To better understand how eIF4A-catalyzed ATP hydrolysis is related to the removal of RNA structure and mRNA recruitment, we compared the kinetics of recruitment of the natural mRNA RPL41A (possessing structural complexity throughout its length; Figure 1—figure supplement 1C) with a 50 nucleotide (nt) model mRNA made up of CAA-repeats and an AUG codon at positions 24–26 (CAA 50-mer) (Aitken et al., 2016) (Figure 1—figure supplement 1A–B; see RNAs 1 and 10 in Supplementary file 1). As for most natural mRNAs, RPL41A is thought to have numerous base-pairing interactions throughout its length while the CAA 50-mer is expected to have little, if any, structure (Sobczak et al., 2010; Zuker, 2003) (Figure 1—figure supplement 1).

mRNA recruitment experiments were performed as described previously, using an in vitro-reconstituted S. cerevisiae translation initiation system and single turnover kinetics (Mitchell et al., 2010; Walker et al., 2013). Briefly, 43S PICs containing 40S, TC, eIF1, eIF1A, eIF5, and eIF3 were formed in the presence of saturating levels of eIFs 4A, 4B, 4E, and 4G (see mRNA Recruitment Assay in Materials and methods). eIF4A, 4G, and 4E are assumed to form the heterotrimeric eIF4F complex under experimental conditions (Mitchell et al., 2010). Reactions were initiated by simultaneous addition of ATP and an mRNA labeled with a [³²P]−7-methylguanosine (m⁷G) cap, enabling mRNA recruitment to the PICs and formation of 48S complexes. Reaction timepoints were acquired by mixing an aliquot with a 25-fold excess of a non-radioactive (‘cold’) capped mRNA identical to the labeled one in the reaction, effectively stopping further recruitment of radiolabeled mRNA. The rate of dissociation of recruited mRNAs from the PIC in the presence of the cold chase mRNA was negligible for all mRNAs in the study (data not shown). Free mRNA and 48S complexes were resolved via gel electrophoresis on a native 4% THEM polyacrylamide gel (Acker et al., 2007; Mitchell et al., 2010).

We first compared the kinetics of recruitment for RPL41A with CAA 50-mer in the presence and absence of ATP (Figure 1). In the presence of saturating ATP, the rate of recruitment of RPL41A was 0.74 ± 0.01 min⁻¹ with an endpoint in excess of 90%. In contrast, in the presence of ADP, and in reactions lacking either nucleotide or eIF4A, less than 20% of RPL41A mRNA was recruited after 6 hr, indicating a dramatically lower rate that could not be measured accurately due to the low reaction endpoint (Figure 1A,C). The CAA 50-mer was recruited in the absence of eIF4A and ATP at rates of about 0.90 min⁻¹, likely due to lack of significant structure, reaching endpoints around 80%. Surprisingly, the addition of eIF4A and ATP stimulated recruitment of the CAA 50-mer to a rate that could not be measured accurately by manually quenching the reaction; however, we estimate that the increase in rate was at least 4-fold (4.0 ± 0.6 min⁻¹) and yielded an endpoint of 90% (Figure 1B,C).

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Individual measurements of the percent of RPL41A and CAA 50-mer recruited to the PIC over time.

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To determine whether ATP hydrolysis is required for the stimulation of the rate of mRNA recruitment that we observed, we next measured the rate of recruitment with the non-hydrolyzable ATP analogs ADPCP and ADPNP, as well as with the slowly-hydrolyzable analog ATP-γ-S (Peck and Herschlag, 2003). Neither ADPCP nor ADPNP supported stimulation of the recruitment of either mRNA by eIF4A, producing rates that were comparable to the observed rates measured in the absence of nucleotide or eIF4A (Figure 1; compare grey and blue curves to red and purple). In the presence of ATP-γ-S, recruitment of RPL41A and CAA 50-mer was 39-fold (0.019 ± 0.001 min⁻¹) and nearly 2-fold (2.3 ± 0.2 min⁻¹) slower, respectively, than in the presence of ATP; however, both mRNAs achieved endpoints of approximately 80%, consistent with previous observations that eIF4A is capable of utilizing ATP-γ-S (Peck and Herschlag, 2003). Taken together, these results suggest that ATP hydrolysis by eIF4A stimulates the recruitment of both a natural mRNA harboring structure throughout its sequence and the short unstructured CAA 50-mer.

Because of the importance of ATP hydrolysis for the ability of eIF4A to stimulate recruitment of both structured and unstructured mRNAs, we next investigated how the mRNA and PIC influence the ATPase activity of eIF4A and the eIF4A•4G•4E heterotrimer. Single turnover conditions in which the concentration of enzyme is saturating and greater than the concentration of the substrate, similar to those employed in the mRNA recruitment experiments above (Figure 1), would be ideal to study the ATPase activity for comparison. However, such an approach was technically not feasible because the low affinity of yeast eIF4A for ATP (Rajagopal et al., 2012) made it impossible to create conditions where eIF4A is saturating for ATP binding and stoichiometric to or in excess of ATP. Using saturating ATP under experimentally accessible concentrations of PIC and eIF4A led to a situation in which the first few turnovers of ATP hydrolysis produced by any possible eIF4A•PIC complexes would be below the limit of detection using either radioisotope or spectrophotometric ATPase assays. In addition, based on the high (~5 µM) concentration of eIF4A required to achieve maximal rates of mRNA recruitment, we also could not achieve a situation in which PICs were saturating over eIF4A because such concentrations of PICs are not experimentally achievable. Thus, we were not able to perform pre-steady state kinetic ATPase experiments. Instead, to inquire whether the ATPase activity of eIF4A is affected by the presence of the PIC, we used multiple turnover conditions in which [eIF4A] << [ATP] in the in vitro reconstituted translation initiation system. Although steady-state kinetics do not allow direct comparison to single-turnover mRNA recruitment assays, the approach still enables detection of the effects of other components of the system on repeated cycles of ATP hydrolysis by eIF4A and eIF4A•4G•4E. Thus, if the PIC in the absence of mRNA (i.e., prior to mRNA recruitment) or the presence of mRNA (i.e., during and after mRNA recruitment) promotes a state of eIF4A with altered ATPase activity, it should be possible to detect it using this approach.

ATPase was monitored with an enzyme-coupled assay in which pyruvate kinase and lactate dehydrogenase are used to regenerate ATP from ADP and, in the process, oxidize NADH to NAD⁺, producing a change in absorbance at 340 nm (Bradley and De La Cruz, 2012; Kiianitsa et al., 2003); (Figure 2—figure supplement 1A; see Materials and methods). eIF4A is an RNA-dependent ATPase, thus the presence of mRNA stimulates the rate of ATP hydrolysis. Reactions with varying concentrations of mRNA were assembled in a 384-well plate and initiated by addition of saturating ATP (5 mM). NADH absorbance at 340 nm was recorded every 20 s using a microplate reader. By titrating mRNA, we determined the first-order rate constant (k_cat) of ATP hydrolysis at saturating mRNA and ATP concentration, as well as the concentration of mRNA needed to achieve the half-maximal velocity of ATP hydrolysis ($K_m^{RNA}$). For eIF4A alone (5 µM) the k_cat was 0.48 ± 0.04 min⁻¹ (Figure 2A), comparable to a previously reported value of 0.20 ± 0.05 min⁻¹ (Rajagopal et al., 2012). Also, congruent with previous findings (Hilbert et al., 2011; Oberer et al., 2005; Rajagopal et al., 2012), the addition of co-purified full length eIF4G1 and eIF4E (eIF4G•4E) to eIF4A, forming the eIF4A•4G•4E heterotrimer, resulted in a 6.5-fold increase in the k_cat (Figure 2A, open squares vs. Figure 2B, closed squares). Whereas addition of saturating mRNA increased the ATPase activity of eIF4A alone by only 2-fold in the absence of eIF4G•4E (Figure 2A), a larger (15-fold) increase in k_cat occurred in the presence of eIF4G•4E (Figure 2B, closed squares).

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Individual k_cat measurements of ATP hydrolysis.

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Control ATPase reactions and individual measurements of ATPase activity with uncapped RPL41A.

