Abstract
Little is known about the conservation of critical kinetic parameters and the mechanistic strategies of elongation factor (EF) Ts-catalyzed nucleotide exchange in EF-Tu in bacteria and particularly in clinically relevant pathogens. EF-Tu from the clinically relevant pathogen Pseudomonas aeruginosa shares over 84% sequence identity with the corresponding elongation factor from Escherichia coli. Interestingly, the functionally closely linked EF-Ts only shares 55% sequence identity. To identify any differences in the nucleotide binding properties, as well as in the EF-Ts-mediated nucleotide exchange reaction, we performed a comparative rapid kinetics and mutagenesis analysis of the nucleotide exchange mechanism for both the E. coli and P. aeruginosa systems, identifying helix 13 of EF-Ts as a previously unnoticed regulatory element in the nucleotide exchange mechanism with species-specific elements. Our findings support the base side-first entry of the nucleotide into the binding pocket of the EF-Tu·EF-Ts binary complex, followed by displacement of helix 13 and rapid binding of the phosphate side of the nucleotide, ultimately leading to the release of EF-Ts.
Keywords: GTPase, molecular dynamics, pre-steady-state kinetics, Pseudomonas aeruginosa (P. aeruginosa), translation elongation factor, elongation factor Ts, elongation factor Tu, catalytic mechanism, nucleotide binding, nucleotide exchange
Introduction
Elongation factor (EF)2 Tu is an essential protein present in all kingdoms of life. It is among the most abundant proteins in any given cell, representing up to 5% of the total cellular protein in Escherichia coli (1). In its active GTP-bound state, EF-Tu delivers aminoacyl-tRNA (aa-tRNA) to actively translating ribosomes in a codon-dependent manner (2). EF-Tu·GTP has a high affinity for aa-tRNA (KD ≈ 1 × 10−8 m (3)) and forms a ternary complex that can interact with the ribosome (4). Correct codon-anticodon recognition greatly stabilizes the ternary complex on the ribosome and activates GTP hydrolysis. Following formation of GDP and subsequent Pi release (5, 6), EF-Tu undergoes a large conformational change (7, 8) causing the release of the bound aa-tRNA followed by accommodation of the aa-tRNA into the 50S ribosomal A site. The intrinsic rate of GDP dissociation from E. coli EF-Tu is extremely slow (0.002 s−1 (9)), requiring the guanine nucleotide exchange factor EF-Ts (10) to facilitate the rapid conversion of EF-Tu·GDP into its active GTP-bound state and to maintain rates of protein synthesis (∼12 amino acids/s (11)) observed in vivo. Despite the critical cellular role of EF-Ts, its sequence is highly divergent among different bacterial species. Poor conservation of the primary sequence within bacterial EF-Ts sequences may give rise to differences in the enzymatic properties, raising the question of how and if the enzymatic properties are maintained among different bacterial EF-Tu·EF-Ts pairs. This is particularly interesting because the structure of the eukaryotic exchange factor is completely unrelated to its bacterial counterpart, whereas the respective structure for eEF1A remains similar to EF-Tu (12).
Based on the experimental approach used in previous studies to dissect the kinetic details of the interaction between EF-Tu, EF-Ts, and the functionally relevant nucleotides GDP and GTP (13–15) (Fig. 1), we performed a comparative mutational and rapid-kinetics analysis of the enzymatic properties of EF-Ts and EF-Tu from E. coli and the clinically relevant pathogen Pseudomonas aeruginosa. These two gram-negative bacterial species share 84 and 55% sequence identity between their respective EF-Tu and EF-Ts, enabling us to investigate the conservation of the overall enzymatic strategy for nucleotide exchange and the respective kinetic parameters among closely related species. In particular, it is interesting that EF-Ts from P. aeruginosa contains an extended C-terminal helix that interacts with a low conservation region on EF-Tu and that may play a functional role during nucleotide exchange.
FIGURE 1.
Kinetic mechanism of nucleotide exchange in EF-Tu.
Results
Nucleotide Binding Properties of P. aeruginosa EF-Tu (k1, k−1, k5, and k−5)
Prior to a detailed investigation of the kinetic mechanism of P. aeruginosa EF-Ts mediated nucleotide exchange reaction, we first conducted a comparative analysis of the nucleotide binding properties of P. aeruginosa EF-Tu and E. coli EF-Tu. Rate constants for guanine nucleotide association and dissociation were determined using the stopped flow technique by measuring FRET between a single tryptophan in P. aeruginosa EF-Tu (Trp-40) or E. coli EF-Tu (Trp-184) and fluorescent methylanthraniloyl (mant)-labeled guanine nucleotides (13–15). Nucleotide dissociation rate constants were obtained in a chase experiment by mixing EF-Tu·mant-GTP/GDP with excess unlabeled guanine nucleotide. Consistent with a first-order reaction, dissociation of guanine nucleotides from EF-Tu occurs with an observed single-exponential decay (Fig. 2, A and B). Rate constants (k−5 and k−1 for GTP and GDP) were directly obtained by fitting the observed time courses with a single-exponential function (Equation 1 under “Experimental Procedures”) and are summarized in Table 1. Despite the high degree of sequence conservation between P. aeruginosa and E. coli EF-Tu, dissociation of GDP and GTP from P. aeruginosa EF-Tu (k−1 = 0.0007 ± 0.0001 s−1, k−5 = 0.007 ± 0.001 s−1) is slightly slower than from E. coli EF-Tu (k−1 = 0.0018 ± 0.0001 s−1, k−5 = 0.013 ± 0.001 s−1).
FIGURE 2.
Interaction of mant-GTP and mant-GDP with EF-Tu. A, time course of E. coli EF-Tu·mant-GTP (0.3 μm) complex dissociation (curve 1), P. aeruginosa EF-Tu·mant-GTP (0.3 μm) complex dissociation (curve 2), and mant-GTP (3 μm) fluorescence over time (curve 3). B, time course of E. coli EF-Tu·mant-GDP (0.3 μm) complex dissociation (curve 1), P. aeruginosa EF-Tu·mant-GDP (0.3 μm) complex dissociation (curve 2), and mant-GDP (3 μm) alone (curve 3). C, concentration dependence of kapp values of mant-GTP binding to 0.3 μm E. coli EF-Tu (■) and 0.5 μm P. aeruginosa EF-Tu (□). D, concentration dependence of kapp values of mant-GDP binding to 0.3 μm E. coli EF-Tu (●) and 0.5 μm P. aeruginosa EF-Tu (○).
TABLE 1.
Kinetic parameters governing the nucleotide interaction with EF-Tu

a Association rate constants determined from slope of linear concentration dependence of kapp. The values are means ± S.D. of linear fitting.
b Dissociation rate constants determined in chase experiments.
c Kd calculated from k−1/k1.
d Kd calculated from k−5/k5.
To determine the rate constants of GTP and GDP association, guanine nucleotide association was measured using a constant concentration of nucleotide-free EF-Tu and increasing concentrations of mant-GTP or mant-GDP (Fig. 2, C and D). The respective apparent rate constants (kapp) at different nucleotide concentrations were determined from the obtained fluorescence time courses by fitting with a single-exponential function (Equation 1). The linear dependence of kapp on the concentration of mant-GTP/mant-GDP was used to determine the respective association rate constants (k5 and k1) from the slope of the concentration dependence. The values for P. aeruginosa and E. coli EF-Tu are summarized in Table 1 and indicate a 3-fold faster rate of mant-GTP association (k5) for P. aeruginosa EF-Tu but no difference in the mant-GDP association (k1) rate constants. These rate constants reveal 5- and 2.8-fold higher affinities (Kd) of mant-GTP and mant-GDP for P. aeruginosa EF-Tu when compared with E. coli EF-Tu (summarized in Table 1).
EF-Ts-mediated Nucleotide Dissociation
To maintain in vivo rates of protein synthesis, EF-Ts is required to enhance the low intrinsic rate of guanine nucleotide dissociation from EF-Tu. This becomes even more relevant for P. aeruginosa EF-Tu with its tighter binding to nucleotides compared with E. coli EF-Tu. The interaction of EF-Tu·GTP or EF-Tu·GDP with EF-Ts can be described as two consecutive steps: the formation of the EF-Tu·nucleotide·EF-Ts ternary complex followed by the release of the bound guanine nucleotide (Fig. 1).
