How to measure bacterial genome plasticity? A novel index helps gather insights on pathogens

Genome plasticity can be defined as the capacity of a bacterial population to swiftly gain or lose genes. The time factor plays a fundamental role in the evolutionary success of microbes, particularly when considering pathogens and their tendency to gain antimicrobial resistance factors under the pressure of the extensive use of antibiotics. Multiple metrics have been proposed to provide insights into the gene content repertoire, yet they overlook the temporal component, which has a critical role in determining the adaptation and survival of a bacterial strain. In this study, we introduce a novel index that incorporates evolutionary distance to assess the rate at which bacteria exchange genes, thus fitting the definition of plasticity. Opposite to available indexes, our method also takes into account the possibility of contiguous genes being transferred together in one single event. We applied our novel index to measure plasticity in three widely studied bacterial species: <i>Klebsiella pneumoniae</i>, <i>Staphylococcus aureus</i> and <i>Escherichia coli</i>. Our results highlight distinctive plasticity patterns in specific sequence types and clusters, suggesting a possible correlation between heightened genome plasticity and globally recognized high-risk clones. Our approach holds promise as an index for predicting the emergence of strains of potential clinical concern, possibly allowing for timely and more effective interventions.

Authors

Institutions

Publication Details

Journal
Microbial Genomics
Published
2025-08-04
DOI
https://doi.org/10.1099/mgen.0.001459
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

How to measure bacterial genome plasticity? A novel index helps gather insights on pathogens

Greta Bellinzona, Stefano Gaiarsa, Gherard Batisti Biffignandi, Davide Sassera et al.
Microbial Genomics
Genomics and Phylogenetic Studies
article

How to measure bacterial genome plasticity? A novel index helps gather insights on pathogens

Greta Bellinzona, Stefano Gaiarsa, Gherard Batisti Biffignandi, Davide Sassera, Fausto Baldanti, Matteo Brilli
article en

Abstract

Genome plasticity can be defined as the capacity of a bacterial population to swiftly gain or lose genes. The time factor plays a fundamental role in the evolutionary success of microbes, particularly when considering pathogens and their tendency to gain antimicrobial resistance factors under the pressure of the extensive use of antibiotics. Multiple metrics have been proposed to provide insights into the gene content repertoire, yet they overlook the temporal component, which has a critical role in determining the adaptation and survival of a bacterial strain. In this study, we introduce a novel index that incorporates evolutionary distance to assess the rate at which bacteria exchange genes, thus fitting the definition of plasticity. Opposite to available indexes, our method also takes into account the possibility of contiguous genes being transferred together in one single event. We applied our novel index to measure plasticity in three widely studied bacterial species: <i>Klebsiella pneumoniae</i>, <i>Staphylococcus aureus</i> and <i>Escherichia coli</i>. Our results highlight distinctive plasticity patterns in specific sequence types and clusters, suggesting a possible correlation between heightened genome plasticity and globally recognized high-risk clones. Our approach holds promise as an index for predicting the emergence of strains of potential clinical concern, possibly allowing for timely and more effective interventions.

Microbial GenomicsVol. 11(8)
European Bioinformatics Institute (GB), University of Cambridge (GB), University of Pavia (IT), Policlinico San Matteo Fondazione (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Istituto Nazionale Genetica Molecolare (IT)
Ministero della Salute
Openalex Percentile: Top 82%
Genomics and Phylogenetic Studies
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.