Association genetics of complex traits in plants

被引:223
作者
Ingvarsson, Paer K. [1 ]
Street, Nathaniel R. [1 ]
机构
[1] Umea Univ, Umca Plant Sci Ctr, Dept Ecol & Environm Sci, SE-90187 Umea, Sweden
基金
瑞典研究理事会;
关键词
association mapping; complex traits; genetic architecture; genotyping; phenotyping; GENOME-WIDE ASSOCIATION; TRANSCRIPT-LEVEL VARIATION; FLOWERING-LOCUS-C; ARABIDOPSIS-THALIANA; QUANTITATIVE TRAITS; HUMAN-DISEASE; LINKAGE-DISEQUILIBRIUM; POPULATION-STRUCTURE; GENOTYPING ERRORS; INBRED LINES;
D O I
10.1111/j.1469-8137.2010.03593.x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Association mapping is rapidly becoming the main method for dissecting the genetic architecture of complex traits in plants. Currently most association mapping studies in plants are preformed using sets of genes selected to be putative candidates for the trait of interest, but rapid developments in genomics will allow for genome-wide mapping in virtually any plant species in the near future. As the costs for genotyping are decreasing, the focus has shifted towards phenotyping. In plants, clonal replication and/or inbred lines allows for replicated phenotyping under many different environmental conditions. Reduced sequencing costs will increase the number of studies that use RNA sequencing data to perform expression quantitative trait locus (eQTL) mapping, which will increase our knowledge of how gene expression variation contributes to phenotypic variation. Current population sizes used in association mapping studies are modest in size and need to be greatly increased if mutations explaining less than a few per cent of the phenotypic variation are to be detected. Association mapping has started to yield insights into the genetic architecture of complex traits in plants, and future studies with greater genome coverage will help to elucidate how plants have managed to adapt to a wide variety of environmental conditions.
引用
收藏
页码:909 / 922
页数:14
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