Disentangling
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  • Outline
  • Abundance and median observed MIC of PBP types
    • Temporal PBP composition
    • Temporal PBP composition (fraction of total)
    • Temporal PBP composition (fraction of total removing NA’s)
  • References

Penicillin binding proteins

Published

December 14, 2022

Outline

PBPs are proteins that can attach to β-lactam antibiotics like penicillin. These proteins are essential for making the bacterial cell wall, and when they are bound by penicillin, the antibiotic can disrupt this process. As a result, the growth and division of the bacterial cells can be impaired, making the antibiotic effective at killing or inhibiting the growth of the bacteria.

The PBP types shown in this document were obtained by using Pathogenwatch, which applies a PBP typing scheme developed in (Li et al. 2016) and evaluated in (Li et al. 2017). These studies demonstrated that the PBP types account for most of the variation in observed minimum inhibitory concentration β-lactam antibiotic, and perform better than other typing schemes such as MLST.

To identify small and novel mechanisms that contribute to penicillin resistance, it can be helpful to control for major effects. Therefore, it is important to consider PBP composition.

This document gives an overview of the PBP types present in collection which will control for in further analyses. The visualization can be used to explore the PBP types, how they are associated with MIC values, and how they are distributed through time in the different studies included in the collection. It is noteworthy that multiple PBP alleles are labelled as “new” in each of the genes PBP1a, PBP2b and PBP2x, and therefore that the effect of this allele composition has not been previously investigated.

Abundance and median observed MIC of PBP types

  • PBP types and observed MIC
12-4-32-0-643-6-562-0-278-0-012-0-60-0-00-0-30-4-01-0-01-2-21-4-211-0-012-0-02-0-22-0-32-0-62-3-22-4-02-4-32-44-02-6-023-0-023-0-223-26-223-26-340-0-20-6-21-0-20-0-NEW0-4-20-4-30-6-012-0-22-0-02-0-NEW2-2-22-6-223-4-024-27-46637-4-20-16-NEW0-238-3830-257-4072-53-772-53-NEW23-0-1398-0-110-1-10-29-11200-241-19NEW-13-190-NEW-NEW37-12-2924-27-2816-13-19200-237-458217-12-19221-274-4117-67-1NEW-1-36913-16-817-121-NEW17-15-22NEW-188-NEWNEW-212-NEWNEW-NEW-NEW13-12-NEW13-NEW-4713-NEW-NEW15-12-1815-12-NEW17-46-1314-7-713-11-1627-36-8NF-NEW-NEWNF-NEW-850.000.250.500.751.000500100015002000
481216Median MIC of PBP-typePBP-type
plotly-logomark

Temporal PBP composition

  • Norway historic
  • Norway routine
  • Maela
  • South Africa
  • Massachusetts
  • The USA
1982198719921997200220072012201702040
2.55.07.510.0Median MIC of PBP-typeYearNumber of isolates
plotly-logomark
201820192020202120220100200300
2.55.07.510.0Median MIC of PBP-typeYearNumber of isolates
plotly-logomark
20072008200920100300600900
2468Median MIC of PBP-typeYearNumber of isolates
plotly-logomark
20052006200720082009201020112012201320140100200
2468Median MIC of PBP-typeYearNumber of isolates
plotly-logomark
20012002200320042005200620070100200
2468Median MIC of PBP-typeYearNumber of isolates
plotly-logomark
20092010201120120100200300
481216Median MIC of PBP-typeYearNumber of isolates
plotly-logomark

Temporal PBP composition (fraction of total)

  • Norway historic
  • Norway routine
  • Maela
  • South Africa
  • Massachusetts
  • The USA
198219871992199720022007201220170.000.250.500.751.00
2.55.07.510.0Median MIC of PBP-typeYearProportion of isolates
plotly-logomark
201820192020202120220.000.250.500.751.00
2.55.07.510.0Median MIC of PBP-typeYearProportion of isolates
plotly-logomark
20072008200920100.000.250.500.751.00
2468Median MIC of PBP-typeYearProportion of isolates
plotly-logomark
20052006200720082009201020112012201320140.000.250.500.751.00
2468Median MIC of PBP-typeYearProportion of isolates
plotly-logomark
20012002200320042005200620070.000.250.500.751.00
2468Median MIC of PBP-typeYearProportion of isolates
plotly-logomark
20092010201120120.000.250.500.751.00
481216Median MIC of PBP-typeYearProportion of isolates
plotly-logomark

Temporal PBP composition (fraction of total removing NA’s)

  • Norway historic
  • Norway routine
  • Maela
  • South Africa
  • Massachusetts
  • The USA
198219871992199720022007201220170.000.250.500.751.00
2.55.07.510.0Median MIC of PBP-typeYearProportion of isolates
plotly-logomark
201820192020202120220.000.250.500.751.00
2.55.07.510.0Median MIC of PBP-typeYearProportion of isolates
plotly-logomark
20072008200920100.000.250.500.751.00
2468Median MIC of PBP-typeYearProportion of isolates
plotly-logomark
20052006200720082009201020112012201320140.000.250.500.751.00
2468Median MIC of PBP-typeYearProportion of isolates
plotly-logomark
20012002200320042005200620070.000.250.500.751.00
2468Median MIC of PBP-typeYearProportion of isolates
plotly-logomark
20092010201120120.000.250.500.751.00
481216Median MIC of PBP-typeYearProportion of isolates
plotly-logomark

References

Li, Yuan, Benjamin J. Metcalf, Sopio Chochua, Zhongya Li, Robert E. Gertz, Hollis Walker, Paulina A. Hawkins, et al. 2016. “Penicillin-Binding Protein Transpeptidase Signatures for Tracking and Predicting β-Lactam Resistance Levels in Streptococcus Pneumoniae.” Edited by James M. Hughes. mBio 7 (3). https://doi.org/10.1128/mbio.00756-16.
Li, Yuan, Benjamin J. Metcalf, Sopio Chochua, Zhongya Li, Robert E. Gertz, Hollis Walker, Paulina A. Hawkins, Theresa Tran, Lesley McGee, and Bernard W. Beall. 2017. “Validation of β-Lactam Minimum Inhibitory Concentration Predictions for Pneumococcal Isolates with Newly Encountered Penicillin Binding Protein (PBP) Sequences.” BMC Genomics 18 (1). https://doi.org/10.1186/s12864-017-4017-7.