Abstract
As a group of important plant species in agriculture and biology, polyploids have been increasingly studied in terms of their genome structure and organization. There are two types of polyploids, allopolyploids and autopolyploids, each resulting from a different genetic origin, which undergo meiotic divisions of a distinct complexity. A set of statistical models has been developed for linkage analysis, respectively for each type, by taking into account their unique meiotic behavior, i.e. preferential pairing for allopolyploids and double reduction for autopolyploids. We synthesized these models and modified them to accommodate the linkage analysis of less informative dominant markers. By reanalysing a published data set of varying ploidy in Arabidopsis, we corrected the estimates of the meiotic recombination frequency aimed to study the significance of polyploidization.
Original language | English (US) |
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Pages (from-to) | 32-38 |
Number of pages | 7 |
Journal | Briefings in bioinformatics |
Volume | 16 |
Issue number | 1 |
DOIs | |
State | Published - Oct 5 2013 |
All Science Journal Classification (ASJC) codes
- Information Systems
- Molecular Biology