Honeybees (Apis mellifera) are constantly exposed to a wide variety of environmental stressors such as parasites and pesticides. Among them, Nosema ceranae and neurotoxic insecticides might act in combination and lead to a higher honeybee mortality. We investigated the molecular response of honeybees exposed to N. ceranae, to insecticides (fipronil or imidacloprid), and to a combination of both stressors. Midgut transcriptional changes induced by these stressors were measured in two independent experiments combining a global RNA-Seq transcriptomic approach with the screening of the expression of selected genes by quantitative RT-PCR. Although N. ceranae-insecticide combinations induced a significant increase in honeybee mortality, we observed that they did not lead to a synergistic effect. According to gene expression profiles, chronic exposure to insecticides had no significant impact on detoxifying genes but repressed the expression of immunity-related genes. Honeybees treated with N. ceranae, alone or in combination with an insecticide, showed a strong alteration of midgut immunity together with modifications affecting cuticle coatings and trehalose metabolism. An increasing impact of treatments on gene expression profiles with time was identified suggesting an absence of stress recovery which could be linked to the higher mortality rates observed.
Citation: Aufauvre J, Misme-Aucouturier B, Viguès B, Texier C, Delbac F, Blot N (2014) Transcriptome Analyses of the Honeybee Response to Nosema ceranae and Insecticides. PLoS ONE 9(3): e91686. doi:10.1371/journal.pone.0091686
Editor: Guy Smagghe, Ghent University, Belgium
Received: November 8, 2013; Accepted: February 14, 2014; Published: March 19, 2014
Copyright: © 2014 Aufauvre et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the French Centre National de la Recherche Scientifique APEGE program (ParaTox-Synergie project) and the French Agence Nationale de la Recherche (BEELOSS program, grant no. ANR-12-BSV3-0020). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Honeybees (Apis mellifera), like any living organism, are constantly exposed to a wide variety of biotic and abiotic stressors. Among those, pathogens and pesticides represent important variables influencing honeybee survival –. The microsporidian parasite Nosema ceranae, one of the most common pathogens of the honeybee, is a unicellular eukaryote and invasive intracellular parasite infecting A. mellifera midgut and inducing a disease named nosemosis . This worldwide emerging parasite presents a high prevalence in honeybee colonies , . N. ceranae infection has been shown to affect the honeybee health through immune suppression –, energetic stress –, degeneration of gut epithelial cells ,  and reduction of lifespan , ,  and therefore might lead to colony depopulation .
Honeybees are also frequently exposed to neonicotinoid and phenylpyrazole insecticides which are neurotoxic compounds intensively used on crops worldwide against arthropod pests , . Inside their colonies, honeybees can be orally or topically exposed to these insecticides as diverse matrices (i.e. pollen, honey, wax) can be contaminated with low concentrations of these compounds –. Nonetheless, chronic exposure to low doses of neonicotinoids and phenylpyrazoles can have sublethal effects on honeybee ,  such as impairment on cognition – and flight behaviour –. Moreover, low doses of the phenylpyrazole fipronil or the neonicotinoid imidacloprid can lead to a significant decrease in honeybee survival following chronic exposure –.
Environmental stressors might interact with each other and potentiate their effects on organisms’ health and survival , . Interactions between stressors in honeybees may be partly responsible for the severe colony losses recorded worldwide for more than ten years –. N. ceranae and insecticides were shown to act synergistically on the reduction of the honeybee lifespan. Synergistic interaction is defined as a combination of stressors that results in a greater effect than expected from cumulative independent exposures . A synergistic effect on mortality was observed in honeybees co-exposed to Nosema spp. spores and imidacloprid . N. ceranae and fipronil combinations also led to a synergistic effect on the honeybee mortality, whatever the sequence of exposure to stressors , .
Only few data have been collected regarding the molecular honeybee response to N. ceranae and insecticides and none to their combination. In insects, the immune and detoxification systems respond quickly to chemical and biological stresses  and are well expressed in the gut ,  given that this organ is the site of exposure to many stressors. In honeybee, the midgut is the site of infection by N. ceranae but also the main site of exposure to orally administered chemicals. Our objective was to investigate the honeybee response to biotic and abiotic environmental stressors by measuring the midgut transcriptional changes induced by the parasite N. ceranae and one neurotoxic insecticide (fipronil or imidacloprid), alone or in combination. For this purpose, we performed two independent experiments combining a global RNA-Seq transcriptomic approach (Exp. 1) with the screening of the expression of selected genes by quantitative RT-PCR (Exp. 2). The global RNA-Seq approach allowed the identification of several genes of interest which were further analysed by quantitative RT-PCR in Exp. 2, together with genes chosen from the available literature.
Materials and Methods
Bees, Parasites and Insecticides
Experiments 1 and 2 were performed in September 2012 and April 2013 respectively, with Apis mellifera emerging honeybees taken from different colonies of the same apiary at the Laboratoire Microorganismes : Génome et Environnement (UMR 6023, Université Blaise Pascal, Clermont-Ferrand, France). Frames of sealed brood were placed in an incubator in the dark at 33°C under humidified atmosphere. Emerging honeybees were collected and distributed into different experimental groups of 165 and 140 individuals for Exp. 1 and Exp. 2 respectively and placed in cages. In order to mimic the colony environment, a 5 mm piece of Beeboost (Phero Tech Inc.) releasing 5 queen’s mandibular pheromones was placed in each cage. During all the experiment, honeybees were fed ad libitum with 50% (w/v) sugar syrup supplemented with 1% (w/v) Provita’Bee (Vetopharm Pro). Every day, feeders were replaced, dead bees were counted and removed, and the sucrose consumption was quantified. Bees were either not treated (control), infected with N. ceranae, chronically exposed to low concentrations of an insecticide (fipronil or imidacloprid), or exposed to both N. ceranae and insecticide (fipronil or imidacloprid).
N. ceranae spores were obtained according to Vidau et al. (2011) . The spore concentration was determined by counting using a haemocytometer chamber. N. ceranae species was confirmed by PCR according to Martín-Hernández et al. (2007) . Emerging honeybees were individually infected by feeding with 125,000 spores of N. ceranae in 3 μL of 50% sucrose solution using a micropipette. Control honeybees were treated with a sucrose solution devoid of N. ceranae spores.
Stock solutions of fipronil (1 or 2 g/L for Exp. 1 and Exp. 2 respectively) and imidacloprid (2 g/L) were prepared in DMSO and diluted in sucrose to a final concentration of 1.3 μg/L (Exp. 1) or 2 μg/L (Exp. 2) for fipronil and 2 μg/L for imidacloprid with 0.1% DMSO (v/v). Emerging honeybees were exposed ad libitum to the contaminated feeding syrup for 7 days. The insecticide consumption was quantified by measuring the daily amount of contaminated syrup consumed per cage reported per living honeybee. Control honeybees were fed ad libitum with 0.1% DMSO-containing sugar syrup.
Honeybee midguts were dissected on ice, pooled and immediately homogenized in 400 μL TRIzol Reagent (Life Technologies) using first a microtube pestel and then a BioSpec Mini-BeadBeater (3 pulses for 2 min at 30 Hz) after addition of 150 mg of 0.5 mm glass beads. Following phase separation according to the manufacturer, the aqueous phase was supplemented with 0.015 volume of β-mercaptoethanol and 1 volume of 70% ethanol and transferred to an RNeasy spin column (RNeasy Mini Kit, Qiagen). Total RNA was isolated according to the kit instructions. Genomic DNA was removed using the RNA-free DNase set (Qiagen) twice during the RNA extraction. RNA was quantified by spectrophotometry using the ND-1000 (Nanodrop).