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Addition of the PIC to eIF4A•4G•4E in the absence of mRNA increased the k_cat 24-fold over the value in the absence of the PIC (Figure 2B; compare closed circles and closed squares, respectively, at 0 µM mRNA). This enhancement could be due to the presence of rRNA and tRNA in the PIC components. However, at saturating concentrations of mRNA, the PIC components still enhanced the k_cat for ATP hydrolysis by eIF4A•4G•4E by 3.4-fold (Figure 2B, compare closed circles to closed squares), indicating that there is an enhancement of ATPase activity not due to non-specific stimulation by RNA but instead caused by one or more components of the PIC. Leaving out 40S subunits from the PIC components resulted in a 2-fold lower k_cat at saturating mRNA compared to the value observed in the presence of a Complete PIC (Figure 2B; compare closed and open circles). The fact that this value is less than the full 3.4-fold effect suggests that other components of the system can provide some modest activation of the ATPase of eIF4A•4G•4E in the absence of the Complete PIC. As described below, it is noteworthy that the PIC confers an ~6 fold increase in k_cat for eIF4A in the absence of eIF4G•4E, which is comparable to the ~4 fold increase conferred by eIF4G•4E itself (Figure 2C,D and Figure 2—figure supplement 1C,D; compare ‘4A’ to ‘Complete PIC – eIF4G•4E’ and ‘4A’ to ‘4A•4G•4E’). Replacing capped RPL41A mRNA with uncapped mRNA yielded similar results (Figure 2—figure supplement 1B), indicating that the 5'-cap is not critical for the observed stimulation by the PIC or mRNA.

In order to determine which components are responsible for this stimulation of the ATPase activity of eIF4A•4G•4E, we repeated the experiments at a saturating mRNA concentration (0.5 µM), omitting various components alone or in combination. We also varied the ATP concentration to determine both the k_cat (Figure 2C) and the concentration of ATP required to achieve the half-maximal velocity (${\displaystyle K_m^{ATP}}$) (Figure 2—figure supplement 1). The k_cat for eIF4A•4G•4E was 2.4 ± 0.1 min⁻¹ and adding the 40S subunit and TC (comprising eIF2, GDPNP, and Met-tRNA_i) – which alone are not sufficient to form the PIC – did not have any additional effect (Figure 2C, compare,‘4A•4G•4E’ and ‘TC, 40S, 4A•4G•4E’). However, as already noted in Figure 2B, adding the Complete PIC increased the k_cat by 3.4-fold to 8.2 ± 0.3 min⁻¹ (Figure 2C and Figure 2—figure supplement 1C, compare,‘4A•4G•4E’ and ‘Complete PIC’). Omission of eIF4A from an otherwise Complete PIC resulted in a ≥ 67 fold decrease in the rate of ATPase as compared to the Complete PIC (to the limit of detection of the assay), ruling out any significant ATPase contamination in any of the PIC components (Figure 2C, ‘−4A’).

As described above, leaving out 40S subunits from the PIC components resulted in a 2-fold lower k_cat at saturating mRNA compared to the value observed in the presence of a Complete PIC (Figure 2B; compare closed and open circles; and Figure 2C, ‘Complete PIC’ vs. '-40S'). This reduction is slightly less than the full 3.4-fold effect of the Complete PIC on the k_cat of eIF4A•4G•4E (Figure 2—figure supplement 1C). Similarly, leaving out eIF2 decreased the k_cat by ~2 fold (Figure 2C; compare solid red ‘Complete PIC’ to cross-hatched, light red ‘−40S’ and ‘−2’ bars), indicating that each of these core components of the PIC is needed for full stimulation, but suggesting that other components of the system can still provide some modest stimulation on their own. Leaving out eIF2 and the 40S subunit together had a similar effect. Omitting eIF3, which binds tightly to the 43S PIC (composed of eIFs 1, 1A, 3, 5, eIF2·GDPNP·Met-tRNA_i, and the 40S subunit,) and contacts both the 40S subunit and multiple factors, decreased ATPase stimulation by 2.5-fold (Figure 2C, compare solid red ‘Complete PIC’ bars to cross-hatched, light red ‘−3’ bar). The combined absences of 40S subunits and eIF3 resulted in a 2.7-fold decrease in k_cat as compared to the Complete PIC (Figure 2C; ‘−2,–40S’, ‘−3,–40S’), close to the full 3.4-fold activation, suggesting that eIF3 bound to a 43S PIC is the functional unit of activation. Consistent with this conclusion, eIF3 by itself was not sufficient to significantly increase the k_cat of eIF4A•4G•4E (Figure 2C, compare ‘eIF4A•4G•4E’, ‘3, 4A•4G•4E’ and ‘Complete PIC’).

In contrast to the core 43S PIC components and eIF3, leaving out eIF4B or eIF5 had no effect on the stimulation of the ATPase activity of eIF4A•4G•4E. Neither factor is required for formation of a stable PIC or binding of eIF3 to the complex, consistent with the proposal that it is the 43S PIC bound to eIF3 that stimulates the ATPase activity.

S. cerevisiae eIF3 is comprised of 5 core subunits and is involved in numerous steps of translation initiation, including mRNA recruitment. Previous studies showed that yeast eIF3 is essential for mRNA recruitment both in vitro (Mitchell et al., 2010) and in vivo (Jivotovskaya et al., 2006), and that it stabilizes TC binding and promotes PIC interactions with the mRNA at both the mRNA entry and exit channels of the 40S subunit (Aitken et al., 2016). In particular, the eIF3 subunits 3g and 3i have been implicated in scanning and AUG recognition in vivo (Cuchalová et al., 2010) and are required for recruitment of RPL41A mRNA in vitro (Aitken et al., 2016; Valásek, 2012). Both subunits are thought to be located near the path of the mRNA on the ribosome, at either the solvent or intersubunit face of the 40S subunit, and may undergo large alterations in position during initiation (Aylett et al., 2015; des Georges et al., 2015; Llácer et al., 2015). In the presence of PICs formed with the heterotrimer of eIF3 subunits 3a, 3b, and 3c – but lacking the 3g and 3i subunits – the k_cat was 3.9 ± 0.3 min⁻¹, which is similar to the rate constant observed in the absence of the entire eIF3 complex (Figure 2C and Figure 2—figure supplement 1C, ‘−3’ vs. ‘−3g, −3i’). Thus, although the heterotrimeric eIF3a•3b•3 c subcomplex binds to the PIC under our experimental conditions (Aitken et al., 2016) it does not increase the ATPase k_cat, indicating an important role for the eIF3i and eIF3g subunits in promoting ATPase activity. One possible scenario is that eIF3g and eIF3i interact with eIF4A near the mRNA entry channel of the 40S subunit, either directly or indirectly, and this interaction promotes ATP hydrolysis and mRNA recruitment.

We next asked if the PIC could stimulate the ATPase activity of eIF4A in the absence of eIF4G•4E. eIF4A on its own, in the presence of saturating RPL41A mRNA but in the absence of any PIC components or eIF4G•4E, had a k_cat of 0.58 ± 0.08 min⁻¹ in these experiments (titrating the concentration of ATP). Addition of the PIC, without eIF4G•4E, resulted in a 6-fold increase in k_cat over eIF4A alone (Figure 2D and Figure 2—figure supplement 1D; ‘4A’ vs. ‘Complete PIC −4G•4E’). Remarkably, this stimulation is even greater than the stimulation of eIF4A•4G•4E by the PIC (3.4-fold) and of eIF4A by the eIF4G•4E complex alone (4.0-fold; Figure 2—figure supplement 1C,D). In fact, in the presence of the PIC, eIF4G•4E only increases the k_cat for eIF4A by 2.3-fold (Figure 2C,D and Figure 2—figure supplement 1C,D; compare ‘Complete PIC’ and ‘Complete PIC – eIF4G•4E’), ~2 fold less than the effect of eIF4G•4E on eIF4A in isolation. Thus, the PIC components markedly enhance the activity of eIF4A even when it is not associated with the eIF4G•4E complex.

We next asked which PIC components are critical for this eIF4G•4E-independent stimulatory mechanism. Eliminating the 40S subunit, eIF2, eIF3, or the 3g and 3i subunits of eIF3 in the absence of eIF4G•4E abrogated all stimulation of ATPase activity, yielding k_cat values the same as those observed with eIF4A alone (~0.6 min⁻¹; Figure 2D, compare dark blue bar to light blue cross-hatched bars). These data suggest that stimulation of the ATPase activity of eIF4A, in the absence of eIF4G•4E, requires the complete 43S PIC and eIF3, in particular subunits 3i and 3g. This result suggests the possibility that eIF4A can interact directly with one or more components of the PIC – for example, eIF3i and 3g – independently of interactions that might be mediated by eIF4G; and its interactions with the PIC or eIF4G•4E confer comparable stimulation of eIF4A’s ATPase activity (6.0-fold vs. 4.0-fold).

