Exploring DNA Methylation Patterns in the Core Genome of Klebsiella pneumoniae

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F24%3A00080450" target="_blank" >RIV/65269705:_____/24:00080450 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/24:PU151993
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-64636-2_11" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-64636-2_11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-64636-2_11" target="_blank" >10.1007/978-3-031-64636-2_11</a>

Result language
angličtina
Original language name
Exploring DNA Methylation Patterns in the Core Genome of Klebsiella pneumoniae
Original language description
In recent years, sequencing has become easily accessible and widespread, revolutionizing our ability to study complex genetic information. Thus, it is possible to analyze complex bacterial populations and investigate relationships between individual strains. Methods such as core genome multilocus sequence typing (cgMLST) are used in routine clinical practice to characterize bacterial isolates, track the spread of infectious diseases, and monitor outbreaks. However, the limitation lies in distinguishing closely related bacterial strains, which differ only in several bases. Therefore, here, we present the core genome methylome analysis utilizing nanopore sequencing. We demonstrate that epigenetic information contained within bacterial strains allows us to differentiate populations similarly to cgMLST. Moreover, the proposed unique combination of cgMLST with core genome methylome can even increase the discriminatory power between closely similar isolates, overcoming the constraints of cgMLST. Combining genomic and epigenomic information can provide better insight into bacterial strains' evolution, transmission patterns and pathogenicity study.
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
13
Pages from-to
140-152
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
001308622700011

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