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Benevenuto RF, Venter HJ, Zanatta CB, Nodari RO, Agapito-Tenfen SZ. Alterations in genetically modified crops assessed by omics studies: Systematic review and meta-analysis. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.01.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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2
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Omomowo OI, Babalola OO. Constraints and Prospects of Improving Cowpea Productivity to Ensure Food, Nutritional Security and Environmental Sustainability. FRONTIERS IN PLANT SCIENCE 2021; 12:751731. [PMID: 34745184 PMCID: PMC8570086 DOI: 10.3389/fpls.2021.751731] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 09/30/2021] [Indexed: 05/23/2023]
Abstract
Providing safe and secure food for an increasing number of people globally is challenging. Coping with such a human population by merely applying the conventional agricultural production system has not proved to be agro-ecologically friendly; nor is it sustainable. Cowpea (Vigna unguiculata (L) Walp) is a multi-purpose legume. It consists of high-quality protein for human consumption, and it is rich in protein for livestock fodder. It enriches the soil in that it recycles nutrients through the fixation of nitrogen in association with nodulating bacteria. However, the productivity of this multi-functional, indigenous legume that is of great value to African smallholder farmers and the rural populace, and also to urban consumers and entrepreneurs, is limited. Because cowpea is of strategic importance in Africa, there is a need to improve on its productivity. Such endeavors in Africa are wrought with challenges that include drought, salinity, the excessive demand among farmers for synthetic chemicals, the repercussions of climate change, declining soil nutrients, microbial infestations, pest issues, and so forth. Nevertheless, giant strides have already been made and there have already been improvements in adopting sustainable and smart biotechnological approaches that are favorably influencing the production costs of cowpea and its availability. As such, the prospects for a leap in cowpea productivity in Africa and in the enhancement of its genetic gain are good. Potential and viable means for overcoming some of the above-mentioned production constraints would be to focus on the key cowpea producer nations in Africa and to encourage them to embrace biotechnological techniques in an integrated approach to enhance for sustainable productivity. This review highlights the spectrum of constraints that limit the cowpea yield, but looks ahead of the constraints and seeks a way forward to improve cowpea productivity in Africa. More importantly, this review investigates applications and insights concerning mechanisms of action for implementing eco-friendly biotechnological techniques, such as the deployment of bio inoculants, applying climate-smart agricultural (CSA) practices, agricultural conservation techniques, and multi-omics smart technology in the spheres of genomics, transcriptomics, proteomics, and metabolomics, for improving cowpea yields and productivity to achieve sustainable agro-ecosystems, and ensuring their stability.
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Affiliation(s)
| | - Olubukola Oluranti Babalola
- Food Security and Safety Niche Area, Faculty of Natural and Agricultural Sciences, North-West University, Mmabatho, South Africa
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3
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Yang M, Liu X, Luo Y, Pearlstein AJ, Wang S, Dillow H, Reed K, Jia Z, Sharma A, Zhou B, Pearlstein D, Yu H, Zhang B. Machine learning-enabled non-destructive paper chromogenic array detection of multiplexed viable pathogens on food. NATURE FOOD 2021; 2:110-117. [PMID: 37117406 DOI: 10.1038/s43016-021-00229-5] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 01/18/2021] [Indexed: 04/30/2023]
Abstract
Fast and simultaneous identification of multiple viable pathogens on food is critical to public health. Here we report a pathogen identification system using a paper chromogenic array (PCA) enabled by machine learning. The PCA consists of a paper substrate impregnated with 23 chromogenic dyes and dye combinations, which undergo colour changes on exposure to volatile organic compounds emitted by pathogens of interest. These colour changes are digitized and used to train a multi-layer neural network (NN), endowing it with high-accuracy (91-95%) strain-specific pathogen identification and quantification capabilities. The trained PCA-NN system can distinguish between viable Escherichia coli, E. coli O157:H7 and other viable pathogens, and can simultaneously identify both E. coli O157:H7 and Listeria monocytogenes on fresh-cut romaine lettuce, which represents a realistic and complex environment. This approach has the potential to advance non-destructive pathogen detection and identification on food, without enrichment, culturing, incubation or other sample preparation steps.