Formation of the eIF4A•4G•4E complex reduces the K_m for ATP (${\displaystyle K_m^{ATP}}$) in ATP hydrolysis by an order of magnitude, from 2500 µM to 250 µM (Figure 2—figure supplement 1C,D, compare ‘4A’ to ‘4A•4G•4E’). In contrast to the effect of eIF4G•4E, adding the Complete PIC to eIF4A does not reduce the K_m for ATP; and, as might be expected, leaving out the 40S subunits, eIF2 or eIF3 from the PIC does not increase the K_m (Figure 2—figure supplement 1C,D). Thus, although both the PIC components and eIF4G•4E increase eIF4A’s k_cat for ATP hydrolysis, only eIF4G•4E reduces the K_m for ATP, suggesting different mechanisms of stimulation. The effect of eIF4G•4E is consistent with the proposal that eIF4G acts as a ‘soft clamp’ to juxtapose the two eIF4A RecA-like domains to enhance ATP binding and catalysis (Hilbert et al., 2011; Oberer et al., 2005; Schütz et al., 2008). By contrast, the PIC components apparently act in a manner that enhances the rate-limiting step of ATP hydrolysis.

The $K_m^{ATP}$values we measured for eIF4A alone are ~5 fold higher than those reported in the literature for yeast (Blum et al., 1992) and mammalian (Lorsch and Herschlag, 1998b; Pause et al., 1993; Rogers et al., 1999) eIF4A. Likewise, the $K_m^{ATP}$ value for eIF4A•4G•4E on its own was 2–3-fold higher than previously measured $K_m^{ATP}$values for yeast eIF4A•4G•4E (Rajagopal et al., 2012). Although we do not know the reason for these discrepancies, it is possible that they are due to differences in buffer conditions (Lorsch and Herschlag, 1998b) or to differences in the RNA used (e.g., poly(U) or poly(A) vs. a structured mRNAs; [Harms et al., 2014]). In addition, there are some known differences between the behavior of yeast and mammalian eIF4A, including tighter binding between eIF4A and eIF4G•4E in mammals, that could result in species-specific differences in kinetic parameters (Merrick, 2015).

Having established that ATP hydrolysis by eIF4A accelerates the rate of recruitment of both the natural mRNA RPL41A and an unstructured 50-mer made up of CAA-repeats (Figure 1) and that intact PICs activate steady-state ATP hydrolysis by eIF4A (Figure 2), we next set out to probe the effects of mRNA structure on the recruitment process and action of eIF4A. To this end, we created a library of in vitro transcribed and individually purified mRNAs spanning a range of structures and lengths. This library contains model mRNAs comprised almost entirely of CAA-repeats, containing or lacking a 9 base pair (bp) hairpin in the 5'-UTR, and/or a natural RPL41A mRNA sequence downstream of the AUG in place of CAA-repeats (Figure 3A; Supplementary file 1). The RPL41A sequence is expected to have structure throughout its length (Figure 1—figure supplement 1C). We measured the recruitment kinetics for each mRNA in the absence of eIF4A and as a function of eIF4A concentration (see ‘mRNA Recruitment Assay’ in Materials and methods) and determined the maximal rate (k_max) and concentration of eIF4A required to achieve the half-maximal rate ($K_{1/2}^{eIF4A}$) (Figure 3—figure supplement 1).

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Individual measurements of endpoints and rates of mRNA recruitmentment for mRNAs 1–10.

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Observed rates (k_obs) of mRNA recruitment for mRNAs 1–10 at varying concentrations of eIF4A.

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Using an eIF4A concentration determined to be saturating for all ten mRNAs (Figure 3—figure supplement 1), we observed recruitment endpoints between 85–95% with all mRNAs tested (Figure 3B, black bars). In the absence of eIF4A, however, the extent of recruitment varied widely among the mRNAs. Less than 10% of RPL41A mRNA was recruited in reactions lacking eIF4A (Figure 3B, RNA 10, red bar), consistent with the low levels of RPL41A recruitment we observed in the absence of ATP (Figure 1A). Varying the concentration of eIF4A yielded a k_max of 1.3 ± 0.1 min⁻¹ (Figure 3C) and $K_{1/2}^{eIF4A}$ of 3.7 ± 1.0 µM for recruitment of RPL41A mRNA (Figure 3—figure supplement 1B,E). In the absence of eIF4A, time courses with RPL41A mRNA could not be accurately fit with a single-exponential kinetic model due to low reaction endpoints. However, comparison of estimated initial rates (no eIF4A, 0.22 ± 0.07 min⁻¹; saturating eIF4A, 41 ± 1 min⁻¹) of recruitment of RPL41A revealed that recruitment proceeds two orders of magnitude more rapidly in the presence of saturating levels of eIF4A versus in the absence of eIF4A (Figure 3D, RNA 10).

Consistent with our observation that the unstructured CAA 50-mer mRNA is efficiently recruited even in the absence of ATP, we observed 74 ± 1% recruitment of this mRNA in the absence of eIF4A (Figure 3A–B, RNA 1, red bar). Nonetheless, the addition of saturating eIF4A increased the extent of recruitment to 87 ± 1% (Figure 3A–B, RNA 1, black bar) consistent with our observation that the addition of ATP and eIF4A slightly elevates the extent of recruitment of this mRNA above the levels observed in the absence of ATP or eIF4A (Figure 1B). Beyond this modest stimulation of recruitment extent, saturating eIF4A markedly accelerated the rate of CAA 50-mer recruitment, yielding a k_max of 6.2 ± 1.0 min⁻¹ (Figure 3C, RNA 1). The fold stimulation of the rate of mRNA recruitment by saturating eIF4A was calculated by dividing the k_max by the observed rate of recruitment in the absence of eIF4A (${\displaystyle {\mathsf{k}}_{\mathsf{o}\mathsf{b}\mathsf{s}}^{\mathsf{n}\mathsf{o}\mathsf{e}\mathsf{I}\mathsf{F}\mathsf{4}\mathsf{A}}}$) (Figure 3—figure supplement 1E), yielding an ~7 fold increase in the rate of CAA 50-mer recruitment by eIF4A (Figure 3D, RNA 1). Relative to RPL41A mRNA, this acceleration is achieved at lower levels of eIF4A ($K_{1/2}^{eIF4A}$ of 0.70 ± 0.2 µM vs. 3.7 ± 1.0 µM with RPL41A; Figure 3—figure supplement 1B,E, RNAs 1 and 10). Because K_1/2 is a kinetic constant and may reflect changes in rate-limiting steps from mRNA recruitment to a later step or combination of steps as the concentration of eIF4A is increased, the affinity of eIF4A for eIF4G•4E or for the PIC cannot be inferred from the $K_{1/2}^{eIF4A}$; however, the constant does give insight into the dependence of the rate of the reaction on the concentration of eIF4A, and how varying features of the system such as the degree of structure in the mRNA affect this dependence.

