Evidence map›Paper›PMID 31504782›Full record

ArticleMolecular biology and evolution2020

Polymorphism Data Assist Estimation of the Nonsynonymous over Synonymous Fixation Rate Ratio ω for Closely Related Species.

Carina F Mugal, Verena E Kutschera, Fidel Botero-Castro, Jochen B W Wolf, Ingemar Kaj

Abstract readEvaluation Study
In one paragraph

Article in Molecular biology and evolution, 2020. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  12. Genetic Diversity and Population Structure ofFrontiers in microbiology · 2021
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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

5 authors.

Carina F MugalDepartment of Ecology and Genetics, Uppsala University, Uppsala, Sweden.
Verena E KutscheraDepartment of Ecology and Genetics, Uppsala University, Uppsala, Sweden.
Fidel Botero-CastroDivision of Evolutionary Biology, Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany.
Jochen B W WolfDepartment of Ecology and Genetics, Uppsala University, Uppsala, Sweden.
Ingemar KajDepartment of Mathematics, Uppsala University, Uppsala, Sweden.

Funding

European Research Council 336536
6 · The paper itself

Abstract

The ratio of nonsynonymous over synonymous sequence divergence, dN/dS, is a widely used estimate of the nonsynonymous over synonymous fixation rate ratio ω, which measures the extent to which natural selection modulates protein sequence evolution. Its computation is based on a phylogenetic approach and computes sequence divergence of protein-coding DNA between species, traditionally using a single representative DNA sequence per species. This approach ignores the presence of polymorphisms and relies on the indirect assumption that new mutations fix instantaneously, an assumption which is generally violated and reasonable only for distantly related species. The violation of the underlying assumption leads to a time-dependence of sequence divergence, and biased estimates of ω in particular for closely related species, where the contribution of ancestral and lineage-specific polymorphisms to sequence divergence is substantial. We here use a time-dependent Poisson random field model to derive an analytical expression of dN/dS as a function of divergence time and sample size. We then extend our framework to the estimation of the proportion of adaptive protein evolution α. This mathematical treatment enables us to show that the joint usage of polymorphism and divergence data can assist the inference of selection for closely related species. Moreover, our analytical results provide the basis for a protocol for the estimation of ω and α for closely related species. We illustrate the performance of this protocol by studying a population data set of four corvid species, which involves the estimation of ω and α at different time-scales and for several choices of sample sizes.

Indexed as

Evolution, MolecularGenetic TechniquesModels, GeneticSilent MutationAnimalsCrowsPolymorphism, Geneticcodon modelsdN/dSmolecular evolutionnatural selectionPoisson random field modelpopulation genetics

Identifiers

PMID31504782
PMCPMC6984366

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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.