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. Author manuscript; available in PMC: 2018 Oct 19.
Published in final edited form as: Mol Cell. 2017 Sep 21;68(2):361–373.e5. doi: 10.1016/j.molcel.2017.08.019

Ribosome collision is critical for quality control during no-go decay

Carrie L Simms 1, Liewei L Yan 1, Hani S Zaher 1,*,1
PMCID: PMC5659757  NIHMSID: NIHMS902211  PMID: 28943311

SUMMARY

No-go decay (NGD) is a eukaryotic quality control mechanism that evolved to cope with translational arrests. The process is characterized by an endonucleolytic cleavage near the stall sequence, but the mechanistic details are unclear. Our analysis of cleavage sites indicates that cleavage requires multiple ribosomes on the mRNA. We also show that reporters harboring stall sequences near the initiation codon, which cannot accommodate multiple ribosomes, are not subject to NGD. Consistent with our model, we uncover an inverse correlation between ribosome density per mRNA and cleavage efficiency. Furthermore, promoting global ribosome collision in vivo resulted in ubiquitination of ribosomal proteins suggesting that collision is sensed by the cell to initiate downstream quality control processes. Collectively our data suggests that NGD and subsequent quality control are triggered by ribosome collision. This model provides insight into the regulation of quality control processes and the manner by which they reduce off target effects.

Keywords: ribosome, no-go decay, translation, stalling, ribosomal protein ubiquitination, quality control

Graphical abstract

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INTRODUCTION

During protein synthesis ribosomes face obstacles that impede their movement along the mRNA template (Brandman and Hegde, 2016; Simms et al., 2016). These obstacles include, but are not limited to, stable secondary structures, stretches of inhibitory and rare codons, poly lysine/arginine encoding mRNA and chemically damaged nucleotides (Doma and Parker, 2006; Letzring et al., 2010; Simms et al., 2014; Tsuboi et al., 2012). These events of ribosomal arrest, unless resolved, are detrimental to cellular homeostasis as they diminish the cellular concentration of available ribosomes for translation. In eukaryotes, the mRNA-surveillance process of no-go decay (NGD) evolved to degrade these defective mRNAs (Doma and Parker, 2006). The process is characterized by an endonucleolytic cleavage; the resulting 5′ and 3′ fragments are rapidly degraded by the cytoplasmic exosome and XRN1, respectively. Although the identity of the endonuclease remains elusive, the ribosome appears to play a major role in specifying the NGD targets as the initial cleavage reaction is dependent on translation (Doma and Parker, 2006; Tsuboi et al., 2012). Furthermore, the process is intimately coupled to ribosome rescue and degradation of the short protein products through a ribosome-associated complex (RQC) (Bengtson and Joazeiro, 2010; Brandman et al., 2012; Shoemaker et al., 2010).

Ribosome rescue through disassembly of the two subunits is carried out by a ternary complex of Dom34 (Pelota in mammals), Hbs1 and GTP (Pisareva et al., 2011; Shoemaker et al., 2010; Shoemaker and Green, 2011). Dom34 and Hbs1 are homologs of the eukaryotic release factors eRF1 and eRF3, respectively (Chen et al., 2010; Graille et al., 2008; Lee et al., 2007). However, Dom34 lacks the catalytically important GGQ motif required for peptide hydrolysis as well as the NIKS motif required for stop-codon recognition. As a result, in contrast to eRF1:eRF3-mediated recycling, Dom34:Hbs1-mediated recycling results in a peptidyl-tRNA-bound 60S subunit (Shoemaker et al., 2010). Recent studies have shown that this atypical form of the 60S subunit is recognized by the RQC (Chiabudini et al., 2012; Defenouillere et al., 2013; Shao et al., 2015; Shao and Hegde, 2014; Shao et al., 2013; Shen et al., 2015; Verma et al., 2013). The complex mediates the ubiquitination, extraction and rapid degradation of the incomplete nascent peptide. In addition to ubiquitination of the nascent peptide, regulatory ubiquitination of ribosomal proteins appears to take place on stalling ribosomes. In humans the E3 ligase ZNF598 ubiquitinates several ribosomal proteins both in vitro and in vivo, and in the absence of the factor, stalling on polyA sequences is significantly alleviated (Juszkiewicz and Hegde, 2017; Sundaramoorthy et al., 2017). In yeast the equivalent E3 ligase HEL2 was shown to be important for stalling (Letzring et al., 2013; Saito et al., 2015). Recent studies using ribosomal profiling have, however, argued that HEL2 is not required for stalling but instead in its absence mRNA reporters are stabilized (Sitron et al., 2017). Here, nonetheless, deletion of HEL2 results in increased ribosome occupancy (> twofold) beyond the stall site. Therefore, emerging from all of these studies is a potentially critical role for ribosomal protein ubiquitination in initiating quality control on stalled ribosomes.

Arguably much of the emphasis on NGD to date has focused on the identification and characterization of trans factors that communicate with the ribosome during the process, namely those that are required to initiate ribosome rescue and nascent-peptide degradation. Interestingly, comparable studies on the role of the ribosome itself and especially its functional part in recognizing NGD targets are sparse. Importantly, we do not have a clear mechanistic understanding of the signals responsible for initiating the endonucleolytic cleavage. Additionally it is unclear how the ribosome and the NGD machinery distinguish between defective mRNAs and those that for instance intentionally stall translation to allow for proper protein localization. Discriminating between programmed pauses/stalls and those that are unwanted is paramount for cellular homeostasis.

In this study we carried out a detailed characterization of the nature of the endonucleolytic reaction using reporters in yeast. In an effort to gain mechanistic insights into the endonuclease specificity, we mapped the 5′ fragments for a number of stalling reporters in the absence of SKI2. In agreement with earlier reports (Chen et al., 2010; Doma and Parker, 2006; Tsuboi et al., 2012), the 5′-fragment maps upstream of the stall. However, we were surprised to observe that the majority of the sequence reads mapped well upstream of the stall site. These observations suggest that multiple ribosomes are required to load on the mRNA for efficient NGD. Consistent with these ideas, NGD-induced cleavage was not observed unless the stall site was greater than 105 nt downstream of the start codon. Furthermore, mutations and reporters that result in a low ribosome density on mRNA significantly reduce NGD efficiency. Finally, by genetically manipulating yeast to have a mixed population of cycloheximide-resistant and -sensitive ribosomes, we globally induced ribosomal collision through the addition of the antibiotic. Interestingly only under these circumstances do we observe robust ubiquitination of ribosomal protein RPS3 in a HEL2-dependent manner. These observations suggest that similar to the cleavage reaction ribosome ubiquitination is associated with collision events and provides a mechanism by which HEL2 recognizes its substrate ribosomes. Collectively our data suggests that the trigger for quality control following stalling is ribosomes colliding with each other.

RESULTS

NGD results in multiple endonucleolytic cleavages that map well upstream of the stall site

A collection of reporters has been utilized by a number of groups to study NGD in Saccharomyces cerevisiae by presenting a genetically-encoded translational block. We elected to use a PGK1 reporter, initially engineered by Parker and colleagues, which expresses a stable stem loop (SL) known to inhibit ribosome movement along the mRNA (Doma and Parker, 2006). We also constructed two additional reporters, which contain a stretch of the inhibitory codons CGA (PGK1-CGA12) encoding poly-Arg or AAA sequence (PGK1-AAA12) encoding poly-Lys; both of these sequences have been well documented to inhibit translation and elicit NGD (Doma and Parker, 2006; Kuroha et al., 2010; Letzring et al., 2010; Lu and Deutsch, 2008; Tsuboi et al., 2012). As a negative control, we constructed a reporter with a polyU stretch (PGK1-UUU12) encoding poly-Phe instead. As has been seen previously, all of the reporters that present a block to the ribosome were found to produce shorter mRNA products in a ski2Δ background; these strains are defective for 3′–5′ exonuclease activity by the cytoplasmic exosome (Anderson and Parker, 1998). Also consistent with earlier reports, these products ran as smears on the gel suggesting that they are heterogeneous in nature (Figure 1A). In the absence of XRN1 (Stevens, 1980), 3′-PGK1 fragments accumulated in the presence of the stalling reporters (PGK1-SL, PGK1-CGA12 and PGK1-AAA12) (Figure 1B). Similar to the 5′ intermediates, the 3′ intermediates ran as heterogeneous products on the gel.

Figure 1. NGD reporters produce heterogeneous 5′ and 3′ fragments. See also Figure S1.

