Synergizing Ecotoxicology and Microbiome Data Is Key for Developing Global Indicators of Environmental Antimicrobial Resistance DOI Creative Commons
John Paul Makumbi, Samuel K. Leareng, Rian Pierneef

et al.

Microbial Ecology, Journal Year: 2024, Volume and Issue: 87(1)

Published: Nov. 29, 2024

Abstract The One Health concept recognises the interconnectedness of humans, plants, animals and environment. Recent research strongly supports idea that environment serves as a significant reservoir for antimicrobial resistance (AMR). However, complexity natural environments makes efforts at AMR public health risk assessment difficult. We lack sufficient data on key ecological parameters influence AMR, well primary proxies necessary evaluating risks to human health. Developing environmental ‘early warning systems’ requires models with well-defined parameters. This is support implementation clear targeted interventions. In this review, we provide comprehensive overview current tools used globally underlying knowledge gaps. highlight urgent need standardised, cost-effective frameworks are adaptable across different regions enhance comparability reliability. These must also account previously understudied sources, such horticulture, emerging threats like climate change. addition, integrating traditional ecotoxicology modern ‘omics’ approaches will be essential developing more informing mitigation strategies.

Language: Английский

A review of antibiotic resistance genes in major river basins in China: Distribution, drivers, and risk DOI
Wenjia Li, Bin Wang, Tao Wang

et al.

Environmental Pollution, Journal Year: 2025, Volume and Issue: unknown, P. 125920 - 125920

Published: Feb. 1, 2025

Language: Английский

Citations

0
Urban landscape lakes with backwater hide higher antibiotic resistance risk than living water DOI
Qian Han, Yu Wang,

Chenwei Shi

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 492, P. 138101 - 138101

Published: April 2, 2025

Language: Английский

Citations

0
Characteristics of Bacterial Community in Xuanwu Lake and Its Inflow/Outflow Channels, and Their Relationship with Environmental Factors in Nanjing, China DOI
Qirong Yuan

Environmental science and engineering, Journal Year: 2025, Volume and Issue: unknown, P. 25 - 36

Published: Jan. 1, 2025

Language: Английский

Citations

0
Occurrence and distribution of antibiotic resistance genes in urban rivers with black-odor water of Harbin, China DOI
Shuangshuang Wang,

Lanjin Fang,

Xingbin Sun

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 259, P. 119497 - 119497

Published: June 27, 2024

Language: Английский

Citations

1
Metagenomic analysis unveiled the response of microbial community and antimicrobial resistome in natural water body to duck farm sewage DOI

Chang Fang,

Kaidi Liu,

Fengjie Tian

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 361, P. 124784 - 124784

Published: Sept. 2, 2024

Language: Английский

Citations

1
Distribution and driving mechanisms of antibiotic resistance genes in urbanized watersheds DOI
Ping Yu, Xujing Guo, Wenguo Wang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 954, P. 176387 - 176387

Published: Sept. 23, 2024

Language: Английский

Citations

1
Synergizing Ecotoxicology and Microbiome Data Is Key for Developing Global Indicators of Environmental Antimicrobial Resistance DOI Creative Commons
John Paul Makumbi, Samuel K. Leareng, Rian Pierneef

et al.

Microbial Ecology, Journal Year: 2024, Volume and Issue: 87(1)

Published: Nov. 29, 2024

Abstract The One Health concept recognises the interconnectedness of humans, plants, animals and environment. Recent research strongly supports idea that environment serves as a significant reservoir for antimicrobial resistance (AMR). However, complexity natural environments makes efforts at AMR public health risk assessment difficult. We lack sufficient data on key ecological parameters influence AMR, well primary proxies necessary evaluating risks to human health. Developing environmental ‘early warning systems’ requires models with well-defined parameters. This is support implementation clear targeted interventions. In this review, we provide comprehensive overview current tools used globally underlying knowledge gaps. highlight urgent need standardised, cost-effective frameworks are adaptable across different regions enhance comparability reliability. These must also account previously understudied sources, such horticulture, emerging threats like climate change. addition, integrating traditional ecotoxicology modern ‘omics’ approaches will be essential developing more informing mitigation strategies.

Language: Английский

Citations

0