ArticleGenome research2002
A unified framework for mapping quantitative trait loci in bivalent tetraploids using single-dose restriction fragments: a case study from alfalfa.
Article in Genome research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 18 citations in OpenAlex.
- Combating Root-Knot Nematodes (Plants (Basel, Switzerland) · 2025Review
- Asymptotic tests for Hardy-Weinberg equilibrium in hexaploids.Horticulture research · 2022Article
- Em algorithm for mapping quantitative trait Loci in multivalent tetraploids.International journal of plant genomics · 2010Article
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- Theoretical basis for genetic linkage analysis in autotetraploid species.Proceedings of the National Academy of Sciences of the United States of America · 2004Article
- Mapping of quantitative trait loci (QTLs) affecting autumn freezing resistance and phenology in Salix.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2004Article
- Correct estimation of preferential chromosome pairing in autotetraploids.Genome research · 2004Article
- Construction of two genetic linkage maps in cultivated tetraploid alfalfa (Medicago sativa) using microsatellite and AFLP markers.BMC plant biology · 2003Article
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5 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
The development of statistical methodologies for quantitative trait locus (QTL) mapping in polyploids is complicated by complex polysomic inheritance. In this article, we propose a statistical method for mapping QTL in tetraploids undergoing bivalent formation at meiosis by using single-dose restriction fragments. Our method is based on a unified framework, one that uses chromosome bivalent pairing configuration and gametic recombination to discern different mechanisms of gamete formation. Our bivalent polyploid model can not only provide a simultaneous estimation of the linkage and chromosome pairing configuration-a cytological parameter of evolutionary and systematic interest-but also enhances the precision of estimating QTL effects and position by correctly characterizing gene segregation during polyploid meiosis. By using our method and a linkage map constructed in a previous study, we successfully identify several QTL affecting winter hardiness in bivalent tetraploid alfalfa. Moreover, our results reveal significant preferential chromosome pairing at meiosis in an F1 hybrid population, which indicates the importance of reassessing the traditional view of random chromosome segregation in alfalfa.
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