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One of two osmC homologs in Bacillus subtilis is part of the sigmaB-dependent general stress regulon.

ABSTRACT: In this report we present the identification and analysis of two Bacillus subtilis genes, yklA and ykzA, which are homologous to the partially RpoS-controlled osmC gene from Escherichia coli. The yklA gene is expressed at higher levels in minimal medium than in rich medium and is driven by a putative vegetative promoter. Expression of ykzA is not medium dependent but increases dramatically when cells are exposed to stress and starvation. This stress-induced increase in ykzA expression is absolutely dependent on the alternative sigma factor sigmaB, which controls a large stationary-phase and stress regulon. ykzA is therefore another example of a gene common to the RpoS and sigmaB stress regulons of E. coli and B. subtilis, respectively. The composite complex expression pattern of the two B. subtilis genes is very similar to the expression profile of osmC in E. coli.

SUBMITTER: Volker U

PROVIDER: S-EPMC107419 | biostudies-literature | 1998 Aug

REPOSITORIES: biostudies-literature

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One of two osmC homologs in Bacillus subtilis is part of the sigmaB-dependent general stress regulon.

Völker U U Andersen K K KK Antelmann H H Devine K M KM Hecker M M

Journal of bacteriology 19980801 16

In this report we present the identification and analysis of two Bacillus subtilis genes, yklA and ykzA, which are homologous to the partially RpoS-controlled osmC gene from Escherichia coli. The yklA gene is expressed at higher levels in minimal medium than in rich medium and is driven by a putative vegetative promoter. Expression of ykzA is not medium dependent but increases dramatically when cells are exposed to stress and starvation. This stress-induced increase in ykzA expression is absolut ...[more]

PMID: 9696771

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Project description:Bacteria employ extracytoplasmic function (ECF) sigma factors for their responses to environmental stresses. Despite intensive research, the molecular dissection of ECF sigma factor regulons has remained a major challenge due to overlaps in the ECF sigma factor-regulated genes and the stimuli that activate the different ECF sigma factors. Here we have employed tiling arrays to single out the ECF σ(W) regulon of the Gram-positive bacterium Bacillus subtilis from the overlapping ECF σ(X), σ(Y), and σ(M) regulons. For this purpose, we profiled the transcriptome of a B. subtilis sigW mutant under non-stress conditions to select candidate genes that are strictly σ(W)-regulated. Under these conditions, σ(W) exhibits a basal level of activity. Subsequently, we verified the σ(W)-dependency of candidate genes by comparing their transcript profiles to transcriptome data obtained with the parental B. subtilis strain 168 grown under 104 different conditions, including relevant stress conditions, such as salt shock. In addition, we investigated the transcriptomes of rasP or prsW mutant strains that lack the proteases involved in the degradation of the σ(W) anti-sigma factor RsiW and subsequent activation of the σ(W)-regulon. Taken together, our studies identify 89 genes as being strictly σ(W)-regulated, including several genes for non-coding RNAs. The effects of rasP or prsW mutations on the expression of σ(W)-dependent genes were relatively mild, which implies that σ(W)-dependent transcription under non-stress conditions is not strictly related to RasP and PrsW. Lastly, we show that the pleiotropic phenotype of rasP mutant cells, which have defects in competence development, protein secretion and membrane protein production, is not mirrored in the transcript profile of these cells. This implies that RasP is not only important for transcriptional regulation via σ(W), but that this membrane protease also exerts other important post-transcriptional regulatory functions.

Dataset Information

One of two osmC homologs in Bacillus subtilis is part of the sigmaB-dependent general stress regulon.

Publications

One of two osmC homologs in Bacillus subtilis is part of the sigmaB-dependent general stress regulon.

Similar Datasets

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