To study the EF-Ts-catalyzed dissociation of guanine nucleotides from EF-Tu, experiments were carried out using mant-GTP/mant-GDP. Upon mixing of the respective preformed EF-Tu·mant-nucleotide complexes with EF-Ts, a single exponential fluorescence decrease reflecting the mant-GTP/mant-GDP dissociation was observed. At low concentrations of EF-Ts, kapp increases linearly with the EF-Ts concentration, consistent with the formation of the EF-Tu·mant-GTP/mant-GDP·EF-Ts ternary complex. At high concentrations of EF-Ts, the rate of the reaction reaches saturation and equals the rate constant of nucleotide dissociation, i.e. k−7 (GTP) or k−4 (GDP) (Fig. 3). To assess the interchangeability of EF-Ts from either E. coli or P. aeruginosa, the experiment was also performed with EF-Tu·mant-GTP/mant-GDP from each species in the presence of EF-Ts from E. coli or P. aeruginosa. (summarized in Tables 2 and 3). Consistent with previous reports, E. coli EF-Ts stimulates the dissociation of mant-GTP and mant-GDP from its EF-Tu more than 9,000-fold (k−7/k−5) and more than 130,000-fold (k−4/k−1), respectively. Similar to the E. coli system, mant-GTP and mant-GDP dissociation from P. aeruginosa EF-Tu is efficiently catalyzed by its own EF-Ts, more than 5000-fold (k−7/k−5) and 50,000-fold (k−4/k−1), respectively. However, dissociation of mant-GTP and mant-GDP from P. aeruginosa EF-Tu is accelerated only 700-fold (k−7/k−5) and 14,000-fold (k−4/k−1) by the E. coli exchange factor. In contrast to this, the P. aeruginosa exchange factor is able to stimulate the dissociation of mant-GTP and mant-GDP from E. coli EF-Tu. more than 21,000-fold (k−7/k−5) and 270,000-fold (k−4/k−1), respectively.
FIGURE 3.
Interaction of EF-Tu·GTP or EF-Tu·GDP and EF-Ts. A, concentration dependence of kapp values of E. coli EF-Ts binding to E. coli EF-Tu·mant-GTP (●), P. aeruginosa EF-Ts binding to E. coli EF-Tu·mant-GTP (○), P. aeruginosa EF-Ts binding to P. aeruginosa EF-Tu·mant-GTP(■), and E. coli EF-Ts binding to P. aeruginosa EF-Tu·mant-GTP (□). B, concentration dependence of kapp values of E. coli EF-Ts binding to E. coli EF-Tu·mant-GDP (●), P. aeruginosa EF-Ts binding to E. coli EF-Tu·mant-GDP (○), P. aeruginosa EF-Ts binding to P. aeruginosa EF-Tu·mant-GDP (■), and E. coli EF-Ts binding to P. aeruginosa EF-Tu·mant-GDP (□). Components were mixed at the final concentrations in parentheses: EF-Tu·mant-GTP/GDP (0.3 μm) and EF-Ts (1–30 μm). The values are means ± S.D. from 5 to 15 time courses.
TABLE 2.
Rate constants for the kinetic mechanism of nucleotide exchange in E. coli EF-Tu

a Association rate constants determined from slope of linear concentration dependence of kapp on EF-Ts. The values are means ± S.D. of linear fitting.
b Dissociation rate constants calculated from all other rate constants. The values are means ± S.D. of GDP and GTP pathway.
c Kd calculated from k−2/k2.
d Association rate constants calculated from initial slope of linear concentration dependence of kapp on EF-Ts. The values are means ± S.D. of fitting.
e Dissociation rate constants determined from the plateau of kapp versus GDP. The values are means ± S.D. of fitting.
f Kd calculated from k−3/k3.
g Association rate constants calculated from initial slope of linear concentration dependence of kapp versus GDP. The values are means ± S.D. of fitting.
h Dissociation rate constants determined from the plateau of kapp versus EF-Ts. The values are means ± S.D. of fitting.
i Kd calculated from k−4/k4.
j Kd calculated from k−6/k6.
k Kd calculated from k−7/k7.
m Determined previously from Ref 9.
TABLE 3.
Rate constants for the kinetic mechanism of nucleotide exchange in P. aeruginosa EF-Tu
The steps are as defined for Fig. 1.
| Step | EF-Ts (E. coli) | EF-Ts (P. aeruginosa) | EF-Ts (Q283M) | EF-Ts (Δ283) | EF-Ts (chimera) |
|---|---|---|---|---|---|
| s−1 | s−1 | s−1 | s−1 | s−1 | |
| k−4 | 10 ± 1 | 40 ± 10 | >40 | 3 ± 1 | >40 |
| k−7 | 5 ± 1 | 40 ± 2 | 190 ± 50 | 0.9 ± 0.1 | 25 ± 2 |
It is surprising that P. aeruginosa EF-Ts is able to catalyze the dissociation of guanine nucleotides from E. coli EF-Tu. more efficiently than the corresponding E. coli exchange factor. This is particularly astonishing because the interaction surface between EF-Tu and EF-Ts is highly conserved between the two species (Fig. 4A). The only exceptions to this are variations found within the C-terminal module (helix 13) of EF-Ts, pointing at a putative role for this helix during EF-Ts stimulated nucleotide dissociation from the EF-Tu·nucleotide·EF-Ts complex. The difference in sequence is subtle and includes a two-amino acid extension of helix 13 (Fig. 4B). The increased helix length and variation in its sequence might provide additional interactions between domain I of EF-Tu and helix 13 of P. aeruginosa EF-Ts that are not possible with the shorter E. coli helix.
FIGURE 4.

EF-Ts variants. A, structure and sequence conservation of EF-Tu and EF-Ts. The x-ray structure of the E. coli EF-Tu·EF-Ts complex (Protein Data Bank code 1EFU) shown in ribbon representation (EF-Tu in green and EF-Ts in red). E. coli EF-Tu helices are labeled with capital letters, and E. coli EF-Ts helices are labeled with numbers according to their succession from the N terminus to the C terminus of the protein. Yellow indicates positions in EF-Tu with non-conserved amino acids residues between the proteins from E. coli and P. aeruginosa. B, domain alignment of E. coli EF-Ts (N-terminal domain shown in orange, core domain in yellow, and the C-terminal domain in black) with P. aeruginosa EF-Ts (N-terminal domain shown in red, core domain in green, and the C-terminal domain in blue). Residue numbers for the domain boundaries are shown below the respective domains. The end of the C-terminal module sequence is shown on the right, and the name of each EF-Ts represented is given on the left. The substitution of Q283M is shown in the sequence (P. aeruginosa EF-Ts (Q283M)), highlighted in black. Residues corresponding to P. aeruginosa EF-Ts are denoted in blue, and residues corresponding to E. coli EF-Ts are denoted in black.
The Role of Helix 13 during Nucleotide Exchange
To dissect the role of helix 13 for the nucleotide exchange mechanism in EF-Tu, a C-terminal truncation variant, EF-Ts (Δ283), of P. aeruginosa EF-Ts (Fig. 4B) was constructed, and the kinetic parameters describing the interactions between EF-Tu, the EF-Ts variants, and guanine nucleotides were determined using the approach described above (summarized in Table 3). Consistent with a role of the C-terminal extension of helix 13 during EF-Ts-mediated nucleotide dissociation, the C-terminal truncation variant of P. aeruginosa EF-Ts (EF-Ts(Δ283)) stimulated GTP and GDP dissociation from P. aeruginosa EF-Tu 44-fold (k−7/k−7) and 13-fold (k−4/k−4) less efficiently than wild type EF-Ts, respectively (Fig. 5 and Tables 2 and 3). A similar effect (47- and 16-fold for GTP and GDP, respectively) was also observed for EF-Ts(Δ283)-mediated nucleotide dissociation from E. coli EF-Tu. Similar to the P. aeruginosa system, the effect is strongest for GTP dissociation, suggesting that this is a common feature of the C-terminal extension present in P. aeruginosa EF-Ts. The conserved relative effect is particularly interesting because this EF-Ts is able to facilitate 6–10-fold faster GTP (k−7/k−7) and GDP (k−4/k−4) dissociation in E. coli EF-Tu then in its P. aeruginosa counterpart. Overall the P. aeruginosa EF-Ts-stimulated nucleotide dissociation from E. coli EF-Tu was twice as fast (k−7/k−7 and k−4/k−4, respectively) as when stimulated by its own EF-Ts (Table 2). Thus, the C-terminal extension of helix 13 in EF-Ts from P. aeruginosa affects nucleotide dissociation from both its own EF-Tu and that of the E. coli to a similar extent, independent of the nucleotides present.
FIGURE 5.
EF-Ts catalyzed dissociation of guanine nucleotides. Concentration dependence of mant-GTP (A) and mant-GDP dissociation (B) from E. coli, as well as from P. aeruginosa (C and D, respectively) EF-Tu (final concentration, 0.3 μm) stimulated by increasing concentrations of E. coli EF-Ts (●), P. aeruginosa EF-Ts (○), EF-Ts(Δ283) (▾), EF-Ts(Q283M) (▴), and EF-Ts(Chimera) (♦). Apparent rate constants were obtained from individual fluorescence time courses by single-exponential fitting. The values indicated are means ± S.D. from 5 to 15 time courses.
