we see in vivo, where protein synthesis is fast and
accurate, incorporating up to 10–20 amino acids per
second with an accuracy of one misincorporation per
3000 amino acid incorporations. How is the ribosome
solving this paradox?
A first hint gave the observation that the A site
occupation occurs in two steps as already mentioned
(see Figure 2B): a decoding step, where the selection of
the cognate ternary complex takes place, is followed by
an accommodation step. The
a
–1 model has integrated
this observation in the following way: the decoding
takes place at an A site with low affinity for tRNA,
which reduces the binding energy of the ternary complex
to mainly codon–anticodon interactions and excludes
contacts of the tRNA outside the anticodon and of EF-
Tu with the ribosome. In this state the free energy of
binding is small, and since it is restricted to codon–
anticodon interaction it is more or less identical with
the discrimination energy. This feature explains why the
majority of “noncognate” aa-tRNA (, 90% of the
aa-tRNA species) do not interfere with the decoding
process: their anticodon is different from that of
the cognate aa-tRNA, and interactions outside the
anticodon are prevented by the low-affinity A site.
This fast initial step is followed by an accommodation
step, where the aminoacyl-tRNA is tightly bound and
accommodated into the A site. This step is accompanied
by some gross conformational changes, since during this
step the E-site tRNA is released and the A site switches
into its high-affinity state. Therefore, the second step is
probably slow in comparison to the decoding the step.
The A site occupation is therefore a coupled system of
two reactions, the first of which is fast and the second
slow. An important consequence of this arrangement is
that the first runs at equilibrium even under steady-state
conditions and thus can exploit the discrimination
potential of the decoding process.
The reciprocal linkage between A and E site seems to
be a universal feature of ribosomes and has been demon-
strated not only in bacteria but also in eukarya (yeast).
After considering the competition cognate versus
noncognate aa-tRNAs, still a discussion on how
the ribosome discriminates between cognate and near-
cognate tRNAs arises. Two models have been proposed:
(1) the kinetic proofreading model, and (2) the
Potapov model.
In the late 1970s, stability measurements of anti-
codon:anticodon interactions within a complex of two
tRNAs have demonstrated that the corresponding energy
cannot explain a selection accuracy of better than 1:10.
Therefore, proofreading models have been developed
according to which the stability energy is exploited
several times in order to explain the observed accuracy
of aa-tRNA selection at the ribosomal A site of about
1:3000. One proofreading event requires one EF-Tu
dependent GTP hydrolysis, so that a measurement of
the number of GTPs hydrolyzed by EF-Tu per incorpor-
ation of a near-cognate amino acid indicates the
importance of proofreading for the selection process.
Precise measurements revealed that the importance of
proofreading is much less than originally thought, initial
binding of the ternary complex gives a precision of about
1:300 up to 1:1000, whereas the corresponding proof-
reading factor is not better than 1:10.
How initial binding is able to achieve such an
accuracy is explained by the Potapov model. This
model suggests that the decoding center on the ribosome
does not measure the stability of codon–anticodon
interaction, but rather the stereochemical correctness of
the three Watson– Crick base pairs, just as an enzyme
recognizes its substrate. With this assumption the
correct position of the sugar pucker contributes to the
accuracy, and it could be demonstrated that indeed
the 2
0
OH groups of the codon bases are of utmost
importance for the accuracy of the selection process.
The detailed molecular mechanism could be unra-
velled by the Ramakrishnan group who determined the
crystal structure of 30S subunits carrying either a cognate
or near-cognate anticodon stem-loop structures. Indeed,
the correct positions of the 2
0
OH groups of the codon–
anticodon complex is checked by forming hydrogen
bonds with universally conserved bases of the 16S rRNA
(Figure 3). The first base pair of codon–anticodon
interaction at the A site is analyzed via the so-called A-
minor motif type I and the second by an A-minor motif
type II (Figure 3B and 3C), whereas the third wobble
position has more freedom to accommodate also non-
Watson–Crick base pairs (Figure 3D). Furthermore, the
head and shoulder of the 30S subunit move relative to
each other defining an open and closed 30S configuration.
In the “open” configuration binding of cognate (but not
a near-cognate) substrate to the decoding center flips
out the bases A1492 and A1493 from the helix 44,
brings G530 from a “syn” into an “anti” conformation
(Figure 3A), and shifts the subunit into a “closed”
configuration providing a molecular basis for an under-
standing of mutations that increase or decrease accuracy.
A molecular dynamic simulation agrees with the main
conclusions and shows in addition that the kink between
the A and P site codons of about 1358 influences the
accuracy pattern.
AN ADDITIONAL ROLE OF EF-TU
It is well known that EF-Tu binds an aa-tRNA at the
amino acid acceptor stem thus shielding the labile ester
bond between the aminoacyl residue and the tRNA,
and delivers the aa-tRNA to the A site on the ribosome.
However, a second function of EF-Tu was identified by
Uhlenbeck and co-workers. Measuring the affinities of
various cognate aa-tRNA (e.g., Val-tRNA
Val
) and some
mispairs (e.g., Ala-tRNA
Val
) they recognized that either
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TRANSLATION ELONGATION IN BACTERIA