2017
DOI: 10.1111/1755-0998.12704
|View full text |Cite
|
Sign up to set email alerts
|

hybriddetective: A workflow and package to facilitate the detection of hybridization using genomic data in r

Abstract: The ability to detect and characterize hybridization in nature has long been of interest to many fields of biology and often has direct implications for wildlife management and conservation. The capacity to identify the presence of hybridization, and quantify the numbers of individuals belonging to different hybrid classes, permits inference on the magnitude of, and timescale over which, hybridization has been or is occurring. Here, we present an r package and associated workflow developed for the detection, w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
59
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 55 publications
(60 citation statements)
references
References 56 publications
0
59
0
Order By: Relevance
“…Individuals which did not meet the 0.8 posterior probability threshold for any hybrid class were considered only for the assignment as wild, farmed, or hybrid, and excluded from analyses focusing on specific hybrid classes. Convergence of the MCMC chains in NewHybrids was also confirmed using hybriddetective 49 .…”
Section: Methodsmentioning
confidence: 74%
See 2 more Smart Citations
“…Individuals which did not meet the 0.8 posterior probability threshold for any hybrid class were considered only for the assignment as wild, farmed, or hybrid, and excluded from analyses focusing on specific hybrid classes. Convergence of the MCMC chains in NewHybrids was also confirmed using hybriddetective 49 .…”
Section: Methodsmentioning
confidence: 74%
“…We used the R 48 package hybriddetective 49 to simulate pure wild, farmed, and hybrid populations to evaluate the power of this panel to identify hybrids and hybrid classes. Using hybriddetective we simulated multigenerational (viz.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…NEWHYBRIDS probabilistically classifies individuals based on their 10 locus genotypes into six genotypic classes: the two parental species, first (F1) and second (F2) generation hybrids and backcrosses to one or other parental species (BC 1 and BC2, respectively) (Anderson & Thompson, ). The NEWHYBRIDS model was built using the genepopedit , paralellnewhybrid , and hybriddetective packages in R software (Stanley, Jeffery, Wringe, Dibacco, & Bradbury, ; Wringe, Stanley, Jeffery, Anderson, & Bradbury, ,b). For our NEWHYBRIDS model, we also used a burn‐in of 50,000 generations and 500,000 MCMC generations to produce assignments of pure RMS, SS and hybrids across five simulated data sets.…”
Section: Methodsmentioning
confidence: 99%
“…New Computer Programs that are expected to become broadly utilized include the program SWINGER (Sandoval‐Castillo et al., ) that determines optimal breeding groups to reduce relatedness and maximize diversity in supportive breeding programmes, the package HYBRIDDETECTIVE (Wringe, Stanley, Jeffery, Anderson, & Bradbury, ) that detects hybridization in nature and a package called TREESPACE (Jombart, Kendall, Almagro‐Garcia, & Colijn, ) that explores multiple phylogenetic estimates to represent the most informative trees. Computer programs continue to be published as “free access” to make them broadly available to the community.…”
Section: State Of the Journalmentioning
confidence: 99%