Cargando…

Comparison of three PCR-based assays for SNP genotyping in plants

BACKGROUND: PCR allelic discrimination technologies have broad applications in the detection of single nucleotide polymorphisms (SNPs) in genetics and genomics. The use of fluorescence-tagged probes is the leading method for targeted SNP detection, but assay costs and error rates could be improved t...

Descripción completa

Detalles Bibliográficos
Autores principales: Broccanello, Chiara, Chiodi, Claudia, Funk, Andrew, McGrath, J. Mitchell, Panella, Lee, Stevanato, Piergiorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872507/
https://www.ncbi.nlm.nih.gov/pubmed/29610576
http://dx.doi.org/10.1186/s13007-018-0295-6
_version_ 1783309851328249856
author Broccanello, Chiara
Chiodi, Claudia
Funk, Andrew
McGrath, J. Mitchell
Panella, Lee
Stevanato, Piergiorgio
author_facet Broccanello, Chiara
Chiodi, Claudia
Funk, Andrew
McGrath, J. Mitchell
Panella, Lee
Stevanato, Piergiorgio
author_sort Broccanello, Chiara
collection PubMed
description BACKGROUND: PCR allelic discrimination technologies have broad applications in the detection of single nucleotide polymorphisms (SNPs) in genetics and genomics. The use of fluorescence-tagged probes is the leading method for targeted SNP detection, but assay costs and error rates could be improved to increase genotyping efficiency. A new assay, rhAmp, based on RNase H2-dependent PCR (rhPCR) combined with a universal reporter system attempts to reduce error rates from primer/primer and primer/probe dimers while lowering costs compared to existing technologies. Before rhAmp can be widely adopted, more experimentation is required to validate its effectiveness versus established methods. RESULTS: The aim of this study was to compare the accuracy, sensitivity and costs of TaqMan, KASP, and rhAmp SNP genotyping methods in sugar beet (Beta vulgaris L.). For each approach, assays were designed to genotype 33 SNPs in a set of 96 sugar beet individuals obtained from 12 parental lines. The assay sensitivity was tested using a series of dilutions from 100 to 0.1 ng per PCR reaction. PCR was carried out on the QuantStudio 12K Flex Real-Time PCR System (Thermo Fisher Scientific, USA). The call-rate, defined as the percentage of genotype calls relative to the possible number of calls, was 97.0, 97.6, and 98.1% for TaqMan, KASP, and rhAmp, respectively. For rhAmp SNP, 24 of the 33 SNPs demonstrated 100% concordance with other two technologies. The genotype concordance with either technologies for the other 9 targets was above 99% (99.34–99.89%). CONCLUSION: The sensitivity test demonstrated that TaqMan and rhAmp were able to successfully determine SNP genotypes using as little as 0.2 ng DNA per reaction, while the KASP was unable to ascertain SNP states below 0.9 ng of DNA per reaction. Comparative cost per reaction was also analyzed with rhAmp SNP offering the lowest cost per reaction. In conclusion, rhAmp produced more calls than either TaqMan or KASP, higher signal to NTC data while offering the lowest cost per reaction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13007-018-0295-6) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5872507
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-58725072018-04-02 Comparison of three PCR-based assays for SNP genotyping in plants Broccanello, Chiara Chiodi, Claudia Funk, Andrew McGrath, J. Mitchell Panella, Lee Stevanato, Piergiorgio Plant Methods Methodology BACKGROUND: PCR allelic discrimination technologies have broad applications in the detection of single nucleotide polymorphisms (SNPs) in genetics and genomics. The use of fluorescence-tagged probes is the leading method for targeted SNP detection, but assay costs and error rates could be improved to increase genotyping efficiency. A new assay, rhAmp, based on RNase H2-dependent PCR (rhPCR) combined with a universal reporter system attempts to reduce error rates from primer/primer and primer/probe dimers while lowering costs compared to existing technologies. Before rhAmp can be widely adopted, more experimentation is required to validate its effectiveness versus established methods. RESULTS: The aim of this study was to compare the accuracy, sensitivity and costs of TaqMan, KASP, and rhAmp SNP genotyping methods in sugar beet (Beta vulgaris L.). For each approach, assays were designed to genotype 33 SNPs in a set of 96 sugar beet individuals obtained from 12 parental lines. The assay sensitivity was tested using a series of dilutions from 100 to 0.1 ng per PCR reaction. PCR was carried out on the QuantStudio 12K Flex Real-Time PCR System (Thermo Fisher Scientific, USA). The call-rate, defined as the percentage of genotype calls relative to the possible number of calls, was 97.0, 97.6, and 98.1% for TaqMan, KASP, and rhAmp, respectively. For rhAmp SNP, 24 of the 33 SNPs demonstrated 100% concordance with other two technologies. The genotype concordance with either technologies for the other 9 targets was above 99% (99.34–99.89%). CONCLUSION: The sensitivity test demonstrated that TaqMan and rhAmp were able to successfully determine SNP genotypes using as little as 0.2 ng DNA per reaction, while the KASP was unable to ascertain SNP states below 0.9 ng of DNA per reaction. Comparative cost per reaction was also analyzed with rhAmp SNP offering the lowest cost per reaction. In conclusion, rhAmp produced more calls than either TaqMan or KASP, higher signal to NTC data while offering the lowest cost per reaction. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13007-018-0295-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-28 /pmc/articles/PMC5872507/ /pubmed/29610576 http://dx.doi.org/10.1186/s13007-018-0295-6 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Broccanello, Chiara
Chiodi, Claudia
Funk, Andrew
McGrath, J. Mitchell
Panella, Lee
Stevanato, Piergiorgio
Comparison of three PCR-based assays for SNP genotyping in plants
title Comparison of three PCR-based assays for SNP genotyping in plants
title_full Comparison of three PCR-based assays for SNP genotyping in plants
title_fullStr Comparison of three PCR-based assays for SNP genotyping in plants
title_full_unstemmed Comparison of three PCR-based assays for SNP genotyping in plants
title_short Comparison of three PCR-based assays for SNP genotyping in plants
title_sort comparison of three pcr-based assays for snp genotyping in plants
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872507/
https://www.ncbi.nlm.nih.gov/pubmed/29610576
http://dx.doi.org/10.1186/s13007-018-0295-6
work_keys_str_mv AT broccanellochiara comparisonofthreepcrbasedassaysforsnpgenotypinginplants
AT chiodiclaudia comparisonofthreepcrbasedassaysforsnpgenotypinginplants
AT funkandrew comparisonofthreepcrbasedassaysforsnpgenotypinginplants
AT mcgrathjmitchell comparisonofthreepcrbasedassaysforsnpgenotypinginplants
AT panellalee comparisonofthreepcrbasedassaysforsnpgenotypinginplants
AT stevanatopiergiorgio comparisonofthreepcrbasedassaysforsnpgenotypinginplants