RNA-Seq Analysis of Differentially Expressed Genes
Two RNA samples were extracted for each experimental group from pools of 3 midguts. RNA quality and concentration were checked using a RNA 6000 Nano Chip on the 2100 Bioanalyzer (Agilent Technologies). Six micrograms of each RNA sample were provided to Montpellier GenomiX (MGX, Institut de Génomique Fonctionnelle, Montpellier, France) for an additional RNA quality control and for library preparation and sequencing (50 bp single-end reads) on an HiSeq 2000 (Illumina) following the manufacturer’s protocol. Image analyses and base-calling were conducting using the HiSeq Control Software 220.127.116.11 and RTA component 18.104.22.168 (Illumina). Sequences were mapped on the Apis mellifera genome (version Amel_4.5 downloaded from NCBI), allowing up to two mismatches in alignments, and tags that matched predicted transcripts were counted using CASAVA 1.8.2 (Illumina).
The R package DESeq was used to normalize data and determine which genes were differentially expressed among treatments . Genes were considered to be differentially expressed between two treatments at an adjusted p-value <0.1. The p-values were adjusted for multiple testing with the Benjamini-Hochberg procedure which controls for false discovery rate. A principal component analysis (PCA) was performed under PAST  to evaluate the samples distribution according to their expression profiles. This analysis was performed using the log of normalized data corresponding to the 3001 genes showing an adjusted p-value <0.1 in at least one pairwise comparison.
Quantitative Real-time PCR
cDNA synthesis was performed in a 20 μL reaction containing 0.5 μg of total RNA, 0.5 μg of oligo(dT)12–18 primers (Life Technologies), 0.5 mM of each dNTP and 200 U of SuperScript III Reverse Transcriptase (Life Technologies).
All real-time quantitative PCR analyses were performed in 96-well plates on a Mastercycler ep Realplex2 thermocycler (Eppendorf) monitored by the Realplex software (version 1.5) using the primers and conditions listed in Table S1. All primer sets, whether they were already published or newly designed, have been validated according to their specificity, linearity, efficiency and amplification reproductibility (Table S1). qPCR reaction mixtures consisted in 5 μL of 1∶16 diluted cDNA, the appropriate concentration of each primer and 10 μL of 2X Absolute Blue QPCR SYBR Green Mix (Thermo Scientific) in a final volume of 20 μL. Negative controls (without cDNA) were included in each reaction set. The PCR program consisted in an initial step at 95°C for 15 min, and 40 cycles of 95°C for 15 s, specific annealing temperature for 30 s and 72°C for 30 s. Fluorescence was measured in each cycle after the elongation step. The specificity of the reaction was checked by analysing the melting curve of the final amplified product. The amplification results were expressed as the threshold cycle number (CT), which represents the number of cycles needed to generate a fluorescent signal greater than a predefined threshold. CT values were normalized by subtracting the CT value of the RpS5a reference gene from the corresponding cDNA sample. For every gene, data were analysed under PAST to determine if they fitted a normal distribution. The variation in gene transcript levels between different groups was evaluated by two-way ANOVA followed by a Student’s t-test. When data did not fit a normal distribution, the non-parametric Kruskal-Wallis test was applied. p-values below 0.05 were considered significant.
Whole Honeybee Transcriptome Response to N. ceranae and/or Fipronil using RNA-Sequencing (Exp. 1)
In this experiment, newly emerged honeybees were exposed to (i) no treatment, (ii) N. ceranae (125,000 spores/bee), (iii) chronic exposure to fipronil (1.3 μg/L for 7 days) or (iv) the combination of both stressors. Survival analysis revealed that each treatment, applied alone or in combination, led to a significant decrease (p≤0.05, one-tailed χ2 test) in honeybee survival compared to control (Figure 1). As expected, control honeybees presented the lowest mortality rate (19%) at the end of the experiment, i.e. 25 days after emergence. Mortality rates were significantly increased in honeybees exposed to N. ceranae (45%, p<0.001) or fipronil (37%, p<0.001) alone compared to control. Both factors, when applied alone, had a similar impact on honeybee survival (p = 0.070). The mortality rate of honeybees co-exposed to both factors reached a maximum of 64%, and was significantly different from other experimental groups (p<0.001). However, while the N. ceranae-fipronil combination induced the highest honeybee mortality, it did not lead to a synergistic effect as previously reported .
Data give the cumulative proportion of surviving honeybees exposed to no treatment (blue), N. ceranae (red), fipronil (green), or a N. ceranae-fipronil combination (pink). N. ceranae-treated honeybees were individually infected at their emergence (day 0) and fipronil-treated ones were chronically and orally exposed to fipronil (1.3 μg/L) from day 0 to day 7. Data from 165 honeybees per experimental condition were analysed using the Kaplan-Meier method.
As expected from our previous study , N. ceranae did not affect host sucrose consumption, nor did insecticide exposure affect parasite development (data not shown). Honeybees exposed to fipronil and to the N. ceranae-fipronil combination absorbed a similar daily quantity of fipronil of 1/209th (19.9±5.1 pg/day/bee) and 1/201th of the LD50 (20.7±6.9 pg/day/bee) respectively (LD50 of 4.17 ng/bee ). Although these doses were much lower than the molecule LD50, the fipronil treatment could not be considered as sublethal in this study as it induced a significant increase in honeybee mortality.
Identification of differentially expressed genes.
The midgut transcriptome modifications induced by parasitism and exposition to insecticide, acting alone or in combination, were determined 1 and 7 days after the treatments’ initiation by whole transcriptome sequencing (RNA-Seq). A total of 16 RNA-Seq libraries were generated with 2 libraries for each experimental group. The number of sequence reads that mapped the honeybee genome varied between 10,000,000 and 27,000,000 per library, except for one replicate collected at day 7 in the group of honeybees co-exposed to N. ceranae and fipronil where only 14.2% of the reads (3,961,114 reads) matched the genome. This sample contained a high amount of Varroa destructor virus sequences and was discarded from further analyses. Overall, 10,061 honeybee genes have been detected in either library (Table S2). The R package DESeq  was used to normalize data and perform all possible pairwise comparisons to determine the differentially expressed genes between experimental groups. In order to validate the RNA-Seq data, 8 genes showing differential expression in at least two pairwise comparisons were selected. qRT-PCR assays on these genes confirmed both the direction and the magnitude of changes (Spearman rank correlation ρ = 0.722, n = 72, p<0.001) (Figure S1).
A PCA was performed on normalized data corresponding to a set of 3001 genes showing an adjusted p-value <0.1 in at least one pairwise comparison in the whole data (Figure 2). The first (70.5%) and second (5.1%) components represent most of the differential expression pattern with a cumulative proportion of 75.6%. This analysis revealed a clear segregation between samples collected at day 1 and those collected at day 7. The PCA plot also showed that samples collected at day 1 were all gathered together, while those collected at day 7 were segregated in a treatment-dependent way, possibly more strongly upon parasite infection. Therefore, honeybee ageing might have highly influenced gene expression in our experiment but exposure to parasite and/or insecticide might also have influenced it 7 days after treatment initiation. Indeed, pairwise comparisons performed on samples collected on day 1 only resulted in 17 genes whose expression was significantly modified between two experimental groups (i.e. showing at least one adjusted p-value <0.1 among all pairwise comparisons), while expression profiles were more affected on day 7 with 104 genes whose expression was affected.