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Affiliation(s)
- Manyun Yang
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, USA
| | - Xiaobo Liu
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, USA
| | - Yaguang Luo
- Environmental Microbial and Food Safety Lab, US Department of Agriculture, Agriculture Research Service, Beltsville, MD, USA.
| | - Arne J Pearlstein
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Shilong Wang
- Department of Electrical and Computer Engineering, University of Massachusetts, Lowell, MA, USA
| | - Hayden Dillow
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, USA
| | - Kevin Reed
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, USA
| | - Zhen Jia
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, USA
| | - Arnav Sharma
- Department of Biological Sciences, University of Connecticut, Farmington, CT, USA
| | - Bin Zhou
- Environmental Microbial and Food Safety Lab, US Department of Agriculture, Agriculture Research Service, Beltsville, MD, USA
| | - Dan Pearlstein
- Environmental Microbial and Food Safety Lab, US Department of Agriculture, Agriculture Research Service, Beltsville, MD, USA
| | - Hengyong Yu
- Department of Electrical and Computer Engineering, University of Massachusetts, Lowell, MA, USA
| | - Boce Zhang
- Department of Biomedical and Nutritional Sciences, University of Massachusetts, Lowell, MA, USA.
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4
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Bedair M, Glenn KC. Evaluation of the use of untargeted metabolomics in the safety assessment of genetically modified crops. Metabolomics 2020; 16:111. [PMID: 33037482 PMCID: PMC7547035 DOI: 10.1007/s11306-020-01733-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 09/29/2020] [Indexed: 01/22/2023]
Abstract
BACKGROUND The safety assessment of foods and feeds from genetically modified (GM) crops includes the comparison of key characteristics, such as crop composition, agronomic phenotype and observations from animal feeding studies compared to conventional counterpart varieties that have a history of safe consumption, often including a near isogenic variety. The comparative compositional analysis of GM crops has been based on targeted, validated, quantitative analytical methods for the key food and feed nutrients and antinutrients for each crop, as identified by Organization of Economic Co-operation and Development (OCED). As technologies for untargeted metabolomic methods have evolved, proposals have emerged for their use to complement or replace targeted compositional analytical methods in regulatory risk assessments of GM crops to increase the number of analyzed metabolites. AIM OF REVIEW The technical opportunities, challenges and strategies of including untargeted metabolomics analysis in the comparative safety assessment of GM crops are reviewed. The results from metabolomics studies of GM and conventional crops published over the last eight years provide context to enable the discussion of whether metabolomics can materially improve the risk assessment of food and feed from GM crops beyond that possible by the Codex-defined practices used worldwide for more than 25 years. KEY SCIENTIFIC CONCEPTS OF REVIEW Published studies to date show that environmental and genetic factors affect plant metabolomics profiles. In contrast, the plant biotechnology process used to make GM crops has little, if any consequence, unless the inserted GM trait is intended to alter food or feed composition. The nutritional value and safety of food and feed from GM crops is well informed by the quantitative, validated compositional methods for list of key analytes defined by crop-specific OECD consensus documents. Untargeted metabolic profiling has yet to provide data that better informs the safety assessment of GM crops than the already rigorous Codex-defined quantitative comparative assessment. Furthermore, technical challenges limit the implementation of untargeted metabolomics for regulatory purposes: no single extraction method or analytical technique captures the complete plant metabolome; a large percentage of metabolites features are unknown, requiring additional research to understand if differences for such unknowns affect food/feed safety; and standardized methods are needed to provide reproducible data over time and laboratories.
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Fedorova M, Herman RA. Obligatory metabolomic profiling of gene-edited crops is risk disproportionate. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 103:1985-1988. [PMID: 32593232 PMCID: PMC7540486 DOI: 10.1111/tpj.14896] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 05/21/2020] [Accepted: 05/27/2020] [Indexed: 05/06/2023]
Abstract
It has been argued that the application of metabolomics to gene-edited crops would present value in three areas: (i) the detection of gene-edited crops; (ii) the characterization of unexpected changes that might affect safety; and (iii) building on the track record of rigorous government regulation in supporting consumer acceptance of genetically modified organisms (GMOs). Here, we offer a different perspective, relative to each of these areas: (i) metabolomics is unable to differentiate whether a mutation has resulted from gene editing or from traditional breeding techniques; (ii) it is risk-disproportionate to apply metabolomics for regulatory purposes to search for possible compositional differences within crops developed using the least likely technique to generate unexpected compositional changes; and (iii) onerous regulations for genetically engineered crops have only contributed to unwarranted public fears, and repeating this approach for gene-edited crops is unlikely to result in a different outcome. It is also suggested that article proposing the utility of specific analytical techniques to support risk assessment would benefit from the input of scientists with subject matter expertise in risk assessment.
