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 for 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 the time dimension to assess the rate at which bacteria exchange genes, thus fitting the definition of plasticity. Opposite to available indices, 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: Klebsiella pneumoniae, Staphylococcus aureus, and Escherichia coli. 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.
How to measure bacterial genome plasticity? A novel time-integrated index helps gather insights on pathogens / G. Bellinzona, G. Batisti Biffignandi, F. Baldanti, M. Brilli, D. Sassera, S. Gaiarsa. - (2024 Jan 23). [10.1101/2024.01.22.576626]
How to measure bacterial genome plasticity? A novel time-integrated index helps gather insights on pathogens
M. Brilli;D. Sassera;S. Gaiarsa
2024
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 for 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 the time dimension to assess the rate at which bacteria exchange genes, thus fitting the definition of plasticity. Opposite to available indices, 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: Klebsiella pneumoniae, Staphylococcus aureus, and Escherichia coli. 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.File | Dimensione | Formato | |
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