Back to Search
Start Over
DILS: Demographic Inferences with Linked Selection by using ABC
- Source :
- Molecular Ecology Resources, Molecular Ecology Resources, 2021, ⟨10.1111/1755-0998.13323⟩, Molecular Ecology Resources, Wiley/Blackwell, 2021, ⟨10.1111/1755-0998.13323⟩
- Publication Year :
- 2020
- Publisher :
- Cold Spring Harbor Laboratory, 2020.
-
Abstract
- 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 datasets (multilocus fasta sequences) and performs three types of analyses in a hierarchical manner, identifying: 1) the best demographic model to study the importance of gene flow and population size change on the genetic patterns of polymorphism and divergence, 2) the best genomic model to determine whether the effective sizeNeand migration rateN.mare heterogeneously distributed along the genome (implying linked selection) and 3) loci in genomic regions most associated with barriers to gene flow. Also availableviaa 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 ofMytilusmussel populations/species.
- Subjects :
- Gene Flow
0301 basic medicine
0106 biological sciences
Genetic Speciation
Computer science
[SDV]Life Sciences [q-bio]
media_common.quotation_subject
Population
Locus (genetics)
Genomics
Computational biology
Biology
010603 evolutionary biology
01 natural sciences
Genome
Gene flow
03 medical and health sciences
[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN]
Genetic algorithm
Genetics
Selection, Genetic
education
Divergence (statistics)
Ecology, Evolution, Behavior and Systematics
Selection (genetic algorithm)
030304 developmental biology
media_common
Population Density
0303 health sciences
education.field_of_study
[SHS.STAT]Humanities and Social Sciences/Methods and statistics
Models, Genetic
Population size
Bayes Theorem
Speciation
Genetics, Population
030104 developmental biology
Approximate Bayesian computation
Biotechnology
Subjects
Details
- ISSN :
- 1755098X and 17550998
- Database :
- OpenAIRE
- Journal :
- Molecular Ecology Resources, Molecular Ecology Resources, 2021, ⟨10.1111/1755-0998.13323⟩, Molecular Ecology Resources, Wiley/Blackwell, 2021, ⟨10.1111/1755-0998.13323⟩
- Accession number :
- edsair.doi.dedup.....664acdd047b80d26f8c52b8959139d35