Gene expression changes were investigated at day 1 (circles) or 7 (squares) in honeybees exposed to no treatment (blue), N. ceranae (red), fipronil (green), or a N. ceranae-fipronil combination (pink). The PCA was performed using normalized RNA-Seq data of a set of 3001 genes showing an adjusted p-value <0.1 in at least one pairwise comparison.
Honeybee genes responding to Nosema infection and fipronil intoxication.
In order to determine which genes were involved in honeybee response to N. ceranae and/or exposure to fipronil, we focused on pairwise comparisons performed between treated groups and controls at the same day. Overall, we found 71 genes whose expression is significantly modified in response to at least one of the treatments 1 or 7 days after the experiment initiation (Table 1). The honeybee response to treatments is particularly low 1 day after treatment initiation, with only 10 genes whose expression is significantly modified, compared to the 63 genes detected from data collected on day 7.
The infection by N. ceranae induced various gene expression changes on day 7 compared to control (Table 1). N. ceranae led to a significant overexpression of the genes encoding the histones H3-like (Gene ID 725272) and H4 (Gene ID 406132). The expression levels of the serine proteases encoding genes SP40 (Gene ID 409626) and SP22 (Gene ID 413645) were significantly decreased in the N. ceranae and N. ceranae-fipronil treatments for the former, and to the N. ceranae-fipronil treatment only for the latter. Several genes involved in chitin metabolism and cuticle coatings, that constitute an important barrier defence in honeybees, were activated in experimental groups: the chitinase 5 encoding gene (Gene ID 551600) in response to N. ceranae and N. ceranae-fipronil combination, and the genes encoding the cuticular proteins 17 (Gene ID 724556) and 28 (Gene ID 412202) in response to the N. ceranae-fipronil combination only. Additionally, parasitism decreased the expression of genes related to carbohydrates metabolism. The expression of the genes encoding the phosphoenolpyruvate carboxykinase (Gene ID 412843) and the facilitated trehalose transporter Tret1-like (Gene ID 412007) was reduced in bees exposed to N. ceranae and to the N. ceranae-fipronil combination respectively. Some treatments affected the expression of genes involved in amino acid metabolism and transport. The transcript amounts were higher for the B(0,+)-type amino acid transporter 1-like (Gene ID 409932) and the fumarylacetoacetase (Gene ID 552210) encoding genes in response to N. ceranae, and for the vesicular glutamate transporter 2-like encoding gene (Gene ID 412220) in response to fipronil and to N. ceranae-fipronil. In contrast, an inhibition of expression was observed for the dopa decarboxylase encoding gene (Gene ID 410638) in response to N. ceranae, and for the proton-coupled amino acid transporter 4-like encoding gene (Gene ID 413117) in response to fipronil alone. Fipronil also led to the overexpression of two genes related to carbohydrate metabolism, encoding an inositol-3-phosphate synthase (Gene ID 551143) and an inositol oxygenase-like (Gene ID 408650). Honeybees exposed to fipronil alone also showed a significant decrease in the expression of two genes encoding transcriptional factors: the homeobox protein Nkx-2.5-like (Gene ID 725671) and the POU domain, class 2, transcription factor 3-like (Gene ID 727092).
Transcriptomic Profile of Selected Genes in Response to N. ceranae, Fipronil and Imidacloprid (Exp. 2)
In this experiment, newly emerged honeybees were exposed to (i) no treatment, (ii) N. ceranae (125,000 sp/bee), (iii) chronic exposure to fipronil (2 μg/L), (iv) chronic exposure to imidacloprid (2 μg/L), (v) N. ceranae-fipronil combination or (vi) N. ceranae-imidacloprid combination. Survival analysis showed a general pattern which is quite similar to the one observed in Exp. 1 (Fig. S2). Briefly, all parasite and/or insecticide treatments, except for the imidacloprid treatment (p = 0.079), led to a significant decrease (p≤0.001) in honeybee survival compared to control. Moreover, mortality rates induced by N. ceranae-fipronil and N. ceranae-imidacloprid combinations were the highest (69% and 70% respectively after 12 days) and were significantly (p≤0.001) higher than the parasite or insecticide treatments applied alone. However, neither N. ceranae-fipronil nor N. ceranae-imidacloprid combination led to a synergistic effect on host mortality.
Regarding exposure to fipronil, honeybees treated with fipronil alone (46.1±17.7 ng/day/bee, LD50/90) and honeybees exposed to the N. ceranae-fipronil combination (43.1±12.2 ng/day/bee, LD50/97) consumed similar daily quantities of insecticide. Like in Exp. 1, fipronil doses received by honeybees in both experimental groups cannot be considered as sublethal. Honeybees exposed to imidacloprid also consumed similar daily quantities of insecticide, whether they were infected by N. ceranae (42.2±13.5 ng/day/bee, LD50/664) or not (45.1±17.6 ng/day/bee, LD50/621). As the mortality rate of honeybees treated with imidacloprid alone was not significantly different from the one measured in control bees, the imidacloprid dose received by individuals could be considered as sublethal.
Determination of differentially expressed genes by quantitative RT-PCR.
Twenty four honeybee genes have been selected as potential expression markers for parasitism or exposure to insecticide. Among those, sixteen genes are involved in functions, such as immunity, detoxification and antioxidant reactions, that are activated in response to environmental stressors in honeybees. As an example, it has been shown that the expression of the genes encoding the hymenoptaecin and defensin 1 antimicrobial peptides (Gene ID 406142 and 406143) and the glucose dehydrogenase (Gene ID 551044) is significantly decreased several days after N. ceranae infection , . Six genes showing differential expression in our RNA-Seq experiment have also been selected. The transcript levels of the 24 selected genes were determined for each experimental condition from four pools of five midguts 7 and 11 days after treatment initiation. Six and eight genes were significantly differentially expressed in at least one experimental group compared to control in samples collected at days 7 and 11 respectively (Table 2).
Four genes thought to be involved in immunity were downregulated in response to several treatments. The gene encoding the serine protease 40 (Gene ID 409626) was downregulated at day 7 in honeybees infected by N. ceranae, whatever they were exposed to one insecticide or not, and at day 11 in individuals exposed to the combination N. ceranae-imidacloprid. The lysozyme 1 encoding gene (Gene ID 725110) was downregulated at day 11 in honeybees exposed to fipronil or imidacloprid alone and in honeybees exposed to N. ceranae-fipronil. The expression of the antimicrobial peptide hymenoptaecin encoding gene (Gene ID 406142) was significantly inhibited at day 11 in response to N. ceranae or fipronil, but not to the N. ceranae-fipronil combination. In contrast, it was significantly lower in response to the N. ceranae-imidacloprid treatment at the same day. At last, honeybees exposed to the N. ceranae-fipronil combination showed a decrease in the expression of the gene encoding the glucose dehydrogenase 2 (Gene ID 551044) at day 7.