To compare the CAA 50-mer with a longer mRNA, we increased the total mRNA length to 250 nucleotides (250-mer) by adding 200 nucleotides of CAA-repeats downstream of the AUG (Figure 3A, RNA 2). In the absence of eIF4A, we observed 66 ± 10% extent of recruitment – which increased to >90% in the presence of eIF4A – comparable to the results seen for the CAA 50-mer in the absence of eIF4A (Figure 3B, red vs. black bars, RNA 1 vs. 2). The k_max was 3.3 ± 0.4 min⁻¹, approximately 2-fold lower than the k_max for the CAA 50-mer, whereas the $K_{1/2}^{eIF4A}$ values were indistinguishable for the two mRNAs (Figure 3—figure supplement 1E). Importantly, eIF4A strongly stimulated the rate of recruitment of this mRNA (as before, calculated by ${\displaystyle k_{max}/k_{obs}^{noeIF4A}}$); Figure 3—figure supplement 1E), in this case by 13-fold (Figure 3D, RNA 2). Similar results were obtained for two additional CAA-repeats 250-mers with the AUG situated 67 or 150 nucleotides from the 5'-end (Figure 3A, RNAs 3 and 4). These mRNAs had extents of recruitment of 60–70% in the absence of eIF4A, which increased to >90% in the presence of saturating eIF4A (Figure 3B, RNAs 3–4, red vs. black bars). Furthermore, the k_max for mRNA recruitment in the presence of saturating eIF4A (Figure 3C, RNAs 3–4) were 22- and 7-fold greater than ${\displaystyle {\mathsf{k}}_{\mathsf{o}\mathsf{b}\mathsf{s}}^{\mathsf{n}\mathsf{o}\mathsf{e}\mathsf{I}\mathsf{F}\mathsf{4}\mathsf{A}}}$ (Figure 3—figure supplement 1E; Figure 3D, RNAs 3–4). The k_max and ${\displaystyle k_{max}/k_{obs}^{noeIF4A}}$ values varied by ≤2 fold among RNAs 1–4. The reason for these differences is not clear, but does not seem to correlate with overall mRNA length or number of nucleotides 5' or 3' to the AUG. In summary, all four unstructured CAA-repeats mRNAs that we studied can be recruited by the PIC at appreciable levels independently of eIF4A, but eIF4A still stimulates their rates of recruitment by roughly an order of magnitude.

To probe the effects of defined, stable secondary structures on the functioning of eIF4A in mRNA recruitment, we examined 250-mer mRNAs comprising CAA-repeats throughout the sequence except for a single 21-nt insertion predicted to form a 9 bp hairpin of −10 kcal/mol stability (Zuker, 2003), situated in the 5'-UTR either proximal or distal to the 5'-cap (Figure 3A, RNAs 5–6, Key; Supplementary file 1). Both cap-proximal and cap-distal insertions of this 21-nt sequence into the 5'-UTR of a luciferase reporter conferred strong inhibition of reporter mRNA translation in yeast cells (Sen et al., 2016). We confirmed the presence and location of the single hairpin in RNAs 5 and 6 and absence of significant secondary structure in RNA 4 by incubating RNAs 4–6 at 26˚C with a 3'−5' RNA exonuclease, ExoT, specific for single-stranded RNA (Figure 3—figure supplement 2); (Deutscher et al., 1984; Zeng and Cullen, 2004).

To our surprise, in the absence of eIF4A, neither the cap-proximal nor the cap-distal hairpins significantly influenced the extent of recruitment, achieving endpoints between 70% and 80%, comparable to the unstructured CAA 50-mer and 250-mer RNAs (Figure 3B, RNAs 5–6 vs. 1–4). The k_max in the presence of eIF4A for both hairpin-containing mRNAs (RNAs 5–6) were ~2 fold lower than the k_max for the CAA 250-mers lacking the hairpin (RNAs 1–4) but the k_max values were 2–3-fold higher than the k_max for RPL41A (Figure 3C, RNAs 5–6 vs. 10). The $K_{1/2}^{eIF4A}$ values for RNAs 5 and 6 were 0.20 ± 0.01 µM and 0.10 ± 0.02 µM, respectively. eIF4A stimulated the rate of recruitment (${\displaystyle k_{max}/k_{obs}^{noeIF4A}}$) for both cap-proximal and cap-distal hairpin mRNAs but, surprisingly, to a lesser degree than in the absence of the hairpin: between 3- and 4-fold as opposed to 7-fold for RNA 4 containing an unstructured 5'-UTR of similar length (Figure 3D, RNA 4 vs. 5–6). Thus, at odds with the expectation that stable structures in the 5'-UTR would impose strong obstacles to mRNA recruitment to the PIC, we found that addition of a cap-proximal or cap-distal hairpin in the 5'-UTR of an otherwise unstructured mRNA confers little or no inhibition of the extent of recruitment and only a modest reduction in the rate, in the presence or absence of eIF4A. Moreover, the observation that these hairpins in the 5'-UTR actually decrease the enhancement of the rate of mRNA recruitment provided by eIF4A relative to what we observed with the unstructured mRNA (Figure 3D, RNAs 5–6 vs. 4) is not readily consistent with the idea that the factor's predominant function is to unwind stable secondary structures in the 5'-UTRs of mRNAs to facilitate PIC attachment. If this were the case, one might have expected larger rate enhancements for mRNAs with stable structures in their 5'-UTRs than for mRNAs containing little inherent structure, the opposite of what we actually observe. It is possible that eIF4A is not efficient at unwinding such stable structures, which results in a lower k_max and a lower degree of stimulation.

To probe further the effects of RNA structural complexity on mRNA recruitment and eIF4A function, we examined a chimeric mRNA comprising CAA-repeats in the 5'-UTR and the natural sequence (with associated structural complexity) from RPL41A 3' of the AUG start codon (Figure 3A, RNA 7). In the absence of eIF4A, this mRNA was recruited to the PIC with an observed rate (${\displaystyle {\mathsf{k}}_{\mathsf{o}\mathsf{b}\mathsf{s}}^{\mathsf{n}\mathsf{o}\mathsf{e}\mathsf{I}\mathsf{F}\mathsf{4}\mathsf{A}}}$) of 0.06 ± 0.01 min⁻¹, which is significantly slower than for RNAs 1–6 (~0.2–0.9 min⁻¹), but faster than the rate for full-length RPL41A mRNA, which as noted above could not be determined due to its low endpoint of recruitment (Figure 3—figure supplement 1B,E RNAs 1–6, 10 vs. 7). In contrast, in the presence of saturating eIF4A the k_max for RNA 7 was comparable to the k_max values observed with RNAs 2, 3, 5 and 6 and within 2-fold of the k_max values for RNAs 1 and 4. Thus, addition of eIF4A conferred an ~60 fold increase in the rate of recruitment for RNA 7 (i.e., ${\displaystyle k_{max}/k_{obs}^{noeIF4A}}$ = 3.4 min⁻¹/0.06 min⁻¹ = 57 fold), a greater degree of stimulation than observed with RNAs 1–6 (Figure 3D). These results indicate that eIF4A can efficiently resolve inhibition of mRNA recruitment mediated by RNA sequences on the 3' side of the start codon, which are not predicted to form stable secondary structures with the 5'-UTR (Figure 1—figure supplement 1D) (Zuker, 2003). In addition, the $K_{1/2}^{eIF4A}$ for RNA 7 (1.8 ± 0.9 µM) was approximately midway between the values determined for the various unstructured model mRNAs and RPL41A mRNA (compare RNAs 1–4, 7, and 10 in Figure 3—figure supplement 1E), suggesting that structure on the 3' side of the start codon increases the concentration of eIF4A required to maximally stimulate recruitment.

In contrast to the modest effects of the hairpins when present in the otherwise unstructured RNAs 5–6, both the cap-proximal and cap-distal hairpins were strongly inhibitory to mRNA recruitment in the absence of eIF4A when inserted into the unstructured 5'-UTR of the chimeric mRNA harboring RPL41A sequence 3' of the AUG codon, conferring very low reaction endpoints (≤20%; Figure 3B, RNAs 8–9, red bars) and rates (Figure 3—figure supplement 1E, ${\displaystyle {\mathsf{k}}_{\mathsf{o}\mathsf{b}\mathsf{s}}^{\mathsf{n}\mathsf{o}\mathsf{e}\mathsf{I}\mathsf{F}\mathsf{4}\mathsf{A}}}$, RNAs 8–9). Moreover, the presence of saturating eIF4A dramatically increased recruitment of both of these mRNAs to ~80% (Figure 3B, RNAs 8–9, black vs. red bars) and also increased their k_max values by approximately 10-fold (Figure 3D, RNAs 8–9). Thus, the hairpin insertions conferred the predicted strong inhibition of PIC recruitment and marked dependence on eIF4A in the context of the chimeric mRNA containing native RPL41A sequences, but not in an otherwise unstructured mRNA. We note however that stimulation of the recruitment rate by eIF4A (${\displaystyle k_{max}/k_{obs}^{noeIF4A}}$) was considerably less than the ~60 fold and ~190 fold increases observed for the chimeric mRNA lacking a hairpin (RNA 7) and for native RPL41A (RNA 10), respectively (Figure 3D, RNAs 8–9 vs. 7,10); and the k_max values for mRNAs 8–9 also remain well below the values for mRNA 7 and RPL41A mRNA (Figure 3C, RNAs 8–9 vs. 7 and 10). These differences might be explained by the inability of eIF4A to efficiently resolve these stable secondary structures, as already suggested above.

