Genomic signatures of beta-lactam resistance and reversion in <i>Staphylococcus aureus</i> from bovine mastitis

This study uses whole genome sequencing (WGS) to identify beta-lactam resistance-associated mutations in in vitro selected Staphylococcus aureus subsp. aureus ATCC 25923 strains, and correlates the findings with isolates collected from mastitis-infected dairy cows. Resistance was induced in a susceptible strain of S. aureus subsp. aureus ATCC 25923 through serial in vitro exposure to ampicillin sodium salt, cefapirin, cefuroxime sodium salt, and cefquinome. The resulting resistant isolates exhibited thousands of fold increases in minimum inhibitory concentrations (MICs), compared to the susceptible strain. In the absence of antimicrobial selection pressure, the MIC decreased by up to 32-fold, indicating a significant restoration of antimicrobial susceptibility. WGS identified resistance-associated mutations in the penicillin-binding proteins, ABC transporter ATP-binding protein, cell wall-active antibiotics response protein, cyclic-di-AMP phosphodiesterase, and two-component system sensor histidine kinase. Additionally, these mutations were investigated in the S. aureus isolates collected from mastitis-infected dairy cows. These isolates shared the same resistance-associated mutations as in vitro-selected strains. These findings demonstrate that resistance mutations identified through in vitro selection are also present in clinical isolates, highlighting the clinical applicability of in vitro selection for understanding antimicrobial resistance in mastitis-associated S. aureus.

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Publication Details

Journal
Letters in Applied Microbiology
Published
2025-08-11
DOI
https://doi.org/10.1093/lambio/ovaf107
Citations
1
Primary Topic
Microbial Metabolism and Applications
Type
article
Field-Weighted Citation Impact
1.23
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article

Genomic signatures of beta-lactam resistance and reversion in Staphylococcus aureus from bovine mastitis

Bigya Dhital, Rameshwor Pudasaini, Sushil Paudyal, Hsin‐I Chiang et al.
1 citations
Letters in Applied Microbiology
Microbial Metabolism and Applications
1.23
article

Genomic signatures of beta-lactam resistance and reversion in Staphylococcus aureus from bovine mastitis

Bigya Dhital, Rameshwor Pudasaini, Sushil Paudyal, Hsin‐I Chiang, Ying-Tsong Chen, Yi-Tzu Chen
article en
1 citations

Abstract

This study uses whole genome sequencing (WGS) to identify beta-lactam resistance-associated mutations in in vitro selected Staphylococcus aureus subsp. aureus ATCC 25923 strains, and correlates the findings with isolates collected from mastitis-infected dairy cows. Resistance was induced in a susceptible strain of S. aureus subsp. aureus ATCC 25923 through serial in vitro exposure to ampicillin sodium salt, cefapirin, cefuroxime sodium salt, and cefquinome. The resulting resistant isolates exhibited thousands of fold increases in minimum inhibitory concentrations (MICs), compared to the susceptible strain. In the absence of antimicrobial selection pressure, the MIC decreased by up to 32-fold, indicating a significant restoration of antimicrobial susceptibility. WGS identified resistance-associated mutations in the penicillin-binding proteins, ABC transporter ATP-binding protein, cell wall-active antibiotics response protein, cyclic-di-AMP phosphodiesterase, and two-component system sensor histidine kinase. Additionally, these mutations were investigated in the S. aureus isolates collected from mastitis-infected dairy cows. These isolates shared the same resistance-associated mutations as in vitro-selected strains. These findings demonstrate that resistance mutations identified through in vitro selection are also present in clinical isolates, highlighting the clinical applicability of in vitro selection for understanding antimicrobial resistance in mastitis-associated S. aureus.

Letters in Applied MicrobiologyVol. 78(10)
National Chung Hsing University (TW), Texas College (US), Smart Solution (Norway) (NO), Texas A&M University (US)
Openalex Percentile: Top 19%
Microbial Metabolism and Applications
1.23
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