Development of quantitative competitive PCR for determination of copy number and expression level of the synthetic glyphosate oxidoreductase gene in transgenic canola plants
Background: For successful in vitro plant regeneration, plant cell lines with multiple transgene integration and low transgene expression levels need to be ruled out. Although real-time polymerase chain reaction (RT-PCR) is a rapid way to accomplish this, it is also expensive and typically limits th...
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Pontificia Universidad Católica de Valparaíso
2012
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oai:scielo:S0717-345820120004000022012-08-22Development of quantitative competitive PCR for determination of copy number and expression level of the synthetic glyphosate oxidoreductase gene in transgenic canola plantsHadi,FaranakSalmanian,Ali HatefGhazizadeh,ElhamAmani,JafarNoghabi,Kambiz AkbariMousavi,Amir Brassica napus L. competitive quantitative PCR transcript level transgene copy number Background: For successful in vitro plant regeneration, plant cell lines with multiple transgene integration and low transgene expression levels need to be ruled out. Although real-time polymerase chain reaction (RT-PCR) is a rapid way to accomplish this, it is also expensive and typically limits the size of the target sequence. Quantitative competitive PCR (QC-PCR) is proven to be a safe and accurate method for determination of both copy number and quantification of transcript levels of synthetic transgenes in transformed plants. Results: The glyphosate oxidoreductase genewas chemically synthesized and used to transform Brassica napus L. via Agrobactrium-mediated transformation. A construct containing the mutated form of a synthetic glyphosate oxidoreductase (gox) gene (internal standard) was prepared. Gene copy number was estimated in nine independent transgenic lines using QC-PCR as well as the standard method of Southern blot analysis. By quantitative RT-PCR, transcript levels were also determined in these lines. High (> 3), medium to high (2.2-3), medium to low (1-2.2), and low (< 1) levels of transcript were detected. Conclusions: No direct relationship was found between copy number and transgene expression levels. QC-PCR method could be implemented to screen putative transgenic plants and quickly select single T-DNA inserts. QC-PCR methods and the prepared competitor construct may be useful for future quantification of commercial transgenic food and feed.info:eu-repo/semantics/openAccessPontificia Universidad Católica de ValparaísoElectronic Journal of Biotechnology v.15 n.4 20122012-07-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582012000400002en |
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Brassica napus L. competitive quantitative PCR transcript level transgene copy number |
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Brassica napus L. competitive quantitative PCR transcript level transgene copy number Hadi,Faranak Salmanian,Ali Hatef Ghazizadeh,Elham Amani,Jafar Noghabi,Kambiz Akbari Mousavi,Amir Development of quantitative competitive PCR for determination of copy number and expression level of the synthetic glyphosate oxidoreductase gene in transgenic canola plants |
description |
Background: For successful in vitro plant regeneration, plant cell lines with multiple transgene integration and low transgene expression levels need to be ruled out. Although real-time polymerase chain reaction (RT-PCR) is a rapid way to accomplish this, it is also expensive and typically limits the size of the target sequence. Quantitative competitive PCR (QC-PCR) is proven to be a safe and accurate method for determination of both copy number and quantification of transcript levels of synthetic transgenes in transformed plants. Results: The glyphosate oxidoreductase genewas chemically synthesized and used to transform Brassica napus L. via Agrobactrium-mediated transformation. A construct containing the mutated form of a synthetic glyphosate oxidoreductase (gox) gene (internal standard) was prepared. Gene copy number was estimated in nine independent transgenic lines using QC-PCR as well as the standard method of Southern blot analysis. By quantitative RT-PCR, transcript levels were also determined in these lines. High (> 3), medium to high (2.2-3), medium to low (1-2.2), and low (< 1) levels of transcript were detected. Conclusions: No direct relationship was found between copy number and transgene expression levels. QC-PCR method could be implemented to screen putative transgenic plants and quickly select single T-DNA inserts. QC-PCR methods and the prepared competitor construct may be useful for future quantification of commercial transgenic food and feed. |
author |
Hadi,Faranak Salmanian,Ali Hatef Ghazizadeh,Elham Amani,Jafar Noghabi,Kambiz Akbari Mousavi,Amir |
author_facet |
Hadi,Faranak Salmanian,Ali Hatef Ghazizadeh,Elham Amani,Jafar Noghabi,Kambiz Akbari Mousavi,Amir |
author_sort |
Hadi,Faranak |
title |
Development of quantitative competitive PCR for determination of copy number and expression level of the synthetic glyphosate oxidoreductase gene in transgenic canola plants |
title_short |
Development of quantitative competitive PCR for determination of copy number and expression level of the synthetic glyphosate oxidoreductase gene in transgenic canola plants |
title_full |
Development of quantitative competitive PCR for determination of copy number and expression level of the synthetic glyphosate oxidoreductase gene in transgenic canola plants |
title_fullStr |
Development of quantitative competitive PCR for determination of copy number and expression level of the synthetic glyphosate oxidoreductase gene in transgenic canola plants |
title_full_unstemmed |
Development of quantitative competitive PCR for determination of copy number and expression level of the synthetic glyphosate oxidoreductase gene in transgenic canola plants |
title_sort |
development of quantitative competitive pcr for determination of copy number and expression level of the synthetic glyphosate oxidoreductase gene in transgenic canola plants |
publisher |
Pontificia Universidad Católica de Valparaíso |
publishDate |
2012 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582012000400002 |
work_keys_str_mv |
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