Mapping of quantitative trait loci based on growth models

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
W. WuQ. Chen

Abstract

An approach called growth model-based mapping (GMM) of quantitative trait loci (QTLs) is proposed in this paper. The principle of the approach is to fit the growth curve of each individual or line with a theoretical or empirical growth model at first and then map QTLs based on the estimated growth parameters with the method of multiple-trait composite interval mapping. In comparison with previously proposed approaches of QTL mapping based on growth data, GMM has several advantages: (1) it can greatly reduce the amount of phenotypic data for QTL analysis and thus alleviate the burden of computation, particularly when permutation tests or simulation are performed to estimate significance thresholds; (2) it can efficiently analyze unbalanced phenotype data because both balanced and unbalanced data can be used for fitting growth models; and (3) it may potentially help us to better understand the genetic basis of quantitative trait development because the parameters in a theoretical growth model may often have clear biological meanings. A practical example of rice leaf-age development is presented to demonstrate the utility of GMM.

Citations

Mar 4, 2010·Genetics Research·Tianbo JinRongling Wu
Apr 13, 2010·BMC Proceedings·Albart CosterMarco C A M Bink
Sep 1, 2004·Trends in Plant Science·Xinyou YinMartin J Kropff
Jun 23, 2006·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·M MalosettiFred A van Eeuwijk
Oct 4, 2019·PloS One·Caterina BarrassoBénédicte Quilot-Turion
Apr 9, 2021·Briefings in Bioinformatics·Ying ZhangRunqing Yang

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