Testing dose-dependent effects of stacked Bt maize pollen on in vitro-reared honey bee larvae
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- Steijven, K., Steffan-Dewenter, I. & Härtel, S. Apidologie (2016) 47: 216. doi:10.1007/s13592-015-0392-8
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In agricultural landscapes all over the world, honey bees are exposed to genetically modified (GM) pollen. Stacked Bt-maize varieties combine multiple Bt proteins against different insect taxa with herbicide resistance. To test for potential effects on non-target organisms, we conducted an in vitro larvae-rearing experiment where we fed increasing amounts of stacked Bt pollen to honey bee larvae. Bt pollen was equally well digested as two control maize varieties. No dose-dependent effects of Bt maize were detected in terms of survival and developmental delay. However, for prepupal weight we did find a dose-dependent response, suggesting a pleiotropic effect. Comparing this finding with the literature we conclude that the found effect is not likely to occur in a field situation. We could however show that dose-dependent effects are detectable. Our results underline the importance of testing dose-depending effects of GM plant material in an environmental risk assessment (ERA).
Keywordsenvironmental risk assessment transgenic pollen Apis mellifera ecotoxicology sub-lethal effects
Currently, one of the most common and most widely grown genetically modified organisms (GMOs) are Bt crops. Bt stands for Bacillus thuringiensis, a bacterium which expresses proteins toxic to specific insects depending on the strain (Schnepf et al. 1998). The mode of action of this protein is that it binds to a receptor in the insect’s gut, after which it starts to form pores in the gut (Schnepf et al. 1998). A development in the commercial cultivation of Bt crops is the accumulation of multiple transgenes within a so called ‘stacked’ plant. Peer-reviewed ERA studies for this kind of Bt crops are still rarely available (Hendriksma et al. 2011a, b, 2012; Schuppener et al. 2012; Niu et al. 2013; Whitehouse et al. 2014). Worldwide cropping area of transgenic crops covers 1.6 billion hectares, of which 57.4 million hectares is transgenic maize (James 2013). Since honey bees occur globally, they co-occur with many GMOs. Even though maize is a wind-pollinated plant, it has been shown that honey bees frequently forage for pollen on maize flowers (Danner et al. 2014). Pollen is the sole protein source for honey bees and it is essential for the growth of the larvae. Nurse bees are the “turntable” for proteins within the colony, they ingest pollen and feed the larvae with protein-rich jelly (Crailsheim 1990; Crailsheim et al. 1992). The larvae receive the main part of proteins via this glandular secretion, but a minor part of proteins is also provided in form of pollen grains (Haydak 1943; Babendreier et al. 2004). Since Bt protein (Cry1Ab) is not secreted via nurse bee feeding glands to the brood (Babendreier et al. 2005), larvae are only exposed to transgenic insecticidal proteins via direct consumption of transgenic plant material, i.e., Bt pollen. As the honey bee is a very important pollinator in many agro-ecosystems, it is of the utmost importance that the possible effects of GMOs on honey bees and honey bee health are thoroughly studied. Since Bt crops are targeted against the larval stages of the pest insects, and the larval phase is likely to be the most sensitive phase (Romeis et al. 2011), it is important to do controlled studies of their effects on the larvae of honey bees. It has been pointed out that the direct exposure to plant-produced Bt protein must be part of environmental safety studies of GMOs (Andow and Hilbeck 2004; Duan et al. 2010); therefore, we chose to feed Bt pollen directly. We followed the principle that the poison is the dose (Paracelsus), not the substance in itself. This principle is well implemented in ecotoxicological testing of agro-chemicals, whereas in testing GM plant material, the application of this principle is not yet standard practice. Thus, we tested the direct effect of increasing doses of Bt pollen on the development of honey bees used in an in vitro larvae-rearing method. In addition to mortality rate and prepupal weight, we included two novel sub-lethal assessment endpoints. We quantified pollen digestion to see if honey bee larvae are able to digest the stacked Bt pollen, and thus quantifying the exposure to the transgenic proteins therein. And we recorded developmental stage at the end of the experiment as a measure for developmental delay.