Figure 1

(A) Northern analysis of 5′ fragments accumulation from the indicated PGK1 mRNA reporters in wild-type and ski2Δ strains. PGK1 indicates no additional sequence was added to the PGK1 ORF. SL indicates a stem loop was inserted at position 1040 of the ORF; (CGA)12, (AAA)12 and (UUU)12 indicate the corresponding codons were inserted at position 950 of the ORF. (B) Northern analysis of 3′ fragments accumulation in wild-type and xrn1Δ strains. The fragments were labeled as per (Chen et al., 2010). Note that the asterisk depicts an endogenous endonucleolytic cleavage specific for the PGK1 sequence. (C–F) Mapping sites of mRNA cleavage in cells expressing stalling reporters. The 5′ ends of 3′ fragments from xrn1Δ cells were mapped relative to the stall site (C) (data from Chen et al. 2010). (D–F) The 3′ ends of 5′ mRNA cleavage products from ski2Δ cells expressing the indicated reporter were mapped relative to the stall site. Data is binned to 25 nt increments.

Although noted earlier by others (Chen et al., 2010; Doma and Parker, 2006; Tsuboi et al., 2012), we were surprised by the extent of the smear length (> 500 nt) (Figure 1A). These observations suggested to us three different scenarios: 1) The cleavage reaction is inefficient relative to the elongation rate of the ribosome so that by the time cleavage initiates multiple ribosomes had protected the mRNA; 2) The endonuclease requires multiple stacked ribosomes for efficient cleavage; 3) Rescue of ribosomes behind the primary ribosome is relatively inefficient resulting in secondary stalls that trigger more NGD cleavages.

To explore these different scenarios, we sought to map cleavage sites for the reporters using RACE assays. Previous studies focused on mapping the 3′-fragments in the xrn1Δ background. In Figure 1C we used the data reported by the Parker and Song groups (Chen et al., 2010) to plot the number of reads from the (CGA)4 reporter as a function of their relative position from the stall site. Consistent with the northern analysis, the 3′-fragments mapped to a broad region of the reporter (~0–250 nt upstream of the stall site). In these experiments cDNA was prepared by ligating an RNA oligo at the 5′ end of the mRNA and reverse transcribing using a primer that anneals downstream of the stall sequence (Chen et al., 2010). As a result, secondary cleavage reactions resulting from inefficient rescue are lost during this step since they do not possess the complementary sequence for the RT primer, thus excluding the third scenario.

The corresponding 5′ fragments have not been mapped to single-nucleotide resolution and are likely to provide further hints about the endonucleolytic reaction. We mapped these fragments by first ligating an adenylated DNA oligo to the 3′ end. Following first-strand synthesis with a primer complementary to the ligated oligo, the cDNA was amplified from the start of the PGK1 gene (eg. Figure S1A). Alignment of the resulting reads revealed some interesting clues about the cleavage reaction. In contrast to the 3′ fragments, for which most clustered within 200 nt of the stall site, the 5′ fragments mapped to a broader region upstream of the stall site (Figure 1D) suggesting that the 5′ fragments are subject to multiple cleavage reactions, presumably due to inefficient recycling by Dom34 and Hbs1. In agreement with this proposal, inhibition of ribosome rescue by deleting DOM34 leads to even more dramatic heterogeneity of the 5′-fragments (Figure S1B) (Ikeuchi and Inada, 2016).

Mapping of the 5′-fragments for the SL and (AAA)12 reporters was largely consistent with that for the (CGA)12 reporter. However, unlike the (CGA)12 reporter, for which the reads were uniformly distributed across a broad region upstream of the stall site, the reads for the SL and (AAA)12 reporters are clustered either 100–175 nt upstream of the stall (Figure 1E) or close to the stall site (Figure 1F). These findings suggest that the endonucleolytic reaction is to a certain extent dependent on the nature of stall. Some of these distinctions are likely to be rationalized by differences in the precise location of where the ribosome stalls as well as the makeup of the polyA sequence, especially given its slippery nature (Koutmou et al., 2015). These distinctions between AAA- and CGA-mediated stalling are likely to be the result of subtle differences between bona-fide-no-go decay and non-stop decay (NSD) (Frischmeyer et al., 2002; van Hoof et al., 2002).

Cleavage appears to takes place between stacked ribosomes

To gain further insight into the nature of the cleavage reaction, we decided to carry out high-throughput sequencing to map the 5′-fragments from the NGD reporters in the ski2Δ background. Overall, three main characteristics of the cleavage reaction are readily discernable from our analysis. First, very few cleavage products map downstream of the stall site. We mapped more than 7 × 106 reads to the (CGA)12 reporter with greater than 99.7% mapping upstream of the stall site (Figure 2A). The first major peak of reads mapped at about −43-nt (likely behind the secondary stalled ribosome). Second, we observe a predominant peak at 75 – 150 nt upstream, depending on the identity of the stall sequence (Figure 2B, S2). Third, and arguably most interesting, is the observation that cleavage takes place significantly in frame (Figure 2C, S2). This latter observation is similar to what has been observed recently using ribosomal profiling (Guydosh and Green, 2017) and suggests that the endonuclease is using the ribosome as a ruler. Consistent with this proposal, smoothing of the (CGA)12 mapping data revealed a regular oscillation of read peaks with a median period of 29-nt (Figure 2B, 2D) and a tight distribution (standard deviation of 2.5-nt). The 29-nt periodicity has important ramifications for the nature of the endonuclease as it suggests that the cleavage reaction takes place among stacked ribosomes. This observation argues against the potential proposal that the heterogeneity of the cleavage products is the result of secondary cleavage reactions as this would result in a 15-nt periodicity instead; during secondary cleavage reactions ribosomes are expected to run to the end of the message and hence protect only one half the length of an 80S footprint.

Figure 2. Large scale sequencing reveals strong periodicity of cleavage sites. See also Figure S2.

Figure 2

(A) Plot of sequencing reads of 3′RACE products from ski2Δ cells expressing a (CGA)12 reporter. Each point represents one read, mapped relative to the stall site. Inset shows a wider view of the mapped data. (B) Plot of smoothed data from (A) reveals a strong periodicity in the location of cleavage sites. Data was smoothed by using a 5-point quadratic polynomial. Peaks were assigned by taking the derivative of the smoothed data and finding the + to − inflection point. (C) Graph depicting the number of reads as mapped to the translation frame of the reporter. (D) Plot of the distance between peaks in (B).

For the SL and (AAA)12 reporters, we were able to map ~5 × 106 and ~ 4 × 106 reads to their corresponding sequence, respectively (Figure S2). Interpretation of the mapping results, however, was not as straightforward as for the CGA reporter, presumably due to imprecise stalling on these sequences (Figure S2). This can be rationalized in light of earlier reports showing that tandem CGA sequences present harder stalls relative to other motifs in yeast (Chen et al., 2010). Notwithstanding, we also document a similar correlation between the cleavage reaction and frame to that observed for the CGA reporter. Collectively our analysis suggests that cleavage on NGD substrates is intimately coupled to the translational machinery and that the endonuclease may sense stacked ribosomes to initiate its reaction.

Multiple stacked ribosomes are required for robust NGD

Perhaps one of the most important findings to come out of our sequencing efforts is the observation that the primary cleavage is likely to take place well upstream of the stall site. This is especially true for the SL reporter, for which the cleavage sites appear to cluster to regions >100 nt from the stall (Figure S2A). These results are in agreement with a model whereby multiple stacked ribosomes are required to activate the endonuclease. To empirically provide support for this proposal we constructed new PGK1 reporters that place the SL sequence at distances close to the start codon, which allowed us to control a maximum number of ribosomes that can load onto the reporter (Figure 3A). In particular we positioned the SL at 10, 22, 48, 60, 105, 135, 175, 200 and 1040 nts from the AUG

Figure 3. Endonucleolytic cleavage is not efficient on ribosomes that stall within 175 nt of the start codon. See also Figure S3.

Figure 3

(A) Northern analysis of 5′ fragment accumulation in ski2Δ cells expressing a reporter with the SL located at the indicated positions (relative to the start codon), performed on formaldehyde-agarose (top) or denaturing PAGE (bottom). 5′ cleavage products are indicated by arrowheads. (B) Northern blot of RNA from xrn1Δ cells expressing the same set of reporters as in (A) performed on formaldehyde-agarose. 3′ cleavage products are indicated by arrowheads. (C) Polysome profile, ethidium bromide-stained agarose gel, and northern blot from ski2Δ cells expressing the indicated SL reporter. The band corresponding to endogenous PGK1 is labeled PGK1 end. Blots in all panels were probed with an oligo complementary to the 5′UTR immediately upstream of the AUG.