To further investigate the role of the C-terminal extension for the nucleotide exchange mechanism, we replaced the last four residues in E. coli EF-Ts (SKQS) with the last six residues (VAATKQ) from P. aeruginosa, constructing a chimera of EF-Ts (EF-Ts(Chimera); Fig. 4B). Interestingly, the dissociation rate constants describing EF-Ts(Chimera)-catalyzed mant-GTP/mant-GDP from E. coli EF-Tu are k−7 = 120 ± 20 s−1 and k−4 = 380 ± 50 s−1 (Table 2) and are similar to wild type E. coli EF-Ts. However, the EF-Ts(Chimera) reduces the association rate constants for mant-GTP/mant-GDP binding (k7 and k4, respectively) to the EF-Tu.·EF-Ts complex 25- and 10-fold (Table 2). This effect is comparable with what we determined for k7 and k4 in the presence of P. aeruginosa EF-Ts (15- and 5-fold reduction, respectively), suggesting a role of the C-terminal helix in modulating the nucleotide association kinetics. Ultimately, given the unchanged dissociation rate constant, replacing the C-terminal residues in E. coli EF-Ts with those from P. aeruginosa lowers the nucleotide affinity for mant-GTP/mant-GDP (K7 and K4) to the EF-Tu.·EF-Ts complex 24- and 16-fold, making it similar to the affinity for the E. coli EF-Tu P. aeruginosa EF-Ts complex (Table 2). This is consistent with the fact that the EF-Ts(Chimera) is able to catalyze dissociation of mant-GTP/mant-GDP from P. aeruginosa EF-Tu more like the EF-Ts from P. aeruginosa. (Table 3), despite the fact that 98% of its sequence is identical to E. coli EF-Ts.
When comparing the interactions of the helix 13 residues in the structure of the EF-Tu·EF-Ts complex from E. coli (16) with the sequence of the P. aeruginosa factors, we observed that Met-278 within helix 13 of E. coli EF-Ts makes a number of hydrophobic contacts with Ala-29 and Thr-25 located close to the magnesium ion binding site in domain I of EF-Tu (16). These interactions might promote nucleotide binding through supporting the coordination of the magnesium ion by Thr-25. We therefore substituted Gln-283 in P. aeruginosa EF-Ts (which is the corresponding residue to E. coli Met-278) with Met (EF-Ts (Q283M); Fig. 4B). This substitution resulted in only slightly increased nucleotide dissociation rate constants for P. aeruginosa EF-Tu (Fig. 4B and Table 2 and 3). Interestingly, the nucleotide association was 3-fold (k4) faster for mant-GDP and 32-fold faster (k7) for mant-GTP (Table 2). Therefore, the substitution of Gln-283 mainly affects the association step and is most pronounced for GTP.
The Role of Helix 13 for Ternary Complex Stability
To determine whether helix 13 has a mechanistic role in the dissociation of EF-Ts from the EF-Tu·GTP/GDP·EF-Ts complex, a GTP/GDP titration against a fixed concentration of purified EF-Tu·EF-Ts complexes was performed similar to previous studies (13–15). The observed change in the intrinsic tryptophan fluorescence of EF-Tu reflects the dissociation of EF-Ts from the transiently formed EF-Tu·GTP/GDP·EF-Ts complex. The rates of EF-Ts dissociation were determined from time courses using a single-exponential fit and plotted as a function of increasing guanine nucleotide concentration (Fig. 6). At saturating concentrations of guanine nucleotide, where rebinding of EF-Ts is negligible and EF-Ts dissociation is not limited by guanine nucleotide binding, the rate constants for EF-Ts dissociating from the EF-Tu·GTP/GDP·EF-Ts ternary complex (k−6 and k−3) can be determined (Fig. 1 and Table 2). From the slope of the concentration dependence, the corresponding association rate constants (k6 and k3) can be calculated (9). The location of the tryptophan residue within P. aeruginosa EF-Tu did not allow for a detectable change in the tryptophan signal upon GDP-induced dissociation of the Tu·Ts complex. Therefore, k−3, k3, and k4 could not be determined for the respective P. aeruginosa EF-Tu-containing complexes.
FIGURE 6.
Nucleotide-induced dissociation of EF-Tu·EF-Ts complexes. A and B, GTP (A) and GDP (B) concentration dependence of kapp for EF-Tu·EF-Ts (0.5 μm) complex dissociation containing E. coli EF-Ts (●), as well as GTP (C) and GDP (D) dependence of kapp for EF-Tu·EF-Ts (0.5 μm) complex dissociation containing P. aeruginosa EF-Ts (○), EF-Ts(Δ283) (▾), EF-Ts(Q283M) (▴), or EF-Ts(Chimera) (♦). Apparent rate constants were obtained from individual fluorescence time courses by single-exponential fitting. The values are means ± S.D. from 5 to 15 time courses.
Using E. coli EF-Tu, we were able to compare the rate constants for dissociation of P. aeruginosa and E. coli EF-Ts from ternary EF-Tu·nucleotide·EF-Ts complexes. For both EF-Tu·GTP·EF-Ts and EF-Tu·GDP·EF-Ts complexes, the rates of EF-Ts dissociation (k−6 and k−3) were 2-fold slower than E. coli EF-Ts. A similar 2–3-fold (k3 and k6) effect was observed for the association rate constants for the binding of P. aeruginosa EF-Ts to both E. coli EF-Tu·GDP and EF-Tu·GTP (Table 2). Interestingly, the removal of the C-terminal extension in P. aeruginosa EF-Ts, EF-Ts(Δ283), increases the rate constants for dissociation from the GTP and GDP-complexes 19- and 13-fold (k−6 and k−3), respectively. When compared with wild type E. coli EF-Ts, the rate constants are 10- and 6-fold faster. These effects on the dissociation rate constants are stronger than for the association rate constants, where a 4-fold increase (k6) in association rate constant for the P. aeruginosa EF-Ts binding to E. coli EF-Tu·GTP suggests a role for helix 13 in the interaction with the GTP conformation of EF-Tu. Surprisingly, grafting the C-terminal six amino acid residues from P. aeruginosa on EF-Ts from E. coli has no effect on either the association or dissociation rate constants to the GTP (k6 and k−6) or GDP (k3 and k−3) conformation of E. coli EF-Tu (Table 2). However, substitution of Gln-283 with Met reduces the rate constant of P. aeruginosa EF-Ts dissociation from the EF-Tu·GTP·EF-Ts complex 5-fold (k−6) and increases the rate constant for binding 2-fold (k6), which results in a 10-fold increased affinity (K6) of EF-Ts(Q283M) to the E. coli EF-Tu·GTP complex. A similar 5-fold (k−3) decrease in the dissociation rate constant is also observed for the GDP containing ternary complex, which is accompanied by a small 1.5-fold (k3) reduction in the association rate constant. Based on this, the affinity of EF-Ts(Q283M) for the GDP-bound E. coli EF-Tu is affected in the similar direction by this single amino acid substitution in helix 13 but is less pronounced than for the GTP-containing complex and only 3-fold (K3) higher than wild type P. aeruginosa EF-Ts.
The Role of Helix 13 for EF-Tu·EF-Ts Binary Complex Stability
To investigate how the effects of altered C-terminal sequences in EF-Ts relate to the formation of the nucleotide-free binary EF-Tu·EF-Ts complex, we used the same approach as above monitoring the change of the intrinsic tryptophan fluorescence of E. coli EF-Tu (Fig. 7). The obtained values for k2 and k−2 are summarized in Table 2. In agreement with previously published data (9), k2 for the EF-Tu and EF-Ts complex from E. coli is 19 ± 5 × 106 m−1 s−1. On the other hand, the association rate constant for E. coli EF-Tu and EF-Ts from P. aeruginosa is slightly reduced (3.8-fold). The dissociation rate constant (k−2) for the EF-Tu·EF-Ts complexes can be calculated from the remaining rate constants in the kinetic mechanism (9, 15). Interestingly, k−2 for the E. coli EF-Tu·EF-Ts and the complex containing E. coli EF-Tu and EF-Ts from P. aeruginosa were 0.05 ± 0.04 s−1 and 0.0006 ± 0.0002 s−1, respectively (Table 2). This results in an affinity (K2) for the mixed E. coli/P. aeruginosa complex of 0.12 nm, which is 25-fold higher than for the E. coli EF-Tu·EF-Ts complex (K2 = 3 nm). Consistent with a role of the C-terminal extension in increasing the affinity of EF-Ts for EF-Tu, removing the last six amino acids from P. aeruginosa EF-Tu (K2 = 200 nm) reduces the affinity 1600-fold. This is mainly due to a 1000-fold increased dissociation rate constant (k−2) without a change in the corresponding association rate constant (Table 2). This trend is continued in the EF-Ts variant containing the last six amino acids of P. aeruginosa EF-Ts. Although the effect is less pronounced, the affinity of the EF-Ts(Chimera) to EF-Tu from E. coli is still 6-fold higher (K2) than wild type E. coli EF-Ts, mainly because of a 6-fold (k−2) decreased dissociation rate constant. Interestingly, the identity of the amino acid in position 283 of P. aeruginosa EF-Ts is not responsible for this effect, because this substitution variant has only a 2-fold lower (K2) affinity than wild type EF-Ts from P. aeruginosa.
