The contribution of transgenic plants to better health through improved nutrition: opportunities and constraints
- Eduard Pérez-Massot1,
- Raviraj Banakar1,
- Sonia Gómez-Galera1,
- Uxue Zorrilla-López1,
- Georgina Sanahuja1,
- Gemma Arjó2,
- Bruna Miralpeix1,
- Evangelia Vamvaka1,
- Gemma Farré1,
- Sol Maiam Rivera3,
- Svetlana Dashevskaya1,
- Judit Berman1,
- Maite Sabalza1,
- Dawei Yuan1,
- Chao Bai1,
- Ludovic Bassie1,
- Richard M. Twyman4,
- Teresa Capell1,
- Paul Christou1, 5Email author and
- Changfu Zhu1Email author
© Springer-Verlag 2012
Received: 11 February 2012
Accepted: 2 August 2012
Published: 29 August 2012
Malnutrition is a prevalent and entrenched global socioeconomic challenge that reflects the combined impact of poverty, poor access to food, inefficient food distribution infrastructure, and an over-reliance on subsistence mono-agriculture. The dependence on staple cereals lacking many essential nutrients means that malnutrition is endemic in developing countries. Most individuals lack diverse diets and are therefore exposed to nutrient deficiencies. Plant biotechnology could play a major role in combating malnutrition through the engineering of nutritionally enhanced crops. In this article, we discuss different approaches that can enhance the nutritional content of staple crops by genetic engineering (GE) as well as the functionality and safety assessments required before nutritionally enhanced GE crops can be deployed in the field. We also consider major constraints that hinder the adoption of GE technology at different levels and suggest policies that could be adopted to accelerate the deployment of nutritionally enhanced GE crops within a multicomponent strategy to combat malnutrition.
Food security is one of the pillars of health and well-being in society because humans rely on food not only to supply energy but also for essential nutrients that maintain the immune system and keep the body in a good state of repair. Adequate nutrition therefore correlates with lower morbidity and mortality from both infectious and non-infectious diseases and is particularly important in children and pregnant women where the lack of essential nutrients can lead to irreversible physical and mental damage during development (Hoddinott et al. 2008).
Malnutrition is more prevalent in the developing world because it often reflects the lack of access to nutritious food. This in turn is frequently caused by poverty, which often occurs due to ill health and an inability to work, the typical consequences of malnutrition. Poverty, malnutrition and poor health therefore form a self-reinforcing cycle from which many people (and in some cases entire populations) find it impossible to escape (Farré et al. 2011b).
Almost 50 % of the world’s population is currently affected by malnutrition (Christou and Twyman 2004). The majority are subsistence farmers who depend entirely on staple cereal crops such as maize or rice, which are deficient in several essential nutrients (Zhu et al. 2007). The poverty-malnutrition-disease cycle needs to be broken by multipoint interventions that provide direct, effective and sustainable approaches to increase the economic welfare of the world’s poorest people, including the provision of drugs and vaccines that tackle poor health, and adequate access to nutritious food (Perseley 2000). Although there are many global initiatives promoting short and mid-term strategies that tackle poverty, food insecurity/malnutrition and disease, we need sustainable solutions that provide the means for the world’s poor to build their own healthy societies, as envisaged by the Millennium Development Goals (Yuan et al. 2011).
Strategies to tackle malnutrition fall into three major categories (Gómez-Galera et al. 2010). The most desirable approach is to increase the diversity of food intake but this is impractical in many developing-country settings, particularly for low-income populations. In some cases it may be possible to change local food-processing conventions to prevent the loss of nutrients during preparation (Hotz and Gibson 2007) or to promote certain styles of preparation that maximize nutritional bioavailability (Yang and Tsou 2006).
The second approach is to add nutrients to the diet artificially, either by providing supplements (Supplementation) or by the fortification of basic food products such as salt and flour, but it is unsustainable over the longer term because it relies on a robust distribution infrastructure and on consumer compliance (Hotz and Brown 2004). Fortification is more sustainable, and there have been remarkable successes, such as the provision of iodine-fortified salt, and wheat flour double-fortified with iron and folate (Rosenberg 2005). However, this strategy also requires government coordination and a distribution infrastructure and is therefore unsuitable for those parts of the developing world relying on subsistence agriculture.
