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Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping

Overview of attention for article published in Frontiers in Microbiology, May 2018
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Title
Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping
Published in
Frontiers in Microbiology, May 2018
DOI 10.3389/fmicb.2018.00836
Pubmed ID
Authors

Walid Mottawea, Marc-Olivier Duceppe, Andrée A. Dupras, Valentine Usongo, Julie Jeukens, Luca Freschi, Jean-Guillaume Emond-Rheault, Jeremie Hamel, Irena Kukavica-Ibrulj, Brian Boyle, Alexander Gill, Elton Burnett, Eelco Franz, Gitanjali Arya, Joel T. Weadge, Samantha Gruenheid, Martin Wiedmann, Hongsheng Huang, France Daigle, Sylvain Moineau, Sadjia Bekal, Roger C. Levesque, Lawrence D. Goodridge, Dele Ogunremi

Abstract

Non-typhoidal Salmonella is a leading cause of foodborne illness worldwide. Prompt and accurate identification of the sources of Salmonella responsible for disease outbreaks is crucial to minimize infections and eliminate ongoing sources of contamination. Current subtyping tools including single nucleotide polymorphism (SNP) typing may be inadequate, in some instances, to provide the required discrimination among epidemiologically unrelated Salmonella strains. Prophage genes represent the majority of the accessory genes in bacteria genomes and have potential to be used as high discrimination markers in Salmonella. In this study, the prophage sequence diversity in different Salmonella serovars and genetically related strains was investigated. Using whole genome sequences of 1,760 isolates of S. enterica representing 151 Salmonella serovars and 66 closely related bacteria, prophage sequences were identified from assembled contigs using PHASTER. We detected 154 different prophages in S. enterica genomes. Prophage sequences were highly variable among S. enterica serovars with a median ± interquartile range (IQR) of 5 ± 3 prophage regions per genome. While some prophage sequences were highly conserved among the strains of specific serovars, few regions were lineage specific. Therefore, strains belonging to each serovar could be clustered separately based on their prophage content. Analysis of S. Enteritidis isolates from seven outbreaks generated distinct prophage profiles for each outbreak. Taken altogether, the diversity of the prophage sequences correlates with genome diversity. Prophage repertoires provide an additional marker for differentiating S. enterica subtypes during foodborne outbreaks.

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X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Researcher 7 9%
Student > Master 7 9%
Student > Doctoral Student 7 9%
Student > Bachelor 6 8%
Other 19 24%
Unknown 16 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 25%
Agricultural and Biological Sciences 13 16%
Immunology and Microbiology 11 14%
Veterinary Science and Veterinary Medicine 3 4%
Unspecified 2 3%
Other 5 6%
Unknown 25 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2018.
All research outputs
#14,733,227
of 24,823,556 outputs
Outputs from Frontiers in Microbiology
#11,679
of 28,315 outputs
Outputs of similar age
#173,933
of 332,330 outputs
Outputs of similar age from Frontiers in Microbiology
#306
of 604 outputs
Altmetric has tracked 24,823,556 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 28,315 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 332,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 604 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.