Comparing k_max values for RNA 4 to RNAs 5–9 shows that the combined effects of structures in the 5'-UTR and 3' to the AUG (in RNAs 8 and 9) is considerably more than the additive effects of either structural element alone (in RNAs 5–7) (Figure 3C, RNAs 4–9; Figure 3—figure supplement 1E). Whereas structures in the 5'-UTR (RNAs 5 and 6) or 3' to the start codon (RNA 7) on their own have 2–3-fold effects on k_max relative to the k_max for the unstructured RNA 4 (Figure 3—figure supplement 1E, compare k_max values for RNA 4 and RNAs 5–7: 6.2 min⁻¹ vs. 2.3-3.4 min⁻¹, respectively), combining them (RNAs 8 and 9) produces a ≥ 30 fold effect (Figure 3—figure supplement 1E, compare k_max values for RNA 4 and RNAs 8 and 9: 6.2 min⁻¹ vs. 0.16 min⁻¹ and 0.20 min⁻¹, respectively). Because the additive effects of structures in the 5'-UTR (RNAs 5 and 6) and structures 3' to the start codon (RNA 7) would only be ~6 fold (~2-fold X ~ 3 fold), the >30 fold effect observed by combining them indicates that structures in both regions synergistically inhibit the rate of mRNA recruitment. This synergy is also reflected in the dramatically reduced recruitment endpoints of RNAs 8–9 seen in the absence of eIF4A (Figure 3A,B, red bars; RNAs 4–7 vs. 8–9). It is possible that, in the absence of significant RNA structure on the 3' side of the AUG codon, PICs are able to load directly in the unstructured region containing the AUG codon located downstream of the stem loops in RNAs 5 and 6, in a manner only slightly encumbered by the stable hairpins (Agalarov et al., 2014). When the structured RPL41A mRNA is present beyond the start codon in RNAs 8 and 9, it may make this direct loading impossible, perhaps by sterically occluding or otherwise blocking access to the internal unstructured region, thereby forcing the PIC to attach near the 5'-cap and scan through the structured 5'-UTR to reach the AUG codon. This latter situation likely reflects the state of most (if not all) natural mRNAs, in which PICs do not have access to large segments of unobstructed, unstructured internal RNA on which to directly load.

The fact that eIF4A restores the extent of recruitment of RNAs 8 and 9 (Figure 3B, RNAs 8–9, black bars), albeit at relatively low recruitment rates, indicates that eIF4A can eventually resolve the synergistic inhibition produced by structures in the 5' and 3' segments of these messenger RNAs. It is noteworthy, however, that eIF4A gives considerably larger rate enhancements (Figure 3D) for the mRNAs harboring only native RPL41A sequences (RNAs 7 and 10) than those burdened with synthetic hairpins (RNAs 5–6 and 8–9), suggesting that eIF4A is better able to resolve the complex array of relatively less stable structures in RPL41A compared to a highly stable local structure in the 5'-UTR.

In general, mRNAs with the lowest ${\displaystyle {\mathsf{k}}_{\mathsf{o}\mathsf{b}\mathsf{s}}^{\mathsf{n}\mathsf{o}\mathsf{e}\mathsf{I}\mathsf{F}\mathsf{4}\mathsf{A}}}$ values had the highest $K_{1/2}^{eIF4A}$ values and those with higher ${\displaystyle {\mathsf{k}}_{\mathsf{o}\mathsf{b}\mathsf{s}}^{\mathsf{n}\mathsf{o}\mathsf{e}\mathsf{I}\mathsf{F}\mathsf{4}\mathsf{A}}}$ values had lower $K_{1/2}^{eIF4A}$ values (Figure 3—figure supplement 1E, compare RNAs 7–10 to RNAs 1–6). This observation suggests that the $K_{1/2}^{eIF4A}$ values reflect a shift in the rate-limiting step from eIF4A-stimulated mRNA recruitment to a later step (or combination of steps) in the pathway that is not dependent on eIF4A (Figure 3—figure supplement 3). In this model, as the concentration of eIF4A is increased, it decreases the rate-limiting barrier for mRNA recruitment (left hand barriers in Figure 3—figure supplement 3A,B) and consequently accelerates the rate of the reaction. Once this barrier is lowered below the level of the next highest barrier (right hand barriers in Figure 3—figure supplement 3A,B), no further increase in rate will be observed (i.e., the rate plateaus and apparent saturation is achieved) because the rate becomes limited by this second, eIF4A-independent step. If the eIF4A-dependent barrier is large – for example because the mRNA is highly structured – it takes more eIF4A to get to the point at which the eIF4A-independent step becomes rate-limiting because there is more energetic distance between the two barriers (Figure 3—figure supplement 3A). In contrast, if the first barrier is smaller, as expected for mRNAs with little structure, there is less energetic distance between the two barriers and a lower concentration of eIF4A is required to reduce the eIF4A-dependent barrier to the point at which the second, eIF4A-independent barrier becomes rate-limiting, and further increases in eIF4A concentration no longer increase the rate of recruitment. To explain the differences in k_max values, we posit that the second, eIF4A-independent barrier is higher for the more structured mRNAs, leading to the observed lower k_max values. An alternative model that is also consistent with the data is that even at very high concentrations eIF4A cannot fully reduce the RNA unwinding barrier for the highly structured mRNAs and thus the rate saturates before this barrier reaches the level of the barrier for the eIF4A-independent step (Figure 3—figure supplement 3C), leading to low k_max values. Even if the situation is more complicated than these simple interpretations, it seems unlikely that the $K_{1/2}^{eIF4A}$ values reflect binding affinities between eIF4A and any one component of the system. Instead, the changes in the $K_{1/2}^{eIF4A}$ values we observe are more likely to be providing information about the relative heights of kinetic barriers along the mRNA recruitment pathway as a function of the degree and distribution of structures in the mRNA.

To further understand the interplay between eIF4A•4G•4E, the PIC and the mRNA during the recruitment process, we inquired how the 5'-cap – which binds the heterotrimer via eIF4E – influences the requirement for eIF4A in recruitment of various RNAs. We have previously shown that the 5'-cap enforces the requirement for several eIFs, including eIF4A, in mRNA recruitment (Mitchell et al., 2010) and more recent work in the mammalian system provided evidence that the 5'-cap-eIF4E-eIF4G-eIF3-40S network of interactions is required to promote mRNA recruitment via threading of the 5'-end into the 40S entry channel (Kumar et al., 2016). As before, we monitored the kinetics of mRNA recruitment at various concentrations of eIF4A with capped or uncapped versions of mRNAs described above, including RNA 1 (CAA 50-mer), RNA 4 (CAA 250-mer), and RNA 7 (unstructured 5'-UTR with RPL41A sequence 3' of the AUG; Figure 4 and Figure 4—figure supplement 1). As summarized in Figure 4B, the k_max observed with saturating eIF4A was comparable with or without the 5'-cap for RNAs 1 and 7, and was 1.5-fold lower with the cap than without it for RNA 4. In contrast, in the absence of eIF4A, the rates of recruitment for uncapped versions of the unstructured model mRNAs 1 and 4 were 3.7- and 2.5-fold higher, respectively, than the rates of the corresponding 5'-capped mRNAs (Figure 4A,B; Figure 4—figure supplement 1, compare 0 µM eIF4A points in the inset graphs). This effect was even more pronounced for RNA 7, containing natural mRNA sequence 3' of the AUG, which was recruited 15-fold faster when uncapped versus capped in the absence of eIF4A. It is also noteworthy that the rate enhancement provided by eIF4A (Figure 4B, ${\displaystyle k_{max}/k_{obs}^{noeIF4A}}$) is larger in all cases for the capped mRNAs than the uncapped mRNAs, reaching an order of magnitude difference for RNA 7, and this effect is due almost entirely to the reduced rate in the absence of eIF4A for the capped versus uncapped mRNAs. Taken together, our data indicate that even for short mRNAs with low structural complexity, the 5'-cap inhibits recruitment in the absence of eIF4A, consistent with our previous observations with a natural mRNA and our proposal that the cap serves, in part, to enforce use of the canonical mRNA recruitment pathway (Mitchell et al., 2010). This effect could be due, in part, to the 5'-cap-eIF4E interaction directing the PIC to load at the 5'-end of the mRNA and impeding it from binding directly to downstream, unstructured RNA segments.

