Evidence map›Paper›PMID 29127445›Full record

ReviewJournal of molecular evolution2017

Negative Epistasis in Experimental RNA Fitness Landscapes.

Devin P Bendixsen, Bjørn Østman, Eric J Hayden

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  7. Encapsulation of ribozymes inside model protocells leads to faster evolutionary adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  12. Emerging Frontiers in the Study of Molecular Evolution.Journal of molecular evolution · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Devin P BendixsenBiomolecular Sciences Graduate Program, Boise State University, Boise, ID, USA.
Bjørn ØstmanDepartment of Ecology and Evolutionary Biology, UCLA, Los Angeles, CA, 90095, USA.
Eric J HaydenBiomolecular Sciences Graduate Program, Boise State University, Boise, ID, USA. erichayden@boisestate.edu.ORCID http://orcid.org/0000-0001-6078-5418
Boise State University · USUniversity of California, Los Angeles · US

Funding

Boise State University Biomolecular Sciences Graduate ProgramsDirectorate for Biological Sciences 1413664Idaho State University Fall 2016 MRCF Seed GrantNational Aeronautics and Space Administration 80NSSC17K0738National Science Foundation OIA-1738865University of California, Los Angeles Department of Ecology and Evolutionary Biology
6 · The paper itself

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.

Indexed as

Computer SimulationEpistasis, GeneticEvolution, MolecularGenetic FitnessModels, GeneticMutationRNASaccharomyces cerevisiaeSelection, GeneticRNAEpistasisEvolutionFitness landscapesMutationsncRNA

Identifiers

PMID29127445
OpenAlexW2767891244

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.