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Molecular mechanism of mRNA repression in trans by a ProQ‐dependent small RNA

Alexandre Smirnov, Chuan Wang, Lisa L Drewry and 1 more

The EMBO Journal · 2017 · CC BY

doi:10.15252/embj.201696127

Abstract

Research into post‐transcriptional control of mRNAs by small noncoding RNAs (sRNAs) in the model bacteria Escherichia coli and Salmonella enterica has mainly focused on sRNAs that associate with the RNA chaperone Hfq. However, the recent discovery of the protein ProQ as a common binding partner that stabilizes a distinct large class of structured sRNAs suggests that additional RNA regulons exist in these organisms. The cellular functions and molecular mechanisms of these new ProQ‐dependent sRNAs are largely unknown. Here, we report in Salmonella Typhimurium the mode‐of‐action of RaiZ, a ProQ‐dependent sRNA that is made from the 3′ end of the mRNA encoding ribosome‐inactivating protein RaiA. We show that RaiZ is a base‐pairing sRNA that represses in trans the mRNA of histone‐like protein HU‐α. RaiZ forms an RNA duplex with the ribosome‐binding site of hupA mRNA, facilitated by ProQ, to prevent 30S ribosome loading and protein synthesis of HU‐α. Similarities and differences between ProQ‐ and Hfq‐mediated regulation will be discussed.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 24, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

Many if not all organisms use small base‐pairing RNAs to modulate mRNA expression at the post‐transcriptional level (Gorski et al, 2017; Kunne et al, 2014). These regulatory pathways often rely upon a conserved RNA‐binding protein, primary examples of which are Argonaute family members in the microRNA pathway of eukaryotes (Huntzinger & Izaurralde, 2011; Meister, 2013) and the Sm‐like protein Hfq in prokaryotes (Bossi & Figueroa‐Bossi, 2016; De Lay et al, 2013; Updegrove et al, 2016; Vogel & Luisi, 2011; Wagner & Romby, 2015). Intense work on these pathways over the past decade has revealed the existence of large post‐transcriptional networks that affect almost every cellular aspect and rival the complexity of primary gene expression control at the level of transcription.

The Hfq pathway has been particularly well mapped in the Gram‐negative model bacteria Escherichia coli (Melamed et al, 2016; Schu et al, 2015; Tree et al, 2014), Salmonella enterica (Holmqvist et al, 2016), Vibrio cholera (Papenfort et al, 2015a) and Pseudomonas (Sonnleitner et al, 2008), in which the protein serves two general functions: protecting the Hfq‐associated small noncoding RNAs (sRNAs) from cellular nucleases and helping them to recognize their target mRNAs. Most Hfq‐associated sRNAs bind to their targets near the site of translational initiation (Melamed et al, 2016; Waters et al, 2016) and, therefore, this class of riboregulators primarily repress protein synthesis through steric interference with 30S ribosome binding (Balbontín et al, 2010; Bouvier et al, 2008; Morita et al, 2006; Udekwu & Wagner, 2007). However, additional mechanisms of repression have been reported which include deposition of Hfq within the mRNA 5′ untranslated region (5′ UTR) (Desnoyers & Massé, 2012) as well as target destabilization by recruitment of endoribonuclease RNase E to the mRNA coding sequence (CDS) (Bandyra et al, 2012; Pfeiffer et al, 2009). Conversely, Hfq‐associated sRNAs also regulate some mRNAs positively by at least two different mechanisms, outcompeting translation‐incompetent structures in the mRNA 5′‐region (Papenfort et al, 2015b; Soper et al, 2010) or increasing mRNA stability by masking RNase E cleavage sites (Fröhlich et al, 2013; Papenfort et al, 2013). The same Hfq‐associated sRNA may use multiple seed regions (Coornaert et al, 2013; Lee & Gottesman, 2016; Sharma et al, 2011) and no fewer than four different mechanisms to control its full suite of target mRNAs (Feng et al, 2015). Hfq is important for these sRNA–mRNA interactions which are usually imperfect and cannot be efficiently formed without assistance (Moll et al, 2003; Moller et al, 2002; Sobrero & Valverde, 2012; Updegrove et al, 2015; Zhang et al, 2002). Importantly, Hfq only interacts with single‐stranded regions of its ligands and, once the sRNA–mRNA duplex has been formed, it typically dissociates and is available to bind other sRNAs (Fender et al, 2010; Hopkins et al, 2011; Ishikawa et al, 2012).

The wealth of molecular insight gained for the Hfq network overshadows the fact that these sRNAs constitute only a third of the ~300 sRNAs that have been annotated in, for example, Salmonella (Colgan et al, 2016; Westermann et al, 2016). Moreover, growing evidence suggests that regulation by Hfq represents only a part of post‐transcriptional regulatory processes in bacteria. Many microbes, such as Helicobacter or Mycobacterium, lack an Hfq homologue altogether (Chao & Vogel, 2010; Sharma et al, 2010; Wagner & Romby, 2015), and in Staphylococcus, Hfq is lowly expressed and dispensable for mRNA regulation (Bohn et al, 2007; Romilly et al, 2012). Even in canonical Hfq‐containing E. coli and S. enterica, a number of functional Hfq‐independent sRNA species have been described. They include most cis‐acting antisense RNAs (asRNAs), which employ extensive perfect base pairing to repress mRNAs encoded on the opposite strand (Georg & Hess, 2011; Thomason & Storz, 2010). Plasmid‐encoded asRNAs often use highly specific RNA chaperones (e.g. FinO, Rom) to assist these functions, whereas chromosomally encoded asRNAs are traditionally believed to operate in a protein‐independent manner (Wagner & Romby, 2015). There are several additional specialized RNA–protein complexes; for example, CRISPR RNAs rely on dedicated molecular machinery provided by Cas proteins (van der Oost et al, 2014) and Y‐like sRNAs associate with Ro proteins and PNPase to assist the degradation of structured RNAs (Chen et al, 2013). Naturally, sRNAs that do not employ base‐pairing interactions to perform their functions but sequester certain regulatory proteins are also usually Hfq independent (Babitzke & Romeo, 2007; Göpel et al, 2013; Wassarman & Storz, 2000). However, additional proteins, other than Hfq, that define their own large classes of sRNAs have remained unknown.

Recently, we applied Grad‐seq (RNA‐seq‐coupled partitioning of the transcriptome by density gradient centrifugation) to visualize the biochemical structure of Salmonella Typhimurium's RNA ensemble according to their involvement in ribonucleoproteins (RNPs) (Smirnov et al, 2016). While cosedimentation with Hfq explains the behaviour of ~20% of sRNAs, many additional sRNAs are apparently involved in different RNPs. Using sRNAs of this latter class as baits, we subsequently identified protein ProQ as a common binding partner.

