Background World agricultural production of genetically modified (GM) products, in particular, the combination of different traits/genes in the same plant has been a trend over the last decade. There have been concerns raised over stacking multiple herbicide and insect-resistant transgenes that could result in fitness costs depending on the type and strength of selection pressures exerted by the environment. Here, we report the results of transcriptomic analysis comparing the effect of glyphosate-based herbicide (GBH) in the single-transgene versus stacked, herbicide-resistant soybean varieties on various biological processes, metabolic pathways, and key shikimic enzymes. Results Gene expression data showed that defense metabolism and redox homeostasis were equally modulated in single-transgene and stacked-variety samples. Carbon accumulation and energy metabolisms were distinct between the varieties and photosynthesis metabolism was found negatively affected in the single-transgene variety only. In the stacked variety, the shikimate pathway was modulated by the accumulation of transcripts from phenylalanine gene and other cascade genes. As expected, the expression of native EPSPS was upregulated in both varieties when herbicide was applied. On the other hand, transgenic EPSPS expression was down-regulated in both GM varieties upon herbicide application which cannot be explained. Conclusion Glyphosate-based herbicides toxicity suggests its effects on carbon central metabolism and flux, redox metabolism, photosynthesis, and to hormone and defense response in plants. The observed unintended effects in GM herbicide-tolerant varieties unravel the deleterious effects previously observed on GM-tolerant varieties growth and production. The impact of GBH on shikimate and cascade pathways was observed in terms of both native and transgenic insensitive EPSPS modulation, alteration of jasmonic acid and lignin metabolism in both single-transgene and stacked variety. The energy metabolism and carbon flux were differently affected in these varieties. Oxidative stress, more specifically glutathione metabolism, induced by GBH, was also observed in this study. The stacked variety showed a more pronounced stress response (activation of specific stress defense proteins, Rboh, WRKY) and secondary compounds (β-glucosidase, isoflavone 7-O-methyltransferase). Omics profiling techniques, such as transcriptomics, can be considered tools to support risk assessment in detecting unintended effects due to the GBH application.

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While some genetically modified (GM) plants have been targeted to confer tolerance to abiotic stressors, transgenes are impacted by abiotic stressors, causing adverse effects on plant physiology and yield. However, routine safety analyses do not assess the response of GM plants under different environmental stress conditions. In the context of climate change, the combination of abiotic stressors is a reality in agroecosystems. Therefore, the aim of this study was to analyze the metabolic cost by assessing the proteomic profiles of GM soybean varieties under glyphosate spraying and water deficit conditions compared to their non-transgenic conventional counterparts. We found evidence of cumulative adverse effects that resulted in the reduction of enzymes involved in carbohydrate metabolism, along with the expression of amino acids and nitrogen metabolic enzymes. Ribosomal metabolism was significantly enriched, particularly the protein families associated with ribosomal complexes L5 and L18. The interaction network map showed that the affected module representing the ribosome pathway interacts strongly with other important proteins, such as the chloro-plastic gamma ATP synthase subunit. Combined, these findings provide clear evidence for increasing the metabolic costs of GM soybean plants in response to the accumulation of stress factors. First, alterations in the ribosome pathway indicate that the GM plant itself carries a metabolic burden associated with the biosynthesis of proteins as effects of genetic transformation. GM plants also showed an imbalance in energy demand and production under controlled conditions, which was increased under drought conditions. Identifying the consequences of altered metabolism related to the interaction between plant transgene stress responses allows us to understand the possible effects on the ecology and evolution of plants in the medium and long term and the potential interactions with other organisms when these organisms are released in the environment.

