scholarly journals Development and Testing of an Individual Kernel Detection System for Genetically Modified Soybean Events in Non-identity-preserved Soybean Samples

2020 ◽  
Vol 43 (8) ◽  
pp. 1259-1266
Author(s):  
Keisuke Soga ◽  
Shinya Kimata ◽  
Jumpei Narushima ◽  
Sakiko Sato ◽  
Emi Sato ◽  
...  
2011 ◽  
Vol 94 (5) ◽  
pp. 1540-1547
Author(s):  
Hiroshi Akiyama ◽  
Kozue Sakata ◽  
Daiki Makiyma ◽  
Kosuke Nakamura ◽  
Reiko Teshima ◽  
...  

Abstract In many countries, the labeling of grains, feed, and foodstuff is mandatory if the genetically modified (GM) organism content exceeds a certain level of approved GM varieties. We previously developed an individual kernel detection system consisting of grinding individual kernels, DNA extraction from the individually ground kernels, GM detection using multiplex real-time PCR, and GM event detection using multiplex qualitative PCR to analyze the precise commingling level and varieties of GM maize in real sample grains. We performed the interlaboratory study of the DNA extraction with multiple ground samples, multiplex real-time PCR detection, and multiplex qualitative PCR detection to evaluate its applicability, practicality, and ruggedness for the individual kernel detection system of GM maize. DNA extraction with multiple ground samples, multiplex real-time PCR, and multiplex qualitative PCR were evaluated by five laboratories in Japan, and all results from these laboratories were consistent with the expected results in terms of the commingling level and event analysis. Thus, the DNA extraction with multiple ground samples, multiplex real-time PCR, and multiplex qualitative PCR for the individual kernel detection system is applicable and practicable in a laboratory to regulate the commingling level of GM maize grain for GM samples, including stacked GM maize.


2007 ◽  
Vol 42 (10) ◽  
pp. 1249-1255 ◽  
Author(s):  
Cibele dos Santos Ferrari ◽  
Luciana Lehmkuhl Valente ◽  
Fábio Cristiano Angonesi Brod ◽  
Caroline Tagliari ◽  
Ernani Sebastião Sant'Anna ◽  
...  

Food Control ◽  
2016 ◽  
Vol 67 ◽  
pp. 63-67 ◽  
Author(s):  
Jae-Hwan Kim ◽  
Ji-Yeon Song ◽  
Yewon Hong ◽  
Hae-Yeong Kim

2011 ◽  
Vol 21 (4) ◽  
pp. 757-771 ◽  
Author(s):  
Nik Kovinich ◽  
Ammar Saleem ◽  
Tara L. Rintoul ◽  
Daniel C. W. Brown ◽  
John T. Arnason ◽  
...  

2005 ◽  
Vol 77 (22) ◽  
pp. 7421-7428 ◽  
Author(s):  
Hiroshi Akiyama ◽  
Takahiro Watanabe ◽  
Kaoru Wakabayashi ◽  
Shinsuke Nakade ◽  
Shuji Yasui ◽  
...  

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