scholarly journals Effective population size associated with self-fertilization: lessons from temporal changes in allele frequencies in the selfing annual Medicago truncatula

2007 ◽  
Vol 20 (6) ◽  
pp. 2349-2360 ◽  
Author(s):  
M. SIOL ◽  
I. BONNIN ◽  
I. OLIVIERI ◽  
J. M. PROSPERI ◽  
J. RONFORT
2004 ◽  
Vol 13 (9) ◽  
pp. 2617-2630 ◽  
Author(s):  
JEFF A. JOHNSON ◽  
M. RENEE BELLINGER ◽  
JOHN E. TOEPFER ◽  
PETER DUNN

Parasitology ◽  
2012 ◽  
Vol 140 (1) ◽  
pp. 21-28 ◽  
Author(s):  
J. J. SCHALL ◽  
K. M. ST. DENIS

SUMMARYChanges in population allele frequencies may be driven by several forces, including selection and drift, and are revealed only by sampling over many generations. Such studies, however, are rare for protist parasites. Microsatellite allele frequencies for 4 loci were followed in a population of Plasmodium mexicanum, a malaria parasite of lizards in California USA at 1 site from 1978 to 2010. Rapid turnover of the lizards indicates the parasite was studied for a minimum of 33 transmission cycles and possibly twice that number. Sample sizes ranged from 841 to 956 scored parasite clones per locus. DNA was extracted from frozen dried blood and blood removed from stained blood smears from the earliest years, and a verification study demonstrated DNA from the blood smears provided valid genetic data. Parasite prevalence and effective population size (Ne) dropped after 2000, remaining lower for the next decade. For 2 loci, allele frequencies appeared stable for the first 2 decades of the study, but changed more rapidly after the decline in prevalence. Allele frequencies changed more gradually for the other 2 loci. Genetic drift could account for changes in allele frequencies, especially after the drop in prevalence and Ne, but the force of selection could also have driven the observed patterns.


Genetics ◽  
1985 ◽  
Vol 110 (3) ◽  
pp. 495-511
Author(s):  
Laurence D Mueller ◽  
Bruce A Wilcox ◽  
Paul R Ehrlich ◽  
David G Heckel ◽  
Dennis D Murphy

ABSTRACT Estimates of allele frequencies at six polymorphic loci were collected over eight generations in two populations of Euphydryas editha. We have estimated, in addition, the effective population size for each generation for both populations with results from mark-recapture and other field data. The variation in allele frequencies generated by random genetic drift was then studied using computer simulations and our direct estimates of effective population size. Substantial differences between observed values and computer-generated expected values assuming drift alone were found for three loci (Got, Hk, Pgi) in one population. These observations are consistent with natural selection in a variable environment.


Genetics ◽  
2000 ◽  
Vol 156 (4) ◽  
pp. 2063-2079 ◽  
Author(s):  
Shuichi Kitada ◽  
Takeshi Hayashi ◽  
Hirohisa Kishino

Abstract We developed an empirical Bayes procedure to estimate genetic distances between populations using allele frequencies. This procedure makes it possible to describe the skewness of the genetic distance while taking full account of the uncertainty of the sample allele frequencies. Dirichlet priors of the allele frequencies are specified, and the posterior distributions of the various composite parameters are obtained by Monte Carlo simulation. To avoid overdependence on subjective priors, we adopt a hierarchical model and estimate hyperparameters by maximizing the joint marginal-likelihood function. Taking advantage of the empirical Bayesian procedure, we extend the method to estimate the effective population size using temporal changes in allele frequencies. The method is applied to data sets on red sea bream, herring, northern pike, and ayu broodstock. It is shown that overdispersion overestimates the genetic distance and underestimates the effective population size, if it is not taken into account during the analysis. The joint marginal-likelihood function also estimates the rate of gene flow into island populations.


Genetics ◽  
1999 ◽  
Vol 152 (2) ◽  
pp. 755-761 ◽  
Author(s):  
Ellen G Williamson ◽  
Montgomery Slatkin

Abstract We develop a maximum-likelihood framework for using temporal changes in allele frequencies to estimate the number of breeding individuals in a population. We use simulations to compare the performance of this estimator to an F-statistic estimator of variance effective population size. The maximum-likelihood estimator had a lower variance and smaller bias. Taking advantage of the likelihood framework, we extend the model to include exponential growth and show that temporal allele frequency data from three or more sampling events can be used to test for population growth.


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