Comprehensive metataxonomic analysis of Klebsiella pneumoniae pulmonary 16S rRNA full- sequences

Most clinically used antimicrobials fail to eradicate multidrug-resistant Klebsiella pneumoniae, and the limited availability of genomic data on clinical strains hinders the development of new interventions. This study reports and characterizes long-read 16S rRNA sequences from clinical multidrug-resistant K. pneumoniae sequences associated with mechanical-ventilated pneumonia infections in intensive care unit (ICU) hospitals in Saudi Arabia. Phylogenetic analysis of the 63 sequences was conducted, followed by exploratory screening by comparing the 16S rRNA sequences against the Comprehensive Antibiotic Resistance Database (CARD). This screening aimed solely to identify any incidental sequence similarities within the 16S region and its immediate flanking sequences that might have been captured by long-read sequencing. Given the inherent limitations of applying whole-genome analysis tools to 16S data, these results are presented as computational observations of sequence similarity only and do not confirm the presence of functional resistance genes. Phylogenetic trees showed that the 63 sequences formed well-supported clusters distinct from many global K. pneumoniae reference genomes in NCBI yet closely related to locally reported Saudi K. pneumoniae genomes, suggesting regionally adapted lineages. These findings highlight the convergence of hypervirulence and multidrug resistance in ICU-associated pneumonia and point to the need for ongoing genomic surveillance and development of targeted diagnostics and therapeutics for high-risk lineages.

Authors

Institutions

Publication Details

Journal
Infection Genetics and Evolution
Published
2026-04-01
DOI
https://doi.org/10.1016/j.meegid.2026.105936
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive metataxonomic analysis of Klebsiella pneumoniae pulmonary 16S rRNA full- sequences

Nisreen R. Tashkandy
Infection Genetics and Evolution
Antibiotic Resistance in Bacteria
article

Comprehensive metataxonomic analysis of Klebsiella pneumoniae pulmonary 16S rRNA full- sequences

Nisreen R. Tashkandy
article en

Abstract

Most clinically used antimicrobials fail to eradicate multidrug-resistant Klebsiella pneumoniae, and the limited availability of genomic data on clinical strains hinders the development of new interventions. This study reports and characterizes long-read 16S rRNA sequences from clinical multidrug-resistant K. pneumoniae sequences associated with mechanical-ventilated pneumonia infections in intensive care unit (ICU) hospitals in Saudi Arabia. Phylogenetic analysis of the 63 sequences was conducted, followed by exploratory screening by comparing the 16S rRNA sequences against the Comprehensive Antibiotic Resistance Database (CARD). This screening aimed solely to identify any incidental sequence similarities within the 16S region and its immediate flanking sequences that might have been captured by long-read sequencing. Given the inherent limitations of applying whole-genome analysis tools to 16S data, these results are presented as computational observations of sequence similarity only and do not confirm the presence of functional resistance genes. Phylogenetic trees showed that the 63 sequences formed well-supported clusters distinct from many global K. pneumoniae reference genomes in NCBI yet closely related to locally reported Saudi K. pneumoniae genomes, suggesting regionally adapted lineages. These findings highlight the convergence of hypervirulence and multidrug resistance in ICU-associated pneumonia and point to the need for ongoing genomic surveillance and development of targeted diagnostics and therapeutics for high-risk lineages.

Infection Genetics and EvolutionVol. 140
King Abdulaziz University (SA)
King Abdulaziz University
Good health and well-being
Openalex Percentile: Top 28%
Antibiotic Resistance in Bacteria
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.