In agreement with our sequencing results, we only observe robust cleavage on reporters having the SL at sites that are >135 nt from the start codon as evidenced by the accumulation of the 5′-fragments in the ski2Δ background (Figure 3A). Although we can detect minimal cleavage products in the SL10 through SL105 reporters, cleavage was more evident in the SL135 reporter and was much stronger in the SL175 reporter. To rule out the possibility that the absence of cleavage products in the reporters with SL close to the start codon is due to probing issues or due to possible trimming by an unknown exonuclease, we looked at the accumulation of the 3′-fragments in the xrn1Δ background. Similar to what we observe for the 5′-fragments, robust accumulation of the 3′-fragments was only detected for reporters expressing the SL at sites that are >105 nt from the AUG codon (Figure 3B). The effect of its position within the ORF on cleavage efficiency was not dependent on the identity of the stall. Indeed similar to the SL stall, cleavage efficiency was significantly reduced for the CGA and AAA stalls when they were placed <105 nucleotides from the initiation codon (Figure S3).

As NGD is fully dependent on translation (Doma and Parker, 2006), we next sought to verify that reporters that are not subject to NGD are capable of associating with the ribosome. We carried out polysome analysis on the SL60, SL135, SL175 and SL1040 mRNA reporters to assess their distribution across the different ribosomal fractions. As expected the SL60 mRNA was found to associate with monosomes and disomes, whereas the SL135 was found to associate with trisomes and tetrasomes. The SL175 and SL1040 mRNAs, including their stabilized 5′-fragments due to the ski2Δ background, could be detected in the heavier fractions of the polysomes (Figure 3C). We note that the endogenous PGK1 mRNA, which migrates faster and can be detected with our probes, was found to associate with the heavy fractions in all of our samples offering an internal control. These observations suggest that although the SL60 reporter harbors a roadblock for translation and associates with ribosomes, it is not a good target of NGD. Collectively, our data argues that robust endonucleolytic initiation of NGD requires multiple ribosomes to load onto the mRNA target.

Reduction of ribosome density inhibits NGD

Although our data so far suggest that ribosome collision is key for initiating NGD, the mechanism by which this signal is communicated to the endonuclease is unclear. The L1 stalk of the ribosome, which protrudes away from the ribosome facing the mRNA exit channel, is an obvious candidate for sensing collision events. Structures of polysomes from human cells revealed a likely interaction between the ribosome and the small subunit of the upstream neighboring ribosome near the mRNA entry tunnel (Brandt et al., 2010). Furthermore, recent studies from the Grayhack group showed that deletion of RPL1B, one of two genes that encodes ribosomal protein L1 and is more highly expressed than its paralog RPL1A, allows for read through of inhibitory CGA codons suggesting that it may play a role in NGD (Letzring et al., 2013). However, an alternative possibility is that deletion of RPL1B is affecting overall ribosome homeostasis, by reducing the levels of available 60S subunits. Indeed studies from multiple groups have documented a profound relationship between ribosomal protein availability and ribosome assembly. In particular, deletion of ribosomal protein paralogues has been shown to result in defects in ribosome biogenesis (Ferreira-Cerca et al., 2005; Moritz et al., 1990; Mueller et al., 1998; Rudra et al., 2007).

Before exploring the effect of the RPL1B deletion on ribosome homeostasis we sought to assess its effect on the endonucleolytic reaction. Consistent with its effect on readthrough of inhibitory codons (Letzring et al., 2013), we observe a significant reduction in 5′-fragment accumulation from the PGK-SL reporter in the rpl1bΔski2Δ strain (Figure 4A). The disappearance of NGD intermediates can be rescued by reintroducing RPL1B on a plasmid suggesting that the effect is due to the loss of RPL1B. To evaluate whether the effect of RPL1B deletion is due to limiting levels of available ribosomes or altered ribosome composition, we isolated ribosomes from wild-type as well as rpl1bΔ cells and performed mass spectrometry to quantify the relative levels of the ribosomal proteins. We measured almost identical stoichiometries of the near complement of ribosomal proteins between the wild-type and the mutant strains (Figure 4B). In particular, in the rpl1bΔ strain, the level of RPL1 was found to be reduced by a modest 15% relative to its parent (Figure S4). This confirms that the effects of RPL1B deletion on NGD cannot be explained simply by altered ribosome composition and instead are likely due to changes in the cellular concentration of ribosomes. The polysome profile of rpl1bΔ provided support for this model; the profile exhibited a significant reduction of polysomes relative to the 80S monosome peak when compared to profiles from the wild type strain (Figure 4C). As expected, we observe a gradual increase in polysome levels in the wild type strain whereas in the rpl1bΔ strain an opposite steep and immediate drop in polysomes levels was noted, indicating that ribosome density on mRNAs is significantly reduced in the rpl1bΔ strain. This in turn could explain the effect of the deletion on NGD in a manner that is consistent with our collision-based model for triggering cleavage; ribosome density and hence “traffic” has a profound impact on the likelihood of ribosomes running into each other.

Figure 4. Deletion of RPL1B reduces mRNA cleavage efficiency by lowering ribosome density on mRNAs. See also Figure S4.

Figure 4

(A) Efficiency of mRNA cleavage is reduced in ski2Δ rpl1bΔ cells compared to ski2Δ cells expressing PGK1-SL. Cleavage activity is rescued by RPL1B expression from a plasmid (pAG426-rpl1b). Cleavage products were quantified relative to the PGK1 full-length reporter (top band on blot) and to SCR1 (bottom panel). % abundance compared to WT is shown. (B) Quantification of ribosomal protein content from ribosomes for rpl1bΔ versus wild type cells by mass spectrometry. Values are relative ion counts ± SD from three biological replicates. (C) Polysome profiles from wild type and rpl1bΔ cells. (D) Western blots of cell lysates from wild type and rpl1bΔ cells used to assess RPS9 levels. Quantification of RPS9 relative to PGK1 is shown in the lower panel. Value is mean ± SD from three biological replicates. Full blots are shown in Figure S3. (E) A phosphorimage of an SDS PAGE gel used to follow the incorporation of 35S-Met in nascent proteins in wild type and rpl1bΔ cells. Middle panel shows coomassie stained samples used to assess the steady state levels of proteins. Bottom panel is a western blot of PGK1. Radiolabeled proteins from two independent biological samples were quantified relative to the steady state levels of PGK1 and the resulting plot is shown to the right. (F) A dual luciferase reporter was used to assess readthrough on (CGA)4. Plot of normalized firefly luciferase relative to Renilla luciferase expression from a control reporter and one containing a (CGA)4 sequence in wild type and rpl1bΔ cells. (G) Western blot of cell lysates from WT and rpl1bΔ cells expressing the indicated PGK1 reporters. (H) Northern blot of RNA isolated from WT and rpl1bΔ cells expressing the indicated reporters. Cleavage products were quantified relative to the full PGK-stall reporter (top band) or to SCR1 (bottom panel). The band corresponding to endogenous PGK1 is labeled PGK1 end.

To provide further support for the effect of RPL1B deletion on ribosome homeostasis, we looked at the relative level of another ribosomal protein as a proxy for gauging the cellular levels of ribosomes. As predicted, the level of the small subunit ribosomal protein RPS9 is significantly reduced in the rpl1bΔ strain relative to wild-type cells (~30% reduction) as judged by western blotting (Figure 4D). This apparent reduction in ribosome concentration was corroborated by assessing the global rate of protein synthesis using 35S-methionine incorporation. The rate by which the radiolabel was incorporated into nascent proteins was observed to be ~fivefold slower in the rpl1bΔ strain relative to wild-type cells (Figure 4E). We note that, superficially, these deficiencies in translation can rationalize the observed inhibition of cleavage; after all NGD is a ribosome-based surveillance mechanism. However, this rationale falls short of explaining that in the absence of RPL1B we observe increased accumulation of full-length protein products from a number of NGD reporters. We utilized a reporter similar to the one used by Grayhack and colleagues (Letzring et al., 2013), for which a dual luciferase construct is interrupted with CGA codons between the renilla and firefly luciferase coding sequences. In the absence of RPL1B, the ratio of firefly- to renilla-dependent luminescence increased more than twofold (Figure 4F). Similar effects of the deletion were seen with the PGK1 constructs; both the SL and (AAA)12 reporters produced > twofold more protein in the rpl1bΔ strain (Figure 4G). These findings suggest that although decreasing ribosome density per mRNA has an overall negative effect on translation, it increases protein output on NGD reporters because it reduces the probability of ribosome collision and hence cleavage efficiency.

