Comparison of adult census size and effective population size support the need for continued protection of two Solomon Island endemics

2021 ◽  
pp. 1-10
Author(s):  
Sarah A. Cowles ◽  
Brian C. Weeks ◽  
Lindsey Perrin ◽  
Nancy Chen ◽  
J. Albert C. Uy
2015 ◽  
Vol 24 (1) ◽  
pp. 31
Author(s):  
Muhamad Sabran

Effective population size is defined as the number of breeding individual in an idealized population that would show the same amount of dispersion of allele frequencies under random genetic drift or the same amount of inbreeding as the population under consideration. Effective population size depends on the census size of the population and the mating system. In autotetraploid population, effective population size also depends on the probability of double reduction, i.e., a meiotic event when two sister chromatids end in the same gamete. In this research, we will study the effect of the probability of double reduction on the effective size of autotetraploid population reproduced by partial selfing. The formula for the effective population size was derived by equating the variance of the change in gene frequency in idealized population and its value in the autotetraploid population with arbitrary rate of partial selfing and double reduction. The resulted formula, and numerical study based on the formula, indicated that the effective size decreases by the increase of probability of double reduction and the rate of selfing. When there is complete selfing, however, the effective size is not affected by the probability of double reduction.


Genetics ◽  
1997 ◽  
Vol 147 (3) ◽  
pp. 1249-1258 ◽  
Author(s):  
Loren M Miller ◽  
Anne R Kapuscinski

Effective population size (Ne) of a natural fish population was estimated from temporal changes in allele frequencies at seven microsatellite loci. Use of a historical collection of fish scales made it possible to increase the precision of estimates by increasing the time interval between samples and to use an equation developed for discrete generations without correcting for demographic parameters. Estimates of Ne for the time intervals 1961–1977 and 1977–1993 were 35 and 72, respectively. For the entire interval, 1961–1993, the estimate of Ne was 48 when based on a weighted mean derived from the above two estimates or 125 when calculated from 1961 and 1993 samples only. Corresponding ratios of effective size to adult census size ranged from 0.03 to 0.14. An Ne of 48 over a 32-year period would imply that this population lost as much as 8% of its heterozygosity in that time. Results suggest the potential for using genetic methods based on microsatellite loci data to compare historical trends in Ne with population dynamic parameters. Such comparisons will help to evaluate the relationship between genetic diversity and long-term persistence of natural populations.


Genetics ◽  
1983 ◽  
Vol 104 (3) ◽  
pp. 531-548
Author(s):  
Edward Pollak

ABSTRACT A new procedure is proposed for estimating the effective population size, given that information is available on changes in frequencies of the alleles at one or more independently segregating loci and the population is observed at two or more separate times. Approximate expressions are obtained for the variances of the new statistic, as well as others, also based on allele frequency changes, that have been discussed in the literature. This analysis indicates that the new statistic will generally have a smaller variance than the others. Estimates of effective population sizes and of the standard errors of the estimates are computed for data on two fly populations that have been discussed in earlier papers. In both cases, there is evidence that the effective population size is very much smaller than the minimum census size of the population.


2013 ◽  
Vol 280 (1768) ◽  
pp. 20131339 ◽  
Author(s):  
Robin S. Waples ◽  
Gordon Luikart ◽  
James R. Faulkner ◽  
David A. Tallmon

Effective population size ( N e ) controls both the rate of random genetic drift and the effectiveness of selection and migration, but it is difficult to estimate in nature. In particular, for species with overlapping generations, it is easier to estimate the effective number of breeders in one reproductive cycle ( N b ) than N e per generation. We empirically evaluated the relationship between life history and ratios of N e , N b and adult census size ( N ) using a recently developed model ( agene ) and published vital rates for 63 iteroparous animals and plants. N b / N e varied a surprising sixfold across species and, contrary to expectations, N b was larger than N e in over half the species. Up to two-thirds of the variance in N b / N e and up to half the variance in N e / N was explained by just two life-history traits (age at maturity and adult lifespan) that have long interested both ecologists and evolutionary biologists. These results provide novel insights into, and demonstrate a close general linkage between, demographic and evolutionary processes across diverse taxa. For the first time, our results also make it possible to interpret rapidly accumulating estimates of N b in the context of the rich body of evolutionary theory based on N e per generation.


