Decoding temporally encoded sensory input by cortical oscillations and thalamic phase comparators

The temporally encoded information obtained by vibrissal touch could be decoded “passively,” involving only input-driven elements, or “actively,” utilizing intrinsically driven oscillators. A previous study suggested that the trigeminal somatosensory system of rats does not obey the bottom-up order of activation predicted by passive decoding. Thus, we have tested whether this system obeys the predictions of active decoding. We have studied cortical single units in the somatosensory cortices of anesthetized rats and guinea pigs and found that about a quarter of them exhibit clear spontaneous oscillations, many of them around whisking frequencies (≈10 Hz). The frequencies of these oscillations could be controlled locally by glutamate. These oscillations could be forced to track the frequency of induced rhythmic whisker movements at a stable, frequency-dependent, phase difference. During these stimulations, the response intensities of multiunits at the thalamic recipient layers of the cortex decreased, and their latencies increased, with increasing input frequency. These observations are consistent with thalamocortical loops implementing phase-locked loops, circuits that are most efficient in decoding temporally encoded information like that obtained by active vibrissal touch. According to this model, and consistent with our results, populations of thalamic “relay” neurons function as phase “comparators” that compare cortical timing expectations with the actual input timing and represent the difference by their population output rate.

Glu-tRNAGln amidotransferase: A novel heterotrimeric enzyme required for correct decoding of glutamine codons during translation

The three genes, gatC, gatA, and gatB, which constitute the transcriptional unit of the Bacillus subtilis glutamyl-tRNAGln amidotransferase have been cloned. Expression of this transcriptional unit results in the production of a heterotrimeric protein that has been purified to homogeneity. The enzyme furnishes a means for formation of correctly charged Gln-tRNAGln through the transamidation of misacylated Glu-tRNAGln, functionally replacing the lack of glutaminyl-tRNA synthetase activity in Gram-positive eubacteria, cyanobacteria, Archaea, and organelles. Disruption of this operon is lethal. This demonstrates that transamidation is the only pathway to Gln-tRNAGln in B. subtilis and that glutamyl-tRNAGln amidotransferase is a novel and essential component of the translational apparatus.

Nonlinearity in genetic decoding: Homologous DNA replicase genes use alternatives of transcriptional slippage or translational frameshifting

The τ and γ subunits of DNA polymerase III are both encoded by a single gene in Escherichia coli and Thermus thermophilus. γ is two-thirds the size of τ and shares virtually all its amino acid sequence with τ. E. coli and T. thermophilus have evolved very different mechanisms for setting the approximate 1:1 ratio between τ and γ. Both mechanisms put ribosomes into alternate reading frames so that stop codons in the new frame serve to make the smaller γ protein. In E. coli, ≈50% of initiating ribosomes translate the dnaX mRNA conventionally to give τ, but the other 50% shift into the −1 reading frame at a specific site (A AAA AAG) in the mRNA to produce γ. In T. thermophilus ribosomal frameshifting is not required: the dnaX mRNA is a heterogeneous population of molecules with different numbers of A residues arising from transcriptional slippage on a run of nine T residues in the DNA template. Translation of the subpopulation containing nine As (or +/− multiples of three As) yields τ. The rest of the population of mRNAs (containing nine +/− nonmultiples of three As) puts ribosomes into the alternate reading frames to produce the γ protein(s). It is surprising that two rather similar dnaX sequences in E. coli and T. thermophilus lead to very different mechanisms of expression.

Control of time-dependent biological processes by temporally patterned input

Temporal patterning of biological variables, in the form of oscillations and rhythms on many time scales, is ubiquitous. Altering the temporal pattern of an input variable greatly affects the output of many biological processes. We develop here a conceptual framework for a quantitative understanding of such pattern dependence, focusing particularly on nonlinear, saturable, time-dependent processes that abound in biophysics, biochemistry, and physiology. We show theoretically that pattern dependence is governed by the nonlinearity of the input–output transformation as well as its time constant. As a result, only patterns on certain time scales permit the expression of pattern dependence, and processes with different time constants can respond preferentially to different patterns. This has implications for temporal coding and decoding, and allows differential control of processes through pattern. We show how pattern dependence can be quantitatively predicted using only information from steady, unpatterned input. To apply our ideas, we analyze, in an experimental example, how muscle contraction depends on the pattern of motorneuron firing.

RNA editing in Arabidopsis mitochondria effects 441 C to U changes in ORFs

On the basis of the sequence of the mitochondrial genome in the flowering plant Arabidopsis thaliana, RNA editing events were systematically investigated in the respective RNA population. A total of 456 C to U, but no U to C, conversions were identified exclusively in mRNAs, 441 in ORFs, 8 in introns, and 7 in leader and trailer sequences. No RNA editing was seen in any of the rRNAs or in several tRNAs investigated for potential mismatch corrections. RNA editing affects individual coding regions with frequencies varying between 0 and 18.9% of the codons. The predominance of RNA editing events in the first two codon positions is not related to translational decoding, because it is not correlated with codon usage. As a general effect, RNA editing increases the hydrophobicity of the coded mitochondrial proteins. Concerning the selection of RNA editing sites, little significant nucleotide preference is observed in their vicinity in comparison to unedited C residues. This sequence bias is, per se, not sufficient to specify individual C nucleotides in the total RNA population in Arabidopsis mitochondria.

