title: Genome-wide analysis of the general stress response in Bacillus subtilis.
abstract: Bacteria respond to diverse growth-limiting stresses by producing a large set of general stress proteins. In Bacillus subtilis and related Gram-positive pathogens, this response is governed by the sigma(B) transcription factor. To establish the range of cellular functions associated with the general stress response, we compared the transcriptional profiles of wild and mutant strains under conditions that induce sigma(B) activity. Macroarrays representing more than 3900 annotated reading frames of the B. subtilis genome were hybridized to (33)P-labelled cDNA populations derived from (i) wild-type and sigB mutant strains that had been subjected to ethanol stress; and (ii) a strain in which sigma(B) expression was controlled by an inducible promoter. On the basis of their significant sigma(B)-dependent expression in three independent experiments, we identified 127 genes as prime candidates for members of the sigma(B) regulon. Of these genes, 30 were known previously or inferred to be sigma(B) dependent by other means. To assist in the analysis of the 97 new genes, we constructed hidden Markov models (HMM) that identified possible sigma(B) recognition sequences preceding 21 of them. To test the HMM and to provide an independent validation of the hybridization experiments, we mapped the sigma(B)-dependent messages for seven representative genes. For all seven, the 5' end of the message lay near typical sigma(B) recognition sequences, and these had been predicted correctly by the HMM for five of the seven examples. Lastly, all 127 gene products were assigned to functional groups by considering their similarity to known proteins. Notably, products with a direct protective function were in the minority. Instead, the general stress response increased relative message levels for known or predicted regulatory proteins, for transporters controlling solute influx and efflux, including potential drug efflux pumps, and for products implicated in carbon metabolism, envelope function and macromolecular turnover.
authors.affiliation: Department of Food Science and Technology, University of California, Davis, CA 95616, USA. cwprice@ucdavis.edu
authors.forename: C W
authors.initials: CW
authors.lastname: Price
authors.forename: P
authors.initials: P
authors.lastname: Fawcett
authors.forename: H
authors.initials: H
authors.lastname: Cérémonie
authors.forename: N
authors.initials: N
authors.lastname: Su
authors.forename: C K
authors.initials: CK
authors.lastname: Murphy
authors.forename: P
authors.initials: P
authors.lastname: Youngman
mesh_terms: D001412:Bacillus subtilis / Q000187:drug effects* / Q000235:genetics*; D001426:Bacterial Proteins / Q000235:genetics / Q000378:metabolism*; D001483:Base Sequence; D000431:Ethanol / Q000494:pharmacology*; D020869:Gene Expression Profiling; D015964:Gene Expression Regulation, Bacterial / Q000187:drug effects*; D005798:Genes, Bacterial / Q000235:genetics*; D016680:Genome, Bacterial; D008390:Markov Chains; D009693:Nucleic Acid Hybridization; D009838:Oligodeoxyribonucleotides; D020411:Oligonucleotide Array Sequence Analysis; D018085:Regulon / Q000235:genetics; D012808:Sigma Factor / Q000235:genetics / Q000378:metabolism*; D014158:Transcription, Genetic / Q000187:drug effects
chemical_list: D001426:Bacterial Proteins; D009838:Oligodeoxyribonucleotides; C079011:SigB protein, Bacteria; D012808:Sigma Factor; D000431:Ethanol