Figure 4 with 1 supplement see all

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Figure 4—source data 1

Rates of mRNA recruitment measured with capped and uncapped mRNAs in the presence of saturating eIF4A (k_max) or in the absence of eIF4A ($k_{obs}^{noeIF4A}$).

https://doi.org/10.7554/eLife.31476.017

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Figure 4—source data 2

Related to Figure 4—figure supplement 1.

Individual measurements of the observed rate of mRNA recruitment (k_obs) with uncapped mRNAs at various concentrations of eIF4A.

https://doi.org/10.7554/eLife.31476.018

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In the prevailing model of mRNA recruitment, eIF4F (eIF4A•4G•4E) is localized to the 5'-end of the mRNA via the eIF4E-cap interaction, where it collaborates with eIF4B to unwind structures in the 5'-UTR (Hinnebusch, 2014). Given the natural propensity of an mRNA to form structure it is difficult to envision how an mRNA could be unwound by eIF4F and eIF4B, released into the cytoplasm and then bound by the PIC without the mRNA reforming its structure. In another proposed model, eIF4F and eIF4B could interact with the PIC, forming a ‘holo-PIC’ (Aitken and Lorsch, 2012) that relaxes the mRNA and attaches to it synchronously. Some support for a model in which eIF4F interacts with the PIC to promote mRNA recruitment came from hydroxyl radical footprinting experiments that indicated mammalian eIF4G binds to the 40S subunit near the eukaryotic expansion segment 6 of the 18S rRNA (Yu et al., 2011). Other work has indicated that yeast eIF4B binds to the 40S ribosomal subunit (Walker et al., 2013) and modulates the conformation of the mRNA entry channel, and that mammalian eIF4B interacts with 40S subunit rRNA (Methot et al., 1996). These results also support the idea that the eIF4 factors play roles in mRNA recruitment that require binding to the PIC. In addition, in mammals (but not S. cerevisiae) eIF4G interacts with eIF3, which could serve to bring the eIF4F complex onto the PIC (des Georges et al., 2015). Our observation that the PIC stimulates the ATPase activity of eIF4A, both in the context of the eIF4F complex and in the absence of eIF4G•4E, indicates that eIF4A and eIF4F functionally interact with the PIC, and is consistent with the holo-PIC model. Remarkably, the 6-fold stimulation of eIF4A’s ATPase activity by the PIC observed in the absence of eIF4G•4E is comparable to the stimulation provided when eIF4A binds to eIF4G•4E to form the eIF4F complex (4–5-fold; [Rajagopal et al., 2012]).

Our data indicate that the Complete PIC is required for full ATPase activation of eIF4A, with the 3g and 3i subunits of eIF3 playing a particularly important role. These eIF3 subunits have been implicated in mRNA recruitment and scanning (Aitken et al., 2016; Cuchalová et al., 2010; Valásek, 2012), and structural data suggest that they are located near the mRNA entry channel of the 40S subunit, on either the solvent or intersubunit face (Aylett et al., 2015; des Georges et al., 2015; Llácer et al., 2015). The observation that these eIF3 subunits appear at distinct locations near the mRNA entry channel in complexes either containing or lacking mRNA has led to the speculation that they might participate in a large-scale rearrangement of the PIC important for either initial attachment to the mRNA or scanning along it (Llácer et al., 2015; Simonetti et al., 2016). Our observation that the eIF3g and eIF3i subunits are required for full stimulation of eIF4A’s ATPase activity is consistent with the possibility that eIF4A is located near the mRNA entry channel, where it can promote mRNA loading onto the PIC (Marintchev et al., 2009). Mammalian eIF3 is significantly larger and contains more subunits than the S. cerevisiae homolog (des Georges et al., 2015); however, both S. cerevisiae and mammalian eIF3 contain the core subunits a, b, c, g, and i.

A number of observations have suggested that the function of eIF4A is to unwind structures in the 5'-UTRs of mRNAs. In vitro, eIF4A can unwind model RNA duplexes (Andreou and Klostermeier, 2014; Blum et al., 1992; García-García et al., 2015; Grifo et al., 1983; Lorsch and Herschlag, 1998b; Ray et al., 1985; Rogers et al., 1999, 2001; Seal et al., 1983), albeit at a rate slower than necessary to support estimated rates of translation initiation in the range of 10 min⁻¹ in vivo (Palmiter, 1975; Shah et al., 2013; Siwiak and Zielenkiewicz, 2010). The factor is required in reconstituted translation systems for 48S PIC formation (Benne and Hershey, 1978; Pestova and Kolupaeva, 2002; Schreier and Staehelin, 1973), and in mammalian extracts the eIF4A-dependence of translation of different reporter mRNAs was correlated with their degree of 5'-UTR structure (Svitkin et al., 2001). On the other hand, mammalian eIF4A has also been shown to stimulate initiation in vitro on mRNAs with low degrees of 5'-UTR structure (Blum et al., 1992; Pestova and Kolupaeva, 2002), and it was shown to perform a critical function in 48S PIC formation on β-globin mRNA that could not be executed by other helicases (Dhx29 or Ded1) more effective than eIF4A in resolving stem-loop structures within 5'-UTRs (Abaeva et al., 2011; Pisareva et al., 2008). Recent results indicate that mammalian eIF4A is required for full accommodation of the 5'-UTR of β-globin mRNA in the mRNA entry channel of the 40S subunit (Sokabe and Fraser, 2017), and other evidence suggests that eIF4A is required to position eIF4E at the 40S entry channel for threading the capped 5'-end of the mRNA into the 40S subunit (Kumar et al., 2016). Ribosome profiling studies in yeast revealed that the vast majority of mRNAs display a similar, strong dependence on eIF4A for efficient translation, whereas mRNAs with long, structured 5'-UTRs generally exhibit a special dependence on the helicase Ded1 in addition to their general requirement for eIF4A (Sen et al., 2015). Thus, there is evidence in both mammalian and yeast systems that eIF4A has a general function in PIC attachment to mRNAs while also playing a role for particular mRNAs burdened with 5'-UTR structures. We employed the reconstituted yeast system to test this hypothesis.

We observed that ATP hydrolysis by yeast eIF4A accelerates recruitment of structured as well as unstructured mRNAs, and this acceleration does not correlate with the amount of secondary structure in the 5'-UTR. Taken together with our observation that the PIC accelerates ATP hydrolysis by eIF4A, one explanation for the ability of eIF4A to stimulate mRNA recruitment regardless of 5'-UTR structure would be that one function of eIF4A is to modulate the conformation of the 40S ribosomal subunit, as recently proposed by Sokabe and Fraser (Sokabe and Fraser, 2017). For instance, ATP hydrolysis by eIF4A, stimulated at least in part by eIF3 subunits, might act to open the mRNA entry channel, allowing the PIC to engage with and/or move along the mRNA (Figure 5A) – similar to the proposed function of mammalian helicase Dhx29 (Hashem et al., 2013; Pisareva et al., 2008).

Figure 5

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We observed that addition of native RPL41A mRNA sequence 3' of the start codon inhibits recruitment of mRNA to the PIC, even if the 5'-UTR is made up of CAA-repeats, and this inhibitory effect is ameliorated by eIF4A. This result is surprising because in the canonical model of initiation eIF4A functions to resolve structures in the 5'-UTR. We also found that, in combination, isolated hairpins in the 5'-UTR and structural complexity 3' of the AUG codon synergistically inhibit mRNA recruitment. Thus, structure created by elements beyond the 5'-UTR strongly influences the rate of mRNA recruitment to the PIC and eIF4A is able to diminish these inhibitory effects. We envision that the RPL41A sequences 3' of the AUG introduce an ensemble of relatively weak secondary or tertiary interactions that occlude the 5'-UTR and start codon and thus impede direct PIC attachment and AUG recognition, and that eIF4A can efficiently resolve these structural impediments. The RPL41A sequences might interact directly with the 5'-UTR or simply create structures that envelop it, sterically occluding access to the 5'-UTR and the start codon. In addition, RNAs longer than their persistence length inherently fold back on themselves (Chen et al., 2012), which could further serve to create a steric block to the 5'-UTR. By binding to single-stranded segments, eIF4A may serve to increase their persistence length, helping to untangle the messenger RNA. It is intriguing that eIF4A was 15- to 20-fold more effective in overcoming the inhibitory effect of the RPL41A sequences versus the 5'-UTR hairpins in the RNAs containing one or the other inhibitory element (RNA 7 vs. RNAs 5 and 6). This could be explained by proposing that eIF4A is more efficient at resolving the relatively weak interactions that contribute to the overall structure of an mRNA compared to highly-stable local structures. Indeed, only a handful of native mRNAs are known to possess stable hairpin structures in yeast cells (Rouskin et al., 2014), yet eIF4A is essential for translation of virtually all mRNAs in vivo. Moreover, it was shown that the DEAD-box RNA helicase Ded1 rather than eIF4A is required to overcome the inhibitory effects of stable hairpin insertions on reporter mRNA translation in vivo (Sen et al., 2015). Combined with these previous findings, our results support a model in which yeast eIF4A acts to disrupt moderately stable, transient interactions throughout an mRNA that sequester the mRNA 5'-UTR or start codon within the overall mRNA structure, whereas Ded1 is more effective in resolving stable, local secondary structures in the 5'-UTR or the initiation region of an mRNA.

