Gifsy-2-like prophage) that contributes significantly to the virulence and pathogenesis of Salmonella serotypes in addition to a virulence plasmid. These four virulence factors may all contribute to the potential of S. Dublin to cause invasive disease in humans.

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The data shown below were collected from the profile of 1 X user 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Researcher 4 13%
Student > Master 3 10%
Other 2 6%
Unspecified 1 3%
Other 1 3%
Unknown 11 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 13%
Agricultural and Biological Sciences 3 10%
Immunology and Microbiology 3 10%
Medicine and Dentistry 2 6%
Veterinary Science and Veterinary Medicine 2 6%
Other 4 13%
Unknown 13 42%
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 22 March 2016.
All research outputs
#22,760,732
of 25,377,790 outputs
Outputs from Epidemiology & Infection
#4,397
of 4,680 outputs
Outputs of similar age
#270,789
of 313,631 outputs
Outputs of similar age from Epidemiology & Infection
#41
of 45 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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