Putting the landscape into the genomics of trees: approaches for understanding local adaptation and population responses to changing climate

被引:236
作者
Sork, V. L. [1 ,2 ]
Aitken, S. N. [3 ]
Dyer, R. J. [4 ]
Eckert, A. J. [4 ]
Legendre, P. [5 ]
Neale, D. B. [6 ]
机构
[1] Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA 90095 USA
[2] Univ Calif Los Angeles, Inst Environm & Sustainabil, Los Angeles, CA USA
[3] Ctr Forest Conservat Genet, Dept Forest Sci, Vancouver, BC V6T 1Z4, Canada
[4] Virginia Commonwealth Univ, Dept Biol, Richmond, VA 23284 USA
[5] Univ Montreal, Dept Sci Biol, Montreal, PQ H3C 3J7, Canada
[6] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA
关键词
Adaptive genetic variation; Climate change; Environmental association; Forest genetics; Genomics; Landscape genetics; QUANTITATIVE TRAIT LOCI; COASTAL DOUGLAS-FIR; CONTROLLING ADAPTIVE TRAITS; QUERCUS-LOBATA NEE; PINE PINUS-TAEDA; ASSOCIATION GENETICS; CANDIDATE GENES; ARABIDOPSIS-THALIANA; NATURAL-SELECTION; SPATIAL STRUCTURE;
D O I
10.1007/s11295-013-0596-x
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
The Forest ecosystem genomics Research: supporTing Transatlantic Cooperation project (FoResTTraC, http://www.foresttrac.eu/) sponsored a workshop in August 2010 to evaluate the potential for using a landscape genomics approach for studying plant adaptation to the environment and the potential of local populations for coping with changing climate. This paper summarizes our discussions and articulates a vision of how we believe forest trees offer an unparalleled opportunity to address fundamental biological questions, as well as how the application of landscape genomic methods complement to traditional forest genetic approaches that provide critical information needed for natural resource management. In this paper, we will cover four topics. First, we begin by defining landscape genomics and briefly reviewing the unique situation for tree species in the application of this approach toward understanding plant adaptation to the environment. Second, we review traditional approaches in forest genetics for studying local adaptation and identifying loci underlying locally adapted phenotypes. Third, we present existing and emerging methods available for landscape genomic analyses. Finally, we briefly touch on how these approaches can aid in understanding practical topics such as management of tree populations facing climate change.
引用
收藏
页码:901 / 911
页数:11
相关论文
共 104 条
[1]   Adaptation, migration or extirpation: climate change outcomes for tree populations [J].
Aitken, Sally N. ;
Yeaman, Sam ;
Holliday, Jason A. ;
Wang, Tongli ;
Curtis-McLane, Sierra .
EVOLUTIONARY APPLICATIONS, 2008, 1 (01) :95-111
[2]   Evolutionary genetics of plant adaptation [J].
Anderson, Jill T. ;
Willis, John H. ;
Mitchell-Olds, Thomas .
TRENDS IN GENETICS, 2011, 27 (07) :258-266
[3]   Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines [J].
Atwell, Susanna ;
Huang, Yu S. ;
Vilhjalmsson, Bjarni J. ;
Willems, Glenda ;
Horton, Matthew ;
Li, Yan ;
Meng, Dazhe ;
Platt, Alexander ;
Tarone, Aaron M. ;
Hu, Tina T. ;
Jiang, Rong ;
Muliyati, N. Wayan ;
Zhang, Xu ;
Amer, Muhammad Ali ;
Baxter, Ivan ;
Brachi, Benjamin ;
Chory, Joanne ;
Dean, Caroline ;
Debieu, Marilyne ;
de Meaux, Juliette ;
Ecker, Joseph R. ;
Faure, Nathalie ;
Kniskern, Joel M. ;
Jones, Jonathan D. G. ;
Michael, Todd ;
Nemri, Adnane ;
Roux, Fabrice ;
Salt, David E. ;
Tang, Chunlao ;
Todesco, Marco ;
Traw, M. Brian ;
Weigel, Detlef ;
Marjoram, Paul ;
Borevitz, Justin O. ;
Bergelson, Joy ;
Nordborg, Magnus .
NATURE, 2010, 465 (7298) :627-631
[4]   Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data [J].
Balkenhol, Niko ;
Waits, Lisette P. ;
Dezzani, Raymond J. .
ECOGRAPHY, 2009, 32 (05) :818-830
[5]   Identifying future research needs in landscape genetics: where to from here? [J].
Balkenhol, Niko ;
Gugerli, Felix ;
Cushman, Sam A. ;
Waits, Lisette P. ;
Coulon, Aurelie ;
Arntzen, J. W. ;
Holderegger, Rolf ;
Wagner, Helene H. .
LANDSCAPE ECOLOGY, 2009, 24 (04) :455-463
[6]   Molecular spandrels: tests of adaptation at the genetic level [J].
Barrett, Rowan D. H. ;
Hoekstra, Hopi E. .
NATURE REVIEWS GENETICS, 2011, 12 (11) :767-780
[7]   Evaluating loci for use in the genetic analysis of population structure [J].
Beaumont, MA ;
Nichols, RA .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1996, 263 (1377) :1619-1626
[8]   Towards identifying genes underlying ecologically relevant traits in Arabidopsis thaliana [J].
Bergelson, Joy ;
Roux, Fabrice .
NATURE REVIEWS GENETICS, 2010, 11 (12) :867-879
[9]   Forward selection of explanatory variables [J].
Blanchet, F. Guillaume ;
Legendre, Pierre ;
Borcard, Daniel .
ECOLOGY, 2008, 89 (09) :2623-2632
[10]   Population adaptive index: a new method to help measure intraspecific genetic diversity and prioritize populations for conservation [J].
Bonin, Aurelie ;
Nicole, Florence ;
Pompanon, Francois ;
Miaud, Claude ;
Taberlet, Pierre .
CONSERVATION BIOLOGY, 2007, 21 (03) :697-708