The final strategy is known as biofortification, in which crops are modified or treated to accumulate additional nutrients at source (Zhu et al. 2007). In some cases biofortification can be achieved by adding nutrients to fertilizers, an approach that has been extraordinarily successful to increase the availability of zinc and selenium (Lyons et al. 2003). However, this is not suitable for iron, because it is immobilized in the soil (Gómez-Galera et al. 2012a), or for essential organic nutrients (vitamins and essential amino acids and fatty acids) which are the products of plant metabolism. It may be possible to increase the content of organic nutrients by conventional breeding if there is sufficient genetic diversity in existing germplasm, although it would take many generations to introgress these traits into local elite breeding varieties (Welch and Graham 2005). The alternative is genetic engineering (GE) technology, which can introduce genes from any source directly into the local varieties used by subsistence farmers, to increase the levels of organic and/or mineral nutrients. First-generation GE crops have already shown their potential to enhance agricultural productivity and reduce poverty in developing countries (Christou and Twyman 2004, Farré et al. 2010a, 2011b). A second generation of GE crops is now under development that can address nutritional requirements directly by contributing to multipoint intervention strategies (Yuan et al. 2011). As well as offering an unrestricted choice of genes for nutritional improvement, the GE approach allows nutritional traits to be targeted to specific organs (e.g., cereal seeds) and multiple traits can be combined in the same plants without complex breeding programs (Zhu et al. 2007; Naqvi et al. 2009a).
GE strategies to enhance the content of organic micronutrients
Humans can synthesize almost all the organic compounds needed for normal physiological activity but a small number of specific molecules known as essential nutrients are required in the diet (Online Resource 1). Some of these essential nutrients are amino acids or fatty acids; the rest are chemically diverse but are grouped together as vitamins. All GE strategies focusing on essential organic micronutrients involve the modulation of plant metabolism.
The reduced form of vitamin A (retinal) is required for the production of rhodopsin, which is essential for sight and also helps to maintain epithelial and immune cells. The acidic form (retinoic acid) is a morphogen in development. Humans can produce retinal and retinoic acid if provided with a source of retinol or one of its esters, which are abundant in meat and dairy products. However, retinal can also be synthesized directly from β-carotene (also known as pro-vitamin A) which is produced mainly by plants and photosynthetic microbes, but also some non-photosynthesizing organisms (Botella-Pavía and Rodríguez-Concepción 2006). Vitamin A deficiency (VAD) is one of the most prevalent deficiency diseases in developing countries, affecting more than 4 million children each year, up to 500,000 of whom become partially or totally blind (Harrison 2005).
Transgenic crops enhanced for mineral and vitamin content
Total increase (fold increase over wild type)
Maize (Zea mays)
PacrtB and PacrtI
33.6 μg/g DW (34)
Aluru et al. (2008)
Maize (Z. mays)
Zmpsy1, PacrtI, PcrtW, Gllycb
146.7 μg/g DW (133)
Zhu et al. (2008)
Maize (Z. mays)
163.2 μg/g DW (112)
Naqvi et al. (2009b)
Wheat (Triticum aestivum)
4.96 μg/g DW (10.8)
Cong et al. (2009)
Potato (Solanum tuberosum)
EuCrtB, EuCrtI, EuCrtY
114 μg/g DW (20)
Diretto et al. (2007)
Potato (S. tuberosum)
28.22 μg/g DW (6)
Lopez et al. (2008)
Potato (S. tuberosum)
60.8 μg/g DW (5.7)
Romer et al. (2002)
Potato (S. tuberosum)
35.5 μg/g DW (6.3)
Ducreux et al. (2005)
Cassava (Manihot esculenta)
21.84 μg/g DW (33.6)
Welsch et al. (2010)
Rice (Oryza sativa)
Ye et al. (2000)
Rice (O. sativa)
37 μg/g (23)
Paine et al. (2005)
Corn (Z. mays)
110 μg/g DW (6)
Naqvi et al. (2009b)
Tomato (Solanum lycopersicum)
46–111 mg/100 g FW (3–6)
Bulley et al. (2011)
Potato (S. tuberosum)
1.65 mg/g FW (3)
Bulley et al. (2011)
Rice (O. sativa)
38.3 nmol/g (100)
Storozhenko et al. (2007)
Tomato (S. lycopersicum)
25 nmol/g (25)
Storozhenko et al. (2007)
