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Published on: November 10, 2015
Molecular mapping and breeding with microsatellite markers
David A Lightfoot1, Muhammad J Iqbal
1Department of Plant, Soil and General Agriculture, Center of Excellence in Soybean Research, Teaching and Outreach, Southern Illinois University at Carbondale, Carbondale, IL, USA.
Thousands of mapped loci in crop genetics are being refined. Microsatellite markers and advanced methods are crucial for identifying genes controlling important traits like yield and composition.
Area of Science:
- Agricultural Science
- Genetics
- Biotechnology
Background:
- Crop genetics databases contain thousands of mapped loci for various traits.
- The number of identified loci is expected to grow with new data and improved genetic maps.
- Loci are undergoing reevaluation to identify those linked to environmental effects and developmental series.
Purpose of the Study:
- To discuss the increasing number of mapped loci in crop genetics.
- To highlight the importance of new methods for mapping, fine-mapping, and gene isolation.
- To emphasize the utility of microsatellite markers in crop breeding and trait analysis.
Main Methods:
- Utilizing microsatellite markers for their codominance, abundance, polymorphism, and ease of use.
- Employing selective genotyping approaches, including genotype ranking and bulked segregation analysis (BSA).
- Developing and using microsatellites derived from genomic sequences for various trait types.
- Combining association mapping with high-throughput genotyping and genome sequences.
Main Results:
- Microsatellite markers are presented as highly useful tools for breeders.
- Selective genotyping and BSA are increasingly important applications for microsatellites.
- Successful examples of mapping, fine-mapping, and gene isolation using these methods are provided.
Conclusions:
- Accurate QTL maps and advanced breeding methods are essential for crop improvement.
- New methods for gene mapping and isolation will drive advances in crop biotechnology.
- Association mapping with microsatellite markers, combined with high-throughput genotyping and genome sequences, will significantly advance crop trait analysis.
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