Fine-scale spatial genetic structure and within population male-biased gene-flow in the grasshopper Mioscirtus wagneri
- 224 Downloads
Dispersal is a life history trait that plays a key role in population dynamics, determining gene flow and influencing the size, structure and persistence of populations. For these reasons, the study of the genetic consequences of dispersal can be considered a central topic in both conservation and population genetics. In this study we examine the patterns of fine-scale genetic structure within two populations of the grasshopper Mioscirtus wagneri (Orhoptera: Acrididae). For this purpose, we have used seven species-specific microsatellite markers to type 266 individuals from two populations (Peña Hueca and El Salobral) located in Central Spain. We have found subtle genetic differentiation between some sampling patches and significant kinship structures up to 25 m distance which were particularly patent for females. In Peña Hueca locality, patterns of isolation-by-distance at both the patch scale and the individual level have also revealed an association between genetic differentiation/similarity and geographical distance in females but not in males. Overall, these data suggest a fine-scale spatial genetic substructure in the studied populations which seems to be mainly driven by female philopatry. Such pattern of within population genetic structure together with the inferred restricted dispersal distances is likely to contribute to reduce effective population sizes and inter-population gene flow. This can erode genetic variability and limit the colonization ability of this orthoptera, factors which can ultimately compromise the long-term persistence of their small size and isolated populations.
KeywordsGenetic structure Isolation by distance Microsatellites Mioscirtus wagneri Sex-biased dispersal
We wish to thank José Miguel Aparicio for advice on some statistical analyses. The Editors from Evolutionary Ecology and two anonymous referees provided useful discussion and valuable comments on an earlier draft of this manuscript. This work received financial support from the projects PCI08-0130 and POII09-0198-8057 (JCCM) and CGL2008-00095/BOS (MICINN). Specimens were captured under license from the Junta de Comunidades de Castilla-La Mancha (JCCM). The study was funded by a post-doctoral JAE-Doc (CSIC) contract (to J.O.) and a research contract from the Junta de Comunidades de Castilla-La Mancha/European Social Fund (to P.A.).
- Clobert J, Danchin E, Dhondt AA, Nichols JD (2001) Dispersal. Oxford University Press, OxfordGoogle Scholar
- Excoffier L, Laval G, Schneider S (2005) Arlequin ver. 3.0: an integrated software package for population genetics data analysis. Evol Bioinform Online 1:47–50Google Scholar
- Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics, 3rd edn. Longman, HarlowGoogle Scholar
- Goudet J (2001) FSTAT, a program to estimate and test gene diversities and fixation indices, version 2.9.3. Lausanne University, LausanneGoogle Scholar
- Guo SW, Thompson EA (1992) A monte-carlo method for combined segregation and linkage analysis. Am J Hum Gen 51:1111–1126Google Scholar
- Jensen JL, Bohonak AJ, Kelley ST (2005) Isolation by distance, web service. BMC Gen 6:13Google Scholar
- Lambin X, Aars J, Piertney SB (2001) Dispersal, intraspecific competition, kin competition and kin facilitation: a review of empirical evidence. In: Clobert J, Danchin E, Dhondt AA, Nichols JD (eds) Dispersal. Oxford University Press, Oxford, pp 123–142Google Scholar
- Watts PC, Rousset F, Saccheri IJ, Leblois R, Kemp SJ, Thompson DJ (2007) Compatible genetic and ecological estimates of dispersal rates in insect (Coenagrion mercuriale: Odonata : Zygoptera) populations: analysis of ‘neighbourhood size’ using a more precise estimator. Mol Ecol 16:737–751PubMedCrossRefGoogle Scholar
- Wright S (1969) Evolution and the genetics of populations, vol. 2. The theory of gene frequencies. University of Chicago Press, ChicagoGoogle Scholar
- Wright S (1978) Evolution and the genetics of populations, vol. 4: variability within and among natural populations. University of Chicago Press, ChicagoGoogle Scholar