Abstract

RNA sequencing studies have identified hundreds of non‐coding RNAs in bacteria, including regulatory small RNA (sRNA). However, our understanding of sRNA function has lagged behind their identification due to a lack of tools for the high‐throughput analysis of RNA–RNA interactions in bacteria. Here we demonstrate that in vivo sRNA–mRNA duplexes can be recovered using UV‐crosslinking, ligation and sequencing of hybrids (CLASH). Many sRNAs recruit the endoribonuclease, RNase E, to facilitate processing of mRNAs. We were able to recover base‐paired sRNA–mRNA duplexes in association with RNase E, allowing proximity‐dependent ligation and sequencing of cognate sRNA–mRNA pairs as chimeric reads. We verified that this approach captures bona fide sRNA–mRNA interactions. Clustering analyses identified novel sRNA seed regions and sets of potentially co‐regulated target mRNAs. We identified multiple mRNA targets for the pathotype‐specific sRNA Esr41, which was shown to regulate colicin sensitivity and iron transport in E. coli. Numerous sRNA interactions were also identified with non‐coding RNAs, including sRNAs and tRNAs, demonstrating the high complexity of the sRNA interactome.

Highlights

  • Advances in RNA sequencing technologies and associated applications have driven a revolution in our understanding of the complexity of the transcriptome

  • We reasoned that duplexed small RNA (sRNA)–mRNA pairs might be transiently associated with RNase E prior to mRNA degradation, allowing tagged RNase E to act as a bait in the capture of in vivo interactions by UV-crosslinking (CLASH) (Fig 1A)

  • Complementation of the esr41 mutant by chromosomal knock-in of esr41 restored the growth disadvantage to the esr41 mutant. These results demonstrate that, consistent with mRNA interactions identified by RNase E-CLASH, Esr41 regulates iron uptake and homeostasis in enterohaemorrhagic E. coli (EHEC) and can confer resistance to colicin 1A and colicin 1B in a sensitive background

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Summary

Introduction

Advances in RNA sequencing technologies and associated applications have driven a revolution in our understanding of the complexity of the transcriptome. We previously reported that UV-crosslinking and highthroughput sequencing (CRAC) can be used to identify the binding sites for the RNA chaperone, Hfq, at base pair resolution in the model prokaryote E. coli and the related human pathogen, enterohaemorrhagic E. coli (EHEC) (Tree et al, 2014) These studies revealed that for many sRNA–mRNA interactions, the Hfq binding site is closely associated with the mRNA seed sequence. These results indicated that formation of an sRNA– mRNA duplex may cause dissociation from Hfq and direct RNase E cleavage of the mRNA To test this model, we have identified targets of sRNA-mediated degradation transcriptome-wide and in vivo by applying CLASH to RNase E

Results
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Materials and Methods
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