Literature DB >> 22399457

Selection on the protein-coding genome.

Carolin Kosiol1, Maria Anisimova.   

Abstract

Populations evolve as mutations arise in individual organisms and, through hereditary transmission, may become "fixed" (shared by all individuals) in the population. Most mutations are lethal or have negative fitness consequences for the organism. Others have essentially no effect on organismal fitness and can become fixed through the neutral stochastic process known as random drift. However, mutations may also produce a selective advantage that boosts their chances of reaching fixation. Regions of genes where new mutations are beneficial, rather than neutral or deleterious, tend to evolve more rapidly due to positive selection. Genes involved in immunity and defense are a well-known example; rapid evolution in these genes presumably occurs because new mutations help organisms to prevail in evolutionary "arms races" with pathogens. In recent years, genome-wide scans for selection have enlarged our understanding of the evolution of the protein-coding regions of the various species. In this chapter, we focus on the methods to detect selection in protein-coding genes. In particular, we discuss probabilistic models and how they have changed with the advent of new genome-wide data now available.

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Year:  2012        PMID: 22399457     DOI: 10.1007/978-1-61779-585-5_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

1.  Less is more: an adaptive branch-site random effects model for efficient detection of episodic diversifying selection.

Authors:  Martin D Smith; Joel O Wertheim; Steven Weaver; Ben Murrell; Konrad Scheffler; Sergei L Kosakovsky Pond
Journal:  Mol Biol Evol       Date:  2015-02-19       Impact factor: 16.240

2.  Optimization of sequence alignments according to the number of sequences vs. number of sites trade-off.

Authors:  Julien Y Dutheil; Emeric Figuet
Journal:  BMC Bioinformatics       Date:  2015-06-09       Impact factor: 3.169

3.  Darwin and Fisher meet at biotech: on the potential of computational molecular evolution in industry.

Authors:  Maria Anisimova
Journal:  BMC Evol Biol       Date:  2015-05-01       Impact factor: 3.260

4.  Comparative genome and transcriptome analyses reveal adaptations to opportunistic infections in woody plant degrading pathogens of Botryosphaeriaceae.

Authors:  Ji Ye Yan; Wen Sheng Zhao; Zhen Chen; Qi Kai Xing; Wei Zhang; K W Thilini Chethana; Min Feng Xue; Jian Ping Xu; Alan J L Phillips; Yong Wang; Jian Hua Liu; Mei Liu; Ying Zhou; Ruvishika S Jayawardena; Ishara S Manawasinghe; Jin Bao Huang; Guang Hang Qiao; Chun Yuan Fu; Fei Fei Guo; Asha J Dissanayake; You Liang Peng; Kevin D Hyde; Xing Hong Li
Journal:  DNA Res       Date:  2018-02-01       Impact factor: 4.458

5.  Evidence of episodic positive selection in Corynebacterium diphtheriae complex of species and its implementations in identification of drug and vaccine targets.

Authors:  Marcus Vinicius Canário Viana; Rodrigo Profeta; Janaína Canário Cerqueira; Alice Rebecca Wattam; Debmalya Barh; Artur Silva; Vasco Azevedo
Journal:  PeerJ       Date:  2022-02-16       Impact factor: 2.984

6.  PSP: rapid identification of orthologous coding genes under positive selection across multiple closely related prokaryotic genomes.

Authors:  Fei Su; Hong-Yu Ou; Fei Tao; Hongzhi Tang; Ping Xu
Journal:  BMC Genomics       Date:  2013-12-27       Impact factor: 3.969

7.  Divergence in Coding Sequence and Expression of Different Functional Categories of Immune Genes between Two Wild Rodent Species.

Authors:  Xiuqin Zhong; Max Lundberg; Lars Råberg
Journal:  Genome Biol Evol       Date:  2021-03-01       Impact factor: 3.416

  7 in total

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