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Updated: Mar 3, 2026

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

Database for the ampC alleles in Acinetobacter baumannii.

Nabil Karah^1,2, Keith A Jolley³, Ruth M Hall⁴

¹The Laboratory for Molecular Infection Medicine Sweden (MIMS) and Department of Molecular Biology, Umeå University, Umeå, Sweden.

|May 2, 2017

Summary

A new database for the ampC locus in Acinetobacter baumannii has been established, differentiating alleles by nucleotide changes. This resource aids in tracking the spread of this opportunistic pathogen.

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Rapid and Specific Detection of Acinetobacter baumannii Infections Using a Recombinase Polymerase Amplification/Cas12a-based System

Rapid and Specific Detection of Acinetobacter baumannii Infections Using a Recombinase Polymerase Amplification/Cas12a-based System

Published on: April 25, 2025

Area of Science:

Microbiology
Genetics
Bioinformatics

Background:

Acinetobacter baumannii is an opportunistic pathogen known for its rapid clonal spread.
Accurate characterization of genetic variations, such as in the ampC locus, is crucial for understanding pathogen dissemination.
Existing methods for defining new alleles may not capture all relevant genetic diversity.

Purpose of the Study:

To establish a comprehensive, publicly accessible database for the ampC locus in Acinetobacter baumannii.
To differentiate novel ampC alleles based on nucleotide changes, irrespective of their effect on amino acid sequence.
To provide a standardized resource for molecular typing and epidemiological studies of A. baumannii.

Main Methods:

Development of a database hosted on the pubmlst platform for A. baumannii.
Allele definition based on the presence of one or more nucleotide changes within the ampC locus.
Analysis of ampC allele distribution across different clonal complexes (CC1, CC2, CC10) and sequence types (ST3, ST16, ST25, ST32) using multilocus sequence typing (MLST).

Main Results:

Forty-eight distinct ampC alleles have been identified and deposited in the database.
Specific ampC alleles were found to be characteristic of particular clonal complexes and sequence types (e.g., allele 3 for ST3/ST32, alleles 10, 16, 25 for CC10, ST16, CC25 respectively).
Isolates from CC1 and CC2 exhibited diverse sets of ampC alleles, highlighting the utility of the database in tracking genetic diversity within major clones.

Conclusions:

The newly established ampC locus database provides a valuable resource for A. baumannii research.
Defining alleles by nucleotide identity offers a more precise method for tracking genetic variation compared to amino acid substitutions.
This approach will enhance the ability to monitor the clonal dissemination and evolution of Acinetobacter baumannii.