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Inferring the demographic history of ...
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Document type :
Partie d'ouvrage: Chapitre
DOI :
10.1101/2021.07.10.451876
Title :
Inferring the demographic history of tetraploid species from genomic data
Author(s) :
Roux, Camille [Auteur]
Évolution, Écologie et Paléontologie (Evo-Eco-Paleo) - UMR 8198 [Evo-Eco-Paléo (EEP)]
Vekemans, Xavier [Auteur] refId
Évolution, Écologie et Paléontologie (Evo-Eco-Paleo) - UMR 8198 [Evo-Eco-Paléo (EEP)]
Pannell, John [Auteur]
Book title :
Methods in Molecular Biology
Publication date :
2021
English abstract : [en]
Abstract Genomic patterns of diversity and divergence are impacted by certain life history traits, reproductive systems and demographic history. The latter is characterised by fluctuations in population sizes over time, ...
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Abstract Genomic patterns of diversity and divergence are impacted by certain life history traits, reproductive systems and demographic history. The latter is characterised by fluctuations in population sizes over time, as well as by temporal patterns of introgression. For a given organism, identifying a demographic history that deviates from the standard neutral model allows a better understanding of its evolution, but also helps to reduce the risk of false positives when screening for molecular targets of natural selection. Tetraploid organisms and beyond have demographic histories that are complicated by the mode of polyploidisation, the mode of inheritance and different scenarios of gene flow between subgenomes and diploid parental species. Here we provide guidelines for experimenters wishing to address these issues through a flexible statistical framework: approximate Bayesian computation (ABC). The emphasis is on the general philosophy of the approach to encourage future users to exploit the enormous flexibility of ABC beyond the limitations imposed by generalist data analysis pipelines.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Collections :
  • Évolution, Écologie et Paléontologie (Evo Eco Paleo) - UMR 8198
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