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Published on: September 15, 2020
Dissecting vancomycin-intermediate resistance in staphylococcus aureus using genome-wide association.
Md Tauqeer Alam1, Robert A Petit1, Emily K Crispell2
1Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine.
Whole-genome analysis identified a key mutation in the rpoB gene associated with vancomycin-intermediate Staphylococcus aureus (VISA) resistance. Rare mutations in other genes also contribute to VISA, aiding in resistance prediction.
Area of Science:
- Microbiology
- Genomics
- Antimicrobial Resistance
Background:
- Vancomycin-intermediate Staphylococcus aureus (VISA) poses a significant clinical challenge.
- VISA is characterized by a minimal inhibitory concentration (MIC) of 4-8 µg/ml.
- VISA development involves genetic alterations in multiple loci, with over 16 candidate genes identified.
Purpose of the Study:
- To conduct a whole-genome comparative analysis of vancomycin-sensitive and VISA strains.
- To identify genetic variations associated with vancomycin resistance in S. aureus.
- To develop a predictive model for the VISA phenotype.
Main Methods:
- Whole-genome comparative analysis of 49 vancomycin-sensitive and 26 VISA S. aureus strains.
- Determination of vancomycin resistance using broth microdilution, Etest, and PAP-AUC.
- Genome-wide association studies (GWAS) to identify significant genetic associations.
Main Results:
- A highly significant association (P = 8.78 E-08) was found between a nonsynonymous mutation at codon 481 (H481) of the rpoB gene and increased vancomycin MIC.
- Rare mutations in candidate genes (walKR, vraSR, graSR, agrA) were identified using public genome databases.
- A preliminary predictive model (ECM+RMCG) achieved 81% accuracy and 73% sensitivity for VISA prediction.
- The level of vancomycin resistance positively correlated with the number of identified mutations.
Conclusions:
- GWAS is a powerful tool for identifying common genetic variants linked to antibiotic resistance in bacteria.
- Rare mutations in specific candidate genes, discoverable through large genomic datasets, are also associated with antibiotic resistance phenotypes.
- The findings contribute to a better understanding of VISA evolution and provide a basis for improved diagnostic and therapeutic strategies.
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