Evidence map›Paper›PMID 30127529›Full record

ArticleHeredity2018

The fitness landscape of the codon space across environments.

Inês Fragata, Sebastian Matuszewski, Mark A Schmitz, Thomas Bataillon, Jeffrey D Jensen, Claudia Bank

Open access · bronzeAbstract read
In one paragraph

Article in Heredity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
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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 at 3 institutions in 4 countries.

Inês FragataInstituto Gulbenkian de Ciência, Oeiras, Portugal. irfragata@gmail.com.ORCID 0000-0001-6865-1510
Sebastian MatuszewskiSchool of Life Sciences, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland. sebastian.matuszewski@hotmail.com.ORCID 0000-0002-4393-9283
Mark A SchmitzInstituto Gulbenkian de Ciência, Oeiras, Portugal.
Thomas BataillonBioinformatics Research Centre, Aarhus University, 8000, Aarhus, Denmark.ORCID 0000-0002-4730-2538
Jeffrey D JensenSchool of Life Sciences, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland.ORCID 0000-0002-4786-8064
Claudia BankInstituto Gulbenkian de Ciência, Oeiras, Portugal.ORCID 0000-0003-4730-758X
Instituto Gulbenkian de Ciência · PTSIB Swiss Institute of Bioinformatics · CHAarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fitness landscapes map the relationship between genotypes and fitness. However, most fitness landscape studies ignore the genetic architecture imposed by the codon table and thereby neglect the potential role of synonymous mutations. To quantify the fitness effects of synonymous mutations and their potential impact on adaptation on a fitness landscape, we use a new software based on Bayesian Monte Carlo Markov Chain methods and re-estimate selection coefficients of all possible codon mutations across 9 amino acid positions in Saccharomyces cerevisiae Hsp90 across 6 environments. We quantify the distribution of fitness effects of synonymous mutations and show that it is dominated by many mutations of small or no effect and few mutations of larger effect. We then compare the shape of the codon fitness landscape across amino acid positions and environments, and quantify how the consideration of synonymous fitness effects changes the evolutionary dynamics on these fitness landscapes. Together these results highlight a possible role of synonymous mutations in adaptation and indicate the potential mis-inference when they are neglected in fitness landscape studies.

Indexed as

CodonGenetic FitnessAdaptation, PhysiologicalBayes TheoremEpistasis, GeneticEvolution, MolecularGenes, FungalHSP90 Heat-Shock ProteinsMarkov ChainsMutationSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsCodonHSP82 protein, S cerevisiaeHSP90 Heat-Shock ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID30127529
PMCPMC6180090
OpenAlexW2951559571

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.