Antibiotic resistance profile of nitrogen-metabolizing microbes in anoxic‒oxic processes for swine wastewater treatment

The anoxic-oxic (A/O) process is the most common biological method for removing nitrogen (N) from wastewater, but the antibiotic resistance profile of N-metabolizing microbes in A/O processes remains largely underexplored. Here we demonstrated a significant positive correlation between various types of N-metabolizing genes and antibiotic resistance genes (ARGs) in swine wastewater A/O processes across China. We assembled 180 high-quality genomes of dominant N-metabolizing microbes (12.6% of the total metagenome-assembled genomes), all harboring transcriptionally active ARGs. And Pseudomonas was identified as the primary N-metabolizing genus and major ARG host. Among 1110 culturable N-metabolizing isolates, 22.34% were Pseudomonas strains showing high N removal capacity and multi-antibiotic resistance. Moreover, plasmid-mediated ARG transfer further heightened resistance risks. Overall, these findings highlight a significant ARG risk among predominant N-metabolizing microbes in A/O treatment processes, underscoring the urgency of balancing N removal performance with resistance control in wastewater treatment processes.

Authors

Institutions

Publication Details

Journal
npj Clean Water
Published
2025-04-20
DOI
https://doi.org/10.1038/s41545-025-00464-4
Citations
11
Primary Topic
Pharmaceutical and Antibiotic Environmental Impacts
Type
article
Field-Weighted Citation Impact
5.54

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antibiotic resistance profile of nitrogen-metabolizing microbes in anoxic‒oxic processes for swine wastewater treatment

Chunhao Mo, Junting Cao, Feng Huang, Yiwen Yang et al.
11 citations
npj Clean Water
Pharmaceutical and Antibiotic Environmental Impacts
5.54
article

Antibiotic resistance profile of nitrogen-metabolizing microbes in anoxic‒oxic processes for swine wastewater treatment

Chunhao Mo, Junting Cao, Feng Huang, Yiwen Yang, Shuang Cai, Sheng Chen, Zhiguo Wen, Yongbao Wu, Xindi Liao
article en
11 citations

Abstract

The anoxic-oxic (A/O) process is the most common biological method for removing nitrogen (N) from wastewater, but the antibiotic resistance profile of N-metabolizing microbes in A/O processes remains largely underexplored. Here we demonstrated a significant positive correlation between various types of N-metabolizing genes and antibiotic resistance genes (ARGs) in swine wastewater A/O processes across China. We assembled 180 high-quality genomes of dominant N-metabolizing microbes (12.6% of the total metagenome-assembled genomes), all harboring transcriptionally active ARGs. And Pseudomonas was identified as the primary N-metabolizing genus and major ARG host. Among 1110 culturable N-metabolizing isolates, 22.34% were Pseudomonas strains showing high N removal capacity and multi-antibiotic resistance. Moreover, plasmid-mediated ARG transfer further heightened resistance risks. Overall, these findings highlight a significant ARG risk among predominant N-metabolizing microbes in A/O treatment processes, underscoring the urgency of balancing N removal performance with resistance control in wastewater treatment processes.

npj Clean WaterVol. 8(1)
South China Agricultural University (CN), Hong Kong Polytechnic University (HK), Henan University of Technology (CN), Chinese Academy of Agricultural Sciences (CN), Feed Research Institute (CN), Ministry of Agriculture and Rural Affairs (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Clean water and sanitation
Openalex Percentile: Top 3%
Pharmaceutical and Antibiotic Environmental Impacts
5.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.