A possible model for eIF4A function that seems consistent with previous studies in both mammalian and yeast systems and the results presented here is shown in Figure 5B. This model is not mutually exclusive with that depicted in Figure 5A in which eIF4A modulates the structure of the 40S ribosomal subunit. In the holistic model, eIF4A – which is present in large excess of ribosomes in vivo (Firczuk et al., 2013) – binds to an mRNA throughout its length (Lindqvist et al., 2008) and mediates the relaxation of local structures, helping to expose the 5'-cap. The eIF4F complex associates with the cap, the 5'-end of the mRNA and the PIC. Direct loading of the PIC onto the 5'-UTR near the start codon is not possible because the start codon is still occluded within the overall structural ensemble of the mRNA and because the cap-eIF4E interaction directs the PIC to the 5'-end. Interaction of the eIF4F complex with the PIC leads to an acceleration of ATP hydrolysis by the bound eIF4A. This hydrolysis event could mediate opening of the mRNA binding channel, as suggested in Figure 5A, and loading of the 5'-end of the mRNA into it. It would also result in a low affinity, ADP-bound state of eIF4A that would dissociate from the mRNA, eIF4G and the PIC. During loading of the mRNA, the eIF4E-eIF4G association with the cap may be disrupted, as proposed by Pestova and colleagues (Kumar et al., 2016). Movement of the PIC on the mRNA would then lead to its encountering a new eIF4A molecule, which could then associate with eIF4G. Association of the mRNA-bound eIF4A with eIF4G and the PIC would increase its ATP hydrolysis activity by 14-fold, which would again promote mRNA loading into the 40S subunit and dissociation of eIF4A•ADP. This cycle could repeat itself until the start codon is located. The successive cycles of PIC-eIF4G-eIF4A interaction at the entry channel followed by eIF4A dissociation posited in this model could bias the directionality of scanning in the observed 5'−3' direction (Spirin, 2009). In addition, the cycling of eIF4A molecules into and out of the complex at each step is consistent with previous observations that an ATPase deficient mutant of eIF4A acts in a dominant-negative fashion to inhibit translation initiation in vitro (Pause et al., 1994), as the mutation would block dissociation of eIF4A molecules when they encounter eIF4G in the scanning PIC, and thereby impede progression through the 5'-UTR. Although speculative, this model brings together previous results in the field with our observations that the PIC stimulates ATP hydrolysis by eIF4A and eIF4F, that eIF4A accelerates recruitment of mRNAs regardless of their degree of structure, and that structure throughout the length of mRNAs inhibits recruitment in a manner relieved by eIF4A. It builds upon previous models for eIF4F function (Yoder-Hill et al., 1993).

As noted above, there is considerable evidence that mammalian eIF4A can promote PIC attachment and scanning by unwinding stable secondary structures in mRNA 5'-UTRs (Pestova et al., 1996; Svitkin et al., 2001), and this function might be more prominent in mammalian cells than in yeast. However, even in yeast there is evidence that mRNAs with longer, more structure-prone 5'-UTRs have a heightened requirement for eIF4A, just not to the same extent observed for Ded1 (Sen et al., 2015). Thus, in addition to the broader functions depicted in Figure 5, eIF4A likely also cooperates with other helicases in resolving stable secondary structures (Gao et al., 2016) in 5'-UTRs during PIC attachment and scanning, both in mammals and yeast. The fact that eIF4A is not required for 48S PIC assembly with certain internal ribosome entry sites (IRESs), for example that of hepatitis C virus (Pestova et al., 1998b; Spahn et al., 2001), can be explained by proposing that IRES interactions with the 40S subunit evoke a conformational change in the ribosome that enables the initiation region of the mRNA to bind directly into the mRNA binding cleft, bypassing all proposed functions of eIF4A in PIC attachment and scanning (Doudna and Sarnow, 2007).

Regardless of the model, the events we observe in our mRNA recruitment assay reflect only the first engagement of a PIC with a messenger RNA. Once multiple ribosomes have been loaded onto an mRNA to form a polysome, the structure of the mRNA presumably changes dramatically, and structures on the 3' side of the start codon would play a different role than they do in early rounds of initiation. Future studies of initiation events on polysomal mRNA might reveal interesting differences from the starting phase of translation.

ATP, GTP, CTP, and UTP (products 10585, 16800, 14121, 23160, respectively) were purchased from Affymetrix (Santa Clara, CA). [α-³²P]-GTP was from PerkinElmer (product BLU006H250UC) (Waltham, MA). ATP-γ-S, ADPCP, and ADPNP (products A1388, M7510, and A2647, respectively), S-adenosyl methionine (SAM) (product A7007), and the pyruvate kinase (900–1400 units/mL)/lactate dehydrogenase (600–1000 units/mL) mix from rabbit muscle (product P0294) were from Sigma (St. Louis, MO). NADH disodium salt was from Calbiochem (product 481913) (San Diego, CA). Phosphoenolpyruvate potassium salt was purchased from Chem Impex International, Inc. (product 09711) (Wood Dale, IL). RiboLock RNase inhibitor was from Thermo Fisher Scientific (product EO0381) (Waltham, MA). The RNeasy RNA purification kit was purchased from Qiagen (product 74106) (Germany). Exonuclease T was purchased from New England Biolabs (product M0265S) (Ipswich, MA). The Abnova Small RNA Marker was purchased from Abnova (product number R0007) (Taiwan). SYBR Gold nucleic acid gel stain (product S11494) and Novex 15% TBE-Urea gels (product EC68852BOX) were purchased from Thermo Fisher Scientific. Corning 384-well plates were purchased from VWR International (product 3544) (Radnor, PA).

Eukaryotic initiation factors – eIFs 1, 1A, 2, 3, 4A, 4B, 4E•4G, and 5 – as well as mRNA were prepared as described previously (Walker et al., 2013). tRNA_i was charged with methionine as described previously (Walker and Fredrick, 2008). Following charging, Met-tRNA_i was separated from contaminating ATP and other nucleotides (left over from the charging reaction) on a 5 mL General Electric (GE) desalting column equilibrated in 30 mM Sodium Acetate (NaOAc), pH 5.5. This step was essential in order to measure the ATP dependence of mRNA recruitment and to accurately control the concentration of ATP in experiments. The Met-tRNA_i and free nucleotide peaks were confirmed with individual standards prepared identically to a charging reaction. Eluted Met-tRNA_i was precipitated with 3 volumes of 100% ethanol at –20°C overnight, pelleted, and resuspended in 30 mM NaOAc, pH 5.5.

mRNAs were capped as described previously (Aitken et al., 2016). Briefly, RNAs 2–10 at 5 µM were combined with 50 µM GTP, 0.67 µM [α-³²P]-GTP, 100 µM S-adenosyl methionine (SAM), 1 U/µl RiboLock, and 0.15 µM D1/D12 vaccinia virus capping enzyme. RNA 1 was present at 50 µM in the reaction in the presence of 100 µM GTP, with all other conditions identical. Reactions were incubated at 37°C for 90 min and purified using the RNeasy (Qiagen) RNA purification kit.

