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On the Use of Mathematically-Derived Composite Traits and Their Efficiency in Quantitative Trait Locus Mapping

Author: WangYu
Tutor: LvWenYan；WangJianKang
School: Shenyang Agricultural University
Course: Crop Genetics and Breeding
Keywords: Component Traits Complex traits Testing the effectiveness of False positive rate
CLC: S336
Type: Master's thesis
Year: 2010
Downloads: 42
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Abstract


Two or more than two traits (for convenience referred to as component traits) and simple, difference, product, known as the composite index providers and other algebraic operations traits, complex traits in breeding a wide range of applications, with The choice affects two or more traits favorable genes and gene combinations at the same time. However, when the composite trait QTL mapping, the mapping results often with the component traits mapping results not exactly the same, and sometimes even find a number of complex traits unique QTL. Up to now, whether it is appropriate for complex traits in QTL mapping complex traits and composition of QTL mapping difference between reason and composite traits unique QTL authenticity is still a lack of research. In this study, 5 (genetic model A-independent genetic model, the genetic model B-2 control component traits QTL is independent of genetic, genetic model C-control two component traits QTL at the same time in two different chromosome, genetic model D-control component traits I two QTLs with a control component traits II QTL chain and genetic model E control two component traits four QTLs are located on the same chromosome) of 29 different structures genetic models and four real group mapping results based on genetic model constructed by a simulation technique to study the effectiveness of the composite trait QTL mapping to explore complex traits detected not constitute traits found in complex traits alone QTL authenticity. The main results are as follows: 1, it is assumed that the two component traits were two QTLs control, affect the composite of QTL could reach 4. Efficacy analysis results show that the simulation results of the independent genetic model, the form of QTL detection efficacy higher than the efficacy of genetic chain model form of QTL detection and form of QTL detection effect is greater than the composite trait QTL. Linked genetic simulation results in the form of QTL detection efficacy is still higher than the composite traits, and with the linkage distance between the QTL increases, an increasing trend component traits and the composite of QTL detection efficacy. Complex traits in the the virtual genetic model simulation results, the false positive rate is higher than the component traits. Real groups based simulation results show that the component traits and composite traits also found that the QTL detected in the composition and complex traits quite effective, but only those component traits without complex traits QTL , the detection efficacy in complex traits were lower. Maize RIL population difference traits and commercial traits false positive rate was significantly higher than the traits and character and plot; rice F2 populations and traits, as well as product traits false positive rate was significantly higher than that poor trait and commercial traits. 3, the composite traits more complex genetic structure of complex trait mapping QTL will significantly increase the number of quantitative trait QTL increase in the number will give control of the genetic background inconvenience, which will reduce the efficiency of QTL mapping while also reducing the phenotypic variation can not be explained by a single QTL; compared with the component traits, complex traits will produce high-level interaction between genes and between the QTL linkage relationship becomes complicated. The structure of the complex of complex genetic traits will reduce the Detection of QTL effect, so that the false positive rate has increased. 4, in genetic models A and B, the composite heritability constitute heritability similar or slightly lower. Genetic model C, D and E, compared with the component traits and character and plot trait heritability is higher than the component traits, and poor traits and commercial heritability below the component traits and traits and character and plot heritability was significantly higher than that poor traits and suppliers traits. Based research in the real groups, the trend of the composite heritability basic consistent with the 29 putative genetic model, in addition, some of the real groups a multi-effect QTL can also cause changes in the heritability. Unique QTL the composite traits found in the real groups may constitute some significant traits micro-effect QTL may be false QTL, so we have to be used with caution composite trait QTL mapping. This does not preclude the use of complex traits in selected simultaneously affect multiple traits in the breeding of favorable genes.

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CLC: > Agricultural Sciences > Agriculture ( agronomy ) > Crop Genetics and Breeding and breeding > Biotechnology breeding methods
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