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Affiliation(s)
- Maria Fedorova
- Corteva Agriscience7100 NW 62 AvePO Box 1000JohnstonIA50131USA
| | - Rod A. Herman
- Corteva Agriscience9330 Zionsville RoadIndianapolisIN46268USA
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Delaney B, Hazebroek J, Herman R, Juberg D, Storer NP. Untargeted Metabolomics Are Not Useful in the Risk Assessment of GM Crops. TRENDS IN PLANT SCIENCE 2019; 24:383-384. [PMID: 30926379 DOI: 10.1016/j.tplants.2019.03.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 03/04/2019] [Indexed: 06/09/2023]
Affiliation(s)
- Bryan Delaney
- Corteva Agriscience™, Agriculture Division of DowDuPont, 7100 NW 62nd Avenue, Johnston, IA 50131, USA
| | - Jan Hazebroek
- Corteva Agriscience™, Agriculture Division of DowDuPont, 7100 NW 62nd Avenue, Johnston, IA 50131, USA
| | - Rod Herman
- Corteva Agriscience™, Agriculture Division of DowDuPont, Indianapolis, IN 46268, USA
| | - Daland Juberg
- Corteva Agriscience™, Agriculture Division of DowDuPont, Indianapolis, IN 46268, USA
| | - Nicholas P Storer
- Corteva Agriscience™, Agriculture Division of DowDuPont, 7100 NW 62nd Avenue, Johnston, IA 50131, USA.
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Ladics GS. Assessment of the potential allergenicity of genetically-engineered food crops. J Immunotoxicol 2018; 16:43-53. [PMID: 30409058 DOI: 10.1080/1547691x.2018.1533904] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
An extensive safety assessment process exists for genetically-engineered (GE) crops. The assessment includes an evaluation of the introduced protein as well as the crop containing the protein with the goal of demonstrating the GE crop is "as-safe-as" non-GE crops in the food supply. One of the evaluations for GE crops is to assess the expressed protein for allergenic potential. Currently, no single factor is recognized as a predictor for protein allergenicity. Therefore, a weight-of-the-evidence approach, which accounts for a variety of factors and approaches for an overall assessment of allergenic potential, is conducted. This assessment includes an evaluation of the history of exposure and safety of the gene(s) source; protein structure (e.g. amino acid sequence identity to human allergens); stability of the protein to pepsin digestion in vitro; heat stability of the protein; glycosylation status; and when appropriate, specific IgE binding studies with sera from relevant clinically allergic subjects. Since GE crops were first commercialized over 20 years ago, there is no proof that the introduced novel protein(s) in any commercialized GE food crop has caused food allergy.
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Dervilly-Pinel G, Royer AL, Bozzetta E, Pezzolato M, Herpin L, Prevost S, Le Bizec B. When LC-HRMS metabolomics gets ISO17025 accredited and ready for official controls – application to the screening of forbidden compounds in livestock. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2018; 35:1948-1958. [DOI: 10.1080/19440049.2018.1496280] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Affiliation(s)
| | - Anne-Lise Royer
- Laberca, Oniris, INRA, Université Bretagne Loire, Nantes, France
| | - Elena Bozzetta
- Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Torino, Italy
| | - Marzia Pezzolato
- Istituto Zooprofilattico Sperimentale del Piemonte Liguria e Valle d’Aosta, Torino, Italy
| | - Loïc Herpin
- Laberca, Oniris, INRA, Université Bretagne Loire, Nantes, France
| | | | - Bruno Le Bizec
- Laberca, Oniris, INRA, Université Bretagne Loire, Nantes, France
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9
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Andjelković U, Josić D. Mass spectrometry based proteomics as foodomics tool in research and assurance of food quality and safety. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.04.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Vincelli P, Jackson-Smith D, Holsapple M, Grusak MA, Harsh M, Klein T, Lambert J, Lange BM, Lodge DM, McCluskey J, Murphy A, Neuhouser ML, Pray C, Weller S. National Academies report has broad support. Nat Biotechnol 2018; 35:304-306. [PMID: 28398324 DOI: 10.1038/nbt.3842] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Paul Vincelli
