Literature DB >> 20961039

Evaluation of four genes in rice for their suitability as endogenous reference standards in quantitative PCR.

Chong Wang1, Lingxi Jiang, Jun Rao, Yinan Liu, Litao Yang, Dabing Zhang.   

Abstract

The genetically modified (GM) food/feed quantification depends on the reliable detection systems of endogenous reference genes. Currently, four endogenous reference genes including sucrose phosphate synthase (SPS), GOS9, phospholipase D (PLD), and ppi phosphofructokinase (ppi-PPF) of rice have been used in GM rice detection. To compare the applicability of these four rice reference genes in quantitative PCR systems, we analyzed the target nucleotide sequence variation in 58 conventional rice varieties from various geographic and phylogenic origins, also their quantification performances were evaluated using quantitative real-time PCR and GeNorm analysis via a series of statistical calculation to get a "M value" which is negative correlation with the stability of genes. The sequencing analysis results showed that the reported GOS9 and PLD taqman probe regions had detectable single nucleotide polymorphisms (SNPs) among the tested rice cultivars, while no SNPs were observed for SPS and ppi-PPF amplicons. Also, poor quantitative performance was detectable in these cultivars with SNPs using GOS9 and PLD quantitative PCR systems. Even though the PCR efficiency of ppi-PPF system was slightly lower, the SPS and ppi-PPF quantitative PCR systems were shown to be applicable for rice endogenous reference assay with less variation among the C(t) values, good reproducibility in quantitative assays, and the low M values by the comprehensive quantitative PCR comparison and GeNorm analysis.

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Year:  2010        PMID: 20961039     DOI: 10.1021/jf102092c

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  6 in total

1.  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.

Authors:  Maher Chaouachi; Akram Alaya; Imen Ben Haj Ali; Ahmed Ben Hafsa; Nesrine Nabi; Aurélie Bérard; Marcel Romaniuk; Fethia Skhiri; Khaled Saïd
Journal:  Plant Cell Rep       Date:  2012-09-28       Impact factor: 4.570

Review 2.  Relative quantification in seed GMO analysis: state of art and bottlenecks.

Authors:  Maher Chaouachi; Aurélie Bérard; Khaled Saïd
Journal:  Transgenic Res       Date:  2013-02-12       Impact factor: 2.788

3.  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

4.  High-Throughput and Accurate Determination of Transgene Copy Number and Zygosity in Transgenic Maize: From DNA Extraction to Data Analysis.

Authors:  Fang Liu; Jinkui Cheng; Xuhua Liu; Xi-Qing Wang
Journal:  Int J Mol Sci       Date:  2021-11-19       Impact factor: 5.923

5.  Identification of matB used as an endogenous reference gene for the qualitative and real-time quantitative polymerase chain reaction detection of Lentinus edodes.

Authors:  Ling Li; Yuanmiao Wei; Yao Liu; Shuna Xiang; Hanyue Zhang; Ying Shang
Journal:  Food Sci Nutr       Date:  2022-04-01       Impact factor: 3.553

6.  Evaluation of four endogenous reference genes and their real-time PCR assays for common wheat quantification in GMOs detection.

Authors:  Huali Huang; Fang Cheng; Ruoan Wang; Dabing Zhang; Litao Yang
Journal:  PLoS One       Date:  2013-09-30       Impact factor: 3.240

  6 in total

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