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Evolution of Salmonella-Host Cell Interactions through a Dynamic Bacterial Genome

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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230 Mendeley
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Title
Evolution of Salmonella-Host Cell Interactions through a Dynamic Bacterial Genome
Published in
Frontiers in Cellular and Infection Microbiology, September 2017
DOI 10.3389/fcimb.2017.00428
Pubmed ID
Authors

Bushra Ilyas, Caressa N. Tsai, Brian K. Coombes

Abstract

Salmonella Typhimurium has a broad arsenal of genes that are tightly regulated and coordinated to facilitate adaptation to the various host environments it colonizes. The genome of Salmonella Typhimurium has undergone multiple gene acquisition events and has accrued changes in non-coding DNA that have undergone selection by regulatory evolution. Together, at least 17 horizontally acquired pathogenicity islands (SPIs), prophage-associated genes, and changes in core genome regulation contribute to the virulence program of Salmonella. Here, we review the latest understanding of these elements and their contributions to pathogenesis, emphasizing the regulatory circuitry that controls niche-specific gene expression. In addition to an overview of the importance of SPI-1 and SPI-2 to host invasion and colonization, we describe the recently characterized contributions of other SPIs, including the antibacterial activity of SPI-6 and adhesion and invasion mediated by SPI-4. We further discuss how these fitness traits have been integrated into the regulatory circuitry of the bacterial cell through cis-regulatory evolution and by a careful balance of silencing and counter-silencing by regulatory proteins. Detailed understanding of regulatory evolution within Salmonella is uncovering novel aspects of infection biology that relate to host-pathogen interactions and evasion of host immunity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 230 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 20%
Student > Master 35 15%
Student > Bachelor 28 12%
Researcher 20 9%
Student > Doctoral Student 12 5%
Other 19 8%
Unknown 71 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 59 26%
Immunology and Microbiology 29 13%
Agricultural and Biological Sciences 28 12%
Veterinary Science and Veterinary Medicine 15 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 15 7%
Unknown 80 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 26 July 2023.
All research outputs
#3,153,381
of 25,845,895 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#606
of 8,290 outputs
Outputs of similar age
#55,452
of 330,667 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#13
of 102 outputs
Altmetric has tracked 25,845,895 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,290 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 92% 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 330,667 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.