FIGURE 7.
EF-Tu·EF-Ts interactions. Concentration dependence of the rate of EF-Tu·EF-Ts complex formation measured as fluorescence changes of Trp-184 in E. coli EF-Tu upon addition of E. coli EF-Ts (●) or P. aeruginosa EF-Ts (■) (A) and for P. aeruginosa EF-Ts (○), EF-Ts(Δ283) (▾), EF-Ts(Q283M) (▴), and EF-Ts(Chimera) (♦) (B). The rates were obtained by exponential fitting of single fluorescence time courses observed after rapid mixing of equal volumes of EF-Tu (1 μm) and EF-Ts containing solutions (means ± S.D. from 5 to 15 time courses).
Molecular Dynamics Simulations Reveal Destabilization of Helix F in EF-Tu by EF-Ts
Based on our kinetic analysis above, it is evident that the C-terminal module of EF-Ts (helix 13) strongly modulates the interaction between EF-Tu and guanine nucleotides. To obtain a structural understanding of this effect, all-atoms models of E. coli EF-Tu·EF-Ts and EF-Tu·EF-Ts (Chimera) were constructed and simulated using molecular dynamics similar to our previous studies (15, 17, 18). After constructing a model of the EF-Tu·EF-Ts(Chimera) complex, the C terminus of EF-Ts(Chimera) was subjected to simulated annealing to investigate which regions of EF-Tu it may interact with. Based on 20 independent annealing simulations, the C-terminal module of EF-Ts(Chimera) likely contacts EF-Tu either at the switch I region or helix F (near the base-side interactions of the nucleotide-binding pocket; Fig. 4A). Evidence suggests, however, that the switch I region of EF-Tu is disordered when bound to EF-Ts (16). Thus, differences in the structural dynamics between E. coli EF-Tu·EF-Ts and EF-Tu·EF-Ts(Chimera) complexes that can account for the observed differences in nucleotide interaction in vitro likely originate in the helix F region (Fig. 4A).
The MD simulations of these models were stable after 5 ns based on backbone root mean square deviation and root mean square fluctuation (RMSF) calculations (Fig. 8, A and B), and the overall dynamics of the complexes are largely similar (Fig. 8B). Throughout both simulations the C-terminal helix of EF-Ts remains in contact with the G-domain of EF-Tu. Interestingly, the amino acids following the C-terminal helix of EF-Ts show different dynamics in the E. coli EF-Tu·EF-Ts and EF-Tu·EF-Ts(Chimera) simulations. In the E. coli EF-Tu·EF-Ts complex, the three C-terminal amino acids (280–282) pack against the G-domain of EF-Tu (Fig. 9, A and C). In the EF-Tu·EF-Ts(Chimera) simulation, however, the five C-terminal amino acids (280–284) exhibit higher mobility and do not pack efficiently on EF-Tu (Fig. 9, B and D). This difference in the C termini of E. coli EF-Ts and EF-Ts(Chimera) is correlated with the stability of a nearby hydrogen-bonding network (Lys-37/Glu-185/Asp-181) in EF-Tu (Fig. 9, C and D).
FIGURE 8.

Molecular dynamics simulations. A, stability of molecular dynamics simulations of E. coli EF-Tu·EF-Ts and the E. coli complex containing EF-Ts(Chimera). The root mean square deviation was computed for the non-hydrogen backbone atoms of EF-Tu·EF-Ts (blue) and EF-Tu·EF-Ts(Chimera) (red) models during 20-ns MD simulations. B, the overall dynamics of EF-Tu·EF-Ts and EF-Tu·EF-Ts(Chimera) are similar in MD simulations. The RMSF of each Cα atom was measured every 2 ps from 10 to 20 ns of MD simulation. The RMSF is plotted as a function of amino acid for EF-Tu·EF-Ts (blue) and EF-Tu·EF-Ts(Chimera) (red). The shaded regions indicate the switch I region of EF-Tu and helices 10 and 11 of EF-Ts from left to right, respectively. The colored bar indicates EF-Tu (blue) and EF-Ts (yellow) as they are shown in Fig. 9.
FIGURE 9.
Helix 13 of EF-Ts(Chimera) interacts differently with the G domain of EF-Tu than E. coli EF-Ts. Snapshots of the EF-Tu·EF-Ts complexes were taken after 20 ns of MD simulation for E. coli EF-Tu·EF-Ts (A) and EF-Tu·EF-Ts(Chimera) models (B). C and D are close-ups of A and B, respectively, rotated by ∼90°. EF-Tu is colored blue, and EF-Ts is colored yellow. The C terminus of EF-Ts (from position 271 to the end) is represented as a surface. Amino acids Lys-27 and Glu-185, as well as the backbone atoms of amino acids Gly-180, Asp-181, and Ala-182 of EF-Tu are shown as sticks. Hydrogen bonds are represented as red dashed lines. The arrows in A and B indicate the location of the nucleotide-binding pocket in EF-Tu.
In E. coli EF-Tu·EF-Ts, the C-terminal amino acids of EF-Ts form hydrophobic interactions with the side chain of Lys-37, which appears to stabilize the hydrogen bond network formed by Lys-37, Glu-185, and Asp-181 (Fig. 9). Because the C-terminal amino acids in EF-Ts(Chimera) are mobile, they do not form the same hydrophobic interactions, and the resulting increase in mobility of the Lys-37 side chain destabilizes the Lys-37/Glu-185/Asp-181 hydrogen bonding network (Fig. 9). In quantitative terms, the hydrogen bond between Glu-185 and Asp-181 in helix F of EF-Tu is stable throughout the entire simulation of the E. coli EF-Tu·EF-Ts complex but only for 75% of the simulation of EF-Tu·EF-Ts(Chimera) (Fig. 10A).
FIGURE 10.

The N terminus of Helix F in EF-Tu exhibits increased structural dynamics when interacting with helix 13 of EF-Ts(Chimera). A, hydrogen bond distances were measured between the backbone atoms of Glu-185 and Asp-181 at the N terminus of helix F of EF-Tu in MD simulations of E. coli EF-Tu·EF-Ts and EF-Tu·EF-Ts(Chimera) and plotted as histograms. The red lines are fits to single (left) and double (right) Gaussian functions, demonstrating that the N-H(Glu-185) ··· O(Asp-181) hydrogen bond is only present in 76% of the analyzed frames for EF-Tu·EF-Ts(Chimera) compared with EF-Tu·EF-Ts. B, backbone dihedral angles were measured in MD simulations of E. coli EF-Tu·EF-Ts (top) and EF-Tu·EF-Ts(Chimera) (bottom). The values for each amino acid were plotted as a two-dimensional histogram of Φ versus Ψ. Each histogram is divided into bins with dimensions π/32 × π/32. Each bin was colored based on the occupancy from red (low occupancy) to yellow (high occupancy).
To investigate how the differential stabilities of this hydrogen-bonding network affect the structural dynamics of the complex, the Φ and Ψ angles for each amino acid in EF-Tu were plotted as a “Ramachandran histogram” (17). This analysis revealed highly flexible amino acids as those that occupied multiple conformations. Interestingly, the loop connecting helix E and helix F (Fig. 4A) in EF-Tu (Gly-180, Asp-181, and Ala-183) was found to be more flexible when bound to EF-Ts(Chimera) compared with E. coli EF-Ts (Fig. 10B). Because the N terminus of helix E interacts with the guanine base of the bound nucleotide, backbone destabilization of the loop between helix E and F may ultimately destabilize bound nucleotides. Taken together, our in vitro and in silico results suggest that the C terminus of EF-Ts(Chimera) destabilizes the loop between helixes E and F in EF-Tu, which compromises interactions between bound nucleotides and helix E, thus increasing the rates of nucleotide dissociation.
