Kevin Ferro
Diana Ferro
Francesca Corrà2
Gianfranco Santovito
Joachim Kurtz- 1Institute for Evolution and Biodiversity, University of Münster, Münster, Germany
- 2Department of Biology, University of Padova, Padova, Italy
- 3Department of Aquaculture and Fisheries, Faculty of Agriculture and Environment, Agricultural University of Tirana, Tirana, Albania
The production of reactive oxygen species (ROS) is a normal consequence of the aerobic cell metabolism. Despite their high and potentially detrimental reactivity with various biomolecules, the endogenous production of ROS is a vital part of physiological, immunological, and molecular processes that contribute to fitness. The role of ROS in host–parasite interactions is frequently defined by their contribution to innate immunity as effectors, promoting parasite death during infections. In vertebrates, ROS and antioxidant system enzymes, such as superoxide dismutase (SOD) are also involved in acquired immune memory, where they are responsible for T-cell signalling, activation, proliferation, and viability. Based on recent findings, ROS are now also assumed to play a role in immune priming, i.e., a form of memory in invertebrates. In this study, the potential involvement of Cu,Zn SODs in immunity of the red flour beetle Tribolium castaneum is described for the first time, applying an approach that combines an in silico gene characterisation with an in vivo immune priming experiment using the Gram-positive entomopathogen Bacillus thuringiensis. We identified an unusually high number of three different transcripts for extracellular SOD and found that priming leads to a fine-tuned modulation of SOD expression, highlighting the potential of physiological co-adaptations for immune phenotypes.
Introduction
Reactive oxygen species (ROS) are oxygen derivatives commonly produced in eukaryotic cells as a consequence of the aerobic metabolism. One of the main sites of formation are mitochondria, where ROS are produced by interaction between molecular oxygen (O2) and the electron transport chain in the inner membrane (1). A physiological concentration of ROS is not harmful, but rather necessary for cell viability (2). For example, ROS have a key role in intracellular signalling, resulting in modulation of cellular processes such as stem cell proliferation and differentiation, autophagy, and cellular ageing (3, 4). In humans, the perturbation of ROS homoeostasis can lead to various pathologies, including neoplastic proliferation, Parkinson, Alzheimer’s and cardiovascular diseases (5). ROS are not only produced by endogenous processes, but also by numerous exogenous factors such as exposure to pathogens and xenobiotics, UV radiation as well as variation in temperature (6–10). In order to keep ROS production and elimination in balance, organisms evolved a complex molecular machinery, the antioxidant system. The components of the antioxidant system can be classified in enzymatic molecules [e.g., superoxide dismutase (SOD), catalase, glutathione (GSH) peroxidases, peroxiredoxins, and methionine sulphoxide reductase] and non-enzymatic ones (e.g., GSH, vitamin C, vitamin E, phytochelatins, and metallothioneins) (1, 7, 10–13). These molecular components of the cell have been conserved throughout deep evolutionary time in all eukaryotic organisms, from yeast to vertebrates (14–17).
The production of ROS is a prominent feature of innate immune responses. For example, after oral infection, insect hosts can heavily depend on an increase of ROS in the gut lumen, often in concert with a local up-regulation of antimicrobial peptides (AMPs) (6, 18–20). Moreover, during bacterial antigen recognition by phagocytes, both ROS and nitrogen oxide are produced as a consequence of phagocytosis, in order to act as cytotoxins and second messengers (14). In vertebrate acquired immunity, ROS take an active role in the determination of T-cell states (21) and moreover, T cells are also affected by changes in the regulation of the antioxidant system within the phagocytic cells, especially non-enzymatic ROS scavengers such as GSH (11, 22). Additionally, enzymatic antioxidant system components, such as SOD enzymes, are up-regulated during T-cell death and activation, as a response to increased mitochondrial superoxide (•O2−) formation (23). In summary, the role of ROS for infection dynamics in general, and host immune modulation in particular, is essential.
Although innate immunity is a feature of virtually all known multicellular organisms, acquired immunity (i.e., plastic immune responses based on specific memory) is mainly considered a hallmark of vertebrate species. However, recent studies demonstrated that invertebrates are also capable of mounting alternative forms of adaptive immune responses despite lacking features of classical vertebrate immunity (24, 25). Amongst others, one prominent example is the red flour beetle Tribolium castaneum. In this model organism, enhanced protection after repeated exposure to the same bacterial pathogen was demonstrated for septic as well as oral infection routes (26, 27), and could even be transferred to offspring (28, 29). This phenomenon is referred to as immune priming, and it has now been reported in a wide range of invertebrate species [for review see Ref. (24)], including copepods, water fleas, cockroaches, snails, shrimps, and mealworm beetles (25, 30). Although immune priming in these species is well studied, the molecular machinery underpinning immune priming is not well understood. Only recently the identification and characterisation of immune priming-related pathways has begun (24, 31–33). For example, the involvement of AMDs, as well as phagocytosis, in immune priming has been experimentally described in Drosophila melanogaster, Tenebrio molitor, and Galleria mellonella (34–37).
