2610005389
  • Open Access
  • Review

Environmental Emerging Contaminants Drive Bacterial Antimicrobial Resistance Evolution: Evidence, Mechanisms, and Challenges

  • Xinrui Yang,   
  • Qingbin Yuan *,   
  • Yaru Dai,   
  • Xiaolong Wang,   
  • Zhigang Yu,   
  • Mengxiong Wu,   
  • Yi Luo *

Received: 12 Jul 2026 | Revised: 28 Sep 2026 | Accepted: 12 Oct 2026 | Published: 23 Oct 2026

Highlights

  • Emerging contaminants can drive antimicrobial resistance evolution in environmental systems
  • Antibiotics, EDCs, POPs, and microplastics exhibit distinct AMR-driving potentials
  • Four mechanisms link emerging contaminants to AMR evolution and dissemination
  • Multi-omics, modeling, and AI will advance contaminant-driven AMR risk assessment and management

Abstract

Antimicrobial resistance in the environment has become a major challenge to global public health. In addition to antibiotics themselves, emerging contaminants such as endocrine-disrupting chemicals (EDCs), persistent organic pollutants (POPs), and microplastics also significantly influence the emergence, evolution, and dissemination of bacterial antimicrobial resistance. This systematic review, based on a structured literature search, first summarizes current evidence linking emerging contaminants to bacterial antimicrobial resistance across diverse environmental matrices. It also provides a mechanistic analysis of four major pathways by which emerging contaminants promote antimicrobial resistance evolution: ROS–SOS-mediated adaptive evolution, enhanced horizontal gene transfer (HGT), selective enrichment of resistant bacteria, and microplastic-mediated migration and dissemination of antimicrobial resistance genes (ARGs). Finally, we highlight current knowledge gaps and propose future research directions, including long-term field investigations, multi-omics approaches, experiment–model integration, and artificial intelligence-assisted analyses, to establish a cross-scale framework for understanding emerging contaminant-driven antimicrobial resistance evolution. This review provides new mechanistic insights into the environmental evolution of bacterial antimicrobial resistance and offers a theoretical foundation for environmental risk assessment and pollution control of emerging contaminants.

Graphical Abstract

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Yang, X.; Yuan, Q.; Dai, Y.; Wang, X.; Yu, Z.; Wu, M.; Luo, Y. Environmental Emerging Contaminants Drive Bacterial Antimicrobial Resistance Evolution: Evidence, Mechanisms, and Challenges. Global Environmental Science 2026, 2 (4), 471–494. https://doi.org/10.53941/ges.2026.100028.
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