In vitro mRNA recruitment assays were carried out as described previously with minor modifications (Aitken et al., 2016; Walker et al., 2013). All reactions were carried out at 26°C in ‘Recon’ buffer containing 30 mM HEPES-KOH, pH 7.4, 100 mM KOAc, 3 mM Mg(OAc)₂, and 2 mM DTT. 15 µl reactions contained final concentrations of 500 nM GDPNP•Mg²⁺, 300 nM eIF2, 300 nM Met-tRNA_i, 1 µM eIF1, 1 µM eIF1A, 30 nM 40S ribosomal subunits, 300 nM eIF3, 5 µM eIF4A, 50 nM eIF4G•eIF4E, 300 nM eIF4B, and 1 U/µL Ribolock RNase inhibitor (Thermo). To form the ternary complex (TC), GDPNP and eIF2 were incubated for 10 min, Met-tRNA_i was then added to the reaction and incubated an additional 7 min. The remainder of the components, except mRNA and ATP, were added to the TC and incubated for an additional 10 min to allow complex formation. In all cases when eIF4A was present together with eIF4G•4E, it is assumed that the heterotrimeric complex eIF4A•4G•4E (also known as eIF4F) was formed under experimental conditions (Mitchell et al., 2010). Reactions were initiated with a mix containing final concentrations of 15 nM mRNA and ATP•Mg²⁺. An alternative incubation scheme in which the mRNA, eIF4A, eIF4G•eIF4E and ATP•Mg²⁺were preincubated for 2 or 10 min prior to addition of the pre-formed PIC was also tested in order to determine if unwinding of the mRNA before engagement with the PIC would occur and lead to an increased rate of recruitment. However, this latter incubation scheme resulted in nearly identical k_max values as those measured using the scheme described above, with both RPL41A and the CAA 250-mer mRNAs (RNA 4; Figure 3A): 1 min⁻¹ for RPL41A and 4–6 min⁻¹ for the CAA 250-mer. Thus, the first incubation scheme was used in the experiments described in this manuscript.

Experiments varying the concentration of eIF4A were carried out in the presence of 5 mM ATP. Experiments varying ATP were carried out in the presence of 5 µM eIF4A. To take timepoints, 2 µl reaction aliquots were combined with 1 µl of 0.02% bromophenol blue and xylene cyanol dye in 40% sucrose containing a final concentration of a 25-fold excess of unlabeled mRNA (cold chase), identical to the labeled mRNA for that reaction. 2 µl of the chased reaction were immediately loaded and resolved on a native 4% (37.5:1) polyacrylamide gel using a Hoefer SE260 Mighty Small II Deluxe Mini Vertical Electrophoresis Unit at a potential of 200 volts for 50 min. The electrophoresis unit was cooled to 22°C by a circulating water bath. Gels and running buffer contained 34 mM Tris Base, 57 mM HEPES, 0.1 mM EDTA, and 2.5 mM MgCl₂ (‘THEM’). Gels were exposed to a phosphor plate overnight at –20°C, the plates visualized on a GE Typhoon 9500 FLA, and the fraction of recruited mRNA bands (48S complex) versus the total signal in the lane was quantified using ImageQuant software. Data were plotted and fit using KaleidaGraph 4.5 software. Recruitment time courses were fit to a single exponential rate equation: y = A*(1-exp(-k_obs*t)), where t is time, A is amplitude, and k_obs is the observed rate constant. Observed rates were plotted against the concentration of the titrant and fit to a hyperbolic equation: y = b + ((k_max*x)/(K_1/2+x)) where x is the concentration of the titrant, k_max is the maximal observed rate of mRNA recruitment when the reaction is saturated by the factor titrated (e.g., eIF4A), K_1/2 is the concentration of the factor required to achieve ½V_max, and b is the rate in the absence of the titrated factor (i.e., the y-intercept).

The NADH-coupled ATPase assay was adapted from previously described methods with some modifications (Bradley and De La Cruz, 2012; Kiianitsa et al., 2003). All ATPase experiments were carried out in 384-well Corning 3544 plates on a Tecan Infinite M1000PRO microplate reader at 26°C. Using a standard curve we determined that a 10 µL reaction with 1 mM NADH on a Corning 3544 microplate gives an absorbance of 1.23 Optical Density of 340 nm light (OD₃₄₀) in the microplate reader. OD₃₄₀ was measured every 20 s for 40 min, plotted vs. time for individual reactions, and fit to y = mx + b where m is the slope, x is time in min, and b is the y-intercept. Thus, m is OD₃₄₀ of NADH/min. It follows that,

Note that the absolute value of m (|m|) was used because the slope is a negative value due to loss of absorbance over time. NADH consumed is stoichiometric with ATP regenerated thus, mM NADH/min = mM ATP/min. k_cat was determined by dividing the velocity of ATP by enzyme (5 µM eIF4A) concentration (Fersht, 1999).

12 µl reactions (final volume) were assembled at final concentrations as follows: 1 mM GDPNP•Mg²⁺, 500 nM eIF2, 500 nM Met-tRNA_i, 1 µM eIF1, 1 µM eIF1A, 500 nM 40S ribosomal subunits, 500 nM eIF3, 5 µM eIF4A, 500 nM eIF4G•4E, 500 nM eIF4B, 500 nM eIF5, 5 mM ATP•Mg²⁺, 500 nM mRNA, and 1 U/µl RiboLock RNase inhibitor. In all cases when eIF4A was present together with eIF4G•4E, it is assumed that the heterotrimeric complex eIF4A•4G•4E (also known as eIF4F) was formed under experimental conditions (Mitchell et al., 2010). All incubations and experiments were performed at 26°C. PICs were formed at 2x of the final concentration in 1x Recon buffer, in the absence of mRNA and ATP. PIC formation was initiated by incubating eIF2 and GDPNP for 10 min, subsequently Met-tRNA_i was added to the reaction and incubated for another 7 min. Next, eIFs 1, 1A, 40S, 3, 5, 4A, 4B, 4G•4E, and RiboLock were added. Order of addition of eIFs did not make a difference. The reaction was incubated for 10 min to allow complex formation. Subsequently, the PICs were combined with the ‘Reporter Mix’ containing phosphoenolpyruvate, NADH, pyruvate kinase, and lactate dehydrogenase (added as a 10x stock of the final concentrations all in 1x Recon buffer) resulting in concentrations in the final reaction of 2.5 mM phosphoenolpyruvate, 1 mM NADH, and a 1/250 dilution of the pyruvate kinase (600–1,000 units/mL) and lactate dehydrogenase (900–1400 units/mL) mix (PK/LDH mix). Reactions were brought up to volume with 1x Recon buffer, such that when they were initiated by addition of mRNA (added as a 10x stock of the final concentration in 1x Recon) and ATP•Mg²⁺ (added as a 4x stock of the final concentration in 1x Recon buffer) the total reaction volume was 12 µl. 10 µl of the reaction were then immediately transferred to the microplate for analysis by the Tecan plate reader and changes in absorbance of 340 nm light were monitored over time, taking readings every 20 s for 40 min. Because the assay measures the slope of a straight line (i.e., multiple turnover conditions), the lag in time between initiating the reaction and start of the measurements by the plate reader has no effect on the results. Initiating the reactions using an injection, capable of monitoring rapid kinetics did not reveal any differences in results; that is, there was no evidence of a ‘burst’ phase in the initial part of the reaction. Increasing or decreasing the concentration of the PK/LDH mix by 3-fold did not influence the observed rate of ATP hydrolysis (Figure 2—figure supplement 1A), indicating that the rate of NADH oxidation is not limited by PK/LDH activity. Also, when ATP, eIF4A, or PK/LDH was absent from the reaction, there was no change in absorbance at 340 nm over 1 hr (Figure 2—figure supplement 1A).

In a 20 µl reaction 0.5 pmol/µl of RNA was incubated with 0.75 U/µl of RNase Exonuclease T in 1x NEB buffer 4 at 26°C for 18 hr. RNA (4 pmol total RNA per lane) was loaded and resolved on a Novex 15% Tris Borate EDTA Urea gel and stained with SYBR Gold nucleic acid gel stain, diluted 1/10,000, for 5 min and visualized on a General Electric Typhoon FLA 9500.

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

The authors would like to acknowledge Tom Dever and Nicholas Guydosh for their thoughtful and critical suggestions. This work was supported by the Intramural Research Program (JRL and AGH) of the National Institutes of Health (NIH).

1. Received: September 7, 2017
2. Accepted: November 23, 2017
3. Accepted Manuscript published: November 30, 2017 (version 1)
4. Version of Record published: December 12, 2017 (version 2)

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