ProQ is a conserved abundant RNA‐binding protein of the ProQ/FinO family that is widely spread in α‐, β‐ and γ‐proteobacteria (Attaiech et al, 2016; Chaulk et al, 2010, 2011; Glover et al, 2015; Smirnov et al, 2016) and whose solution structure has recently been solved in E. coli (Gonzales et al, 2017). We have demonstrated that ProQ associates with several hundred cellular transcripts, including dozens of sRNAs and that this protein has a profound impact on bacterial gene expression and physiology. On average, ProQ‐associated sRNAs tend to be more folded than Hfq‐dependent sRNAs, suggesting that ProQ preferentially binds transcripts with extensive secondary structure. While some of these sRNAs are part of known and putative type I toxin–antitoxin systems or were implicated in mRNA regulation by earlier studies, most are of unknown function (Smirnov et al, 2016).

Here, we report the characterization of a ProQ‐dependent sRNA and the associated molecular function of the protein. We show that the RaiZ sRNA (formerly known as STnc2090; Chao et al, 2012) is induced upon entry in stationary phase and that it acts in trans to downregulate the translation of the hupA mRNA, which encodes the α‐subunit of the bacterial histone‐like protein HU. RaiZ forms a base‐pairing interaction with the hupA ribosome‐binding site (RBS) to repress translation. ProQ has a double role in this regulation: (i) it is necessary for the intracellular stabilization of RaiZ, and (ii) it together with the RaiZ‐hupA duplex prevents 30S ribosome loading. These results lay the foundation for a mechanistic exploration of target regulation by the new large class of ProQ‐associated sRNAs.

Biogenesis of the RaiZ sRNA by 3′ mRNA processing

RaiZ was initially identified as candidate sRNA STnc2090 in a screen for Hfq‐associated transcripts in Salmonella Typhimurium (Chao et al, 2012). It originates from the highly conserved raiA gene (encoding a cold shock‐inducible ribosome‐inactivating protein) of which it covers the last third of the CDS and the entire 3′ UTR. The RaiZ RNA sequence is conserved in several enterobacteria that are closely related to Salmonella (Fig 1A).

Northern blot probing of S. Typhimurium total RNA samples showed that RaiZ is primarily expressed in the stationary phase (OD600 > 2) or in a growth medium that induces the Salmonella pathogenicity island‐1 (SPI‐1) and less in the exponential phase or under Salmonella pathogenicity island‐2 (SPI‐2)‐inducing conditions (Fig 1B), in accordance with available global RNA‐seq profiling data (Kröger et al, 2013). In both S. enterica and E. coli, we detected two major RaiZ species, a 160‐nt form (RaiZ) and a 122‐nt processed sRNA (RaiZ‐S), with a cumulative abundance of up to 50–60 copies per cell (Fig EV1). However, there are no transcription start sites within the raiA CDS (Kröger et al, 2012), suggesting that RaiZ is produced by endonucleolytic cleavage of the raiA mRNA. The cleavage site in the parental raiA mRNA that yields RaiZ is A/U‐rich (Fig 1A), suggesting it would be a good substrate for the major mRNA processing enzyme RNase E (Mackie, 2013). Indeed, while in wild‐type Salmonella RaiZ is efficiently produced at both 28°C and 44°C, the raiA mRNA accumulates in a thermosensitive rne‐3071 mutant (Apirion & Lassar, 1978) upon shifting to the non‐permissive temperature, and RaiZ is no longer produced (Fig 1C), which is also confirmed by our recent genomewide analysis of RNase E cleavage sites (Chao et al, 2017). This supports a model whereby RaiZ arises from RNase E‐mediated mRNA turnover, similar to the biogenesis of the 3′‐end‐derived sRNAs CpxQ and SroC (Chao & Vogel, 2016; Miyakoshi et al, 2015a).

RaiZ is a ProQ‐dependent sRNA

Although RaiZ was initially identified through its co‐purification with Hfq (Chao et al, 2012), it has now emerged as a top ligand of ProQ, showing high enrichment in previous RIP‐seq data obtained with a chromosomally FLAG‐tagged ProQ protein (Fig 2A) (Smirnov et al, 2016). In addition, ProQ has been shown to bind both the longer and the shorter RaiZ forms in the low nanomolar range, indicating a strong interaction (Smirnov et al, 2016). As shown in Fig 2B, a ProQ‐RaiZ complex is formed with high specificity and is even not affected by the presence of a 500‐fold excess of tRNA. Using single‐strand‐specific Pb(II) treatment and the double‐strand‐specific RNase V1, we probed the native structure and identified the ProQ‐protected sites of RaiZ (Fig 2C and Appendix Fig S1). In good agreement with in silico predictions (see Materials and Methods), both RaiZ and RaiZ‐S contain several structured regions, including a large domain with an internal loop and a small hairpin next to the intrinsic terminator, separated by a long unstructured central spacer (Fig 2D). ProQ protects primarily the two 3′‐terminal stem‐loops and the base of the large 5′‐terminal structured domain. These binding preferences resemble those of the protein FinO which is a well‐characterized plasmid‐encoded homologue of ProQ that interacts with the base of a stem‐loop and the adjacent single‐stranded regions of the FinP sRNA (Arthur et al, 2011). Moreover, a Legionella ProQ homologue, RocC, also appears to recognize the Rho‐independent terminator of its major target, the RocR sRNA (Attaiech et al, 2016). This binding mode is also in agreement with our recent analysis of the ProQ in vivo interactome which shows that ProQ strongly prefers structured RNAs (Smirnov et al, 2016).

In line with earlier observations showing that RaiZ efficiently interacts in vivo with Hfq (Chao et al, 2012; Smirnov et al, 2016), we confirmed the formation of a stable RaiZ‐Hfq complex in vitro (Fig EV2). Therefore, RaiZ was found to engage in strong interactions with both ProQ and Hfq in vitro and in vivo (Figs 2 and EV2), which prompted us to evaluate the impact of each RNA chaperone on RaiZ stability. RaiZ was equally well produced in wild‐type and Δhfq Salmonella, but failed to accumulate in a ΔproQ strain (Fig 3A; Smirnov et al, 2016). Analysis of the RaiZ half‐life in bacteria treated with rifampicin to arrest transcription clearly indicated that of the two RNA chaperones, only ProQ was required for RaiZ stability, whereas hfq deletion did not significantly affect the half‐life of the sRNA (Fig 3B). The RaiZ stability defect in ΔproQ could not be rescued by over expression of the sRNA even from a high‐copy plasmid (Fig EV3), indicating that ProQ primarily affects the half‐life of RaiZ and not the transcription of raiA. Therefore, although both RNA chaperones bind RaiZ with high affinity, only ProQ was required for its stability.

RaiZ post‐transcriptionally regulates hupA, encoding a histone‐like protein

To obtain insight into the function of RaiZ, we performed a pulse‐expression analysis (Massé et al, 2005; Papenfort et al, 2006) with the RaiZ sequence cloned into a multicopy plasmid under the control of an arabinose‐inducible promoter. RaiZ expression was induced for 10 min in the exponential phase (when the chromosomal sRNA is barely expressed; Fig 1B), followed by RNA‐seq to determine expression changes on the genomewide level. We observed a reproducible 6.9 ± 2.0‐fold (mean ± SD) downregulation of a single mRNA encoding the α‐subunit of the histone‐like protein HU, hupA (Fig 4A). Since the short time of induction makes secondary effects on gene expression unlikely (Sharma & Vogel, 2009), we considered hupA a direct target of RaiZ.

