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Record W2063273303 · doi:10.1104/pp.112.209817

Editor’s Choice: Evaluating the Potential for Adverse Interactions within Genetically Engineered Breeding Stacks

2013· editorial· en· W2063273303 on OpenAlexaff
Henry‐York Steiner, Claire Halpin, Joseph M. Jez, John Kough, Wayne A. Parrott, Lynne Underhill, Natalie Weber, L. Curtis Hannah

Bibliographic record

VenuePLANT PHYSIOLOGY · 2013
Typeeditorial
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsHealth Canada
Fundersnot available
KeywordsGenetically engineeredHybridBiologyGenetically modified organismBiotechnologyPlant breedingGenetically modified cropsSelection (genetic algorithm)Selective breedingEvolutionary biologyGeneticsTransgeneComputer scienceAgronomyGeneArtificial intelligence

Abstract

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Plant breeding has a long history of developing varieties with desirable traits in response to the needs of both growers and consumers. Although the bases for most of these traits are not known genetically or biochemically, conventional breeding combines these multiple traits to create new hybrids and stable varieties that are safe and not generally subject to safety assessment. With the advent of genetic engineering, a tool for incorporating additional traits has become available to plant breeders. The safe application of genetic engineering to food and feed crops is widely acknowledged as a useful tool in addressing global agricultural challenges, including population growth and climate change. As used here, the term genetically engineered (GE) stack refers to a plant in which two or more transgenic events (i.e. single-locus insertions) that have been separately assessed for safety have been combined by conventional breeding (Table I). In recent years, increasing numbers of GE stacks have been planted, the first of which offered combinations of insect and herbicide tolerance genes to combat a wider range of pests and weeds than covered by the single events (Que et al., 2010; James, 2011). Two main questions arise when considering the food and feed safety of GE stacks: (1) does incorporation of more than one event increase genomic instability, and (2) can potential interactions between the products of the combined events impact safety? A related paper considered the stacking of events in light of the plasticity of plant genomes and concluded that enhanced genetic instability from a transgene or from common sequences in two or more transgenes is remote (Weber et al., 2012). This paper addresses the second question of potential interactions between events and their products combined in a stack, reviews the basic principles of plant breeding and its history of safe use, and extends these principles to the feed and food safety of events combined through the same processes used in conventional breeding of non-GE plants. Potential environmental impacts are outside the scope of food and feed safety. The new varieties developed through modern biotechnology are identified by a number of terms, including genetically modified (GM), GE, transgenic, biotech, recombinant, and plants with novel traits. The term GE is used here as defined by Weber et al. (2012). For these reasons, the term GE is preferred over the term GM. There are many methods encompassed by the general term conventional breeding, including wide crosses and selection, mutagenesis, and somaclonal variation. When the parental species are not closely related, the cross may be facilitated by embryo rescue, somatic hybridization, or x-ray-induced translocations. The term interaction, as used in this paper, refers to an effect, such as a new or modified metabolic activity, resulting from a combination of transgenes. An example of an interaction is protein-protein binding resulting in a novel effect only seen with a specific combination of proteins, for instance, protein cofactors or subunits for the same enzymatic complex or subcellular metabolic binding reaction. Examples can also include a direct metabolic interaction that would inhibit or activate components in a metabolic pathway shared by the proteins newly combined in the GE stack or components of independent metabolic pathways that indirectly interact by way of a common metabolite. Thus, interactions within GE stacks generally refer to the metabolic or physiochemical interplay between the products of transgenes or between the product of one transgene and the second gene, rather than between the two genes themselves. Conventional breeding has a long history of safe use despite the presence of antinutritional factors, toxins, and allergens in crops. There is no evidence that a random genomic change in a crop has resulted in a novel food or feed safety issue (Weber et al., 2012). Historically, humans have selected desirable traits that arise from the crop’s genomic plasticity and interactions between genes. As breeding became more advanced, new methods were applied to select and combine desired traits, which also modify the genome as a consequence. Plants produce a multitude of metabolites that provide various functions. These include signaling activities in response to environmental stress or attack from plant pathogens and pests. Some metabolites have beneficial effects, while others are toxic when fed at high levels to sensitive animal species (Ames et al., 1990). Although particular metabolites tend to be specific to some plant families, there are metabolites of concern in a number of common food and feed crops, including apple (Malus domestica), apricot (Prunus armeniaca), Brassica spp., celery (Apium graveolens), cucumber (Cucumis sativus), lima bean (Phaseolus lunatus), potato (Solanum tuberosum), cherry (Prunus avium or Prunus cerasus), and sorghum (Sorghum bicolor; Beier, 1990; D’Mello et al., 1991; Stewart, 2009). Examples of such metabolites include alkaloids, lectins, glucosinolates, furanocoumarins, cyanoglucosides, nicotines, and phytoestrogens. Some of these can impart bitter taste, and conventional breeding has repeatedly reduced their levels to acceptable concentrations (Drewnowski and Gomez-Carneros, 2000). There are few documented cases in which breeding led to an unacceptable level of a metabolite. Following reports of bitter taste, the potato var Lenape, which was developed from a cross of potato to a wild Solanum species, was found to contain doubled levels of glycoalkaloids (Anonymous, 1970). The only other documented incident of unacceptable metabolite levels associated with plant breeding is that of a disease-resistant celery containing elevated levels of furanocoumarins, which may have contributed to dermatitis among grocery store personnel (Berkley et al., 1986; Seligman et al., 1987). The environment can also play a role in impacting furanocoumarin levels; a later report of dermatitis among celery harvesters in southern Israel was attributed to delayed harvest, and hence more mature plants being handled, due to the Gulf War (Finkelstein et al., 1994). Similarly, reports of toxic squash (Rymal et al., 1984) and zucchini (Herrington, 1983) appear to have been limited to individual plants within otherwise widely grown varieties, suggesting the higher toxin levels were due to environmental conditions or mutations. Despite these few instances, these crops remain safe for food or feed use. Although breeders recombine tens of thousands of genes with virtually infinite potential interactions, to our knowledge, there has never been a report of a completely novel toxin or allergen appearing in a genus as a result of conventional breeding. The development of an interspecific somatic hybrid of potato (S. tuberosum and Solanum brevidens) containing demissidine (Laurila et al., 1996) has often been cited as proof that novel toxins can arise during breeding. In fact, Jadhav et al. (1981) documented the presence of demissidine in potato more than a decade before it was found in the hybrid. To guard against unexpected increases in levels of known toxins, breeders have instituted screens for these compounds in new varieties before they are released. Examples include cotton (Gossypium hirsutum), potato, lima bean, and canola (Brassica napus), because they contain known compounds that can impact food or feed safety. However, breeders cannot and do not screen for de novo compounds. Hundreds of thousands of varieties have been bred without the emergence of any novel allergens or toxins, indicating that the likelihood of such events is virtually zero (Stevens, 1974). Improved crop varieties produced by conventional breeding are the cornerstone of food production in the world today. Thus, the ways in which risks are managed during conventional breeding of non-GE crops, which includes testing for any known concerns, sets the framework for the food and feed safety assessment of GE stacks. As is the case for any other new variety or hybrid, GE stacks are only considered for market introduction if the combined traits have met the intended thresholds for efficacy and stability. Newly developed GE events undergo rigorous safety assessments by the developer and by regulatory agencies prior to their commercial release. These assessments evaluate the impact of both intended and potential unintended effects on food, feed, and other aspects of crop safety. Assessment criteria and objectives are based on national priorities and on international standards, such as those of the Joint Food Standards Program of the Food and Agriculture Organization of the United Nations and the World Health Organization (FAO/WHO, 1996, 2000), as well as Codex Alimentarius Commission recommendations for conducting food safety assessments of GE crops (Codex Alimentarius Commission, 2009). Codex principles and guidance are widely followed for single events. The key components of GE crop safety assessments include (1) descriptive information on the transgenes and inserted recombinant DNA; (2) detailed characterization of the DNA insert relative to the native genome, in planta concentration and stability of the products of the transgene(s), analysis of plant phenotype, and descriptive information such as efficacy, mechanism or mode of action of the new trait(s), and crop management considerations; (3) evaluation of the safety of the products of the transgene(s) in the context of common commercial crop practices and uses; and (4) comparative safety assessment for suitability as food and/or feed. Such analyses might include a determination of expression levels of known allergens and toxins, and overall composition, including nutrients, antinutrients, and selected metabolites for that crop (FAO/WHO, 1996, 2000; Cellini et al., 2004; Codex Alimentarius Commission, 2009; Thomas et al., 2009). Assessments of nutrient composition and agronomic characteristics, as well as an assessment of potential allergenicity and toxicity, are widely recognized as significant components of GE crop safety assessments (FAO/WHO, 1996, 2000; Metcalfe et al., 1996; Kuiper et al., 2001; Cellini et al., 2004; Delaney et al., 2008; Codex Alimentarius Commission, 2009; Thomas et al., 2009). Differences between the GE crop and appropriate comparators are evaluated in terms of biological relevance, magnitude of difference, exposure, and impact on food or feed safety to determine the need for further investigation. The comparators may include a closely related non-GE variety and other commercial GE and non-GE varieties. The International Life Sciences Institute’s Crop Composition Database (http://www.cropcomposition.org; International Life Sciences Institute, 2006) may also serve as a reference for comparison for some crops (Ridley et al., 2004). These holistic analyses also take into account interactions of the transgenes with endogenous genes and their products. Agriculturally important plants express approximately 25,000 to 50,000 genes at any given time. The safety assessment evaluates the GE crop phenotype, which includes interactions between the event and the host genome that may impact safety. Once the safety assessment is completed, conventional breeding is used to incorporate the event into different genetic backgrounds, without undergoing additional assessment. The developer of the resulting