Translator Disclaimer
1 October 2009 Learning about Modes of Speciation by Computational Approaches
Céline Becquet, Molly Przeworski
Author Affiliations +
Abstract

How often do the early stages of speciation occur in the presence of gene flow? To address this enduring question, a number of recent papers have used computational approaches, estimating parameters of simple divergence models from multilocus polymorphism data collected in closely related species. Applications to a variety of species have yielded extensive evidence for migration, with the results interpreted as supporting the widespread occurrence of parapatric speciation. Here, we conduct a simulation study to assess the reliability of such inferences, using a program that we recently developed MCMC estimation of the isolation-migration model allowing for recombination (MIMAR) as well as the program isolation-migration (IM) of Hey and Nielsen (2004). We find that when one of many assumptions of the isolation—migration model is violated, the methods tend to yield biased estimates of the parameters, potentially lending spurious support for allopatric or parapatric divergence. More generally, our results highlight the difficulty in drawing inferences about modes of speciation from the existing computational approaches alone.

© 2009 The Society for the Study of Evolution.
Céline Becquet and Molly Przeworski "Learning about Modes of Speciation by Computational Approaches," Evolution 63(10), 2547-2562, (1 October 2009). https://doi.org/10.1111/j.1558-5646.2009.00662.x
Received: 7 November 2008; Accepted: 1 January 2009; Published: 1 October 2009
JOURNAL ARTICLE
16 PAGES

This article is only available to subscribers.
It is not available for individual sale.
+ SAVE TO MY LIBRARY

Share
SHARE
KEYWORDS
models/simulations
population genetics
speciation
ARTICLE IMPACT
RIGHTS & PERMISSIONS
Get copyright permission
Back to Top