Discussion
Guanine Nucleotide Exchange in E. coli and P. aeruginosa EF-Tu
Kinetic parameters describing the interaction of the essential elongation factor Tu with guanine nucleotides are available for a number of different model systems, such as yeast and E. coli, revealing large functionally relevant differences in affinities (9, 19, 20). However, little is known about the conservation of these fundamental and functionally critical parameters in bacteria, particularly in clinically relevant pathogens such as P. aeruginosa. The rapid kinetics analysis performed here, comparing the nucleotide binding properties of EF-Tu from E. coli and P. aeruginosa, revealed that EF-Tu from P. aeruginosa binds GDP with subnanomolar and GTP with low nanomolar affinity. Compared with the well established parameters for E. coli (9, 15), the affinity is 3–5-fold higher for GDP and GTP, respectively. This effect is mainly due to a decreased rate constant for dissociation of the nucleotide from the factor, suggesting either that the nucleotide-bound state has lower energy than the corresponding E. coli complex or that the transition state energy is higher. Either way, this will have implications for the mechanistic strategies employed by the nucleotide release factor. Interestingly, the EF-Ts stimulated release of GTP or GDP is also 3–6-fold slower than in E. coli. Nevertheless, the strategy to equalize the dissociation rates for GTP and GDP (9) is maintained, as well as the 10-fold difference in dissociation rate of the nucleotide from the respective EF-Tu·nucleotide complex (9).
The high degree of sequence conservation between the two EF-Tu (84%, data not shown) raises questions regarding the structural and sequence origins of the observed differences in the nucleotide binding properties and how the P. aeruginosa EF-Ts is able to overcome them. Mapping the sequence differences between the two species onto the structure of the EF-Tu·EF-Ts complex from E. coli reveals that in addition to the conserved interactions between domains 1 and 3 of EF-Tu and EF-Ts, helix 13 of EF-Ts contains an extension that maps to a region on the surface of EF-Tu corresponding to helix F and E. Interestingly, this region contains the highest number of non-conserved residues between EF-Tu from E. coli and P. aeruginosa (Fig. 4A). A functional role of this interaction for fine-tuning the nucleotide binding properties in the EF-Tu·EF-Ts pair is consistent with our observation that removal of this region of the helix has a strong effect (16 to 44-fold decrease) not only on the EF-Ts stimulated nucleotide dissociation from P. aeruginosa EF-Tu but also from E. coli. This is in line with previous work that found that removal of the whole helix 13 affects nucleotide release (21). However, this study removed the helix completely, whereas in our work, only the C-terminal six amino acids were removed, pointing to a mechanistic role of this particular region in helix 13. Furthermore, the fact that the effect occurs in E. coli EF-Tu, as well as P. aeruginosa indicates that this mechanistic strategy is likely common in bacteria. This transferability is further supported by the effect of transplanting these six residues from P. aeruginosa EF-Ts onto E. coli EF-Ts. Notably, this chimera has the ability to increase the rate of EF-Ts stimulated nucleotide release using the E. coli exchange factor scaffold to the level observed for the P. aeruginosa factor, a surprising result given the low overall sequence conservation of the factors (55%, data not shown).
A more detailed mechanistic understanding of the role of the C-terminal segment of helix 13 during stimulated nucleotide release can be derived from the kinetic parameters describing the interaction in the heterologous system containing EF-Tu from E. coli and EF-Ts from P. aeruginosa. Here the P. aeruginosa EF-Ts performs as a “super” nucleotide release factor because it is able to catalyze nucleotide release more efficiently than the E. coli exchange factor, lowering the nucleotide affinity an additional 10-fold (K4) for GDP and over 30-fold (K7) for GTP. This additional destabilization of nucleotide binding is mainly achieved by destabilizing binding of the nucleotide to the EF-Tu·EF-Ts binary complex accompanied by a slight increase in the rate of nucleotide dissociation (Table 2). Reduction in the nucleotide association rate constant is more pronounced for GTP than for GDP. This effect can be attributed to the last six amino acids in helix 13 of EF-Ts, because the EF-Ts chimera contains just these residues from P. aeruginosa in an otherwise E. coli sequence background. This six-residue substitution essentially turns E. coli EF-Ts into a P. aeruginosa EF-Ts from a kinetics point of view. Interestingly, this effect does not have a nucleotide preference and does not involve nucleotide dissociation. Together with the structural dynamics data obtained from our MD simulations of the EF-Tu·EF-Ts(Chimera) binary complex, this suggests a model where the C-terminal end of helix 13 of EF-Ts interacts with helices E and F in EF-Tu, destabilizing the structure and increasing the flexibility of helix E. Because the N-terminal end of helix E is involved in nucleotide binding through hydrogen bonding of Ser-173 with the carbonyl oxygen of the nucleobase, this should ultimately lead to decreasing the nucleotide-binding energy. This is supported by our kinetic data showing 10- and 20-fold (k7) reductions in the nucleotide association (GDP and GTP) rate when comparing EF-Ts (Chimera) with wild type EF-Ts. A functionally relevant interaction network between helix 13 in the region of helix F and E is further supported by the observation that removal of the C-terminal extension selectively increases EF-Ts dissociation from EF-Tu. This suggests that the incoming nucleotide, when bound to the base-side of the binding pocket on EF-Tu, will stabilize the structural dynamics of the F-E helix network. In turn, this will induce dissociation of helix 13 from this region, which then is followed by disruption of the interaction that the N-terminal end of helix 13 makes with helix A and the phosphate side of the nucleotide-binding pocket (Fig. 4A).
Our observations lead to a model that supports the base side-first entry of the nucleotide into the binding pocket of the EF-Tu·EF-Ts binary complex, which will be followed by displacement of helix 13 and rapid binding of the phosphate side of the nucleotide, ultimately leading to the release of EF-Ts (Fig. 11). This model is consistent with SMD simulations inducing nucleotide dissociation via extraction of the phosphate side that shows the junction between helix F and helix E as highly flexible (17). It also provides a strategy for efficient discrimination between different nucleotides (adenine versus guanine), because these base side interactions must occur prior to complete accommodation of the nucleotide and the subsequent stabilization of binding by interactions with the nucleotide phosphates, which are energetically different for the di- and triphosphate forms. This ultimately allows the EF-Tu·EF-Ts complex to effectively screen the identity of the incoming nucleotide. Our findings demonstrate that the overall strategy for nucleotide exchange is likely conserved among different bacterial species and that alterations in the individual sequences and enzymatic properties of EF-Tu and EF-Ts seem to have evolved to compensate and to maintain the overall catalytic strategy of equalizing the dissociation rates (k−4 and k−7) for the nucleotide, maintaining a rate that is almost 10 times faster than the protein synthesis rate. Furthermore, the role of helix 13 identified here might explain how the corresponding structurally unrelated eukaryotic nucleotide exchange factor has evolved as helix 13 and eEF1Bα approach the nucleotide-binding pocket from the same side (12).
FIGURE 11.
Molecular mechanism of nucleotide base side-first entry into the EF-Tu·EF-Ts binding pocket followed by helix 13 displacement. The C-terminal end of helix 13 of the EF-Ts interacts with helices E and F, destabilizing the structure and increasing the flexibility of helix E. Base side-first entry of the nucleotide into the binding pocket allows for selection of the nucleotide by stabilization of the helix F-E network in the presence of guanine nucleotides, inducing dissociation of helix 13 and rapid binding of the phosphate side of the nucleotide leading to the release of EF-Ts.
In summary, we report for the first time that the nucleotide binding properties of EF-Tu vary even between closely related bacterial species, that nucleotide binding occurs via the base side-first entry into the nucleotide-binding pocket, and that fine-tuning of the initial base side entry kinetics via modulation of the structural dynamics of the respective side of the EF-Tu nucleotide-binding pocket by helix 13 of EF-Ts is the strategy used by bacterial EF-Ts to adjust for nucleotide binding affinity differences.
Experimental Procedures
Molecular Biology
All restriction enzymes used were purchased from Fermentas, and primers were obtained from Integrated DNA Technologies. For the recombinant expression of E. coli EF-Tu and EF-Ts, the previously reported constructs pKECAHIS (22), pCA24Ntsf (23), and pHK1Ts (13) were used.
Cloning of P. aeruginosa tufA and tsf
The EF-Tu encoding tufA gene was PCR-amplified from P. aeruginosa genomic DNA using Phusion polymerase (Finnzymes) utilizing the primers 5′-AGA GGA TCC CTG TCG TGG CTA AAG GA-3′ and 5′-ATG GCA GGA GCT CCG ATT ACT CGA-3′, introducing BamHI and SacI restriction sites (underlined). In a similar fashion the tsf gene coding for EF-Ts was amplified from P. aeruginosa genomic DNA, using the primers 5′-TTC CAT ATG GCA GAA ATT ACT GCA GC-3′ and 5′-CAG TCG AAT TCG TCT TTG TTA CTG-3′, with engineered NdeI and EcoRI restriction sites, respectively. The resulting PCR products were ligated into SmaI-digested pUC19 (New England BioLabs) using T4 DNA ligase (Invitrogen). The ligation mixture was transformed into subcloning efficiency E. coli DH5α cells (New England BioLabs). The resulting pUC19 constructs were digested with restriction enzymes corresponding to the recognition sequence introduced via the respective PCR primers. The resulting insert fragments were then ligated (T4 DNA ligase) into similarly digested pET28a to yield pET28tufPa and pET28tsfPa. Sequence and orientation was confirmed by DNA sequencing (Macrogen DNA Sequencing Services).