The likelihood of elongating ribosomes running into each other, in principal, depends on two parameters (assuming the elongation rate is similar): 1) the strength of the stall, which affects the dwell time of the ribosome on the pause sequence, and 2) ribosome density, which affects the arrival time of the ribosome behind the primary ribosome. We manipulated the first parameter by presenting stall sites of varying strengths to the ribosome. Previous work suggested that stretches of CGA and AAA codons present harder blocks to translation as compared to SL structures (Chen et al., 2010). Indeed in our hands, we observe little to no full-length protein products from these reporters, whereas we observe significant full-length protein product from the SL reporter (Figure 4G). In agreement with our model, the effects of RPL1B deletion on NGD efficiency was completely dependent on the strength of the stall sequence. Cleavage was significantly inhibited for the SL reporter but moderately inhibited for the (CGA)12 reporter and the (AAA)12 reporter (Figure 4H). These findings suggest that by increasing the stalling time, NGD becomes less affected by ribosome density.

To provide further support for our model we deleted other ribosomal protein genes encoding RPS26 and RPS28. Both are encoded by duplicated genes, and deletion of RPS28B appears to impart defects on the biogenesis of the 40S as evidenced by accumulation of 18S rRNA precursors in a ski2Δ rps28bΔ strain (Figure S5) (Ferreira-Cerca et al., 2005). Similar to what we observe for the rpl1bΔ strains, the stoichiometry of ribosomal proteins in the 80S ribosomes was largely unaffected in the rps26bΔ and rps28bΔ strains (Figure S5) as evidenced by mass spectrometry analysis suggesting that ribosome composition is not compromised in these strains.

Consistent with our proposal, deletion of RPS28B inhibited NGD on the SL and, to a lesser extent, on the (CGA)12 and (AAA)12 reporters (Figure 5A). In contrast deletion of RPS26B had little effect on the accumulation of the 5′-fragments. This difference between the two deletions can be easily rationalized by the severity of the RPS28B deletion relative to the RPS26B deletion. This was evident in the polysome profiles, for which the rps28bΔ strain exhibited a much more pronounced peak for the 60S subunit relative to the rps26bΔ strain (Figure 5B). Furthermore, in contrast to the rps28bΔ strain, the rps26bΔ strain did not accumulate 18S rRNA precursor. Corroborating these observations is the finding that the growth rate of the rps26bΔ strain was only slightly reduced, whereas that of the rps28bΔ strain was significantly reduced (Figure S5). Collectively our data on the ribosome mutants suggests that NGD efficiency is to a large extent dictated by ribosome density as a result of its direct consequence on the frequency of ribosome collision.

Figure 5. Reducing ribosome density by deletion of rps28b or by limiting initiation inhibits NGD. See also Figure S5.

Figure 5

(A) Northern analysis of 3′ fragment accumulation in ski2Δ cells expressing the indicated reporters and deleted for rpl1b, rps26b, or rps28b respectively. Cleavage products were quantified relative to the full PGK-stall reporter or to SCR1. The band corresponding to endogenous PGK1 is labeled PGK1 end. (B) Polysome profiles from ski2Δ, ski2Δ rps26bΔ, and ski2Δ rps28bΔ cells. (C) Western blot used to assess reporter protein expression downstream of the indicated 5′UTR for either control PGK or (CGA)12. Cells were grown in the presence of glucose (−) to suppress induction or in the presence of galactose (+) to induce reporter expression. (D) Northern blot analysis of mRNA cleavage from reporters containing longer 5′UTRs.

So far our analysis of the effect of ribosome density on cleavage focused on altering ribosome homeostasis, which is likely to have pleiotropic effects on cellular fitness. In our next set of experiments we focused our efforts on changing ribosome density per mRNA by modifying the reporter itself. We reasoned that by significantly increasing the UTR length, resulting in prolonged scanning by the small subunit, initiation rates should be reduced to an extent that can considerably limit the number of elongating ribosomes on the reporter (analogous to highway on-ramp signals to manage traffic). In particular, we replaced the UTR of the PGK1 gene in our control and (CGA)12 reporter with that of the RPO21 and SCH9 genes (516- and 454-nts, respectively). As expected, increasing the length of the UTR led to a profound decrease in protein synthesis; in particular whereas induction of the PGK1-UTR control reporter resulted in an eightfold increase in PGK1 protein levels, induction of the RPO21- and SCH9-UTR reporters resulted in a dismal twofold increase of protein levels (Figure 5C). As important, these experiments also established that the addition of the long UTRs does not abrogate recognition by the translation machinery and the new reporters are translated, albeit inefficiently. We note that we did not observe an effect on protein accumulation of the (CGA)12 NGD reporter, most likely because these reporters do not produce significant amounts of protein regardless of the UTR sequence (Figure 5C). Nevertheless, in contrast to the PGK1-UTR NGD reporter, for which short abortive products are observed, the reporters with the long UTRs failed to produce observable short protein products suggesting that they are not subject to NGD. In agreement with these observations, we detected little to no 5′-RNA fragments in the presence of the reporters that harbor the long UTRs (Figure 5D). These observations provide independent support for our model that cleavage is sensitive to ribosome “traffic” on NGD targets.

Induction of global collision events is accompanied by ubiquitination of the ribosomal protein RPS3

Two recent reports from the Hegde and Bennett groups (Juszkiewicz and Hegde, 2017; Sundaramoorthy et al., 2017) provided evidence to support that monoubiquitination of a number of ribosomal proteins is critical for resolving stalled ribosomes. Deletion of the E3 ligase ZNF598, or introducing mutations to its ribosomal proteins targets allows for readthrough on polyA sequences and inhibits downstream RQC events. In agreement with these proposals, deletion of HEL2, the yeast orthologue of ZNF598, was also previously shown to result in a similar phenotype (Letzring et al., 2013; Saito et al., 2015). Motivated by these observations, we sought to explore whether ribosome monoubiquitination is also triggered by ribosome collision. To accomplish this, we took advantage of the fact that substituting proline for glutamine at residue 56 (P56Q) of ribosomal protein RPL42 (eL42) renders ribosomes resistant to cycloheximide (Roguev et al., 2007; Shirai et al., 2010). Fortuitously, in yeast RPL42 is encoded by two paralogues, RPL42A and RPL42B, and as a consequence mutating one should result in a mixed population of ribosomes with respect to cycloheximide sensitivity. Hence, addition of cycloheximide to these strains should result in global ribosomal collision.

We initially set out to assess the relative expression of RPL42A and RPL42B in our strain. However, since the protein sequence is identical we opted to use qRT-PCR with gene-specific primers to assess their transcript levels. Both genes express to substantial levels (as compared to taf10), with RPL42B expressing at approximately twice the levels of RPL42A (Figure 6A). With this in mind, we chose to introduce the P56Q mutation to RPL42B as we hypothesized this will lead to increased ribosome stacking upon cycloheximide addition. We also introduced the same mutation to both genes to make a strain that is fully resistant to cycloheximide. As expected, a strain carrying wild-type copies of both genes was very sensitive to cycloheximide, for which no growth was observed when the antibiotic was added to concentrations higher than 160 ng/mL (Figure 6B). A strain harboring mixed populations of ribosomes was slightly more resistant to cycloheximide but overall sensitive; robust growth was observed at an antibiotic concentration of 160 ng/μL. Finally a strain carrying P56Q-mutant copies of both genes was fully resistant to cycloheximide even when the antibiotic was added to 10 μg/mL.

Figure 6. Ribosome collision is accompanied by ubiquitination of ribosomal protein RPS3. See also Figure S6.

