Antibiotic resistance mechanism and diagnosis of common foodborne pathogens based on genotypic and phenotypic biomarkers

Author:

Liao Xinyu123ORCID,Deng Ruijie4,Warriner Keith5ORCID,Ding Tian13ORCID

Affiliation:

1. Department of Food Science and Nutrition Zhejiang University Hangzhou Zhejiang China

2. School of Mechanical and Energy Engineering NingboTech University Ningbo Zhejiang China

3. Future Food Laboratory, Innovation Center of Yangtze River Delta Zhejiang University Jiashan Zhejiang China

4. College of Biomass Science and Engineering Healthy Food Evaluation Research Center, Sichuan University Chengdu Sichuan China

5. Department of Food Science University of Guelph Guelph Ontario Canada

Abstract

AbstractThe emergence of antibiotic‐resistant bacteria due to the overuse or inappropriate use of antibiotics has become a significant public health concern. The agri‐food chain, which serves as a vital link between the environment, food, and human, contributes to the large‐scale dissemination of antibiotic resistance, posing a concern to both food safety and human health. Identification and evaluation of antibiotic resistance of foodborne bacteria is a crucial priority to avoid antibiotic abuse and ensure food safety. However, the conventional approach for detecting antibiotic resistance heavily relies on culture‐based methods, which are laborious and time‐consuming. Therefore, there is an urgent need to develop accurate and rapid tools for diagnosing antibiotic resistance in foodborne pathogens. This review aims to provide an overview of the mechanisms of antibiotic resistance at both phenotypic and genetic levels, with a focus on identifying potential biomarkers for diagnosing antibiotic resistance in foodborne pathogens. Furthermore, an overview of advances in the strategies based on the potential biomarkers (antibiotic resistance genes, antibiotic resistance‐associated mutations, antibiotic resistance phenotypes) for antibiotic resistance analysis of foodborne pathogens is systematically exhibited. This work aims to provide guidance for the advancement of efficient and accurate diagnostic techniques for antibiotic resistance analysis in the food industry.

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Wiley

Subject

Food Science

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