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NYKRÝNOVÁ, M. BEZDÍČEK, M. LENGEROVÁ, M. VÍTKOVÁ, H.
Original Title
Exploring DNA Methylation Patterns in the Core Genome of Klebsiella pneumoniae
Type
conference paper
Language
English
Original Abstract
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.
Keywords
methylome; cgMLST; bacteria; resistance
Authors
NYKRÝNOVÁ, M.; BEZDÍČEK, M.; LENGEROVÁ, M.; VÍTKOVÁ, H.
Released
28. 8. 2024
Publisher
Springer Nature
ISBN
978-3-031-64636-2
Book
Lecture Notes in Bioinformatics
Edition
14849
Edition number
II.
1611-3349
Periodical
Lecture Notes in Computer Science
Year of study
Number
State
Republic of Italy
Pages from
140
Pages to
152
Pages count
13
URL
https://link.springer.com/chapter/10.1007/978-3-031-64636-2_11
BibTex
@inproceedings{BUT189432, author="Markéta {Jakubíčková} and Matěj {Bezdíček} and Martina {Lengerová} and Helena {Vítková}", title="Exploring DNA Methylation Patterns in the Core Genome of Klebsiella pneumoniae", booktitle="Lecture Notes in Bioinformatics", year="2024", series="14849", journal="Lecture Notes in Computer Science", volume="14849", number="II.", pages="140--152", publisher="Springer Nature", doi="10.1007/978-3-031-64636-2\{_}11", isbn="978-3-031-64636-2", issn="1611-3349", url="https://link.springer.com/chapter/10.1007/978-3-031-64636-2_11" }