Rapid evolution of Klebsiella pneumoniae biofilms in vitro delineates adaptive changes selected during infection

Biofilm formation facilitates infection by the opportunistic pathogen Klebsiella pneumoniae, primarily via indwelling medical devices. Here, we explore the adaptive evolution of classical pathotype K. pneumoniae in surface-attached biofilms through experimental evolution that mimics catheter-associated infections. We observe rapid convergent evolution that alters or abolishes capsule production, modifies the fimbrial adhesin MrkD, or increases the production of fimbriae and cellulose via upregulated c-di-GMP-dependent pathways. We show that multiple aspects of biofilm formation, including early attachment, topology, surface preference, and extracellular matrix composition, are affected in a mutation-specific manner. However, evolutionary trajectories and resulting phenotypes show strain-specific differences, illustrating the importance of genetic background on biofilm adaptation. Additionally, changes in acute virulence are linked to the underlying genetic change rather than the overall biofilm capacity. Identified adaptive changes conferring hypermucoviscosity or affecting c-di-GMP-related regulatory pathways overlap extensively with those previously identified in clinical UTI and wound isolates, confirming biofilm as an important selective trait in vivo.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-04-10
DOI
https://doi.org/10.1038/s41467-026-71505-w
Primary Topic
Bacterial biofilms and quorum sensing
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Rapid evolution of Klebsiella pneumoniae biofilms in vitro delineates adaptive changes selected during infection

Greta Zaborskytė, Marie Wrande, Patrícia Coelho, Linus Sandegren
Nature Communications
Bacterial biofilms and quorum sensing
article

Rapid evolution of Klebsiella pneumoniae biofilms in vitro delineates adaptive changes selected during infection

Greta Zaborskytė, Marie Wrande, Patrícia Coelho, Linus Sandegren
article en

Abstract

Biofilm formation facilitates infection by the opportunistic pathogen Klebsiella pneumoniae, primarily via indwelling medical devices. Here, we explore the adaptive evolution of classical pathotype K. pneumoniae in surface-attached biofilms through experimental evolution that mimics catheter-associated infections. We observe rapid convergent evolution that alters or abolishes capsule production, modifies the fimbrial adhesin MrkD, or increases the production of fimbriae and cellulose via upregulated c-di-GMP-dependent pathways. We show that multiple aspects of biofilm formation, including early attachment, topology, surface preference, and extracellular matrix composition, are affected in a mutation-specific manner. However, evolutionary trajectories and resulting phenotypes show strain-specific differences, illustrating the importance of genetic background on biofilm adaptation. Additionally, changes in acute virulence are linked to the underlying genetic change rather than the overall biofilm capacity. Identified adaptive changes conferring hypermucoviscosity or affecting c-di-GMP-related regulatory pathways overlap extensively with those previously identified in clinical UTI and wound isolates, confirming biofilm as an important selective trait in vivo.

Nature CommunicationsVol. 17(1)
Uppsala University (SE), University of Oxford (GB)
Carl Tryggers Stiftelse för Vetenskaplig Forskning
Openalex Percentile: Top 26%
Bacterial biofilms and quorum sensing
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.