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김동혁

Kim, Donghyuk
Systems Biology and Machine Learning Lab.
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Experimental promoter identification of a foodborne pathogen Salmonella enterica subsp. enterica serovar Typhimurium with near single base-pair resolution

Author(s)
Lee, Sang-MokLe, Hoa ThiTaizhanova, AssiyaNong, Linh KhanhPark, Joon YoungLee, Eun-JinPalsson, Bernhard O.Kim, Donghyuk
Issued Date
2024-01
DOI
10.3389/fmicb.2023.1271121
URI
https://scholarworks.unist.ac.kr/handle/201301/81362
Citation
FRONTIERS IN MICROBIOLOGY, v.14, pp.1271121
Abstract
Salmonella enterica serovar Typhimurium (S. Typhimurium) is a common foodborne pathogen which is frequently used as the reference strain for Salmonella. Investigating the sigma factor network and protomers is crucial to understand the genomic and transcriptomic properties of the bacterium. Its promoters were identified using various methods such as dRNA-seq, ChIP-chip, or ChIP-Seq. However, validation using ChIP-exo, which exhibits higher-resolution performance compared to conventional ChIP, has not been conducted to date. In this study, using the representative strain S. Typhimurium LT2 (LT2), the ChIP-exo experiment was conducted to accurately determine the binding sites of catalytic RNA polymerase subunit RpoB and major sigma factors (RpoD, RpoN, RpoS, and RpoE) during exponential phase. Integrated with the results of RNA-Seq, promoters and sigmulons for the sigma factors and their association with RpoB have been discovered. Notably, the overlapping regions among binding sites of each alternative sigma factor were found. Furthermore, comparative analysis with Escherichia coli str. K-12 substr. MG1655 (MG1655) revealed conserved binding sites of RpoD and RpoN across different species. In the case of small RNAs (sRNAs), 50 sRNAs observed their expression during the exponential growth of LT2. Collectively, the integration of ChIP-exo and RNA-Seq enables genome-scale promoter mapping with high resolution and facilitates the characterization of binding events of alternative sigma factors, enabling a comprehensive understanding of the bacterial sigma factor network and condition-specific active promoters.
Publisher
FRONTIERS MEDIA SA
ISSN
1664-302X
Keyword (Author)
Salmonella enterica serovar Typhimurium LT2promotersigma factor networkChIP-exoRNA-seq
Keyword
COMPLETE GENOME SEQUENCEALTERNATIVE SIGMA-FACTORSMALL RNASVIRULENCETRANSCRIPTOMEPOLYMERASENUCLEOTIDERESISTANCEISLANDSSTRESS

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