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OneMap: software for genetic mapping in outcrossing species
G R A Margarido1, A P Souza, A A F Garcia
1Department of Genetics, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Piracicaba, São Paulo, Brazil.
Hereditas
|August 1, 2007
Summary
OneMap software constructs linkage maps for outcrossing plants using maximum likelihood estimation. This R package refines genetic mapping by analyzing marker data for improved plant breeding and genetic studies.
Area of Science:
- Genetics
- Bioinformatics
- Plant Science
Background:
- Constructing accurate genetic linkage maps is crucial for understanding plant genomes and facilitating breeding programs.
- Existing methods may have limitations in handling complex genetic data from outcrossing species.
Purpose of the Study:
- To introduce OneMap, a novel software environment for building linkage maps in outcrossing plant species.
- To provide a robust tool for simultaneous estimation of linkage and linkage phases.
Main Methods:
- Utilizes a maximum likelihood approach for genetic analysis.
- Implemented as functions within the R statistical software environment.
- Handles pairwise marker analysis, marker ordering, and map refinement.
Main Results:
- Successfully applied the methodology to sugarcane linkage mapping.
- Provides a comprehensive environment for linkage map construction.
- Offers a freely available resource for the scientific community.
Conclusions:
- OneMap offers an effective solution for genetic mapping in outcrossing plants.
- The software enhances the accuracy and efficiency of linkage analysis.
- Facilitates advancements in plant genetics and breeding through accessible tools.
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