Physiol. Genomics AJP: Advances in Physiology Education
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Physiol. Genomics 19: 262-269, 2004; doi:10.1152/physiolgenomics.00052.2004
1094-8341/04 $5.00
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Received 3 March 2004; accepted in final form 6 August 2004.
Physiological Genomics 19:262-269 (2004)
1094-8341/04 $5.00 © 2004 American Physiological Society

A model for estimating joint maternal-offspring effects on seed development in autogamous plants

Li Zhang1, Mark C. K. Yang1, Xuelu Wang2, Brian A. Larkins2, Maria Gallo-Meagher3 and Rongling Wu1

1 Department of Statistics, University of Florida, Gainesville, Florida
2 Agronomy Department, University of Florida, Gainesville, Florida
3 Department of Plant Sciences, University of Arizona, Tucson, Arizona

We present a statistical model for testing and estimating the effects of maternal-offspring genome interaction on the embryo and endosperm traits during seed development in autogamous plants. Our model is constructed within the context of maximum likelihood implemented with the EM algorithm. Extensive simulations were performed to investigate the statistical properties of our approach. We have successfully identified a quantitative trait locus that exerts a significant maternal-offspring interaction effect on amino acid contents of the endosperm in maize, demonstrating the power of our approach. This approach will be broadly useful in mapping endosperm traits for many agriculturally important crop plants and also make it possible to study the genetic significance of double fertilization in the evolution of higher plants.

autogamous plants; EM algorithm; linkage; maternal-offspring interaction; quantitative trait loci




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 J HeredHome page
Z. Hu, X. Wang, and C. Xu
A Method for Identification of the Expression Mode and Mapping of QTL Underlying Embryo-Specific Characters
J. Hered., September 1, 2006; 97(5): 473 - 482.
[Abstract] [Full Text] [PDF]


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