Selection for Replicases in Protocells

PMCID: PMC3649988This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Arginine Cofactors on the Polymerase Ribozyme

The RNA world hypothesis states that the early evolution of life went through a stage in which RNA served both as genome and as catalyst. The central catalyst in an RNA world organism would have been a ribozyme that catalyzed RNA polymerization to facilitate self-replication. An RNA polymerase ribozyme was developed previously in the lab but it is not efficient enough for self-replication. The factor that limits its polymerization efficiency is its weak sequence-independent binding of the primer/template substrate. Here we tested whether RNA polymerization could be improved by a cationic arginine cofactor, to improve the interaction with the substrate. In an RNA world, amino acid-nucleic acid conjugates could have facilitated the emergence of the translation apparatus and the transition to an RNP world. We chose the amino acid arginine for our study because this is the amino acid most adept to interact with RNA. An arginine cofactor was positioned at ten different sites on the ribozyme, using conjugates of arginine with short DNA or RNA oligonucleotides. However, polymerization efficiency was not increased in any of the ten positions. In five of the ten positions the arginine reduced or modulated polymerization efficiency, which gives insight into the substrate-binding site on the ribozyme. These results suggest that the existing polymerase ribozyme is not well suited to using an arginine cofactor

A framework for evolutionary systems biology

<p>Abstract</p> <p>Background</p> <p>Many difficult problems in evolutionary genomics are related to mutations that have weak effects on fitness, as the consequences of mutations with large effects are often simple to predict. Current systems biology has accumulated much data on mutations with large effects and can predict the properties of knockout mutants in some systems. However experimental methods are too insensitive to observe small effects.</p> <p>Results</p> <p>Here I propose a novel framework that brings together evolutionary theory and current systems biology approaches in order to quantify small effects of mutations and their epistatic interactions <it>in silico</it>. Central to this approach is the definition of fitness correlates that can be computed in some current systems biology models employing the rigorous algorithms that are at the core of much work in computational systems biology. The framework exploits synergies between the realism of such models and the need to understand real systems in evolutionary theory. This framework can address many longstanding topics in evolutionary biology by defining various 'levels' of the adaptive landscape. Addressed topics include the distribution of mutational effects on fitness, as well as the nature of advantageous mutations, epistasis and robustness. Combining corresponding parameter estimates with population genetics models raises the possibility of testing evolutionary hypotheses at a new level of realism.</p> <p>Conclusion</p> <p>EvoSysBio is expected to lead to a more detailed understanding of the fundamental principles of life by combining knowledge about well-known biological systems from several disciplines. This will benefit both evolutionary theory and current systems biology. Understanding robustness by analysing distributions of mutational effects and epistasis is pivotal for drug design, cancer research, responsible genetic engineering in synthetic biology and many other practical applications.</p

Mapping the RNA Chaperone Activity of the T. brucei Editosome Using SHAPE Chemical Probing

Mitochondrial pre-mRNAs in African trypanosomes adopt intricately folded, highly stable 2D and 3D structures. The RNA molecules are substrates of a U-nucleotide-specific insertion/deletion-type RNA editing reaction, which is catalyzed by a 0.8 MDa protein complex known as the editosome. RNA binding to the editosome is followed by a chaperone-mediated RNA remodeling reaction. The reaction increases the dynamic of specifically U-nucleotides to lower their base-pairing probability and as a consequence generates a simplified RNA folding landscape that is critical for the progression of the editing reaction cycle. Here we describe a chemical mapping method to quantitatively monitor the chaperone-driven structural changes of pre-edited mRNAs upon editosome binding. The method is known as selective 2'-hydroxyl acylation analyzed by primer extension (SHAPE). SHAPE is based on the differential electrophilic modification of ribose 2'-hydroxyl groups in structurally constraint (double-stranded) versus structurally unconstrained (single-stranded) nucleotides. Electrophilic anhydrides such as 1-methyl-7-nitroisatoic anhydride are used as probing reagents, and the ribose 2'-modified nucleotides are mapped as abortive cDNA synthesis products. As a result, SHAPE allows the identification of all single-stranded and base-paired regions in a given RNA, and the data are used to compute experimentally derived RNA 2D structures. A side-by-side comparison of the RNA 2D folds in the pre- and post-chaperone states finally maps the chaperone-induced dynamic of the different pre-mRNAs with single-nucleotide resolution