Figure 6

(A) Bar graph showing the relative transcript levels of the RPL42A and RPL42B genes to TAF10 as assessed by qRT-PCR. The values are the mean of three biological repeats with error bars depicting the standard deviation. (B) Growth curves of the indicated strains in the presence of the specified cycloheximide concentrations. (C) Western-blot analysis of RPS3 modification (assessed by anti-FLAG antibody) in the cycloheximide –sensitive, –mixed and –resistant strains in the presence or absence of the antibiotic. Arrowheads point to bands that appear in the presence of cycloheximide. (D) Western-blot analysis of anti-FLAG immunoprecipitated protein under conditions as in (C). Arrowheads point to bands that are enriched after cycloheximide treatment. (E) Western-blot analysis used to explore the effect of HEL2 on the cycloheximide-dependent modification of RPS3 as well as appearance of ubiquitinated protein products in the cycloheximide-mixed strain. (F) Western-blot analysis used to follow RPS3 modification and appearance of ubiquitinated protein products as a function of cycloheximide concentration. Antibiotic concentrations from left to right: 100, 33, 11, 3.7, 1.2, 0.41, 0.14, 0.045, 0.015, 0.0051 and 0.00 μg/mL.

Having established that the RPL42 strains display the expected sensitivity towards cycloheximide, we next explored the effect of the antibiotic on ribosomal protein ubiquitination. We focused our efforts on RPS3, which has been shown to be ubiquitinated in response to stalling (Juszkiewicz and Hegde, 2017; Sundaramoorthy et al., 2017). Tagging the endogenous RPS3 with a FLAG tag allowed us to follow its modification as a function of cycloheximide addition using western blotting. We note that tagging RPS3 with the longer 3 × FLAG tag altered the modification pattern, suggesting that ubiquitination is likely dependent on the context of the C-terminus of RPS3. As expected, in the absence of cycloheximide we observe little to no modification of RPS3 regardless of the strain background (Figure 6C). In agreement with our collision-based model, we only observe robust modification of RPS3 upon addition of cycloheximide to the mixed-ribosome strain. The appearance of a band that corresponds to a mass shift of ~8 kDa (Figure 6C) is consistent with monoubiquitin being added to the protein as has been shown by others (Juszkiewicz and Hegde, 2017; Sundaramoorthy et al., 2017). In support of these ideas, we also detect an accompanying accumulation of ubiquitinated proteins as judged by anti-ubiquitin blotting. The addition of ubiquitin to RPS3 was further confirmed by immunoprecipitation of the protein (using anti-FLAG resin) and subsequent blotting for ubiquitin (Figure 6D). Consistent with our earlier western blotting analysis (Figure 6C), substantial signal for ubiquitin was only observed for the mixed strain in the presence of cycloheximide. Furthermore as expected, the modification was no longer detected when HEL2 was deleted from the mixed-ribosome strain, and the accumulation of ubiquitinated proteins was also absent (Figure 6E).

The observation that cycloheximide on its own does not result in modification of RPS3 suggests stalling on its own cannot activate the RQC pathway. Having said that, we reasoned that modification of RPS3 should be observed in the wild-type strain by titrating cycloheximide to a concentration where it no longer saturates ribosomes. In other words, concentrations at which binding of the antibiotic is dynamic should lead to collision of ribosomes since at any given point some ribosomes will be bound by the antibiotic whereas others will not. We titrated cycloheximide from 100 μg/mL down to 5 ng/mL and looked at the modification of RPS3. As expected, no ubiquitination was observed at the high and low concentrations of cycloheximide (Figure 6F). Instead, and in agreement with our model, we observed appreciable modification of RPS3 when the antibiotic was added at intermediate concentrations (0.13–3.7 μg/mL or 0.45–13 μM). Interestingly, these concentrations are close to the measured KD values for cycloheximide binding to the eukaryotic ribosome (Garreau de Loubresse et al., 2014; Schneider-Poetsch et al., 2010), and as such association between the antibiotic and the ribosome is most dynamic. In summary, these findings on the RQC pathway strongly suggest that ribosome collision is somehow detected by the E3 ligase HEL2 to ubiquitinate certain ribosomal proteins.

DISCUSSION

Quality control pathways are widespread and utilized by all organisms to ensure that cellular homeostasis is maintained. These processes typically inspect the integrity of biological polymers and respond through repair or degradation of the aberrant molecules. Failing to respond rapidly is often deleterious as is evident in the case of DNA repair, for which defects in the machinery’s response to DNA damage can result in cellular death or cancer (Jeggo et al., 2016). On the other hand, these processes are energetically expensive and as a result should not be called upon unless needed. Therefore, it is paramount that these processes distinguish between real targets and their look-alikes. This is especially true for the mRNA surveillance pathway of no-go decay. The process responds to stalled ribosomes on defective mRNAs, but there are many examples in biology that take advantage of slow ribosomes to regulate gene expression. Chief among these is SRP targeting of nascent peptides to the ER (Akopian et al., 2013), during which the ribosome essentially comes to a complete stop before being moved to the ER membrane to resume translation. These events do not appear to trigger NGD and the corresponding mRNAs are not short lived. These observations can be readily rationalized by a model whereby SRP’s interaction with the ribosome inhibits the action of the endonuclease. Our data, however, argues that SRP targeting does not elicit NGD because stalling occurs during the synthesis of the N-terminus before multiple ribosomes can stack on the mRNA. Furthermore, efficiency of NGD is directly correlated to ribosome density suggesting that ribosome collision is key in transmitting the activation signal to the endonuclease. It is important to note that under normal conditions, initiation rates have been estimated to be at least 100 fold slower than elongation rates (Yan et al., 2016). As such, ribosome collisions are not typically encountered during translation, making undamaged transcripts poor NGD targets. In other words, ribosomes have to be exceptionally slow before cleavage is induced. This in turn can explain why elongation rates are capable of varying greatly, which is an essential feature of translation that is required for proper protein folding and trafficking (Kim et al., 2015).

Our model is also supported by observations that upstream open reading frame (uORF) sequences that stall the ribosome are not subject to NGD (Guydosh and Green, 2014). These sequences tend to be extremely short and can only accommodate one ribosome and as a result collision cannot take place on these mRNAs. Perhaps the most compelling support comes from studies on the ribosome-associated factor ASC1 (RACK1 in humans); a factor that appears to play a role during NGD. Deletion of ASC1 or mutations that affect its association with the ribosome results in significant read through on inhibitory CGA codons, but only when these are located deep inside the open reading frame (Letzring et al., 2013; Wolf and Grayhack, 2015). Deletion of the factor has no effect on read through when the CGA codons are located near the initiation codon (4th amino acid). Also, no cleavage products were observed in this reporter; in contrast robust cleavage is observed for the internal reporter. It should be noted that the read-though effects are not specific to ASC1 as deletion of other NGD factors such as HEL2 results in a similar phenotype (Letzring et al., 2013).

At least two important and related questions come out of our studies reported here: 1) Why are multiple ribosomes required for efficient NGD? 2) How does collision activate the endonuclease? While our data does not directly answer these questions, one can propose multiple scenarios to address them. For instance it is possible that the endonuclease associates with a small fraction of ribosomes and is activated upon stalling through perhaps an atypical conformation of the ribosome such as a rotated state. Although this scenario does not explain the precipitous drop in cleavage efficiency when the SL was moved upstream from position 175 to 135 in the PGK1-SL reporter (Figure 3). One could also imagine that the endonuclease is activated through oligomerization, which can be mediated through stacked ribosomes. A precedent for this is the yeast IRE1 endonuclease. The protein mediates the unfolded protein response through translational-coupled splicing of the transcription factor HAC1. Upon ER-stress, the protein oligomerizes into a higher order structure that appears to be responsible for its final activation (Korennykh et al., 2009).

Our collision model for NGD is corroborated by recent ribosomal profiling studies in eukaryotes as well as bacteria, for which < 2 ribosomes are typically seen behind a primary stalling ribosome. In yeast, the addition of 3-Amino-1,2,4-triazole (3-AT), an inhibitor of HIS3, results in global stalling as evident by the accumulation of ribosomal footprints near histidine codons (Guydosh and Green, 2014). In contrast, footprints for the trailing ribosomes did not appreciably increase. This absence of an expected “traffic jam” (Mitarai et al., 2008) suggests that collisions are readily resolved. We note that even under these global conditions of stalling, polysomes were found to collapse predominantly to monosomes after the addition of RNase I (Guydosh and Green, 2014) suggesting that ribosomes are not in close proximity to each other. Similar observations were also made in E. coli, when stalling is induced through amino-acid starvation (Subramaniam et al., 2014).

