Literature DB >> 23709636

Stabilizing selection, purifying selection, and mutational bias in finite populations.

Brian Charlesworth1.   

Abstract

Genomic traits such as codon usage and the lengths of noncoding sequences may be subject to stabilizing selection rather than purifying selection. Mutations affecting these traits are often biased in one direction. To investigate the potential role of stabilizing selection on genomic traits, the effects of mutational bias on the equilibrium value of a trait under stabilizing selection in a finite population were investigated, using two different mutational models. Numerical results were generated using a matrix method for calculating the probability distribution of variant frequencies at sites affecting the trait, as well as by Monte Carlo simulations. Analytical approximations were also derived, which provided useful insights into the numerical results. A novel conclusion is that the scaled intensity of selection acting on individual variants is nearly independent of the effective population size over a wide range of parameter space and is strongly determined by the logarithm of the mutational bias parameter. This is true even when there is a very small departure of the mean from the optimum, as is usually the case. This implies that studies of the frequency spectra of DNA sequence variants may be unable to distinguish between stabilizing and purifying selection. A similar investigation of purifying selection against deleterious mutations was also carried out. Contrary to previous suggestions, the scaled intensity of purifying selection with synergistic fitness effects is sensitive to population size, which is inconsistent with the general lack of sensitivity of codon usage to effective population size.

Entities:  

Keywords:  codon usage; genetic drift; indels; mutational bias; purifying selection; stabilizing selection

Mesh:

Year:  2013        PMID: 23709636      PMCID: PMC3730922          DOI: 10.1534/genetics.113.151555

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  61 in total

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5.  Charlesworth et al. on Background Selection and Neutral Diversity.

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6.  Purifying selection, drift, and reversible mutation with arbitrarily high mutation rates.

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7.  Mutation Rate Evolution in Partially Selfing and Partially Asexual Organisms.

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9.  Selection maintains signaling function of a highly diverged intrinsically disordered region.

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10.  Learning the properties of adaptive regions with functional data analysis.

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