2 Materials and methods
2.1 In vitro larvae rearing
We conducted an in vitro larvae-rearing experiment with honey bee larvae from 11 different colonies (own apiary, University of Würzburg, Germany) with unrelated queens that were mated on site. For the first two trials (19 and 30 July 2012), we obtained first instar larvae using an artificial comb system (Cupularva queen rearing system by Nicotplast ©, Maisod, France) inside the hives, according to the method described by Hendriksma et al. (2011a). Larvae were moved to the lab on the first day after hatching, placed in sterile 48-well plates and kept in a desiccator within a brood stove (35 °C and 95 % RH). Larvae from different colonies were distributed haphazardly over the well plates. Later on in the season, (10, 11, and 25 September 2012), honey bee larvae were collected via grafting (Aupinel et al. 2005, 2009). Usually, young larvae do not directly receive pollen in their food (Malone et al. 2002), thus we started our experimental pollen treatments with third instar (L3) larvae (Hendriksma et al. 2011b). We reared a total 1,002 larvae that were divided more or less equally over the treatment groups, Table I-S in the Online Ressource shows exactly how larvae were distributed. Larvae were fed according to a modified version of the feeding protocol of Aupinel et al (2005, 2009); diet C was fed instead of diet B on day 6 (D6) of the development cycle. The artificial diets consisted out of 50 % royal jelly and 50 % sugar solution (w/w). The sugar solutions in diets A and C contained 24 % sugar with 2 % yeast extract, and 36 % sugar with 4 % yeast extract (w/w), respectively. On the first day of feeding, D4, larvae received 20 μL of diet A, on D5 larvae were not fed, from D6 until D9 larvae received an increasing amount of diet C (20, 30, 40, 50 μL, respectively) spiked with pollen. In the literature, the amount of pollen that is directly mixed into the worker jelly by nurse bees varies, probably depending on pollen type being investigated and quantification method, ranging from 1.5 to 9.4 mg per larva (Hanley et al. 2003; Babendreier et al. 2004; Hrassnigg and Crailsheim 2005; Keller et al. 2005). We fed our larvae 1, 2, 5, and 10 mg of pollen directly, to test for potential dose-dependent effects. For an overview of the feeding schedule, we refer to Table II-S (Online Ressource). Mortality was recorded until pupation. Dead larvae can be easily recognized by discolorations, or when they seized to breathe. Individuals were weighed at the end of the experiment at D11. All remaining individuals were killed by freezing them at −20 °C. Any residues that resulted from molting or defecation were carefully removed and the fresh weight of the bees was measured. Additionally, we quantified two novel, sublethal endpoints; we defined the digestion of pollen (see below) and we compared the development stages at D11. Larvae were either classified as a prepupa, or as a larva, and when they were still in the larval stage, the instar was estimated based on their size.
Five different pollen types were fed to the larvae. The stacked Bt pollen contained the events MON89034 and MON88017 in the genetic background of the variety DKc 5143. MON89034 expresses two lepidopteran-specific insecticidal proteins (Cry1A.105 and Cry2Ab2) that provide the plant resistance against the fall armyworm (Spodoptera sp), the black cutworm (Agrotis ipsilon), the European corn borer (Ostrinia nubilalis), and Corn earworm (Helicoverpa zea). The mean expression was 4.24 μg/g (min 1.55 μg/g, max 11.67 μg/g, n = 16) and 1.19 μg/g (min 0.24 μg/g, max 3.74 μg/g, n = 16) fwt in pollen for Cry1A.105 and Cry2Ab2, respectively (Hendriksma et al. 2011b). The event MON88017 expresses the protein Cry3Bb1 which offers resistance to beetles (Diabrotica spp.), and a fourth transgenic protein; CP4 EPSPS, that makes the plant tolerant to glyphosate, the active ingredient of the herbicide Roundup® (Monsanto). The mean expression of Cry3Bb1 was 6.95 μg/g in fwt pollen (min 1.11 μg/g, max 13.13 μg/g) and of CP4 EPSPS, the enzyme providing herbicide tolerance, 170 μg/g (Hendriksma et al. 2011b). Pollen from DKc5143 was used as a negative control, since DKc5143 is the near-isogenic line to the tested stacked Bt maize (DKc 5143-Bt MON89034 x MON88017). Furthermore, a third, more distant related maize variety ‘Benicia’ (Pioneer, HiBred, Johnston, Iowa, USA) and multifloral pollen were also fed to the larvae to provide a baseline (negative controls). The three maize pollen samples were collected from an experimental field near Braunschweig (Germany) and immediately frozen (Hendriksma et al. 2011b, 2013). Multi-floral pollen was collected using a pollen trap in front of two beehives in our apiary at Würzburg University (Germany). We used toxic Heliconia pollen as a positive control (Hendriksma et al. 2011b). Toxic pollen was collected from flowering Heliconia jacquinii plants, from the Botanical Garden of Würzburg University. Heliconia flowers are very wet and sticky, and extracting pollen from them is quite a strenuous exercise. During the flowering period, individual flowers with dehiscent anthers were collected twice a week and pollen was extracted. After sampling, all pollen samples were stored at −80 °C. The pollen types were fed in increasing doses: 0, 1, 2, 5, and 10 mg larva−1, fed additively over four consecutive days (D6–D9) providing a fresh portion of pollen every day. The supplied diet was completely consumed by the larvae.
