Structure-seq2 probing of RNA structure upon amino acid starvation reveals both known and novel RNA switches in Bacillus subtilis

  1. Paul Babitzke3,4
  1. 1Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania 16802, USA
  2. 2Department of Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
  3. 3Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
  4. 4Center for RNA Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
  1. Corresponding author: pxb28{at}psu.edu
  • 5 Present address: Department of Chemistry, University of Pittsburgh at Johnstown, Johnstown, Pennsylvania 15904, USA

  • 6 Present address: Spectrum Health Office of Research, Grand Rapids, Michigan 49503, USA

Abstract

RNA structure influences numerous processes in all organisms. In bacteria, these processes include transcription termination and attenuation, small RNA and protein binding, translation initiation, and mRNA stability, and can be regulated via metabolite availability and other stresses. Here we use Structure-seq2 to probe the in vivo RNA structurome of Bacillus subtilis grown in the presence and absence of amino acids. Our results reveal that amino acid starvation results in lower overall dimethyl sulfate (DMS) reactivity of the transcriptome, indicating enhanced protection owing to protein binding or RNA structure. Starvation-induced changes in DMS reactivity correlated inversely with transcript abundance changes. This correlation was particularly pronounced in genes associated with the stringent response and CodY regulons, which are involved in adaptation to nutritional stress, suggesting that RNA structure contributes to transcript abundance change in regulons involved in amino acid metabolism. Structure-seq2 accurately reported on four known amino acid-responsive riboswitches: T-box, SAM, glycine, and lysine riboswitches. Additionally, we discovered a transcription attenuation mechanism that reduces yfmG expression when amino acids are added to the growth medium. We also found that translation of a leader peptide (YfmH) encoded just upstream of yfmG regulates yfmG expression. Our results are consistent with a model in which a slow rate of yfmH translation caused by limitation of the amino acids encoded in YfmH prevents transcription termination in the yfmG leader region by favoring formation of an overlapping antiterminator structure. This novel RNA switch offers a way to simultaneously monitor the levels of multiple amino acids.

Keywords

  • Received April 20, 2020.
  • Accepted June 28, 2020.

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