Expression quantitative trait loci analysis in plants

被引:68
作者
Druka, Arnis [1 ]
Potokina, Elena [2 ]
Luo, Zewei [3 ]
Jiang, Ning [3 ]
Chen, Xinwei [1 ]
Kearsey, Mike [3 ]
Waugh, Robbie [1 ]
机构
[1] Scottish Crop Res Inst, Dundee DD2 5DA, Scotland
[2] Vavilov All Russian Inst Plant Ind, St Petersburg, Russia
[3] Univ Birmingham, Sch Biosci, Birmingham, W Midlands, England
基金
英国生物技术与生命科学研究理事会;
关键词
expression quantitative trait loci; transcript-level variation; genetical genomics; transcript-derived markers; ALLELE-SPECIFIC EXPRESSION; SINGLE-FEATURE POLYMORPHISMS; TRANSCRIPT-LEVEL VARIATION; GENE-EXPRESSION; MESSENGER-RNA; BARLEY TRANSCRIPTOME; REGULATORY VARIATION; MAIZE; MICROARRAY; GENOMICS;
D O I
10.1111/j.1467-7652.2009.00460.x
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
An expression Quantitative Trait Locus or eQTL is a chromosomal region that accounts for a proportion of the variation in abundance of a mRNA transcript observed between individuals in a genetic mapping population. A single gene can have one or multiple eQTLs. Large scale mRNA profiling technologies advanced genome-wide eQTL mapping in a diverse range of organisms allowing thousands of eQTLs to be detected in a single experiment. When combined with classical or trait QTLs, correlation analyses can directly suggest candidates for genes underlying these traits. Furthermore, eQTL mapping data enables genetic regulatory networks to be modelled and potentially provide a better understanding of the underlying phenotypic variation. The mRNA profiling data sets can also be used to infer the chromosomal positions of thousands of genes, an outcome that is particularly valuable for species with unsequenced genomes where the chromosomal location of the majority of genes remains unknown. In this review we focus on eQTL studies in plants, addressing conceptual and technical aspects that include experimental design, genetic polymorphism prediction and candidate gene identification.
引用
收藏
页码:10 / 27
页数:18
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