RECODE: a database of frameshifting, bypassing and codon redefinition utilized for gene expression

The RECODE database is a compilation of ‘programmed’ translational recoding events taken from the scientific literature and personal communications. The database deals with programmed ribosomal frameshifting, codon redefinition and translational bypass occurring in a variety of organisms. The entries for each event include the sequences of the corresponding genes, their encoded proteins for both the normal and alternate decoding, the types of the recoding events involved, trans-factors and cis-elements that influence recoding. The database is freely available at http://recode.genetics.utah.edu/.

Evolution of RNA editing in trypanosome mitochondria

Two different RNA editing systems have been described in the kinetoplast-mitochondrion of trypanosomatid protists. The first involves the precise insertion and deletion of U residues mostly within the coding regions of maxicircle-encoded mRNAs to produce open reading frames. This editing is mediated by short overlapping complementary guide RNAs encoded in both the maxicircle and the minicircle molecules and involves a series of enzymatic cleavage-ligation steps. The second editing system is a C34 to U34 modification in the anticodon of the imported tRNATrp, thereby permitting the decoding of the UGA stop codon as tryptophan. U-insertion editing probably originated in an ancestor of the kinetoplastid lineage and appears to have evolved in some cases by the replacement of the original pan-edited cryptogene with a partially edited cDNA. The driving force for the evolutionary fixation of these retroposition events was postulated to be the stochastic loss of entire minicircle sequence classes and their encoded guide RNAs upon segregation of the single kinetoplast DNA network into daughter cells at cell division. A large plasticity in the relative abundance of minicircle sequence classes has been observed during cell culture in the laboratory. Computer simulations provide theoretical evidence for this plasticity if a random distribution and segregation model of minicircles is assumed. The possible evolutionary relationship of the C to U and U-insertion editing systems is discussed.

Protein synthesis editing by a DNA aptamer.

Potential errors in decoding genetic information are corrected by tRNA-dependent amino acid recognition processes manifested through editing reactions. One example is the rejection of difficult-to-discriminate misactivated amino acids by tRNA synthetases through hydrolytic reactions. Although several crystal structures of tRNA synthetases and synthetase-tRNA complexes exist, none of them have provided insight into the editing reactions. Other work suggested that editing required active amino acid acceptor hydroxyl groups at the 3' end of a tRNA effector. We describe here the isolation of a DNA aptamer that specifically induced hydrolysis of a misactivated amino acid bound to a tRNA synthetase. The aptamer had no effect on the stability of the correctly activated amino acid and was almost as efficient as the tRNA for inducing editing activity. The aptamer has no sequence similarity to that of the tRNA effector and cannot be folded into a tRNA-like structure. These and additional data show that active acceptor hydroxyl groups in a tRNA effector and a tRNA-like structure are not essential for editing. Thus, specific bases in a nucleic acid effector trigger the editing response.

The translational function of nucleotide C1054 in the small subunit rRNA is conserved throughout evolution: genetic evidence in yeast.

Mutations at position C1054 of 16S rRNA have previously been shown to cause translational suppression in Escherichia coli. To examine the effects of similar mutations in a eukaryote, all three possible base substitutions and a base deletion were generated at the position of Saccharomyces cerevisiae 18S rRNA corresponding to E. coli C1054. In yeast, as in E. coli, both C1054A (rdn-1A) and C1054G (rdn-1G) caused dominant nonsense suppression. Yeast C1054U (rdn-1T) was a recessive antisuppressor, while yeast C1054-delta (rdn-1delta) led to recessive lethality. Both C1054U and two previously described yeast 18S rRNA antisuppressor mutations, G517A (rdn-2) and U912C (rdn-4), inhibited codon-nonspecific suppression caused by mutations in eukaryotic release factors, sup45 and sup35. However, among these only C1054U inhibited UAA-specific suppressions caused by a UAA-decoding mutant tRNA-Gln (SLT3). Our data implicate eukaryotic C1054 in translational termination, thus suggesting that its function is conserved throughout evolution despite the divergence of nearby nucleotide sequences.

UGA suppression by a mutant RNA of the large ribosomal subunit.

A role for rRNA in peptide chain termination was indicated several years ago by isolation of a 168 rRNA (small subunit) mutant of Escherichia coli that suppressed UGA mutations. In this paper, we describe another interesting rRNA mutant, selected as a translational suppressor of the chain-terminating mutant trpA (UGA211) of E. coli. The finding that it suppresses UGA at two positions in trpA and does not suppress the other two termination codons, UAA and UAG, at the same codon positions (or several missense mutations, including UGG, available at one of the two positions) suggests a defect in UGA-specific termination. The suppressor mutation was mapped by plasmid fragment exchanges and in vivo suppression to domain II of the 23S rRNA gene of the rrnB operon. Sequence analysis revealed a single base change of G to A at residue 1093, an almost universally conserved base in a highly conserved region known to have specific interactions with ribosomal proteins, elongation factor G, tRNA in the A-site, and the peptidyltransferase region of 23S rRNA. Several avenues of action of the suppressor mutation are suggested, including altered interactions with release factors, ribosomal protein L11, or 16S rRNA. Regardless of the mechanism, the results indicate that a particular residue in 23S rRNA affects peptide chain termination, specifically in decoding of the UGA termination codon.