Arguably the most compelling evidence for ribosome collision playing a critical role in quality control came from our analysis on ribosomal protein ubiquitination as a consequence of cycloheximide-induced stalling. It has been noted for a while now that addition of the antibiotic stabilizes mRNAs on the ribosome (Jacobson and Peltz, 1996), which puts forward a conundrum: the antibiotic elicits global stalling, yet it does not trigger NGD. This observation can be easily rationalized by a scenario whereby the antibiotic stabilizes a ribosome state that is not productive for endonucleolytic cleavage. Our model, however, provides an alternative explanation for the inability of the antibiotic to trigger NGD. Under normal circumstances, cycloheximide stalls every translating ribosome and as a result collisions are avoided. Similar to its apparent lack of effect on NGD, cycloheximide-induced stalling does not result in the ubiquitination of the ribosomal protein RPS3. However, by introducing a mutation that results in a mixed population of cycloheximide-responsive ribosomes, RPS3 was modified upon the addition of the antibiotic (Figure 6). Under these conditions, global collision events are more likely to occur, which explains the gain of modification observed. In agreement with this, titrating cycloheximide to a range of concentrations near its binding affinity to the ribosome also resulted in modification of RPS3. At these concentrations binding of the antibiotic to the ribosome is dynamic and hence at any given point a subset of the ribosomes will be arrested. These observations reconcile earlier observations from the Weissman group (Brandman et al., 2012), which linked the RQC pathway to HSF1 induction. In these studies, cycloheximide activated HSF1 only at low concentrations.

Finally, our data offers some clues about the identity of the endonuclease. Our observations, as well as those of others, of the ~30-nt gaps between mapped cleavage products suggest that it is ribosome associated (Guydosh and Green, 2017). Our proposal of activation through ribosome collision offers an elegant mechanism for its regulation. Interestingly, as cleavage takes place in between tightly packed ribosomes, for which the downstream cleavage by our estimate occurs 10–15 nt inside the secondary ribosome, it is feasible that the ribosome itself is the endonuclease. As many of the ribosomal proteins are duplicated in yeast, it is conceivable that this redundancy is responsible for the failure of many NGD- and NSD-based screens to identify the enzyme (Kuroha et al., 2010; Letzring et al., 2013; Wilson et al., 2007).

STAR METHODS

CONTACT FOR REAGENT AND RESOURCE SHARING

Further information and requests for resources or reagents should be directed to the lead contact, Hani Zaher ([email protected]).

EXPERIMENTAL MODEL AND SUBJECT DETAILS

Yeast strains and growth conditions

Cells were cultured at 30°C in either YPD or in defined media when expressing reporter plasmids. Yeast knockout strains were made using standard PCR-based disruption techniques in the background BY4741 (MATa (his3Δ1 leu2Δ0 met15Δ0 ura3Δ0). HIS3 and HYG cassettes were amplified from plasmids pFAGa-6xGLY-FLAG-HIS3 (Funakoshi and Hochstrasser, 2009) and pFA6a-HTB-hphMX4 (Tagwerker et al., 2006) respectively using oligos complementary to the target insertion sites.

The RPL42B(P56Q):HIS strain was constructed by cloning the RPL42B coding sequence into the AscI/BglII sites and the RPL42B UTR into the SacI site of pFA6a-6xGLY-FLAG-HIS3. The P56Q mutation was introduced by site directed mutagenesis and the entire cassette was amplified and transformed. The RPL42A gene was mutated by amplifying overlapping regions of the coding sequence, incorporating the P56Q mutation. These products were fused using PCR and the resulting cassette used to transform the RPL42B(P56Q):HIS.

Strains carrying mixed cycloheximide-sensitive ribosome populations were treated with 100 μg/mL cycloheximide for 30 min prior to pelleting for protein isolation.

METHOD DETAILS

Plasmid construction

The plasmids encoding the PGK1 gene and PGK1-SL under control of the GAL1 promoter were obtained from R. Parker (Doma and Parker, 2006). PGK1-(CGA)12, PGK1-(AAA)12 and PGK1-(UUU)12 were made by annealing complementary oligos and ligating them to XbaI digested PGK1 plasmid. To make stem loop reporters with the stall sequence at different positions, the existing XbaI site from PGK1 was removed and new sites added using site-directed mutagenesis. The stem-loop sequence was made by annealing a partially self-complementary oligo and extending it with Klenow enzyme. The resulting double stranded sequence was then digested with XbaI and ligated to XbaI-digested plasmids. Plasmids with longer 5′UTRs were constructed by amplifying the entire PGK1 control plasmid or PGK1-(CGA)12 plasmid from the ATG of PGK1 to the upstream BamHI site and inserting a PCR product with the 5′UTR of RPO21 or SCH9, using BamHI and XhoI.

The (CGA)4 luciferase assay reporter was made using site directed mutagenesis to insert the (CGA)4 sequence between the Renilla and Firefly luciferase genes in pDB688 (Salas-Marco and Bedwell, 2005).

Northern blotting

Culture was grown overnight in a defined media (-Ura) in the presence of glucose. The culture was washed twice in media containing 2% raffinose and 2% galactose, diluted to OD 0.1 in the same media and allowed to grow to an OD of 0.5–0.8 to induce the gal-driven reporters. RNA was isolated using the hot phenol extraction method followed by chloroform extraction and ethanol precipitation. The samples were then phenol-chloroform extracted and ethanol precipitated a second time. 2 μg of total RNA was resolved on 1.2% formaldehyde agarose gel, followed by transfer to positively-charged nylon membrane (GE Lifesciences) using a vacuum blotter (Biorad). Nucleic acids were UV cross-linked to the membrane and baked at 80°C for 15 minutes. Membranes were then pre-hybridized in Rapid-Hyb buffer (GE Lifesciences) for 30 minutes in a hybridization oven. Radiolabeled DNA probe, which was labeled using polynucleotide kinase and [γ-32P]ATP, was added to the buffer and incubated overnight. Membranes were washed with nonstringent buffer (2 × SSC, 0.1% SDS) three times, in some cases followed by three washes in stringent buffer (0.2 × SSC, 0.1% SDS), all at hybridization temperature. Membranes were exposed to a phosphorimager screen and analyzed using a Biorad personal molecular imager. Northern blots performed on denaturing PAGE were resolved on 6% PAGE in TBE/urea followed by transfer to positively-charged nylon membrane using a semi-dry transfer apparatus (Biorad) in 0.5 × TBE. The membranes were then treated exactly as those used for denaturing agarose.

3′-RACE mapping of cleavage products

Total RNA samples were ligated to a short adenylated DNA oligonucleotide, 5′ rAppCTGTAGGCACCATCAAT/3ddC/3′, using truncated T4 RNA ligase 2 (NEB). Following reverse transcription with a primer complementary to the adaptor, the cDNA was amplified with a 5′-primer that annealed at the start codon. The forward and reverse primers introduced BamHI and XhoI restriction sites, respectively, which allowed us to clone the samples into pPROEX-htb (Invitrogen).

Next generation sequencing libraries

Next generation sequencing libraries were prepared as above except the cDNA was amplified using primers designed for the Illumina HiSeq platform that contain sequence complementary to the adaptor and to position 585 of PGK1. This position was chosen based on results from our lower resolution mapping experiments. Samples were then column purified to remove primers.

Polysomes analysis

Yeast cultures were grown to mid-log phase before cycloheximide was added to a final concentration of 100 μg/mL. The culture was chilled by adding an equal volume of ice and centrifuged at 4°C. Cells were then resuspended in polysome lysis buffer (20 mM Tris pH 7.5, 140 mM KCl, 5 mM MgCl2, 0.5 mM DTT, 1% Triton-100, 100 μg/mL cycloheximide, 200 μg/mL heparin), washed once and lysed with glass beads using a FastPrep (MP Biomedical). Supernatant from cleared lysate corresponding to 1 mg of total RNA was layered over a 10–50% sucrose gradient and centrifuged at 37,000 rpm for 160 min in an SW41Ti (Beckman) swinging bucket rotor. Gradients were fractionated using a Brandel tube-piercing system combined with continuous absorbance reading at A254 nm. RNA was isolated using phenol/chloroform extraction in the presence of 1% SDS followed by ethanol precipitation. The extraction/precipitation protocol was repeated to clean up the RNA samples further. Fractions were resolved on 1.2% formaldehyde agarose and analyzed by Northern blots as described above.

