4.7 Article

Evaluation of Four Genes in Rice for Their Suitability As Endogenous Reference Standards in Quantitative PCR

Journal

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
Volume 58, Issue 22, Pages 11543-11547

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/jf102092c

Keywords

Real-time PCR; rice endogenous reference gene; GeNorm analysis; single nucleotide polymorphism

Funding

  1. National Key Basic Research Program [2007CB109201, 2007FY-230100]
  2. National Transgenic Plant Special Fund [2008ZX08012-002, 003, 005, 2008ZX08011-006, 2009ZX08012-002B]
  3. National Natural Science Foundation of China [30725022, 30700499]
  4. Shanghai Chenguang project [2008CG16]

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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 (PLO), 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 PLO 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 PLO 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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