Evidence map›Paper›PMID 21655079›Full record

ArticlePLoS genetics2011

Epistasis between beneficial mutations and the phenotype-to-fitness Map for a ssDNA virus.

Darin R Rokyta, Paul Joyce, S Brian Caudle, Craig Miller, Craig J Beisel, Holly A Wichman

Abstract read
In one paragraph

Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
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

50 citing papers in PubMed.

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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

6 authors.

Darin R RokytaDepartment of Biological Science, Florida State University, Tallahassee, Florida, USA. drokyta@bio.fsu.edu
Paul Joyce
S Brian Caudle
Craig Miller
Craig J Beisel
Holly A Wichman

Funding

The Evolution of Protein FlexibilityP20RR016448 · NCRR · UNIVERSITY OF IDAHO · PI FORNEY, LARRY J · 2002 to 2011
$19.3M
Patterns of Adaptive EvolutionR01GM076040 · NIGMS · UNIVERSITY OF IDAHO · PI MILLER, CRAIG R, WICHMAN, HOLLY A · 2006 to 2021
$3.6M
NCRR NIH HHS P20 RR016448NCRR NIH HHS P20-RR016448NIGMS NIH HHS R01 GM076040
6 · The paper itself

Abstract

Epistatic interactions between genes and individual mutations are major determinants of the evolutionary properties of genetic systems and have therefore been well documented, but few quantitative data exist on epistatic interactions between beneficial mutations, presumably because such mutations are so much rarer than deleterious ones. We explored epistasis for beneficial mutations by constructing genotypes with pairs of mutations that had been previously identified as beneficial to the ssDNA bacteriophage ID11 and by measuring the effects of these mutations alone and in combination. We constructed 18 of the 36 possible double mutants for the nine available beneficial mutations. We found that epistatic interactions between beneficial mutations were all antagonistic-the effects of the double mutations were less than the sums of the effects of their component single mutations. We found a number of cases of decompensatory interactions, an extreme form of antagonistic epistasis in which the second mutation is actually deleterious in the presence of the first. In the vast majority of cases, recombination uniting two beneficial mutations into the same genome would not be favored by selection, as the recombinant could not outcompete its constituent single mutations. In an attempt to understand these results, we developed a simple model in which the phenotypic effects of mutations are completely additive and epistatic interactions arise as a result of the form of the phenotype-to-fitness mapping. We found that a model with an intermediate phenotypic optimum and additive phenotypic effects provided a good explanation for our data and the observed patterns of epistatic interactions.

Indexed as

AlgorithmsMutationPhenotypeDNA, Single-StrandedDNA VirusesEpistasis, GeneticGenomeGenotypeSelection, GeneticDNA, Single-Stranded

Identifiers

PMID21655079
PMCPMC3107187

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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.