Related Experiment Video
Updated: Jun 3, 2025

Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes
Published on: March 3, 2023
Genomic typing, antimicrobial resistance gene, virulence factor and plasmid replicon database for the important
Andrey Shelenkov1, Anna Slavokhotova2, Yulia Mikhaylova2
1Central Research Institute of Epidemiology, Novogireevskaya Str., 3a, Moscow, 111123, Russia. fallandar@gmail.com.
Background:
The infections of bacterial origin represent a significant problem to the public healthcare worldwide both in clinical and community settings. Recent decade was marked by limiting treatment options for bacterial infections due to growing antimicrobial resistance (AMR) acquired and transferred by various bacterial species, especially the ones causing healthcare-associated infections, which has become a dangerous issue noticed by the World Health Organization. Numerous reports shown that the spread of AMR is often driven by several species-specific lineages usually called the 'global clones of high risk'. Thus, it is essential to track the isolates belonging to such clones and investigate the mechanisms of their pathogenicity and AMR acquisition. Currently, the whole genome-based analysis is more and more often used for these purposes, including the epidemiological surveillance and analysis of mobile elements involved in resistance transfer. However, in spite of the exponential growth of available bacterial genomes, their representation usually lack uniformity and availability of supporting metadata, which creates a bottleneck for such investigations.
Description:
In this database, we provide the results of a thorough genomic analysis of 61,857 genomes of a highly dangerous bacterial pathogen Klebsiella pneumoniae. Important isolate typing information including multilocus sequence typing (MLST) types (STs), assignment of the isolates to known global clones, capsular (KL) and lipooligosaccharide (O) types, the presence of CRISPR-Cas systems, and cgMLST profiles are given, and the information regarding the presence of AMR, virulence genes and plasmid replicons within the genomes is provided.
Conclusion:
This database is freely available under CC BY-NC-SA at https://doi.org/10.5281/zenodo.11069018 . The database will facilitate selection of the proper reference isolate sets for any types of genome-based investigations. It will be helpful for investigations in the field of K. pneumoniae genomic epidemiology, as well as antimicrobial resistance analysis and the development of prevention measures against this important pathogen.
Insights
Antimicrobial resistance (AMR) in Klebsiella pneumoniae is a global threat. This study presents a genomic database of 61,857 K. pneumoniae isolates, aiding research into AMR and epidemiology.
Area of Science:
- Microbiology
- Genomics
- Public Health
Background:
- Bacterial infections pose a significant global healthcare challenge, exacerbated by rising antimicrobial resistance (AMR).
- Healthcare-associated infections caused by specific bacterial lineages, known as 'global clones of high risk,' are a major concern.
- Whole genome analysis is crucial for tracking these clones and understanding AMR, but data limitations hinder progress.
Purpose of the Study:
- To provide a comprehensive genomic database of Klebsiella pneumoniae isolates.
- To facilitate epidemiological surveillance and the study of AMR mechanisms.
- To support the development of effective prevention strategies against K. pneumoniae.
Main Methods:
- Genomic analysis of 61,857 Klebsiella pneumoniae genomes.
- Detailed isolate typing including multilocus sequence typing (MLST), global clone assignment, capsular (KL) and lipooligosaccharide (O) types.
- Identification of CRISPR-Cas systems, cgMLST profiles, antimicrobial resistance (AMR) genes, virulence factors, and plasmid replicons.
Main Results:
- A large-scale genomic dataset for Klebsiella pneumoniae is now available.
- Comprehensive typing and genetic information, including AMR and virulence determinants, are provided for each isolate.
- The database facilitates the identification of high-risk clones and their genetic characteristics.
Conclusions:
- The freely available database supports K. pneumoniae genomic epidemiology and AMR research.
- It enables the selection of appropriate reference isolates for various genome-based investigations.
- This resource is vital for developing targeted prevention and control measures against K. pneumoniae infections.
Related Concept Videos
Genomic DNA in Prokaryotes
Genomic Diversity in Bacteria
Although bacterial genomes are much...
Antibiotic Selection

