Circular code motifs in the ribosome: a missing link in the evolution of translation?

The origin of the genetic code remains enigmatic five decades after it was elucidated, although there is growing evidence that the code coevolved progressively with the ribosome. A number of primordial codes were proposed as ancestors of the modern genetic code, including comma-free codes such as the RRY, RNY, or GNC codes (R = G or A, Y = C or T, N = any nucleotide), and the X circular code, an error-correcting code that also allows identification and maintenance of the reading frame. It was demonstrated previously that motifs of the X circular code are significantly enriched in the protein-coding genes of most organisms, from bacteria to eukaryotes. Here, we show that imprints of this code also exist in the ribosomal RNA (rRNA). In a large-scale study involving 133 organisms representative of the three domains of life, we identified 32 universal X motifs that are conserved in the rRNA of >90% of the organisms. Intriguingly, most of the universal X motifs are located in rRNA regions involved in important ribosome functions, notably in the peptidyl transferase center and the decoding center that form the original "proto-ribosome." Building on the existing accretion models for ribosome evolution, we propose that error-correcting circular codes represented an important step in the emergence of the modern genetic code. Thus, circular codes would have allowed the simultaneous coding of amino acids and synchronization of the reading frame in primitive translation systems, prior to the emergence of more sophisticated start codon recognition and translation initiation mechanisms.

Optimality of circular codes versus the genetic code after frameshift errors.

The standard genetic code (SGC) describes how 64 trinucleotides (codons) encode 20 amino acids and the stop translation signal. Biochemical and statistical studies have shown that the standard genetic code is optimized to reduce the impact of errors caused by incorporation of wrong amino acids during translation. This is achieved by mapping codons that differ by only one nucleotide to the same amino acid or one with similar biochemical properties, so that if misincorporation occurs, the structure and function of the translated protein remain relatively unaltered. Some previous studies have extended the analysis of SGC optimality to the effect of frameshift errors on the conservation of amino acids. Here, we compare the optimality of the SGC with a set of circular codes, and in particular the X circular code identified in genes, on the basis of various biochemical properties over all possible frameshift errors. We show that the X circular code is more optimized to minimize the impact of frameshift errors than the SGC for the chosen amino acid properties. Furthermore, in the context of a problem that has been unresolved since 1996, we also demonstrate that the X circular code has a frameshift optimality in its combinatorial class of 216 maximal self-complementary C3 circular codes. To our knowledge, this is the first demonstration of the role of the X circular code in mitigation of translation errors. These results lead us to discuss the potential role of the X circular code in the evolution of the standard genetic code.

Evolutionary conservation and functional implications of circular code motifs in eukaryotic genomes.

A set X of 20 trinucleotides has been found to have the highest average occurrence in the reading frame, compared to the two shifted frames, of genes of bacteria, archaea, eukaryotes, plasmids and viruses (Michel, 2015, 2017; Arquès and Michel, 1996). This set X has an interesting mathematical property, since X is a maximal C3 self-complementary trinucleotide circular code (Arquès and Michel, 1996). Furthermore, any motif obtained from this circular code X has the capacity to retrieve, maintain and synchronize the reading frame in genes. In a recent study of the X motifs in the complete genome of the yeast, Saccharomyces cerevisiae, it was shown that they are significantly enriched in the reading frame of the genes (protein-coding regions) of the genome (Michel et al., 2017). It was suggested that these X motifs may be evolutionary relics of a primitive code originally used for gene translation. The aim of this paper is to address two questions: are X motifs conserved during evolution? and do they continue to play a functional role in the processes of genome decoding and protein production? In a large scale analysis involving complete genomes from four mammals and nine different yeast species, we highlight specific evolutionary pressures on the X motifs in the genes of all the genomes, and identify important new properties of X motif conservation at the level of the encoded amino acids. We then compare the occurrence of X motifs with existing experimental data concerning protein expression and protein production, and report a significant correlation between the number of X motifs in a gene and increased protein abundance. In a general way, this work suggests that motifs from circular codes, i.e. motifs having the property of reading frame retrieval, may represent functional elements located within the coding regions of extant genomes.