Abstract
While extensive progress has been made in quantitative trait locus (QTL) mapping of diploid species, the progress of QTL mapping in polyploids has been limited due to the polyploid's complex genetic architecture. To date, QTL mapping in polyploids has focused primarily on tetraploids with dominant markers and/or codominant markers. In this paper, we extend the interval mapping methodology to any autopolyploid of even ploidy level. Our approach selects a set of likely parental chromosomal configurations (models) using a Bayesian model reduction step. The EM algorithm is then employed to estimate each model's parameters including QTL location, marker dosages, QTL dosages, and the trait effect.
Keywords
autopolyploid, QTL mapping, interval mapping
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Cao, Dachuang; Craig, Bruce A.; and Doerge, R. W.
(2003).
"INTERVAL MAPPING FOR AUTOPOLYPLOIDS,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1175
INTERVAL MAPPING FOR AUTOPOLYPLOIDS
While extensive progress has been made in quantitative trait locus (QTL) mapping of diploid species, the progress of QTL mapping in polyploids has been limited due to the polyploid's complex genetic architecture. To date, QTL mapping in polyploids has focused primarily on tetraploids with dominant markers and/or codominant markers. In this paper, we extend the interval mapping methodology to any autopolyploid of even ploidy level. Our approach selects a set of likely parental chromosomal configurations (models) using a Bayesian model reduction step. The EM algorithm is then employed to estimate each model's parameters including QTL location, marker dosages, QTL dosages, and the trait effect.
