We present a molecular-level model for the origin and evolution of the translation system, using a 3D comparative method. In this model, the ribosome evolved by accretion, recursively adding expansion segments, iteratively growing, subsuming, and freezing the rRNA. Functions of expansion segments in the ancestral ribosome are assigned by correspondence with their functions in the extant ribosome. The model explains the evolution of the large ribosomal subunit, the small ribosomal subunit, tRNA, and mRNA. Prokaryotic ribosomes evolved in six phases, sequentially acquiring capabilities for RNA folding, catalysis, subunit association, correlated evolution, decoding, energy-driven translocation, and surface proteinization. Two additional phases exclusive to eukaryotes led to tentacle-like rRNA expansions. In this model, ribosomal proteinization was a driving force for the broad adoption of proteins in other biological processes. The exit tunnel was clearly a central theme of all phases of ribosomal evolution and was continuously extended and rigidified. In the primitive noncoding ribosome, proto-mRNA and the small ribosomal subunit acted as cofactors, positioning the activated ends of tRNAs within the peptidyl transferase center. This association linked the evolution of the large and small ribosomal subunits, protomRNA, and tRNA.RNA evolution | translation | origin of life | A-minor interactions T he ribosome retains interpretable molecular records of a world of primordial molecules (1) from around 4 billion years ago (2-9). The records are maintained in rRNA secondary and 3D structures, which are fully conserved throughout the tree of life, and in rRNA sequences, which are more variable (SI Appendix, Fig. S1). Here we use information within ribosomes from each major branch of the tree of life to reconstruct much of the emergence of the universal translational machinery. Large Ribosomal Subunit EvolutionPreviously, we reported a 3D comparative method that revealed a molecular level chronology of the evolution of the large ribosomal subunit (LSU) rRNA (10). Insertion fingerprints are evident when comparing 3D structures of LSU rRNAs of various sizes from various species. These insertion fingerprints mark sites where rRNA expands, recording growth steps on a molecular level.Within the common core of the LSU rRNA, insertion fingerprints were used to identify ancient growth sites. We showed that insertion fingerprints provide a roadmap from the first steps in the formation of the peptidyl transferase center (PTC) (10) located in the ancient heart of the LSU (2-6), culminating in the common core.Small Ribosomal Subunit, LSU, tRNA, and mRNA Evolution Here, using the 3D comparative method, we establish a comprehensive and coherent model for the evolution of the entire ribosome. This model covers the LSU rRNA, small ribosomal subunit (SSU) rRNA, tRNA, and mRNA. The evolution of each of these components is reconciled at the molecular level to a common chronology. This evolutionary model, which we call the "accretion model," ...

The origins and evolution of the ribosome, 3-4 billion years ago, remain imprinted in the biochemistry of extant life and in the structure of the ribosome. Processes of ribosomal RNA (rRNA) expansion can be "observed" by comparing 3D rRNA structures of bacteria (small), yeast (medium), and metazoans (large). rRNA size correlates well with species complexity. Differences in ribosomes across species reveal that rRNA expansion segments have been added to rRNAs without perturbing the preexisting core. Here we show that rRNA growth occurs by a limited number of processes that include inserting a branch helix onto a preexisting trunk helix and elongation of a helix. rRNA expansions can leave distinctive atomic resolution fingerprints, which we call "insertion fingerprints." Observation of insertion fingerprints in the ribosomal common core allows identification of probable ancestral expansion segments. Conceptually reversing these expansions allows extrapolation backward in time to generate models of primordial ribosomes. The approach presented here provides insight to the structure of pre-last universal common ancestor rRNAs and the subsequent expansions that shaped the peptidyl transferase center and the conserved core. We infer distinct phases of ribosomal evolution through which ribosomal particles evolve, acquiring coding and translocation, and extending and elaborating the exit tunnel.RNA evolution | C value | origin of life | translation | phylogeny T he translation system, one of life's universal processes, synthesizes all coded protein in living systems. Our understanding of translation has advanced over the last decade and a half with the explosion in sequencing data and by the determination of 3D structures (1-4). X-ray crystallography and cryoelectron microscopy (cryo-EM) have provided atomic resolution structures of ribosomes from all three domains of life. Eukaryotic ribosomal structures are now available from protists (5), fungi (6), plants (7), insects, and humans (8). Here we describe an atomic level model of the evolution of ribosomal RNA (rRNA) from the large ribosomal subunit (LSU). Our evolutionary model is grounded in patterns of rRNA growth in relatively recent ribosomal expansions, for which there is an extensive, atomicresolution record.The common core LSU rRNA (9, 10), which is approximated here by the rRNA of Escherichia coli, is conserved over the entire phylogenetic tree, in sequence, and especially in secondary structure (11) and 3D structure (12). By contrast, the surface regions and the sizes of ribosomes are variable (13,14). Most of the size variability is found in eukaryotic LSUs (Fig. 1). The integrated rRNA size in the LSU follows the trend Bacteria ≤ Archaea < Eukarya. The added rRNA in eukaryotes interacts with eukaryotic-specific proteins (5, 8, 9) (SI Appendix, Fig. S1 and Dataset S1).Bacterial and archaeal LSU rRNAs are composed entirely of the common core, with only subtle deviations from it. By contrast, eukaryotic LSU rRNAs are expanded beyond the common core. Sacccharomyce...

