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Key features of mcr-1-bearing plasmids from Escherichia coli isolated from humans and food

Overview of attention for article published in Antimicrobial Resistance & Infection Control, September 2017
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Title
Key features of mcr-1-bearing plasmids from Escherichia coli isolated from humans and food
Published in
Antimicrobial Resistance & Infection Control, September 2017
DOI 10.1186/s13756-017-0250-8
Pubmed ID
Authors

Katrin Zurfluh, Magdalena Nüesch-Inderbinen, Jochen Klumpp, Laurent Poirel, Patrice Nordmann, Roger Stephan

Abstract

Mcr-1-harboring Enterobacteriaceae are reported worldwide since their first discovery in 2015. However, a limited number of studies are available that compared full-length plasmid sequences of human and animal origins. In this study, mcr-1-bearing plasmids from seven Escherichia coli isolates recovered from patients (n = 3), poultry meat (n = 2) and turkey meat (n = 2) in Switzerland were further analyzed and compared. Isolates were characterized by multilocus sequence typing (MLST). The mcr-1-bearing plasmids were transferred by transformation into reference strain E. coli DH5α and MCR-1-producing transformants were selected on LB-agar supplemented with 2 mg/L colistin. Purified plasmids were then sequenced and compared. MLST revealed six distinct STs, illustrating the high clonal diversity among mcr-1-positive E. coli isolates of different origins. Two different mcr-1-positive plasmids were identified from a single E. coli ST48 human isolate. All other isolates possessed a single mcr-1 harboring plasmid. Transferable IncI2 (size ca. 60-61 kb) and IncX4 (size ca. 33-35 kb) type plasmids each bearing mcr-1 were found associated with human and food isolates. None of the mcr-1-positive IncI2 and IncX4 plasmids possessed any additional resistance determinants. Surprisingly, all but one of the sequenced mcr-1-positive plasmids lacked the ISApl1 element, which is a key element mediating acquisition of mcr-1 into various plasmid backbones. There is strong evidence that the food chain may be an important transmission route for mcr-1-bearing plasmids. Our data suggest that some "epidemic" plasmids rather than specific E. coli clones might be responsible for the spread of the mcr-1 gene along the food chain.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 25%
Student > Ph. D. Student 9 12%
Student > Master 8 11%
Student > Bachelor 7 9%
Student > Doctoral Student 3 4%
Other 11 14%
Unknown 19 25%
Readers by discipline Count As %
Immunology and Microbiology 15 20%
Biochemistry, Genetics and Molecular Biology 10 13%
Agricultural and Biological Sciences 7 9%
Medicine and Dentistry 7 9%
Veterinary Science and Veterinary Medicine 5 7%
Other 5 7%
Unknown 27 36%
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 03 October 2017.
All research outputs
#13,677,718
of 24,003,070 outputs
Outputs from Antimicrobial Resistance & Infection Control
#789
of 1,347 outputs
Outputs of similar age
#151,933
of 318,657 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#20
of 29 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 318,657 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.