Rice (O. sativa)
19 μg/g DW in polished seeds (4.2)
Johnson et al. (2011)
Rice (O. sativa)
Gm ferritin, Af phytase, Osnas1
7 μg/g DW in polished seeds (4–6.3)
Wirth et al. (2009)
Rice (O. sativa)
Activation tagging of Osnas3
32 in μg/g DW in dehusked (2.9)
Lee et al. (2009)
Corn (Z. mays)
Gm ferritin and Af phytase
30 μg/g DW in whole seed (2)
Drakakaki et al. (2005)
Cassava (M. esculenta)
40 μg/g DW in tuber
Sayre et al. (2011)
Rice (O. sativa)
Activation tagging of Osnas2
40–45 μg/g DW in polished seeds (2.9)
Lee et al. (2011)
Rice (O. sativa)
52–76 μg/g DW in polished seeds (2.2)
Johnson et al. (2011)
Rice (O. sativa)
Gm ferritin, Af phytase, Osnas1
35 μg/g DW in polished seeds (1.6)
Wirth et al. (2009)
Cassava (M. esculenta)
Sayre et al. (2011)
Cassava (M. esculenta)
Sayre et al. (2011)
Indian Mustard (Brassica juncea)
Pilion-Smits et al. (1999)
Indian mustard (B. juncea)
LeDuc et al. (2004)
Carrot (Daucus carota)
3.9 mg/g DW (1.6)
Park et al. (2004)
Lettuce (Lactuca sativa)
18.9 mg/g DW (1.3)
Park et al. (2009)
Potato (S. tuberosum)
1.7 mg/g DW (in tuber) (3)
Park et al. (2005)
2.5 mg/g DW (3)
Kim et al. (2006)
Ascorbate (vitamin C) is an antioxidant and also cofactor of several enzymes, including those required for the synthesis of collagen, carnitine, cholesterol, and certain amino acid hormones. Vitamin C deficiency causes the ulceration disease scurvy, reflecting the breakdown of connective tissues (Bartholomew 2002).
There are several biosynthetic pathways that generate ascorbate in plants, and when ascorbate is oxidized it can be recycled through an additional pathway with glutathione as the reductant (Online Resource 3). The amount of ascorbate accumulating in plants can therefore be enhanced not only by increasing its biosynthesis but also the rate at which the molecule is recycled. In the first approach, the overexpression of L-gulono γ-lactone oxidase (GLOase) in lettuce resulted in the accumulation of up to 580 nmol/g fresh weight of ascorbate, a sevenfold improvement (Jain and Nessler 2000). A twofold increase was achieved by expressing the same gene in potato tubers (Hemavathi et al. 2010). Multivitamin maize expressing the rice dhar gene from the ascorbate recycling pathway accumulated six times the normal level of ascorbate (Naqvi et al. 2009b, Table 1).
Folate (vitamin B9) is a tripartite molecule combining pterin, p-aminobenzoate (PABA) and one or more glutamate moieties, which are derived from three separate metabolic pathways in different subcellular compartments (Online Resource 4). Folate is the source of tetrahydrofolate, which is essential for DNA synthesis and many other core metabolic reactions. In adults, folate deficiency causes macrocytic anemia and elevated levels of homocysteine, but the impact on pregnant women is much more severe, leading to the neural tube defect spina bifida in the fetus (Scholl and Johnson 2000).
Moderate increases in folate levels have been achieved by modifying the pterin and PABA pathways individually, but increasing the flux through one pathway only reveals bottlenecks in the other. Díaz de la Garza et al. (2007) crossed two transgenic tomato lines, one expressing GCH1 which enhanced the cytosolic (pterin) branch, and the other ADCS1 which enhanced the PABA branch. In the individual lines, the maximum enhancement was double the normal level of folate. However, combining the two transgenes in a single line released the bottlenecks in both branches simultaneously and achieved a 25-fold increase in folate levels. The same strategy in rice endosperm resulted in a 100-fold increase in folate levels because the base levels were lower than in tomato, indicating how powerful this strategy could be in developing-country settings where rice is the staple diet (Storozhenko et al. 2007, Table 1).
Vitamin E comprises eight related molecules known as tocochromanols. These are formed from a chromanol head decorated with methyl groups (to yield α, β, γ, and δ derivatives) plus either a phytyl tail to produce the tocopherols, or a geranylgeranyl tail to produce the tocotrienols (DellaPenna and Pogson 2006). The tocochromanols are powerful antioxidants that protect fatty acids, low-density lipoproteins (LDLs) and other components of cell membranes from oxidative stress.
