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Antibiotic Resistance Gene Abundances Correlate with Metal and Geochemical Conditions in Archived Scottish Soils

Overview of attention for article published in PLOS ONE, November 2011
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Title
Antibiotic Resistance Gene Abundances Correlate with Metal and Geochemical Conditions in Archived Scottish Soils
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027300
Pubmed ID
Authors

Charles W. Knapp, Seánín M. McCluskey, Brajesh K. Singh, Colin D. Campbell, Gordon Hudson, David W. Graham

Abstract

The vast majority of antibiotic resistant genes (ARG) acquired by human pathogens have originated from the natural environment. Therefore, understanding factors that influence intrinsic levels of ARG in the environment could be epidemiologically significant. The selection for metal resistance often promotes AR in exposed organisms; however, the relationship between metal levels in nature and the intrinsic presence of ARG has not been fully assessed. Here, we quantified, using qPCR, the abundance of eleven ARG and compared their levels with geochemical conditions in randomly selected soils from a Scottish archive. Many ARG positively correlated with soil copper levels, with approximately half being highly significant (p<0.05); whereas chromium, nickel, lead, and iron also significantly correlated with specific ARG. Results show that geochemical metal conditions innately influence the potential for AR in soil. We suggest soil geochemical data might be used to estimate baseline gene presence on local, regional and global scales within epidemiological risk studies related to AR transmission from the environment.

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The data shown below were compiled from readership statistics for 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
Belgium 2 <1%
France 1 <1%
Israel 1 <1%
Sri Lanka 1 <1%
Portugal 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 298 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 24%
Researcher 45 15%
Student > Master 40 13%
Student > Bachelor 32 10%
Student > Doctoral Student 15 5%
Other 43 14%
Unknown 60 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 19%
Environmental Science 50 16%
Biochemistry, Genetics and Molecular Biology 44 14%
Immunology and Microbiology 22 7%
Engineering 16 5%
Other 34 11%
Unknown 83 27%