bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.10.08.757769

Compatible Comma-Free Codes and the Origin of the Genetic Code

Abstract

The genetic code is the rule that (apart from minor modifications) is used by all contemporary life on Earth to translate genes into proteins. It is summarized by a 4x4x4 table which maps the 64 possible triplet RNA codons to the 20 canonical amino acids ("AAs"). Understanding the origin of this code is a fundamental open problem in biology. We review the idea of a comma-free code, and put forward a general reason to suspect the primordial code was comma-free (even though the modern code is not). We explain why this primordial code should then persist as a comma-free subcode within the modern code, and identify the five optimal candidates for such a subcode. We then introduce the idea of "compatible comma-free codes" and explain how they allow multiple codes to evolve in parallel, circumventing a standard argument suggesting that code evolution should effectively freeze when the associated genome becomes sufficiently complex. In particular, we highlight the possibility that the original code was a comma-free doublet code, which was then overtaken by a compatible comma-free triplet code, which finally evolved (after the evolution of the start codon and ribosome) to the modern saturated triplet code. To assess this idea, we classify all inequivalent compatible comma-free doublet-triplet codes and, among these, identify the three most promising predecessors of the modern code. Consistency between these three best codes and the "wobble rules" in gene translation provide non-trivial evidence for this possibility.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Boyle, L.. 2026-10-10. Compatible Comma-Free Codes and the Origin of the Genetic Code. https://doi.org/10.64898/2026.10.08.757769

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

An unconstrained Euclidean parametrisation of phylogenetic tree space

Phylogenetic trees combine a discrete topology with continuous branch lengths, which makes them difficult to work with. We introduce a recursive contour-grafting construction that encodes both components using unconstrained real-valued coordinates. After fixing an order of the leaves, each new leaf is attached at a point selected by a contour traversal of the tree constructed so far. Moving a graft coordinate continuously along the contour enables changes of topology when internal branches contract to zero. For trees with n labelled leaves, we apply the construction to rooted ultrametric trees, rooted trees with unrestricted branch lengths, and unrooted trees, obtaining parametrisations of dimensions n-1, 2n-2, and 2n-3, respectively. We show that the resulting construction functions are surjective and continuous onto the corresponding spaces of phylogenetic trees. We also determine the number of representations of a generic tree and calculate the Jacobian of each parametrisation. These results provide explicit change-of-variables formulae between Euclidean coordinates and the phylogenetic tree spaces, and we show how probability distributions on tree space can be sampled using generic algorithms that target unconstrained Euclidean coordinates. This approach paves the way for the development and application of new methodology in Bayesian phylogenetic inference.

evolutionary biology↗

Triangulating evidence to detect signatures of stabilizing selection acting on protein levels in humans

Stabilizing selection is thought to maintain quantitative traits near evolutionary optima, yet the extent to which it constrains human molecular phenotypes remains largely unknown. Here, we investigate signatures of stabilizing selection on the circulating levels of 2'923 plasma proteins in up to 50'000 UK Biobank participants by integrating complementary evidence across evolutionary timescales. We combine genetic signatures of selection accumulated over generations with associations between protein abundance and contemporary fitness-related outcomes. Genetic evidence was assessed using the frequency-dependent architecture of common variants with LDpred2 and a newly developed likelihood-based framework leveraging rare loss-of-function variant burdens. Contemporary evidence was obtained through quadratic associations between protein abundance and three fitness proxies: reproductive success, somatic health, and parental longevity. Across all approaches, negative selection coefficients predominated. Among significant estimates, 100% of common-variant and 92.4% of rare-variant estimates were consistent with stabilizing selection, compared with 99.8% for somatic health, 97.7% for parental longevity, and 89.3% for reproductive success. Despite capturing distinct aspects of selection, the approaches showed partial convergence. Rare-variant-based estimates correlated with health-score-derived coefficients (rho = 0.36, p = 5.2 x 10^-6) and independent measures of evolutionary constraint, including protein heritability, loss-of-function intolerance, and cross-species transcript evolutionary rates. Together, our findings suggest that stabilizing selection is widespread across the human plasma proteome and highlight the value of integrating genetic architecture with fitness-related phenotypes to understand evolutionary constraints on molecular variation.

evolutionary biology↗

Strain-specific higher-order interactions break phylogenetic conservatism in microbial communities

Whether strains of the same species sharing the same ecological role are truly interchangeable has not been directly tested experimentally in communities, where higher-order interactions govern outcomes. Using 79 co-occurring Bacillaceae isolates from the Cuatrocienegas Basin, we combined whole-genome analyses with systematic strain substitutions in BARS, a three-species community in which a resistant strain protects a sensitive strain from an antagonist. Trait conservatism strongly predicted pairwise antagonistic outcomes. Yet across 34 assembled triads, 13 showed rescue beyond pairwise expectations and five showed suppression; single-strain substitutions rarely restored protection, although protection was recovered in one fully reconfigured triad. These outcomes could not be inferred from taxonomic relatedness, pangenomic content or pairwise assays; phylogenetic conservatism thus reaches its limit at the transition from pairwise to higher-order interactions. To explain this limit, we propose that strains behave as non-equivalent biological tiles whose interaction edges must align, a dynamic biological tessellation.

evolutionary biology↗