Literature DB >> 25270912

Experimental fitness landscapes to understand the molecular evolution of RNA-based life.

Shreyas S Athavale1, Brad Spicer2, Irene A Chen3.   

Abstract

In evolutionary biology, the relationship between genotype and Darwinian fitness is known as a fitness landscape. These landscapes underlie natural selection, so understanding them would greatly improve quantitative prediction of evolutionary outcomes, guiding the development of synthetic living systems. However, the structure of fitness landscapes is essentially unknown. Our ability to experimentally probe these landscapes is physically limited by the number of different sequences that can be identified. This number has increased dramatically in the last several years, leading to qualitatively new investigations. Several approaches to illuminate fitness landscapes are possible, ranging from tight focus on a single peak to random speckling or even comprehensive coverage of an entire landscape. We discuss recent experimental studies of fitness landscapes, with a special focus on functional RNA, an important system for both synthetic cells and the origin of life.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 25270912     DOI: 10.1016/j.cbpa.2014.09.008

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  8 in total

1.  The structure of the genotype-phenotype map strongly constrains the evolution of non-coding RNA.

Authors:  Kamaludin Dingle; Steffen Schaper; Ard A Louis
Journal:  Interface Focus       Date:  2015-12-06       Impact factor: 3.906

2.  Analysis of in vitro evolution reveals the underlying distribution of catalytic activity among random sequences.

Authors:  Abe Pressman; Janina E Moretti; Gregory W Campbell; Ulrich F Müller; Irene A Chen
Journal:  Nucleic Acids Res       Date:  2017-08-21       Impact factor: 16.971

3.  Mapping a Systematic Ribozyme Fitness Landscape Reveals a Frustrated Evolutionary Network for Self-Aminoacylating RNA.

Authors:  Abe D Pressman; Ziwei Liu; Evan Janzen; Celia Blanco; Ulrich F Müller; Gerald F Joyce; Robert Pascal; Irene A Chen
Journal:  J Am Chem Soc       Date:  2019-04-05       Impact factor: 15.419

4.  Effect of UV Radiation on Fluorescent RNA Aptamers' Functional and Templating Ability.

Authors:  Ranajay Saha; Irene A Chen
Journal:  Chembiochem       Date:  2019-08-21       Impact factor: 3.164

5.  REVERSE: a user-friendly web server for analyzing next-generation sequencing data from in vitro selection/evolution experiments.

Authors:  Zoe Weiss; Saurja DasGupta
Journal:  Nucleic Acids Res       Date:  2022-06-14       Impact factor: 19.160

6.  Predicting higher-order mutational effects in an RNA enzyme by machine learning of high-throughput experimental data.

Authors:  James D Beck; Jessica M Roberts; Joey M Kitzhaber; Ashlyn Trapp; Edoardo Serra; Francesca Spezzano; Eric J Hayden
Journal:  Front Mol Biosci       Date:  2022-08-15

Review 7.  Fitness Landscapes of Functional RNAs.

Authors:  Ádám Kun; Eörs Szathmáry
Journal:  Life (Basel)       Date:  2015-08-21

8.  The Single-Stranded RNA Bacteriophage Qβ Adapts Rapidly to High Temperatures: An Evolution Experiment.

Authors:  Md Tanvir Hossain; Toma Yokono; Akiko Kashiwagi
Journal:  Viruses       Date:  2020-06-12       Impact factor: 5.048

  8 in total

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