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Pseudogenization of the Secreted Effector Gene sseI Confers Rapid Systemic Dissemination of S. Typhimurium ST313 within Migratory Dendritic Cells

Overview of attention for article published in Cell Host & Microbe (Science Direct), February 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
12 X users

Readers on

mendeley
98 Mendeley
citeulike
1 CiteULike
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Article details
Title
Pseudogenization of the Secreted Effector Gene sseI Confers Rapid Systemic Dissemination of S. Typhimurium ST313 within Migratory Dendritic Cells
Published in
Cell Host & Microbe (Science Direct), February 2017
DOI 10.1016/j.chom.2017.01.009
Pubmed ID
Authors
Abstract

Genome degradation correlates with host adaptation and systemic disease in Salmonella. Most lineages of the S. enterica subspecies Typhimurium cause gastroenteritis in humans; however, the recently emerged ST313 lineage II pathovar commonly causes systemic bacteremia in sub-Saharan Africa. ST313 lineage II displays genome degradation compared to gastroenteritis-associated lineages; yet, the mechanisms and causal genetic differences mediating these infection phenotypes are largely unknown. We find that the ST313 isolate D23580 hyperdisseminates from the gut to systemic sites, such as the mesenteric lymph nodes (MLNs), via CD11b(+) migratory dendritic cells (DCs). This hyperdissemination was facilitated by the loss of sseI, which encodes an effector that inhibits DC migration in gastroenteritis-associated isolates. Expressing functional SseI in D23580 reduced the number of infected migratory DCs and bacteria in the MLN. Our study reveals a mechanism linking pseudogenization of effectors with the evolution of niche adaptation in a bacterial pathogen.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 19%
Student > Master 13 13%
Researcher 7 7%
Student > Doctoral Student 5 5%
Student > Postgraduate 4 4%
Other 15 15%
Unknown 35 36%
Readers by discipline
Readers by discipline Count As %
Immunology and Microbiology 18 18%
Agricultural and Biological Sciences 17 17%
Medicine and Dentistry 10 10%
Biochemistry, Genetics and Molecular Biology 8 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 2 2%
Unknown 41 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 10 January 2018.
All research outputs
#1,043,221
of 34,372,222 outputs
Outputs from Cell Host & Microbe (Science Direct)
#680
of 3,237 outputs
Outputs of similar age
#17,152
of 470,430 outputs
Outputs of similar age from Cell Host & Microbe (Science Direct)
#10
of 54 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,237 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.1. This one has done well, scoring higher than 78% 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 470,430 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.