Other functional groups seemed affected by the applied treatments. Eleven days after the experiment initiation, honeybees infected by N. ceranae showed a strong decrease in the expression of a catalase encoding gene (Gene ID 443552), which might be involved in antioxidant reactions and in xenobiotic detoxification. Two genes related to carbohydrate metabolism were significantly downregulated in our experiment: the trehalase encoding gene (Gene ID 410484) in response to N. ceranae at day 11 and to N. ceranae-fipronil combination at days 7 and 11, and the GMC oxidoreductase 3 encoding gene (Gene ID 410747) in response to all treatments but imidacloprid alone at day 7 and to N. ceranae-imidacloprid combination at day 11. The expression of the transcription factor Lim3 homeobox (Gene ID 410658) was significantly downregulated at day 7 in all experimental groups compared to control, and at day 11 in honeybees infected by N. ceranae, whether they were exposed to insecticides or not. Honeybees exposed to fipronil or imidacloprid or N. ceranae-imidacloprid showed a significant decrease in the expression of a gene encoding a vanin 1-like protein (Gene ID 724312). Vanin is an enzyme with pantetheinase activity that is suspected to have antiparasitic properties against Plasmodium in mice . Finally, the only gene overexpressed in our experiment was the chitinase 5 encoding gene (Gene ID 551600) whose expression was significantly increased at day 7 in honeybees infected by N. ceranae.
Quantitative RT-PCR and RNA-Seq correlation.
Gene expression profiles collected at day 7 from experimental groups exposed to no treatment, N. ceranae and fipronil, applied alone or in combination, were compared to RNA-Seq data (Figure S3). A strong correlation was found between Exp. 1 and Exp. 2 (Spearman rank correlation ρ = 0.84, n = 92, p<0.001). Among the six genes showing differential expression in RNA-Seq data and chosen for qPCR analysis, four showed positively correlated expression in Exp. 2, while none showed divergent expression. More precisely, honeybees treated with N. ceranae alone or with the N. ceranae-fipronil combination showed in both experiments a higher expression of the chitinase 5 encoding gene (Gene ID 551600) and a lower expression of the SP 40 (Gene ID 409626) and Lim3 homeobox (Gene ID 410658) encoding genes. The latter was also repressed by fipronil in the two experiments. Similarly, a significant decrease in the expression of the trehalase encoding gene (Gene ID 410484) was observed in response to the N. ceranae-fipronil combination in both experiments. Overall, the similar survival and gene expression profiles obtained from the two distinct experiments, using different analytical methods (RNA-Seq and qPCR) and different fipronil concentrations (1.3 and 2 μg/L), showed that the stresses applied induced a reproductible response.
Newly emerged honeybees were exposed to N. ceranae-infection or chronic exposure to an insecticide (fipronil or imidacloprid) or a combination of both parasite and insecticide. It is noteworthy that the provided fipronil and imidacloprid concentrations in our study lie within the range detected in contaminated pollen and nectar stored inside hives , , , , .
Different impacts of fipronil and N. ceranae treatments on honeybee survival were observed in this study compared to previous surveys. Parasite infection had a more severe impact on honeybee survival compared to our previous study where the infection of newly emerged honeybees resulted in a mortality of 39% of individuals 22 days post infection (dpi) . This higher impact was particularly evident in Exp. 2, where the mortality reached a maximum of 51% of honeybees at only 12 dpi (Fig. S2). Moreover, we observed a significant impact on honeybee survival in groups exposed to fipronil concentrations of 1.3 μg/L (Exp. 1) or 2 μg/L (Exp. 2) (Fig. 1 and S2). Therefore the insecticide doses received by honeybees were not sublethal, in contrast to previous studies performed with a comparable chronic exposure to fipronil (1 μg/L) , . No synergy between N. ceranae and fipronil treatments has been observed in the present work while they led to a synergistic effect on honeybee mortality in previous studies , . The absence of synergy could be linked to the already high impact of individual treatments, that could have prevented further potentialization, and all these effects could be due to life-history traits of the sampled honeybee colonies such as resources, other contaminants and pathogens that might have an impact on the honeybee lifespan. Indeed, a contamination by Varroa destructor virus sequences was detected in RNA-Seq data and two others viruses, the black queen cell virus and the deformed-wing virus, were also detected by RT-PCR in RNA samples extracted from Exp. 2 (data not shown). The presence of viruses in honeybees during experiments might be more common than thought as another study has also reported a RNA sample contamination by viruses .
Compared to fipronil, exposure to imidaloprid (2 μg/L) did not lead to a significant increase in individual mortality implying that doses absorbed by honeybees could be considered as sublethal (Fig. S2). The N. ceranae-imidacloprid combination did not lead to a synergistic effect on honeybee mortality. This result is in accordance with the data from Alaux et al., (2010) , where a synergy between Nosema parasites and imidacloprid occurred only with high concentration (70 μg/L) but not with 0.7 or 7 μg/L of imidacloprid.
Honeybee midgut response to parasitism and exposure to insecticide was analysed in two independent experiments using RNA-Seq and qRT-PCR for Exp. 1 and 2 respectively. A strong correlation was found between gene expression changes between both experiments (Fig. S3) showing that the midgut transcriptional response to treatments was reproducible. A strong effect of honeybee ageing on gene expression profiles was suspected from the principal component analysis performed on RNA-Seq data (Fig. 2). This analysis also suggested that parasite and insecticide treatments had very low impact on global gene expression one day after experiment initiation while they influenced it at day 7. Moreover, a higher number of genes showed expression changes by qRT-PCR at day 11 compared to day 7 suggesting that parasite and insecticide have a growing impact on gene expression with time. Overall, early gene expression changes might reflect honeybee response to a moderate disruption of midgut homeostasis induced by parasite and/or insecticide treatments. On the next days, the amplification regarding gene expression changes might reflect the honeybees inability to recover from this disruption, resulting in a growing imbalance that may lead to premature death.
A significant downregulation of several genes potentially implicated in the immune response was detected in N. ceranae-infected honeybees at days 7 or 11. Those included the genes encoding the serine proteases SP22 and SP40, glucose dehydrogenase 2, lysozyme 1, hymenoptaecin and GMC oxidoreductase 3 (Tables 1 and 2). In addition to their function in digestion of food, serine proteases in insects participate in regulatory cascade reactions linked to immune responses resulting in rapid activation of the Toll and prophenoloxidase pathways . Antimicrobial peptides such as hymenoptaecin are key elements of the insect innate immunity against bacteria and fungi . Hymenoptaecin was the only antimicrobial peptide significantly affected under N. ceranae-infection in our study while abaecin, apidaecin and defensin encoding genes were also downregulated in other studies , . Glucose dehydrogenases are components of the humoral immune response associated with melanised encapsulation  and have already been shown to be repressed in response to N. ceranae . A recent survey revealed a possible implication of GMC oxidoreductases in insect immunity. Related genes are upregulated in silkworm in response to four different pathogens and the knockdown of these genes affects the survival rate of infected individuals . Other genes were shown to be downregulated in N. ceranae-infected midguts in previous studies –, but not significantly in the present one, such as the basket and u-shaped genes whose orthologs in Drosophila melanogaster are related to immunity . Altogether these data suggest an impairment of the honeybee immune defence in response to N. ceranae infection that may favour the parasite development.
