Distinguishing migration from isolation: a Markov chain Monte Carlo approach.

By Rasmus Nielsen, John Wakeley. Genetics, 2001

1,356 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/49054e97a55ec328faefa2a2ff3e765935169a5e

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Citations in the corpus

Reanalysis suggests that genomic islands of speciation are due to reduced diversity, not reduced gene flow (2014, methodology): “One popular way to infer whether gene flow is occurring is to apply a coalescent-based model for gene flow, referred to as the isolation-with-migration (IM) model (Nielsen & Wakeley 2001; Hey & Nielsen 2004, 2007; Hey 2010).”
Bayes estimation of species divergence times and ancestral population sizes using DNA sequences from multiple loci. (2003, methodology): “Nielsen and Wakeley (2001) implemented an MCMC algorithm for likeli- Bayes estimation of parameters: The Bayes hierarchical model has two main components: the prior dis-hood and Bayes inference using data from two species, modeling both ancestral polymorphism and gene flow tribution of the…”
Assessing population differentiation and isolation from single‐nucleotide polymorphism data (2002, methodology): “Nielsen and Wakeley (2001) developed a method for jointly estimating migration rates, times and effective population sizes since population divergence, for a pair of populations from which DNA sequences are available at a single locus.”
Divergent selection and heterogeneous genomic divergence (2009, methodology): “From an empirical perspective, recently developed coalescent-based methods can be used to estimate migration rate (m) separately from divergence time (Nielsen & Wakeley 2001; Hey & Nielsen 2004; Hey 2006; Nosil 2008), thereby allowing IBA to be tested while controlling for time since divergence.”
Phylogeny and phylogeography of Atlantic oyster species: evolutionary history, limited genetic connectivity and isolation by distance (2011, methodology): “We used the coalescent-based program MDIV (Nielsen & Wakeley 2001), on CBSU Web Computing Resources (http://cbsuapps.tc.cornell.edu/mdiv.aspx), to estimate the maximum likelihood values of theta (θ = 2Nefμ), scaled migration rate (M = Nefm), scaled time of divergence (T = t1/Nef), and time to most…”
The incomplete natural history of mitochondria (2004, background): “In particular, it is difficult to distinguish the patterns caused by recent introgression from those generated by incomplete lineage sorting from gene genealogies alone (Nielsen & Wakeley 2001).”
How to fail at species delimitation (2013, background): “For example, divergence population genetics (Hey & Nielsen 2004) models divergence among populations, and a number of approaches concerned with estimating population divergence have been developed (Nielsen & Wakeley 2001; Hey & Nielsen 2004; Gutenkunst et al. 2009).”
Molecular evidence for long-distance colonization in an Indo-Pacific seahorse lineage (2005, methodology): “In order to distinguish between isolation and gene flow as forces shaping the patterns of genetic diversity in the sampled seahorse populations, we analyzed the CR data using the program MDIV (Nielsen & Wakeley 2001).”
MTML-msBayes: Approximate Bayesian comparative phylogeographic inference from multiple taxa and multiple loci with rate heterogeneity (2011, methodology): “As theory predicts [54-56], we generally found that estimates of Ω and E( τ ) became less reliable with increasing migration (Figures 6 (the number of taxon-pairs).”