Mutagenesis
The single amino acid substitution variant of P. aeruginosa EF-Ts (Q283M) was generated via site-directed mutagenesis using the QuikChangeTM method (Stratagene). The QuikChangeTM method was also used for construction of the P. aeruginosa EF-Ts C-terminal deletion variant, EF-Ts(Δ283), by introducing a stop codon in position 283, as well as construction of the E. coli EF-Ts(Chimera) containing the last six amino acids of the P. aeruginosa EF-Ts. (EF-Ts(Q283M): forward primer, 5′-GCT GCT GAA GTT GCC GCT ATG GTA GCC GCC ACC AAG C-3′, and reverse primer, 5′-GCT TGG TGG CGG CTA CCA TAG CGG CAA CTT CAG CAG C-3′; EF-Ts(Δ283): forward primer, 5′-GCC GCT CAA TAA GCT TCC ACC AAG C-3′, and reverse primer, 5′-GCT TGG TGG AAG CTT ATT GAG CGG C-3′; and EF-Ts(Chimera): forward primer, 5′-GTT GCT GCC ATG GTA GCC GCC ACC AAG CAG TGC TTT GCC AAG G-3′, and reverse primer, 5′-CCT TGG CAA AGC ACT GCT TGG TGG CGG CTA CCA TGG CAG CAA C-3′). The positions of the respective mutations are given in bold type, and underlined nucleotides denote the restriction sites inserted via silent mutations used for screening (AcuI, HindIII, and NcoI, respectively). The resulting amplification products were transformed into E. coli DH5α (New England Biolabs) competent cells for propagation. The mutations were confirmed by sequencing (GeneWiz Inc.).
Protein Expression and Purification
EF-Tu and EF-Ts variants derived from P. aeruginosa were expressed in E. coli BL21-DE3 (Novagen) containing the respective plasmid. The cells were grown at 37 °C in LB medium supplemented with 50 μg/ml kanamycin to the mid-log phase (A600 = 0.6) and induced with 1 mm isopropyl thio-β-galactoside (BioBasic). The cells were grown for an additional 3 h at 37 °C, harvested by centrifugation (5000 × g for 10 min at 4 °C), and stored at −80 °C.
EF-Tu from E. coli was expressed in LB supplemented with 100 μg/ml ampicillin as described (24), and EF-Ts from E. coli (using plasmid pCA24Ntsf obtained from the ASKA collection (23)) was expressed in LB supplemented with 30 μg/ml of chloramphenicol. EF-Ts variants derived from E. coli were grown at 37 °C in LB medium supplemented with 100 μg/ml ampicillin. The cells containing the respective plasmid were grown to the mid-log phase (A600 = 0.6) and induced with 1 mm isopropyl thio-β-galactoside. Following induction the temperature was reduced to 25 °C for 2 h and then to 16 °C overnight. The cells were harvested by centrifugation as described above.
Similar purification procedures were followed for EF-Tu from E. coli and P. aeruginosa, as well as EF-Ts variants from P. aeruginosa and EF-Ts from E. coli (23). The cell pellets were resuspended in 7 ml of buffer A (50 mm Tris-Cl pH 8.0 (4 °C), 60 mm NH4Cl, 7 mm MgCl2, 300 mm KCl, 7 mm β-mercaptoethanol, 1 mm PMSF, 10 mm imidazole, 15% glycerol, and 50 μm GDP) per gram of cells and lysed with 1 mg/ml lysozyme. Cell debris was removed through centrifugation at 3000 × g for 30 min followed by 30,000 × g for 45 min using a JA-16 rotor (Beckman). The respective protein was purified from the cleared lysate (S30 extract) using affinity chromatography (7 ml of Ni2+-Sepharose resin (GE Healthcare) equilibrated with buffer A). The resin was washed three times with 50 ml of buffer A and four times with 50 ml of buffer B (buffer A with 20 mm imidazole). The protein was eluted in 10 washes of 7 ml of buffer C (buffer A with 250 mm imidazole). The obtained His6-tagged protein was then concentrated via ultrafiltration (Vivaspin 20, 30,000 MWCO for EF-Tu and Vivaspin 20, 10,000 MWCO for EF-Ts (Sartorius)) and further purified by size exclusion chromatography (XK26/100 column; Superdex 75 prep grade (GE Healthcare)) equilibrated in buffer E (Buffer A without GDP). Fractions were analyzed by SDS-PAGE, and those containing protein that was >90% pure were pooled, concentrated via ultrafiltration (see above), and stored at −80 °C. The final protein concentration was determined spectrophotometrically at 280 nm using a molar extinction coefficient of 32,900 m−1 cm−1 for EF-Tu (calculated using ProtParam (25)) and confirmed using Bradford Protein Assay (Bio-Rad).
EF-Ts variants from E. coli were purified using the following method. The cell pellets were resuspended in 7 ml of buffer E (25 mm Tris-Cl, pH 7.5 (4 °C), 50 mm NH4Cl, 10 mm MgCl2, 0.1% PMSF, and 50 μm GDP) per gram of cells and lysed with 1 mg/ml of lysozyme. Cell debris was removed via centrifugation as above to obtain a cleared lysate (S30 extract). The respective protein was purified from the cleared lysate using affinity chromatography (5 ml of chitin beads (New England BioLabs)) equilibrated with buffer E. The resin was washed three times with 50 ml of buffer E and five times with 50 ml of buffer F (20 mm Tris-Cl, pH 8.0 (4 °C), 50 mm NH4Cl, 0.1 mm EDTA and 50 μm GDP). Approximately 20 ml of buffer G (20 mm Tris-Cl, pH 8.0 (4 °C), 50 mm NH4Cl, 0.1 mm EDTA, 60 mm DTT, and 400 mm KCl) was added to induce release of EF-Ts caused by the cleavage of the intein fusion followed by incubation for ∼30 h at room temperature. The EF-Ts protein was eluted with 8 washes of 4.5 ml of buffer H (20 mm Tris-Cl, pH 8.0 (4 °C), 50 mm NH4Cl, 0.1 mm EDTA, 400 mm KCl, and 50 μm GDP). Elutions containing EF-Ts were pooled and concentrated via ultrafiltration (Vivaspin 20, 10,000 MWCO (Sartorius)) and subsequently subjected to size exclusion chromatography (XK26/100 column; Superdex 75 prep grade (GE Healthcare)) equilibrated in buffer A. The fractions were analyzed by SDS-PAGE, and those containing protein with a purity of >90% were pooled, concentrated via ultrafiltration (see above), and stored at −80 °C for further use. The final EF-Ts protein concentration was determined using Bradford protein assay (Bio-Rad).
Preparation of EF-Tu·mant-GDP and EF-Tu·mant-GTP
EF-Tu·GDP was incubated with a 10-fold molar excess of mant-GDP or mant-GTP in buffer A for 30 min at 37 °C. When mant-GTP was used, the incubations were carried out in the presence of 3 mm phosphoenolpyruvate and 0.1 mg/ml pyruvate kinase (Roche Diagnostics) to convert any nucleotide di-phosphate present into the nucleotide triphosphate form (26).
Preparation of Nucleotide-free EF-Tu and EF-Tu·EF-Ts
To promote the dissociation of GDP, which is tightly bound to EF-Tu and co-elutes with the factor during purification, EF-Tu·GDP was incubated in buffer I (25 mm Tris-Cl, pH 7.5 (20 °C), 50 mm NH4Cl, 10 mm EDTA) for 30 min at 37 °C. GDP and EF-Tu were separated using size exclusion chromatography (Acorn 10/300 GL column; Superdex 75 (GE Healthcare)) equilibrated in buffer J (25 mm Tris-Cl pH 7.5 (4 °C), 50 mm NH4Cl). To prepare the respective EF-Tu·EF-Ts complexes, EF-Tu·GDP was incubated with equimolar amounts of EF-Ts in buffer I and subsequently treated as described above.
Rapid Kinetics
Fluorescence stopped flow measurements were performed using a stopped flow apparatus (KinTek SF-2004), as described in Ref. 27. Tryptophan fluorescence was excited at 280 nm and measured after passing through LG-305-F cut-off filters (NewPort). Mant-nucleotides were excited via FRET from the single tryptophan (λex = 280 nm) present in EF-Tu and measured after passing through LG-400-F cut-off filters (NewPort).
