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作物学报 ›› 2010, Vol. 36 ›› Issue (2): 191-201.doi: 10.3724/SP.J.1006.2010.00191

• 作物遗传育种·种质资源·分子遗传学 •    下一篇

重组自交家系群体4对主基因加多基因混合遗传模型分离分析方法的建立

王金社,李海旺,赵团结,盖钧镒   

  1. 南京农业大学大豆研究所 / 国家大豆改良中心 / 作物遗传与种质创新国家重点实验室，江苏南京210095
  • 收稿日期:2009-08-03 修回日期:2009-12-08 出版日期:2010-02-10 网络出版日期:2009-12-21
  • 通讯作者: 盖钧镒, E-mail: sri@njau.edu.cn, Tel: 025-84395405（需要分析软件者请与通讯作者联系。）
  • 基金资助:

    本研究由国家重点基础研究发展规划（973计划）项目（2006CB101708，2009CB118404），国家高技术研究发展计划（863计划）项目（2006AA100104），国家农业部公益性行业专项（200803060）和教育部高等学校创新引智计划项目（B08025）资助。

Establishment of Segregation Analysis of Mixed Inheritance Model with Four Major Genes plus Polygenes in Recombinant Inbred Lines Population

WANG Jin-She,LI Hai-Wang,ZHAO Tuan-Jie,GAI Jun-Yi*   

  1. Soybean Research Institute of Nanjing Agricultural University, National Center for Soybean Improvement, National Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing 210095, China
  • Received:2009-08-03 Revised:2009-12-08 Published:2010-02-10 Published online:2009-12-21
  • Contact: GAI Jun-yi, E-mail: sri@njau.edu.cn, Tel: 025-84395405

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1674

被引次数

63

摘要：

主基因加多基因混合遗传模型分离分析方法是基于数量性状表型数据的统计遗传分析方法，该方法适于育种工作者利用杂种分离世代的数据对育种性状的遗传组成做出初步判断，制订相应的育种策略，也可用以校验QTL定位所揭示的性状遗传组成。重组自交家系群体(RIL)是一种永久性群体，可以进行有重复的比较试验，适合于环境影响较大的复杂性状的遗传研究。本研究以RIL群体为对象，将遗传模型拓展到4对主基因，建立相应的分离分析方法。新构建的模型共包括4对主基因和4对主基因加多基因两类共15个遗传模型，通过极大似然法和IECM算法估算各种模型的分布参数，由AIC值和一组适合性测验选取最佳遗传模型，再由最小二乘法估计模型的遗传参数。通过模拟实验对所建立的模型进行验证，模拟群体中一阶遗传参数的估计值与设定值之间有很好一致性。以大豆科丰1号×南农1138-2构成的RIL群体及其亲本棕榈酸含量的遗传(I-1模型，即4对加性-上位性主基因和加性-上位性多基因遗传模型)为例，说明该方法的应用效果。

关键词: 重组自交家系群体（RIL）, 主基因加多基因混合遗传, 分离分析

Abstract:

The segregation analysis of major genes plus polygenes is a statistical method for genetic analysis of quantitative traits. This method is particularly valuable for breeders to use their data accumulated from segregation populations to estimate the genetic system of target traits which is necessary for designing breeding strategies and also useful for validating the results of QTL mapping. The recombinant inbred line (RIL) population is a permanent population, which is suitable for genetic analyses of complex traits and can be used in replicated experiments. For RIL, the analytical procedures of three major genes plus polygenes mixed inheritance models have been established and widely used in crops. There is an increasing demand on the genetic model expanding from three major genes plus polygenes to four or more major genes plus polygenes. Therefore, the objective of the present study was to establish the analytical procedures of segregation analyses for four major genes plus polygenes mixed inheritance model in RIL population. Fifteen genetic models with four additive and/or epistatic major genes including those without and with polygenes were established. The genetic models and their distribution parameters were solved and estimated with maximum likelihood method and IECM algorithm. The best model was chosen based on Akaike’s Information Criterion (AIC) and a set of goodness of fit tests. The genetic parameters of the best model were estimated with the least square method. The established procedure was validated with a set of Monte Carlo simulation experiments. The results showed a relatively high accuracy and consistency for first order parameters between the simulated population and scheduled population. For demonstration of the usefulness of the established procedure, the data of palmitic acid content obtained from a RIL population NJRIKY (derived from Kefeng 1 × Nannong 1138-2) along with their P1 and P2 were analyzed. The results showed that the data fitted to Model I-1, i.e. four additive and epistasis major genes plus additive and epistatic polygenes mixed inheritance model.

Key words: RIL population, Major gene plus polygenes mixed inheritance, Segre gation analysis

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