异速生长的QTL定位模型及一因多效性扩展  

A novel QTL mapping model for allometric growth and pleiotropic extension

作　　者：李婕[1] 王忠[2] 李永慈[3] 盖钧镒[4] 黄中文[5] 邬荣领[2] 

机构地区：[1]北京林业大学林学院,北京100083 [2]北京林业大学生物学院,北京100083 [3]北京林业大学理学院,北京100083 [4]南京农业大学农学院,江苏南京210095 [5]河南科技学院农学系,河南新乡453003

出　　处：《南京林业大学学报（自然科学版）》2014年第3期35-39,共5页Journal of Nanjing Forestry University：Natural Sciences Edition

基　　金：中央高校基本科研业务费专项项目(BLX2013026)

摘　　要：异速生长是生物界被广泛研究的一个重要生长规律。为了揭示异速生长相关的QTL及一因多效性,考虑了生物生长过程的动态特性,并基于功能作图的框架,构造了一个解析异速生长关系的QTL定位模型。使用这个模型,对一个大豆重组自交系群体(RIL)的叶片生物量和总生物量的异速生长关系进行了分析,并在第24号连锁群上检测到一个影响这一异速生长关系的QTL,同时使用Logistic生长曲线,在此QTL区间内检测到了影响叶片动态生长的QTL。模拟实验结果发现,通过该算法可提高QTL定位的准确性,也能评估异速生长的生长指数等参数。Allometric growth has been widely studied as an important law in biology. In order to reveal allometric growth and its pleiotropism, a new model is proposed to map the QTL which is related to allometric growth based on the frame-work of functional mapping in this paper. Using this model, a soybean population of recombinant inbred lines （ RIL） is demonstrated to analyze the QTLs which affect allometric growth between leaf biomass and total weight. The QTLs in the 24th linkage groups detected by this model are testified by the Logistic model to find out pleiotropism. This extended model improves the accuracy of QTL mapping and estimate of the parameters of allometric growth by means of two mer-its, which the dynamic traits of biological growth processes are conceived and multiple time points in the experimental data are employed.

关 键 词：异速生长 功能作图 大豆生物量 QTL定位 

分 类 号：S722[农业科学—林木遗传育种]