- Sustainable Agriculture Research and Education Program (SARE) and the University of Kentucky, Lexington, Kentucky, USA
| | - Douglas Jackson-Smith
- Rural Sociological Society and School of Environment and Natural Resources, The Ohio State University, Columbus, Ohio, USA
| | - Michael Holsapple
- Society of Toxicology, Center for Research on Ingredient Safety (CRIS) and Department of Food Science and Human Nutrition, Michigan State University, East Lansing, Michigan, USA
| | - Michael A Grusak
- Crop Science Society of America, USDA-ARS Children's Nutrition Research Center and Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Matthew Harsh
- Society for Social Studies of Science and Centre for Engineering in Society, Concordia University, Montreal, Quebec, Canada
| | - Theodore Klein
- Society for In Vitro Biology and Meristematic, Inc., San Francisco, California, USA
| | - James Lambert
- Society for Risk Analysis and University of Virginia, Charlottesville, Virginia, USA
| | - B Markus Lange
- Phytochemical Society of North America and Institute of Biological Chemistry, Washington State University, Pullman, Washington, USA
| | - David M Lodge
- Ecological Society of America and Atkinson Center for a Sustainable Future, Cornell University, Ithaca, New York, USA
| | - Jill McCluskey
- School of Economic Sciences, Washington State University, Pullman, Washington, USA
| | - Angus Murphy
- Department of Plant Sciences and Landscape Architecture, University of Maryland, College Park, Maryland, USA
| | - Marian L Neuhouser
- American Society for Nutrition and Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Carl Pray
- International Consortium for Applied Bioeconomy Research and Department of Agriculture, Food, and Resource Economics, Rutgers University, New Brunswick, New Jersey, USA
| | - Susan Weller
- Entomological Society of America and University of Nebraska State Museum, Lincoln, Nebraska, USA
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Tang W, Hazebroek J, Zhong C, Harp T, Vlahakis C, Baumhover B, Asiago V. Effect of Genetics, Environment, and Phenotype on the Metabolome of Maize Hybrids Using GC/MS and LC/MS. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2017; 65:5215-5225. [PMID: 28574696 DOI: 10.1021/acs.jafc.7b00456] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
We evaluated the variability of metabolites in various maize hybrids due to the effect of environment, genotype, phenotype as well as the interaction of the first two factors. We analyzed 480 forage and the same number of grain samples from 21 genetically diverse non-GM Pioneer brand maize hybrids, including some with drought tolerance and viral resistance phenotypes, grown at eight North American locations. As complementary platforms, both GC/MS and LC/MS were utilized to detect a wide diversity of metabolites. GC/MS revealed 166 and 137 metabolites in forage and grain samples, respectively, while LC/MS captured 1341 and 635 metabolites in forage and grain samples, respectively. Univariate and multivariate analyses were utilized to investigate the response of the maize metabolome to the environment, genotype, phenotype, and their interaction. Based on combined percentages from GC/MS and LC/MS datasets, the environment affected 36% to 84% of forage metabolites, while less than 7% were affected by genotype. The environment affected 12% to 90% of grain metabolites, whereas less than 27% were affected by genotype. Less than 10% and 11% of the metabolites were affected by phenotype in forage and grain, respectively. Unsupervised PCA and HCA analyses revealed similar trends, i.e., environmental effect was much stronger than genotype or phenotype effects. On the basis of comparisons of disease tolerant and disease susceptible hybrids, neither forage nor grain samples originating from different locations showed obvious phenotype effects. Our findings demonstrate that the combination of GC/MS and LC/MS based metabolite profiling followed by broad statistical analysis is an effective approach to identify the relative impact of environmental, genetic and phenotypic effects on the forage and grain composition of maize hybrids.
