Status and Prospects of Association Mapping in Plants

被引:930
作者
Zhu, Chengsong [1 ]
Gore, Michael [2 ]
Buckler, Edward S. [3 ,4 ]
Yu, Jianming [1 ]
机构
[1] Kansas State Univ, Dep Agron, Manhattan, KS 66506 USA
[2] Cornell Univ, Dep Plant Breeding & Genet, Ithaca, NY 14853 USA
[3] Cornell Univ, USDA ARS, Ithaca, NY 14853 USA
[4] Cornell Univ, Inst Genom Div, Ithaca, NY 14853 USA
基金
美国国家科学基金会;
关键词
D O I
10.3835/plantgenome2008.02.0089
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
There is tremendous interest in using association mapping to identify genes responsible for quantitative variation of complex traits with agricultural and evolutionary importance. Recent advances in genomic technology, impetus to exploit natural diversity, and development of robust statistical analysis methods make association mapping appealing and affordable to plant research programs. Association mapping identifies quantitative trait loci (QTLs) by examining the marker-trait associations that can be attributed to the strength of linkage disequilibrium between markers and functional polymorphisms across a set of diverse germplasm. General understanding of association mapping has increased significantly since its debut in plants. We have seen a more concerted effort in assembling various association-mapping populations and initiating experiments through either candidate-gene or genome-wide approaches in different plant species. In this review, we describe the current status of association mapping in plants and outline opportunities and challenges in complex trait dissection and genomics-assisted crop improvement.
引用
收藏
页码:5 / 20
页数:16
相关论文
共 144 条
[11]  
[Anonymous], FIELD DESIGN SEARCH
[12]   Genome-wide association mapping in Arabidopsis identifies previously known flowering time and pathogen resistance genes [J].
Aranzana, MJ ;
Kim, S ;
Zhao, KY ;
Bakker, E ;
Horton, M ;
Jakob, K ;
Lister, C ;
Molitor, J ;
Shindo, C ;
Tang, CL ;
Toomajian, C ;
Traw, B ;
Zheng, HG ;
Bergelson, J ;
Dean, C ;
Marjoram, P ;
Nordborg, M .
PLOS GENETICS, 2005, 1 (05) :531-539
[13]   Power of mixed-model QTL mapping from phenotypic, pedigree and marker data in self-pollinated crops [J].
Arbelbide, M ;
Yu, J ;
Bernardo, R .
THEORETICAL AND APPLIED GENETICS, 2006, 112 (05) :876-884
[14]   Patterns of linkage disequilibrium in the human genome [J].
Ardlie, KG ;
Kruglyak, L ;
Seielstad, M .
NATURE REVIEWS GENETICS, 2002, 3 (04) :299-309
[15]   Microsatellites, single nucleotide polymorphisms and a sequence tagged site in starch-synthesizing genes in relation to starch physicochemical properties in nonwaxy rice (Oryza sativa L.) [J].
Bao, J. S. ;
Corke, H. ;
Sun, M. .
THEORETICAL AND APPLIED GENETICS, 2006, 113 (07) :1185-1196
[16]   SNP discovery via 454 transcriptome sequencing [J].
Barbazuk, W. Brad ;
Emrich, Scott J. ;
Chen, Hsin D. ;
Li, Li ;
Schnable, Patrick S. .
PLANT JOURNAL, 2007, 51 (05) :910-918
[17]   Whole genome scan detects an allelic variant of fad2 associated with increased oleic acid levels in maize [J].
Belo, Andre ;
Zheng, Peizhong ;
Luck, Stanley ;
Shen, Bo ;
Meyer, David J. ;
Li, Bailin ;
Tingey, Scott ;
Rafalski, Antoni .
MOLECULAR GENETICS AND GENOMICS, 2008, 279 (01) :1-10
[18]   Usefulness of gene information in marker-assisted recurrent selection: A simulation appraisal [J].
Bernardo, R ;
Charcosset, A .
CROP SCIENCE, 2006, 46 (02) :614-621
[19]   Parental selection, number of breeding populations, and size of each population in inbred development [J].
Bernardo, R .
THEORETICAL AND APPLIED GENETICS, 2003, 107 (07) :1252-1256
[20]  
Bernardo R., 2002, BREEDING QUANTITATIV