Conservation genetics: Applying evolutionary concepts to the conservation of biological diversity

Authors

  • Armando Caballero Rúa University of Vigo (Spain).

DOI:

https://doi.org/10.7203/metode.78.2452

Keywords:

genetic drift, inbreeding, extinction vortex, effective population size

Abstract

Greater understanding of the forces driving evolutionary change and influencing populations, together with the latest genetic analysis techniques, have helped conserve of biodiversity for the last twenty years. This new application of genetics is called conservation genetics.

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Author Biography

Armando Caballero Rúa, University of Vigo (Spain).

Full Professor of Genetics at the University of Vigo (Spain).

References

Allendorf, F. W.; Luikart, G. and S. N. Aitken, 2013. Conservation and the Genetics of Populations. 2nd edition. Wiley-Blackwell Publishing. Malden, USA.

Benito, C. and F. J. Espino, 2012. Genética, conceptos esenciales. Editorial Médica Panamericana. Madrid.

Frankham, R.; Ballou, J. D. and D. A. Briscoe, 2010. Introduction to Conservation Genetics. 2nd edition. Cambridge University Press. Cambridge.

Menotti-Raymond M. and S. J. O’Brien, 1995. «Evolutionary Conservation of Ten Microsatellite Loci in Four Species of Felidae». Journal of Heredity, 86(4): 319-322.

Oldenbroek, J. K., 1999. Genebanks and the Conservation of Farm Animal Genetic Resources. DLO Institute for Animal Sciences and Health. Lelystad, the Netherlands.

Toro, M. A., Fernández J. and A. Caballero, 2009. «Molecular Characterization of Breeds and Its Use in Conservation». Livestock Science, 120: 174-195. DOI: <10.1016/j.livsci.2008.07.003>.

Vargas, A., 2009. Conservación Ex-situ del Lince Ibérico: Un Enfoque Multidisciplinar. Fundación Biodiversidad. Madrid. Available at: <http://www.lynxexsitu.es/ficheros/documentos_pdf/37/bookexsituvargas2009_3.pdf>.

Published

2014-06-01

How to Cite

Caballero Rúa, A. (2014). Conservation genetics: Applying evolutionary concepts to the conservation of biological diversity. Metode Science Studies Journal, (4), 73–77. https://doi.org/10.7203/metode.78.2452
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Section

In light of evolution. Making sense of biotech applications

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