Luminescence and western blot

5–10 ml of exponentially growing culture (defined media –Ura) was collected. The cell pellet was washed with TE and resuspended in 100–200 μL of passive lysis buffer (Promega). Lysis was accomplished by adding glass beads (~ 50 μL) to the sample and vortexing 5 × for a minute each time at high speed, with incubation on ice in between each interval. The lysate was clarified by centrifugation and diluted 30 to 50 fold. Luminescence was measured using the Dual-Luciferase Reporter Assay System (Promega) on a Tecan plate reader equipped with an automated injection system.

For western blot assays, proteins were isolated using the NaOH/TCA method and resuspended in HU buffer (8 M Urea, 5% SDS, 200 mM Tris pH 6.8, 100 mM DTT). Proteins were resolved on 12% SDS PAGE gels and transferred to PVDF membranes using a semi-dry transfer apparatus (BioRad). The membranes were blocked with milk in PBST for ~ 30 minutes at room temperature followed by incubation with primary antibody overnight at 4°C. After washing with PBST, the membrane was incubated with the appropriate HRP-conjugated secondary antibody for ~ 1hr at room temperature before washing 3–4 × with PBST. Detection was carried out on a GE ImageQuant LAS 4000 using the Pierce SuperSignal West Pico Chemiluminescent Substrate. The following antibodies were used: rabbit anti-RPS9 (ab117861), and mouse anti-PGK1[22C5D8] (ab113687) from Abcam; mouse anti-FLAG [M2] from Sigma-Aldrich; mouse anti-Ub [P4D1] (sc-8017) from Santa Cruz; rabbit anti-eRF1 was a gift from R. Green (Eyler et al., 2013); goat anti-mouse IgG HRP (31430) and goat anti-rabbit IgG HRP (31460) from Thermo Scientific.

In vivo 35S-met labeling

Cultures were grown overnight in YPD, washed twice, diluted to OD 0.2 in defined media (-Ura) and allowed to grow to OD 0.6. Cells were then washed twice in media lacking methionine (-Ura, -Met) and resuspended at OD 0.6. 35S-methionine was added to ~10 nM (0.2 mCi 35S-met) and cells were collected at intervals from 8 to 40 minutes. An aliquot was taken prior to addition of labeled methionine for T=0. Proteins were isolated using the NaOH/TCA method and resuspended in HU buffer. Samples were separated on 12% SDS-PAGE, transferred to PVDF membrane and exposed to a phosphorimager screen, followed by western blotting for PGK1 as a steady-state control. Samples were also separated on a second gel for Coomassie staining.

Quantitative RT-PCR

Total RNA from yeast cells was isolated following the hot phenol method (Kohrer and Domdey, 1991). cDNA was generated with M-MuLV reverse transcriptase (Promega) from 1ug of total RNA that was treated with DNaseI (Themo Fisher Scientific) using a random hexamer for priming. Quantitative RT-PCR was conducted using iTaq Universal SYBR Green Supermix (BIO-RAD) with ~50 ng of cDNA. Relative fold change was obtained by following the ΔΔCt method. Gene expression was normalized to the expression level of the taf10 gene.

Yeast sensitivity assay

The sensitivity assay was carried out as described here (Toussaint and Conconi, 2006). In brief, yeast cells were grown to mid-log-phase (OD600 of 0.5–0.7). Cells were collected, washed and resuspended in YPD to a final density of OD 0.8. 5 ul of the cell suspensions were added to 195 ul of YPD with CHX at various concentrations, from 0–10 μg/mL. All samples were prepared in biological triplicates as well as technical duplicates in 96-well polystyrene microplates. The plate was incubated at 30°C with shaking on a microplate scanning spectrophotometer (Biotek). Cell density was monitored every 10 min over 24–48 h at 600nm.

Immunoprecipitation with anti-FLAG resin

Yeast cells were grown to mid-log phase (OD600 of 0.5–0.7). Cycloheximide was added at 100 ug/mL to one half of the culture and cells collected after an additional 30 minutes. Cells were washed once and resuspended in lysis buffer (50 mM Tris-HCl, pH 7.4; 150 mM NaCl; 1 mM EDTA, 1% Triton), then lysed with glass beads using a FastPrep (MP Biomedical).

Resin (Anti-FLAG M2 affinity gel, Sigma) was prepared by rinsing in TBS twice, washing three times with 0.1 M Glycine HCl, pH 3.5, and washing 5 times in TBS. Lysate was added to the washed resin and allowed to incubate for 4 hours at 4°C while rotating. Resin was collected by brief centrifugation and proteins were eluted using SDS loading buffer. DTT was added to the samples following the elution step and proteins were analyzed by western blotting.

Tandem mass spectrometry

Approximately 50 μg ribosomes were denatured in 8M urea in a total volume of 100 μl. Proteins were then reduced in the presence of 10 mM dithiothreitol at room temperature for 1 hour, and alkylated in the dark in the presence of 50 mM 2-iodoacetamide at room temperature for a further 1 hour. Excess alkylating agent was then quenched with 50 mM dithiothreitol for 5 minutes at room temperature, and the sample was diluted with 900 μl of 25 mM ammonium bicarbonate to reduce the urea concentration to below 1.5 M. Proteolytic digestion was then initiated by adding 0.5 μg of sequencing grade modified porcine trypsin (Promega), giving a total protein to trypsin ratio of approximately 30:1, and the samples were incubated overnight at 37°C. Peptides then were vacuum dried in a Speed Vac centrifugal evaporator (Savant Instruments, model number SUC100H) to a final volume of approximately 250 μl, acidified with 10% trifluoroacetic acid (TFA) until the pH was less than 3, then desalted and concentrated on a 100 μl Bond Elut OMIX C18 pipette tip (Agilent Technologies), as according to the manufacturer’s instructions. The sample was eluted in 50 μl of 75% acetonitrile, 0.1% acetic acid, then dried and resuspended in 50 μl 5% acetonitrile, 0.1% formic acid. Nano-scale liquid chromatography (LC) separation of tryptic peptides was performed on a Dionex Ultimate 3000 Rapid Separation LC system (Thermo Scientific). The protein digests were loaded onto a 1 μl nanoViper sample loop (Thermo Scientific), and separated on a C18 analytical column (Acclaim® PepMap RSLC C18 column, 2 μm particle size, 100 Å pore size, 75 μm × 15 cm (Thermo Scientific)) by the application of a linear 2 hour gradient from 1.8% to 32% acetonitrile in 0.1% formic acid, with a column flow rate set to 250 nl/min. Analysis of the eluted tryptic peptides was performed online using a Q Exactive Plus mass spectrometer (Thermo Scientific) possessing a Nanospray Flex Ion source (Thermo Scientific) fitted with a stainless steel nano-bore emitter operated in positive electro-spray ionisation (ESI) mode at a capillary voltage of 1.85 kV. Data-dependent acquisition of full MS scans within a mass range of 380–1500 m/z at a resolution of 70,000 was performed, with the automatic gain control (AGC) target set to 1 × 106, and the maximum fill time set to 100 ms. High energy collision-induced dissociation (HCD) fragmentation of the top 15 most intense peaks was performed with a normalized collision energy of 28, with an intensity threshold of 2 × 105 counts and an isolation window of 3.0 m/z, excluding precursors that had an unassigned, +1, +7 or +8 charge state. MS/MS scans were conducted at a resolution of 17,500, with an AGC target of 2 × 105 and a maximum fill time of 100 ms. Dynamic exclusion was performed with a repeat count of 2 and an exclusion duration of 8 seconds, while the minimum MS ion count for triggering MS/MS was set to 4 × 103 counts. The resulting MS/MS spectra were analyzed using Proteome Discoverer software (version 2.0.0.802, Thermo Scientific), which was set up to search the S. cerevisiae proteome database, as downloaded from www.uniprot.org/proteomes (ID number UP000002311). Peptides were assigned using SEQUEST HT (Eng et al., 1994), with search parameters set to assume the digestion enzyme trypsin with a maximum of 2 missed cleavages, a minimum peptide length of 6, precursor mass tolerances of 10 ppm, and fragment mass tolerances of 0.02 Da. Carbamidomethylation of cysteine was specified as a static modification, while oxidation of methionine and N-terminal acetylation were specified as dynamic modifications. The target false discovery rate (FDR) of 0.01 (strict) was used as validation for peptide-spectral matches (PSMs) and peptides. Proteins that contained similar peptides and which could not be differentiated based on the MS/MS analysis alone were grouped, to satisfy the principles of parsimony. Label-free quantification as previously described (Silva et al., 2006) was performed in Proteome Discoverer with a minimum Quan value threshold of 0.0001 using unique peptides, and “3 Top N” peptides used for area calculation. All samples were injected in duplicate, and the resulting values were averaged.

