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Inferring recent historic abundance from current genetic diversity.
Palsbøll, Per J; Zachariah Peery, M; Olsen, Morten T; Beissinger, Steven R; Bérubé, Martine.
Afiliación
  • Palsbøll PJ; Marine Evolution and Conservation, Centre of Evolutionary and Ecological Studies, University of Groningen, PO Box 11103 CC, Groningen, The Netherlands. p.j.palsboll@rug.nl
Mol Ecol ; 22(1): 22-40, 2013 Jan.
Article en En | MEDLINE | ID: mdl-23181682
ABSTRACT
Recent historic abundance is an elusive parameter of great importance for conserving endangered species and understanding the pre-anthropogenic state of the biosphere. The number of studies that have used population genetic theory to estimate recent historic abundance from contemporary levels of genetic diversity has grown rapidly over the last two decades. Such assessments often yield unexpectedly large estimates of historic abundance. We review the underlying theory and common practices of estimating recent historic abundance from contemporary genetic diversity, and critically evaluate the potential issues at various estimation steps. A general issue of mismatched spatio-temporal scales between the estimation itself and the objective of the estimation emerged from our assessment; genetic diversity-based estimates of recent historic abundance represent long-term averages, whereas the objective typically is an estimate of recent abundance for a specific population. Currently, the most promising approach to estimate the difference between recent historic and contemporary abundance requires that genetic data be collected from samples of similar spatial and temporal duration. Novel genome-enabled inference methods may be able to utilize additional information of dense genome-wide distributions of markers, such as of identity-by-descent tracts, to infer recent historic abundance from contemporary samples only.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Variación Genética / Genética de Población / Modelos Genéticos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Mol Ecol Asunto de la revista: BIOLOGIA MOLECULAR / SAUDE AMBIENTAL Año: 2013 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Variación Genética / Genética de Población / Modelos Genéticos Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Mol Ecol Asunto de la revista: BIOLOGIA MOLECULAR / SAUDE AMBIENTAL Año: 2013 Tipo del documento: Article País de afiliación: Países Bajos