To validate this regulation, we overexpressed RaiZ under control of a constitutive promoter in a strain carrying a chromosomally FLAG‐tagged allele of hupA (Fig 4B). In the control strain, the hupA mRNA accumulated almost exclusively in the exponential phase, whereas the corresponding protein levels remained constant throughout growth. In contrast, RaiZ overexpression affected the target at both the mRNA and protein levels, resulting in an 8.2 ± 2.9‐fold (mean ± SD) decrease in HU‐α production. These results were corroborated by the use of fluorescent reporter constructs (Fig 4C). When a gfp CDS was cloned in frame with 15 N‐terminal residues of HU‐α preceded by the hupA mRNA 5′ UTR and under control of a constitutive promoter, overexpression of RaiZ resulted in significantly lower fluorescence, compared to a strain carrying the empty pJV300 plasmid. RaiZ overexpression did not affect a gfp reporter preceded by an unrelated 5′ UTR under the control of the same constitutive promoter (Fig 4C, pXG1) or an analogously constructed hupB reporter (see also Appendix Fig S2). These data indicate that of the two subunits of HU, encoded by hupA and hupB, only HU‐α is subject to post‐transcriptional regulation by RaiZ, and this regulation depended on its 5′ UTR and/or the start codon‐proximal portion of the hupA CDS. In line with above data (Fig 3), this regulation was not affected by a Δhfq mutation, suggesting that Hfq is not required for RaiZ‐mediated hupA repression (Fig EV4).

RaiZ is a base‐pairing trans‐acting sRNA

Since RaiZ efficiently repressed translation of a GFP reporter preceded by the hupA 5′ UTR and a few start codon‐proximal codons (Fig 4C), we hypothesized that RaiZ may target the RBS of the hupA mRNA, as seen with many Hfq‐dependent sRNAs (De Lay et al, 2013; Vogel & Luisi, 2011). Indeed, extensive though imperfect pairing, involving a total of 23 bases on either side and covering the upstream region of the start codon, was predicted between the two RNAs (Fig 5A and Appendix Fig S2). In agreement with this prediction, the two RNAs interacted efficiently in vitro, forming a duplex with apparent K d of ~80 nM (Fig 5B), which is similar to the affinity of other predicted ProQ‐dependent sRNAs for which targets are known (Darfeuille et al, 2007; Ellis et al, 2015; Han et al, 2010; Silva et al, 2013; Smirnov et al, 2016).

Structure probing of the RaiZ‐hupA mRNA duplex validated this targeting model (Figs 5C and EV5) and revealed several interesting features of the interaction. It showed a high degree of symmetry involving an upstream single‐stranded region and a downstream stem‐loop in both RNAs (Fig 5A). The stem‐loop in each RNA formed base‐pairing interactions with the opposite single‐stranded stretch and the stem‐loop of the partner, resulting in a long imperfect duplex. In RaiZ (both the long and the short forms), the sites concerned included the short hairpin upstream of the terminator and the adjacent portion of the long single‐stranded spacer, whereas in the hupA mRNA they covered ~30 nucleotides of the 5′ UTR immediately adjacent to the start codon (Fig 5A). The perfectly base‐paired central region of the duplex underwent a strong site‐specific cleavage by RNase III in vitro (Figs 5C and EV5), indicative of an extensive and stable interaction. Interestingly, RaiZ‐S conferred more efficient RNase III cleavage than the longer RaiZ (Fig EV5B), suggesting that the processed sRNA is particularly apt for the interaction and represents the active regulatory form of the sRNA.

To verify whether the downregulation of the hupA mRNA by RaiZ relies on the same interaction in vivo, we designed mutant versions of both partners by swapping two nucleotides engaged in the strongest stretch of the intermolecular duplex (Fig 5A). The mutant RNAs failed to form stable complexes with their wild‐type partners and confer the characteristic strong RNase III cleavage in the correct position in vitro (Fig EV5A and B). As expected, ectopic expression of RaiZ under the control of a constitutive promoter in a Salmonella strain lacking the raiA‐RaiZ locus demonstrated that only the wild‐type RaiZ and RaiZ‐S were able to repress hupA expression. RaiZ and RaiZ‐S containing the U81A, U82A mutations in the base‐pairing region, failed to achieve a similar level of downregulation, despite accumulating to the same levels (Fig 6A). Interestingly, when using the full‐size RaiZ construct, the RaiZ‐S species accumulated, indicating that the long RaiZ form contains all structural elements necessary for correct RaiZ maturation.

When we used our GFP reporter system to assess the effect of these nucleotide substitutions on the hupA regulation in vivo, we again observed a significant decrease in fluorescence when both wild‐type RaiZ and the hupA 5′ UTR‐controlled gfp construct were co‐expressed (Fig 6B). On the contrary, repression was completely relieved by mutations in either RaiZ (U81A, U82A) or the hupA 5′ UTR (A‐11U, A‐10U). Importantly, combination of both mutant partners, which restores base pairing, rescued wild‐type levels of repression (Fig 6B). Altogether, these results prove that RaiZ downregulates hupA via a base‐pairing interaction with its 5′ UTR near the RBS.

ProQ assists RaiZ in preventing ribosome loading on the hupA mRNA

The RaiZ‐hupA mRNA interaction occurs very efficiently and does not require assistance of either ProQ or Hfq in vitro (Fig 5B). Nevertheless, ProQ is critically required for RaiZ stability in the cell (Fig 3). To determine whether ProQ has a role in the RaiZ‐dependent hupA repression beyond maintaining sRNA abundance, we overexpressed RaiZ‐S in the proQ + and ΔproQ backgrounds, which resulted in the saturation of the sRNA levels well beyond the apparent K d in both strains (Fig 7A; the estimated resulting RaiZ‐S concentrations are > 4 μM, see Materials and Methods for further detail). Strikingly, while hupA expression was strongly repressed by RaiZ‐S in the proQ + strain, the sRNA failed to fully deplete HU‐α in the absence of ProQ. Analogously, whereas during the transition phase (OD600 = 2) hupA mRNA level dropped ~4‐fold in the proQ + strain compared to the same strain carrying the control plasmid, it remained constant at ~75% of control in the ΔproQ background (Fig 7A). Therefore, although ProQ has a major impact on RaiZ stability, these results suggest that ProQ may also be required for regulation downstream of RaiZ production and the RaiZ‐hupA mRNA interaction.

