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A microarray platform and novel SNP calling algorithm to evaluate Plasmodium falciparum field samples of low DNA
Christopher G Jacob, John C Tan, Becky A Miller
1Malaria Group, Howard Hughes Medical Institute / Center for Vaccine Development, University of Maryland School of Medicine, Baltimore, MD 21201, USA. cplowe@medicine.umaryland.edu.
BMC Genomics
|August 28, 2014
Summary
A new DNA microarray and algorithm enable accurate genome-wide SNP analysis from Plasmodium falciparum samples, even with low DNA concentrations. This advances malaria genomic epidemiology in diverse field settings.
Area of Science:
- Genomics
- Molecular Biology
- Infectious Disease Epidemiology
Background:
- Genome-wide analysis of single nucleotide polymorphisms (SNPs) is crucial for understanding Plasmodium falciparum diversity, population structure, and drug resistance.
- Traditional genomic analysis requires large DNA volumes, often unavailable from remote field samples like dried blood spots.
- Developing methods for low-input DNA is essential for advancing malaria genomic epidemiology in resource-limited settings.
Purpose of the Study:
- To develop and validate a high-density DNA microarray and calling algorithm for genome-wide SNP typing of Plasmodium falciparum.
- To enable accurate genomic analysis from low-quantity parasite DNA typically obtained from field samples.
Main Methods:
- Design of a genome-wide SNP DNA microarray targeting variable SNPs identified across different geographic regions.
- Development of a novel algorithm for accurate SNP calling in samples with limited parasite DNA.
- Validation of the microarray and algorithm using purified DNA from malaria lab strains and field samples from Southeast Asia.
Main Results:
- The developed algorithm achieved 98% SNP-calling accuracy when compared to full genome sequences from lab strains.
- High-density microarray analysis of field samples yielded an average accuracy of >98% with a call rate of >82%.
- The system demonstrated robustness across a wide range of parasite DNA quantities.
Conclusions:
- The high-density microarray and associated algorithm provide high-quality SNP calls from diverse parasite DNA quantities.
- This represents a robust tool for advancing genome-wide analysis of malaria parasites in various field settings.
- Facilitates deeper insights into Plasmodium falciparum populations, aiding drug resistance and vaccine development efforts.
