Literature DB >> 27651481

AlloMap6: an R package for genetic linkage analysis in allohexaploids.

Xuli Zhu, Huan Li, Meixia Ye, Libo Jiang, Mengmeng Sang, Rongling Wu.   

Abstract

Allopolyploids are a group of polyploids with more than two sets of chromosomes derived from different species. Previous linkage analysis of allopolyploids is based on the assumption that different chromosomes pair randomly during meiosis. A more sophisticated model to relax this assumption has been developed for allotetraploids by incorporating the preferential pairing behavior of homologous over homoeologous chromosomes. Here, we show that the basic principle of this model can be extended to perform linkage analysis of higher-ploidy allohexaploids, where multiple preferential pairing factors are used to characterize chromosomal-pairing meiotic features between different constituent species. We implemented the extended model into an R package, called AlloMap6, allowing the recombination fractions and preferential pairing factors to be estimated simultaneously. Allomap6 has two major functionalities, computer simulation and real-data analysis. By analyzing a real data from a full-sib family of allohexaploid persimmon, we tested and validated the usefulness and utility of this package. AlloMap6 lays a foundation for allohexaploid genetic mapping and provides a new horizon to explore the chromosomal kinship of allohexaploids.
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Keywords:  EM algorithm; allohexaploid; persimmon; preferential pairing factor; recombination fraction

Mesh:

Year:  2017        PMID: 27651481     DOI: 10.1093/bib/bbw085

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  1 in total

1.  polymapR-linkage analysis and genetic map construction from F1 populations of outcrossing polyploids.

Authors:  Peter M Bourke; Geert van Geest; Roeland E Voorrips; Johannes Jansen; Twan Kranenburg; Arwa Shahin; Richard G F Visser; Paul Arens; Marinus J M Smulders; Chris Maliepaard
Journal:  Bioinformatics       Date:  2018-10-15       Impact factor: 6.937

  1 in total

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