Literature DB >> 24241113

Trait-based analyses for the detection of linkage between marker loci and quantitative trait loci in crosses between inbred lines.

R J Lebowitz1, M Soller, J S Beckmann.   

Abstract

Methods are presented for determining linkage between a marker locus and a nearby locus affecting a quantitative trait (quantitative trait locus=QTL), based on changes in the marker allele frequencies in selection lines derived from the F-2 of a cross between inbred lines, or in the "high" and "low" phenotypic classes of an F-2 or BC population. The power of such trait-based (TB) analyses was evaluated and compared with that of methods for determining linkage based on the mean quantitative trait value of marker genotypes in F-2 or BC populations [marker-based (MB) analyses]. TB analyses can be utilized for marker-QTL linkage determination in situations where the MB analysis is not applicable, including analysis of polygenic resistance traits where only a part of the population survives exposure to the Stressor and analysis of marker-allele frequency changes in selection lines. TB analyses may be a useful alternative to MB analyses when interest is centered on a single quantitative trait only and costs of scoring for markers are high compared with costs of raising and obtaining quantitative trait information on F-2 or BC individuals. In this case, a TB analysis will enable equivalent power to be obtained with fewer individuals scored for the marker, but more individuals scored for the quantitative trait. MB analyses remain the method of choice when more than one quantitative trait is to be analyzed in a given population.

Entities:  

Year:  1987        PMID: 24241113     DOI: 10.1007/BF00289194

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


  10 in total

1.  The location of genetic factors affecting a quantitative character in wheat.

Authors:  C N Law
Journal:  Genetics       Date:  1966-03       Impact factor: 4.562

2.  The use marker alleles for the introgression of linked quantitative alleles.

Authors:  M Soller; J Plotkin-Hazan
Journal:  Theor Appl Genet       Date:  1977-05       Impact factor: 5.699

3.  Genetic polymorphism in varietal identification and genetic improvement.

Authors:  M Soller; J S Beckmann
Journal:  Theor Appl Genet       Date:  1983-11       Impact factor: 5.699

4.  Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs.

Authors:  J S Beckmann; M Soller
Journal:  Theor Appl Genet       Date:  1983-11       Impact factor: 5.699

5.  Isozymic gene linkage map of the tomato: Applications in genetics and breeding.

Authors:  S D Tanksley; C M Rick
Journal:  Theor Appl Genet       Date:  1980-03       Impact factor: 5.699

6.  On the power of experimental designs for the detection of linkage between marker loci and quantitative loci in crosses between inbred lines.

Authors:  M Soller; T Brody; A Genizi
Journal:  Theor Appl Genet       Date:  1976-01       Impact factor: 5.699

7.  Allozyme Frequency Changes Associated with Selection for Increased Grain Yield in Maize (ZEA MAYS L.).

Authors:  C W Stuber; R H Moll; M M Goodman; H E Schaffer; B S Weir
Journal:  Genetics       Date:  1980-05       Impact factor: 4.562

8.  Regular responses to selection. 3. Interaction between located polygenes.

Authors:  S G Spickett; J M Thoday
Journal:  Genet Res       Date:  1966-02       Impact factor: 1.588

9.  Segregation of isozyme markers and cold tolerance in an interspecific backcross of tomato.

Authors:  C E Vallejos; S D Tanksley
Journal:  Theor Appl Genet       Date:  1983-09       Impact factor: 5.699

10.  Effects of marked chromosome sections on quantitative traits in the mouse.

Authors:  R Kluge; H Geldermann
Journal:  Theor Appl Genet       Date:  1982-03       Impact factor: 5.699

  10 in total
  43 in total

1.  Quantitative trait loci involved in genetic predisposition to acute alcohol withdrawal in mice.

Authors:  K J Buck; P Metten; J K Belknap; J C Crabbe
Journal:  J Neurosci       Date:  1997-05-15       Impact factor: 6.167

2.  Marker-evaluated selection in rice: shifts in allele frequency among bulks selected in contrasting agricultural environments identify genomic regions of importance to rice adaptation and breeding.

Authors:  K A Steele; G Edwards; J Zhu; J R Witcombe
Journal:  Theor Appl Genet       Date:  2004-10       Impact factor: 5.699

3.  Exploiting selective genotyping to study genetic diversity of resistance to Fusarium head blight in barley.

Authors:  W J Wingbermuehle; C Gustus; K P Smith
Journal:  Theor Appl Genet       Date:  2004-07-15       Impact factor: 5.699

4.  QTL mapping under truncation selection in homozygous lines derived from biparental crosses.

Authors:  Albrecht E Melchinger; Elena Orsini; Chris C Schön
Journal:  Theor Appl Genet       Date:  2011-11-01       Impact factor: 5.699

5.  Impact of selective genotyping in the training population on accuracy and bias of genomic selection.

Authors:  Yusheng Zhao; Manje Gowda; Friedrich H Longin; Tobias Würschum; Nicolas Ranc; Jochen C Reif
Journal:  Theor Appl Genet       Date:  2012-04-06       Impact factor: 5.699

6.  Quantitative trait locus study design from an information perspective.

Authors:  Saunak Sen; Jaya M Satagopan; Gary A Churchill
Journal:  Genetics       Date:  2005-03-21       Impact factor: 4.562

7.  Detection of marker-QTL associations by studying change in marker frequencies with selection.

Authors:  A Gallais; L Moreau; A Charcosset
Journal:  Theor Appl Genet       Date:  2006-12-13       Impact factor: 5.699

8.  Three EST-SSR markers associated with QTL for the growth of the clam Meretrix meretrix revealed by selective genotyping.

Authors:  Xia Lu; Hongxia Wang; Baozhong Liu; Jianhai Xiang
Journal:  Mar Biotechnol (NY)       Date:  2012-04-27       Impact factor: 3.619

9.  Selective genotyping and phenotyping strategies in a complex trait context.

Authors:  Saunak Sen; Frank Johannes; Karl W Broman
Journal:  Genetics       Date:  2009-01-19       Impact factor: 4.562

10.  Genetic factors involved in risk for methamphetamine intake and sensitization.

Authors:  John K Belknap; Shannon McWeeney; Cheryl Reed; Sue Burkhart-Kasch; Carrie S McKinnon; Na Li; Harue Baba; Angela C Scibelli; Robert Hitzemann; Tamara J Phillips
Journal:  Mamm Genome       Date:  2013-11-13       Impact factor: 2.957

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