A Bivalent Polyploid Model for Mapping Quantitative Trait Loci in Outcrossing Tetraploids

Rongling Wu, Chang Xing Ma, George Casella

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Two major aspects have made the genetic and genomic study of polyploids extremely difficult. First, increased allelic or nonallelic combinations due to multiple alleles result in complex gene actions and interactions for quantitative trait loci (QTL) in polyploids. Second, meiotic configurations in polyploids undergo a complex biological process including either bivalent or multivalent formation, or both. For bivalent polyploids, different degrees of preferential chromosome pairings may occur during meiosis. In this article, we develop a maximum-likelihood-based model for mapping QTL in tetraploids by considering the quantitative inheritance and meiotic mechanism of bivalent polyploids. This bivalent polyploid model is implemented with the EM algorithm to simultaneously estimate QTL position, QTL effects, and QTL-marker linkage phases by incorporating the impact of a cytological parameter determining bivalent chromosome pairings (the preferential pairing factor). Simulation studies are performed to investigate the performance and robustness of our statistical method for parameter estimation. The implication and extension of the bivalent polyploid model are discussed.

Original languageEnglish (US)
Pages (from-to)581-595
Number of pages15
JournalGenetics
Volume166
Issue number1
DOIs
StatePublished - Jan 1 2004

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Polyploidy
Tetraploidy
Quantitative Trait Loci
Chromosome Pairing
Biological Phenomena
Meiosis
Alleles
Genes

All Science Journal Classification (ASJC) codes

  • Genetics

Cite this

Wu, Rongling ; Ma, Chang Xing ; Casella, George. / A Bivalent Polyploid Model for Mapping Quantitative Trait Loci in Outcrossing Tetraploids. In: Genetics. 2004 ; Vol. 166, No. 1. pp. 581-595.
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A Bivalent Polyploid Model for Mapping Quantitative Trait Loci in Outcrossing Tetraploids. / Wu, Rongling; Ma, Chang Xing; Casella, George.

In: Genetics, Vol. 166, No. 1, 01.01.2004, p. 581-595.

Research output: Contribution to journalArticle

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