Minimum Inhibitory Concentrations (MICs) for β-lactam Antibiotics Predicted by Penicillin Binding Protein Gene Types
The CDC Streptococcus Laboratory has created procedures for using whole-genome sequencing data to predict phenotypic susceptibility results for a range of antibiotics. For beta-lactam antibiotics, the procedure uses newly-defined Penicillin Binding Protein (PBP) types, which are based on transpeptidase-encoding regions of PBP proteins 1a, 2b, and 2x. An isolate’s PBP type can predict a specific level of resistance to penicillin and other beta-lactam antibiotics. Below are minimum inhibitory concentrations (MIC) tables for reference.1, 2, 3, 4
- Excel FileCdc-excel (includes all MIC tables) Updated June 2016
- PDF Files Updated June 2016
Below are links to protein sequences (.faa files) that constitute PBP types. The downloadable files below can be run on multiple open source platforms, including EMBOSSExternal, BiostringsExternal (withing Bioconductor), and Clustal OmegaExternal. Updated June 2016
1Metcalf BJ, Gertz RE Jr, Gladstone RA, et al. Strain features and distributions in pneumococci from children with invasive disease before and after 13-valent conjugate vaccine implementation in the USAExternal. Clin Microbiol Infect. 2016;22(1):60 e9–60.
2Metcalf BJ, Chochua S, Gertz RE Jr, et al. Using whole genome sequencing to identify resistance determinants and predict antimicrobial resistance phenotypes for year 2015 invasive pneumococcal disease isolates recovered in the United States. Clin Microbiol Infect. 2016;22(12):1002.e1–1002.e8.
4Li Y, Metcalf BJ, Chochua S, et al. Penicillin-binding protein transpeptidase signatures for tracking and predicting β-lactam resistance levels in Streptococcus pneumoniaeExternal. mBio. 2016;7(3):60 pii:e00756–16.