Klebsiella quasipneumoniae: a novel sequence type 1699 by whole genome sequence analysis from food fish in India
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Updated: Jan 14, 2026

Quasi-metagenomic Analysis of Salmonella from Food and Environmental Samples
Published on: October 25, 2018
Jeeva Sabu1,2, Sudha Sahadevan2, Muneeb K Hamza2
1Department of Bioscience, Union Christian College, Kochi, Kerala, 638102, India.
Abstract:
Klebsiella quasipneumoniae, an emerging member of the Klebsiella genus, has recently garnered attention as a clinically significant pathogen capable of causing severe human infections. Despite its pathogenic potential, it is frequently misidentified as Klebsiella pneumoniae due to their close genetic and phenotypic similarities, leading to diagnostic challenges and potential implications for treatment and epidemiological surveillance. This study addresses a critical gap in our understanding of K. quasipneumoniae by applying high-resolution genomic tools to distinguish it from its more well-characterized K. pneumoniae, assessed their AMR profiles and evaluate the limitation of conventional identification methods. Whole genome of a gram-negative K. quasipneumoniae (Klebsiella ST1699) bacterium found in an edible fish bought from a retail market in Assam, India. Whole Genome Sequencing (WGS) using the Illumina sequencing and species identification by Mash Screen confirmed the authenticity of K. quasipneumoniae. We assembled the 5.21 Mb complete genome of Klebsiella ST1699 and harboured several Antimicrobial Resistance Genes (ARGs) viz., blaLAP-2, blaOKP-B-1, fosA, tet(A), Sul2, dfrA14. OqxA and OqxB, and identified as a novel sequence type 1699 K. quasipneumoniae (ST 1699) from the edible fish in the retail market, Assam, India. We also performed comparative genome analysis with 6 other strains of K. quasipneumoniae genome sequences in the NCBI database. K. quasipneumoniae represents a clinically relevant and underrecognized pathogen with significant antimicrobial resistance. Improved molecular diagnostics are essential for accurate identification and effective infection control. Misidentification may contribute to underreporting and inappropriate therapeutic strategies, underscoring the need for heightened awareness and surveillance. Our findings have implications for diagnostic accuracy, resistance surveillance, and the development of targeted therapeutic strategies.
Insights
Klebsiella quasipneumoniae is an emerging pathogen often misidentified as Klebsiella pneumoniae. This study used whole genome sequencing to identify a novel strain in fish, revealing significant antimicrobial resistance and highlighting diagnostic challenges.
Area of Science:
- Microbiology
- Genomics
- Infectious Diseases
Background:
- Klebsiella quasipneumoniae is an emerging pathogen causing severe human infections.
- It is frequently misidentified as Klebsiella pneumoniae due to genetic similarities, posing diagnostic and treatment challenges.
- Accurate identification is crucial for effective surveillance and control of this clinically significant bacterium.
Purpose of the Study:
- To differentiate Klebsiella quasipneumoniae from Klebsiella pneumoniae using high-resolution genomic tools.
- To characterize the antimicrobial resistance (AMR) profiles of K. quasipneumoniae.
- To evaluate the limitations of conventional identification methods for K. quasipneumoniae.
Main Methods:
- Whole Genome Sequencing (WGS) using Illumina technology.
- Species identification confirmed by Mash Screen.
- Comparative genome analysis with existing K. quasipneumoniae strains in the NCBI database.
Main Results:
- A novel Klebsiella quasipneumoniae (ST 1699) strain was identified in edible fish from Assam, India.
- The assembled genome (5.21 Mb) revealed the presence of multiple Antimicrobial Resistance Genes (ARGs), including blaLAP-2, blaOKP-B-1, fosA, tet(A), Sul2, dfrA14, OqxA, and OqxB.
- Comparative analysis confirmed ST 1699 as a novel sequence type.
Conclusions:
- Klebsiella quasipneumoniae is an underrecognized, clinically relevant pathogen with significant AMR.
- Improved molecular diagnostics are essential for accurate identification and effective infection control.
- Misidentification can lead to underreporting and inappropriate treatment, necessitating increased awareness and surveillance.
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