RICE SCIENCE ›› 2009, Vol. 16 ›› Issue (1): 45-50 .DOI: 10.1016/S1672-6308(08)60055-4

• Research Paper • Previous Articles     Next Articles

A General Method for QTL Mapping in Multiple Related Populations Derived from Multiple Parents

AO Yan; HU Zhi-qiu; TANG Zai-xiang; WANG Xue-feng; XU Chen-wu   

  1. Jiangsu Provincial Key Laboratory of Crop Genetics Physiology, Yangzhou University, Yangzhou 225009, China
  • Received:2008-09-03 Online:2009-03-28 Published:2009-03-28
  • Contact: XU Chen-wu
  • Supported by:
    the National Natural Science Foundation of China (Grant Nos. 30270724 and 30370758), and the Funds for Scientific and Technical Innovation of Yangzhou University, China (2006CXJ010).

Abstract: It’s well known that incorporating some existing populations derived from multiple parents may improve QTL mapping and QTL-based breeding programs. However, no general maximum likelihood method has been available for this strategy. Based on the QTL mapping in multiple related populations derived from two parents, a maximum likelihood estimation method was proposed, which can incorporate several populations derived from three or more parents and also can be used to handle different mating designs. Taking a circle design as an example, we conducted simulation studies to study the effect of QTL heritability and sample size upon the proposed method. The results showed that under the same heritability, enhanced power of QTL detection and more precise and accurate estimation of parameters could be obtained when three F2 populations were jointly analyzed, compared with the joint analysis of any two F2 populations. Higher heritability, especially with larger sample sizes, would increase the ability of QTL detection and improve the estimation of parameters. Potential advantages of the method are as follows: firstly, the existing results of QTL mapping in single population can be compared and integrated with each other with the proposed method, therefore the ability of QTL detection and precision of QTL mapping can be improved. Secondly, owing to multiple alleles in multiple parents, the method can exploit gene resource more adequately, which will lay an important genetic groundwork for plant improvement.

Key words: related population, quantitative trait locus, gene mapping, maximum likelihood estimation