One size fits all? Direct evidence for the heterogeneity of genetic drift throughout the genome

Autor: Rasmus Froberg Brøndum, Belén Jiménez-Mena, Goutam Sahana, Paula Tataru, Bernt Guldbrandtsen, Thomas Bataillon
Přispěvatelé: Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Bioinformatics Research Center (BiRC), Aarhus University [Aarhus], Department of Haematolog, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Erasmus-Mundus PhD School 'EGS-ABG', INRA Animal Genetics, project 'Genomic selection-from function to efficient utilization in cattle breeding' [3405-10-0137], Aarhus University, Aalborg University Hospital
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Biology Letters
Biology Letters, Royal Society, The, 2016, 12 (7), pp.1-4. ⟨10.1098/rsbl.2016.0426⟩
Jiménez-Mena, B, Tataru, P, Brøndum, R F, Sahana, G, Guldbrandtsen, B & Bataillon, T 2016, ' One size fits all? Direct evidence for the heterogeneity of genetic drift throughout the genome ', Biology Letters, vol. 12, no. 7, 20160426 . https://doi.org/10.1098/rsbl.2016.0426
Jimenez Mena, B, Tataru, P, Brøndum, R F, Sahana, G, Guldbrandtsen, B & Bataillon, T 2016, ' One size fits all? Direct evidence for the heterogeneity of genetic drift throughout the genome. ', Biology Letters, vol. 12, no. 7 . https://doi.org/10.1098/rsbl.2016.0426
ISSN: 1744-9561
Popis: Effective population size ( N e ) is a central parameter in population and conservation genetics. It measures the magnitude of genetic drift, rates of accumulation of inbreeding in a population, and it conditions the efficacy of selection. It is often assumed that a single N e can account for the evolution of genomes. However, recent work provides indirect evidence for heterogeneity in N e throughout the genome. We study this by examining genome-wide diversity in the Danish Holstein cattle breed. Using the differences in allele frequencies over a single generation, we directly estimated N e among autosomes and smaller windows within autosomes. We found statistically significant variation in N e at both scales. However, no correlation was found between the detected regional variability in N e , and proxies for the intensity of linked selection (local recombination rate, gene density), or the presence of either past strong selection or current artificial selection on traits of economic value. Our findings call for further caution regarding the wide applicability of the N e concept for understanding quantitatively processes such as genetic drift and accumulation of consanguinity in both natural and managed populations.
Databáze: OpenAIRE