Reference Genes and Expression Analysis of Seed Desaturases Genes in Soybean Mutant Accessions

Silva, Luiz Cláudio Costa; Mayrink, Danyelle Barbosa; Bueno, Regiane Cristina Oliveira de Freitas; Piovesan, Newton Deniz; Ribeiro, Cléberson; Dal-Bianco, Maximiller

doi:10.1007/s10528-021-10135-x

Cited by 3 publications

(1 citation statement)

References 58 publications

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“…Hence, the identification of the appropriate endogenous reference gene (ERG) is the first and most crucial step in the quantification method for each crop. At present, endogenous genes have been developed in many crops, of which maize, soybean, and rice are richest in endogenous genes [ 3 , 7 , 8 ]. However, the lack of more comprehensive comparative studies on transgenic canola endogenous genes applicable to the digital PCR (dPCR) method renders selection and application for safety supervision difficult [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Establishment and Validation of Reference Genes of Brassica napus L. for Digital PCR Detection of Genetically Modified Canola

Long

Xing

et al. 2022

Foods

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As an effective tool for genetically modified organism (GMO) quantification in complex matrices, digital PCR (dPCR) has been widely used for the quantification of genetically modified (GM) canola events; however, little is known about the quantification of GM canola events using endogenous reference gene (ERG) characteristics by dPCR. To calculate and quantify the content of GM canola using endogenous reference gene (ERG) characteristics, the suitability of several ERGs of canola, such as cruciferin A (CruA), acetyl-CoA carboxylase (BnAcc), phosphoenolpyruvate carboxylase (PEP), cruciferin storage (BnC1), oleoyl hydrolase (Fat(A)), and high-mobility-group protein I/Y (HMG-I/Y), was investigated by droplet dPCR. BnAcc and BnC1 were more specific and stable in copy number in the genome of Brassica napus L. than the other genes. By performing intra-laboratory validation of the suitability of ERG characteristics for the quantification of GM canola events, the ddPCR methods for BnAcc and BnC1 were comprehensively demonstrated in dPCR assays. The methods could provide technical support for GM labeling regulations.

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Section: Introductionmentioning

confidence: 99%

Establishment and Validation of Reference Genes of Brassica napus L. for Digital PCR Detection of Genetically Modified Canola

Long

Xing

et al. 2022

Foods

View full text Add to dashboard Cite

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Promising role of selenium in mitigating the negative effects of iron deficiency in soybean leaves

Lapaz

Yoshida

Vieira

et al. 2023

Environmental and Experimental Botany

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Bioengineering of Soybean Oil and Its Impact on Agronomic Traits

Huan

Taylor

Zhang

2023

IJMS

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Soybean is a major oil crop and is also a dominant source of nutritional protein. The 20% seed oil content (SOC) of soybean is much lower than that in most oil crops and the fatty acid composition of its native oil cannot meet the specifications for some applications in the food and industrial sectors. Considerable effort has been expended on soybean bioengineering to tailor fatty acid profiles and improve SOC. Although significant advancements have been made, such as the creation of high-oleic acid soybean oil and high-SOC soybean, those genetic modifications have some negative impacts on soybean production, for instance, impaired germination or low protein content. In this review, we focus on recent advances in the bioengineering of soybean oil and its effects on agronomic traits.

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Reference Genes and Expression Analysis of Seed Desaturases Genes in Soybean Mutant Accessions

Cited by 3 publications

References 58 publications

Establishment and Validation of Reference Genes of Brassica napus L. for Digital PCR Detection of Genetically Modified Canola

Establishment and Validation of Reference Genes of Brassica napus L. for Digital PCR Detection of Genetically Modified Canola

Promising role of selenium in mitigating the negative effects of iron deficiency in soybean leaves

Bioengineering of Soybean Oil and Its Impact on Agronomic Traits

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