Plants can be engineered to accumulate higher levels of vitamin E by overexpressing genes involved in tocochromanol synthesis (Online Resource 5). This can be achieved either by increasing the total tocochromanol content or skewing tocochromanol synthesis toward the more potent isomers, particularly α-tocopherol which is absorbed more efficiently by humans. For example, Cho et al. (2005) increased the α/γ tocopherol ratio in transgenic lettuce plants by expressing the Arabidopsis γ-tocopherol methyltransferase (γ-TMT), and achieved near complete conversion to α-tocopherol in the best-performing transgenic lines. Similarly, Tavya et al. (2007) reported a 10.4-fold increase in α-tocopherol levels and a 14.9-fold increase in β-tocopherol levels in soybean seeds expressing Perilla frutescens γ-TMT. The constitutive expression of two Arabidopsis cDNA clones encoding ρ-hydroxyphenylpyruvate dioxygenase (HPPD) and 2-methyl-6-phytylplastoquinol methyltransferase (MPBQ MT) increased the tocopherol content by threefold in transgenic maize (Naqvi et al. 2011). Overexpression of Arabidopsis HPPD in rice grains shifted tocopherol synthesis from the γ to the α form with no increase in absolute tocopherol levels (Farré et al. in press).
Essential amino acids
Nine of the 20 standard amino acids are constitutive essential nutrients because they cannot be synthesized de novo by humans, and others are essential under certain circumstances, such as child development or in the context of metabolic disorders. The most relevant examples are lysine, threonine, tryptophan, methionine and cysteine because staple cereals are poor sources of lysine and threonine, and staple legumes are poor sources of tryptophan, methionine and/or cysteine (Zhu et al. 2007).
Two GE strategies have been used to tackle amino acid deficiency: (1) engineering plants to produce proteins containing essential amino acids; and (2) engineering amino acid metabolism to increase the availability of essential amino acids in the free amino acid pool. Lysine was the first target in both strategies. One of the earliest attempts to overcome the poor nutritional value of cereal proteins was the expression of lysine-rich pea legumin in cereal endosperm, which resulted in transgenic rice and wheat grain protein containing up to 4.2 % lysine (Sindhu et al. 1997; Stöger et al. 2001). More significant improvements were achieved by adding lysine residues to endogenous cereal storage proteins for example, 12 residues added to barley hordothionine to produce HT12, and eight added to barley high lysine protein to produce HL8 (Jung and Carl 2000). When expressed in maize along with the bacterial enzyme dihydrodipicolinate synthase (DHPS) the total lysine content was four times the normal amount, accounting for 0.8 % of total protein composition. Another lysine-rich storage protein (sb401) increased the lysine content in maize seeds by 55 % (Yu et al. 2004). Similar improvements have been achieved by expressing lysine-rich animal proteins such as porcine α-lactalbumin, which increased the lysine content in maize by 47 % (Bicar et al. 2008). Maize seeds containing up to 26 % lysine have also been produced by expressing a heterotypical Arabidopsis lysyl tRNA synthetase, which inserts lysine residues in place of other amino acids during the synthesis of seed storage proteins (Wu et al. 2007). Finally, the lysine content of maize has been increased by using RNA interference to silence one of the zein storage protein genes allowing the protein complement to be filled with lysine-rich storage proteins (Segal et al. 2003).
One of the success stories in terms of storage protein engineering involves the expression in staple crops of Amaranthus hypochondriacus seed storage protein, which is rich in all the essential amino acids and has a composition close to ideal for humans. Transgenic maize seeds expressing the AH protein contained up to 32 % more protein than wild-type seeds and contained higher levels of lysine, tryptophan and isoleucine (Rascón-Cruz et al. 2004). Similarly transgenic potato tubers expressing AH contained 45 % more protein than normal (Chakraborty et al. 2000) and transgenic wheat seeds contained nearly 2.5 % AH as a proportion of total seed protein, increasing the levels of lysine to 6.4 % and tyrosine to 3.8 % (Tamás et al. 2009).
Expression of feedback-insensitive dihydrodipicolinate synthase (DHPS) in maize increased lysine levels from <2 % to ~30 % of the free amino acid pool, with concomitant increases in threonine (Frizzi et al. 2008). The key rate-limiting enzyme in tryptophan synthesis is anthranilate synthase, which catalyzes the conversion of chorismate to anthranilate, and tryptophan levels in rice have been increased more than 400-fold by expressing a feedback-insensitive version (Wakasa et al. 2006). Tryptophan levels also increased 30-fold in potato tubers (Yamada et al. 2004) and 20-fold in soybean seeds (Ishimoto et al. 2010) expressing feedback-insensitive AS.
Essential fatty acids
Humans can synthesize most fatty acids de novo but the health-promoting ω-3 and ω-6 polyunsaturated fatty acids (PUFAs) are exceptions that need to be sourced from the diet (Djoussé et al. 2011). Once acquired, simple ω-3 PUFAs such as α-linolenic acid can be converted into more complex very-long-chain polyunsaturated fatty acids (VLC-PUFAs) such as arachidonic acid (ARA), and these can be converted back to the simpler species. This interconversion means the class rather than individual PUFAs is regarded as essential. The same principles apply to ω-6 PUFAs. The essential fatty acids are abundant in fish, shellfish, nuts and leafy vegetables but they are not present in cereals (Farré et al. 2011b).
