Temporal estimates of effective population size in species with overlapping generations.

Full Abstract

The standard temporal method for estimating effective population size (N(e)) assumes that generations are discrete, but it is routinely applied to species with overlapping generations. We evaluated bias in the estimates N(e) caused by violation of this assumption, using simulated data for three model species:
humans (type I survival), sparrow (type II), and barnacle (type III). We verify a previous proposal by Felsenstein that weighting individuals by reproductive value is the correct way to calculate parametric population allele frequencies, in which case the rate of change in age-structured populations conforms to that predicted by discrete-generation models. When the standard temporal method is applied to age-structured species, typical sampling regimes (sampling only newborns or adults; randomly sampling the entire population) do not yield properly weighted allele frequencies and result in biased N(e). The direction and magnitude of the bias are shown to depend on the sampling method and the species' life history. Results for populations that grow (or decline) at a constant rate paralleled those for populations of constant size. If sufficient demographic data are available and certain sampling restrictions are met, the Jorde-Ryman modification of the temporal method can be applied to any species with overlapping generations. Alternatively, spacing the temporal samples many generations apart maximizes the drift signal compared to sampling biases associated with age structure.

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Author information

Author/s: Waples, Robin S (RS); Yokota, Masashi (M);

Affiliation: Northwest Fisheries Science Center, Seattle, Washington 98112, USA. robin.waples@noaa.gov

Journal and publication information

Publication Type: Comparative Study; Journal Article

Journal: Genetics (Genetics), published in United States. (Language: eng)

Reference: 2007-Jan; vol 175 (issue 1) : pp 219-33

Dates: Created 2007/01/24; Completed 2007/04/03;

PMID: 17110487, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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