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Interaction between Mutations and Regulation of Gene Expression during Development of De Novo Antibiotic Resistance

Overview of attention for article published in Antimicrobial Agents and Chemotherapy, May 2014
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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1 news outlet
policy
1 policy source
twitter
4 X users

Citations

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42 Dimensions

Readers on

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169 Mendeley
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Title
Interaction between Mutations and Regulation of Gene Expression during Development of De Novo Antibiotic Resistance
Published in
Antimicrobial Agents and Chemotherapy, May 2014
DOI 10.1128/aac.02892-14
Pubmed ID
Authors

Nadine Händel, Jasper M. Schuurmans, Yanfang Feng, Stanley Brul, Benno H. ter Kuile

Abstract

Bacteria can become resistant not only by horizontal gene transfer or other forms of exchange of genetic information but also by de novo by adaptation at the gene expression level and through DNA mutations. The interrelationship between changes in gene expression and DNA mutations during acquisition of resistance is not well documented. In addition, it is not known whether the DNA mutations leading to resistance always occur in the same order and whether the final result is always identical. The expression of >4,000 genes in Escherichia coli was compared upon adaptation to amoxicillin, tetracycline, and enrofloxacin. During adaptation, known resistance genes were sequenced for mutations that cause resistance. The order of mutations varied within two sets of strains adapted in parallel to amoxicillin and enrofloxacin, respectively, whereas the buildup of resistance was very similar. No specific mutations were related to the rather modest increase in tetracycline resistance. Ribosome-sensed induction and efflux pump activation initially protected the cell through induction of expression and allowed it to survive low levels of antibiotics. Subsequently, mutations were promoted by the stress-induced SOS response that stimulated modulation of genetic instability, and these mutations resulted in resistance to even higher antibiotic concentrations. The initial adaptation at the expression level enabled a subsequent trial and error search for the optimal mutations. The quantitative adjustment of cellular processes at different levels accelerated the acquisition of antibiotic resistance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Netherlands 1 <1%
Russia 1 <1%
Unknown 165 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 21%
Student > Bachelor 25 15%
Researcher 24 14%
Student > Master 16 9%
Other 11 7%
Other 22 13%
Unknown 35 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 24%
Biochemistry, Genetics and Molecular Biology 38 22%
Immunology and Microbiology 14 8%
Medicine and Dentistry 9 5%
Pharmacology, Toxicology and Pharmaceutical Science 9 5%
Other 19 11%
Unknown 40 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 01 August 2020.
All research outputs
#2,417,661
of 25,371,288 outputs
Outputs from Antimicrobial Agents and Chemotherapy
#1,213
of 15,580 outputs
Outputs of similar age
#23,658
of 240,993 outputs
Outputs of similar age from Antimicrobial Agents and Chemotherapy
#20
of 234 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,580 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 240,993 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 90% of its contemporaries.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.