Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome
Journal Article
·
· Nature Communications
- Univ. of California, San Diego, La Jolla, CA (United States). Dept. of Bioengineering; OSTI
- Univ. of California, San Diego, La Jolla, CA (United States). Dept. of Bioengineering
- Univ. of California, San Diego, La Jolla, CA (United States). Dept. of Bioengineering; Univ. of California, San Diego, La Jolla, CA (United States). Dept. of Pediatrics; Novo Nordisk Foundation Center for Biosustainability, Lyngby (Denmark)
The transcriptional regulatory network (TRN) of Bacillus subtilis coordinates cellular functions of fundamental interest, including metabolism, biofilm formation, and sporulation. Here, we use unsupervised machine learning to modularize the transcriptome and quantitatively describe regulatory activity under diverse conditions, creating an unbiased summary of gene expression. We obtain 83 independently modulated gene sets that explain most of the variance in expression and demonstrate that 76% of them represent the effects of known regulators. The TRN structure and its condition-dependent activity uncover putative or recently discovered roles for at least five regulons, such as a relationship between histidine utilization and quorum sensing. The TRN also facilitates quantification of population-level sporulation states. As this TRN covers the majority of the transcriptome and concisely characterizes the global expression state, it could inform research on nearly every aspect of transcriptional regulation in B. subtilis.
- Research Organization:
- Univ. of San Diego, San Diego, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division
- Grant/Contract Number:
- AC02-05CH11231
- OSTI ID:
- 1816212
- Journal Information:
- Nature Communications, Journal Name: Nature Communications Journal Issue: 1 Vol. 11; ISSN 2041-1723
- Publisher:
- Nature Publishing GroupCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
The Escherichia coli transcriptome mostly consists of independently regulated modules
Reconstruction of the regulatory network for Bacillus subtilis and reconciliation with gene expression data
Extensive cellular multi-tasking within Bacillus subtilis biofilms
Journal Article
·
Tue Dec 03 19:00:00 EST 2019
· Nature Communications
·
OSTI ID:1624220
Reconstruction of the regulatory network for Bacillus subtilis and reconciliation with gene expression data
Journal Article
·
Thu Mar 17 20:00:00 EDT 2016
· Frontiers in Microbiology
·
OSTI ID:1337227
Extensive cellular multi-tasking within Bacillus subtilis biofilms
Journal Article
·
Mon Jul 31 20:00:00 EDT 2023
· mSystems
·
OSTI ID:2204039