Significance: The ribosome, in analogy with a tree, contains a record of its history, spanning 4 billion years of life on earth. The information contained within ribosomes connects us to the prehistory of biology. Details of ribosomal RNA variation, observed by comparing three-dimensional structures of ribosomes across the tree of life, form the basis of our molecular-level model of the origins and evolution of the translational system. We infer many steps in the evolution of translation, mapping out acquisition of structure and function, revealing much about how modern biology originated from ancestral chemical systems.

Significance: Ribosomes exist in every cell and are responsible for translation from mRNA to protein. The structure of the ribosomal common core is highly conserved in all living species, while the outer regions of the ribosome are variable. Ribosomal RNA of eukaryotes contains expansion segments accreted onto the surface of the core, which is nearly identical in structure to that in prokaryotic ribosomes. Comparing eukaryotic and prokaryotic ribosomes allows us to identify 3D insertion fingerprints of the expansion segments. Similar fingerprints allow us to analyze the common core and detect ancestral expansion segments within it. We construct a molecular model of ribosomal evolution starting from primordial biological systems near the dawn of life, culminating with relatively recent changes specific to metazoans.

Non-coding RNAs (ncRNA) are essential for all life, and their functions often depend on their secondary (2D) and tertiary structure. Despite the abundance of software for the visualisation of ncRNAs, few automatically generate consistent and recognisable 2D layouts, which makes it challenging for users to construct, compare and analyse structures. Here, we present R2DT, a method for predicting and visualising a wide range of RNA structures in standardised layouts. R2DT is based on a library of 3,647 templates representing the majority of known structured RNAs. R2DT has been applied to ncRNA sequences from the RNAcentral database and produced >13 million diagrams, creating the world’s largest RNA 2D structure dataset. The software is amenable to community expansion, and is freely available at https://github.com/rnacentral/R2DT and a web server is found at https://rnacentral.org/r2dt.

▪ Abstract The genomes of higher cells consist of double-helical DNA, a densely charged polyelectrolyte of immense length. The intrinsic physical properties of DNA, as well as the properties of its complexes with proteins and ions, are therefore of fundamental interest in understanding the functions of DNA as an informational macromolecule. Because individual DNA molecules often exceed 1 cm in length, it is clear that DNA bending, folding, and interaction with nuclear proteins are necessary for packaging genomes in small volumes and for integrating the nucleotide sequence information that guides genetic readout. This review first focuses on recent experiments exploring how the shape of the densely charged DNA polymer and asymmetries in its surrounding counterion distribution mutually influence one another. Attention is then turned to experiments seeking to discover the degree to which asymmetric phosphate neutralization can lead to DNA bending in protein-DNA complexes. It is argued that electrostatic effects play crucial roles in the intrinsic, sequence-dependent shape of DNA and in DNA shapes induced by protein binding.

Significance: One of the long-standing questions in origins-of-life research centers on how the proteinaceous side chains and the protein backbone were selected during the earliest phases of evolution. Here we have studied oligomerization reactions of a group of positively charged amino acids, both proteinaceous and nonproteinaceous. Amino acids spontaneously oligomerized without the use of enzymes or activating agents, under mild, hydroxy acid-catalyzed, dry-down conditions. We observed that the proteinaceous amino acids oligomerized more extensively and with greater preference for reactivity through their α-amine compared with nonproteinaceous amino acids, forming predominantly linear, protein-like backbone topologies. These findings provide a purely chemical basis for selection of the positively charged amino acids found in today’s proteins.