Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
VÍTKOVÁ, H.; NYKRÝNOVÁ, M.; BEZDÍČEK, M.; LENGEROVÁ, M.
Originální název
Unveiling Diversity: Classification of Klebsiella Pneumoniae Plasmids from Long-read Assemblies
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
bacteria; diversity; genome alignment; pangenome; phylogenetics; plasmid type
Klíčová slova v angličtině
Autoři
Rok RIV
2025
Vydáno
28.08.2024
Nakladatel
Springer Nature
ISBN
978-3-031-64636-2
Kniha
Lecture Notes in Bioinformatics
Edice
14849
ISSN
1611-3349
Periodikum
Lecture Notes in Computer Science
Svazek
Číslo
II.
Stát
Švýcarská konfederace
Strany od
314
Strany do
328
Strany počet
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", url="https://link.springer.com/chapter/10.1007/978-3-031-64636-2_24" }