Literature DB >> 19275155

Evaluating precision and accuracy when quantifying different endogenous control reference genes in maize using real-time PCR.

Tandace A Scholdberg1, Tim D Norden, Daishia D Nelson, G Ronald Jenkins.   

Abstract

The agricultural biotechnology industry routinely utilizes real-time quantitative PCR (RT-qPCR) for the detection of biotechnology-derived traits in plant material, particularly for meeting the requirements of legislative mandates that rely upon the trace detection of DNA. Quantification via real-time RT-qPCR in plant species involves the measurement of the copy number of a taxon-specific, endogenous control gene exposed to the same manipulations as the target gene prior to amplification. The International Organization for Standardization (ISO 21570:2005) specifies that the copy number of an endogenous reference gene be used for normalizing the concentration (expressed as a % w/w) of a trait-specific target gene when using RT-qPCR. For this purpose, the copy number of a constitutively expressed endogenous reference gene in the same sample is routinely monitored. Real-time qPCR was employed to evaluate the predictability and performance of commonly used endogenous control genes (starch synthase, SSIIb-2, SSIIb-3; alcohol dehydrogenase, ADH; high-mobility group, HMG; zein; and invertase, IVR) used to detect biotechnology-derived traits in maize. The data revealed relatively accurate and precise amplification efficiencies when isogenic maize was compared to certified reference standards, but highly variable results when 23 nonisogenic maize cultivars were compared to an IRMM Bt-11 reference standard. Identifying the most suitable endogenous control gene, one that amplifies consistently and predictably across different maize cultivars, and implementing this as an internationally recognized standard would contribute toward harmonized testing of biotechnology-derived traits in maize.

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Year:  2009        PMID: 19275155     DOI: 10.1021/jf803599t

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


  3 in total

1.  Comparison of predictive methods and biological validation for qPCR reference genes in sunflower leaf senescence transcript analysis.

Authors:  Paula Fernandez; Julio A Di Rienzo; Sebastián Moschen; Guillermo A A Dosio; Luis A N Aguirrezábal; H Esteban Hopp; Norma Paniego; Ruth A Heinz
Journal:  Plant Cell Rep       Date:  2010-11-13       Impact factor: 4.570

2.  DNA content equivalence in haploid and diploid maize leaves.

Authors:  D Santeramo; J Howell; Y Ji; W Yu; W Liu; T Kelliher
Journal:  Planta       Date:  2019-12-09       Impact factor: 4.116

3.  The use of 35S and Tnos expression elements in the measurement of genetically engineered plant materials.

Authors:  Marcia J Holden; Marci Levine; Tandace Scholdberg; Ross J Haynes; G Ronald Jenkins
Journal:  Anal Bioanal Chem       Date:  2009-10-25       Impact factor: 4.142

  3 in total

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