Working group session:
Comparative Genomics and Bioinformatics
Presentation type:
poster
Authors:
Qi, Ting; Cao, Yujie; Cao, Liyong; Zhu, Shuijin; Lou, Xiangyang; Xu, Haiming
Presenter:
Correspondent:
Xu, Haiming
Abstract:
The seeds of flowering plants develop from double fertilization and play a vital role in reproduction and supplying food for human and animals. Multiple genetic systems, e.g., maternal, embryo and/or endosperm genomes, are together involved in the genetic variation of seed traits. Understanding the genetic mechanism of seed traits is a major challenge because of its complex mechanism of multiple genetic systems, especially for the epistasis within or between different genomes and their interaction with environment. In this study, two statistical models were proposed for mapping QTLs with epistasis and QE interactions underlying endosperm and embryo traits of interest, respectively. Our models integrating the maternal and the offspring genomes into one mapping framework, can accurately analyze the maternal additive and the dominant effects, the endosperm/embryo additive and dominant effects, the epistatic effects of two loci in one or two different genomes, as well as interaction effects of each genetic component of QTL with environment. Extensive simulations under different sampling strategies, heritabilities and model parameters were performed to investigate the statistical properties of the models. A set of real data on cotton seed was used as an example to demonstrate our methods.