food and feed products is, however, responsible for the safety of those products and for meeting all relevant statutory and regulatory requirements, as is the case for all foods and feeds. Even within a single genus having species that differ in ploidy level, the number of genes within a plant can vary. For example, some 400 genes are not common in the historically important maize (Zea mays) inbreds B73 and Mo17; each of these genes is found in B73 but not in Mo17 or vice versa (Springer et al., 2009; Lai et al., 2010). Similarly, of the approximately 46,000 of genes in soybean (Glycine max), 856 genes were present in some but not all of the soybean genotypes tested (Lam et al., 2010). Of the two potato genotypes with sequenced genomes, 275 genes are found in only one or the other et al., 2011). Thus, different non-GE genotypes in novel combinations in novel interactions, but no safety have been this of novel interactions is to be by the stacking of transgenes. Despite the genetic in crop most regulatory agencies do not new non-GE varieties developed by conventional breeding there is a known safety concern or associated with the new variety of and Food and of the Food on Organization and Health Food This is based on the that conventional breeding is as As defined conventional breeding traits from genetic interactions of genes and their products are in breeding to produce new crop varieties. In plant breeders through crosses that combine different different et al., in some different genes et al., 2011). However, the are from and among have the that might be in et al., et al., et al., and et al., these that thousands of interactions are when genomes are combined by breeding. these interactions have led to which has been selected by plant breeders to desirable traits et al., 2010). these interactions of genes have a long history of food and feed the bases of these interactions are the information to a specific interactions between endogenous genes in conventional breeding do not to direct As information and methods to complex become it may be to such when GE events by breeding, it is to interactions between the events within the GE stack in a and can be developed for those specific with the historically used in conventional breeding to new traits into crop such as wide hybridization, genetic engineering a direct of a DNA that a specific into a the methods by which individual events are combined to produce a GE stack are to those used to combine multiple traits in new conventional crop varieties and two GE does not any in the genome is by two non-GE (Weber et al., the safety assessments for the individual events are to the GE The only safety question that the individual event assessments do not is that of interactions between the products of the combined transgenes. Two questions on the potential of interactions between the events in a particular GE (1) does a potential interaction between the products in each single event in the GE stack, and (2) would the potential interaction result in a food and feed safety In other are there of engineered and any interactions between these that might create A safety assessment of a crop produced by conventional breeding of parental into a GE stack can incorporate a that addresses interactions of the transgene products are and if they might food and feed safety. A for this is in which the overall development of a for potential interactions, with the and of the crop of the single and the prior food and feed safety assessments on the products. The question in the assessment is it or that the transgene expression products of the single events interact in the The only of interaction different in a GE stack from that seen in conventional breeding of non-GE plants is a metabolic or physiochemical interaction from the combination of the transgene products. other interactions are to those in bred non-GE plants. A for the safety assessment of a food and feed crop with a GE stack produced by conventional breeding of two or more events. if it is that novel interactions in the GE stack, can the interaction impact the safety of the GE This is a if there is no for a potential interaction, or if a potential interaction that does not the prior safety assessments on the individual events are for the GE a can be developed for an interaction that may food or feed further questions on the and of the A number of relevant be considered to a the presence and of interactions to a potential safety Although the of questions on the transgenes in the GE stack, these questions be to food and feed safety. Examples of questions that can be to a are in these questions on direct product interactions, expression and metabolic products of the transgenes. The same to genes expression of other such as transgenic and to the of endogenous genes. these of transgenes may expression of of other the and of by each transgene would be documented before each single event is used in be from the of the specific effects of each many products of conventional breeding of non-GE plants on known to have been from in or from et al., 2010). To the that conventional breeding has plants with associated with or in factors, there is no that metabolite have resulted in any novel to food or feed safety. In or there has not been the of novel toxins related to these metabolic of the specific of transgenes being assessment of the combined information from the single events can or a for The need for further safety assessment of the potential interaction is evaluated on a Examples of the can be used to at safety assessment are An interaction between the products of transgenes is not the single events combined in a GE stack proteins that are not known to interact or that on different metabolic pathways with no known or common metabolite between GE stacks that combine insect and herbicide tolerance are an In these crops, insect is by one or more genes toxin proteins from that are not native to but have a general history of safe use in the food as in conventional and and in GE crops. The proteins no known metabolic in plants and are in the or to tolerance is by a that an of a or that