Literature DB >> 21681487

Linkage analysis in unconventional mating designs in line crosses.

James C Nelson1.   

Abstract

Linkage estimation and genetic map construction with genotyped DNA markers in plants preferentially employ a few maximally informative early-generation or recombinant-inbred mating designs. Fitting their recombination models to unconventional designs adapted to cultivar development (series of backcrossing, selfing, haploid-doubling, random-intercrossing, and sib-mating steps) distorts single- and multipoint linkage estimates even with dense marker coverage. Two methods are provided for correct linkage estimation in unconventional designs: fitting a correct multigeneration model, or correcting the estimates produced by fitting a one-generation model with any conventional software. These methods also support calculation of multilocus genotype frequencies and QTL-genotype distributions and are available in software.

Mesh:

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Year:  2011        PMID: 21681487     DOI: 10.1007/s00122-011-1635-3

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  29 in total

1.  On the determination of recombination rates in intermated recombinant inbred populations.

Authors:  Christopher R Winkler; Nicole M Jensen; Mark Cooper; Dean W Podlich; Oscar S Smith
Journal:  Genetics       Date:  2003-06       Impact factor: 4.562

2.  RECORD: a novel method for ordering loci on a genetic linkage map.

Authors:  Hans Van Os; Piet Stam; Richard G F Visser; Herman J Van Eck
Journal:  Theor Appl Genet       Date:  2005-10-14       Impact factor: 5.699

3.  QTL analysis of yield traits in an advanced backcross population derived from a cultivated Andean x wild common bean (Phaseolus vulgaris L.) cross.

Authors:  M W Blair; G Iriarte; S Beebe
Journal:  Theor Appl Genet       Date:  2006-01-24       Impact factor: 5.699

4.  Genome-wide high-resolution mapping by recurrent intermating using Arabidopsis thaliana as a model.

Authors:  S C Liu; S P Kowalski; T H Lan; K A Feldmann; A H Paterson
Journal:  Genetics       Date:  1996-01       Impact factor: 4.562

5.  Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon.

Authors:  E M Septiningsih; J Prasetiyono; E Lubis; T H Tai; T Tjubaryat; S Moeljopawiro; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-09-26       Impact factor: 5.699

6.  Mapping quantitative trait loci for yield, yield components and morphological traits in an advanced backcross population between Oryza rufipogon and the Oryza sativa cultivar Jefferson.

Authors:  M J Thomson; T H Tai; A M McClung; X-H Lai; M E Hinga; K B Lobos; Y Xu; C P Martinez; S R McCouch
Journal:  Theor Appl Genet       Date:  2003-05-08       Impact factor: 5.699

7.  Advanced backcross QTL analysis in progenies derived from a cross between a German elite winter wheat variety and a synthetic wheat (Triticum aestivum L.).

Authors:  X Q Huang; H Kempf; M W Ganal; M S Röder
Journal:  Theor Appl Genet       Date:  2004-09       Impact factor: 5.699

8.  Construction of multilocus genetic linkage maps in humans.

Authors:  E S Lander; P Green
Journal:  Proc Natl Acad Sci U S A       Date:  1987-04       Impact factor: 11.205

9.  QTL analysis reveals context-dependent loci for seed glucosinolate trait in the oilseed Brassica juncea: importance of recurrent selection backcross scheme for the identification of 'true' QTL.

Authors:  N Ramchiary; N C Bisht; V Gupta; A Mukhopadhyay; N Arumugam; Y S Sodhi; D Pental; A K Pradhan
Journal:  Theor Appl Genet       Date:  2007-09-26       Impact factor: 5.699

10.  Genetic architecture of quantitative trait loci associated with morphological and agronomic trait differences in a wild by cultivated barley cross.

Authors:  L Gyenis; S J Yun; K P Smith; B J Steffenson; E Bossolini; M C Sanguineti; G J Muehlbauer
Journal:  Genome       Date:  2007-08       Impact factor: 2.166

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