The apparent rate for the bimolecular association of mant-nucleotides to nucleotide-free EF-Tu was determined by rapidly mixing 25 μl of nucleotide free E. coli EF-Tu (0.3 μm after mixing) or 25 μl of nucleotide free P. aeruginosa EF-Tu (0.5 μm after mixing) with 25 μl of varying concentrations of mant-nucleotides (ranging from 1 to 10 μm after mixing) to ensure pseudo-first order conditions. The experiments were carried out at 20 °C in buffer A. Fluorescence time courses were evaluated by fitting with a single exponential equation (Equation 1),
where F(t) is the fluorescence at time t, F∞ is the fluorescence signal at equilibrium, and k is the apparent rate constant of association (kapp) measured independently for each guanine nucleotide concentration. The apparent rate constants were then plotted as a function of nucleotide concentration.
The apparent rate for the bimolecular association of nucleotides to nucleotide free EF-Tu·EF-Ts was determined by rapidly mixing 25 μl of nucleotide free EF-Tu·EF-Ts (final concentration, 0.5 μm) with 25 μl of varying concentrations of guanine nucleotides (ranging from 2.5 to 1000 μm after mixing) at 20 °C in buffer A. Fluorescence time courses were fitted with Equation 1, and the values obtained were plotted as a function of increasing guanine nucleotide concentration.
Dissociation rate constants were determined by rapidly mixing 25 μl of EF-Tu·mant-GTP/mant-GDP (final concentration, 0.3 μm) with 25 μl of GTP/GDP (final concentration, 30 μm) at 20 °C in buffer A. The observed fluorescence time courses were fitted with Equation 1, and the resulting k provided the dissociation rate constant (k−1 and k−5 for GDP and GTP, respectively). Using similar conditions, the dissociation of mant-GTP/mant-GDP from 25 μl of EF-Tu·mant-GTP/GDP (0.3 μm after mixing) was stimulated with 25 μl of varying concentrations of EF-Ts (1–20 μm after mixing) at 20 °C in buffer A. The observed fluorescence time courses were fitted with Equation 1, providing the rate of nucleotide dissociation in the presence of different concentrations of EF-Ts, yielding k−7 and k−4 at saturation.
To determine the association rate constants (k2) for the EF-Tu·EF-Ts interaction, increasing concentrations of EF-Ts (final concentration, 1–5 μm) were mixed with nucleotide-free EF-Tu (final concentration, 1 μm), and the resulting decrease in tryptophan fluorescence was observed as a function of time. The resulting concentration dependence of the observed association rates yielded the respective k2.
Equilibrium binding constants (Kd) were calculated from the respective rate constants (k and k−). The corresponding error (σKd) was calculated using Equation 2.
![]() |
The calculations were performed using TableCurve (Jandel Scientific) and Prism (GraphPad Software).
Sequence Alignment
Protein primary sequences for EF-Ts and EF-Tu were obtained from the ExPASy website (Swiss-Prot database) (28), and the generated multiple sequence alignments (CLUSTALW (29)) were analyzed using GeneDoc (30).
Construction of EF-Tu·EF-Ts Models in Silico
A model of the E. coli EF-Tu·EF-Ts complex was constructed using the x-ray structure of this complex solved by Leberman and co-workers (16). This model lacked atomic coordinates for the N terminus (amino acids 1–8) and switch I regions of EF-Tu, which were presumably disordered in the crystal. A model for the N terminus of EF-Tu was obtained from the crystal structure of EF-Tu·GDPNP (7). The only conformation of switch I of EF-Tu available in the Protein Data Bank that is compatible with the presence of the C-terminal module of EF-Ts is found in a model of EF-Tu bound to the ribosome (31). The C terminus of EF-Ts(Chimera) was modeled by extending the E. coli EF-Ts model using Swiss-Pdb Viewer software (32). This model was solvated in a box of water molecules that extended 10 Å from the protein in each direction, and the aqueous system was minimized by relaxing the coordinates of protein, water, protein, and water in sequential energy minimization calculations for 10,000 steps each. A final all-atom minimization was performed until no change in total energy was measured over 1000 steps. To alleviate close contacts with the switch I region and generate a disordered conformation, the switch I and the N terminus were subjected to simulated annealing. During simulated annealing only the water molecules, the N terminus and switch I region of EF-Tu, as well as the C-terminal extension of EF-Ts(Chimera) (when present), were allowed to move. The melting phase involved heating the system from 100 to 1000 K by increasing the temperature 100 K every 5 ps. The system was maintained at 1000 K for 150 or 300 ps prior to cooling to 300 K by decreasing the temperature 10 K every 5 ps. Each cooling phase was performed 10 times with different random velocities to yield a total of 20 different cooling trajectories. After reaching 300 K, each trajectory was extended for an additional 150 ps at 300 K. Simulated annealing was performed with constant volume to maintain close proximity of water molecules and the protein elements. Following simulated annealing, the protein complex was solvated in a new box of water molecules, and the aqueous system was again minimized as before (see above). The electrostatic charge of the model was then neutralized by addition of 24 Na+ ions using the autoionize module in VMD (33).
Each model was then equilibrated in two independent simulations: at 300 and 350 K for 150 ps at 1 atm pressure using an NPT ensemble wherein the number of atoms, pressure, and temperature were kept constant. During equilibration the temperature was maintained using Langevin dynamics, and pressure was controlled by a Nosé-Hoover Langevin piston. At the start of each production phase simulation, the coordinates from the 350 K equilibration were cooled to 300 K by supplying the atomic velocities from the final step in the 300 K equilibration. Production phase simulations were carried out for 20 ns on each EF-Tu·EF-Ts model in an NPT ensemble; temperatures were maintained at 300 K by rescaling atomic velocities every 100 steps, and the Nosé-Hoover Langevin piston was used to maintain 1 atm pressure. All molecular dynamics simulations were carried out using the NAMD (34) software with a conservative step size of 0.5 fs/step and the CHARMM27 forcefield (35, 36).
Analysis of Molecular Dynamics Simulations
Snapshots of each MD simulation were saved every 2 ps, and trajectories were fitted by the software Carma (37) to remove water molecules, as well as any rotations of the protein complex or translation of the center of mass. All metrics in the simulation were measured in VMD (33) using scripts written in-house (15, 17). Further processing of MD data and subsequent plotting were performed using the software R (38). Quantitative analysis of hydrogen bonds was performed as previously described (15, 17).
Author Contributions
H.-J. W., E. D., and E. M. wrote the manuscript, E. D. performed all experiments, and E. M. all performed molecular dynamic simulations. H.-J. W. conceived and designed the study.
Acknowledgments
We thank Ute Kothe for critical reading of the manuscript, as well as Fan Mo, Adam Smith, and Emily Wilton for technical assistance.
This work was supported by National Science and Engineering Research Council Operating Grant 326979-2011 (to H.-J. W.), Canada Foundation for Innovation Grant 202588 (to H.-J. W.), an Alberta Innovates Technology Futures New Investigator Award (to H.-J. W.), and Alberta Innovates Technology Futures postgraduate scholarships (to E. M.), as well as resource allocations by Compute Canada and Westgrid. The authors declare that they have no conflicts of interest with the contents of this article.
- EF
- elongation factor
- aa-tRNA
- aminoacyl-tRNA
- mant
- methylanthraniloyl
- RMSF
- root mean square fluctuation
- MD
- molecular dynamics.