Since RaiZ affects HU‐α protein levels to a greater extent than the mRNA (Figs 6A and 7A), we hypothesized that it primarily interferes with translation, with mRNA destabilization being a secondary consequence of lower ribosome occupancy. Using the toeprint assay, we analysed the effect of RaiZ‐S on 30S ribosome loading on the hupA translation initiation region (Fig 7B). In the presence of 30S subunits and formylmethionylated initiator tRNA, a characteristic strong toeprint was observed ~15 nt upstream of the start codon, indicating the correct assembly of the translation initiation complex. Addition of RaiZ‐S resulted in a small but dose‐dependent decrease of the toeprint signal, demonstrating that the sRNA is capable of interfering with 30S ribosome loading, albeit not efficiently. Strikingly, simultaneous addition of both RaiZ‐S and ProQ resulted in the strong suppression of the toeprint, paralleled by the appearance of a new reverse transcriptase stalling site downstream, in front of the region involved in the base pairing with RaiZ (Fig 7B). This new signal did not depend on the presence of 30S subunits or tRNA and could not be produced by ProQ alone, suggesting that it corresponds to a tripartite complex involving the hupA 5′ UTR, RaiZ‐S and ProQ. Indeed, a stable ternary complex was observed in electrophoretic mobility shifts assay (EMSA) in the presence of ProQ (Fig 7C). Therefore, ProQ together with the RaiZ‐hupA mRNA duplex may further prevent 30S ribosomes from loading onto and initiating translation of the hupA mRNA.

Discussion

The vast majority of currently known ProQ‐binding sRNAs are of unknown function (Smirnov et al, 2016). We have previously observed that asRNAs are enriched in the ProQ interactome, suggesting that this protein may be involved in gene expression regulation via perfect base pairing with cis‐encoded mRNA targets. Some of these asRNAs and their regulatory mechanisms have been characterized, including members of the Sib, Rdl, and IstR families of type I antitoxins, the transposon‐associated art200 and the intergenic cis‐acting SraG sRNAs (Darfeuille et al, 2007; Ellis et al, 2015; Fontaine et al, 2016; Han et al, 2010; Kawano, 2012; Mok et al, 2010). Some other ProQ‐associated sRNAs are derived from transcriptional attenuators (SraF, rimP leader) or have been proposed to function as trans‐encoded base‐pairing sRNAs (SraL) (Argaman et al, 2001; Naville & Gautheret, 2010; Nechooshtan et al, 2009; Plumbridge et al, 1985; Silva et al, 2013; Sittka et al, 2008). Recently, one of the ProQ‐bound sRNAs derived from a tRNA trailer sequence (STnc2180 in Salmonella) has been shown to behave as a sponge to control the level and activity of other sRNAs in E. coli (Lalaouna et al, 2015). We have previously shown that ProQ stabilizes many of its sRNA ligands but its immediate role in their regulatory functions has not been addressed (Smirnov et al, 2016).

Here, we describe the first example of sRNA‐mediated mRNA regulation involving ProQ in the model enterobacterium Salmonella Typhimurium. We show that RaiZ specifically base pairs with its unique target, the hupA mRNA, and, with the help of ProQ, inhibits translation initiation by interfering with 30S ribosome loading (Fig 7D). Our data suggest that ProQ plays a double role in this mechanism: (i) it critically enhances RaiZ stability, thus allowing a larger time window for its regulatory activity, and (ii) it binds the inhibitory complex involving both base‐paired RNAs which helps to prevent 30S ribosome binding.

Interestingly, the regulatory mode adopted by RaiZ combines the properties of both Hfq‐dependent trans‐acting sRNAs and Hfq‐independent cis‐acting asRNAs. Similar to a significant fraction of Hfq‐interacting sRNAs (Chao et al, 2012, 2017; Miyakoshi et al, 2015b), RaiZ is generated through a RNase E‐dependent maturation process. Both RaiZ and RaiZ‐S strongly bind to ProQ via their 3′ stem‐loops but the latter form seems to be more functionally proficient, suggesting that the level of RaiZ regulatory activity may be controlled by processing, as it has been suggested for the Hfq‐dependent ArcZ sRNA (Chao et al, 2017; Papenfort et al, 2009; Soper et al, 2010). Structurally, RaiZ resembles canonical Hfq‐dependent sRNAs (Updegrove et al, 2015): An extensive single‐stranded region, participating in the interaction with the hupA mRNA, is followed by a stem‐loop and a typical intrinsic terminator. Yet, it lacks U‐rich sequences near the seed, which have been shown to be important in Hfq‐dependent regulatory modes (Ishikawa et al, 2012; Updegrove et al, 2015), and contains an additional structural domain that also contributes to ProQ binding. Therefore, although the general RaiZ design follows the same pattern as Hfq‐dependent riboregulators, it is unlikely to function as such. Moreover, the base‐pairing regions of RaiZ and the hupA mRNA show similarities to those of cis‐encoded antisense RNAs (Fig 5A). The critical part of the RaiZ seed is folded into a short stem‐loop which reciprocally contacts an analogous structural element on the mRNA side. Similar base‐pairing patterns involving terminal loops have been documented in Sib/isb antitoxin–toxin loci (Han et al, 2010), the IS200 transposition‐regulating art200/tnp module (Ellis et al, 2015), the F plasmid FinP/traJ conjugation‐controlling system (Gubbins et al, 2003; Koraimann et al, 1996), and, most recently, in the RocR/comEA interaction which limits natural competence in Legionella (Attaiech et al, 2016).

The examples of FinP and RocR are of particular interest as these sRNAs function under control of the RNA chaperones FinO and RocC, respectively, which belong to the same protein family as ProQ, albeit they remain highly specialized with FinP and RocR being their only sRNA ligands (Attaiech et al, 2016; Glover et al, 2015). It is likely, therefore, that other sRNAs under control of ProQ/FinO proteins may employ similar base‐pairing mechanisms relying on the inherent ability of these chaperones to deal with structured RNA substrates (Arthur et al, 2011; Smirnov et al, 2016). Interestingly, unlike most of the above‐mentioned sRNAs, RaiZ and RocR act in trans engaging in imperfect base‐pairing interactions, a trait traditionally associated with Hfq‐dependent functions. This suggests that ProQ‐dependent sRNAs may act on both cis‐ and trans‐encoded targets while using similar base‐pairing strategies.

The role of ProQ in early regulatory events involving RaiZ is reminiscent of that of Hfq, FinO or RocC. In all four cases, the RNA chaperone contributes to regulation by stabilizing its sRNA ligands. Deletions of hfq, finO and rocC are accompanied by significant depletion of Hfq‐dependent sRNAs, FinP and RocR, respectively, leading to the deregulation of their target genes (Attaiech et al, 2016; Jerome et al, 1999; Vogel & Luisi, 2011). Interestingly, although RaiZ also co‐immunoprecipitates with Hfq (Chao et al, 2012) and engages in a high affinity interaction with this RNA chaperone in vitro, deletion of hfq does not seem to affect RaiZ abundance, stability or sRNA‐mediated hupA repression. By contrast, proQ deletion compromised RaiZ accumulation and resulted in an approximately fourfold drop in the sRNA stability (Fig 3; Smirnov et al, 2016), again suggesting that RaiZ functions primarily in a ProQ‐dependent mode. The significance of RaiZ association with Hfq is currently unknown. Hfq may reside on Rho‐independent terminators of transcripts without noticeable functional consequences (Sauer & Weichenrieder, 2011; Sittka et al, 2008) or, alternatively, take part in RaiZ processing. Interestingly, another ProQ‐dependent sRNA, art200, was originally characterized as Hfq‐associated (Sittka et al, 2008), although Hfq has no effect on either its stability or regulatory activity (Ellis et al, 2015). Therefore, the strong affinity for both RNA chaperones does not necessarily imply the involvement of a sRNA in both regulons. However, as the E. coli RaiZ orthologue was recently predicted to base pair with certain mRNAs as a part of Hfq‐containing complexes (Melamed et al, 2016), additional, Hfq‐dependent, RaiZ‐mediated regulatory mechanisms may exist.

