Literature DB >> 19228187

Learning about modes of speciation by computational approaches.

Céline Becquet1, Molly Przeworski.   

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.

Mesh:

Year:  2009        PMID: 19228187     DOI: 10.1111/j.1558-5646.2009.00662.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  42 in total

Review 1.  Molecular phylogenetics: principles and practice.

Authors:  Ziheng Yang; Bruce Rannala
Journal:  Nat Rev Genet       Date:  2012-03-28       Impact factor: 53.242

2.  Evaluating the role of contracting and expanding rainforest in initiating cycles of speciation across the Isthmus of Panama.

Authors:  Brian Tilston Smith; Amei Amei; John Klicka
Journal:  Proc Biol Sci       Date:  2012-06-06       Impact factor: 5.349

3.  On the occurrence of false positives in tests of migration under an isolation-with-migration model.

Authors:  Jody Hey; Yujin Chung; Arun Sethuraman
Journal:  Mol Ecol       Date:  2015-10-12       Impact factor: 6.185

4.  How robust are "isolation with migration" analyses to violations of the im model? A simulation study.

Authors:  Jared L Strasburg; Loren H Rieseberg
Journal:  Mol Biol Evol       Date:  2009-09-30       Impact factor: 16.240

5.  Isolation with migration models for more than two populations.

Authors:  Jody Hey
Journal:  Mol Biol Evol       Date:  2009-12-02       Impact factor: 16.240

6.  Demographic factors shaped diversity in the two gene pools of wild common bean Phaseolus vulgaris L.

Authors:  S Mamidi; M Rossi; S M Moghaddam; D Annam; R Lee; R Papa; P E McClean
Journal:  Heredity (Edinb)       Date:  2012-11-21       Impact factor: 3.821

7.  Polymorphism and Divergence in Two Willow Species, Salix viminalis L. and Salix schwerinii E. Wolf.

Authors:  Sofia Berlin; Johan Fogelqvist; Martin Lascoux; Ulf Lagercrantz; Ann Christin Rönnberg-Wästljung
Journal:  G3 (Bethesda)       Date:  2011-10-01       Impact factor: 3.154

Review 8.  Inference of population history by coupling exploratory and model-driven phylogeographic analyses.

Authors:  Ryan C Garrick; Adalgisa Caccone; Paul Sunnucks
Journal:  Int J Mol Sci       Date:  2010-03-24       Impact factor: 5.923

9.  A likelihood ratio test of speciation with gene flow using genomic sequence data.

Authors:  Ziheng Yang
Journal:  Genome Biol Evol       Date:  2010-07-12       Impact factor: 3.416

10.  Composite likelihood estimation of demographic parameters.

Authors:  Daniel Garrigan
Journal:  BMC Genet       Date:  2009-11-12       Impact factor: 2.797

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.