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Affiliation(s)
- Weijuan Tang
- Corporate Center for Analytical Sciences, DuPont Experimental Station , 200 Powder Mill Road, Wilmington, Delaware 19803, United States
| | - Jan Hazebroek
- Analytical & Genomics Technologies, DuPont Pioneer , 8325 NW 62nd Avenue, Johnston, Iowa 50131-7062, United States
| | - Cathy Zhong
- Global Regulatory Science, DuPont Experimental Station , 200 Powder Mill Road, Wilmington, Delaware 19803-0400, United States
| | - Teresa Harp
- Analytical & Genomics Technologies, DuPont Pioneer , 8325 NW 62nd Avenue, Johnston, Iowa 50131-7062, United States
| | - Chris Vlahakis
- Analytical & Genomics Technologies, DuPont Pioneer , 8325 NW 62nd Avenue, Johnston, Iowa 50131-7062, United States
| | - Brian Baumhover
- Global Regulatory Science, DuPont Pioneer , 8325 NW 62nd Avenue, Johnston, Iowa 50131-7060, United States
| | - Vincent Asiago
- Analytical & Genomics Technologies, DuPont Pioneer , 8325 NW 62nd Avenue, Johnston, Iowa 50131-7062, United States
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12
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Global proteome analysis in plants by means of peptide libraries and applications. J Proteomics 2016; 143:3-14. [DOI: 10.1016/j.jprot.2016.02.033] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2015] [Revised: 02/20/2016] [Accepted: 02/26/2016] [Indexed: 01/07/2023]
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13
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Van
Emon JM. The Omics Revolution in Agricultural Research. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2016; 64:36-44. [PMID: 26468989 PMCID: PMC4714296 DOI: 10.1021/acs.jafc.5b04515] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Revised: 10/02/2015] [Accepted: 10/07/2015] [Indexed: 05/25/2023]
Abstract
The Agrochemicals Division cosponsored the 13th International Union of Pure and Applied Chemistry International Congress of Pesticide Chemistry held as part of the 248th National Meeting and Exposition of the American Chemical Society in San Francisco, CA, USA, August 10-14, 2014. The topic of the Congress was Crop, Environment, and Public Health Protection; Technologies for a Changing World. Over 1000 delegates participated in the Congress with interactive scientific programming in nine major topic areas including the challenges and opportunities of agricultural biotechnology. Plenary speakers addressed global issues related to the Congress theme prior to the daily technical sessions. The plenary lecture addressing the challenges and opportunities that omic technologies provide agricultural research is presented here. The plenary lecture provided the diverse audience with information on a complex subject to stimulate research ideas and provide a glimpse of the impact of omics on agricultural research.
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14
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Simó C, Ibáñez C, Valdés A, Cifuentes A, García-Cañas V. Metabolomics of genetically modified crops. Int J Mol Sci 2014; 15:18941-66. [PMID: 25334064 PMCID: PMC4227254 DOI: 10.3390/ijms151018941] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2014] [Revised: 10/08/2014] [Accepted: 10/09/2014] [Indexed: 01/03/2023] Open
Abstract
Metabolomic-based approaches are increasingly applied to analyse genetically modified organisms (GMOs) making it possible to obtain broader and deeper information on the composition of GMOs compared to that obtained from traditional analytical approaches. The combination in metabolomics of advanced analytical methods and bioinformatics tools provides wide chemical compositional data that contributes to corroborate (or not) the substantial equivalence and occurrence of unintended changes resulting from genetic transformation. This review provides insight into recent progress in metabolomics studies on transgenic crops focusing mainly in papers published in the last decade.
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Affiliation(s)
- Carolina Simó
- Laboratory of Foodomics, Institute of Food Science Research (CIAL), Spanish National Research Council (CSIC), Nicolas Cabrera 9, Cantoblanco Campus, Madrid 28049, Spain.
| | - Clara Ibáñez
- Laboratory of Foodomics, Institute of Food Science Research (CIAL), Spanish National Research Council (CSIC), Nicolas Cabrera 9, Cantoblanco Campus, Madrid 28049, Spain.
| | - Alberto Valdés
- Laboratory of Foodomics, Institute of Food Science Research (CIAL), Spanish National Research Council (CSIC), Nicolas Cabrera 9, Cantoblanco Campus, Madrid 28049, Spain.
| | - Alejandro Cifuentes
- Laboratory of Foodomics, Institute of Food Science Research (CIAL), Spanish National Research Council (CSIC), Nicolas Cabrera 9, Cantoblanco Campus, Madrid 28049, Spain.
| | - Virginia García-Cañas
- Laboratory of Foodomics, Institute of Food Science Research (CIAL), Spanish National Research Council (CSIC), Nicolas Cabrera 9, Cantoblanco Campus, Madrid 28049, Spain.
