Literature DB >> 10415330

Statistical aspects of genetic mapping in autopolyploids.

M I Ripol1, G A Churchill, J A da Silva, M Sorrells.   

Abstract

Many plant species of agriculture importance are polyploid, having more than two copies of each chromosome per cell. In this paper, we describe statistical methods for genetic map construction in autopolyploid species with particular reference to the use of molecular markers. The first step is to determine the dosage of each DNA fragment (electrophoretic band) from its segregation ratio. Fragments present in a single dose can be used to construct framework maps for individual chromosomes. Fragments present in multiple doses can often be used to link the single chromosome maps into homologous groups and provide additional ordering information. Marker phenotype probabilities were calculated for pairs of markers arranged in different configurations among the homologous chromosomes. These probabilities were used to compute a maximum likelihood estimator of the recombination fraction between pairs of markers. A likelihood ratio test for linkage of multidose markers was derived. The information provided by each configuration and power and sample size considerations are also discussed. A set of 294 RFLP markers scored on 90 plants of the species Saccharum spontaneum L. was used to illustrate the construction of an autopolyploid map. Previous studies conducted on the same data revealed that this species of sugar cane is an autooctaploid with 64 chromosomes arranged into eight homologous groups. The methodology described permitted consolidation of 54 linkage groups into ten homologous groups.

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Year:  1999        PMID: 10415330     DOI: 10.1016/s0378-1119(99)00218-8

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  31 in total

1.  Interval mapping of quantitative trait loci in autotetraploid species.

Authors:  C A Hackett; J E Bradshaw; J W McNicol
Journal:  Genetics       Date:  2001-12       Impact factor: 4.562

2.  A multivalent pairing model of linkage analysis in autotetraploids.

Authors:  S S Wu; R Wu; C X Ma; Z B Zeng; M C Yang; G Casella
Journal:  Genetics       Date:  2001-11       Impact factor: 4.562

3.  A general polyploid model for analyzing gene segregation in outcrossing tetraploid species.

Authors:  R Wu; M Gallo-Meagher; R C Littell; Z B Zeng
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

4.  A unified framework for mapping quantitative trait loci in bivalent tetraploids using single-dose restriction fragments: a case study from alfalfa.

Authors:  Chang-Xing Ma; George Casella; Zuo-Jun Shen; Thomas C Osborn; Rongling Wu
Journal:  Genome Res       Date:  2002-12       Impact factor: 9.043

5.  Theoretical basis for genetic linkage analysis in autotetraploid species.

Authors:  Z W Luo; R M Zhang; M J Kearsey
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-20       Impact factor: 11.205

6.  A bivalent polyploid model for mapping quantitative trait loci in outcrossing tetraploids.

Authors:  Rongling Wu; Chang-Xing Ma; George Casella
Journal:  Genetics       Date:  2004-01       Impact factor: 4.562

7.  A model selection-based interval-mapping method for autopolyploids.

Authors:  Dachuang Cao; Bruce A Craig; R W Doerge
Journal:  Genetics       Date:  2005-01-31       Impact factor: 4.562

8.  A general framework for statistical linkage analysis in multivalent tetraploids.

Authors:  Rongling Wu; Chang-Xing Ma
Journal:  Genetics       Date:  2005-03-31       Impact factor: 4.562

9.  Constructing genetic linkage maps under a tetrasomic model.

Authors:  Z W Luo; Ze Zhang; Lindsey Leach; R M Zhang; John E Bradshaw; M J Kearsey
Journal:  Genetics       Date:  2006-01-16       Impact factor: 4.562

10.  Estimation of copy number in polyploid plants: the good, the bad, and the ugly.

Authors:  Andrew W George
Journal:  Theor Appl Genet       Date:  2009-05-18       Impact factor: 5.699

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