A model for estimating joint maternal-offspring effects on seed development in autogamous plants.
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.
Zhang
Li
L
Department of Statistics, University of Florida, Gainesville, Florida 32611, USA.
Yang
Mark C K
MC
Wang
Xuelu
X
Larkins
Brian A
BA
Gallo-Meagher
Maria
M
Wu
Rongling
R
D000465:Algorithms; D000596:Amino Acids / Q000378:metabolism; D002874:Chromosome Mapping / Q000379:methods / Q000706:statistics & numerical data; D032461:Chromosomes, Plant / Q000235:genetics; D003198:Computer Simulation / Q000706:statistics & numerical data; D018745:Genome, Plant; D005838:Genotype; D016013:Likelihood Functions; D015233:Models, Statistical; D009010:Monte Carlo Method; D020648:Peptide Elongation Factor 1 / Q000235:genetics; D010940:Plant Proteins / Q000235:genetics; D010944:Plants / Q000235:genetics*; D011003:Ploidies; D040641:Quantitative Trait Loci / Q000235:genetics; D012107:Research Design / Q000706:statistics & numerical data; D012639:Seeds / Q000254:growth & development*; D003313:Zea mays / Q000235:genetics
D000596:Amino Acids; D020648:Peptide Elongation Factor 1; D010940:Plant Proteins