Literature DB >> 30418639

Nearly Neutral Evolution across the Drosophila melanogaster Genome.

David Castellano1, Jennifer James2, Adam Eyre-Walker2.   

Abstract

Under the nearly neutral theory of molecular evolution, the proportion of effectively neutral mutations is expected to depend upon the effective population size (Ne). Here, we investigate whether this is the case across the genome of Drosophila melanogaster using polymorphism data from North American and African lines. We show that the ratio of the number of nonsynonymous and synonymous polymorphisms is negatively correlated to the number of synonymous polymorphisms, even when the nonindependence is accounted for. The relationship is such that the proportion of effectively neutral nonsynonymous mutations increases by ∼45% as Ne is halved. However, we also show that this relationship is steeper than expected from an independent estimate of the distribution of fitness effects from the site frequency spectrum. We investigate a number of potential explanations for this and show, using simulation, that this is consistent with a model of genetic hitchhiking: Genetic hitchhiking depresses diversity at neutral and weakly selected sites, but has little effect on the diversity of strongly selected sites.

Entities:  

Mesh:

Year:  2018        PMID: 30418639     DOI: 10.1093/molbev/msy164

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  11 in total

1.  Comparison of the Full Distribution of Fitness Effects of New Amino Acid Mutations Across Great Apes.

Authors:  David Castellano; Moisès Coll Macià; Paula Tataru; Thomas Bataillon; Kasper Munch
Journal:  Genetics       Date:  2019-09-05       Impact factor: 4.562

Review 2.  Adaptive Landscapes in the Age of Synthetic Biology.

Authors:  Xiao Yi; Antony M Dean
Journal:  Mol Biol Evol       Date:  2019-05-01       Impact factor: 16.240

3.  Adaptation and Conservation throughout the Drosophila melanogaster Life-Cycle.

Authors:  Marta Coronado-Zamora; Irepan Salvador-Martínez; David Castellano; Antonio Barbadilla; Isaac Salazar-Ciudad
Journal:  Genome Biol Evol       Date:  2019-05-01       Impact factor: 3.416

4.  Large-Scale Comparative Analysis of Codon Models Accounting for Protein and Nucleotide Selection.

Authors:  Iakov I Davydov; Nicolas Salamin; Marc Robinson-Rechavi
Journal:  Mol Biol Evol       Date:  2019-06-01       Impact factor: 16.240

5.  From Drift to Draft: How Much Do Beneficial Mutations Actually Contribute to Predictions of Ohta's Slightly Deleterious Model of Molecular Evolution?

Authors:  Jun Chen; Sylvain Glémin; Martin Lascoux
Journal:  Genetics       Date:  2020-02-03       Impact factor: 4.562

6.  Impact of Mutation Rate and Selection at Linked Sites on DNA Variation across the Genomes of Humans and Other Homininae.

Authors:  David Castellano; Adam Eyre-Walker; Kasper Munch
Journal:  Genome Biol Evol       Date:  2020-01-01       Impact factor: 3.416

7.  Comparative Genomic Analyses Reveal a Specific Mutation Pattern Between Human Coronavirus SARS-CoV-2 and Bat-CoV RaTG13.

Authors:  Longxian Lv; Gaolei Li; Jinhui Chen; Xinle Liang; Yudong Li
Journal:  Front Microbiol       Date:  2020-11-30       Impact factor: 5.640

8.  Mitochondrial DNA Sequence Diversity in Mammals: A Correlation between the Effective and Census Population Sizes.

Authors:  Jennifer James; Adam Eyre-Walker
Journal:  Genome Biol Evol       Date:  2020-12-06       Impact factor: 3.416

9.  Genomic analyses provide insights into peach local adaptation and responses to climate change.

Authors:  Yong Li; Ke Cao; Nan Li; Gengrui Zhu; Weichao Fang; Changwen Chen; Xinwei Wang; Jian Guo; Qi Wang; Tiyu Ding; Jiao Wang; Liping Guan; Junxiu Wang; Kuozhan Liu; Wenwu Guo; Pere Arús; Sanwen Huang; Zhangjun Fei; Lirong Wang
Journal:  Genome Res       Date:  2021-03-09       Impact factor: 9.043

10.  Hunting for Beneficial Mutations: Conditioning on SIFT Scores When Estimating the Distribution of Fitness Effect of New Mutations.

Authors:  Jun Chen; Thomas Bataillon; Sylvain Glémin; Martin Lascoux
Journal:  Genome Biol Evol       Date:  2022-01-04       Impact factor: 3.416

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