2.3 Dissection of larvae and digestion rate
A subsample of three to four larvae per experimental treatment per repetition was taken at least 6 h after the last feeding on D9, resulting in a subset of 192 larvae. In the treatment groups fed with toxic pollen, most larvae had already died up to that point. We chose to not take a sub-sample of those larvae; instead, we followed the mortality of the larvae that remained until the end of the experiment. Previously frozen larvae were pinned on a paraffin preparation plate and a careful ventral dissection was performed. Both mid and hind gut were taken out entirely and suspended in 200 μL of 0.5 M glucose solution and stored at −20 °C. The content of each sample was gently pipetted up and down 10 times and vortexed for 30 s before pollen counts, to rupture the gut tissue and create a suspension with uniform distribution. A Neubauer hemocytometer with two counting chambers was used to quantify the digestion rate. For the first 50 pollen grains on a counting chamber the digestion was scored according to the remaining pollen grain in the exine; 0–10 % remaining pollen grain was scored as “fully digested”, 10–90 % remaining pollen grain is scored as “partly digested”, and more than 90 % remaining pollen grain was scored as ‘undigested’ (also see Babendreier et al. 2004). This procedure was repeated once, thus resulting in four subsamples per larva gut (two times two counting chambers).
2.4 Statistical analysis
All statistical tests were performed using R statistical software (RCoreTeam 2013). At the time the subsamples were taken to determine the digestion (D9), too few of the larvae from the toxic treatment were still alive (less than four) to be taken out of the survival experiment. Digestion rate was quantified using a weighted mean of scored digestion. The number of pollen kernels in each class (i.e., fully, partly or not digested) was multiplied by the mean digestion of that class to come to a weighted percentage as a quantification of digestion rate. Weighted average digestion was then analyzed with a linear mixed effects model (package lme4; Bates et al. 2013). Survival was compared with a Cox proportional hazards mixed effects regression (package coxme; Therneau 2012). Prepupal weight was analyzed with a linear mixed effects model (package lme4; Bates et al. 2013). Developmental delay was analyzed using a cumulative link mixed model fitted with the Laplace approximation (package ordinal; Christensen 2013). For the endpoints prepupal weight and developmental delay that were taken at the end of the experiment (D11), we did not have any values for the two highest doses toxic pollen, 5 and 10 mg, since larvae that received those amounts had already died at that point of the experiment. Pollen type and dosage were included as fixed factors. Colony background and well plate nested within date nested within grafting method (double nesting) were included as random factors. Normality and homogeneity of residuals was checked and verified for all linear regression type models. The post hoc test of the digestion analysis was done with a Tukey test, for the prepupal weight this was done with a manually constructed contrast matrix (package multcomp, Hothorn et al. 2008). Correction for multiple comparisons was done via the Benjamini Hochberg procedure (Benjamini and Yekutieli 2001).
This table compares the average weighted digestion between different pollen types that were fed by testing if the difference between two pollen types is the same as zero.
Bt_stacked–Benicia = 0
Comparator–Benicia = 0
Multi floral–Benicia = 0
Comparator–Bt_stacked = 0
Multi floral–Bt_stacked = 0
Multi floral–comparator = 0
3.3 Prepupal weight
This table shows the effects of different pollen treatments on prepupal weight.
slopeMF–0 = 0
slopeBt–0 = 0
slopeC–0 = 0
slopeBen–0 = 0
slopeTox–0 = 0
slopeBt–slopeMF = 0
slopeBt–slopeC = 0
slopeBt–slopeBen = 0
slopeBt–slopeTox = 0
3.4 Developmental delay
Environmental risk assessment of transgenic plants needs robust test approaches that allow for biologically relevant interpretations. Depending on the surrounding agricultural landscape, bee larvae are exposed to a variety of GM crop pollen quantities in the field, but a test system analyzing different amounts of GM pollen in the diet is missing in environmental risk assessment studies. Here, we used an in vitro-rearing method to study dose-dependent effects of transgenic Bt pollen on honey bee larvae. We treated Bt pollen as if it were an insecticide and administered it in field realistic, increasing doses, as is common practice in ecotoxicological studies. In addition to the assessment endpoints survival and prepupal weight, two new assessment endpoints, pollen digestibility and developmental delay, were included in the in vitro larvae rearing test system. The pollen of the insect resistant Bt maize did not show significant dose-dependent effects on survival rates, pollen digestion, and developmental delay, whereas weight did show a significant negative dose-dependent response.
