DILS: Demographic inferences with linked selection by using ABC.
Journal
Molecular ecology resources
ISSN: 1755-0998
Titre abrégé: Mol Ecol Resour
Pays: England
ID NLM: 101465604
Informations de publication
Date de publication:
Nov 2021
Nov 2021
Historique:
revised:
09
12
2020
received:
18
06
2020
accepted:
21
12
2020
pubmed:
16
1
2021
medline:
9
11
2021
entrez:
15
1
2021
Statut:
ppublish
Résumé
We present DILS, a deployable statistical analysis platform for conducting demographic inferences with linked selection from population genomic data using an Approximate Bayesian Computation framework. DILS takes as input single-population or two-population data sets (multilocus fasta sequences) and performs three types of analyses in a hierarchical manner, identifying: (a) the best demographic model to study the importance of gene flow and population size change on the genetic patterns of polymorphism and divergence, (b) the best genomic model to determine whether the effective size Ne and migration rate N, m are heterogeneously distributed along the genome (implying linked selection) and (c) loci in genomic regions most associated with barriers to gene flow. Also available via a Web interface, an objective of DILS is to facilitate collaborative research in speciation genomics. Here, we show the performance and limitations of DILS by using simulations and finally apply the method to published data on a divergence continuum composed by 28 pairs of Mytilus mussel populations/species.
Identifiants
pubmed: 33448666
doi: 10.1111/1755-0998.13323
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2629-2644Subventions
Organisme : Austrian Science Foundation
ID : M 2463-B29
Informations de copyright
© 2021 John Wiley & Sons Ltd.
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