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Functional metagenomics reveals wildlife as natural reservoirs of novel β-lactamases

  • Hao Ren
  • , Zhaoxiang Lu
  • , Ruanyang Sun
  • , Xiran Wang
  • , Jiahao Zhong
  • , Tiantian Su
  • , Qian He
  • , Xiaoping Liao
  • , Yahong Liu
  • , Xinlei Lian
  • , Jian Sun*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The antibiotic resistances in bacteria are believed to rapidly evolve over time in the anthropogenic environments which enriched with selection pressures. However, the knowledge regarding the development of antibiotic resistance in wildlife and their habitats is scarce. It is, therefore, of great interest and significance to unveil the yet-unknown antibiotic resistances in wildlife in accordance with One Health concept. To this end, we analyzed the samples taken from wildlife and surrounding environments using a functional metagenomics approach. By functional screening in combination with Illumina sequencing, a total of 32 candidate genes which encoding putative novel β-lactamase were identified. These putative β-lactamase were taxonomically assigned into bacteria of 23 genera from 7 phyla, where Proteobacteria, Actinobacteria and Firmicutes were dominant. The following functional assessment demonstrated that 4 novel β-lactamases, namely blaSSA, blaSSB1, blaSSB2 and blaSSD, were functionally active to confer the phenotypical resistance to bacteria by increasing MICs up to 128-fold. Further analysis indicated that the novel β-lactamases identified in the current study were able to hydrolyze a broad spectrum of β-lactams including cephalosporins, and they were genetically unique comparing with known β-lactamases. The plausible transmission of some novel β-lactamase genes was supported by our results as the same gene was detected in different samples from different sites. This study shed the light on the active role of wildlife and associated environments as natural reservoirs of novel β-lactamases, implying that the antibiotic resistances might evolve in absence of selection pressure and threaten public health once spread into clinically important pathogens.
Original languageEnglish
Article number161505
Number of pages11
JournalScience of the Total Environment
Volume868
Early online date7 Jan 2023
DOIs
Publication statusPublished - 10 Apr 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Functional metagenomics
  • Wildlife
  • Novel β-lactamases
  • Natural reservoirs
  • Selection pressure

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