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A simple one-step PCR assay for SNP detection

Polymerase Chain Reaction (PCR) is a powerful tool to detect natural variation or experimentally introduced variation in research and clinical settings and a widely-used method for genotyping. Single nucleotide polymorphisms (SNP) detection is challenging by PCR as the variant and wild type alleles...

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Autores principales: Chen, Jian, Schedl, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Caltech Library 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196326/
https://www.ncbi.nlm.nih.gov/pubmed/34131639
http://dx.doi.org/10.17912/micropub.biology.000399
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author Chen, Jian
Schedl, Tim
author_facet Chen, Jian
Schedl, Tim
author_sort Chen, Jian
collection PubMed
description Polymerase Chain Reaction (PCR) is a powerful tool to detect natural variation or experimentally introduced variation in research and clinical settings and a widely-used method for genotyping. Single nucleotide polymorphisms (SNP) detection is challenging by PCR as the variant and wild type alleles differ by only one nucleotide. Traditional methods to detect SNPs, including Sanger sequencing and commercial kits, are usually time-consuming. Here we describe a simple primer design strategy that enables specific variant detection through regular one-step PCR. The strategy employs the differential efficiency of genomic PCR using a primer that has a single mismatch with the chromosome that contains the SNP to be detected (typically the variant allele) versus two mismatches with the corresponding alternative allele (typically the wild type allele). To date, we have successfully employed this approach to detect more than 20 SNPs. The simplicity and robustness of the approach allows rapid application to legacy mutations as well as newly discovered or generated SNPs.
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spelling pubmed-81963262021-06-14 A simple one-step PCR assay for SNP detection Chen, Jian Schedl, Tim MicroPubl Biol New Finding Polymerase Chain Reaction (PCR) is a powerful tool to detect natural variation or experimentally introduced variation in research and clinical settings and a widely-used method for genotyping. Single nucleotide polymorphisms (SNP) detection is challenging by PCR as the variant and wild type alleles differ by only one nucleotide. Traditional methods to detect SNPs, including Sanger sequencing and commercial kits, are usually time-consuming. Here we describe a simple primer design strategy that enables specific variant detection through regular one-step PCR. The strategy employs the differential efficiency of genomic PCR using a primer that has a single mismatch with the chromosome that contains the SNP to be detected (typically the variant allele) versus two mismatches with the corresponding alternative allele (typically the wild type allele). To date, we have successfully employed this approach to detect more than 20 SNPs. The simplicity and robustness of the approach allows rapid application to legacy mutations as well as newly discovered or generated SNPs. Caltech Library 2021-06-11 /pmc/articles/PMC8196326/ /pubmed/34131639 http://dx.doi.org/10.17912/micropub.biology.000399 Text en Copyright: © 2021 by the authors https://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 credited.
spellingShingle New Finding
Chen, Jian
Schedl, Tim
A simple one-step PCR assay for SNP detection
title A simple one-step PCR assay for SNP detection
title_full A simple one-step PCR assay for SNP detection
title_fullStr A simple one-step PCR assay for SNP detection
title_full_unstemmed A simple one-step PCR assay for SNP detection
title_short A simple one-step PCR assay for SNP detection
title_sort simple one-step pcr assay for snp detection
topic New Finding
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196326/
https://www.ncbi.nlm.nih.gov/pubmed/34131639
http://dx.doi.org/10.17912/micropub.biology.000399
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