Literature DB >> 8332466

Genetic mapping of mutations using phenotypic pools and mapped RAPD markers.

J G Williams1, R S Reiter, R M Young, P A Scolnik.   

Abstract

Genetic markers facilitate the study of inheritance and the cloning of genes by genetic approaches. Molecular markers detect differences in DNA sequence, and are thus less ambiguous than phenotypic markers, which require gene expression. We have demonstrated a molecular approach to the mapping of mutant genes using RAPD markers and pooling of individuals based on phenotype. To map genes by phenotypic pooling a strain carrying a mutation is crossed to a strain that is homozygous for the wild-type allele of the corresponding gene. A set of primers corresponding to mapped RAPDs distributed throughout the genome and in coupling phase with respect to the wild type parent is then used to amplify DNA from wild type and mutant pools of F2 individuals. Linkage between the mutant gene and the RAPD markers is visualized by the absence of the corresponding RAPD DNA bands in the mutant pool. We developed a mathematical model for calculating the probability of linkage between RAPDs and target genes and we successfully tested this approach with the model plant Arabidopsis thaliana.

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Year:  1993        PMID: 8332466      PMCID: PMC309602          DOI: 10.1093/nar/21.11.2697

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  6 in total

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4.  Global and local genome mapping in Arabidopsis thaliana by using recombinant inbred lines and random amplified polymorphic DNAs.

Authors:  R S Reiter; J G Williams; K A Feldmann; J A Rafalski; S V Tingey; P A Scolnik
Journal:  Proc Natl Acad Sci U S A       Date:  1992-02-15       Impact factor: 11.205

5.  Restriction Fragment Length Polymorphism Linkage Map of Arabidopsis thaliana.

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6.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

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  6 in total
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Authors:  P G Lanham; R M Brennan; C Hackett; R J McNicol
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9.  MAAP: a versatile and universal tool for genome analysis.

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