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Conservation genetics as a management tool: The five best-supported paradigms to assist the management of threatened species.
Willi, Yvonne; Kristensen, Torsten N; Sgrò, Carla M; Weeks, Andrew R; Ørsted, Michael; Hoffmann, Ary A.
  • Willi Y; Department of Environmental Sciences, University of Basel, 4056 Basel, Switzerland.
  • Kristensen TN; Department of Chemistry and Bioscience, Aalborg University, Aalborg 9220, Denmark.
  • Sgrò CM; School of Biological Sciences, Monash University, Melbourne, VIC 3800, Australia.
  • Weeks AR; School of BioSciences, Bio21 Institute, University of Melbourne, Melbourne, VIC 3010, Australia.
  • Ørsted M; Cesar Australia, Brunswick, VIC 3056, Australia.
  • Hoffmann AA; Department of Chemistry and Bioscience, Aalborg University, Aalborg 9220, Denmark.
Proc Natl Acad Sci U S A ; 119(1)2022 01 04.
Article en En | MEDLINE | ID: mdl-34930821
About 50 y ago, Crow and Kimura [An Introduction to Population Genetics Theory (1970)] and Ohta and Kimura [Genet. Res. 22, 201-204 (1973)] laid the foundations of conservation genetics by predicting the relationship between population size and genetic marker diversity. This work sparked an enormous research effort investigating the importance of population dynamics, in particular small population size, for population mean performance, population viability, and evolutionary potential. In light of a recent perspective [J. C. Teixeira, C. D. Huber, Proc. Natl. Acad. Sci. U.S.A. 118, 10 (2021)] that challenges some fundamental assumptions in conservation genetics, it is timely to summarize what the field has achieved, what robust patterns have emerged, and worthwhile future research directions. We consider theory and methodological breakthroughs that have helped management, and we outline some fundamental and applied challenges for conservation genetics.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Variación Genética / Densidad de Población / Especies en Peligro de Extinción / Genética de Población Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Variación Genética / Densidad de Población / Especies en Peligro de Extinción / Genética de Población Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Año: 2022 Tipo del documento: Article