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15
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Ladics GS, Budziszewski GJ, Herman RA, Herouet-Guicheney C, Joshi S, Lipscomb EA, McClain S, Ward JM. Measurement of endogenous allergens in genetically modified soybeans--short communication. Regul Toxicol Pharmacol 2014; 70:75-9. [PMID: 24945742 DOI: 10.1016/j.yrtph.2014.06.006] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2014] [Revised: 06/04/2014] [Accepted: 06/06/2014] [Indexed: 01/13/2023]
Abstract
The measurement of endogenous allergens is required by the European Commission (EC) as part of the compositional analysis for GM products from host plants that are common causes of food allergy, such as soybean (EC Implementing Regulation No. 503/2013). In each case, the EC Implementing Regulation indicates that analysis be conducted on identified allergens as specified in the Organization of Economic Cooperation and Development (OECD) consensus documents on compositional considerations for new plant varieties. This communication discusses the methods available to measure endogenous allergens as well as the endogenous soybean allergens that should be analyzed. It is suggested herein that in conjunction with the 2012 OECD consensus document on soybean, any list of soybean allergens should be based on clinically relevant data among publicly available allergen databases and peer-reviewed scientific publications, and the ability to measure the identified allergen. Based on a detailed analysis of the scientific literature, the following key points are recommended: (1) the acceptance of serum-free, quantitative analytical method data as an alternative to traditional IgE reactivity qualitative or semi-quantitative data for evaluation of endogenous soybean allergen content; (2) eight of the 15 potential allergens listed in the OECD soybean consensus document (Gly m 3, Gly m 4, Gly m Bd28K, Gly m Bd30K, Gly m 5, Gly m 6, Gly m 8, and Kunitz trypsin inhibitor) have both appropriate supporting clinical data and sufficient sequence information to be evaluated in comparative endogenous soybean allergen studies; and (3) the remaining seven proteins (Gly m 1, Gly m 2, unknown 50kDa protein, unknown 39kDa protein, P-22-25, lipoxygenase and lectin) lack sufficient data for clear classification as confirmed allergens and/or available sequence information and should not be currently included in the measurement of endogenous soybean allergens in the compositional analysis for the EU.
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Affiliation(s)
- Gregory S Ladics
- DuPont Pioneer Agricultural Biotechnology, DuPont Experimental Station, 200 Powder Mill Road, Wilmington, DE 19803-0400, USA.
| | | | - Rod A Herman
- Dow AgroSciences, 9330 Zionsville Rd, Indianapolis, IN 46077, USA
| | | | - Saurabh Joshi
- Monsanto Company, Product Characterization Center, 800 North Lindbergh Blvd., St. Louis, MO 63167, USA
| | | | - Scott McClain
- Syngenta Crop Protection, LLC, 3054 E. Cornwallis Road, Research Triangle Park, NC, USA
| | - Jason M Ward
- Monsanto Company, Product Characterization Center, 800 North Lindbergh Blvd., St. Louis, MO 63167, USA
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16
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Zeng W, Hazebroek J, Beatty M, Hayes K, Ponte C, Maxwell C, Zhong CX. Analytical method evaluation and discovery of variation within maize varieties in the context of food safety: transcript profiling and metabolomics. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2014; 62:2997-3009. [PMID: 24564827 DOI: 10.1021/jf405652j] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Profiling techniques such as microarrays, proteomics, and metabolomics are used widely to assess the overall effects of genetic background, environmental stimuli, growth stage, or transgene expression in plants. To assess the potential regulatory use of these techniques in agricultural biotechnology, we carried out microarray and metabolomic studies of 3 different tissues from 11 conventional maize varieties. We measured technical variations for both microarrays and metabolomics, compared results from individual plants and corresponding pooled samples, and documented variations detected among different varieties with individual plants or pooled samples. Both microarray and metabolomic technologies are reproducible and can be used to detect plant-to-plant and variety-to-variety differences. A pooling strategy lowered sample variations for both microarray and metabolomics while capturing variety-to-variety variation. However, unknown genomic sequences differing between maize varieties might hinder the application of microarrays. High-throughput metabolomics could be useful as a tool for the characterization of transgenic crops. However, researchers will have to take into consideration the impact on the detection and quantitation of a wide range of metabolites on experimental design as well as validation and interpretation of results.
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Affiliation(s)
- Weiqing Zeng
- DuPont Pioneer, Regulatory Sciences, Wilmington, Delaware 19880, United States
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17
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Baniasadi H, Vlahakis C, Hazebroek J, Zhong C, Asiago V. Effect of environment and genotype on commercial maize hybrids using LC/MS-based metabolomics. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2014; 62:1412-22. [PMID: 24479624 DOI: 10.1021/jf404702g] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
We recently applied gas chromatography coupled to time-of-flight mass spectrometry (GC/TOF-MS) and multivariate statistical analysis to measure biological variation of many metabolites due to environment and genotype in forage and grain samples collected from 50 genetically diverse nongenetically modified (non-GM) DuPont Pioneer commercial maize hybrids grown at six North American locations. In the present study, the metabolome coverage was extended using a core subset of these grain and forage samples employing ultra high pressure liquid chromatography (uHPLC) mass spectrometry (LC/MS). A total of 286 and 857 metabolites were detected in grain and forage samples, respectively, using LC/MS. Multivariate statistical analysis was utilized to compare and correlate the metabolite profiles. Environment had a greater effect on the metabolome than genetic background. The results of this study support and extend previously published insights into the environmental and genetic associated perturbations to the metabolome that are not associated with transgenic modification.
