Translator Disclaimer
1 January 2000 LIKELIHOOD ANALYSIS OF ONGOING GENE FLOW AND HISTORICAL ASSOCIATION
Author Affiliations +
Abstract

We develop a Monte Carlo–based likelihood method for estimating migration rates and population divergence times from data at unlinked loci at which mutation rates are sufficiently low that, in the recent past, the effects of mutation can be ignored. The method is applicable to restriction fragment length polymorphisms (RFLPs) and single nucleotide polymorphisms (SNPs) sampled from a subdivided population. The method produces joint maximum-likelihood estimates of the migration rate and the time of population divergence, both scaled by population size, and provides a framework in which to test either for no ongoing gene flow or for population divergence in the distant past. We show the method performs well and provides reasonably accurate estimates of parameters even when the assumptions under which those estimates are obtained are not completely satisfied. Furthermore, we show that, provided that the number of polymorphic loci is sufficiently large, there is some power to distinguish between ongoing gene flow and historical association as causes of genetic similarity between pairs of populations.

Corresponding Editor: E. Zouros

Rasmus Nielsen and Montgomery Slatkin "LIKELIHOOD ANALYSIS OF ONGOING GENE FLOW AND HISTORICAL ASSOCIATION," Evolution 54(1), 44-50, (1 January 2000). https://doi.org/10.1554/0014-3820(2000)054[0044:LAOOGF]2.0.CO;2
Received: 8 July 1998; Accepted: 1 September 1999; Published: 1 January 2000
JOURNAL ARTICLE
7 PAGES

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

SHARE
ARTICLE IMPACT
RIGHTS & PERMISSIONS
Get copyright permission
Back to Top