基于R/qtl不同方法对玉米株高QTL定位结果的比较  

Comparison of different methods for mapping QTL of maize plant height with R/qtl

作　　者：胡文明 汤在祥[1,2] 徐扬 邓张泽 徐辰武 

机构地区：[1]扬州大学江苏省作物遗传生理重点实验室、教育部植物功能基因组学重点实验室,江苏扬州225009 [2]苏州大学医学部公共卫生学院,江苏苏州215123

出　　处：《江苏农业学报》2013年第1期8-13,共6页Jiangsu Journal of Agricultural Sciences

基　　金：国家基础研究项目(2011CB100106);国家自然科学基因项目(30971846、31171187、31100882);江苏省高等学校自然科学研究重大项目(09KJA210002)

摘　　要：R/qtl是基于R语言的QTL分析专用作图软件。为了研究R/qtl不同作图方法在分析结果上的差异,采用1个玉米F2∶3家系的株高实际数据,分别按该软件提供的区间作图法(IM)、复合区间作图法(CIM)、二维扫描和多QTL拟合进行数据分析和结果比较。在株高性状上共定位到8个QTL,其中,IM法检测到7个,总共解释表型变异的54.57%,有3个QTL在4种算法中都能检测到,其位置、LOD值、置信区间以及贡献率估计4种算法分析结果基本一致。CIM法共检测到5个QTL,可解释总变异的27.66%,其中,位于第3染色体158 cM和222 cM的2个QTL在所有4种算法中都能检测到,第7染色体36 cM处的QTL首次被检测到,其余4个QTL与IM法检测到的相应QTL一致。二维QTL扫描共检测到7个QTL,累计贡献率达到54.97%,未检测到显著互作的QTL,除第6染色体33.5 cM处的QTL外,其他QTL与IM法检测到的一致。多QTL拟合只检测到3个QTL,累计贡献率为21.52%,也未检测到QTL间显著互作。以上分析结果表明:不同方法检测到的QTL无论在数量上还是在贡献率估计上均存在一定程度上的差异,但一些主要QTL在用不同方法分析中通常都能被发现。此外,本研究群体株高性状的遗传模式仅有主效应QTL,上位性QTL均未检测到。R/qtl which implemented by R language is a software specially for QTL analysis. In order to study the difference among interval mapping （IM）, composite interval mapping （CIM）, two-dimension scan and multiple-QTL fitness in mapping QTL, plant height data of an F2：3 maize population was used to perform QTL mapping and compare the analyzing results of difference methods. The results showed that a total of eight QTL were detected by all methods. In IM method, seven QTL were detected,and the total contribution to phenotype variation reached 54.7%, which five QTL were detected by difference algorithms, and their locations, LOD values, confidence intervals and contribution of each QTL were almost the same. In CIM mapping, four QTL were detected, which accounted for about 27.66% of phenotype variation, wherein two QTL located at 158 cM and 222cM in chromosome 3 respectively could be detected by all four algorithms. The parameters estimated by CIM and IM for four common QTL were consistent. A total of seven QTL were detected using two-dimension scan, and they explained 54.97% of phenotype variation. No interacted QTL were found. Except one QTL located at 33.5cM in chromosome 6, other QTL were consistent with those detected in IM method. Only three QTL were found by multiple-QTL fitness, and their total contribution to phenotype variation was up to 21.52%. No interacting QTL were found by multiple-QTL fitness method. These results demonstrated that the number and contribution estimated by different methods showed subtle difference to certain extent, but the major QTL could be found by all methods.In addition, there were only major QTL controlling plant height, and no epistatic QTL was found.

关 键 词：R QTL 区间作图 复合区间作图 二维扫描 多区间作图 

分 类 号：S513.032[农业科学—作物学]