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Affiliation(s)
- Hamid Baniasadi
- DuPont Pioneer, Analytical & Genomics Technologies, 7300 NW 62nd Avenue, Johnston, Iowa, 50131-1004, United States
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Making Progress in Plant Proteomics for Improved Food Safety. ACTA ACUST UNITED AC 2014. [DOI: 10.1016/b978-0-444-62650-9.00006-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
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Valdés A, Simó C, Ibáñez C, García-Cañas V. Foodomics strategies for the analysis of transgenic foods. Trends Analyt Chem 2013. [DOI: 10.1016/j.trac.2013.05.023] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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van Rijssen FWJ, Morris EJ, Eloff JN. Food safety: importance of composition for assessing genetically modified cassava (Manihot esculenta Crantz). JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2013; 61:8333-8339. [PMID: 23899040 DOI: 10.1021/jf401153x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
The importance of food composition in safety assessments of genetically modified (GM) food is described for cassava ( Manihot esculenta Crantz) that naturally contains significantly high levels of cyanogenic glycoside (CG) toxicants in roots and leaves. The assessment of the safety of GM cassava would logically require comparison with a non-GM crop with a proven "history of safe use". This study investigates this statement for cassava. A non-GM comparator that qualifies would be a processed product with CG level below the approved maximum level in food and that also satisfies a "worst case" of total dietary consumption. Although acute and chronic toxicity benchmark CG values for humans have been determined, intake data are scarce. Therefore, the non-GM cassava comparator is defined on the "best available knowledge". We consider nutritional values for cassava and conclude that CG residues in food should be a priority topic for research.
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Affiliation(s)
- Fredrika W Jansen van Rijssen
- Phytomedicine Program, Department of Paraclinical Sciences, Faculty of Veterinary Science, University of Pretoria , Private Bag X04, Onderstepoort 0110, South Africa
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Arjó G, Portero M, Piñol C, Viñas J, Matias-Guiu X, Capell T, Bartholomaeus A, Parrott W, Christou P. Plurality of opinion, scientific discourse and pseudoscience: an in depth analysis of the Séralini et al. study claiming that Roundup™ Ready corn or the herbicide Roundup™ cause cancer in rats. Transgenic Res 2013; 22:255-67. [PMID: 23430588 DOI: 10.1007/s11248-013-9692-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2012] [Accepted: 02/02/2013] [Indexed: 10/27/2022]
Abstract
A recent paper published in the journal Food and Chemical Toxicology presents the results of a long-term toxicity study related to a widely-used commercial herbicide (Roundup™) and a Roundup-tolerant genetically modified variety of maize, concluding that both the herbicide and the maize varieties are toxic. Here we discuss the many errors and inaccuracies in the published article resulting in highly misleading conclusions, whose publication in the scientific literature and in the wider media has caused damage to the credibility of science and researchers in the field. We and many others have criticized the study, and in particular the manner in which the experiments were planned, implemented, analyzed, interpreted and communicated. The study appeared to sweep aside all known benchmarks of scientific good practice and, more importantly, to ignore the minimal standards of scientific and ethical conduct in particular concerning the humane treatment of experimental animals.
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Affiliation(s)
- Gemma Arjó
- Departament de Medicina, Universitat de Lleida-Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
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Gong CY, Wang T. Proteomic evaluation of genetically modified crops: current status and challenges. FRONTIERS IN PLANT SCIENCE 2013; 4:41. [PMID: 23471542 PMCID: PMC3590489 DOI: 10.3389/fpls.2013.00041] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2012] [Accepted: 02/19/2013] [Indexed: 05/07/2023]
Abstract
Hectares of genetically modified (GM) crops have increased exponentially since 1996, when such crops began to be commercialized. GM biotechnology, together with conventional breeding, has become the main approach to improving agronomic traits of crops. However, people are concerned about the safety of GM crops, especially GM-derived food and feed. Many efforts have been made to evaluate the unintended effects caused by the introduction of exogenous genes. "Omics" techniques have advantages over targeted analysis in evaluating such crops because of their use of high-throughput screening. Proteins are key players in gene function and are directly involved in metabolism and cellular development or have roles as toxins, antinutrients, or allergens, which are essential for human health. Thus, proteomics can be expected to become one of the most useful tools in safety assessment. This review assesses the potential of proteomics in evaluating various GM crops. We further describe the challenges in ensuring homogeneity and sensitivity in detection techniques.