Background: World agricultural production of genetically modified (GM) products, in particular, the combination of different traits/genes in the same plant has been a trend over the last decade. There has been concerns raised over stacking multiple herbicide and insect-resistant transgenes that could result in fitness costs depending on the type and strength of selection pressures exerted by the environment. Here, we report the results of transcriptomic analysis comparing the effect of glyphosate-based herbicide (GBH) in the single-transgene versus stacked, herbicide resistant soybeans varieties on various biological processes, metabolic pathways, and main shikimic enzymes.Results: Gene expression data were grouped according to the 'herbicide treatment factor'. Defense metabolism and redox homeostasis were equally modulated in single-transgene and stacked variety samples. Carbon accumulation and energy metabolisms were distinct between the varieties and photosynthesis metabolism was found negatively affected in the single-transgene variety only. In the stacked variety, the shikimate pathway was modulated by the accumulation of transcripts from phenylalanine gene and other cascade genes. As expected, the RT-PCR results confirmed that the expression of native EPSPS was upregulated in both varieties when herbicide was applied. On the other hand, transgenic EPSPS expression was down regulated in both GM varieties upon herbicide application which cannot be explained. Conclusion: Glyphosate-based herbicides toxicity suggests its effects on carbon central metabolism and flux, redox metabolism, photosynthesis, and to the plant’s hormone and defense response. The observed unintended effects in GM herbicide-tolerant varieties unravels the deleterious effects previously observed on GM tolerant varieties growth and production. The impact of GBH on shikimate and cascade pathways was observed in terms of both native and transgenic insensitive EPSPS modulation, alteration of jasmonic acid and lignin metabolism in both single-transgene and stacked variety. Whereas the energy metabolism and carbon flux were differently affected in these varieties. Oxidative stress, more specifically glutathione metabolism, induced by GBH, was observed in this study. The stacked variety showed a more pronounced stress response (activation of specific stress defense proteins, Rboh, WRKY) and secondary compounds (β-glucosidase, isoflavone 7-O-methyltransferase). Omics profiling techniques, such as transcriptomic, can be considered tools to support risk assessment based on detecting unintended effects due to the GBH application.

CRISPR/Cas9-based ribonucleoprotein (RNP)-mediated system has the property of minimizing the effects related to the unwanted introduction of vector DNA and random integration of recombinant DNA. Here, we describe a platform based on the direct delivery of Cas9 RNPs to soybean protoplasts for genetic screens in knockout gene-edited soybean lines without the transfection of DNA vectors. The platform is based on the isolation of soybean protoplasts and delivery of Cas RNP complex. To empirically test our platform, we have chosen a model gene from the soybean genetic toolbox. We have used five different guide RNA (gRNA) sequences that targeted the constitutive pathogen response 5 (CPR5) gene associated with the growth of trichomes in soybean. In addition, efficient protoplast transformation, concentration, and ratio of Cas9 and gRNAs were optimized for soybean for the first time. Targeted mutagenesis insertion and deletion frequency and sequences were analyzed using both Sanger and targeted deep sequencing strategies. We were able to identify different mutation patterns within insertions and deletions (InDels) between + 5 nt and –30 bp and mutation frequency ranging from 4.2 to 18.1% in the GmCPR5 locus. Our results showed that DNA-free delivery of Cas9 complexes to protoplasts is a useful approach to perform early-stage genetic screens and anticipated analysis of Cas9 activity in soybeans.

In Europe, genetically modified organisms (GMOs) are subject to an authorization process including a mandatory risk assessment. According to the respective guidance by the European Food Safety Authority (EFSA), one of the pillars of this GMO risk assessment is a comparative analysis of the compositional and agronomic characteristics. This targeted approach has been criticized for its limitations, as it only considers pre-determined compounds, being insufficient to assess a comprehensive range of relevant compounds, including toxins and anti-nutrients, on a case-specific basis. Strategies based on advanced untargeted omics technologies have been proposed as a potential broader approach to be implemented into the initial step of the risk assessment framework. Here, we provide an example of a step-by-step omics analysis based on systems biology approach to fit into the context of European GMO regulation. We have performed field trial experiments with genetically modified (GM) Intacta™ Roundup Ready™ 2 Pro soybean containing both cry1Ac and cp4epsps transgenic inserts and analyzed its proteomic profile against the non-GM counterpart and reference varieties. Based on EFSA’s comparative endpoint-by-endpoint approach, the proteomics analysis revealed six proteins from the GMO outside the 99% tolerance intervals of reference varieties (RVs) in the equivalence test. Interestingly, from the near-isogenic (non-GM) comparator we found as many as ten proteins to be outside of the said RVs’ equivalence limits. According to EFSA’s statistical guidelines, differences found in metabolite abundance between a GMO and its non-GM comparator would not be considered biologically relevant as all compounds of concern remained within the equivalence limits of commercial RVs. By assessing the proteomic and metabolomic data through our proposed systems biology approach, we found 70 proteins, and the metabolite xylobiose as differentially expressed between the GMO and its non-GM comparator. Biological relevance of such results was revealed through a functional biological network analysis, where we found alterations in several metabolic pathways related to protein synthesis and protein processing. Moreover, the allergenicity analysis identified 43 proteins with allergenic potential being differentially expressed in the GM soybean variety. Our results demonstrate that implementation of advanced untargeted omics technologies in the risk assessment of GMOs will enable early and holistic assessment of possible adverse effects. The proposed approach can provide a better understanding of the specific unintended effects of the genetic modification on the plant’s metabolism, the involved biological networks, and their interactions, and allows to formulate and investigate dedicated risk hypotheses in the first place. We draw conclusions on a detailed comparison with the comparative assessment according to EFSA and provide scientific arguments and examples on how the current comparative approach is not fit for purpose.