Similar to many cis‐encoded (Georg & Hess, 2011; Thomason & Storz, 2010) and some Hfq‐dependent sRNAs (Desnoyers & Massé, 2012; Fei et al, 2015; Salvail et al, 2013), RaiZ does not seem to require a protein to facilitate base pairing with its target in vitro (Fig 5). Nonetheless, it fails to confer full repression on hupA in the absence of ProQ because the latter appears to be required for formation of a ternary complex which more efficiently prevents 30S ribosome loading (Fig 7). In this aspect, ProQ differs from Hfq which, being unable to stably associate with structured RNAs, typically cycles off the duplex once it has formed (Hopkins et al, 2011). This mechanistic feature appears to be unique among bacterial global RNA binders and likely stems from the inherent preference of ProQ for highly structured RNA substrates (Smirnov et al, 2016).

What is the rationale of the ProQ‐dependent RaiZ regulation? We have previously demonstrated that ProQ interacts with and regulates several mRNAs for proteins involved in DNA‐related processes (Smirnov et al, 2016). Intriguingly, a few ProQ‐associated sRNAs have known or hypothetical roles in DNA pathways: IstR is induced in response to DNA damage (Vogel et al, 2004); art200 regulates IS200 transposition (Ellis et al, 2015); IsrB, IsrF, IsrJ, IsrK, and STnc1080 are prophage‐encoded sRNAs with likely roles in lysogeny maintenance (Barquist et al, 2013; Hershko‐Shalev et al, 2016; Padalon‐Brauch et al, 2008); STnc40 is a hypothetical mutT attenuator (Naville & Gautheret, 2010; Pfeiffer et al, 2007); and STnc540 and STnc620 overlap the 3′ UTRs of the himA and ssb mRNAs encoding the α‐subunit of the integration host factor and the single‐stranded DNA‐binding protein, respectively (Chao et al, 2012; Sittka et al, 2008). Of note, an E. coli proQ mutant has been predicted to be particularly sensitive to DNA‐damaging agents in global screens (Nichols et al, 2011; Skunca et al, 2013). In Legionella, the ProQ homologue RocC plays a critical role in controlling competence (Attaiech et al, 2016; Sexton & Vogel, 2004). Therefore, regulation of HU‐α, which is one of key DNA‐binding proteins in bacteria with functions analogous to those of histones in Eukarya (Grove, 2011), by RaiZ contributes to a potential DNA maintenance‐related ProQ regulon.

Interestingly, Salmonella RaiZ is produced in the stationary phase, upon oxygen limitation, oxidative stress, and under conditions inducing the Salmonella pathogenicity island 1 (SPI‐1) expression (Fig 1C) (Kröger et al, 2013). It is known that in enterobacteria hupA expression decreases during growth, whereas hupB levels increase, resulting in a shift in the cellular HU composition from α2 homodimers to αβ heterodimers (Claret & Rouviere‐Yaniv, 1997). The heterodimers are essential for maintaining E. coli viability in the stationary phase and cannot be functionally replaced by either homodimer (Claret & Rouviere‐Yaniv, 1997; Oberto et al, 2009). Of particular relevance to our work, in S. Typhimurium HU deletions disparately impact the three large virulence, stress response and general physiology regulons (Mangan et al, 2011). This suggests that selective downregulation of hupA expression upon transition to the stationary phase is important for the remodelling of bacterial metabolism via impacting α2 and αβ HU forms, and the ProQ‐dependent modulation of HU‐α level by RaiZ may help mount an adequate transcriptional response to environmental insults while preserving the integrity of the bacterial genome.

Although the physiological function of RaiZ awaits further characterization, the current study provides a valuable model system for the investigation of the molecular functions of ProQ in a common model organism to dissect this new domain of post‐transcriptional regulation in bacteria.

Bacterial strains and growth conditions

Detailed information on bacterial strains and their construction is listed in Appendix Table S1. Salmonella Typhimurium SL1344 was used throughout the study. Deletion mutants and chromosomally tagged derivatives were constructed as described (Datsenko & Wanner, 2000; Uzzau et al, 2001). All chromosomal modifications were transferred into a fresh Salmonella wild‐type background by phage P22 transduction, and the KmR cassette was removed as described (Datsenko & Wanner, 2000). Unless specified differently, strains were grown at 37°C in Luria–Bertani (LB) medium supplemented with ampicillin (100 μg/ml), kanamycin (50 μg/ml) or chloramphenicol (20 μg/ml) when necessary. For growth under SPI‐1‐inducing conditions, single colonies were inoculated in 5 ml of LB with 0.3 M NaCl in tightly screwed 15‐ml tubes and incubated for 12 h with vigorous shaking. Bacteria were grown at SPI‐2‐inducing conditions as described (Löber et al, 2006). Single colonies were inoculated in SPI‐2 medium (80 mM MES, 4 mM tricine, 100 μM FeCl3, 376 μM K2SO4, 50 mM NaCl, 1 mM K2HPO4/KH2PO4, 0.4% glucose, 15 mM NH4Cl, 1 mM MgSO4, 10 μM CaCl2, 10 nM Na2MoO4, 10 nM NaSeO4, 4 nM H3BO4, 300 nM CoCl2, 100 nM CuSO4, 800 nM MnCl2, 1 nM ZnSO4, pH 5.8) and grown overnight at 37°C with vigorous shaking. The overnight cultures were then diluted 50‐fold with the same medium and grown in the same way for 12 h until OD600 ~0.3.

Oligonucleotides and plasmids

Oligonucleotides used for strain construction, cloning, in vitro RNA transcription template generation and northern blot hybridizations are listed in Appendix Table S2. Plasmids used in this study are summarized in Appendix Table S3.

RNA extraction and northern blot analysis

Bacterial cultures were harvested and mixed with 0.2 volume RNA stop mix (5% acidic phenol in ethanol) and flash‐frozen with liquid nitrogen. Total RNA was extracted with the TRIzol reagent (Invitrogen), and 10 μg RNA was analysed by northern blotting. RNAs were detected by hybridization with the 5′‐labelled oligonucleotides, and autoradiographies were analysed by phosphorimager on a Typhoon FLA 7000 instrument with the help of the AIDA software (Raytest, Germany).

