Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field

被引:207
作者
Manel, Stephanie [1 ,2 ]
Joost, Stephane [3 ]
Epperson, Bryan K. [4 ]
Holderegger, Rolf [5 ]
Storfer, Andrew [6 ]
Rosenberg, Michael S. [7 ,8 ]
Scribner, Kim T. [9 ,10 ]
Bonin, Aurelie [11 ]
Fortin, Marie-Josee [12 ]
机构
[1] Univ Aix Marseille 1, UP IRD, Lab Populat Environm Dev, UMR 151, F-13331 Marseille 3, France
[2] Univ Grenoble 1, Lab Ecol Alpine, CNRS, UMR 5553, F-38041 Grenoble 9, France
[3] Ecole Polytech Fed Lausanne, LASIG, CH-1015 Lausanne, Switzerland
[4] Michigan State Univ, Dept Forestry, E Lansing, MI 48824 USA
[5] WSL Swiss Fed Res Inst, CH-8903 Birmensdorf, Switzerland
[6] Washington State Univ, Sch Biol Sci, Pullman, WA 99164 USA
[7] Arizona State Univ, Ctr Evolutionary Med & Informat, Biodesign Inst, Tempe, AZ 85287 USA
[8] Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA
[9] Michigan State Univ, Dept Zool, E Lansing, MI 48824 USA
[10] Michigan State Univ, Dept Fisheries & Wildlife, E Lansing, MI 48824 USA
[11] Univ British Columbia, Dept Bot, Vancouver, BC V6T 1Z4, Canada
[12] Univ Toronto, Dept & Evolutionary Biol, Toronto, ON M5S 3G5, Canada
关键词
computational approach; genome scan; local adaptation; landscape genomics; molecular techniques; regression analysis; SINGLE NUCLEOTIDE POLYMORPHISMS; SPECIES DISTRIBUTIONAL DATA; PINE PINUS-TAEDA; SPATIAL AUTOCORRELATION; LINKAGE DISEQUILIBRIUM; POPULATION GENOMICS; MOLECULAR GENECOLOGY; TEMPERATURE RESPONSE; DIVERGENT SELECTION; ECOLOGICAL GENOMICS;
D O I
10.1111/j.1365-294X.2010.04717.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
Understanding the genetic basis of species adaptation in the context of global change poses one of the greatest challenges of this century. Although we have begun to understand the molecular basis of adaptation in those species for which whole genome sequences are available, the molecular basis of adaptation is still poorly understood for most non-model species. In this paper, we outline major challenges and future research directions for correlating environmental factors with molecular markers to identify adaptive genetic variation, and point to research gaps in the application of landscape genetics to real-world problems arising from global change, such as the ability of organisms to adapt over rapid time scales. High throughput sequencing generates vast quantities of molecular data to address the challenge of studying adaptive genetic variation in non-model species. Here, we suggest that improvements in the sampling design should consider spatial dependence among sampled individuals. Then, we describe available statistical approaches for integrating spatial dependence into landscape analyses of adaptive genetic variation.
引用
收藏
页码:3760 / 3772
页数:13
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