The fatty acid biosynthesis pathway in plants was modulated to produce ω-3 and ω-6 PUFAs by introducing the microbial enzymes responsible for a sequence of fatty acid desaturation and elongation reactions (Domergue et al. 2005). The key targets are linoleic acid and α-linolenic acid, and the VLC-PUFAs ARA, eicosapentenoic acid (EPA) and docosahexenoic acid (DHA; Zhu et al. 2007). The biosynthesis of VLC-PUFAs has been achieved by expressing microbial desaturases and elongases in linseed, soybean and mustard (Abbadi et al. 2004; Kinney et al. 2004; Wu et al. 2005) with the experiments in mustard demonstrating the feasibility of a stepwise approach to first optimize the accumulation of ω-3 fatty acids (i.e., EPA rather than ARA) and then to convert this to DHA, resulting in the accumulation of ARA (4 %), EPA (8 %) and DHA (0.2 %). These successes have led to the long-term goal of producing such fatty acids in transgenic oilseed crops (Abbadi et al. 2004; Domergue et al. 2005).
GE strategies to enhance the content of mineral micronutrients
Unlike organic nutrients, which are the product of plant metabolism, inorganic nutrients (minerals) must be taken up by plants from the environment. GE approaches to enhance mineral nutrients are therefore diverse, focusing on strategies such as increasing the solubility of these nutrients in the rhizosphere, mobilizing them in the plants, transporting them to storage organs, increasing the storage capacity of the plant, and maximizing bioavailability (Gómez-Galera et al. 2010). The four most significant minerals in terms of nutrient deficiency are iron, zinc, selenium and calcium. Other minerals, while no less essential, are so abundant and ubiquitous that deficiency disorders are very rare. It is not uncommon for populations to be deficient for several of the above minerals at the same time so there has been recent interest in the development of crops tailored to provide all these limiting nutrients simultaneously (Zhu et al. 2008; Naqvi et al. 2009a).
Iron deficiency is the most prevalent form of mineral malnutrition in the world, with more than 2 billion people at risk. The primary clinical manifestation is anemia, and it is estimated that more than half of all cases of anemia worldwide are caused by a lack of iron (Benoist et al. 2008).
Biofortification offers a more sustainable approach for subsistence farmers and many different strategies have been investigated (Drakakaki et al. 2005; Wirth et al. 2009). One of the major challenges with iron is that its mobility in the rhizosphere is dependent on the soil conditions, because only the ferrous form (Fe2+) is soluble and bioavailable to plants whereas the ferric form (Fe3+) is sequestered into insoluble complexes with soil particles (Gómez-Galera et al. 2012a). Plants have evolved two counterstrategies, one of which is to secrete reductases into the soil to convert ferric iron into the soluble ferrous form, and the other is to release chelating agents known as phytosiderophores (PS) that can be reabsorbed by the roots as PS-Fe3+ complexes. Iron levels in plants can therefore be improved by increasing the export of both reductases and phytosiderophores, for example, by overexpressing the enzymes nicotianamine synthase (NAS) and/or nicotianamine aminotransferase (NAAT) which are involved in phytosiderophore synthesis (Zheng et al. 2010; Johnson et al. 2011). For example, transgenic rice plants expressing the NAS genes Osnas1, Osnas2 or Osnas3 accumulated up to 19 μg/g of iron in the endosperm (Johnson et al. 2011, Table 1). Additional strategies include the overexpression of iron transporter proteins (many of which also co-transport zinc, see below), the overexpression of ferritin (which stores large amounts of iron in a bioavailable form) and the expression of phytase, which breaks down phytate and makes the stored iron easier to absorb in the human digestive system (see section on antinutritional factors, below).
Zinc is required as a cofactor in many different enzymes and is also a coordinating ion in the DNA-binding domains of transcription factors. Zinc deficiency affects more than 2 billion people worldwide predominantly in developing countries and manifests as a spectrum of symptoms including hair loss, skin lesions, fluid imbalance (inducing diarrhea), and eventually wasting of body tissues (Hambidge and Krebs 2007).
Cereal grains are poor sources of zinc, but because this mineral is more soluble than iron and easier to take up from the soil, GE strategies to increase the zinc content of plants have concentrated on transport and accumulation (Palmgren et al. 2008). Many phytosiderophores and transporters can interact with both iron and zinc so the expression of NAS/NAAT and transporters such as Osysl15 and Osirt1 in rice can increase the levels of both minerals (e.g., Lee et al. 2011, Table 1).
