Selective genotyping for determination of linkage between a marker locus and a quantitative trait locus

1992 ◽  
Vol 85-85 (2-3) ◽  
pp. 353-359 ◽  
Author(s):  
A. Darvasi ◽  
M. Soller
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait ◽  
Marker Locus ◽  
Selective Genotyping ◽  
Trait Locus

Identification of RAPD markers for percent hull in oat

Genome ◽  
1997 ◽  
Vol 40 (6) ◽  
pp. 873-878 ◽  
Author(s):  
P. S. Ronald ◽  
G. A. Penner ◽  
P. D. Brown ◽  
A. Brûlé-Babel
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait ◽  
Genetic Factors ◽  
Bulked Segregant Analysis ◽  
Multiple Time ◽  
Test Statistics ◽  
Marker Loci ◽  
Correct Determination ◽  
Trait Locus

Percent hull is an important physical parameter of oat grain quality, but it is affected by environment. Multiple time-consuming evaluations are required to obtain a correct determination of phenotype. The application of marker-assisted selection for the genes involved would greatly simplify the identification of desirable oat genotypes. Bulked segregant analysis, with selected progeny lines derived from a cross between Cascade and AC Marie (30 and 23% hull, respectively), was used to identify randomly amplified polymorphic DNA markers linked to genetic factors controlling primary kernel hull percentage in oat. Twelve polymorphisms, identified between bulks, were tested for linkage to genetic factors controlling hull percentage by genotyping 80 randomly selected F2-derived F8 lines from the progeny population. Three markers showed significant test statistics for quantitative trait locus effects, when tested with primary kernel percent hull data from two environments. Together, the unlinked marker loci OPC13800, OPD20600, and OPK71300 explained approximately 41% of the genetic variance in primary kernel percent hull, after accounting for the main effect of environment.Key words: Avena sativa, hull percentage, bulked segregant analysis, quantitative trait locus.

scholarly journals Significance Thresholds for Quantitative Trait Locus Mapping Under Selective Genotyping

Genetics ◽  
2007 ◽  
Vol 177 (3) ◽  
pp. 1963-1966 ◽  
Author(s):  
Ani Manichaikul ◽  
Abraham A. Palmer ◽  
Śaunak Sen ◽  
Karl W. Broman
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait Locus Mapping ◽  
Quantitative Trait ◽  
Selective Genotyping ◽  
Trait Locus ◽  
Locus Mapping

scholarly journals Selective DNA pooling for determination of linkage between a molecular marker and a quantitative trait locus.

Genetics ◽  
1994 ◽  
Vol 138 (4) ◽  
pp. 1365-1373 ◽  
Author(s):  
A Darvasi ◽  
M Soller
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait ◽  
Allele Frequencies ◽  
Selective Genotyping ◽  
Technical Error ◽  
Dna Pooling ◽  
Wide Range ◽  
Trait Locus ◽  
Pooled Samples ◽  
Selective Dna Pooling

Abstract Selective genotyping is a method to reduce costs in marker-quantitative trait locus (QTL) linkage determination by genotyping only those individuals with extreme, and hence most informative, quantitative trait values. The DNA pooling strategy (termed: "selective DNA pooling") takes this one step further by pooling DNA from the selected individuals at each of the two phenotypic extremes, and basing the test for linkage on marker allele frequencies as estimated from the pooled samples only. This can reduce genotyping costs of marker-QTL linkage determination by up to two orders of magnitude. Theoretical analysis of selective DNA pooling shows that for experiments involving backcross, F2 and half-sib designs, the power of selective DNA pooling for detecting genes with large effect, can be the same as that obtained by individual selective genotyping. Power for detecting genes with small effect, however, was found to decrease strongly with increase in the technical error of estimating allele frequencies in the pooled samples. The effect of technical error, however, can be markedly reduced by replication of technical procedures. It is also shown that a proportion selected of 0.1 at each tail will be appropriate for a wide range of experimental conditions.

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