Quantitative high resolution melting: two methods to determine SNP allele frequencies from pooled samples

Area of Science:

• Population genetics
• Molecular ecology
• Genomics

Background:

• Next-generation sequencing generates vast single nucleotide polymorphism (SNP) data in non-model organisms.
• Profiling SNPs across multiple natural populations is time-consuming and resource-intensive.

Purpose of the Study:

• To introduce cost-efficient quantitative High Resolution Melting (qHRM) methods for SNP allele frequency measurement in pooled DNA.
• To compare two qHRM methods (peaks and curves) for SNP profiling in natural populations.

Main Methods:

• Developed two quantitative High Resolution Melting (qHRM) methods: "peaks" for high-throughput SNP screening and "curves" for higher accuracy with fewer SNPs.
• Applied qHRM methods to pooled DNA samples from the reef-building coral Acropora millepora.
• Validated allele proportion recovery from known genotype mixtures.

Main Results:

• Both qHRM methods accurately recovered allele proportions from pooled DNA samples.
• The "peaks" method allows rapid screening of hundreds of SNPs.
• The "curves" method provides slightly higher accuracy for smaller SNP sets.

Conclusions:

• qHRM methods significantly reduce effort and genotyping costs for profiling candidate SNPs across numerous populations.
• These methods are valuable for validating SNPs identified in population genomic studies.
• Enables efficient large-scale SNP analysis in non-model organisms.