Selenium is a component of enzymes and other proteins that contain the amino acids selenocysteine and selenomethionine, which are required for the interconversion of thyroid hormones; therefore selenium and iodine deficiency can have similar symptoms (Khalili et al. 2008). Selenium deficiency is rare at a population level because the mineral is taken up efficiently from the soil, and fertilizers with selenium have proven successful to prevent deficiency in areas where the soil is depleted (Lyons et al. 2003). GE strategies to increase selenium levels therefore focus on storage and accumulation. For example, the expression of Arabidopsis ATP sulfurylase in mustard increased the selenite content by up to threefold in roots and shoots (Pilion-Smits et al. 1999, Table 1).
Soluble calcium is an electrolyte and signaling molecule, but most of the calcium in the human body is present in its mineralized form as a component of bones and teeth. The replenishment of serum calcium by bone resorption is slow, so dietary calcium deficiency in the short term can lead to electrolyte imbalance and over the long term can cause osteoporosis. The risk is higher in children as the rapid bone growth that occurs during childhood results in a high demand for calcium. Calcium-rich dairy products tend to be inaccessible in developing-country settings so many children and adults are malnourished (Dayod et al. 2010). Root vegetables and leafy crops such as lettuce are good sources of calcium although in some vegetables the high content of phytate and oxalate makes the calcium difficult to absorb (Jeong and Guerinot 2008). GE strategies to increase the calcium content of plants include the expression of calcium transporters such as AtCAX1, which increased the calcium content of carrots and potatoes by up to threefold (Connolly 2008; Park et al. 2005, Table 1).
Nutrient enhancers and anti-nutrients
A number of compounds are known to enhance or inhibit the absorption of plant minerals by the human digestive system, and mineral bioavailability can therefore be increased by promoting the accumulation of enhancers or eliminating anti-nutrients (Gibson 2007). Some key nutrients act as enhancers and therefore provide dual benefits, for example, ascorbate and β-carotene promote iron uptake by chelating and/or reducing Fe3+ and preventing interactions with phytate and polyphenols (García-Casal et al. 2000).
Phytic acid is a key anti-nutrient because it is abundant in cereals, legumes and oil seeds where it binds all the principal mineral nutrients and sequesters them into stable complexes that cannot be absorbed (Lopez et al. 2002). The amount of phytic acid in seeds can be reduced by silencing genes involved in its biosynthesis, such as myo-inositol-1-phosphate synthase (Nunes et al. 2006) or 1D-myo-inositol 3-phosphate synthase (Kuwano et al. 2009). Expression of a thermostable recombinant fungal phytase increased iron bioavailability in wheat (Brinch-Pedersen et al. 2006) and maize (Chen et al. 2008). Transgenic maize plants expressing phytase may well be the first second-generation GE crop to reach the market (Chen et al. 2008).
Cassava is an important staple crop in sub-Saharan Africa but the high content of the cyanogenic glycosides linamarin and lotaustralin means it must be processed before consumption (Jørgensen et al. 2005). Two genes encoding cytochrome P450s (CYP79D1 and CYP79D2) catalyze the first step in linamarin and lotaustralin synthesis, and suppression of these genes has reduced linamarin by 94 % (Siritunga and Sayre 2003). RNA interference targeting the same genes reduced the cyanogenic glucoside content by 99 % (Jørgensen et al. 2005).
Risk assessment and regulation of GE crops
Genetically engineered (GE) crops must undergo a risk assessment to assess their potential impact on human health and the environment before they receive market authorization (EFSA 2010). This involves detailed molecular characterization, comparison to conventional crops of the same species, assessment of potential toxicity/allergenicity and nutritional analysis (USFDA 1992; EFSA 2011). In most parts of the world, authorization follows automatically from a positive evaluation, but the decision-making process in the European Union (EU) has become politicized and it is now almost inevitable that regulatory approvals are ignored and overruled (Sabalza et al. 2011; Ramessar et al. 2010).
