TY - JOUR
T1 - Empirical Analysis of RNA Robustness and Evolution Using High-Throughput Sequencing of Ribozyme Reactions
AU - Hayden, Eric J.
N1 - Hayden, Eric J. (2016). "Empirical Analysis of RNA Robustness and Evolution Using High-Throughput Sequencing of Ribozyme Reactions". Methods, 106, 97-104. http://dx.doi.org/10.1016/j.ymeth.2016.05.014
PY - 2016/8/15
Y1 - 2016/8/15
N2 - RNA molecules provide a realistic but tractable model of a genotype to phenotype relationship. This relationship has been extensively investigated computationally using secondary structure prediction algorithms. Enzymatic RNA molecules, or ribozymes, offer access to genotypic and phenotypic information in the laboratory. Advancements in high-throughput sequencing technologies have enabled the analysis of sequences in the lab that now rivals what can be accomplished computationally. This has motivated a resurgence of in vitro selection experiments and opened new doors for the analysis of the distribution of RNA functions in genotype space. A body of computational experiments has investigated the persistence of specific RNA structures despite changes in the primary sequence, and how this mutational robustness can promote adaptations. This article summarizes recent approaches that were designed to investigate the role of mutational robustness during the evolution of RNA molecules in the laboratory, and presents theoretical motivations, experimental methods and approaches to data analysis.
AB - RNA molecules provide a realistic but tractable model of a genotype to phenotype relationship. This relationship has been extensively investigated computationally using secondary structure prediction algorithms. Enzymatic RNA molecules, or ribozymes, offer access to genotypic and phenotypic information in the laboratory. Advancements in high-throughput sequencing technologies have enabled the analysis of sequences in the lab that now rivals what can be accomplished computationally. This has motivated a resurgence of in vitro selection experiments and opened new doors for the analysis of the distribution of RNA functions in genotype space. A body of computational experiments has investigated the persistence of specific RNA structures despite changes in the primary sequence, and how this mutational robustness can promote adaptations. This article summarizes recent approaches that were designed to investigate the role of mutational robustness during the evolution of RNA molecules in the laboratory, and presents theoretical motivations, experimental methods and approaches to data analysis.
KW - epistasis
KW - genotype networks
KW - genotype space
KW - mutational robustness
KW - ribozyme
KW - selective sweeps
KW - Evolutionary trajectories
UR - https://scholarworks.boisestate.edu/bio_facpubs/479
UR - http://dx.doi.org/10.1016/j.ymeth.2016.05.014
UR - http://www.scopus.com/inward/record.url?scp=84973864256&partnerID=8YFLogxK
U2 - 10.1016/j.ymeth.2016.05.014
DO - 10.1016/j.ymeth.2016.05.014
M3 - Article
C2 - 27215494
VL - 106
SP - 97
EP - 104
JO - History Faculty Publications and Presentations
JF - History Faculty Publications and Presentations
ER -