RNase E in vivo cleavage assay

Salmonella RNase E thermosensitive strain JVS‐07000 (rne‐3071 ts, see Appendix Table S1) and an isogenic control strain JVS‐06999 were grown overnight in LB medium at 37°C, then diluted 1:100 into fresh LB medium and further grown at 28°C to OD600 of 2. Then they were either immediately transferred into a 44°C water bath or left to grow at 28°C. At indicated time points, samples were collected and total RNA was isolated and analysed by northern blotting as described above.

RNA half‐life determination

Bacterial cultures were grown to an OD600 of 2. They were then treated with rifampicin (final concentration of 500 μg/ml) to abrogate transcription. RNA samples were collected at indicated time points and quantified by northern blot analysis, as described above. The experiments were performed in biological triplicates.

sRNA pulse expression and RNA‐seq

Cultures of WT strains carrying either a pBAD‐RaiZ plasmid or a control pBAD plasmid were grown to OD600 of 0.5, when L‐arabinose was added to a final concentration of 0.2%. RNA samples were collected at 0 and 10 min after induction, as described above. Total RNA was treated with DNase I (Fermentas), and cDNA library generation and sequencing were performed by Vertis Biotechnologie AG, Germany, as described (Sharma et al, 2010). The experiments were performed in biological duplicates.

Protein level analysis by Western blotting and FACS

Overnight bacterial cultures were diluted 1:100 into fresh LB medium. At indicated time points, 0.1 OD cultures were harvested by centrifugation at 10,000 g for 2 min and cell pellets were resuspended in 100 μl 1× protein loading buffer (Fermentas) and incubated at 95°C for 5 min. After denaturation, 0.02 OD samples were resolved by SDS–PAGE and Western blotting was performed as described (Papenfort et al, 2013). The following antibodies and antisera were used: α‐FLAG (Sigma, #F1804), α‐GroEL (Sigma, #G6532). Signals were visualized with the Western Lightning reagent (PerkinElmer) and an ImageQuant LAS 4000 CCD camera (GE Healthcare). All experiments were performed in at least two biological replicates.

Strains CWS128–CWS147 (Appendix Table S1) were used for semi‐quantitative GFP reporter plate assays. For this, 5 μl bacterial overnight cultures were plotted on LB agar plates by using 20 μl tips, dried at room temperature and incubated at 37°C for 12 h. Images were acquired by using the ImageQuant LAS 4000 CCD camera (GE Healthcare). For quantitative GFP FACS assay, 0.1 OD bacterial cells were harvested, washed twice with PBS and fixed with 4% paraformaldehyde. The GFP fluorescence intensity was quantified by flow cytometry with FACS Calibur (BD Bioscience). The experiments were performed in biological triplicates. Similar to what has been previously observed for other sRNAs such as DsrA, Spot42, RyhB, DapZ, OxyS, Yrl1 (Urban & Vogel, 2007; Chao et al, 2012; Hussein & Lim, 2011; Richter et al, 2010), GFP fluorescence in pXG‐1‐containing strains is higher when RaiZ is overexpressed, which is likely a nonspecific effect due to the saturation of cellular RNases resulting in the modest stabilization of mRNAs.

In vitro synthesis and labelling of RNA

Transcripts used for in vitro assays (EMSA, RNA structure probing, 30S ribosome toeprinting) were synthesized with MEGAscript High Yield Transcription Kit (AM1333, Ambion). DNA templates with T7 promoter sequences were generated by PCR with oligonucleotides listed in Appendix Table S2. RNA was isolated with phenol:chloroform:isopropanol (25:24:1), ethanol‐precipitated at −80°C and gel‐purified. For labelling, 20 pmol RNA was dephosphorylated with 10 units of calf intestine alkaline phosphatase (New England Biolabs) in a 20 μl reaction at 37°C for 1 h, followed by purification and precipitation, as above. The dephosphorylated RNA was 5′‐labelled with 3 μl of 32P‐γ‐ATP (10 Ci/l, 3,000 Ci/mmol) and 1 unit of polynucleotide kinase (Fermentas) for 1 h at 37°C in a 20 μl reaction. Unincorporated nucleotides were removed with Microspin G‐50 Columns (GE Healthcare), followed by purification of the labelled RNA on a denaturing polyacrylamide gel. Upon visualization of the labelled RNA with phosphorimager, the RNA band was excised from the gel and eluted with 0.1 M sodium acetate, 0.1% SDS, 10 mM EDTA at 4°C overnight, followed by phenol extraction and precipitation as before. Final concentrations were checked by NanoDrop 2000.

Protein purification and electrophoretic mobility shifts assays

Salmonella Hfq and ProQ purification and EMSA were performed as described (Smirnov et al, 2016) with minor modifications. Briefly, native Salmonella Hfq and ProQ proteins were obtained by intein‐based expression and purification (IMPACT). For EMSA, 5 nM of labelled RNA was used. Both labelled and unlabelled RNA were denatured at 95°C for 1 min and slowly cooled down to room temperature, then mixed together and/or with purified Hfq or ProQ protein in a final volume of 20 μl of 25 mM Tris–HCl, pH7.5, 150 mM KCl, 1 mM MgCl2, and incubated at 25°C for 20 min. Reactions were resolved at 4°C on native 6–8% polyacrylamide (19:1) gels (in 0.5× TBE) at constant current of 50 mA for 3 h. Gels were dried and signals were analysed by phosphorimager as described above.

RNA structure probing and footprinting assays

Structure probing and mapping of ProQ‐binding regions were performed on in vitro‐synthesized 5′‐labelled RNA. Briefly, 0.2 pmol labelled RNA (in 5 μl) was denatured at 95°C for 1 min and chilled on ice for 5 min, followed by addition of 1 μl of 1 mg/ml yeast RNA (Ambion AM7118) and 1 μl of 10× structure buffer (0.1 M Tris–HCl, pH 7, 1 M KCl, 0.1 M MgCl2). Unlabelled partner RNA or purified ProQ protein were then added at various ratios and incubated at 37°C for 10 min. Then, samples were either treated with 0.1 U RNase T1 (Ambion) for 3 min, or with 5 mM lead (II) acetate (Fluka) for 1.5 min, or with 1.3 U RNase III (New England Biolabs) for 6 min, or with 0.02 U RNase V1 (Ambion) for 5 min, or left untreated. Reactions were stopped by addition of 12 μl denaturing loading buffer (95% formamide, 18 mM EDTA, 0.025% SDS, 0.025% xylene cyanol, 0.025% bromophenol blue). RNase T1 sequencing ladders were prepared by using 0.4 pmol 5′‐labelled RNA denatured at 95°C for 2 min in the presence of 1× structure buffer and chilled on ice; RNA was digested with 0.1 U RNase T1 for 5 min at 37°C. Alkaline (OH) sequencing ladders were prepared by incubating 0.4 pmol 5′‐labelled RNA at 95°C for 5 min in the presence of alkaline hydrolysis buffer (Ambion). Reactions were stopped by addition of 12 μl denaturing loading buffer. Samples were denatured prior to loading (95°C, 3 min) and separated on denaturing 6% sequencing gels containing 7 M urea in 1× TBE at constant power of 40 W. Gels were dried and signals were analysed by phosphorimager with the help of the AIDA software (Raytest, Germany), as described above.