There are two key differences between the regulatory systems adopted in the EU (where few GE crops are approved) and in the US, where GE agriculture is strongly established and has an unblemished 15-year safety record (Ramessar et al. 2009). The first is that the US system focuses on the safety of the product compared to a conventional counterpart, whereas the EU system focuses instead on the process. This leads to two major conflicts of logic: (1) identical GE and conventional crops are subject to different tiers of regulation; and (2) imported GE products are regulated differently because they are not grown in the EU and are not under regulations applied to cultivation, that is, identical GE products are subject to different tiers of regulation according to origin. The second difference is that the US system is based on substantial equivalence, that is, a GE crop is approved if it is largely the same as its conventional counterpart and that the differences do not introduce clearly defined risks that can be demonstrated experimentally. In contrast, the EU system is based on the precautionary approach, which essentially means that a GE crop is not approved unless the absence of risk can be demonstrated. Since it is impossible to prove that a risk is zero (as opposed to vanishingly small) this creates an effective moratorium on GE agriculture in Europe.
The risk assessment of GE crops focuses on two main aspects—the potential effect on the environment and the potential effect on human health through consumption. Ostensibly the assessment criteria should be based on rational scientific premises but there remain several key areas where arbitrary factors are included, for example, the risk of gene transfer from plants to microbes in the environment, which is too low to quantify because there is no evidence for this process throughout millions of years of evolution yet it cannot be proven to be zero (Ramessar et al. 2007; EFSA 2010). Even EFSA itself acknowledges this inconsistency yet the requirement persists (EFSA 2009). It is also necessary to determine the risk posed by GE plants, their pollen and residues to agricultural workers when no adverse effects have been reported after 15 years of GE agriculture in the US, Argentina, Brazil, China and India, whereas similar risk assessments are not required for conventional crops, even those known to produce potentially harmful products such as alkaloids in tobacco and erucic acid in rapeseed and mustard oil (EFSA 2010).
GE crops must also undergo toxicological analysis to prove the absence of unintended effects using animal models (usually rodents) and this may be extended from acute tests to multigenerational chronic toxicity/reproductive tests if deemed appropriate (EFSA 2011).
The best known example of a nutritionally enhanced crop is Golden Rice (Ye et al. 2000), which was developed in 1999 but has been mired in regulatory bureaucracy ever since despite the successful completion of multiple safety assessments in silico, in vitro, in animal models and in human trials (Tang et al. 2009). Golden Rice therefore provides an excellent example of the major deficiency in current regulatory processes, that is, that they focus on the risks rather than a risk–benefit analysis (Kowalski 2007). Genetic engineering reduces the time and cost required for developing plants enhanced with one or several traits, but these savings are compromised by the long and costly regulatory process that is not applied to conventional varieties even if they incorporate exactly the same traits and use similarly “unnatural” processes such as forced hybridization or chemical mutagenesis (Sabalza et al. 2011).
The ultimate success of biofortification can only be judged by its impact on human health and nutrition after deployment (König et al. 2004). The anti-nutritional factors discussed earlier prevent the digestion, absorption and/or utilization of nutrients, so GE crops must undergo bioavailability studies to predict their impact at the population level, and this is also an important part of the regulatory process (Hirschi 2008).
The bioavailability of micronutrients in a staple crop depends on overlapping diet and host-related factors such as co-consumed foods, the geographical region, and the efficiency with which individual consumers absorb certain nutrients (Gibson 2007). Diet-related factors, which predominantly reflect interactions among micronutrients and other organic compounds, have a profound effect on the efficiency of a nutritionally enhanced crop (Graham et al. 2001). Such factors include the chemical form (speciation) of the nutrient, for example, selenomethionine is a more bioavailable form of selenium than any inorganic source (Combs 2001) and heme–iron from meat is much more bioavailable than the non-heme iron from cereals and legumes (Monsen and Balintfy 1982).
Constraints preventing adoption
Nutritionally enhanced GE crops have an enormous potential to tackle poverty, malnutrition and ill health particularly in the developing world, but there are several constraints preventing their adoption, cultivation and use. The development of crops with higher levels of key nutrients requires the simultaneous transfer and expression of multiple transgenes in local varieties, which may be recalcitrant to GE approaches. This requirement becomes even more complex if several nutritional components are addressed at the same time (Naqvi et al. 2009a, 2010; Zhu et al. 2008; Farré et al. 2011a).
As well as technical limitations, a further constraint to the adoption of nutritionally enhanced GE crops is their potential socioeconomic impact. The first generation of GE crops provided substantial economic benefits for farmers in developed and developing countries (Qaim 2009; Brookes and Barfoot 2006) and second-generation crops are expected to provide similar socio-economic benefits although favoring the consumer as well as the producer (Qaim et al. 2007). Even so, the costs of development (predominantly regulatory compliance) can exceed $15 million (Kalaitzandonakes et al. 2007) which blocks the approval pathway de facto for public sector institutions and small and medium companies that lack the financial resources of the agro-industry. Only few major companies have the economic muscle to complete the regulatory process, and R&D investment will not be recouped from humanitarian projects (Lemaux 2009). This limits the incentive to invest in GE products tailored for developing countries (Qaim et al. 2007; Qaim 2009).
