Considering spatial and temporal scale in landscape-genetic studies of gene flow
- PMID: 20723051
- DOI: 10.1111/j.1365-294X.2010.04757.x
Considering spatial and temporal scale in landscape-genetic studies of gene flow
Abstract
Landscape features exist at multiple spatial and temporal scales, and these naturally affect spatial genetic structure and our ability to make inferences about gene flow. This article discusses how decisions about sampling of genotypes (including choices about analytical methods and genetic markers) should be driven by the scale of spatial genetic structure, the time frame that landscape features have existed in their current state, and all aspects of a species' life history. Researchers should use caution when making inferences about gene flow, especially when the spatial extent of the study area is limited. The scale of sampling of the landscape introduces different features that may affect gene flow. Sampling grain should be smaller than the average home-range size or dispersal distance of the study organism and, for raster data, existing research suggests that simplifying the thematic resolution into discrete classes may result in low power to detect effects on gene flow. Therefore, the methods used to characterize the landscape between sampling sites may be a primary determinant for the spatial scale at which analytical results are applicable, and the use of only one sampling scale for a particular statistical method may lead researchers to overlook important factors affecting gene flow. The particular analytical technique used to correlate landscape data and genetic data may also influence results; common landscape-genetic methods may not be suitable for all study systems, particularly when the rate of landscape change is faster than can be resolved by common molecular markers.
Similar articles
-
Utility of computer simulations in landscape genetics.Mol Ecol. 2010 Sep;19(17):3549-64. doi: 10.1111/j.1365-294X.2010.04678.x. Epub 2010 Jul 7. Mol Ecol. 2010. PMID: 20618894 Review.
-
Do landscape processes predict phylogeographic patterns in the wood frog?Mol Ecol. 2009 May;18(9):1863-74. doi: 10.1111/j.1365-294X.2009.04152.x. Epub 2009 Mar 19. Mol Ecol. 2009. PMID: 19302465
-
Interaction of landscape and life history attributes on genetic diversity, neutral divergence and gene flow in a pristine community of salmonids.Mol Ecol. 2009 Dec;18(23):4854-69. doi: 10.1111/j.1365-294X.2009.04409.x. Epub 2009 Oct 29. Mol Ecol. 2009. PMID: 19878451
-
Determinants of population genetic structure in eastern Chipmunks (Tamias striatus): the role of landscape barriers and sex-biased dispersal.J Hered. 2010 Jul-Aug;101(4):413-22. doi: 10.1093/jhered/esq029. Epub 2010 Mar 10. J Hered. 2010. PMID: 20219886
-
Use of resistance surfaces for landscape genetic studies: considerations for parameterization and analysis.Mol Ecol. 2010 Sep;19(17):3576-91. doi: 10.1111/j.1365-294X.2010.04657.x. Epub 2010 Aug 13. Mol Ecol. 2010. PMID: 20723064 Review.
Cited by
-
The relative influence of habitat amount and configuration on genetic structure across multiple spatial scales.Ecol Evol. 2015 Jan;5(1):73-86. doi: 10.1002/ece3.1325. Epub 2014 Dec 5. Ecol Evol. 2015. PMID: 25628865 Free PMC article.
-
Environmental heterogeneity explains the genetic structure of Continental and Mediterranean populations of Fraxinus angustifolia Vahl.PLoS One. 2012;7(8):e42764. doi: 10.1371/journal.pone.0042764. Epub 2012 Aug 8. PLoS One. 2012. PMID: 22905171 Free PMC article.
-
Integrating the landscape epidemiology and genetics of RNA viruses: rabies in domestic dogs as a model.Parasitology. 2012 Dec;139(14):1899-913. doi: 10.1017/S003118201200090X. Epub 2012 Jul 20. Parasitology. 2012. PMID: 22814380 Free PMC article. Review.
-
Temporal variation in spatial genetic structure during population outbreaks: Distinguishing among different potential drivers of spatial synchrony.Evol Appl. 2019 Aug 24;12(10):1931-1945. doi: 10.1111/eva.12852. eCollection 2019 Dec. Evol Appl. 2019. PMID: 31700536 Free PMC article.
-
Temporally dynamic habitat suitability predicts genetic relatedness among caribou.Proc Biol Sci. 2014 Oct 7;281(1792):20140502. doi: 10.1098/rspb.2014.0502. Proc Biol Sci. 2014. PMID: 25122223 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources