2016
DOI: 10.1111/1462-2920.13370
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Field‐based evidence for copper contamination induced changes of antibiotic resistance in agricultural soils

Abstract: SummaryBacterial resistance to antibiotics and heavy metals are frequently linked, suggesting that exposure to heavy metals might select for bacterial assemblages conferring resistance to antibiotics. However, there is a lack of clear evidence for the heavy metal-induced changes of antibiotic resistance in a long-term basis. Here, we used high-capacity quantitative PCR array to investigate the responses of a broad spectrum of antibiotic resistance genes (ARGs) to 4-5 year copper contamination (0-800 mg kg 21 )… Show more

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Cited by 217 publications
(144 citation statements)
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References 62 publications
(93 reference statements)
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“…There is a long history of metals, including Cu and Zn, being linked to antibiotic resistance development in environmental bacteria, with many studies showing a correlation between the presence of either of these two metals in environmental samples and the concomitant presence of metal‐tolerant and antibiotic‐resistant populations, or the increased prevalence of antibiotic‐resistant genes/organisms in metal‐contaminated versus metal‐free environments . Moreover, the impact of Cu on antimicrobial resistance is higher compared with other metals …”
Section: Discussionmentioning
confidence: 99%
“…There is a long history of metals, including Cu and Zn, being linked to antibiotic resistance development in environmental bacteria, with many studies showing a correlation between the presence of either of these two metals in environmental samples and the concomitant presence of metal‐tolerant and antibiotic‐resistant populations, or the increased prevalence of antibiotic‐resistant genes/organisms in metal‐contaminated versus metal‐free environments . Moreover, the impact of Cu on antimicrobial resistance is higher compared with other metals …”
Section: Discussionmentioning
confidence: 99%
“…Then Brown method was utilized to combine the P -values for the four correlations measurement, and correlations found to be significant by less than two methods were discarded (Soffer et al, 2015). Only correlations with a coefficient above 0.8 and a significance level below 0.05 were considered statistically robust which were finally displayed as previously reported (Hu et al, 2016). The obtained pairwise correlations were used to construct the co-association networks.…”
Section: Methodsmentioning
confidence: 99%
“…The raw sequences were joined and treated according to Hu et al . 45 . Quantitative Insights Into Microbial Ecology (QIIME) 1.7.0 was used to sift the raw reads, the resulting high quality sequences were clustered into operational taxonomic units (OTUs) at the 97% sequence similarity threshold by Uclust clustering.…”
Section: Methodsmentioning
confidence: 99%