Our data clearly show that honey bee larvae are able to digest the administered pollen, and as such become exposed to potentially toxic proteins therein. We found that, irrespective of the amount of pollen being fed, the maize pollen was better digested than multifloral pollen. Bt pollen was digested equally well as the other two maize pollen treatments. This is highly relevant, because the larval stage is theoretically the most Cry protein-sensitive stage during bee development (Glare and O’Callaghan 2000; Schmidt et al. 2009; Romeis et al. 2011). An absence of a detrimental effect of Bt pollen on gut functioning was recently also shown for adult nurse bees under semi-field conditions (Hendriksma et al. 2013). The microbiota in the gut of larvae and adult bees are not affected by ingestion of Bt pollen (Geng et al. 2013; Hendriksma et al. 2013).
In our in vitro study, the observed degree of digestion of pollen grains was rather low in comparison to other studies. Babendreier et al (2004) found under semi-field conditions in the gut of bee larvae that on average 74.5 % of the maize pollen grains were fully digested, which is very high compared to 6.7 % in our study. Hendriksma et al (2013) detected an overall average weighted digestion rate of 62.7 % maize pollen in adult honey bees, which is in line with what Schmidt and Buchmann (1985) described for the digestibility of a mixture of pollen of 77 %. Our results however are remarkably lower with an average weighted digestibility of 19.5 %. This could indicate that the pollen digestion capacity of honey bee larvae is limited when facing pollen amounts of up to 10 mg pollen. In contrast to field and semi-field data, our utilized pollen was hand collected (maize treatments) or caught in a pollen trap before in hive processing (multifloral pollen treatment). As a consequence, the pollen never came into contact with nurse bees, nor did it go through the stage of being stored as beebread inside the hive. Storing beebread most probably has the function of preservation and not pre-digestion (Anderson et al. 2014). However, the effects of the microbial community in beebread on the (transgenic) proteins therein are still largely unknown; hence, the true exposure of bee larvae to Cry proteins in the field is also unknown. The microbial community in the guts of honey bee larvae is known to differ from that of adult honey bees (Mohr and Tebbe 2006; Martinson et al. 2012), and it changes over time (Vojvodic et al. 2013). The exact mechanisms driving the development of gut microbiota in honey bee larvae is not yet identified (Martinson et al. 2012). The lack of contact with nurse bees could be the reason why our in vitro-reared larvae could not digest the pollen as well compared to the semi-field situation (Babendreier et al. 2004). A further implication of the lower degree of pollen digestion is that the exposure to Bt proteins also is downscaled in studies where hand-collected Bt pollen is fed. Based on the pollen digestibility in our study, the in vitro-reared larvae are only exposed to 35 % of the pollen protein content compared to bee-processed maize pollen (data from Babendreier et al. 2004). Thus, there is a big potential to underestimate possible Bt effects on bee larvae when using hand-collected pollen in an in vitro-rearing assay.
Larvae that received toxic pollen show a four times higher mortality rate than larvae that received multifloral pollen. The toxic effect became stronger at higher doses of toxic pollen, showing that dose-dependent effects are detectable in our bioassay. This highlights the general relevance of our test method for ERAs. Our data indicate that even at high doses, Bt maize pollen does not have a negative effect on the survival of honey bee larvae. Our finding is in accordance with other studies that show no impact of transgenic Bt maize pollen (Hanley et al. 2003) on larval/prepupal survival. Mortality of adult nurse bees is not adversely affected by stacked Bt maize pollen (Hendriksma et al. 2013) or Bt cotton pollen (Liu et al. 2005, 2009; Niu et al. 2013). A meta-analysis that encompassed 25 datasets also found no negative effects of transgenic Bt plant products on honey bees (Duan et al. 2008). The few studies that investigate direct effects of transgenic pollen on honey bee larvae also did not find negative effects on survival rates (Huang et al. 2004; Hendriksma et al. 2011b).
