Literature DB >> 29127445

Negative Epistasis in Experimental RNA Fitness Landscapes.

Devin P Bendixsen1, Bjørn Østman2,3, Eric J Hayden4,5.   

Abstract

Mutations and their effects on fitness are a fundamental component of evolution. The effects of some mutations change in the presence of other mutations, and this is referred to as epistasis. Epistasis can occur between mutations in different genes or within the same gene. A systematic study of epistasis requires the analysis of numerous mutations and their combinations, which has recently become feasible with advancements in DNA synthesis and sequencing. Here we review the mutational effects and epistatic interactions within RNA molecules revealed by several recent high-throughput mutational studies involving two ribozymes studied in vitro, as well as a tRNA and a snoRNA studied in yeast. The data allow an analysis of the distribution of fitness effects of individual mutations as well as combinations of two or more mutations. Two different approaches to measuring epistasis in the data both reveal a predominance of negative epistasis, such that higher combinations of two or more mutations are typically lower in fitness than expected from the effect of each individual mutation. These data are in contrast to past studies of epistasis that used computationally predicted secondary structures of RNA that revealed a predominance of positive epistasis. The RNA data reviewed here are more similar to that found from mutational experiments on individual protein enzymes, suggesting that a common thermodynamic framework may explain negative epistasis between mutations within macromolecules.

Entities:  

Keywords:  Epistasis; Evolution; Fitness landscapes; Mutations; ncRNA

Mesh:

Substances:

Year:  2017        PMID: 29127445     DOI: 10.1007/s00239-017-9817-5

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  49 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-17       Impact factor: 11.205

2.  Interaction between directional epistasis and average mutational effects.

Authors:  C O Wilke; C Adami
Journal:  Proc Biol Sci       Date:  2001-07-22       Impact factor: 5.349

3.  Stability and the evolvability of function in a model protein.

Authors:  Jesse D Bloom; Claus O Wilke; Frances H Arnold; Christoph Adami
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

Review 4.  Mutational fitness effects in RNA and single-stranded DNA viruses: common patterns revealed by site-directed mutagenesis studies.

Authors:  Rafael Sanjuán
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-27       Impact factor: 6.237

5.  Intramolecular phenotypic capacitance in a modular RNA molecule.

Authors:  Eric J Hayden; Devin P Bendixsen; Andreas Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-23       Impact factor: 11.205

Review 6.  Sex in a test tube: testing the benefits of in vitro recombination.

Authors:  Diego Pesce; Niles Lehman; J Arjan G M de Visser
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-10-19       Impact factor: 6.237

7.  The rate at which asexual populations cross fitness valleys.

Authors:  Daniel B Weissman; Michael M Desai; Daniel S Fisher; Marcus W Feldman
Journal:  Theor Popul Biol       Date:  2009-03-13       Impact factor: 1.570

8.  Network of epistatic interactions within a yeast snoRNA.

Authors:  Olga Puchta; Botond Cseke; Hubert Czaja; David Tollervey; Guido Sanguinetti; Grzegorz Kudla
Journal:  Science       Date:  2016-04-14       Impact factor: 47.728

9.  Prevalent positive epistasis in Escherichia coli and Saccharomyces cerevisiae metabolic networks.

Authors:  Xionglei He; Wenfeng Qian; Zhi Wang; Ying Li; Jianzhi Zhang
Journal:  Nat Genet       Date:  2010-01-24       Impact factor: 38.330

10.  High-Throughput Mutational Analysis of a Twister Ribozyme.

Authors:  Shungo Kobori; Yohei Yokobayashi
Journal:  Angew Chem Int Ed Engl       Date:  2016-07-27       Impact factor: 15.336

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  13 in total

1.  Pervasive Pairwise Intragenic Epistasis among Sequential Mutations in TEM-1 β-Lactamase.

Authors:  Courtney E Gonzalez; Marc Ostermeier
Journal:  J Mol Biol       Date:  2019-03-25       Impact factor: 5.469

2.  Emerging Frontiers in the Study of Molecular Evolution.

Authors:  David A Liberles; Belinda Chang; Kerry Geiler-Samerotte; Aaron Goldman; Jody Hey; Betül Kaçar; Michelle Meyer; William Murphy; David Posada; Andrew Storfer
Journal:  J Mol Evol       Date:  2020-04       Impact factor: 2.395

3.  Encapsulation of ribozymes inside model protocells leads to faster evolutionary adaptation.

Authors:  Yei-Chen Lai; Ziwei Liu; Irene A Chen
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-25       Impact factor: 11.205

4.  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

5.  Genotype network intersections promote evolutionary innovation.

Authors:  Devin P Bendixsen; James Collet; Bjørn Østman; Eric J Hayden
Journal:  PLoS Biol       Date:  2019-05-28       Impact factor: 8.029

6.  Big on Change, Small on Innovation: Evolutionary Consequences of RNA Sequence Duplication.

Authors:  Andrew Plebanek; Caleb Larnerd; Milena Popović; Chenyu Wei; Andrew Pohorille; Mark A Ditzler
Journal:  J Mol Evol       Date:  2019-08-21       Impact factor: 2.395

7.  Fitness landscape of a dynamic RNA structure.

Authors:  Valerie W C Soo; Jacob B Swadling; Andre J Faure; Tobias Warnecke
Journal:  PLoS Genet       Date:  2021-02-01       Impact factor: 5.917

8.  Hidden suppressive interactions are common in higher-order drug combinations.

Authors:  Natalie Ann Lozano-Huntelman; April Zhou; Elif Tekin; Mauricio Cruz-Loya; Bjørn Østman; Sada Boyd; Van M Savage; Pamela Yeh
Journal:  iScience       Date:  2021-03-26

9.  Pervasive cooperative mutational effects on multiple catalytic enzyme traits emerge via long-range conformational dynamics.

Authors:  Carlos G Acevedo-Rocha; Aitao Li; Lorenzo D'Amore; Sabrina Hoebenreich; Joaquin Sanchis; Paul Lubrano; Matteo P Ferla; Marc Garcia-Borràs; Sílvia Osuna; Manfred T Reetz
Journal:  Nat Commun       Date:  2021-03-12       Impact factor: 14.919

10.  Dynamic RNA Fitness Landscapes of a Group I Ribozyme during Changes to the Experimental Environment.

Authors:  Gianluca Peri; Clémentine Gibard; Nicholas H Shults; Kent Crossin; Eric J Hayden
Journal:  Mol Biol Evol       Date:  2022-03-02       Impact factor: 16.240

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