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The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Long-Term Nickel Contamination Increases the Occurrence of Antibiotic Resistance Genes in Agricultural Soils

Open access
Hu, Hang-Wei, Wang, Jun-Tao, Li, Jing, Shi, Xiu-Zhen, Ma, Yi-Bing, Chen, Deli, He, Ji-Zheng·2017·Environmental Science & Technology

Abstract

Heavy metal contamination is assumed to be a selection pressure on antibiotic resistance, but to our knowledge, evidence of the heavy metal-induced changes of antibiotic resistance is lacking on a long-term basis. Using quantitative PCR array and Illumina sequencing, we investigated the changes of a wide spectrum of soil antibiotic resistance genes (ARGs) following 4–5 year nickel exposure (0–800 mg kg –1 ) in two long-term experimental sites. A total of 149 unique ARGs were detected, with multidrug and β-lactam resistance as the most prevailing ARG types. The frequencies and abundance of ARGs tended to increase along the gradient of increasing nickel concentrations, with the highest values recorded in the treatments amended with 400 mg nickel kg –1 soil. The abundance of mobile genetic elements (MGEs) was significantly associated with ARGs, suggesting that nickel exposure might enhance the potential for horizontal transfer of ARGs. Network analysis demonstrated significant associations between ARGs and MGEs, with the integrase intI1 gene having the most frequent interactions with other co-occurring ARGs. The changes of ARGs were mainly driven by nickel bioavailability and MGEs as revealed by structural equation models. Taken together, long-term nickel exposure significantly increased the diversity, abundance, and horizontal transfer potential of soil ARGs.

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Metadata

Authors
Hu, H.-W., Wang, J.-T., Li, J., Shi, X.-Z., Ma, Y.-B., Chen, D., & He, J.-Z.
Venue
Environmental Science & Technology
Published
2016-12-23
Volume
51
Issue
2
Pages
790-800
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2566114714
Cited by
312
References
64
FWCI
12.43
Type
journal article
Language
en
Open access
green

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