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Fast and accurate quantification of insertion-site specific transgene levels from raw seed samples using solid-state nanopore technology
Many modern crop varieties contain patented biotechnology traits, and an increasing number of these crops have multiple (stacked) traits. Fast and accurate determination of transgene levels is advantageous for a variety of use cases across the food, feed and fuel value chain. With the growing number...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934305/ https://www.ncbi.nlm.nih.gov/pubmed/31881056 http://dx.doi.org/10.1371/journal.pone.0226719 |
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author | Pearson, Michael D. Nguyen, Leslee Zhao, Yanan McKenna, William L. Morin, Trevor J. Dunbar, William B. |
author_facet | Pearson, Michael D. Nguyen, Leslee Zhao, Yanan McKenna, William L. Morin, Trevor J. Dunbar, William B. |
author_sort | Pearson, Michael D. |
collection | PubMed |
description | Many modern crop varieties contain patented biotechnology traits, and an increasing number of these crops have multiple (stacked) traits. Fast and accurate determination of transgene levels is advantageous for a variety of use cases across the food, feed and fuel value chain. With the growing number of new transgenic crops, any technology used to quantify them should have robust assays that are simple to design and optimize, thereby facilitating the addition of new traits to an assay. Here we describe a PCR-based method that is simple to design, starts from whole seeds, and can be run to end-point in less than 5 minutes. Subsequent relative quantification (trait vs. non-trait) using capillary electrophoresis performed in 5% increments across the 0–100% range showed a mean absolute error of 1.9% (s.d. = 1.1%). We also show that the PCR assay can be coupled to non-optical solid-state nanopore sensors to give seed-to-trait quantification results with a mean absolute error of 2.3% (s.d. = 1.6%). In concert, the fast PCR and nanopore sensing stages demonstrated here can be fully integrated to produce seed-to-trait quantification results in less than 10 minutes, with high accuracy across the full dynamic range. |
format | Online Article Text |
id | pubmed-6934305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-69343052020-01-07 Fast and accurate quantification of insertion-site specific transgene levels from raw seed samples using solid-state nanopore technology Pearson, Michael D. Nguyen, Leslee Zhao, Yanan McKenna, William L. Morin, Trevor J. Dunbar, William B. PLoS One Research Article Many modern crop varieties contain patented biotechnology traits, and an increasing number of these crops have multiple (stacked) traits. Fast and accurate determination of transgene levels is advantageous for a variety of use cases across the food, feed and fuel value chain. With the growing number of new transgenic crops, any technology used to quantify them should have robust assays that are simple to design and optimize, thereby facilitating the addition of new traits to an assay. Here we describe a PCR-based method that is simple to design, starts from whole seeds, and can be run to end-point in less than 5 minutes. Subsequent relative quantification (trait vs. non-trait) using capillary electrophoresis performed in 5% increments across the 0–100% range showed a mean absolute error of 1.9% (s.d. = 1.1%). We also show that the PCR assay can be coupled to non-optical solid-state nanopore sensors to give seed-to-trait quantification results with a mean absolute error of 2.3% (s.d. = 1.6%). In concert, the fast PCR and nanopore sensing stages demonstrated here can be fully integrated to produce seed-to-trait quantification results in less than 10 minutes, with high accuracy across the full dynamic range. Public Library of Science 2019-12-27 /pmc/articles/PMC6934305/ /pubmed/31881056 http://dx.doi.org/10.1371/journal.pone.0226719 Text en © 2019 Pearson 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Pearson, Michael D. Nguyen, Leslee Zhao, Yanan McKenna, William L. Morin, Trevor J. Dunbar, William B. Fast and accurate quantification of insertion-site specific transgene levels from raw seed samples using solid-state nanopore technology |
title | Fast and accurate quantification of insertion-site specific transgene levels from raw seed samples using solid-state nanopore technology |
title_full | Fast and accurate quantification of insertion-site specific transgene levels from raw seed samples using solid-state nanopore technology |
title_fullStr | Fast and accurate quantification of insertion-site specific transgene levels from raw seed samples using solid-state nanopore technology |
title_full_unstemmed | Fast and accurate quantification of insertion-site specific transgene levels from raw seed samples using solid-state nanopore technology |
title_short | Fast and accurate quantification of insertion-site specific transgene levels from raw seed samples using solid-state nanopore technology |
title_sort | fast and accurate quantification of insertion-site specific transgene levels from raw seed samples using solid-state nanopore technology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6934305/ https://www.ncbi.nlm.nih.gov/pubmed/31881056 http://dx.doi.org/10.1371/journal.pone.0226719 |
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