Advances on methods for mapping QTL in plant

作     者：ZHANG Yuan-Ming Section on Statistical Genomics, State Key Laboratory of Crop Genetics and Germplasm Enhancement/National Center for Soybean Improvement, College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China 

作者机构：Section on Statistical Genomics State Key Laboratory of Crop Genetics and Germplasm Enhancement/National Center for Soybean Improvement College of Agriculture Nanjing Agricultural University Nanjing China 

出 版 物：《Science Bulletin》 (科学通报(英文版))

年 卷 期：2006年第51卷第23期

页      面：2809-2818页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 09[农学] 071007[理学-遗传学] 0901[农学-作物学] 090102[农学-作物遗传育种] 

基　　金：NCET-05-0489 National Natural Science Foundation of China,NSFC: 30470998 Natural Science Foundation of Jiangsu Province: BK2005087 National Basic Research Program of China (973 Program): 2006CB101708 

主　　题：quantitative trait locus parameter estimation effect maximum likelihood method Bayesian method. 

摘      要：Advances on methods for mapping quantitative trait loci (QTL) are firstly summarized. Then, some new methods, including mapping multiple QTL, fine mapping of QTL, and mapping QTL for dynamic traits, are mainly described. Finally, some future prospects are proposed, including how to dig novel genes in the germplasm resource, map expression QTL (eQTL) by the use of all markers, phenotypes and micro-array data, identify QTL using genetic mating designs and detect viability loci. The purpose is to direct plant geneticists to choose a suitable method in the inheritance analysis of quantitative trait and in search of novel genes in germplasm resource so that more potential genetic information can be uncovered.