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Multiple adaptive routes of Salmonella enterica Typhimurium to biocide and antibiotic exposure

Overview of attention for article published in BMC Genomics, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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2 policy sources
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8 X users
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1 Redditor

Citations

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40 Dimensions

Readers on

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111 Mendeley
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Title
Multiple adaptive routes of Salmonella enterica Typhimurium to biocide and antibiotic exposure
Published in
BMC Genomics, July 2016
DOI 10.1186/s12864-016-2778-z
Pubmed ID
Authors

Tânia Curiao, Emmanuela Marchi, Denis Grandgirard, Ricardo León-Sampedro, Carlo Viti, Stephen L. Leib, Fernando Baquero, Marco R. Oggioni, José Luis Martinez, Teresa M. Coque

Abstract

Biocides and antibiotics are used to eradicate or prevent the growth of microbial species on surfaces (occasionally on catheters), or infected sites, either in combination or sequentially, raising concerns about the development of co-resistance to both antimicrobial types. The effect of such compounds on Salmonella enterica, a major food-borne and zoonotic pathogen, has been analysed in different studies, but only few works evaluated its biological cost, and the overall effects at the genomic and transcriptomic levels associated with diverse phenotypes resulting from biocide exposure, which was the aim of this work. Exposure to triclosan, clorhexidine, benzalkonium, (but not to hypochlorite) resulted in mutants with different phenotypes to a wide range of antimicrobials even unrelated to the selective agent. Most biocide-resistant mutants showed increased susceptibility to compounds acting on the cell wall (β-lactams) or the cell membranes (poly-L-lysine, polymyxin B, colistin or toxic anions). Mutations (SNPs) were found in three intergenic regions and nine genes, which have a role in energy production, amino acids, carbohydrates or lipids metabolism, some of them involved in membrane transport and pathogenicity. Comparative transcriptomics of biocide-resistant mutants showed over-expression of genes encoding efflux pumps (sugE), ribosomal and transcription-related proteins, cold-shock response (cpeE) and enzymes of microaerobic metabolism including those of the phosphotransferase system. Mainly ribosomal, metabolic and pathogenicity-related genes had affected expression in both in vitro-selected biocide mutants and field Salmonella isolates with reduced biocide susceptibility. Multiple pathways can be involved in the adaptation of Salmonella to biocides, mainly related with global stress, or involving metabolic and membrane alterations, and eventually causing "collateral sensitivity" to other antimicrobials. These changes might impact the bacterial-environment interaction, imposing significant bacterial fitness costs which may reduce the chances of fixation and spread of biocide resistant mutants.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 19%
Researcher 21 19%
Student > Master 16 14%
Student > Bachelor 9 8%
Student > Doctoral Student 5 5%
Other 13 12%
Unknown 26 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 17%
Biochemistry, Genetics and Molecular Biology 16 14%
Immunology and Microbiology 13 12%
Medicine and Dentistry 9 8%
Veterinary Science and Veterinary Medicine 7 6%
Other 21 19%
Unknown 26 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 15 June 2020.
All research outputs
#3,288,634
of 22,880,691 outputs
Outputs from BMC Genomics
#1,284
of 10,666 outputs
Outputs of similar age
#62,073
of 354,681 outputs
Outputs of similar age from BMC Genomics
#37
of 255 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,666 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 87% 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 354,681 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 82% of its contemporaries.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.