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September 10, 2025Applied and Environmental MicrobiologyOpen Access

Integrating serotyping, MLST, and phenotypic data: decoding the evolutionary drivers of Salmonella pathogenicity and drug resistance

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Authors

WHWeiguo HongGuangzhou University of Chinese MedicineZYZheng YangLaboratoire de Phonétique et PhonologieGWGuoping WuJiangxi Agricultural University

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Overview

Genomic analysis reveals key evolutionary drivers of salmonella pathogenicity and antimicrobial resistance, suggesting urgent integrated surveillance.

Key Points

  • Ciprofloxacin resistance in Salmonella doubled from 15.3% to 30.4% by 2020, highlighting growing concerns about antimicrobial resistance.
  • The study analyzed 935 Salmonella isolates, with ST34 identified as a pivotal sequence type linking multiple serotypes across various regions.
  • Integrated genomics and phenomics were employed to reveal population structure and key drivers of salmonella pathogenicity and drug resistance.
  • Findings underscore the need for genotype-phenotype-integrated surveillance to combat rising antimicrobial resistance in salmonella.

Cite This Study

Hong et al. (2025) studied this question.

synapsesocial.com/papers/68c1d7f654b1d3bfb60fa319https://doi.org/10.1128/aem.01511-25
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