Relative sensitivity of neutral versus adaptive genetic data for assessing population differentiation

Conservation Genetics

Volumn 13, Issue 5, 2012, Pages 1421-1426

  Landguth, Erin L ^a   Balkenhol, Niko ^b  

^a UNIVERSITY OF MONTANA   (United States)

^b UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

Barriers; CDPOP; Computer simulations; D est; Gene flow; Landscape genetics; Migration rates; Spatial selection gradients; Two locus selection

Indexed keywords

ADAPTATION; ASSESSMENT METHOD; COMPUTER SIMULATION; DATA SET; GENE FLOW; GENETIC DIFFERENTIATION; GENETIC MARKER; HABITAT FRAGMENTATION; HABITAT LOSS; MIGRATION; POPULATION SIZE; SELECTION; SENSITIVITY ANALYSIS; SPECIATION (BIOLOGY);

EID: 84865425554     PISSN: 15660621     EISSN: 15729737     Source Type: Journal    
DOI: 10.1007/s10592-012-0354-x     Document Type: Article

References (20)

1. Angeloni F, Wagemaker N, Vergeer P, Ouborg J (2011) Genomic toolboxes for conservation biologists. Evol Appl. doi: 10. 1111/j. 1752-4571. 2011. 00217. x.
2. Bonin A, Nicole F, Pompanon F, Miaud C, Taberlet P (2007) Population adaptive index: a new method to help measure intraspecific genetic diversity and prioritize populations for conservation. Conserv Biol 21: 697-708.
3. Eimes JA, Bollmer JL, Whittingham LA et al (2011) Rapid loss of MHC class II variation in a bottlenecked population is explained by drift and loss of copy number variation. J Evol Biol 24: 1847-1856.
4. Frankham R (2006) Genetics and landscape connectivity. In: Crooks KR, Sanjayan M (eds) Connectivity conservation. Cambridge University Press, New York, pp 72-96.
5. Gavrilets S (2004) Fitness landscapes and the origin of species. Princeton University Press, Princeton, NJ.
6. Hoffmann AA, Willi Y (2008) Detecting genetic responses to environmental change. Nat Rev Genet 9(421): 432.
7. Holderegger R, Wagner HH (2008) Landscape genetics. BioSciences 58: 199-207.
8. Jost L (2008) GST and its relatives do not measure differentiation. Mol Ecol 17: 4015-4026.
9. Landguth EL, Cushman SA (2010) CDPOP: a spatially-explicit cost distance population genetics program. Mol Ecol Resour 10: 156-161.
10. Landguth EL, Cushman SA, Murphy M, Luikart G (2010) Relationships between migration rates and landscape resistance assessed using individual-based simulations. Mol Ecol Resour 10: 854-862.
11. Landguth EL, Cushman SA, Johnson NA (2012) Simulating natural selection in landscape genetics. Mol Ecol Resour 12: 363-368.
12. Luikart G, England PR, Tallman D, Jordan S, Taberlet P (2003) The power and promise of populations genomics: from genotyping to genome typing. Nat Rev Genet 4: 1811-1832.
13. Manel S, Joost S, Epperson BK et al (2010) Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field. Mol Ecol 19: 3760-3772.
14. Michel AP, Sim S, Powell THQ, Taylor MS, Nosil P, Feder JL (2010) Widespread genomic divergence during sympatric speciation. Proc Natl Acad Sci 107: 9724-9729.
15. Palsbøll PJ, Bérubé M, Allendorf FW (2007) Identification of management units using population genetic data. Trends Ecol Evol 22: 11-16.
16. Schwartz MK, Luikart G, McKelvey KS, Cushman SA (2010) Landscape genomics: a brief perspective. In: Cushman SA, Huettmann F (eds) Spatial complexity, informatics, and wildlife conservation. Springer, Heidelberg, pp 165-174. doi: 10. 1007/978-4-431-87771-4_9.
17. Storfer A, Murphy MA, Spear SF, Holderegger R, Waits LP (2010) Landscape genetics: where are we now? Mol Ecol 19: 3496-3514.
18. Sutton J, Nakagawa S, Robertson BC, Jamieson IG (2011) Disentangling the roles of natural selection and genetic drift in shaping variation at MHC immunity genes. Mol Ecol 20: 4408-4420.
19. Vitalis R, Dawson K, Boursot P (2001) Interpretation of variation across marker loci as evidence of selection. Genetics 158: 1811-1823.
20. Wright S (1932) The roles of mutation, inbreeding, crossbreeding and selection in evolution. Proc VI Int Congress Genet 1: 356-366.