Your browser doesn't support javascript.
loading
Deleterious Variation in Natural Populations and Implications for Conservation Genetics.
Robinson, Jacqueline; Kyriazis, Christopher C; Yuan, Stella C; Lohmueller, Kirk E.
Afiliación
  • Robinson J; Institute for Human Genetics, University of California, San Francisco, California, USA; email: jacqueline.robinson@ucsf.edu.
  • Kyriazis CC; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA; email: ckyriazis@g.ucla.edu, scy8@g.ucla.edu, klohmueller@ucla.edu.
  • Yuan SC; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA; email: ckyriazis@g.ucla.edu, scy8@g.ucla.edu, klohmueller@ucla.edu.
  • Lohmueller KE; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA; email: ckyriazis@g.ucla.edu, scy8@g.ucla.edu, klohmueller@ucla.edu.
Annu Rev Anim Biosci ; 11: 93-114, 2023 02 15.
Article en En | MEDLINE | ID: mdl-36332644
ABSTRACT
Deleterious mutations decrease reproductive fitness and are ubiquitous in genomes. Given that many organisms face ongoing threats of extinction, there is interest in elucidating the impact of deleterious variation on extinction risk and optimizing management strategies accounting for such mutations. Quantifying deleterious variation and understanding the effects of population history on deleterious variation are complex endeavors because we do not know the strength of selection acting on each mutation. Further, the effect of demographic history on deleterious mutations depends on the strength of selection against the mutation and the degree of dominance. Here we clarify how deleterious variation can be quantified and studied in natural populations. We then discuss how different demographic factors, such as small population size, nonequilibrium population size changes, inbreeding, and gene flow, affect deleterious variation. Lastly, we provide guidance on studying deleterious variation in nonmodel populations of conservation concern.
Asunto(s)
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Genética de Población / Modelos Genéticos Idioma: En Revista: Annu Rev Anim Biosci Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Genética de Población / Modelos Genéticos Idioma: En Revista: Annu Rev Anim Biosci Año: 2023 Tipo del documento: Article