Detail publikace

Unveiling Diversity: Classification of Klebsiella Pneumoniae Plasmids from Long-read Assemblies

VÍTKOVÁ, H. NYKRÝNOVÁ, M. BEZDÍČEK, M. LENGEROVÁ, M.

Originální název

Unveiling Diversity: Classification of Klebsiella Pneumoniae Plasmids from Long-read Assemblies

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Plasmids, integral to bacterial evolution, pose challenges in their genome classification due to incomplete assembly data. While next-generation sequencing has improved plasmid classification, challenges persist in accurately assembling complete plasmid genomes. This study presents a novel plasmid classification methodology based on complete genome similarity, utilizing three metrics: nucleotide composition, gene occurrence, and structural dissimilarity. Tested on a local Klebsiella pneumoniae population, the method outperforms pMLST and PlasmidFinder, distinguishing plasmids even in fusion cases. Applied across diverse bacterial populations, this reference-free approach proves adaptable, offering a valuable tool for monitoring plasmid mobility and diversity. Third-generation sequencing advancements provide a comprehensive understanding of plasmid dynamics, which is essential for addressing antibiotic resistance and bacterial pathogenicity.

Klíčová slova

bacteria; diversity; genome alignment; pangenome; phylogenetics; plasmid type

Autoři

VÍTKOVÁ, H.; NYKRÝNOVÁ, M.; BEZDÍČEK, M.; LENGEROVÁ, M.

Vydáno

28. 8. 2024

Nakladatel

Springer Nature

ISBN

978-3-031-64636-2

Kniha

Lecture Notes in Bioinformatics

Edice

14849

Číslo edice

II.

ISSN

1611-3349

Periodikum

Lecture Notes in Computer Science

Ročník

14849

Číslo

II.

Stát

Italská republika

Strany od

314

Strany do

328

Strany počet

15

URL

BibTex

@inproceedings{BUT189778,
  author="Helena {Vítková} and Markéta {Jakubíčková} and Matěj {Bezdíček} and Martina {Lengerová}",
  title="Unveiling Diversity: Classification of Klebsiella Pneumoniae Plasmids from Long-read Assemblies",
  booktitle="Lecture Notes in Bioinformatics",
  year="2024",
  series="14849",
  journal="Lecture Notes in Computer Science",
  volume="14849",
  number="II.",
  pages="314--328",
  publisher="Springer Nature",
  doi="10.1007/978-3-031-64636-2\{_}24",
  isbn="978-3-031-64636-2",
  issn="1611-3349",
  url="https://link.springer.com/chapter/10.1007/978-3-031-64636-2_24"
}