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Affiliation(s)
| | - Tai Wang
- *Correspondence: Tai Wang, Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun, Xiangshan, Haidianqu, Beijing 100093, China. e-mail:
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Yeung M. ADSA Foundation Scholar Award: Trends in culture-independent methods for assessing dairy food quality and safety: Emerging metagenomic tools. J Dairy Sci 2012; 95:6831-42. [DOI: 10.3168/jds.2012-5677] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2012] [Accepted: 08/19/2012] [Indexed: 01/13/2023]
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Translational plant proteomics: a perspective. J Proteomics 2012; 75:4588-601. [PMID: 22516432 DOI: 10.1016/j.jprot.2012.03.055] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2011] [Revised: 02/25/2012] [Accepted: 03/25/2012] [Indexed: 11/21/2022]
Abstract
Translational proteomics is an emerging sub-discipline of the proteomics field in the biological sciences. Translational plant proteomics aims to integrate knowledge from basic sciences to translate it into field applications to solve issues related but not limited to the recreational and economic values of plants, food security and safety, and energy sustainability. In this review, we highlight the substantial progress reached in plant proteomics during the past decade which has paved the way for translational plant proteomics. Increasing proteomics knowledge in plants is not limited to model and non-model plants, proteogenomics, crop improvement, and food analysis, safety, and nutrition but to many more potential applications. Given the wealth of information generated and to some extent applied, there is the need for more efficient and broader channels to freely disseminate the information to the scientific community. This article is part of a Special Issue entitled: Translational Proteomics.
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Wang Y, Xu W, Zhao W, Hao J, Luo Y, Tang X, Zhang Y, Huang K. Comparative analysis of the proteomic and nutritional composition of transgenic rice seeds with Cry1ab/ac genes and their non-transgenic counterparts. J Cereal Sci 2012. [DOI: 10.1016/j.jcs.2011.12.004] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Heinemann JA, Kurenbach B, Quist D. Molecular profiling--a tool for addressing emerging gaps in the comparative risk assessment of GMOs. ENVIRONMENT INTERNATIONAL 2011; 37:1285-93. [PMID: 21624662 DOI: 10.1016/j.envint.2011.05.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2011] [Revised: 04/15/2011] [Accepted: 05/05/2011] [Indexed: 05/20/2023]
Abstract
Assessing the risks of genetically modified organisms (GMOs) is required by both international agreement and domestic legislation. Many view the use of the "omics" tools for profiling classes of molecules as useful in risk assessment, but no consensus has formed on the need or value of these techniques for assessing the risks of all GMOs. In this and many other cases, experts support case-by-case use of molecular profiling techniques for risk assessment. We review the latest research on the applicability and usefulness of molecular profiling techniques for GMO risk assessment. As more and more kinds of GMOs and traits are developed, broader use of molecular profiling in a risk assessment may be required to supplement the comparative approach to risk assessment. The literature-based discussions on the use of profiling appear to have settled on two findings: 1. profiling techniques are reliable and relevant, at least no less so than other techniques used in risk assessment; and 2. although not required routinely, regulators should be aware of when they are needed. The dismissal of routine molecular profiling may be confusing to regulators who then lack guidance on when molecular profiling might be worthwhile. Molecular profiling is an important way to increase confidence in risk assessments if the profiles are properly designed to address relevant risks and are applied at the correct stage of the assessment.
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Affiliation(s)
- Jack A Heinemann
- School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch, New Zealand.
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Ricroch AE, Bergé JB, Kuntz M. Evaluation of genetically engineered crops using transcriptomic, proteomic, and metabolomic profiling techniques. PLANT PHYSIOLOGY 2011; 155:1752-61. [PMID: 21350035 PMCID: PMC3091128 DOI: 10.1104/pp.111.173609] [Citation(s) in RCA: 83] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2011] [Accepted: 02/17/2011] [Indexed: 05/18/2023]
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