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High-throughput genetic mapping of mutants via quantitative single nucleotide polymorphism typing
Sanzhen Liu1, Hsin D Chen, Irina Makarevitch
1Biology and the Genetics Institute, University of Florida, Gainesville, Florida 32610, USA.
Genetics
|November 4, 2009
Summary
Researchers developed a cost-efficient method using Sequenom-based single nucleotide polymorphism (SNP) assays to genetically map maize mutants. This approach enables rapid mapping of recessive mutants, accelerating genetic research.
Area of Science:
- Plant genetics
- Genomics
- Molecular biology
Background:
- Next-generation sequencing (NGS) technologies have greatly advanced the identification of single nucleotide polymorphisms (SNPs).
- Developing reliable genetic markers from identified SNPs is crucial for genetic mapping and analysis.
Purpose of the Study:
- To develop and validate Sequenom-based SNP-typing assays for maize.
- To establish an efficient strategy for genetically mapping mutants using SNP assays.
Main Methods:
- Comparative next-generation transcriptomic sequencing was used to identify maize SNPs.
- Sequenom-based SNP-typing assays were developed for 1359 maize SNPs.
- Genotyping of recombinant inbred lines (RILs) from the B73 x Mo17 population was performed to create a SNP-based genetic map.
- Quantitative bulked segregant analysis (BSA) was employed for mutant mapping.
Main Results:
- Approximately 75% of the developed SNP assays were successfully converted into reliable genetic markers.
- A SNP-based genetic map was generated using the B73 x Mo17 RIL population.
- A time- and cost-efficient strategy for genetically mapping recessive mutants was developed and validated.
- This strategy enabled the rapid mapping of loci associated with several dozen recessive mutants.
Conclusions:
- Sequenom-based SNP assays provide a robust tool for genetic mapping in maize.
- Quantitative BSA using SNP assays offers a rapid and efficient method for mapping mutants.
- The developed strategy is scalable and has the potential for wide adoption across various species for genetic mapping.
