Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 261

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Field‐based evidence for copper contamination induced changes of antibiotic resistance in agricultural soils

Open access
Hu, Hang‐Wei, Wang, Jun‐Tao, Li, Jing, Li, Jun‐Jian, Ma, Yi‐Bing, Chen, Deli, He, Ji‐Zheng·2016·Environmental Microbiology

Abstract

Summary: Bacterial 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 −1 ) in two contrasting agricultural soils. In total, 157 and 149 unique ARGs were detected in the red and fluvo‐aquic soil, respectively, with multidrug and β‐ lactam as the most dominant ARG types. The highest diversity and abundance of ARGs were observed in medium copper concentrations (100–200 mg kg −1 ) of the red soil and in high copper concentrations (400–800 mg kg −1 ) of the fluvo‐aquic soil. The abundances of total ARGs and several ARG types had significantly positive correlations with mobile genetic elements (MGEs), suggesting mobility potential of ARGs in copper‐contaminated soils. Network analysis revealed significant co‐occurrence patterns between ARGs and microbial taxa, indicating strong associations between ARGs and bacterial communities. Structural equation models showed that the significant impacts of copper contamination on ARG patterns were mainly driven by changes in bacterial community compositions and MGEs. Our results provide field‐based evidence that long‐term Cu contamination significantly changed the diversity, abundance and mobility potential of environmental antibiotic resistance, and caution the un‐perceived risk of the ARG dissemination in heavy metal polluted environments.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/1462-2920.13370

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Cited by

See all 261

Metadata

Authors
Hu, H., Wang, J., Li, J., Li, J., Ma, Y., Chen, D., & He, J.
Venue
Environmental Microbiology
Publisher
Wiley
Published
2016-07-12
Volume
18
Issue
11
Pages
3896-3909
ISSN
  • 1462-2912 (ISSN-L)
  • 1462-2920
OpenAlex
W2403054321
Cited by
261
References
7
FWCI
12.60
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Field‐based evidence for copper contamination induced changes of antibiotic resistance in agricultural soils. https://app.cochat.ai/papers/10.1111/1462-2920.13370
The paper
Hu, H., Wang, J., Li, J., Li, J., Ma, Y., Chen, D., & He, J. (2016). Field‐based evidence for copper contamination induced changes of antibiotic resistance in agricultural soils. Environmental Microbiology. https://doi.org/10.1111/1462-2920.13370

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.