Evidence map›Paper›PMID 40758414›Full record

ArticleMicrobial genomics2025

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

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

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Article in Microbial genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Greta BellinzonaDepartment of Biology and Biotechnology, University of Pavia, Pavia, Italy.
Gherard Batisti BiffignandiDepartment of Biology and Biotechnology, University of Pavia, Pavia, Italy.
Matteo BrilliDepartment of Biosciences, Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, University of Milan, Milan, Italy.
Fausto BaldantiDepartment of Medical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
Davide SasseraDepartment of Biology and Biotechnology, University of Pavia, Pavia, Italy.
Stefano GaiarsaMicrobiology and Virology Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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:

Indexed as

Evolution, MolecularGenome, BacterialMutation RateDrug Resistance, BacterialEscherichia coliKlebsiella pneumoniaeModels, GeneticStaphylococcus aureusVirulenceevolutiongenome plasticitygenomics

Identifiers

PMID40758414
PMCPMC12321203

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.