References
- 1. Arike L., Valgepea K., Peil L., Nahku R., Adamberg K., and Vilu R. (2012) Comparison and applications of label-free absolute proteome quantification methods on Escherichia coli. J. Proteomics 75, 5437–5448 [DOI] [PubMed] [Google Scholar]
- 2. Miller D. L., and Weissbach H. (1977) Factors involved in the transfer of aminoacyl transfer RNA to the ribosome. In Molecular Mechanisms of Protein Biosynthesis (Weissbach H., and Petska S., eds) pp. 323–373, University of Michigan Press, Ann Arbor, MI [Google Scholar]
- 3. Pingoud A., Gast F. U., Block W., and Peters F. (1983) The elongation factor-Tu from Escherichia coli, aminoacyl-transfer RNA, and guanosine tetraphosphate form a ternary complex which is bound by programmed ribosomes. J. Biol. Chem. 258, 14200–14205 [PubMed] [Google Scholar]
- 4. Rodnina M. V., Gromadski K. B., Kothe U., and Wieden H. J. (2005) Recognition and selection of tRNA in translation. FEBS Lett. 579, 938–942 [DOI] [PubMed] [Google Scholar]
- 5. Pape T., Wintermeyer W., and Rodnina M. V. (1998) Complete kinetic mechanism of elongation factor Tu-dependent binding of aminoacyl-tRNA to the A site of the E. coli ribosome. EMBO J. 17, 7490–7497 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Kothe U., and Rodnina M. V. (2006) Delayed release of inorganic phosphate from elongation factor Tu following GTP hydrolysis on the ribosome. Biochemistry 45, 12767–12774 [DOI] [PubMed] [Google Scholar]
- 7. Kjeldgaard M., and Nyborg J. (1992) Refined structure of elongation factor EF-Tu from Escherichia coli. J. Mol. Biol. 223, 721–742 [DOI] [PubMed] [Google Scholar]
- 8. Song H., Parsons M. R., Rowsell S., Leonard G., and Phillips S. E. (1999) Crystal structure of intact elongation factor EF-Tu from Escherichia coli in GDP conformation at 2.05 Å resolution. J. Mol. Biol. 285, 1245–1256 [DOI] [PubMed] [Google Scholar]
- 9. Gromadski K. B., Wieden H. J., and Rodnina M. V. (2002) Kinetic mechanism of elongation factor Ts-catalyzed nucleotide exchange in elongation factor Tu. Biochemistry 41, 162–169 [DOI] [PubMed] [Google Scholar]
- 10. Chau V., Romero G., and Biltonen R. L. (1981) Kinetic studies on the interactions of Escherichia coli K12 elongation factor Tu with GDP and elongation factor Ts. J. Biol. Chem. 256, 5591–5596 [PubMed] [Google Scholar]
- 11. Young R., and Bremer H. (1976) Polypeptide-chain-elongation rate in Escherichia coli B/r as a function of growth-rate. Biochem. J. 160, 185–194 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Andersen G. R., Pedersen L., Valente L., Chatterjee I., Kinzy T. G., Kjeldgaard M., and Nyborg J. (2000) Structural basis for nucleotide exchange and competition with tRNA in the yeast elongation factor complex eEF1A:eEF1Bα. Mol. Cell 6, 1261–1266 [DOI] [PubMed] [Google Scholar]
- 13. Dahl L. D., Wieden H. J., Rodnina M. V., and Knudsen C. R. (2006) The importance of P-loop and domain movements in EF-Tu for guanine nucleotide exchange. J. Biol. Chem. 281, 21139–21146 [DOI] [PubMed] [Google Scholar]
- 14. Wieden H. J., Gromadski K., Rodnin D., and Rodnina M. V. (2002) Mechanism of elongation factor (EF)-Ts-catalyzed nucleotide exchange in EF-Tu: contribution of contacts at the guanine base. J. Biol. Chem. 277, 6032–6036 [DOI] [PubMed] [Google Scholar]
- 15. Wieden H. J., Mercier E., Gray J., Steed B., and Yawney D. (2010) A combined molecular dynamics and rapid kinetics approach to identify conserved three-dimensional communication networks in elongation factor Tu. Biophys. J. 99, 3735–3743 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Kawashima T., Berthet-Colominas C., Wulff M., Cusack S., and Leberman R. (1996) The structure of the Escherichia coli EF-Tu·EF-Ts complex at 2.5 Å resolution. Nature 379, 511–518 [DOI] [PubMed] [Google Scholar]
- 17. Mercier E., Girodat D., and Wieden H. J. (2015) A conserved P-loop anchor limits the structural dynamics that mediate nucleotide dissociation in EF-Tu. Sci. Rep. 5, 7677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Rosler K. S., Mercier E., Andrews I. C., and Wieden H. J. (2015) Histidine 114 is critical for ATP hydrolysis by the universally conserved ATPase YchF. J. Biol. Chem. 290, 18650–18661 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Gromadski K. B., Schümmer T., Strømgaard A., Knudsen C. R., Kinzy T. G., and Rodnina M. V. (2007) Kinetics of the interactions between yeast elongation factors 1A and 1Bα, guanine nucleotides, and aminoacyl-tRNA. J. Biol. Chem. 282, 35629–35637 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Schümmer T., Gromadski K. B., and Rodnina M. V. (2007) Mechanism of EF-Ts-catalyzed guanine nucleotide exchange in EF-Tu: contribution of interactions mediated by helix B of EF-Tu. Biochemistry 46, 4977–4984 [DOI] [PubMed] [Google Scholar]
- 21. Zhang Y., Yu N. J., and Spremulli L. L. (1998) Mutational analysis of the roles of residues in Escherichia coli elongation factor Ts in the interaction with elongation factor Tu. J. Biol. Chem. 273, 4556–4562 [DOI] [PubMed] [Google Scholar]
- 22. Boon K., Vijgenboom E., Madsen L. V., Talens A., Kraal B., and Bosch L. (1992) Isolation and functional-analysis of histidine-tagged elongation-factor Tu. Eur. J. Biochem. 210, 177–183 [DOI] [PubMed] [Google Scholar]
- 23. Kitagawa M., Ara T., Arifuzzaman M., Ioka-Nakamichi T., Inamoto E., Toyonaga H., and Mori H. (2005) Complete set of ORF clones of Escherichia coli ASKA library (A complete set of E. coli K-12 ORF archive): unique resources for biological research. DNA Res. 12, 291–299 [DOI] [PubMed] [Google Scholar]
- 24. De Laurentiis E. I., Mo F., and Wieden H. J. (2011) Construction of a fully active Cys-less elongation factor Tu: functional role of conserved cysteine 81. Biochim. Biophys. Acta 1814, 684–692 [DOI] [PubMed] [Google Scholar]
- 25. Wilkins M. R., Gasteiger E., Bairoch A., Sanchez J.-C., Williams K. L., Appel R. D., and Hochstrasser D. F. (1999) Protein identification and analysis tools in the ExPASy Server. Methods Mol. Biol. 112, 531–552 [DOI] [PubMed] [Google Scholar]
- 26. Scolnick E., Tompkins R., Caskey T., and Nirenberg M. (1968) Release factors differing in specificity for terminator codons. Proc. Natl. Acad. Sci. U.S.A. 61, 768–774 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Shields M. J., Fischer J. J., and Wieden H. J. (2009) Toward understanding the function of the universally conserved GTPase HflX from Escherichia coli: a kinetic approach. Biochemistry 48, 10793–10802 [DOI] [PubMed] [Google Scholar]
- 28. Gasteiger E., Gattiker A., Hoogland C., Ivanyi I., Appel R. D., and Bairoch A. (2003) ExPASy: the proteomics server for in-depth protein knowledge and analysis. Nucleic Acids Res. 31, 3784–3788 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Larkin M. A., Blackshields G., Brown N. P., Chenna R., McGettigan P. A., McWilliam H., Valentin F., Wallace I. M., Wilm A., Lopez R., Thompson J. D., Gibson T. J., and Higgins D. G. (2007) Clustal W and Clustal X version 2.0. Bioinformatics 23, 2947–2948 [DOI] [PubMed] [Google Scholar]
- 30. Nicholas K. B., Nicholas H. B. J., and Deerfield D. W. (1997) GeneDoc: Analysis and visualization of genetic variation. Embnew. News 4 [Google Scholar]
- 31. Villa E., Sengupta J., Trabuco L. G., LeBarron J., Baxter W. T., Shaikh T. R., Grassucci R. A., Nissen P., Ehrenberg M., Schulten K., and Frank J. (2009) Ribosome-induced changes in elongation factor Tu conformation control GTP hydrolysis. Proc. Natl. Acad. Sci. U.S.A. 106, 1063–1068 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Guex N., and Peitsch M. C. (1997) SWISS-MODEL and the Swiss-Pdb Viewer: an environment for comparative protein modeling. Electrophoresis 18, 2714–2723 [DOI] [PubMed] [Google Scholar]
- 33. Humphrey W., Dalke A., and Schulten K. (1996) VMD: visual molecular dynamics. J. Mol. Graph. 14, 33–38 [DOI] [PubMed] [Google Scholar]
- 34. Phillips J. C., Braun R., Wang W., Gumbart J., Tajkhorshid E., Villa E., Chipot C., Skeel R. D., Kalé L., and Schulten K. (2005) Scalable molecular dynamics with NAMD. J. Comput. Chem. 26, 1781–1802 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Foloppe N., and Mackerell A. D. (2000) All-atom emperical force field for nucleic acids: I. parameter optimization based on small molecule and condensed phase macromolecular target data. J. Comput. Chem. 21, 86–104 [Google Scholar]
- 36. MacKerell A. D., Bashford D., Bellott M., Dunbrack R. L., Evanseck J. D., Field M. J., Fischer S., Gao J., Guo H., Ha S., Joseph-McCarthy D., Kuchnir L., Kuczera K., Lau F. T., Mattos C., et al. (1998) All-atom emperical potential for molecular modeling and dynamics studies of proteins. J. Phys. Chem. B 102, 3586–3616 [DOI] [PubMed] [Google Scholar]
- 37. Glykos N. M. (2006) Carma: A molecular dynamics analysis program. J. Comput. Chem. 27, 1765–1768 [DOI] [PubMed] [Google Scholar]
- 38. RCoreTeam (2013) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria [Google Scholar]









