Melt Analysis of Mismatch Amplification Mutation Assays (Melt-MAMA): A Functional Study of a Cost-Effective SNP Genotyping Assay in Bacterial Models
Single nucleotide polymorphisms (SNPs) are abundant in genomes of all species and biologically informative markers extensively used across broad scientific disciplines. Newly identified SNP markers are publicly available at an ever-increasing rate due to advancements in sequencing technologies. Effi...
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pubmed-33063772012-03-21 Melt Analysis of Mismatch Amplification Mutation Assays (Melt-MAMA): A Functional Study of a Cost-Effective SNP Genotyping Assay in Bacterial Models Birdsell, Dawn N. Pearson, Talima Price, Erin P. Hornstra, Heidie M. Nera, Roxanne D. Stone, Nathan Gruendike, Jeffrey Kaufman, Emily L. Pettus, Amanda H. Hurbon, Audriana N. Buchhagen, Jordan L. Harms, N. Jane Chanturia, Gvantsa Gyuranecz, Miklos Wagner, David M. Keim, Paul S. Research Article Single nucleotide polymorphisms (SNPs) are abundant in genomes of all species and biologically informative markers extensively used across broad scientific disciplines. Newly identified SNP markers are publicly available at an ever-increasing rate due to advancements in sequencing technologies. Efficient, cost-effective SNP genotyping methods to screen sample populations are in great demand in well-equipped laboratories, but also in developing world situations. Dual Probe TaqMan assays are robust but can be cost-prohibitive and require specialized equipment. The Mismatch Amplification Mutation Assay, coupled with melt analysis (Melt-MAMA), is flexible, efficient and cost-effective. However, Melt-MAMA traditionally suffers from high rates of assay design failures and knowledge gaps on assay robustness and sensitivity. In this study, we identified strategies that improved the success of Melt-MAMA. We examined the performance of 185 Melt-MAMAs across eight different pathogens using various optimization parameters. We evaluated the effects of genome size and %GC content on assay development. When used collectively, specific strategies markedly improved the rate of successful assays at the first design attempt from ∼50% to ∼80%. We observed that Melt-MAMA accurately genotypes across a broad DNA range (∼100 ng to ∼0.1 pg). Genomic size and %GC content influence the rate of successful assay design in an independent manner. Finally, we demonstrated the versatility of these assays by the creation of a duplex Melt-MAMA real-time PCR (two SNPs) and conversion to a size-based genotyping system, which uses agarose gel electrophoresis. Melt-MAMA is comparable to Dual Probe TaqMan assays in terms of design success rate and accuracy. Although sensitivity is less robust than Dual Probe TaqMan assays, Melt-MAMA is superior in terms of cost-effectiveness, speed of development and versatility. We detail the parameters most important for the successful application of Melt-MAMA, which should prove useful to the wider scientific community. Public Library of Science 2012-03-16 /pmc/articles/PMC3306377/ /pubmed/22438886 http://dx.doi.org/10.1371/journal.pone.0032866 Text en Birdsell et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Birdsell, Dawn N. Pearson, Talima Price, Erin P. Hornstra, Heidie M. Nera, Roxanne D. Stone, Nathan Gruendike, Jeffrey Kaufman, Emily L. Pettus, Amanda H. Hurbon, Audriana N. Buchhagen, Jordan L. Harms, N. Jane Chanturia, Gvantsa Gyuranecz, Miklos Wagner, David M. Keim, Paul S. |
spellingShingle |
Birdsell, Dawn N. Pearson, Talima Price, Erin P. Hornstra, Heidie M. Nera, Roxanne D. Stone, Nathan Gruendike, Jeffrey Kaufman, Emily L. Pettus, Amanda H. Hurbon, Audriana N. Buchhagen, Jordan L. Harms, N. Jane Chanturia, Gvantsa Gyuranecz, Miklos Wagner, David M. Keim, Paul S. Melt Analysis of Mismatch Amplification Mutation Assays (Melt-MAMA): A Functional Study of a Cost-Effective SNP Genotyping Assay in Bacterial Models |
author_facet |
Birdsell, Dawn N. Pearson, Talima Price, Erin P. Hornstra, Heidie M. Nera, Roxanne D. Stone, Nathan Gruendike, Jeffrey Kaufman, Emily L. Pettus, Amanda H. Hurbon, Audriana N. Buchhagen, Jordan L. Harms, N. Jane Chanturia, Gvantsa Gyuranecz, Miklos Wagner, David M. Keim, Paul S. |
author_sort |
Birdsell, Dawn N. |
title |
Melt Analysis of Mismatch Amplification Mutation Assays (Melt-MAMA): A Functional Study of a Cost-Effective SNP Genotyping Assay in Bacterial Models |
title_short |
Melt Analysis of Mismatch Amplification Mutation Assays (Melt-MAMA): A Functional Study of a Cost-Effective SNP Genotyping Assay in Bacterial Models |
title_full |
Melt Analysis of Mismatch Amplification Mutation Assays (Melt-MAMA): A Functional Study of a Cost-Effective SNP Genotyping Assay in Bacterial Models |
title_fullStr |
Melt Analysis of Mismatch Amplification Mutation Assays (Melt-MAMA): A Functional Study of a Cost-Effective SNP Genotyping Assay in Bacterial Models |
title_full_unstemmed |
Melt Analysis of Mismatch Amplification Mutation Assays (Melt-MAMA): A Functional Study of a Cost-Effective SNP Genotyping Assay in Bacterial Models |
title_sort |
melt analysis of mismatch amplification mutation assays (melt-mama): a functional study of a cost-effective snp genotyping assay in bacterial models |
description |
Single nucleotide polymorphisms (SNPs) are abundant in genomes of all species and biologically informative markers extensively used across broad scientific disciplines. Newly identified SNP markers are publicly available at an ever-increasing rate due to advancements in sequencing technologies. Efficient, cost-effective SNP genotyping methods to screen sample populations are in great demand in well-equipped laboratories, but also in developing world situations. Dual Probe TaqMan assays are robust but can be cost-prohibitive and require specialized equipment. The Mismatch Amplification Mutation Assay, coupled with melt analysis (Melt-MAMA), is flexible, efficient and cost-effective. However, Melt-MAMA traditionally suffers from high rates of assay design failures and knowledge gaps on assay robustness and sensitivity. In this study, we identified strategies that improved the success of Melt-MAMA. We examined the performance of 185 Melt-MAMAs across eight different pathogens using various optimization parameters. We evaluated the effects of genome size and %GC content on assay development. When used collectively, specific strategies markedly improved the rate of successful assays at the first design attempt from ∼50% to ∼80%. We observed that Melt-MAMA accurately genotypes across a broad DNA range (∼100 ng to ∼0.1 pg). Genomic size and %GC content influence the rate of successful assay design in an independent manner. Finally, we demonstrated the versatility of these assays by the creation of a duplex Melt-MAMA real-time PCR (two SNPs) and conversion to a size-based genotyping system, which uses agarose gel electrophoresis. Melt-MAMA is comparable to Dual Probe TaqMan assays in terms of design success rate and accuracy. Although sensitivity is less robust than Dual Probe TaqMan assays, Melt-MAMA is superior in terms of cost-effectiveness, speed of development and versatility. We detail the parameters most important for the successful application of Melt-MAMA, which should prove useful to the wider scientific community. |
publisher |
Public Library of Science |
publishDate |
2012 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3306377/ |
_version_ |
1611515065010225152 |