Pesticides might also act on insects immune system ,  and fungicides and acaricides have been shown to downregulate immune-related genes in honeybees –. In our study, the hymenoptaecin and lysozyme 1 transcript levels were significantly lower following the chronic exposure to fipronil and to fipronil and imidacloprid respectively (Table 2). Therefore phenylpyrazole and neonicotinoid insecticides might also alter the honeybee immune response.
A significant overexpression of a chitinase encoding gene was detected in honeybees exposed to N. ceranae, alone or in combination with an insecticide, and two genes encoding cuticular proteins carrying a chitin-binding domain were activated in honeybees exposed to parasite-insecticide treatments. For the first time data suggest that cuticle coatings, which constitute important barrier defence in insects, might undergo significant modifications in response to a parasite infection. One should also consider that the peritrophic matrix surrounding the food bolus and protecting epithelial cells contains chitin , therefore infection by N. ceranae might lead to an alteration of the peritrophic matrix.
In insect midgut, a localized immune response can be implemented by the production of reactive oxygen species (ROS) which are toxic to pathogens , . As ROS can also have cytotoxic effects on host tissues, a balance between the generation and elimination of ROS must be maintained . Antioxidant reactions involve enzymes such as glutathione peroxidases, catalases and glutathione-S-transferases, which are also involved in xenobiotic detoxification and particularly in pesticide metabolism. In our study, the expression of one of the honeybee catalase encoding genes (Gene ID 443552) was significantly reduced in the midgut 11 days following N. ceranae infection (Table 2). In contrast, in N. ceranae-infected honeybees at 7 dpi, Dussaubat et al., (2012)  observed the overexpression of the same catalase encoding gene, as well as other genes encoding a glutathione peroxidase-like 2 and two cytochrome P450 monooxygenases (CYP/P450s). As the honeybee genome carries several homologs of these genes, the impact of N. ceranae infection on antioxidant and detoxification processes appears unclear although there seems to be a reorganization between transcripts. The measure of enzyme activities in N. ceranae-infected midguts suggested that such gene expression rearrangement would lead to a decrease in glutathione peroxidase and an increase in glutathione-S-transferase activities , .
In our study, neither insecticide nor parasite-insecticide treatments led to significant changes in the expression of genes related to detoxification. On the contrary, a significant overexpression of 9 genes encoding CYP/P450s was detected in honeybee larvae orally exposed to imidacloprid (2 μg/L) for 15 days . In insects, CYP/P450s are involved in the resistance to insecticides –. Modifications of detoxifying activities were also observed in honeybees after an acute and topical exposure to sublethal doses of the neonicotinoid thiamethoxam . The low expression of these genes, that did not pass the statistical screening test in the present work, could be linked to the high mortality observed in honeybees exposed to fipronil.
Modifications of the expression of several genes related to trehalose metabolism were observed in our study. A trehalase-encoding gene was highly downregulated in N. ceranae-infected honeybees at day 11 (Table 2), as expected from previous data . This gene and two other encoding facilitated trehalose transporters were also downregulated in honeybees exposed to the N. ceranae-fipronil combination. Trehalases hydrolyse trehalose to generate glucose which can then be catabolised through glycolysis or the pentose phosphate pathway . In the haemolymph of N. ceranae-infected foragers, the trehalose amount has been shown to be lower compared to uninfected individuals while glucose amount remained stable, suggesting that parasitism increased honeybee energetic demand . Trehalases are also involved in various other physiological processes in insects such as regulation of chitin biosynthesis, flight metabolism or cold tolerance , . Regulation of a trehalase gene may thus be linked to a complex metabolic response but it would need confirmation through trehalase activity monitoring.
Several genes encoding transcription factors were significantly downregulated in response to parasite and/or insecticide treatment (Tables 1 and 2), including three homeobox-containing proteins (namely the homeodomain interacting protein kinase, Lim3 homeobox and homeobox protein Nkx-2.5-like), referred to as Hox proteins. Another Hox gene, encoding an ortholog of the D. melanogaster pituitary homeobox homolog 1 was also found significantly downregulated in the midgut of honeybees infected by N. ceranae for 7 days . Hox proteins are transcription factors that regulate the expression of genes involved in growth and differentiation during the developmental processes of animals, from flies to mammals . Hox proteins may also play a role in the innate immune response as modulators of NF-κB-dependent transcription and as mediators of phagocytosis of apoptotic cells , . One other transcription factor (annotated as POU domain, class 2, transcription factor 3-like) was significantly repressed in response to fipronil. POU domain-containing transcription factors perform varying functions as regulators of house-keeping genes or as developmental coordinators . In Drosophila, POU proteins were shown to control, together with other regulators, the constitutive expression of antimicrobial peptide genes, thus promoting a first-line defence against infection . The pleiotropic effects of Hox and POU transcription factors make it difficult to interpret their regulation, as it could be linked either to a host response to the stressors (e.g. protection, compensation for damages, prevention of parasite development) or, in the case of infection, to a host manipulation by the parasite.
Our result showed that N. ceranae-fipronil and N. ceranae-imidacloprid combinations do not systematically lead to a synergistic effect on honeybee mortality. Such variability in impact on mortality could be due to additional unexpected stressors related to life-history traits of the sampled honeybee colonies. In our study, gene expression profiles in honeybee midgut showed that insecticide treatments had no impact on detoxifying genes but led to a significant downregulation of immunity-related genes (Figure 3), suggesting a possible immunotoxicity of neonicotinoid and phenylpyrazole insecticides under chronic exposure. Honeybees treated with N. ceranae, alone or in combination with an insecticide, showed a strong alteration of midgut immunity visible after 7 days, together with significant modifications affecting barrier defence and trehalose metabolism. The increasing impact of the treatments with time suggests a growing imbalance of the honeybee transcriptome that would reflect an absence of stress recovery and could explain the observed higher mortality rates.
The figure presents a selection of genes or enzymes whose expression or activity has been shown to significantly increase (↑) or decrease (↓) under exposure to N. ceranae (red), to fipronil (green), or to a N. ceranae-fipronil combination (purple) in the present work or in previous studies: 1Antunez et al., 2009; 2Chaimanee et al., 2012; 3Dussaubat et al., 2012; 4Vidau et al., 2011.
Quantitative RT-PCR validation of RNA-Seq data on a selection of eight genes. Data show values of differential expression of eight selected genes (i.e. encoding chitinase 5, SP14, SP40, Lim3 homeobox, glucosinolate sulphatase, trehalase, hydrocephalus-inducing protein-like and actin related protein 1) for the same pairwise comparisons between experimental groups, determined by RNA-Seq and qPCR. A strong correlation was found between qRT-PCR and RNA-Seq data (Spearman rank correlation p = 0.722, n = 72, p<0.001).
Effect of N. ceranae and insecticide, acting alone or in combination, on honeybee survival. Data give the cumulative proportion of surviving honeybees exposed to no treatment (blue), N. ceranae (red), insecticide (green), or a N. ceranae-insecticide combination (pink). N. ceranae-treated honeybees were individually infected at their emergence (day 0) and insecticide-treated ones were chronically and orally exposed to (A) fipronil (2 μg/L) or (B) imidacloprid (2 μg/L) from day 0 to day 7. Data from 140 honeybees per experimental condition were analysed with the Kaplan-Meier method.
