Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-19482
Publication type: Book part
Type of review: Peer review (publication)
Title: Selection acting on genomes
Authors: Kosiol, Carolin
Anisimova, Maria
et. al: No
DOI: 10.1007/978-1-4939-9074-0_12
10.21256/zhaw-19482
Published in: Evolutionary genomics : statistical and computational methods
Editors of the parent work: Anisimova, Maria
Pages: 373
Pages to: 397
Issue Date: 2019
Series: Methods in Molecular Biology
ISBN: 978-1-4939-9073-3
978-1-4939-9074-0
Language: English
Subjects: Codon model; Conserved and accelerated region; Polymorphism-aware phylogenetic model; Positive selection scan; Selection-mutation model; Codon; Computational Biology; Genome-wide association study; Genomics; Genotype; Mammal; Genetic models; Statistical model; Mutation; Phylogeny; Genetic polymorphism; Software; Molecular evolution; Genome; Genetic selection
Subject (DDC): 572: Biochemistry
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 genomes 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 genome evolution of various species. In this chapter, we will focus on methods to detect selection on the genome. In particular, we will discuss probabilistic models and how they have changed with the advent of new genome-wide data now available.
URI: https://digitalcollection.zhaw.ch/handle/11475/19482
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Applied Simulation (IAS)
Appears in Collections:Publikationen Life Sciences und Facility Management

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