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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F24%3A00080445" target="_blank" >RIV/65269705:_____/24:00080445 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/24:PU152292
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-64636-2_24" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-64636-2_24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-64636-2_24" target="_blank" >10.1007/978-3-031-64636-2_24</a>

Result language
angličtina
Original language name
Unveiling Diversity: Classification of Klebsiella Pneumoniae Plasmids from Long-read Assemblies
Original language description
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.
Czech name
—
Czech description
—

Project
<a href="/en/project/GA23-05845S" target="_blank" >GA23-05845S: Real-time determination of infection threats from raw nanopore signals using machine learning techniques</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Bioinformatics and Biomedical Engineering, PT II, IWBBIO 2024
ISBN
978-3-031-64636-2
ISSN
2366-6323
e-ISSN
1611-3349
Number of pages
15
Pages from-to
314-328
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
Cham
Event location
Meloneras
Event date
Jul 15, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001308622700024

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