数量性状位点
遗传建筑学
生物
特质
数量遗传学
遗传关联
进化生物学
遗传学
关联映射
全基因组关联研究
计算生物学
基因型
遗传变异
基因
单核苷酸多态性
计算机科学
程序设计语言
作者
Christos Bazakos,Mathieu Hanemian,Charlotte Trontin,José M. Jiménez-Gómez,Vincent Colot
标识
DOI:10.1146/annurev-arplant-042916-040820
摘要
Quantitative genetics has a long history in plants: It has been used to study specific biological processes, identify the factors important for trait evolution, and breed new crop varieties. These classical approaches to quantitative trait locus mapping have naturally improved with technology. In this review, we show how quantitative genetics has evolved recently in plants and how new developments in phenotyping, population generation, sequencing, gene manipulation, and statistics are rejuvenating both the classical linkage mapping approaches (for example, through nested association mapping) as well as the more recently developed genome-wide association studies. These strategies are complementary in most instances, and indeed, one is often used to confirm the results of the other. Despite significant advances, an emerging trend is that the outcome and efficiency of the different approaches depend greatly on the genetic architecture of the trait in the genetic material under study.
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