Evolutionary Anthropology Faculty Database
Evolutionary Anthropology
Arts & Sciences
Duke University

 HOME > Arts & Sciences > BAA > Faculty    Search Help Login pdf version printable version 
Evaluations

Publications [#227865] of Susan C. Alberts

search PubMed.

Papers Published

  1. Storz, JF; Ramakrishnan, U; Alberts, SC, Determinants of effective population size for loci with different modes of inheritance., The Journal of heredity, vol. 92 no. 6 (November, 2001), pp. 497-502, ISSN 0022-1503 [doi]
    (last updated on 2024/04/18)

    Abstract:
    Here we report an assessment of the determinants of effective population size (N(e)) in species with overlapping generations. Specifically, we used a stochastic demographic model to investigate the influence of different life-history variables on N(e)/N (where N = population census number) and the influence of sex differences in life-history variables on N(e) for loci with different modes of inheritance. We applied an individual-based modeling approach to two datasets: one from a natural population of savannah baboons (Papio cynocephalus) in the Amboseli basin of southern Kenya and one from a human tribal population (the Gainj of Papua New Guinea). Simulation-based estimates of N(e)/N averaged 0.329 for the Amboseli baboon population (SD = 0.116, 95% CI = 0.172 - 0.537) and 0.786 for the Gainj (SD = 0.184, 95% CI = 0.498 - 1.115). Although variance in male fitness had a substantial impact on N(e)/N in each of the two primate populations, ratios of N(e) values for autosomal and sex-linked loci exhibited no significant departures from Poisson-expected values. In each case, similarities in sex-specific N(e) values were attributable to the unexpectedly high variance in female fitness. Variance in male fitness resulted primarily from age-dependent variance in reproductive success, whereas variance in female fitness resulted primarily from stochastic variance in survival during the reproductive phase.


Duke University * Arts & Sciences * BAA * Faculty All * Postdoc Staff * Non-PHD Staff * Staff * Grads * Reload * Login