scholarly journals Erratum: CORRIGENDUM: Assessment of Genetically Modified Soybean in Relation to Natural Variation in the Soybean Seed Metabolome

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Joseph D. Clarke ◽  
Danny C. Alexander ◽  
Dennis P. Ward ◽  
John A. Ryals ◽  
Matthew W. Mitchell ◽  
...  
Keyword(s):  
Natural Variation ◽  
Genetically Modified ◽  
Soybean Seed ◽  
Genetically Modified Soybean

scholarly journals Assessment of Genetically Modified Soybean in Relation to Natural Variation in the Soybean Seed Metabolome

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Joseph D. Clarke ◽  
Danny C. Alexander ◽  
Dennis P. Ward ◽  
John A. Ryals ◽  
Matthew W. Mitchell ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Environmental Effects ◽  
Natural Variation ◽  
Genetically Modified ◽  
Soybean Seed ◽  
Substantial Equivalence ◽  
Targeted Metabolomics ◽  
Genetically Modified Soybean ◽  
Gm Crop ◽  
Gm Traits

Abstract Genetically modified (GM) crops currently constitute a significant and growing part of agriculture. An important aspect of GM crop adoption is to demonstrate safety and equivalence with respect to conventional crops. Untargeted metabolomics has the ability to profile diverse classes of metabolites and thus could be an adjunct for GM crop substantial equivalence assessment. To account for environmental effects and introgression of GM traits into diverse genetic backgrounds, we propose that the assessment for GM crop metabolic composition should be understood within the context of the natural variation for the crop. Using a non-targeted metabolomics platform, we profiled 169 metabolites and established their dynamic ranges from the seeds of 49 conventional soybean lines representing the current commercial genetic diversity. We further demonstrated that the metabolome of a GM line had no significant deviation from natural variation within the soybean metabolome, with the exception of changes in the targeted engineered pathway.

scholarly journals Social Acceptance for Commercialization of Genetically Modified Food Animals

2021 ◽  
Author(s):  
Ziyao Fan ◽  
Yulian Mu ◽  
Tad Sonstegard ◽  
Xiaomei Zhai ◽  
Kui Li ◽  
...  
Keyword(s):  
Natural Variation ◽  
Social Acceptance ◽  
Genetically Modified ◽  
Genetically Modified Food ◽  
The Public ◽  
Global Challenge ◽  
Social License ◽  
Food Animals ◽  
Natural Mutation ◽  
The U.S

Abstract Genetically modified food animals (GMFAs) are needed to address early the cumulative effects of livestock production on the environment and to accommodate future food demands. In 2020 China and the U.S., the world's two largest economies, embarked on regulatory reforms to boost the commercialization of such animals. However, gaining social acceptance of GMFAs for commercialization remains a global challenge. We propose a framework that focuses on social license for commercialization of GMFAs by defining four classes of improvement using precision genetics: 1) animals equivalent to natural variation to obtain the improved effect of cross-breeding (ENV); 2) animals with an inactivated gene that could occur via natural mutation (ENC-); 3) animals harboring a natural genetic sequence isolated from another species (ENC+); and 4) animals with synthetic sequences encoding novel genes (BNE). Our approach can guide regulators and the public to support orderly commercialization of genetically modified food animals.

Evaluation of polymerase chain reaction and DNA isolation protocols for detection of genetically modified soybean

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 ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Dna Isolation ◽  
Genetically Modified ◽  
Chain Reaction ◽  
Genetically Modified Soybean ◽  
Polymerase Chain

Monitoring of genetically modified soybean events in sausage products in South Korea

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

Coloring genetically modified soybean grains with anthocyanins by suppression of the proanthocyanidin genes ANR1 and ANR2

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

scholarly journals Identification of geneticaly modified soybean seeds resistant to glyphosate

2004 ◽  
Vol 61 (3) ◽  
pp. 336-341 ◽  
Author(s):  
Maria Ângela André Tillmann ◽  
Shirlie West
Keyword(s):  
Genetically Modified ◽  
Soybean Seeds ◽  
Germination Test ◽  
Hypocotyl Length ◽  
Genetically Modified Soybean ◽  
Paper Towel ◽  
Soybean Genotypes ◽  
Physiological Quality ◽  
Resistance Trait ◽  
Moist Paper Towel

Advances in genetic engineering permit the modification of plants to be tolerant to certain herbicides that are usually not selective. For practical and commercial purposes, it is important to be able to detect the presence or absence of these traits in genotypes. The objective of this research was to develop a procedure for identifying genetically modified soybean (Glycine max L. Merr.) with resistance to the herbicide glyphosate. Two studies were conducted based on germination test. In the first study, soybean seeds were pre-imbibed in paper towel with the herbicide solutions, then transferred to moist paper towel for the germination test. In the second study, seeds were placed directly in herbicide solutions in plastic cups and tested for germination using the paper towel method. Eight soybean genotypes were compared: four Roundup Ready, that contained the gene resistant to the herbicide (G99-G725, Prichard RR, G99-G6682, and H7242 RR) and four non-transgenic parental cultivars (Boggs, Haskell, Benning, and Prichard). In the first study, the seeds were imbibed for 16 hours at 25°C in herbicide concentrations between 0.0 and 1.5% of the glyphosate active ingredient. In the second, seeds were subjected to concentrations between 0.0 and 0.48%, for one hour, at 30°C. The evaluation parameters were: germination, hypocotyl length, root length and total length of the seedlings. Both methods are efficient in identifying glyphosate-resistant soybean genotypes. It is possible to identify the genetically modified soybean genotypes after three days, by imbibing the seed in 0.12% herbicide solution, and after six days if the substrate is pre-imbibed in a 0.6% herbicide solution. The resistance trait was identified in all cultivars, independent of the initial physiological quality of the seed.

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