Literature DB >> 23052591

Development of real-time PCR method for the detection and the quantification of a new endogenous reference gene in sugar beet "Beta vulgaris L.": GMO application.

Maher Chaouachi1, Akram Alaya, Imen Ben Haj Ali, Ahmed Ben Hafsa, Nesrine Nabi, Aurélie Bérard, Marcel Romaniuk, Fethia Skhiri, Khaled Saïd.   

Abstract

KEY MESSAGE : Here, we describe a new developed quantitative real-time PCR method for the detection and quantification of a new specific endogenous reference gene used in GMO analysis. The key requirement of this study was the identification of a new reference gene used for the differentiation of the four genomic sections of the sugar beet (Beta vulgaris L.) (Beta, Corrollinae, Nanae and Procumbentes) suitable for quantification of genetically modified sugar beet. A specific qualitative polymerase chain reaction (PCR) assay was designed to detect the sugar beet amplifying a region of the adenylate transporter (ant) gene only from the species of the genomic section I of the genus Beta (cultivated and wild relatives) and showing negative PCR results for 7 species of the 3 other sections, 8 related species and 20 non-sugar beet plants. The sensitivity of the assay was 15 haploid genome copies (HGC). A quantitative real-time polymerase chain reaction (QRT-PCR) assay was also performed, having high linearity (R (2) > 0.994) over sugar beet standard concentrations ranging from 20,000 to 10 HGC of the sugar beet DNA per PCR. The QRT-PCR assay described in this study was specific and more sensitive for sugar beet quantification compared to the validated test previously reported in the European Reference Laboratory. This assay is suitable for GMO quantification in routine analysis from a wide variety of matrices.

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Year:  2012        PMID: 23052591     DOI: 10.1007/s00299-012-1346-5

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


  16 in total

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Journal:  J Agric Food Chem       Date:  2010-10-20       Impact factor: 5.279

4.  Evaluation of modified PCR quantitation of genetically modified maize and soybean using reference molecules: interlaboratory study.

Authors:  Takashi Kodama; Hideo Kuribara; Yasutaka Minegishi; Satoshi Futo; Masatoshi Watai; Chihiro Sawada; Takahiro Watanabe; Hiroshi Akiyama; Tamio Maitani; Reiko Teshima; Satoshi Furui; Akihiro Hino; Kazumi Kitta
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5.  Universal primers for amplification of three non-coding regions of chloroplast DNA.

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Review 7.  Detecting un-authorized genetically modified organisms (GMOs) and derived materials.

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10.  Development and validation of real-time PCR screening methods for detection of cry1A.105 and cry2Ab2 genes in genetically modified organisms.

Authors:  Andréia Z Dinon; Theo W Prins; Jeroen P van Dijk; Ana Carolina M Arisi; Ingrid M J Scholtens; Esther J Kok
Journal:  Anal Bioanal Chem       Date:  2011-03-29       Impact factor: 4.142

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  5 in total

1.  A specific endogenous reference for genetically modified common bean (Phaseolus vulgaris L.) DNA quantification by real-time PCR targeting lectin gene.

Authors:  Gustavo L Venturelli; Fábio C A Brod; Gabriela B Rossi; Naíra F Zimmermann; Jaison P Oliveira; Josias C Faria; Ana C M Arisi
Journal:  Mol Biotechnol       Date:  2014-11       Impact factor: 2.695

2.  Defining reference genes for qPCR normalization to study biotic and abiotic stress responses in Vigna mungo.

Authors:  Anirban Kundu; Anju Patel; Amita Pal
Journal:  Plant Cell Rep       Date:  2013-07-19       Impact factor: 4.570

3.  Detection of Verticillium species in Swedish soils using real-time PCR.

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Journal:  Arch Microbiol       Date:  2017-07-24       Impact factor: 2.552

4.  A novel emulsion PCR method coupled with fluorescence spectrophotometry for simultaneous qualitative, quantitative and high-throughput detection of multiple DNA targets.

Authors:  Yanan Du; Xiao Zhao; Binan Zhao; Yan Xu; Wei Shi; Fangfang Ren; Yangyang Wu; Ruili Hu; Xiaorui Fan; Qi Zhang; Xiaoxia Zhang; Wanjing Zhang; Wenjing Wu; Bin Shi; Huanzhen Zhao; Kai Zhao
Journal:  Sci Rep       Date:  2019-01-17       Impact factor: 4.379

5.  Development of a novel reference plasmid for accurate quantification of genetically modified Kefeng6 rice DNA in food and feed samples.

Authors:  Liang Li; Xiujie Zhang; Yusong Wan; Wujun Jin
Journal:  Biomed Res Int       Date:  2013-11-13       Impact factor: 3.411

  5 in total

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