Comparison between transcripts abundance of the same set of 24 genes determined in Exp. 1 (RNA-Seq) and Exp. 2 (qRT-PCR) at day 7. The log2 of mean between replicates transcripts counts is given for each gene and each experimental group (i.e. control, N. ceranae, fipronil, N. ceranae-fipronil). Ct determined by qRT-PCR in Exp. 2 was normalized using gene RpS5a as the reference. A strong correlation was found between Exp. 1 and Exp. 2 (Spearman rank correlation p = 0.84, n = 92, p<0.001).
List of primer sequences and conditions used for quantitative RT-PCR analysis in this study. Nucleotide sequences for both forward (F) and reverse (R) primers are given together with the amplicon size, the primer final concentration and hybridization temperature used for amplification, as well as the linearity and the efficiency of the qPCR.
Honeybee genes detected in honeybees exposed to no treatment (Ct), N. ceranae (Ncer), fipronil (Fip), or a N. ceranae-fipronil (Nc+F) at day 1 (D1) or 7 (D7). The table gives the normalized counts for each sample together with the mean log2 of replicates for each condition and the log2 fold changes (and adjusted p-value in parenthesis) for each pairwise comparison.
Conceived and designed the experiments: JA BV FD NB. Performed the experiments: JA BMA NB. Analyzed the data: JA BMA CT NB. Contributed reagents/materials/analysis tools: JA BMA NB. Wrote the paper: JA NB.
- 1. Oldroyd BP (2007) What’s killing American honey bees? PLoS Biol 5: e168. doi: 10.1371/journal.pbio.0050168
- 2. Potts SG, Biesmeijer JC, Kremen C, Neumann P, Schweiger O, et al. (2010) Global pollinator declines: trends, impacts and drivers. Trends Ecol Evol 25: 345–353. doi: 10.1016/j.tree.2010.01.007
- 3. vanEngelsdorp D, Meixner MD (2010) A historical review of managed honey bee populations in Europe and the United States and the factors that may affect them. J Invertebr Pathol 103 Suppl 1S80–95. doi: 10.1016/j.jip.2009.06.011
- 4. vanEngelsdorp D, Speybroeck N, Evans JD, Nguyen BK, Mullin C, et al. (2010) Weighing risk factors associated with bee colony collapse disorder by classification and regression tree analysis. J Econ Entomol 103: 1517–1523. doi: 10.1603/ec09429
- 5. Higes M, Meana A, Bartolomé C, Botías C, Martín-Hernández R (2013) Nosema ceranae (Microsporidia), a controversial 21st century honey bee pathogen. Environ Microbiol Reports 5: 17–29. doi: 10.1111/1758-2229.12024
- 6. Klee J, Besana AM, Genersch E, Gisder S, Nanetti A, et al. (2007) Widespread dispersal of the microsporidian Nosema ceranae, an emergent pathogen of the western honey bee, Apis mellifera. J Invertebr Pathol 96: 1–10. doi: 10.1016/j.jip.2007.02.014
- 7. Botías C, Martín-Hernández R, Garrido-Bailón E, González-Porto A, Martínez-Salvador A, et al. (2012) The growing prevalence of Nosema ceranae in honey bees in Spain, an emerging problem for the last decade. Res Vet Sci 93: 150–155 doi:10.1016/j.rvsc.2011.08.002.
- 8. Antúnez K, Martín-Hernández R, Prieto L, Meana A, Zunino P, et al. (2009) Immune suppression in the honey bee (Apis mellifera) following infection by Nosema ceranae (Microsporidia). Environ Microbiol 11: 2284–2290. doi: 10.1111/j.1462-2920.2009.01953.x
- 9. Chaimanee V, Chantawannakul P, Chen Y, Evans JD, Pettis JS (2012) Differential expression of immune genes of adult honey bee (Apis mellifera) after inoculated by Nosema ceranae. J Insect Physiol 58: 1090–1095. doi: 10.1016/j.jinsphys.2012.04.016
- 10. Dussaubat C, Brunet J-L, Higes M, Colbourne JK, Lopez J, et al. (2012) Gut pathology and responses to the microsporidium Nosema ceranae in the honey bee Apis mellifera. PLoS ONE 7: e37017. doi: 10.1371/journal.pone.0037017
- 11. Mayack C, Naug D (2009) Energetic stress in the honeybee Apis mellifera from Nosema ceranae infection. J Invertebr Pathol 100: 185–188. doi: 10.1016/j.jip.2008.12.001
- 12. Mayack C, Naug D (2010) Parasitic infection leads to decline in hemolymph sugar levels in honeybee foragers. J Insect Physiol 56: 1572–1575. doi: 10.1016/j.jinsphys.2010.05.016
- 13. Aliferis KA, Copley T, Jabaji S (2012) Gas chromatography-mass spectrometry metabolite profiling of worker honey bee (Apis mellifera L.) hemolymph for the study of Nosema ceranae infection. J Insect Physiol 58: 1349–1359. doi: 10.1016/j.jinsphys.2012.07.010
- 14. García-Palencia P, Martín-Hernández R, González-Porto A, Marin P, Meana A, et al. (2010) Natural infection by Nosema ceranae causes similar lesions as in experimentally infected caged-workers honey bees (Apis mellifera). J Apic Res 49: 278–283. doi: 10.3896/ibra.1.49.3.08
- 15. Higes M, Martín-Hernández R, Botías C, Bailón EG, González-Porto AV, et al. (2008) How natural infection by Nosema ceranae causes honeybee colony collapse. Environ Microbiol 10: 2659–2669. doi: 10.1111/j.1462-2920.2008.01687.x
- 16. Dussaubat C, Sagastume S, Gómez-Moracho T, Botías C, García-Palencia P, et al. (2013) Comparative study of Nosema ceranae (Microsporidia) isolates from two different geographic origins. Vet Microbiol 162: 670–678. doi: 10.1016/j.vetmic.2012.09.012
- 17. Johnson RM, Ellis MD, Mullin CA, Frazier M (2010) Pesticides and honey bee toxicity – USA. Apidologie 41: 312–331.
- 18. Mullin CA, Frazier M, Frazier JL, Ashcraft S, Simonds R, et al. (2010) High levels of miticides and agrochemicals in North American apiaries: implications for honey bee health. PLoS ONE 5: e9754. doi: 10.1371/journal.pone.0009754
- 19. Chauzat M-P, Carpentier P, Martel A-C, Bougeard S, Cougoule N, et al. (2009) Influence of pesticide residues on honey bee (Hymenoptera: Apidae) colony health in France. Environ Entomol 38: 514–523. doi: 10.1603/022.038.0302
- 20. Chauzat M-P, Faucon J-P, Martel A-C, Lachaize J, Cougoule N, et al. (2006) A survey of pesticides residues in pollen loads collected by honey bees in France. J Econ Entomol 99: 253–262. doi: 10.1603/0022-0493-99.2.253
- 21. Lambert O, Piroux M, Puyo S, Thorin C, L’hostis M, et al. (2013) Widespread occurrence of chemical residues in beehive matrices from apiaries located in different landscapes of Western france. PLoS ONE 8: e67007. doi: 10.1371/journal.pone.0067007
- 22. Desneux N, Decourtye A, Delpuech J-M (2007) The sublethal effects of pesticides on beneficial arthropods. Annu Rev Entomol 52: 81–106. doi: 10.1146/annurev.ento.52.110405.091440
- 23. Belzunces LP, Tchamitchian S, Brunet J-L (2012) Neural effects of insecticides in the honey bee. Apidologie 43: 348–370.
