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Cited by 508

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Persistence of Extracellular DNA in River Sediment Facilitates Antibiotic Resistance Gene Propagation

Mao, Daqing, Luo, Yi, Mathieu, Jacques, Wang, Qing, Feng, Ling, Mu, Quanhua, Feng, Chunyan, Alvarez, P. J. J.·2014·Environmental Science & Technology

Abstract

The propagation of antibiotic resistance genes (ARGs) represents a global threat to both human health and food security. Assessment of ARG reservoirs and persistence is therefore critical for devising and evaluating strategies to mitigate ARG propagation. This study developed a novel, internal standard method to extract extracellular DNA (eDNA) and intracellular DNA (iDNA) from water and sediments, and applied it to determine the partitioning of ARGs in the Haihe River basin in China, which drains an area of intensive antibiotic use. The concentration of eDNA was higher than iDNA in sediment samples, likely due to the enhanced persistence of eDNA when associated with clay particles and organic matter. Concentrations of sul1, sul2, tetW, and tetT antibiotic resistance genes were significantly higher in sediment than in water, and were present at higher concentrations as eDNA than as iDNA in sediment. Whereas ARGs (frequently located on plasmid DNA) were detected for over 20 weeks, chromosomally encoded 16S rRNA genes were undetectable after 8 weeks, suggesting higher persistence of plasmid-borne ARGs in river sediment. Transformation of indigenous bacteria with added extracellular ARG (i.e., kanamycin resistance genes) was also observed. Therefore, this study shows that extracellular DNA in sediment is a major ARG reservoir that could facilitate antibiotic resistance propagation.

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Metadata

Authors
Mao, D., Luo, Y., Mathieu, J., Wang, Q., Feng, L., Mu, Q., Feng, C., & Alvarez, P. J. J.
Venue
Environmental Science & Technology
Published
2013-12-11
Volume
48
Issue
1
Pages
71-78
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2099670883
Cited by
508
References
39
FWCI
7.83
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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