Literature DB >> 16131102

Real-time polymerase chain reaction based assays for quantitative detection of barley, rice, sunflower, and wheat.

Marta Hernández1, Teresa Esteve, Maria Pla.   

Abstract

Quality assurance is a major issue in the food industry. The authenticity of food ingredients and their traceability are required by consumers and authorities. Plant species such as barley (Hordeum vulgare), rice (Oryza sativa), sunflower (Helianthus annuus), and wheat (Triticum aestivum) are very common among the ingredients of many processed food products; therefore the development of specific assays for their specific detection and quantification are needed. Furthermore, the production and trade of genetically modified lines from an increasing number of plant species brings about the need for control within research, environmental risk assessment, labeling/legal, and consumers' information purposes. We report here the development of four independent real-time polymerase chain reaction (PCR) assays suitable for identification and quantification of four plant species (barley, rice, sunflower, and wheat). These assays target gamma-hordein, gos9, helianthinin, and acetyl-CoA carboxylase sequences, respectively, and were able to specifically detect and quantify DNA from the target plant species. In addition, the simultaneous amplification of RALyase allowed bread from durum wheat to be distinguished. Limits of detection were 1 genome copy for barley, sunflower, and wheat and 3.3 copies for rice real-time PCR systems, whereas limits of quantification were 10 genome copies for barley, sunflower, or wheat and approximately 100 haploid genomes for rice real-time PCR systems. Real-time PCR cycling conditions of the four assays were stated as standard to facilitate their use in routine laboratory analyses. The assays were finally adapted to conventional PCR for detection purposes, with the exception of the wheat assay, which detects rye simultaneously with similar sensitivity in an agarose gel.

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Year:  2005        PMID: 16131102     DOI: 10.1021/jf050797j

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


  11 in total

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2.  Proteomic analysis of MON810 and comparable non-GM maize varieties grown in agricultural fields.

Authors:  Anna Coll; Anna Nadal; Michel Rossignol; Pere Puigdomènech; Maria Pla
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3.  Lack of repeatable differential expression patterns between MON810 and comparable commercial varieties of maize.

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Review 4.  Relative quantification in seed GMO analysis: state of art and bottlenecks.

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Review 5.  Review of methods for the detection and quantification of adulteration of rice: Basmati as a case study.

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7.  Gene expression profiles of MON810 and comparable non-GM maize varieties cultured in the field are more similar than are those of conventional lines.

Authors:  Anna Coll; Anna Nadal; Rosa Collado; Gemma Capellades; Joaquima Messeguer; Enric Melé; Montserrat Palaudelmàs; Maria Pla
Journal:  Transgenic Res       Date:  2009-04-26       Impact factor: 2.788

8.  Identification of the Pol Gene as a Species-Specific Diagnostic Marker for Qualitative and Quantitative PCR Detection of Tricholoma matsutake.

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Journal:  Molecules       Date:  2019-01-28       Impact factor: 4.411

9.  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

10.  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

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