Genetics ◽  
1981 ◽  
Vol 98 (3) ◽  
pp. 625-640
Author(s):  
Masatoshi Nei ◽  
Fumio Tajima

ABSTRACT The statistical properties of the standardized variance of gene frequency changes (a quantity equivalent to Wright's inbreeding coefficient) in a random mating population are studied, and new formulae for estimating the effective population size are developed. The accuracy of the formulae depends on the ratio of sample size to effective size, the number of generations involved (t), and the number of loci or alleles used. It is shown that the standardized variance approximately follows the Χ2 distribution unless t is very large, and the confidence interval of the estimate of effective size can be obtained by using this property. Application of the formulae to data from an isolated population of Dacus oleae has shown that the effective size of this population is about one tenth of the minimum census size, though there was a possibility that the procedure of sampling genes was improper.


2009 ◽  
Vol 60 (8) ◽  
pp. 873 ◽  
Author(s):  
Meaghan L. Rourke ◽  
Helen C. McPartlan ◽  
Brett A. Ingram ◽  
Andrea C. Taylor

Stocking of freshwater fish species with hatchery-bred fish is a common response to depleted wild stocks, but may have numerous genetic implications. Murray cod, Maccullochella peelii peelii (Mitchell), have been produced in captivity for wild stocking programs for more than 30 years. The potential genetic impacts of this stocking program on wild populations was investigated by using eight microsatellite markers to determine the parentage of 1380 offspring from 46 separate spawnings collected over three consecutive breeding seasons, and by estimating the effective population size of the broodfish generation through demographic and genetic methods. Results revealed unexpected incidences of polygamous spawnings (both polygyny and polyandry), multiple spawnings by both sexes within a season and repeated matings between pairs of fish across multiple seasons. Furthermore, approximately half of the broodfish failed to spawn at all over the 3-year study period. This likely contributed to the estimated effective population size of around half of the census size, moderate but significant reductions in allelic richness in all three cohorts investigated and a small but significant reduction in heterozygosity in two cohorts. These results allowed us to make recommendations regarding captive husbandry that will maximise genetic diversity of fish intended for stocking.


2021 ◽  
Author(s):  
Robin S. Waples ◽  
Pierre Feutry

AbstractThe last two decades have witnessed rapid developments and increasing interest in use of (1) genetic methods to estimate effective population size (Ne) and (2) close-kin mark-recapture (CKMR) methods to estimate abundance based on the incidence of close relatives. Whereas Ne-estimation methods have been applied to a wide range of taxa, all CKMR applications to date have been for aquatic species. These two fields of inquiry have developed largely independently, and this is unfortunate because deepest insights can be gained by joint evaluation of eco-evolutionary processes. In this synthesis, we outline factors (life-history traits; experimental design; stochasticity; ancillary information) that should be considered in identifying good candidate species and determining sampling/analytical regimes that can produce meaningful estimates. We show that the Ne/N ratio and the probability of a close-kin match both depend on a vector of parental weights that specify relative probabilities that different individuals will produce offspring. Although age-specific vital rates are central to both methodologies, for CKMR they are nuisance parameters that can bias abundance estimates unless properly accounted for, whereas they represent the signals of genetic drift that Ne estimation methods depend on. The most robust implementations of CKMR incorporate information from both parent-offspring pairs and siblings into a single, overarching framework, within which all demographic parameters can be jointly estimated in a way that allows coherent statements about uncertainty. Coordinating Ne and CKMR estimation methods using the same or overlapping datasets would facilitate joint evaluation of both the ecological and evolutionary consequences of abundance.


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