Modern Approaches for Understanding Foodborne Pathogens: Antimicrobial Resistance and Genomics

A special issue of Antibiotics (ISSN 2079-6382). This special issue belongs to the section "Mechanism and Evolution of Antibiotic Resistance".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 3261

Special Issue Editors


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Guest Editor
Institute of Preventive Veterinary Sciences and Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
Interests: bacterial pathogenesis and antibiotic resistance; bacterial genomics and omics data analysis; food safety and public health; pathogen-host-microbiota interactions; bacteria as drug for the therapy
Special Issues, Collections and Topics in MDPI journals
Department of Veterinary Medicine, Institute of Preventive Veterinary Sciences, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China
Interests: food safety and public health; bacterial pathogenesis and antibiotic resistance; bacterial genomics and metagenomics

Special Issue Information

Dear Colleagues,

Foodborne diseases represent a significant burden across the world, with one in ten people falling ill from contaminated food each year. Advanced approach to investigate the prevalence of foodborne pathogens along the food chain and the transmission of antimicrobial resistance (AMR) are essential to understand the overall problem. Cutting-edge approaches, particularly those involving rapid and high-throughput technologies for detection and source tracking, are critical to conduct risk management, including assessing the antimicrobial resistance. Previous lab-based approaches, including various MIC assays, remain the cornerstone, while the affordable approach, including genomic sequencing, may further advance the field by reformatting the AMR database, improving genotype–phenotype prediction, and applying artificial intelligence and machine learning to recognize the new AMR features. This Special Issue seeks manuscript submissions that further our understanding of antimicrobial resistance among foodborne bacteria over a broad scope. Submissions regarding cutting-edge approaches to recognize and understand antimicrobial resistance are especially encouraged.

Prof. Dr. Min Yue
Dr. Lin Teng
Guest Editors

Manuscript Submission Information

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Keywords

  • Salmonella
  • Campylobacter
  • Escherichia
  • Listeria
  • Staphylococcus
  • Prevalence
  • Antimicrobial Resistance
  • Genomics
  • High-throughput Assay
  • Machine Learning

Published Papers (1 paper)

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10 pages, 1099 KiB  
Brief Report
Prevalence and Genomic Investigation of Multidrug-Resistant Salmonella Isolates from Companion Animals in Hangzhou, China
by Lin Teng, Sihao Liao, Xin Zhou, Chenghao Jia, Mengyao Feng, Hang Pan, Zhengxin Ma and Min Yue
Antibiotics 2022, 11(5), 625; https://doi.org/10.3390/antibiotics11050625 - 05 May 2022
Cited by 21 | Viewed by 2876
Abstract
Salmonella is a group of bacteria that constitutes the leading cause of diarrheal diseases, posing a great disease burden worldwide. There are numerous pathways for zoonotic Salmonella transmission to humans; however, the role of companion animals in spreading these bacteria is largely underestimated [...] Read more.
Salmonella is a group of bacteria that constitutes the leading cause of diarrheal diseases, posing a great disease burden worldwide. There are numerous pathways for zoonotic Salmonella transmission to humans; however, the role of companion animals in spreading these bacteria is largely underestimated in China. We aimed to investigate the prevalence of Salmonella in pet dogs and cats in Hangzhou, China, and characterize the antimicrobial resistance profile and genetic features of these pet-derived pathogens. In total, 137 fecal samples of pets were collected from an animal hospital in Hangzhou in 2018. The prevalence of Salmonella was 5.8% (8/137) in pets, with 9.3% (5/54) of cats and 3.6% (3/83) of dogs being Salmonella positive. By whole-genome sequencing (WGS), in silico serotyping, and multilocus sequence typing (MLST), 26 pet-derived Salmonella isolates were identified as Salmonella Dublin (ST10, n = 22) and Salmonella Typhimurium (ST19, n = 4). All of the isolates were identified as being multidrug-resistant (MDR), by conducting antimicrobial susceptibility testing under both aerobic and anaerobic conditions. The antibiotics of the most prevalent resistance were streptomycin (100%), cotrimoxazole (100%), tetracycline (96.20%), and ceftriaxone (92.30%). Versatile antimicrobial-resistant genes were identified, including floR (phenicol-resistant gene), blaCTX-M-15, and blaCTX-M-55 (extended-spectrum beta-lactamase genes). A total of 11 incompatible (Inc) plasmids were identified, with IncA/C2, IncFII(S), and IncX1 being the most predominant among Salmonella Dublin, and IncFIB(S), IncFII(S), IncI1, and IncQ1 being the most prevailing among Salmonella Typhimurium. Our study applied WGS to characterize pet-derived Salmonella in China, showing the presence of MDR Salmonella in pet dogs and cats with a high diversity of ARGs and plasmids. These data indicate a necessity for the regular surveillance of pet-derived pathogens to mitigate zoonotic diseases. Full article
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