Genome-wide transcriptome analysis reveals that a pleiotropic antibiotic regulator, AfsS, modulates nutritional stress response in Streptomyces coelicolor A3(2)

Wei Lian, Karthik P. Jayapal, Salim Charaniya, Sarika Mehra, Frank Glod, Yun Seung Kyung, David H. Sherman, Wei Shou Hu

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Abstract

Background: A small "sigma-like" protein, AfsS, pleiotropically regulates antibiotic biosynthesis in Streptomyces coelicolor. Overexpression of afsS in S. coelicolor and certain related species causes antibiotic stimulatory effects in the host organism. Although recent studies have uncovered some of the upstream events activating this gene, the mechanisms through which this signal is relayed downstream leading to the eventual induction of antibiotic pathways remain unclear. Results: In this study, we employed whole-genome DNA microarrays and quantitative PCRs to examine the transcriptome of an afsS disruption mutant that is completely deficient in the production of actinorhodin, a major S. coelicolor antibiotic. The production of undecylprodigiosin, another prominent antibiotic, was, however, perturbed only marginally in the mutant. Principal component analysis of temporal gene expression profiles identified two major gene classes each exhibiting a distinct coordinate differential expression pattern. Surprisingly, nearly 70% of the >117 differentially expressed genes were conspicuously associated with nutrient starvation response, particularly those of phosphate, nitrogen and sulfate. Furthermore, expression profiles of some transcriptional regulators including at least two sigma factors were perturbed in the mutant. In almost every case, the effect of afsS disruption was not observed until the onset of stationary phase. Conclusion: Our data suggests a comprehensive role for S. coelicolor AfsS as a master regulator of both antibiotic synthesis and nutritional stress response, reminiscent of alternative sigma factors found in several bacteria.

Original languageEnglish (US)
Article number56
JournalBMC Genomics
Volume9
DOIs
StatePublished - Jan 29 2008

Bibliographical note

Funding Information:
We thank Siguang Sui for his assistance with mutant complementation experiments performed in this study. This work was supported in part by a grant from the National Institutes of Health GM55850. The bioinformatics support was provided by Minnesota Supercomputing Institute at the University of Minnesota. Microarray printing and imaging support was provided by Biomedical Image Processing Laboratory at the University of Minnesota. SM was supported by a Graduate School Fellowship from the University of Minnesota.

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