Likelihood analysis of ongoing gene flow and historical association

Citation
R. Nielsen et M. Slatkin, Likelihood analysis of ongoing gene flow and historical association, EVOLUTION, 54(1), 2000, pp. 44-50
Citations number
14
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Biology,"Experimental Biology
Journal title
EVOLUTION
ISSN journal
0014-3820 → ACNP
Volume
54
Issue
1
Year of publication
2000
Pages
44 - 50
Database
ISI
SICI code
0014-3820(200002)54:1<44:LAOOGF>2.0.ZU;2-Y
Abstract
We develop a Monte Carlo-based likelihood method for estimating migration r ates and population divergence times from data at unlinked loci at which mu tation rates are sufficiently low that, in the recent past, the effects of mutation can be ignored. The method is applicable to restriction fragment l ength polymorphisms (RFLPs) and single nucleotide polymorphisms (SNPs) samp led from a subdivided population. The method produces joint maximum-likelih ood estimates of the migration rate and the time of population divergence, both scaled by population size, and provides a framework in which to test e ither for no ongoing gene flow or for population divergence in the distant past. We show the method performs well and provides reasonably accurate est imates of parameters even when the assumptions under which those estimates are obtained are not completely satisfied. Furthermore, we show that, provi ded that the number of polymorphic loci is sufficiently large, there is som e power to distinguish between ongoing gene how and historical association as causes of genetic similarity between pairs of populations.