Effects of a range expansion on adaptive and neutral genetic diversity in dispersal limited Hazel grouse (Bonasa bonasia) in the French Alps
- 448 Downloads
Biogeographic range expansions, when related to dispersal limitation, may have counter intuitive effects on genetic diversity. At range margins the relative roles of demographic changes, connectivity and genetic diversity need to be integrated for a successful assessment of population viability. Historically the Hazel grouse (Bonasa bonasia) in France was found in the north of the French Alps and also in a disjunct population in the nearby Jura Mountains. The species has recently undergone a range expansion in a north to south axis in the Alps. Local population size estimates and migration patterns during expansion have previously been studied. In this study, we performed genotyping at neutral (microsatellite) and adaptive (MHC) genetic markers in Hazel grouse. We compared diversity and differentiation (FST and DEST) at three sampling localities along the expansion axis in the French Alps and Jura, as well as at two sampling localities in Sweden, where the population has had a long-term continuous and stable distribution. Strong serial founder effects were found between the French localities, resulting in stronger isolation further south, with a relatively high neutral differentiation (pair-wise FST = 0.117). However, the loss of adaptive diversity MHC was slight. No adaptive differentiation (MHC DEST = −0.015) was observed, thus, the French localities can be considered uniform units with regard to MHC diversity, a criterion to treat populations in these localities as a management unit.
KeywordsAdaptive genetic diversity MHC Microsatellites Migration Biogeography Range expansion Dispersal limitation
We are grateful to several anonymous reviewers, Yvonne Meyer-Lucht, Eleanor Jones and other members of the Höglund research group for helpful discussions and comments on the manuscript. We also thank Robin Strand for calculating the binomial probability for MHC data, and Eleftheria Palkopoulou for assistance in the lab.
- Frankham R, Ballou JD, Briscoe DA (2009) Introduction to conservation genetics. Cambridge University Press, CambridgeGoogle Scholar
- Goudet J (1995) FSTAT (Version 1.2): a computer program to calculate F-statistics. J Hered 86:485–486Google Scholar
- Meyer-Lucht Y, Mulder KP, James MC, McMahon BJ, Buckley K, Piertney SB, Höglund J Adaptive and neutral genetic differentiation among Scottish and endangered Irish ted grouse (Lacopus lagopus scotica). Conservation Genetics (in press)Google Scholar
- Milinski M, Griffiths SW, Reusch TBH, Boehm T (2010) Costly major histocompatibility complex signals produced only by reproductively active males, but not females, must be validated by a ‘maleness signal’ in three-spined sticklebacks. Proc R Soc B 277:391–398CrossRefPubMedPubMedCentralGoogle Scholar
- Montadert M, Léonard P (2003) Survival in an expanding hazel grouse Bonasa bonasia population in the southeastern French Alps. Wildl Biol 9:357–364Google Scholar
- Nei M (1987) Molecular evolutionary genetics. Columbia University Press, New YorkGoogle Scholar
- Petit RJ, Aguinagalde I, Beaulieu JL, Bittkau C, Brewer S, Cheddadi R, Ennos R, Fineschi S, Grivet D, Lascoux M, Mohanty A, Müller-Starck G, Demesure-Musch B, Palmé A, Marti JP, Rendell S, Vendramin GG (2003) Glacial refugia: hotspots but not melting pots of genetic diversity. Science 300:1563–1565CrossRefPubMedGoogle Scholar
- Raymond M, Rousset F (1995) GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. J Hered 86:248–249Google Scholar
- Storch I (2000) Grouse status survey and conservation action plan 2000–2004. WPA/BirdLife/SSC Grouse Specialist Group, CambridgeGoogle Scholar
- Zegers G (2000) Genetic variability and resistance to infectious disease with particular emphasis on the major histocompatibility complex in the valley pocket gopher. Ph.D. thesis, University of California, Santa CruzGoogle Scholar