30S ribosome toeprinting analysis

30S ribosome toeprinting assays were performed as described (Sharma et al, 2007) with few modifications. Briefly, 0.2 pmol of unlabelled hupA 5′ UTR‐gfp fragment and 0.5 pmol of 5′‐labelled JVO‐01976 primer, complementary to the gfp fragment, were annealed together in annealing buffer (10 mM Tris acetate, pH 7.6, 1 mM DTT, 100 mM potassium acetate) for 1 min at 95°C and chilled for 5 min on ice. Then, magnesium acetate and NTPs were added to final concentrations of 10 and 0.5 mM, respectively. For inhibition analyses, 1 or 2 pmol of RaiZ‐S was added. ProQ was added to a final concentration of 500 nM. All subsequent steps were carried out at 37°C. After 5 min of incubation, 2 pmol of 30S ribosomal subunits (gift from Dr. Knud Nierhaus, Max Planck Institute for Molecular Genetics, Berlin, Germany), pre‐activated for 20 min, was added. After incubation for 5 min, uncharged tRNAfMet was added to a final concentration of 1 μM, and incubation continued for 15 min. Reverse transcription was carried out with 100 U SuperScript II (Invitrogen) for 20 min. cDNA synthesis was terminated with 100 μl of stop buffer (50 mM Tris–HCl, pH 7.5, 0.1% SDS, 10 mM EDTA), followed by phenol–chloroform extraction. Aqueous phases were added 5 μl of 3 M potassium hydroxide and incubated at 90°C for 5 min. After ethanol precipitation, cDNA was dissolved in 10 μl of loading buffer II (ThermoFisher Scientific). Sequencing ladders were generated with DNA Cycle Sequencing Kit (Jena Bioscience) according to the manufacturer's protocol on the same DNA template as used for T7 transcription and the same labelled primer as in the toeprinting reactions. cDNAs and sequence ladders were separated on a 6% polyacrylamide/7 M urea gel. Autoradiographs of dried gels were obtained as described above.

Statistical tests

Sample size considerations and applicability of the t‐test were verified following general guidelines described in Motulsky (2014). Conformity with a normal distribution was tested with the Anderson–Darling normality test, and t‐test was performed with GraphPad QuickCalcs (www.graphpad.com/quickcalcs/).

Author contributions

AS and JV conceived the project, AS and CW designed experiments, CW, LLD and AS performed experiments, AS and JV wrote the paper, and all authors edited the manuscript.

Conflict of interest

The authors declare that they have no conflict of interest.

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    Nichols RJ, Sen S, Choo YJ, Beltrao P, Zietek M, Chaba R, Lee S, Kazmierczak KM, Lee KJ, Wong A, Shales M, Lovett S, Winkler ME, Krogan NJ, Typas A, Gross CA (2011 ) Phenotypic landscape of a bacterial cell. Cell 144: 143–156

    Not in our library10.1016/j.cell.2010.11.052

  70. 70.
  71. 71.

    van der Oost J, Westra ER, Jackson RN, Wiedenheft B (2014 ) Unravelling the structural and mechanistic basis of CRISPR‐Cas systems. Nat Rev Microbiol 12: 479–492

    Not in our library10.1038/nrmicro3279

  72. 72.

    Padalon‐Brauch G, Hershberg R, Elgrably‐Weiss M, Baruch K, Rosenshine I, Margalit H, Altuvia S (2008 ) Small RNAs encoded within genetic islands of Salmonella Typhimurium show host‐induced expression and role in virulence. Nucleic Acids Res 36: 1913–1927

    Not in our library10.1093/nar/gkn050

  73. 73.
  74. 74.

    Papenfort K, Said N, Welsink T, Lucchini S, Hinton JC, Vogel J (2009 ) Specific and pleiotropic patterns of mRNA regulation by ArcZ, a conserved, Hfq‐dependent small RNA. Mol Microbiol 74: 139–158

    Not in our library10.1111/j.1365-2958.2009.06857.x

  75. 75.

    Papenfort K, Sun Y, Miyakoshi M, Vanderpool CK, Vogel J (2013 ) Small RNA‐mediated activation of sugar phosphatase mRNA regulates glucose homeostasis. Cell 153: 426–437

    Not in our library10.1016/j.cell.2013.03.003

  76. 76.

    Papenfort K, Forstner KU, Cong JP, Sharma CM, Bassler BL (2015a ) Differential RNA‐seq of Vibrio cholerae identifies the VqmR small RNA as a regulator of biofilm formation. Proc Natl Acad Sci USA 112: E766–E775

    Not in our library10.1073/pnas.1500203112

  77. 77.

    Papenfort K, Espinosa E, Casadesus J, Vogel J (2015b ) Small RNA‐based feedforward loop with AND‐gate logic regulates extrachromosomal DNA transfer in Salmonella. Proc Natl Acad Sci USA 112: E4772–E4781

    Not in our library10.1073/pnas.1507825112

  78. 78.

    Pfeiffer V, Sittka A, Tomer R, Tedin K, Brinkmann V, Vogel J (2007 ) A small non‐coding RNA of the invasion gene island (SPI‐1) represses outer membrane protein synthesis from the Salmonella core genome. Mol Microbiol 66: 1174–1191

    Not in our library10.1111/j.1365-2958.2007.05991.x

  79. 79.

    Pfeiffer V, Papenfort K, Lucchini S, Hinton JC, Vogel J (2009 ) Coding sequence targeting by MicC RNA reveals bacterial mRNA silencing downstream of translational initiation. Nat Struct Mol Biol 16: 840–846

    Not in our library10.1038/nsmb.1631

  80. 80.

    Plumbridge JA, Dondon J, Nakamura Y, Grunberg‐Manago M (1985 ) Effect of NusA protein on expression of the nusA, infB operon in E. coli. Nucleic Acids Res 13: 3371–3388

    Not in our library10.1093/nar/13.9.3371

  81. 81.

    Richter AS, Schleberger C, Backofen R, Steglich C (2010 ) Seed‐based INTARNA prediction combined with GFP‐reporter system identifies mRNA targets of the small RNA Yfr1. Bioinformatics 26: 1–5

    Not in our library10.1093/bioinformatics/btp609

  82. 82.

    Romilly C, Caldelari I, Parmentier D, Lioliou E, Romby P, Fechter P (2012 ) Current knowledge on regulatory RNAs and their machineries in Staphylococcus aureus. RNA Biol 9: 402–413

    Not in our library10.4161/rna.20103

  83. 83.

    Salvail H, Caron MP, Belanger J, Massé E (2013 ) Antagonistic functions between the RNA chaperone Hfq and an sRNA regulate sensitivity to the antibiotic colicin. EMBO J 32: 2764–2778

    Not in our library10.1038/emboj.2013.205

  84. 84.