Accurate secondary structures are important for understanding ribosomes, which are extremely large and highly complex. Using 3D structures of ribosomes as input, we have revised and corrected traditional secondary (2°) structures of rRNAs. We identify helices by specific geometric and molecular interaction criteria, not by co-variation. The structural approach allows us to incorporate non-canonical base pairs on parity with Watson-Crick base pairs. The resulting rRNA 2° structures are up-to-date and consistent with three-dimensional structures, and are information-rich. These 2° structures are relatively simple to understand and are amenable to reproduction and modification by end-users. The 2° structures made available here broadly sample the phylogenetic tree and are mapped with a variety of data related to molecular interactions and geometry, phylogeny and evolution. We have generated 2° structures for both large subunit (LSU) 23S/28S and small subunit (SSU) 16S/18S rRNAs of Escherichia coli, Thermus thermophilus, Haloarcula marismortui (LSU rRNA only), Saccharomyces cerevisiae, Drosophila melanogaster, and Homo sapiens. We provide high-resolution editable versions of the 2° structures in several file formats. For the SSU rRNA, the 2° structures use an intuitive representation of the central pseudoknot where base triples are presented as pairs of base pairs. Both LSU and SSU secondary maps are available (http://apollo.chemistry.gatech.edu/RibosomeGallery). Mapping of data onto 2° structures was performed on the RiboVision server (http://apollo.chemistry.gatech.edu/RiboVision).

The Universal Gene Set of Life (UGSL) is common to genomes of all extant organisms. The UGSL is small, consisting of <100 genes, and is dominated by genes encoding the translation system. Here we extend the search for biological universality to three dimensions. We characterize and quantitate the universality of structure of macromolecules that are common to all of life. We determine that around 90% of prokaryotic ribosomal RNA (rRNA) forms a common core, which is the structural and functional foundation of rRNAs of all cytoplasmic ribosomes. We have established a database, which we call the Sparse and Efficient Representation of the Extant Biology (the SEREB database). This database contains complete and cross-validated rRNA sequences of species chosen, as far as possible, to sparsely and efficiently sample all known phyla. Atomic-resolution structures of ribosomes provide data for structural comparison and validation of sequence-based models. We developed a similarity statistic called pairing adjusted sequence entropy, which characterizes paired nucleotides by their adherence to covariation and unpaired nucleotides by conventional conservation of identity. For canonically paired nucleotides the unit of structure is the nucleotide pair. For unpaired nucleotides, the unit of structure is the nucleotide. By quantitatively defining the common core of rRNA, we systematize the conservation and divergence of the translational system across the tree of life, and can begin to understand the unique evolutionary pressures that cause its universality. We explore the relationship between ribosomal size and diversity, geological time, and organismal complexity.

RiboVision is a visualization and analysis tool for the simultaneous display of multiple layers of diverse information on primary (1D), secondary (2D), and three-dimensional (3D) structures of ribosomes. The ribosome is a macromolecular complex containing ribosomal RNA and ribosomal proteins and is a key component of life responsible for the synthesis of proteins in all living organisms. RiboVision is intended for rapid retrieval, analysis, filtering, and display of a variety of ribosomal data. Preloaded information includes 1D, 2D, and 3D structures augmented by base-pairing, base-stacking, and other molecular interactions. RiboVision is preloaded with rRNA secondary structures, rRNA domains and helical structures, phylogeny, crystallographic thermal factors, etc. RiboVision contains structures of ribosomal proteins and a database of their molecular interactions with rRNA. RiboVision contains preloaded structures and data for two bacterial ribosomes (Thermus thermophilus and Escherichia coli), one archaeal ribosome (Haloarcula marismortui), and three eukaryotic ribosomes (Saccharomyces cerevisiae, Drosophila melanogaster, and Homo sapiens). RiboVision revealed several major discrepancies between the 2D and 3D structures of the rRNAs of the small and large subunits (SSU and LSU). Revised structures mapped with a variety of data are available in RiboVision as well as in a public gallery (). RiboVision is designed to allow users to distill complex data quickly and to easily generate publication-quality images of data mapped onto secondary structures. Users can readily import and analyze their own data in the context of other work. This package allows users to import and map data from CSV files directly onto 1D, 2D, and 3D levels of structure. RiboVision has features in rough analogy with web-based map services capable of seamlessly switching the type of data displayed and the resolution or magnification of the display. RiboVision is available at .