Population genetics of genomics-based crop improvement methods

被引:162
作者
Hamblin, Martha T. [1 ]
Buckler, Edward S. [1 ,2 ,3 ]
Jannink, Jean-Luc [2 ,3 ]
机构
[1] Cornell Univ, Inst Genom Divers, Ithaca, NY 14853 USA
[2] Cornell Univ, USDA ARS, RW Holley Ctr Agr & Hlth, Ithaca, NY 14853 USA
[3] Cornell Univ, Dept Plant Breeding & Genet, Ithaca, NY 14853 USA
关键词
QUANTITATIVE TRAIT LOCI; VULGARE SSP-SPONTANEUM; LINKAGE DISEQUILIBRIUM; ARTIFICIAL SELECTION; WIDE ASSOCIATION; NATURAL VARIATION; INBRED LINES; MAIZE; DOMESTICATION; BARLEY;
D O I
10.1016/j.tig.2010.12.003
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Many genome-wide association studies (GWAS) in humans are concluding that, even with very large sample sizes and high marker densities, most of the genetic basis of complex traits may remain unexplained. At the same time, recent research in plant GWAS is showing much greater success with fewer resources. Both GWAS and genomic selection (GS), a method for predicting phenotypes by the use of genome-wide marker data, are receiving considerable attention among plant breeders. In this review we explore how differences in population genetic histories, as well as past selection for traits of interest, have produced trait architectures and patterns of linkage disequilibrium (ID) that frequently differ dramatically between domesticated plants and humans, making detection of quantitative trait loci (QTL) effects in crops more rewarding and less costly than in humans.
引用
收藏
页码:98 / 106
页数:9
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