Skip to main content

Advertisement

Log in

Global profiling of antibiotic resistomes in maize rhizospheres

  • Original Paper
  • Published:
Archives of Microbiology Aims and scope Submit manuscript

Abstract

The spreading of antimicrobial resistance (AMR) in crops and food products represents a global concern. In this study, we conducted a survey of resistomes in maize rhizosphere from Michigan, California, the Netherlands, and South Africa, and investigated potential associations with host bacteria and soil management practices in the crop field. For comparison, relative abundance of antibiotic resistance genes (ARGs) is normalized to the size of individual metagenomes. Michigan maize rhizosphere metagenomes showed the highest abundance and diversity of ARGs, with the detection of blaTEM-116, blaACT-4/-6, and FosA2, exhibiting high similarity (≥ 99.0%) to those in animal and human pathogens. This was probably related to the decade-long application of manure/composted manure from antibiotic-treated animals. Moreover, RbpA, vanRO, mtrA, and dfrB were prevalently found across most studied regions, implying their intrinsic origins. Further analysis revealed that RbpA, vanRO, and mtrA are mainly harbored by native Actinobacteria with low mobility since mobile genetic elements were rarely found in their flanking regions. Notably, a group of dfrB genes are adjacent to the recombination binding sites (attC), which together constitute mobile gene cassettes, promoting the transmission from soil bacteria to human pathogens. These results suggest that maize rhizosphere resistomes can be distinctive and affected by many factors, particularly those relevant to agricultural practices.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data availability

All sequencing data are available on JGI and NCBI with their corresponding GOLD analysis project IDs and NCBI accession numbers, respectively, indicated in Table S1.

References

Download references

Acknowledgements

This work was supported by the US Department of Agriculture (USDA, NIFA-2019-67020-30475) and the National Science Foundation (NSF, CBET-1903597). Dung Ngoc Pham was sponsored by the Mark B. Bain Graduate Fellowship from the Hudson River Foundation. We thank Dr. James Tiedje (Michigan State University) and Dr. Amélie Gaudin (University of California, Davis) for the permission of using the associated metagenomic data. Funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Funding

This work was funded by National Institute of Food and Agriculture, NIFA-2019-67020-30475, Division of Chemical, Bioengineering, Environmental, and Transport Systems, CBET-1903597, Hudson River Foundation.

Author information

Authors and Affiliations

Authors

Contributions

DP: conceptualization, software, formal analysis, data curation, investigation, validation, visualization, writing-review and editing. QW: conceptualization, software, formal analysis, data curation, writing-original draft, and visualization. ML: conceptualization, resources, writing-review and editing, and supervision, project administration, and funding acquisition. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Mengyan Li.

Ethics declarations

Conflict of interest

We declare no competing financial interest.

Additional information

Communicated by Sunita Varjani.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 3081 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pham, D.N., Wu, Q. & Li, M. Global profiling of antibiotic resistomes in maize rhizospheres. Arch Microbiol 205, 89 (2023). https://doi.org/10.1007/s00203-023-03424-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00203-023-03424-z

Keywords

Navigation