Publication detail

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

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

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

28. 8. 2024

Publisher

Springer Nature

ISBN

978-3-031-64636-2

Book

Lecture Notes in Bioinformatics

Edition

14849

Edition number

II.

ISBN

1611-3349

Periodical

Lecture Notes in Computer Science

Year of study

14849

Number

II.

State

Republic of Italy

Pages from

314

Pages to

328

Pages count

15

URL

https://link.springer.com/chapter/10.1007/978-3-031-64636-2_24

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"
}