QUANTIFICATION AND STATISTICAL ANALYSIS

High throughput sequencing analysis

Single read HiSeq 2500 sequencing was performed by the Genome Technology Access Center (GTAC) at Washington University. Quality of Raw data was analyzed using the Fastx toolkit (http://hannonlab.cshl.edu/fastx_toolkit/index.html), followed by trimming using cutadapt (Martin, 2011) and aligned to our reference reporter sequence using NovoAlign (http://www.novocraft.com/).

DATA AND SOFTWARE AVAILABILITY

High throughput sequencing data were deposited into the GEO database, accession # GSE101667.

Raw gel images are available from the Mendeley Database at http://dx.doi.org/10.17632/w8tgnf8rr5.1

KEY RESOURCES TABLE

REAGENT or RESOURCE SOURCE IDENTIFIER
Antibodies
Rabbit polyclonal anti-RPS9 Abcam Cat#: ab117861; RRID:AB_10933850
Mouse monoclonal anti-PGK1[22C5D8] Abcam Cat#: ab113687; RRID:AB_10861977
Mouse monoclonal anti-FLAG[M2] Sigma Cat#: F1804; RRID:AB_262044
Mouse monoclonal anti-Ubiquitin-HRP[P4D1] Santa Cruz Cat#: sc8017; RRID:AB_628423
Rabbit polyclonal anti-eRF1 Eyler et al., 2013 N/A
Goat polyclonal anti-mouse IgG-HRP Thermo Scientific Cat#: 31430; RRID:AB_228307
Goat polyclonal anti-rabbit IgG-HRP Thermo Scientific Cat#: 31460; RRID:AB_228341
Anti-FLAG M2 affinity gel Sigma Cat#: A2220; RRID:AB_10063035
Bacterial and Virus Strains
Biological Samples
Chemicals, Peptides, and Recombinant Proteins
XbaI NEB Cat#: R0145
BamHI NEB Cat#: R0136
XhoI NEB Cat#: R0146
T4 DNA Ligase NEB Cat#: M0202
T4 RNA Ligase 2 truncated NEB Cat#: M0242
T4 Polynucleotide Kinase NEB Cat#: M0201
Phusion High Fidelity DNA polymerase NEB Cat#: M0530
DNA Polymerase I, Large (Klenow) Fragment NEB Cat#: M0210
DNAse I ThermoScientific Cat#: 89836
M-MuLV reverse transcriptase Promega Cat#: M1701
iTaq Universal SYBR Green Supermix Bio-Rad Cat#: 1725121
Random hexamer Invitrogen Cat#: SO142
cycloheximide ultra pure VWR Cat#: 94271
heparin sodium Crescent Chemical Co SE24590.01
Pierce Trypsin protease MS-Grade Thermo Scientific Cat#: 90058
SuperSignal West Pico Chemiluminescent Substrate Thermo Scientific Cat#: 30480
RapidHyb buffer GE Amersham Cat#: RPN1636
[γ-32]ATP Perkin Elmer Cat#: NEG035C001MC
EasyTag Methionine L-[35S] Perkin Elmer Cat#: NEG709A005MC
Critical Commercial Assays
Dual Luciferase Reporter Assay system Promega Cat#: E1960
Zero Blunt TOPO PCR Cloning kit Invitrogen Cat#: K280020
Deposited Data
Raw and analyzed data This paper GEO: GSE101667
S. cerevisiae proteome database www.uniprot.org/proteomes ID number UP000002311
Mendeley Data This paper http://dx.doi.org/10.17632/w8tgnf8rr5.1
Experimental Models: Cell Lines
Experimental Models: Organisms/Strains
S. cerevisiae: matA: BY4741 Dharmacon Cat#: YLR398C; clone: 5307
S. cerevisiae: ski2Δ: BY4741; ski2Δ::kanMX Dharmacon Cat#: YNL001W; clone: 5329
S. cerevisiae: dom34Δ: BY4741; dom34Δ::kanMX Dharmacon Cat#: YGL173C; clone: 4540
S. cerevisiae: xrn1Δ: BY4741; xrn1Δ::kanMX Dharmacon N/A
S. cerevisiae: dom34Δ; ski2Δ: BY4741; dom34Δ::kanMX; ski2Δ::kanMX Guydosh and Green, 2014 N/A
S. cerevisiae: rpl1bΔ: BY4741; rpl1bΔ::HYG This work N/A
S. cerevisiae: ski2Δ; rpl1bΔ: BY4741; ski2Δ::kanMX; rpl1bΔ::HYG This work N/A
S. cerevisiae: ski2Δ; rps26bΔ: BY4741; ski2Δ::kanMX; rps26Δ::HIS3 This work N/A
S. cerevisiae: ski2Δ; rps28bΔ: BY4741; ski2Δ::kanMX; rps28Δ::HIS3 This work N/A
S. cerevisiae: RPL42A; RPL42B: BY4741; rpl42b::HIS3 This work N/A
S. cerevisiae: RPL42A; rpl42b: BY4741; rpl42b(P56Q)::HIS3 This work N/A
S. cerevisiae: rpl42a; rpl42b: BY4741; rpl42a(P56Q); rpl42b(P56Q)::HIS3 This work
Oligonucleotides
Oligo for RNA ligation: pCTGTAGGCACCATCAAT/3ddC/ Sigma
DNA oligos for cloning, probes: See Table S1
Recombinant DNA
PGK1 reporter Doma and Parker, 2006 pRP1251
PGK1-SL reporter Doma and Parker, 2006 N/A
PGK1-(CGA)12 This work N/A
PGK1-(AAA)12 This work N/A
PGK1-(UUU)12 This work N/A
PGK1-SL10 This work N/A
PGK1-SL22 This work N/A
PGK1-SL48 This work N/A
PGK1-SL60 This work N/A
PGK1-SL105 This work N/A
PGK1-SL135 This work N/A
PGK1-SL175 This work N/A
PGK1-SL200 This work N/A
PGK1-(CGA)1222 This work N/A
PGK1-(CGA)1248 This work N/A
PGK1-(CGA)1260 This work N/A
PGK1-(CGA)12105 This work N/A
PGK1-(CGA)12135 This work N/A
PGK1-(CGA)12200 This work N/A
PGK1-(AAA)1222 This work N/A
PGK1-(AAA)1248 This work N/A
PGK1-(AAA)1260 This work N/A
PGK1-(AAA)12105 This work N/A
PGK1-(AAA)12135 This work N/A
PGK1-(AAA)12200 This work N/A
RPO21-PGK1 This work N/A
RPO21-(CGA)12 This work N/A
SCH9-PGK1 This work N/A
SCH9-(CGA)12 This work N/A
pPROEX-htb ThermoScientific Cat#: K280020
pCR-Blunt II TOPO vector Invitrogen Cat#: Addgene 20750
pFA6a-6xGLY-FLAG-HIS3MX6 Funakoshi and Hochstrasser, 2009 Cat#: Addgene 26876
pFA6a-HTB-hphMX4 Tagwerker et al., 2006 N/A
pDB688 Salas-Marco and Bedwell, 2005
Software and Algorithms
Fastx-toolkit http://cutadapt.readthedocs.io/en/stable/index.html#
Cutadapt Martin, 2011 http://www.novocraft.com/
NovoAlign
Other

Supplementary Material

1
2

Table S1: DNA oligos used in this study, related to STAR methods.

Acknowledgments

The authors thank: Kim Kyusik for assistance with analysis of high-throughput sequencing results, Fionn McLoughlin and the Vierstra lab for help and guidance with mass spectrometry analysis. We thank Roy Parker for the PGK1 and PGK1-SL plasmids. The authors also thank Doug Chalker, Nima Mosammaparast and Joe Jez for comments on earlier versions of the manuscript as well as Rachel Green and Allen Buskirk for useful discussions. This work was supported by the National Institutes of Health (NIH R01GM112641 to HSZ) and a Searle Scholars award (to HSZ).

We thank the Genome Technology Access Center at Washington University School of Medicine for help with genomic analysis; and the facilities of the Washington University Center for High Performance Computing, partially provided through NIH grant S10 OD018091.

Footnotes

AUTHOR CONTRIBUTION

CLS and LLY designed and performed the assays. CLS and HSZ designed the experiments and wrote the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1
2

Table S1: DNA oligos used in this study, related to STAR methods.

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