    Sauer E, Weichenrieder O (2011 ) Structural basis for RNA 3′‐end recognition by Hfq. Proc Natl Acad Sci USA 108: 13065–13070

    Not in our library10.1073/pnas.1103420108

  85. 85.

    Schu DJ, Zhang A, Gottesman S, Storz G (2015 ) Alternative Hfq‐sRNA interaction modes dictate alternative mRNA recognition. EMBO J 34: 2557–2573

    Not in our library10.15252/embj.201591569

  86. 86.

    Sexton JA, Vogel JP (2004 ) Regulation of hypercompetence in Legionella pneumophila. J Bacteriol 186: 3814–3825

    Not in our library10.1128/jb.186.12.3814-3825.2004

  87. 87.

    Sharma CM, Darfeuille F, Plantinga TH, Vogel J (2007 ) A small RNA regulates multiple ABC transporter mRNAs by targeting C/A‐rich elements inside and upstream of ribosome‐binding sites. Genes Dev 21: 2804–2817

    Not in our library10.1101/gad.447207

  88. 88.

    Sharma CM, Hoffmann S, Darfeuille F, Reignier J, Findeiss S, Sittka A, Chabas S, Reiche K, Hackermuller J, Reinhardt R, Stadler PF, Vogel J (2010 ) The primary transcriptome of the major human pathogen Helicobacter pylori. Nature 464: 250–255

    Not in our library10.1038/nature08756

  89. 89.

    Sharma CM, Papenfort K, Pernitzsch SR, Mollenkopf HJ, Hinton JC, Vogel J (2011 ) Pervasive post‐transcriptional control of genes involved in amino acid metabolism by the Hfq‐dependent GcvB small RNA. Mol Microbiol 81: 1144–1165

    Not in our library10.1111/j.1365-2958.2011.07751.x

  90. 90.

    Sharma CM, Vogel J (2009 ) Experimental approaches for the discovery and characterization of regulatory small RNA. Curr Opin Microbiol 12: 536–546

    Not in our library10.1016/j.mib.2009.07.006

  91. 91.

    Silva IJ, Ortega AD, Viegas SC, Garcia‐Del Portillo F, Arraiano CM (2013 ) An RpoS‐dependent sRNA regulates the expression of a chaperone involved in protein folding. RNA 19: 1253–1265

    Not in our library10.1261/rna.039537.113

  92. 92.
  93. 93.

    Skunca N, Bosnjak M, Krisko A, Panov P, Dzeroski S, Smuc T, Supek F (2013 ) Phyletic profiling with cliques of orthologs is enhanced by signatures of paralogy relationships. PLoS Comput Biol 9: e1002852

    Not in our library10.1371/journal.pcbi.1002852

  94. 94.

    Smirnov A, Forstner KU, Holmqvist E, Otto A, Gunster R, Becher D, Reinhardt R, Vogel J (2016 ) Grad‐seq guides the discovery of ProQ as a major small RNA‐binding protein. Proc Natl Acad Sci USA 113: 11591–11596

    Not in our library10.1073/pnas.1609981113

  95. 95.

    Sobrero P, Valverde C (2012 ) The bacterial protein Hfq: much more than a mere RNA‐binding factor. Crit Rev Microbiol 38: 276–299

    Not in our library10.3109/1040841x.2012.664540

  96. 96.

    Sonnleitner E, Sorger‐Domenigg T, Madej MJ, Findeiss S, Hackermüller J, Hüttenhofer A, Stadler PF, Bläsi U, Moll I (2008 ) Detection of small RNAs in Pseudomonas aeruginosa by RNomics and structure‐based bioinformatic tools. Microbiology 154: 3175–3187

    Not in our library10.1099/mic.0.2008/019703-0

  97. 97.

    Soper T, Mandin P, Majdalani N, Gottesman S, Woodson SA (2010 ) Positive regulation by small RNAs and the role of Hfq. Proc Natl Acad Sci USA 107: 9602–9607

    Not in our library10.1073/pnas.1004435107

  98. 98.

    Thomason MK, Storz G (2010 ) Bacterial antisense RNAs: how many are there, and what are they doing? Annu Rev Genet 44: 167–188

    Not in our library10.1146/annurev-genet-102209-163523

  99. 99.
  100. 100.

    Udekwu KI, Wagner EG (2007 ) Sigma E controls biogenesis of the antisense RNA MicA. Nucleic Acids Res 35: 1279–1288

    Not in our library10.1093/nar/gkl1154

  101. 101.

    Updegrove TB, Shabalina SA, Storz G (2015 ) How do base‐pairing small RNAs evolve? FEMS Microbiol Rev 39: 379–391

    Not in our library10.1093/femsre/fuv014

  102. 102.

    Updegrove TB, Zhang A, Storz G (2016 ) Hfq: the flexible RNA matchmaker. Curr Opin Microbiol 30: 133–138

    Not in our library10.1016/j.mib.2016.02.003

  103. 103.

    Urban JH, Vogel J (2007 ) Translational control and target recognition by Escherichia coli small RNAs in vivo. Nucleic Acids Res 35: 1018–1037

    Not in our library10.1093/nar/gkl1040

  104. 104.

    Uzzau S, Figueroa‐Bossi N, Rubino S, Bossi L (2001 ) Epitope tagging of chromosomal genes in Salmonella. Proc Natl Acad Sci USA 98: 15264–15269

    Not in our library10.1073/pnas.261348198

  105. 105.

    Vogel J, Argaman L, Wagner EG, Altuvia S (2004 ) The small RNA IstR inhibits synthesis of an SOS‐induced toxic peptide. Curr Biol 14: 2271–2276

    Not in our library10.1016/j.cub.2004.12.003

  106. 106.

    Vogel J, Luisi BF (2011 ) Hfq and its constellation of RNA. Nat Rev Microbiol 9: 578–589

    Not in our library10.1038/nrmicro2615

  107. 107.

    Wagner EG, Romby P (2015 ) Small RNAs in bacteria and archaea: who they are, what they do, and how they do it. Adv Genet 90: 133–208

    Not in our library10.1016/bs.adgen.2015.05.001

  108. 108.

    Wassarman KM, Storz G (2000 ) 6S RNA regulates E. coli RNA polymerase activity. Cell 101: 613–623

    Not in our library10.1016/s0092-8674(00)80873-9

  109. 109.
  110. 110.

    Westermann AJ, Forstner KU, Amman F, Barquist L, Chao Y, Schulte LN, Muller L, Reinhardt R, Stadler PF, Vogel J (2016 ) Dual RNA‐seq unveils noncoding RNA functions in host‐pathogen interactions. Nature 529: 496–501

    Not in our library10.1038/nature16547

  111. 111.

    Zhang A, Wassarman KM, Ortega J, Steven AC, Storz G (2002 ) The Sm‐like Hfq protein increases OxyS RNA interaction with target mRNAs. Mol Cell 9: 11–22

    Not in our library10.1016/s1097-2765(01)00437-3

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