Considering spatial and temporal scale in landscape-genetic studies of gene flow

被引:316
作者
Anderson, Corey Devin [1 ,2 ]
Epperson, Bryan K. [3 ]
Fortin, Marie-Josee [4 ]
Holderegger, Rolf [5 ]
James, Patrick M. A. [6 ]
Rosenberg, Michael S. [1 ,2 ]
Scribner, Kim T. [7 ,8 ]
Spear, Stephen [9 ,10 ]
机构
[1] Arizona State Univ, Ctr Evolutionary Med & Informat, Biodesign Inst, Tempe, AZ 85287 USA
[2] Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA
[3] Michigan State Univ, E Lansing, MI 48864 USA
[4] Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON, Canada
[5] WSL Swiss Fed Res Inst, CH-8903 Birmensdorf, Switzerland
[6] Univ Alberta, Dept Biol Sci, Edmonton, AB, Canada
[7] Michigan State Univ, Dept Fisheries & Wildlife, E Lansing, MI 48824 USA
[8] Michigan State Univ, Dept Zool, E Lansing, MI 48824 USA
[9] Indigo Snake Initiat, Project Orianne, Clayton, GA 30525 USA
[10] Univ Idaho, Dept Fish & Wildlife Resources, Moscow, ID 83844 USA
基金
加拿大自然科学与工程研究理事会;
关键词
autocorrelation; dispersal; gene flow; sampling; space-time processes; spatial genetic structure; OAK QUERCUS-LOBATA; TIMBER RATTLESNAKE; POPULATION; CONNECTIVITY; INFERENCE; PATTERNS; DIFFERENTIATION; DISPERSAL; STREAM; ASSOCIATION;
D O I
10.1111/j.1365-294X.2010.04757.x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:3565 / 3575
页数:11
相关论文
共 95 条
[21]  
D'Eon R, 2002, CONSERV ECOL, V6
[22]   New interpretations of fine-scale spatial genetic structure [J].
Dick, Christopher W. .
MOLECULAR ECOLOGY, 2008, 17 (08) :1873-1874
[23]   A balanced view of scale in spatial statistical analysis [J].
Dungan, JL ;
Perry, JN ;
Dale, MRT ;
Legendre, P ;
Citron-Pousty, S ;
Fortin, MJ ;
Jakomulska, A ;
Miriti, M ;
Rosenberg, MS .
ECOGRAPHY, 2002, 25 (05) :626-640
[24]   Landscape modelling of gene flow: improved power using conditional genetic distance derived from the topology of population networks [J].
Dyer, Rodney J. ;
Nason, John D. ;
Garrick, Ryan C. .
MOLECULAR ECOLOGY, 2010, 19 (17) :3746-3759
[25]  
EMARESI G, 2010, CONSERV GENET, DOI DOI 10.1007/S10592-10009-19985-Y
[26]   ESTIMATING THE RELATIVE RATES OF POLLEN AND SEED MIGRATION AMONG PLANT-POPULATIONS [J].
ENNOS, RA .
HEREDITY, 1994, 72 :250-259
[27]   Estimating dispersal from short distance spatial autocorrelation [J].
Epperson, BK .
HEREDITY, 2005, 95 (01) :7-15
[28]   Mutation at high rates reduces spatial structure within populations [J].
Epperson, BK .
MOLECULAR ECOLOGY, 2005, 14 (03) :703-710
[29]   Multilocus estimation of genetic structure within populations [J].
Epperson, BK .
THEORETICAL POPULATION BIOLOGY, 2004, 65 (03) :227-237
[30]   Spatial genetic structure of allozyme polymorphisms within populations of Pinus strobus (Pinaceae) [J].
Epperson, BK ;
Chung, MG .
AMERICAN JOURNAL OF BOTANY, 2001, 88 (06) :1006-1010