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Series GSE168393 Query DataSets for GSE168393
Status Public on Mar 06, 2021
Title Translational activation by an alternative sigma factor in Bacillus subtilis
Organism Bacillus subtilis subsp. subtilis str. 168
Experiment type Other
Summary Sigma factors are an important class of bacterial transcription factors that lend specificity to RNA polymerases by binding to distinct promoter elements for genes in their regulons. Here we show that activation of the general stress sigma factor, B, in Bacillus subtilis paradoxically leads to dramatic induction of translation for a subset of its regulon genes. These genes are translationally repressed when transcribed by the housekeeping sigma factor, A, owing to extended RNA secondary structures as determined in vivo using DMS-MaPseq. Transcription fromB-dependent promoters liberates the secondary structures and activates translation, leading to dual induction. Translation efficiencies between B- and A-dependent RNA isoforms can vary by up to 100-fold, which in multiple cases exceeds the magnitude of transcriptional induction. These results highlight the role of long-range RNA folding in modulating translation and demonstrate that a transcription factor can regulate protein synthesis beyond its effects on transcript levels.
 
Overall design RNA was isolated from BS168 cells treated with DMS in vivo and from untreated cells. Regions of the σA-dependent isoforms of ctc and yvrE were specifically reverse-transcribed from each sample using TGIRT-III, which encoded DMS-induced RNA modifications as mutations in the resulting DNA amplicons. Libraries were prepared for sequencing following the established DMS-MaPseq protocol from Tomezsko et al., Nature, 2020 and Zubradt et al., Nature Methods, 2016. DMS signals were quantified using the DREEM algorithm from Tomezsko et al., Nature, 2020 and used as folding constraints to determine the RNA structure for each isoform.
 
Contributor(s) McCormick DM, Lalanne J, Lan TC, Rouskin S, Li G
Citation(s) 33927010
Submission date Mar 06, 2021
Last update date Jun 08, 2021
Contact name Gene-Wei Li
E-mail(s) gwli@mit.edu
Phone 617-324-6703
Organization name Massachusetts Institute of Technology
Department Biology
Lab Gene-Wei Li Lab
Street address 31 Ames Street, 68-223A
City Cambridge
State/province MA
ZIP/Postal code 02142
Country USA
 
Platforms (1)
GPL23473 Illumina MiSeq (Bacillus subtilis subsp. subtilis str. 168)
Samples (4)
GSM5137909 ctc DMS
GSM5137910 ctc NoDMS
GSM5137911 yvrE DMS
Relations
BioProject PRJNA707207
SRA SRP309584

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Supplementary file Size Download File type/resource
GSE168393_RAW.tar 20.0 Kb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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