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Detecting genetically modified Roundup Ready soybean ingredients in foodstuffs by nested and semi-nested PCR

Published online by Cambridge University Press:  12 February 2007

Huang Kun-Lun  and
Luo Yun-Bo
Huang Kun-Lun
Affiliation:
Food Science and Nutrition Engineering College, China Agricultural University, Beijing 100083, China
Luo Yun-Bo*
Affiliation:
Food Science and Nutrition Engineering College, China Agricultural University, Beijing 100083, China
*
*Corresponding author.E-mail: lyb@cau.edu.cn
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Abstract

DNA was extracted from kernels of genetically modified (GM) Roundup Ready soybean (Glycine max), made to a series of dilutions, and then used template for amplification by nested PCR and semi-nested PCR. The template comprising a 10−14 g/μl DNA solution could be amplified by both nested and semi-nested PCR. Various soybean foodstuffs and foods from a local supermarket were tested by nested and semi-nested PCR. The soybean housekeeping gene lectin could be amplified from 10 types of food (17 different brands), including soybean oil, sauce, lecithin, tofu, soybean milk and soy milk. The CaMV35S-CPT4 segment was amplified from eight types of food (14 brands), indicating that these foods were manufactured using soybean Roundup Ready ingredients. Therefore, nested and semi-nested PCR could serve as efficient methods in detecting GM soybean in foodstuffs and foods.

Keywords

genetically modified soybeanRoundup Readyfoodnested PCR and semi-nested PCRdetection
Type
Research Article
Information
Chinese Journal of Agricultural Biotechnology , Volume 1 , Issue 1 , April 2004 , pp. 31 - 36
Copyright
Copyright © China Agricultural University and Cambridge University Press 2004

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References

Atzori, C, Agostoni, F, Angeli, E et al. , (1998) Combined use of blood and oropharyngeal samples for noninvasive diagnosis of Pneumocystis carinii pneumonia using the polymerase chain reaction. European Journal of Clinical Microbiology & Infectious Diseases 17: 241–246.Google ScholarPubMed
Homan, W, van Gorkom, T, Kan, YY et al. , (1999) Characterization of Cryptosporidium parvumin in human and animal feces by single-tube nested polymerase chain reaction and restriction analysis. Parasitology Research 85: 707–712.CrossRefGoogle Scholar
Hurst, CD, Knight, A and Bruce, IJ (1999) PCR detection of genetically modified soya and maize in foodstuffs. Molecular Breeding 5: 579–586.CrossRefGoogle Scholar
Jankiewicz, A, Broll, H and Zagon, J (1999) The official method for the detection of genetically modified soybeans (German Food Act LMBG ß 35): a semi-quantitative study of sensitivity limits with glyphosate-tolerant soybeans (Roundup Ready) and insect-resistant Bt maize (Maximizer). European Food Research and Technology 209: 77–82.CrossRefGoogle Scholar
Ledwidge, SA, Mallard, BA, Gibson, JP et al. , (2001) Multi-primer target PCR for rapid identification of bovine DRB3 alleles. Animal Genetics 32: 219–221.CrossRefGoogle ScholarPubMed
Levesque, MJ La, Boissiere, S, Thomas, JC et al. , (1997) Rapid method for detecting Desulfitobacterium frappieri strain PCP-1 in soil by the polymerase chain reaction. Applied Microbiology and Biotechnology 47: 719–725.Google ScholarPubMed
Martin-Sanchez, J, Viseras, J, Adroher, FJ et al. , (1999) Nested polymerase chain reaction for detection of Theileria annulata and comparison with conventional diagnostic techniques: its use in epidemiology studies. Parasitology Research 85: 243–245.CrossRefGoogle ScholarPubMed
Navaneetham, D, Penn, AS, Howard, JF et al. , (1998) TCR-V beta usage in the thymus and blood of myasthenia gravis patients. Journal of Autoimmunity 11: 621–633.CrossRefGoogle Scholar
Pauli, U, Liniger, M and Zimmermann, A (1998) Detection of DNA in soybean oil. Zeitschrift fur Lebensmittel-Untersuchung und -Forschung A 207: 264–267.CrossRefGoogle Scholar
Straub, JA, Hertel, C and Hammes, WP (1999) Limits of a PCR-based detection method for genetically modified soybeans in wheat bread production. Zeitschrift fur Lebensmittel-Untersuchung und -Forschung A 208: 77–82.CrossRefGoogle Scholar
Turnau, K, Ryszka, P and Gianinazzi-Pearson, V et al. , (2001) Identification of arbuscular mycorrhizal fungi in soils and roots of plants colonizing zinc wastes in southern Poland. Mycorrhiza 10: 169–174.CrossRefGoogle Scholar
van Hoef, AMA, Kok, EJ, Bouw, E et al. , (1998) Development and application of a selective detection method for genetically modified soy and soy-derived products. Food Additives and Contaminants 15: 767–774.CrossRefGoogle Scholar
Wolf, C, Scherzinger, M, Wurz, A et al. , (2000) Detection of cauliflower mosaic virus by the polymerase chain reaction: testing of food components for false-positive 35S-promoter screening results. European Food Research and Technology 210: 367–372.CrossRefGoogle Scholar
Yang, J, Lao, K-X, Guo, Y-B et al. , (2000) Classification of genotyping hepatitis B virus with multiplex PCR. Clinical Journal of Hepatology 10: 55–57.Google Scholar
Zimmermann, A, Lüthy, J and Pauli, U (1998) Quantitative and qualitative evaluation of nine different extraction methods for nucleic acids on soya bean food samples. Zeitschrift fur Lebensmittel-Untersuchung und -Forschung A 207: 81–90.CrossRefGoogle Scholar