- 24. Decourtye A, Armengaud C, Renou M, Devillers J, Cluzeau S, et al. (2004) Imidacloprid impairs memory and brain metabolism in the honeybee (Apis mellifera L.). Pestic Biochem Physiol 78: 83–92. doi: 10.1016/j.pestbp.2003.10.001
- 25. El Hassani AK, Dacher M, Gauthier M, Armengaud C (2005) Effects of sublethal doses of fipronil on the behavior of the honeybee (Apis mellifera). Pharmacol Biochem Behav 82: 30–39. doi: 10.1016/j.pbb.2005.07.008
- 26. Bernadou A, Démares F, Couret-Fauvel T, Sandoz JC, Gauthier M (2009) Effect of fipronil on side-specific antennal tactile learning in the honeybee. J Insect Physiol 55: 1099–1106. doi: 10.1016/j.jinsphys.2009.08.019
- 27. Colin ME, Bonmatin JM, Moineau I, Gaimon C, Brun S, et al. (2004) A method to quantify and analyze the foraging activity of honey bees: relevance to the sublethal effects induced by systemic insecticides. Arch Environ Contam Toxicol 47: 387–395. doi: 10.1007/s00244-004-3052-y
- 28. Decourtye A, Devillers J, Cluzeau S, Charreton M, Pham-Delègue M-H (2004) Effects of imidacloprid and deltamethrin on associative learning in honeybees under semi-field and laboratory conditions. Ecotoxicol Environ Saf 57: 410–419. doi: 10.1016/j.ecoenv.2003.08.001
- 29. Decourtye A, Lefort S, Devillers J, Gauthier M, Aupinel P, et al.. (2009) Sublethal effects of fipronil on the ability of honeybees (Apis mellifera L.) to orientate on a complex maze. Hazards of pesticides to bees - 10th International Symposium of the ICP-Bee Protection Group.
- 30. Decourtye A, Devillers J, Aupinel P, Brun F, Bagnis C, et al. (2011) Honeybee tracking with microchips: a new methodology to measure the effects of pesticides. Ecotoxicology 20: 429–437. doi: 10.1007/s10646-011-0594-4
- 31. Schneider CW, Tautz J, Grünewald B, Fuchs S (2012) RFID tracking of sublethal effects of two neonicotinoid insecticides on the foraging behavior of Apis mellifera. PLoS ONE 7: e30023. doi: 10.1371/journal.pone.0030023
- 32. Suchail S, Guez D, Belzunces LP (2001) Discrepancy between acute and chronic toxicity induced by imidacloprid and its metabolites in Apis mellifera. Environ Toxicol Chem 20: 2482–2486. doi: 10.1002/etc.5620201113
- 33. Decourtye A, Devillers J, Genecque E, Le Menach K, Budzinski H, et al. (2005) Comparative sublethal toxicity of nine pesticides on olfactory learning performances of the honeybee Apis mellifera. Arch Environ Contam Toxicol 48: 242–250. doi: 10.1007/s00244-003-0262-7
- 34. Aliouane Y, El Hassani AK, Gary V, Armengaud C, Lambin M, et al. (2009) Subchronic exposure of honeybees to sublethal doses of pesticides: effects on behavior. Environ Toxicol Chem 28: 113–122. doi: 10.1897/08-110.1
- 35. Holmstrup M, Bindesbøl A-M, Oostingh GJ, Duschl A, Scheil V, et al. (2010) Interactions between effects of environmental chemicals and natural stressors: a review. Sci Total Environ 408: 3746–3762. doi: 10.1016/j.scitotenv.2009.10.067
- 36. González-Varo JP, Biesmeijer JC, Bommarco R, Potts SG, Schweiger O, et al. (2013) Combined effects of global change pressures on animal-mediated pollination. Trends Ecol Evol 28: 524–530. doi: 10.1016/j.tree.2013.05.008
- 37. Alaux C, Brunet J-L, Dussaubat C, Mondet F, Tchamitchan S, et al. (2010) Interactions between Nosema microspores and a neonicotinoid weaken honeybees (Apis mellifera). Environ Microbiol 12: 774–782. doi: 10.1111/j.1462-2920.2009.02123.x
- 38. Vidau C, Diogon M, Aufauvre J, Fontbonne R, Viguès B, et al. (2011) Exposure to sublethal doses of fipronil and thiacloprid highly increases mortality of honeybees previously infected by Nosema ceranae. PLoS ONE 6: e21550. doi: 10.1371/journal.pone.0021550
- 39. Aufauvre J, Biron DG, Vidau C, Fontbonne R, Roudel M, et al. (2012) Parasite-insecticide interactions: a case study of Nosema ceranae and fipronil synergy on honeybee. Sci Reports 2: 326. doi: 10.1038/srep00326
- 40. Lemaitre B, Hoffmann J (2007) The host defense of Drosophila melanogaster. Annu Rev Immunol 25: 697–743. doi: 10.1146/annurev.immunol.25.022106.141615
- 41. Hao Z, Kasumba I, Aksoy S (2003) Proventriculus (cardia) plays a crucial role in immunity in tsetse fly (Diptera: Glossinidiae). Insect Biochem Mol Biol 33: 1155–1164. doi: 10.1016/j.ibmb.2003.07.001
- 42. Pauchet Y, Freitak D, Heidel-Fischer HM, Heckel DG, Vogel H (2009) Immunity or digestion: glucanase activity in a glucan-binding protein family from Lepidoptera. J Biol Chem 284: 2214–2224. doi: 10.1074/jbc.m806204200
- 43. Martín-Hernández R, Meana A, Prieto L, Salvador AM, Garrido-Bailón E, et al. (2007) Outcome of colonization of Apis mellifera by Nosema ceranae. Appl Environ Microbiol 73: 6331–6338. doi: 10.1128/aem.00270-07
- 44. Anders S, Huber W (2010) Differential expression analysis for sequence count data. Genome Biol 11: R106. doi: 10.1186/gb-2010-11-10-r106
- 45. Hammer Ø, Harper DAT, Ryan PD (2001) PAST: Paleontological statistics software package for education and data analysis. Palaeontol Electron 4: 1–9.
- 46. Kievits J, Bruneau E (2007) Neurotoxiques systémiques, un risque pour les abeilles? Abeilles Cie 118: 12–17.