EU legislation for the approval of GE crops (Directive 2001/18/EC and Regulation EC 1829/2003) also acts as a constraint because it is highly politicized and driven by single-interest groups such as the organic farming lobby and environmental activists rather than rational scientific discourse (Apel 2010). The regulatory pipeline requires years to negotiate even if the applicant has unlimited funds and precise legal knowledge, and acts as a barrier for testing, scientific investigations and commercial production (Kalaitzandonakes et al. 2007; Gómez-Galera et al. 2012b).
Perhaps the most insidious problem with the adoption of nutritionally enhanced GE crops is that this potentially life-saving scientific breakthrough has become the flagship campaign for activists, who appear to have garnered public opinion and thus have a disproportionate effect on politicians, who in turn determine the rules followed by the regulators. The unfortunate consequence of this negative cycle is that the regulations are changing under political influence to make any kind of GE agriculture almost impossible in Europe. For example, the European Parliament recently published a proposal to allow EU member states the opportunity to opt out of GE agriculture without any scientific justification, ostensibly to prevent single member states vetoing cultivation throughout Europe. However, the politicians have overlooked the negative impact this decision would have on the acceptability of GE crops to the public (Sabalza et al. 2011; Morris and Spillane 2010). The EU already labors under scientifically unjustified coexistence measures, including excessive isolation distances for GE crops and unmanageable adventitious presence thresholds that cause trade conflicts with other countries (Ramessar et al. 2009, 2010). Within this hostile environment there is no voice for scientists and indeed no voice for science, a worrying glimpse of a future dark age where superstition and hearsay are more important than facts, and those that bear the consequences are the world’s poor who do not have the luxury of choice and will continue to suffer from malnutrition for the foreseeable future (Farré et al. 2010a, 2011b).
The world population will reach 10.5 billion in 2050, with most of the population increase in developing countries. Global food production will need to increase by 70 %, including 3 billion tons of cereals, which means global rice and maize production must double even as the land available for agriculture shrinks in the face of urbanization, land degradation and dwindling access to water (FAO 2009). Future food security therefore depends on our ability to improve the quality as well as the quantity of food and to reduce the global health burden of micronutrient deficiency disease. This will require multidisciplinary collaboration between stakeholders such as farmers, health providers, nutrition experts, plant breeders, the food and agrochemical industries, the biotechnology industry, governments and NGOs to reduce the impact of malnutrition on human populations (Martin et al. 2011).
We also need to increase awareness of the environmental and health benefits of GE crops, which are rarely discussed in the media, such as reduced pesticide and fossil fuel usage in agriculture, reduced mycotoxin levels, and reduced exposure to toxic agrochemicals (Raybould and Quemada 2010; Sanahuja et al. 2011). For example, the planting of Bt cotton has reduced pesticide applications by 50 % in India, avoiding up to 9 million poisoning incidents and saving $51 million (Kouser and Qiam 2011). Bt corn also has lower levels of mycotoxins (e.g., fumonisin), saving $23 million annually in crop losses (Wu 2006). Nutritional traits therefore need to be combined with first-generation input traits for maximum benefit (Sun et al. 2004).
Another key future development will be the provision of incentives to develop nutritionally enhanced orphan crops, that is, crops such as finger millet, cassava and fonio that are grown on a small scale in niche geographical areas (Online Resource 6). These crops have not been studied in detail and generally produce lower yields and nutritionally poorer or more toxic products than staple crops (Tadele 2009). With sufficient targeted resources they could yet be developed into alternative staples for niche geographical areas (Naylor et al. 2004).
Many developing countries have followed EU protectionism and banned GE products due to consumer and environmental concerns, for example, the moratorium on GE eggplant in India (Chong 2011), putting millions of lives at risk from malnutrition and the continuous indiscriminate use of toxic pesticides (Ramaswami 2007). There needs to be a shift from risk assessment to risk–benefit analysis, which is applied in all other technology areas (Ramessar et al. 2009). We need to establish a globally harmonized risk–benefit system that is based on traits rather than events (the product not the process). Furthermore, the Cartagena Protocol on Biosafety needs to be redesigned to reflect the reality of global food security challenges and to address the issue of GE crops specifically, as the current protocol does not consider GE foods that are outside the definition of a living modified organism. We need to remove the precautionary approach and other non-science-based doctrines in the context of nutritionally enhanced crops to ensure they can be deployed where they are needed the most and where they can get on with the important task of saving lives.
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