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Whole proteome analysis of germinating and outgrowing Bacillus subtilis 168
J. Pospíšil, A. Sax, M. Hubálek, L. Krásný, J. Vohradský
Language English Country Germany
Document type Journal Article
Grant support
61388971
RVO
CEP Register
LX22NPO5103)
National Institute of virology and bacteriology (Programme EXCELES
22-06342K
Grantová Agentura České Republiky
LM2023055
Ministerstvo Školství, Mládeže a Tělovýchovy
- MeSH
- Bacillus subtilis * metabolism growth & development MeSH
- Bacterial Proteins * metabolism MeSH
- Proteome * metabolism analysis MeSH
- Proteomics methods MeSH
- Spores, Bacterial * metabolism growth & development MeSH
- Computational Biology methods MeSH
- Publication type
- Journal Article MeSH
In this study, we present a high-resolution dataset and bioinformatic analysis of the proteome of Bacillus subtilis 168 trp+ (BSB1) during germination and spore outgrowth. Samples were collected at 14 different time points (ranging from 0 to 130 min) in three biological replicates after spore inoculation into germination medium. A total of 2191 proteins were identified and categorized based on their expression kinetics. We observed four distinct clusters that were analyzed for functional categories and KEGG pathways annotations. The examination of newly synthesized proteins between successive time points revealed significant changes, particularly within the first 50 min. The dataset provides an information base that can be used for modeling purposes and inspire the design of new experiments.
References provided by Crossref.org
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- $a In this study, we present a high-resolution dataset and bioinformatic analysis of the proteome of Bacillus subtilis 168 trp+ (BSB1) during germination and spore outgrowth. Samples were collected at 14 different time points (ranging from 0 to 130 min) in three biological replicates after spore inoculation into germination medium. A total of 2191 proteins were identified and categorized based on their expression kinetics. We observed four distinct clusters that were analyzed for functional categories and KEGG pathways annotations. The examination of newly synthesized proteins between successive time points revealed significant changes, particularly within the first 50 min. The dataset provides an information base that can be used for modeling purposes and inspire the design of new experiments.
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