- 47. Min-Oo G, Ayi K, Bongfen SE, Tam M, Radovanovic I, et al. (2010) Cysteamine, the natural metabolite of pantetheinase, shows specific activity against Plasmodium. Exp Parasitol 125: 315–324. doi: 10.1016/j.exppara.2010.02.009
- 48. Bernal J, Garrido-Bailón E, Del Nozal MJ, González-Porto AV, Martín-Hernández R, et al. (2010) Overview of pesticide residues in stored pollen and their potential effect on bee colony (Apis mellifera) losses in Spain. J Econ Entomol 103: 1964–1971. doi: 10.1603/ec10235
- 49. Pareja L, Colazzo M, Pérez-Parada A, Niell S, Carrasco-Letelier L, et al. (2011) Detection of pesticides in active and depopulated beehives in Uruguay. Int J Environ Res Public Health 8: 3844–3858. doi: 10.3390/ijerph8103844
- 50. McDonnell CM, Alaux C, Parrinello H, Desvignes J-P, Crauser D, et al. (2013) Ecto- and endoparasite induce similar chemical and brain neurogenomic responses in the honey bee (Apis mellifera). BMC Ecol 13: 25. doi: 10.1186/1472-6785-13-25
- 51. Kanost MR, Clarke TE (2005) Proteases. Comprehensive Molecular Insect Science. Amsterdam: Elsevier, Vol. 4: 247–265. doi: 10.1016/b0-44-451924-6/00057-0
- 52. Bulet P, Hetru C, Dimarcq J-L, Hoffmann D (1999) Antimicrobial peptides in insects: structure and function. Dev Comp Immunol 23: 329–344. doi: 10.1016/s0145-305x(99)00015-4
- 53. Lovallo N, Cox-Foster DL (1999) Alteration in FAD–glucose dehydrogenase activity and hemocyte behavior contribute to initial disruption of Manduca sexta immune response to Cotesia congregata parasitoids. J Insect Physiol 45: 1037–1048. doi: 10.1016/s0022-1910(99)00086-4
- 54. Sun W, Shen Y-H, Yang W-J, Cao Y-F, Xiang Z-H, et al. (2012) Expansion of the silkworm GMC oxidoreductase genes is associated with immunity. Insect Biochem Mol Biol 42: 935–945. doi: 10.1016/j.ibmb.2012.09.006
- 55. Garrido PM, Antúnez K, Martín M, Porrini MP, Zunino P, et al. (2013) Immune-related gene expression in nurse honey bees (Apis mellifera) exposed to synthetic acaricides. J Insect Physiol 59: 113–119. doi: 10.1016/j.jinsphys.2012.10.019
- 56. Gregorc A, Evans JD, Scharf M, Ellis JD (2012) Gene expression in honey bee (Apis mellifera) larvae exposed to pesticides and Varroa mites (Varroa destructor). J Insect Physiol 58: 1042–1049. doi: 10.1016/j.jinsphys.2012.03.015
- 57. Boncristiani H, Underwood R, Schwarz R, Evans JD, Pettis J, et al. (2012) Direct effect of acaricides on pathogen loads and gene expression levels in honey bees Apis mellifera. J Insect Physiol 58: 613–620. doi: 10.1016/j.jinsphys.2011.12.011
- 58. Terra WR (2001) The origin and functions of the insect peritrophic membrane and peritrophic gel. Arch Insect Biochem Physiol 47: 47–61. doi: 10.1002/arch.1036
- 59. Broderick NA, Welchman DP, Lemaitre B (2009) Recognition and response to microbial infection in Drosophila. Insect infection and immunity. New York: Oxford University Press. p. 272.
- 60. Nathan C, Cunningham-Bussel A (2013) Beyond oxidative stress: an immunologist’s guide to reactive oxygen species. Nat Rev Immunol 13: 349–361. doi: 10.1038/nri3423
- 61. Derecka K, Blythe MJ, Malla S, Genereux DP, Guffanti A, et al. (2013) Transient exposure to low levels of insecticide affects metabolic networks of honeybee larvae. PLoS ONE 8: e68191. doi: 10.1371/journal.pone.0068191
- 62. Mao W, Schuler MA, Berenbaum MR (2011) CYP9Q-mediated detoxification of acaricides in the honey bee (Apis mellifera). Proc Natl Acad Sci U S A 108: 12657–12662. doi: 10.1073/pnas.1109535108
- 63. Chandor-Proust A, Bibby J, Régent-Kloeckner M, Roux J, Guittard-Crilat E, et al. (2013) The central role of mosquito cytochrome P450 CYP6Zs in insecticide detoxification revealed by functional expression and structural modelling. Biochem J 455: 75–85. doi: 10.1042/bj20130577
- 64. Ding Z, Wen Y, Yang B, Zhang Y, Liu S, et al. (2013) Biochemical mechanisms of imidacloprid resistance in Nilaparvata lugens: over-expression of cytochrome P450 CYP6AY1. Insect Biochem Mol Biol 43: 1021–1027. doi: 10.1016/j.ibmb.2013.08.005
- 65. Scott JG (1999) Cytochromes P450 and insecticide resistance. Insect Biochem Mol Biol 29: 757–777. doi: 10.1016/s0965-1748(99)00038-7
- 66. David J-P, Ismail HM, Chandor-Proust A, Paine MJI (2013) Role of cytochrome P450s in insecticide resistance: impact on the control of mosquito-borne diseases and use of insecticides on Earth. Philos Trans R Soc Lond B Biol Sci 368: 20120429. doi: 10.1098/rstb.2012.0429
- 67. Badiou-Bénéteau A, Carvalho SM, Brunet J-L, Carvalho GA, Buleté A, et al. (2012) Development of biomarkers of exposure to xenobiotics in the honey bee Apis mellifera: application to the systemic insecticide thiamethoxam. Ecotoxicol Environ Saf 82: 22–31. doi: 10.1016/j.ecoenv.2012.05.005
- 68. Becker A, Schlöder P, Steele JE, Wegener G (1996) The regulation of trehalose metabolism in insects. Experientia 52: 433–439. doi: 10.1007/bf01919312
- 69. Chen J, Tang B, Chen H, Yao Q, Huang X, et al. (2010) Different functions of the insect soluble and membrane-bound trehalase genes in chitin biosynthesis revealed by RNA interference. PLoS ONE 5: e10133. doi: 10.1371/journal.pone.0010133
- 70. Barraza A, Sánchez F (2013) Trehalases: A neglected carbon metabolism regulator? Plant Signal Behav 8.
- 71. Pick L, Heffer A (2012) Hox gene evolution: multiple mechanisms contributing to evolutionary novelties. Ann N Y Acad Sci 1256: 15–32. doi: 10.1111/j.1749-6632.2011.06385.x
- 72. Chung EY, Liu J, Homma Y, Zhang Y, Brendolan A, et al. (2007) Interleukin-10 expression in macrophages during phagocytosis of apoptotic cells is mediated by homeodomain proteins Pbx1 and Prep-1. Immunity 27: 952–964. doi: 10.1016/j.immuni.2007.11.014
- 73. Irazoqui JE, Ng A, Xavier RJ, Ausubel FM (2008) Role for beta-catenin and HOX transcription factors in Caenorhabditis elegans and mammalian host epithelial-pathogen interactions. Proc Natl Acad Sci U S A 105: 17469–17474. doi: 10.1073/pnas.0809527105
- 74. Cook AL, Sturm RA (2008) POU domain transcription factors: BRN2 as a regulator of melanocytic growth and tumourigenesis. Pigment Cell Melanoma Res 21: 611–626. doi: 10.1111/j.1755-148x.2008.00510.x
- 75. Junell A, Uvell H, Davis MM, Edlundh-Rose E, Antonsson Å, et al. (2010) The POU transcription factor Drifter/Ventral veinless regulates expression of Drosophila immune defense genes. Mol Cell Biol 30: 3672–3684. doi: 10.1128/mcb.00223-10