a that the of the herbicide For a herbicide tolerance stack, is there a that an interaction between these events The GE stack does not create a new The herbicide tolerance may or may not serve a metabolic in the and insect As herbicide tolerance may be engineered to be and in the or both and the protein herbicide tolerance be found in the same of the two transgenic traits the of interaction in the GE however, these proteins are not related, are not in the same metabolic and no common there is no biological pathway in which these products would or indirectly there is no or for the interaction of these proteins or their products in the GE stack that the need for a new safety evaluation The same to the stacking of transgenic with other transgenes in crops with events that have a safety assessment. the transgenes are not in the same or their products are not to the same there would be no new food or feed safety if the transgenic event the of endogenous there is no for a food or feed safety on an of the of some event combinations may have the potential to produce products that at For example, if individual events produce within metabolic pathways or produce that can for the same in a GE stack, a potential for interaction to the number of interactions, there are only a of direct interactions between metabolic and metabolic which are as through a a potential interaction does not that food or feed safety would be a of metabolites in plant pathways have been to have a role other than as in plant et al., 2000). An example a potential interaction within a pathway that does not impact food or feed safety can be found in the A in is the for and James, The product of the is used for Plant are of two subunits and two The two subunits are by different genes. In a GE stack, one event would an engineered of of higher levels of and the second event would an engineered of also of higher levels of In both single the level of is due to an level of from the would be in these traits to for an effect on In this example, the two genes would be for their direct genes expression and the proteins are in the same metabolic pathway and the same enzymatic interaction between the transgenes in these events is for the intended effect of further in a GE In this the GE stack does not a new pathway or metabolites only and effects are there is no potential impact on food or feed safety. is to a safety issue from a GE example which are produced plant metabolites in plant can be into and become toxic by by a and they in the plant response to from pests and pathogens et al., The is in the the is in the or In some the and its are in but to the of and no toxin is present in However, from insect and of enzymatic of the in the a toxic to the In this event the level of a particular that is present in the plant at resulting in a variety with to pests and Although event the level of this particular the is if found within the range of levels in this would no food or feed safety during the safety assessment of event which is also in a variety with a with enhanced that is to a The of this transgene into a host plant with levels of the particular of this no because the inserted the for toxin The safety assessment of each individual event would be to include an analysis of the safety of the event various environmental the of that enzymatic of the in the to produce a toxic would have been evaluated during the safety assessment of the individual events. However, for the of the combination of these two it is that this be more closely in the event than been with the individual events In such an additional assessment of the GE stack would be In over a of plant breeding, there are no known de novo effects from the breeding which has conventional plant breeding with a history of safety for food and feed. effects have have been can be between endogenous genes in a conventional breeding and transgenes by conventional breeding The between the endogenous genes combined conventional breeding and transgenes combined through conventional breeding is the of the transgenes and their products. This the development of food and feed safety. A safety assessment for a food or feed crop produced by conventional breeding of GE events first the likelihood of interactions if they do they might safety. the events are to no additional assessment be to a safety determination for the GE stack, because each individual event has independent safety When interactions are to the effects can be based on and safety assessment of the individual parental events. When there is a biological to an interaction, the of the interactions be evaluated to determine if there be an impact on food or feed safety. there is no impact of the interaction on food or feed no additional testing be to the GE if the identified interaction be to impact food or feed the GE stack would a food and feed on the specific interaction The need for such a further assessment and the used be on a on the specific interaction identified and into account the Codex Alimentarius principles for safety assessment (Codex Alimentarius Commission, 2009). International Life Sciences International Food and Plant and and and for and during the The also International Life Sciences and for their in this to also the of and in the of this The and would also to the for in the and for many and de de and of Standards Commission on of of of of Food and of and of of of Agriculture and and Plant Food and of and and genetically engineered genetically modified

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.018
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.043
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0030.003
Scholarly communication0.0070.004
Open science0.0040.001
Research integrity0.0180.018
Insufficient payload (model declined to judge)0.0100.007

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.299
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations46
Published2013
Admission routes1
Has abstractyes

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Same venuePLANT PHYSIOLOGYSame topicGenetically Modified Organisms ResearchFrench-language works237,207