Abstract
Abstract We present a statistical method for identifying species hybrids using data on multiple, unlinked markers. The method does not require that allele frequencies be known in the parental species nor that separate, pure samples of the parental species be available. The method is suitable for both markers with fixed allelic differences between the species and markers without fixed differences. The probability model used is one in which parentals and various classes of hybrids (F1's, F2's, and various backcrosses) form a mixture from which the sample is drawn. Using the framework of Bayesian model-based clustering allows us to compute, by Markov chain Monte Carlo, the posterior probability that each individual belongs to each of the distinct hybrid classes. We demonstrate the method on allozyme data from two species of hybridizing trout, as well as on two simulated data sets.
Keywords
BiologyHybridMarkov chain Monte CarloBayesian probabilityCluster analysisEvolutionary biologyGenetic dataGeneticsAlleleStatisticsMathematicsGenePopulation
Affiliated Institutions
Related Publications
Model Averaging and Bayes Factor Calculation of Relaxed Molecular Clocks in Bayesian Phylogenetics
We describe a procedure for model averaging of relaxed molecular clock models in Bayesian phylogenetics. Our approach allows us to model the distribution of rates of substitutio...
Smooth Skyride through a Rough Skyline: Bayesian Coalescent-Based Inference of Population Dynamics
Kingman's coalescent process opens the door for estimation of population genetics model parameters from molecular sequences. One paramount parameter of interest is the effective...
Joint Inference of Microsatellite Mutation Models, Population History and Genealogies Using Transdimensional Markov Chain Monte Carlo
Abstract We provide a framework for Bayesian coalescent inference from microsatellite data that enables inference of population history parameters averaged over microsatellite m...
MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With thi...
Latent Class Model Diagnosis
Summary. In many areas of medical research, such as psychiatry and gerontology, latent class variables are used to classify individuals into disease categories, often with the i...
Publication Info
- Year
- 2002
- Type
- article
- Volume
- 160
- Issue
- 3
- Pages
- 1217-1229
- Citations
- 1478
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
1478
OpenAlex
Cite This
Eric C. Anderson,
E. A. Thompson
(2002).
A Model-Based Method for Identifying Species Hybrids Using Multilocus Genetic Data.
Genetics
, 160
(3)
, 1217-1229.
https://doi.org/10.1093/genetics/160.3.1217
Identifiers
- DOI
- 10.1093/genetics/160.3.1217