RESUMO A industrialização da agricultura e da pecuária, além de gerar um ambiente propício à disseminação de agentes infecciosos, é responsável pelo uso generalizado de diversas substâncias tóxicas que afetam a saúde humana, animal e ambiental. O objetivo deste estudo foi promover a reflexão sobre o uso de agrotóxicos e medicamentos veterinários como elementos de debate na construção da Saúde Única. Para isso, foi realizada uma revisão exploratória literária de artigos, livros e documentos oficiais disponíveis em plataformas de banco de dados. A discussão inclui as problemáticas do uso de substâncias tóxicas em plantas e animais. Aborda, também, como os resíduos oriundos de sua utilização impactam a qualidade de alimentos, ar, solo, água com consequências à saúde humana. Embora essa discussão seja escassa na temática de Saúde Única, é fundamental que, além da participação da sociedade civil organizada, gestores públicos assegurem, por meio de políticas públicas, maior segurança e controle na utilização de substâncias tóxicas na agricultura e na pecuária.

Background World agricultural production of genetically modified (GM) products, in particular, the combination of different traits/genes in the same plant has been a trend over the last decade. There has been concerns raised over stacking multiple herbicide and insect-resistant transgenes that could result in fitness costs depending on the type and strength of selection pressures exerted by the environment. Here, we report the results of transcriptomic analysis comparing the effect of glyphosate-based herbicide (GBH) in the single-transgene versus stacked, herbicide resistant soybean varieties on various biological processes, metabolic pathways, and key shikimic enzymes.Results Gene expression data showed that defense metabolism and redox homeostasis were equally modulated in single-transgene and stacked variety samples. Carbon accumulation and energy metabolisms were distinct between the varieties and photosynthesis metabolism was found negatively affected in the single-transgene variety only. In the stacked variety, the shikimate pathway was modulated by the accumulation of transcripts from phenylalanine gene and other cascade genes. As expected, the expression of native EPSPS was upregulated in both varieties when herbicide was applied. On the other hand, transgenic EPSPS expression was down regulated in both GM varieties upon herbicide application which cannot be explained. Conclusion Glyphosate-based herbicides toxicity suggests its effects on carbon central metabolism and flux, redox metabolism, photosynthesis, and to hormone and defense response in plants. The observed unintended effects in GM herbicide-tolerant varieties unravels the deleterious effects previously observed on GM tolerant varieties growth and production. The impact of GBH on shikimate and cascade pathways was observed in terms of both native and transgenic insensitive EPSPS modulation, alteration of jasmonic acid and lignin metabolism in both single-transgene and stacked variety. The energy metabolism and carbon flux were differently affected in these varieties. Oxidative stress, more specifically glutathione metabolism, induced by GBH, was also observed in this study. The stacked variety showed a more pronounced stress response (activation of specific stress defense proteins, Rboh, WRKY) and secondary compounds (β-glucosidase, isoflavone 7-O-methyltransferase). Omics profiling techniques, such as transcriptomics, can be considered tools to support risk assessment in detecting unintended effects due to the GBH application.