Genetic mapping of quantitative trait loci in crops  

作　　者：Yang Xu Pengcheng Li Zefeng Yang Chenwu Xu 

机构地区：[1]Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops,Key Laboratory of Plant Functional Genomics of Ministry of Education, Yangzhou University, Yangzhou 225009, China

出　　处：《The Crop Journal》2017年第2期175-184,共10页作物学报（英文版）

基　　金：supported by the Priority Academic Program Development of Jiangsu Higher Education Institution;the National Natural Science Foundation of China(Nos.91535103,31391632,and 31200943);the National High Technology Research and Development Program of China(No.2014AA10A601-5);the Natural Science Foundation of Jiangsu Province(No.BK2012261);the Natural Science Foundation of Jiangsu Higher Education Institution(No.14KJA210005);the Postgraduate Research and Innovation Project in Jiangsu Province(No.KYLX151368);the Innovative Research Team of University in Jiangsu Province

摘　　要：Dissecting the genetic architecture of complex traits is an ongoing challenge for geneticists.Two complementary approaches for genetic mapping,linkage mapping and association mapping have led to successful dissection of complex traits in many crop species.Both of these methods detect quantitative trait loci(QTL) by identifying marker–trait associations,and the only fundamental difference between them is that between mapping populations,which directly determine mapping resolution and power.Based on this difference,we first summarize in this review the advances and limitations of family-based mapping and natural population-based mapping instead of linkage mapping and association mapping.We then describe statistical methods used for improving detection power and computational speed and outline emerging areas such as large-scale meta-analysis for genetic mapping in crops.In the era of next-generation sequencing,there has arisen an urgent need for proper population design,advanced statistical strategies,and precision phenotyping to fully exploit high-throughput genotyping.Dissecting the genetic architecture of complex traits is an ongoing challenge for geneticists. Two complementary approaches for genetic mapping, linkage mapping and association mapping have led to successful dissection of complex traits in many crop species. Both of these methods detect quantitative trait loci （QTL） by identifying marker-trait associations, and the only fundamental difference between them is that between mapping populations, which directly determine mapping resolution and power. Based on this difference, we first summarize in this review the advances and limitations of family-based mapping and natural population-based mapping instead of linkage mapping and association mapping. We then describe statistical methods used for improving detection power and computational speed and outline emerging areas such as large-scale meta-analysis for genetic mapping in crops. In the era of next-generation sequencing, there has arisen an urgent need for proper population design, advanced statistical strategies, and precision phenotyping to fully exploit high-throughput genotyping.

关 键 词：Family-based mapping Natural population-based mapping Mixed linear model MAGIC population Meta-analysis Genotyping by sequencing 

分 类 号：S33[农业科学—作物遗传育种]