4.3 Prepupal weight
We did detect a dose-dependent negative effect of Bt maize pollen on prepupal weight in our in vitro test assay. Nevertheless, under semi-field conditions, developing brood exclusively exposed to flowering Bt maize of the same variety as in our study did not show a significant effect on hatching weight (Härtel et al., unpublished data) and similarly nurse bees did not show a reduction in body weight when exposed to purified stacked Bt proteins (Hendriksma et al. 2013). In an in vitro-rearing study that tested only a single amount of transgenic pollen (2 mg; Hendriksma et al. 2011b), no negative effect of transgenic pollen on prepupal weight was detected. Hendriksma et al. (2012) could also show that the exposure to the same purified Bt proteins, at 186 times the estimated environmental concentration (EEC), did not affect the prepupal weight of in vitro-reared larvae. This underlines the importance of directly using the transgenic plant material and testing it in a dose-depending manor. However, since hatching weight did not show any effect when bees were reared exclusively on Bt maize pollen, our highest doses fed (5 and 10 mg) probably depict worst case scenarios that are not likely to occur under field conditions. The observed sub-lethal effect on prepupal weight is most likely not related to the Bt protein itself, but rather a pleiotropic effect. The transgenic constructs in the genome of the stacked Bt maize plant might have altered the nutritional value of the pollen grain. For example, in three different transgenic maize varieties (with the events 176, Bt11, and MON810), lignin contents were demonstrably higher than in their near-isogenic comparators (Saxena and Stotzky 2001; Flores et al. 2005), and in potato, three different transgenes (GNA, Con A, CpTi) also reduced glycoalkaloid content (Birch et al. 2002). A recent study showed that stacking transgenes can reduce expression of other proteins when comparing them to the parental lines or with the isogenic line; out of 22 quantified proteins nine, other than the transgenic proteins, had lower expression levels (Agapito-Tenfen et al. 2014) which could explain our observed effect on prepupal weight. We found a sub-lethal weight reduction of 3.5 mg per 1 mg Bt pollen fed. In comparison to the positive control, this effect was more than tenfold smaller. It has to be mentioned that in our study, the other maize pollen treatments, the near isogenic pollen and the conventional pollen, also show a marginal negative dose-dependent effect on the prepupal weight (Table II), but only for the Bt treatment group did we find a significant result. We would like to point out that additional experiments on the actual exposure of honey bees to Cry proteins and possible nutritional alterations in Bt pollen are needed.
4.4 Developmental delay
Overall, our larvae developed slower than they would in the hive. None of the larvae had reached the pupal stage at the end of the experiment at D11. It is known that in vitro-reared larvae reach their maximal weight 1 day later than in larvae reared in the hive, and larvae stretch 1–3 days later compared to the in hive situation (Riessberger-Gallé et al. in Scheiner et al. 2008). We found a dose-dependent effect of delayed development in our positive control group, the toxic pollen. This shows the informative value of developmental delay as a new quantifiable, sub-lethal assessment endpoint in ERA’s. Our findings were in accordance with a study where a purified Bt protein was fed where honey bee larvae did not have a delayed development compared to the control (Lima et al. 2010).
By directly feeding pollen, we have mimicked the natural exposure route of honey bee larvae to GM proteins. We assume that exposition rates could be even higher for larvae fed with preprocessed pollen in real colonies. We further have demonstrated that dose-dependent effects are detectable with this experimental approach. Honey bee larvae had reduced prepupae weight at increasing amounts of Bt pollen. This illustrates the importance of incorporating a range of test doses when testing GM plant material in an ERA. Further studies are required to evaluate the underlying mechanism of this negative effect and its relevance for colony fitness in the field. Future in vitro larvae-rearing studies testing the effects of GM pollen (or pollen contaminated with systemic insecticides) should incorporate pollen digestibility as assessment endpoint. Our data suggest that general efforts must be made to quantify how many Bt protein effectively reach honey bee larvae, which are theoretically the most Bt-sensitive life stage of honey bee colonies. Experiments analyzing the Bt protein content in stored beebread as well as in Bt pollen administered as larval food are needed to integrate the results of laboratory studies and to adapt the experimental design for new ERA‘s.
This is the publication no. 9 produced within the framework of the project Assessing and Monitoring the Impacts of Genetically Modified Plants on Agro-ecosystems (AMIGA), funded by the European Commission in the Framework programme 7, THEME [KBBE.2011.3.5-01]. We would like to thank Harmen Hendriksma for mentoring during the begin stages of this experiment, Ulrike Rießberger-Gallé for very useful tips regarding in vitro rearing of honey bees, and Katharina Beer and Theresa Hügel for their assistance in the lab. Many thanks go out to Bernhard Hoiß, Emily Martin, Marcel Peters, and Sabine Karl for advice regarding the statistical analysis. And special thanks to Nadja Danner and Milica Laković for proofreading the manuscript.