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Published on: April 1, 2019
The tagged microarray marker (TAM) method for high-throughput detection of single nucleotide and indel polymorphisms
Runchun Jing1, Viacheslav Bolshakov, Andrew J Flavell
1Plant Research Unit, University of Dundee at SCRI, Invergowrie, Dundee DD2 5DA, UK.
Nature Protocols
|April 3, 2007
Summary
The tagged microarray marker (TAM) method offers high-throughput differentiation of PCR products for genetic analysis. This molecular marker approach efficiently determines single nucleotide polymorphisms (SNPs) and indel alleles in multiple individuals.
Area of Science:
- Molecular Biology
- Genetics
- Bioinformatics
Background:
- Determining allelic states of genetic variations like SNPs and indels is crucial in population genetics and disease studies.
- Existing methods for high-throughput genotyping can be costly and complex.
- The tagged microarray marker (TAM) method provides an alternative for efficient genetic analysis.
Purpose of the Study:
- To describe a protocol for the tagged microarray marker (TAM) method.
- To demonstrate the high-throughput capacity of TAM for differentiating alternative PCR products.
- To highlight the flexibility and scalability of TAM for various genetic research needs.
Main Methods:
- Biotin-labeled PCR products are spotted onto a streptavidin-coated slide.
- Hybridization with fluorescent detector oligonucleotides differentiates allele-specific tags.
- Analysis of thousands of PCRs per slide enables high-throughput genotyping.
Main Results:
- The TAM method allows for high-throughput differentiation of predicted alternative PCR products.
- The protocol successfully scored 3,072 PCRs on a single slide.
- The entire process from PCR setup to data spreadsheet generation takes 2 days.
Conclusions:
- The TAM method is a flexible and scalable tool for molecular marker-based genotyping.
- Its high throughput and rapid turnaround time make it suitable for large-scale genetic studies.
- TAM facilitates efficient determination of SNP and indel allelic states in diverse populations.