In T. castaneum, the analysis of transcriptomic data from two populations of T. castaneum, infected with the entomopathogen Bacillus thuringiensis by septic wounding, emphasised the importance of an up-regulation of transcription in genes with a predicted oxidative function for the systemic immune response (18). Another recent transcriptomic study in the same system, but using oral priming by exposure to bacteria-free spore culture supernatants showed that ROS genes were already up-regulated after priming, even when not followed by infection with live spores (38). This finding encouraged us to explore the ROS metabolism of T. castaneum during septic priming with this micro-parasite, and furthermore the potential role of ROS-detoxifying genes in invertebrate immune memory. Since comprehensive information about antioxidant system genes in T. castaneum is not available, we decided to begin our investigation with the first and most important line of defence against ROS, the SOD genes (7, 12).
Superoxide dismutase (SOD EC 1.15.1.1) is a ubiquitous family of metallo-enzymes that catalyse the dismutation of •O2− to H2O2 and are considered ancient enzymes, due to their unique evolutionary history (39, 40). SODs can be classified on the basis of the metal present in the catalytic core that is used for the dismutation process. In eukaryotic cells, three SOD types have been identified: manganese SOD (Mn SOD or SOD2), localised in mitochondria, and two Cu,Zn SODs, named intracellular SOD (IC-SOD or SOD1) and extracellular SOD (EC-SOD or SOD3), with respect to their cellular localisation (41, 42). In the present study, we focussed on the characterisation of Cu,Zn-SOD genes combining bioinformatics, biomolecular, and biochemical techniques, in order to gain first data on the evolutionary history of Cu,Zn SODs in T. castaneum. Moreover, for the first time, we characterised the involvement of Cu,Zn SODs in physiological responses to immune priming, studying gene expression at both transcriptional and translational levels, in a full-factorial priming and challenge experiment using B. thuringiensis.
Materials and Methods
Animals and Infection Protocol
Larvae of T. castaneum were obtained from our laboratory strain CRO1 (43). For oviposition, around 200 adults were transferred into glass jars containing fresh flour with 5% yeast. The animals were then kept for 1 day in a photoperiodic rhythm of 12:12 (D:L), at a temperature of 30°C and 70% humidity. After 11 days, a total of 960 larvae were collected and individualised into 96-well plates. In our experiment, we carried out controlled immune priming (first exposure) and challenge (second exposure) treatments using the bacteria B. thuringiensis strain DZSM 2046 [denoted “Bt1” in Roth et al. (26)]. Bacterial cultures were grown as previously described (26).
For the immune priming, the bacteria suspension was first adjusted to a concentration of 1 × 109 cells × mL−1 and subsequently heat-killed in a Thermomixer comfort for 30 min at 95°C [heat-killed Bt1 (hkBt1)]. For the challenge, we used live bacteria at the concentration of 5 × 105 cells × mL−1.
The appropriate bacteria concentrations used in this study were determined on the basis of preliminary experiments conducted in our laboratory, aiming at a priming concentration that leads to enhanced survival upon following challenge, and the lowest concentration that still induces mortality upon challenge, respectively (data not shown).
The injections were performed using the Nanoject II™ Auto-Nanoliter Injector equipped with two-step pulled, cut, and backfilled glass capillaries. Every injection was performed under a binocular microscope and every larva was injected with 18.4 nL of either a bacteria suspension or PBS. For priming, 15-day old larvae were injected laterally between the second- and third-last segment. For challenge, 19-day old larvae were injected dorsally between the head and the first segment to prevent any unwanted effects of repeated wounding at the same location. After each injection, larvae were transferred into 96-well plates filled with flour and 5% yeast for subsequent monitoring. One-day past infection the survival of all larvae was scored, the survivors collected and flash frozen in liquid nitrogen. Samples were stored at −80°C until use. The time point for sampling was chosen based on previous studies, that describe the survival curve of T. castaneum upon challenge with Bt1, in order to ensure that the infected individuals were not moribund (26, 32). Three independent experiments were performed for each priming/challenge combination.
Primer Design, RNA Extraction, cDNA Synthesis
The latest version of the T. castaneum genome (Assembly 5.21) was examined for genomic regions that might code for Cu,Zn-SOD enzymes. We identified three genomic regions for which the following gene sequences where annotated as predicted: TC007011, TC011676, and TC011675 that we named tc-soda, tc-sodb, and tc-sodc, respectively. The analysis of previously obtained RNAseq data from the Cro1 population (18) revealed that tc-sodb could potentially be transcribed in two variants: Tc-SODb1 and Tc-SODb2. We used the predicted sequences based on RNAseq data to design specific primers and confirm their expression, in order to study their gene transcription after immune priming and challenge. The primers were designed in the conserved domains, across exon–exon junctions, and their sequences were analysed with IDT Oligo analyser.2 As we used a low challenge dose of Bt1 to study SOD expression modulation, we verified the infection status by measuring the expression level of the AMP attacin 2 (atta2), which is known to respond to septic infection with B. thuringiensis (18). Primers chosen for real-time qPCR are shown in Table S1 in Supplementary Material. Total RNA was isolated from a pool of nine larvae for each priming/challenge combination and each experimental replicate with peqGOLDTriFast™ reagent (PEQLAB) according to the manufacturer’s protocol. Total RNA obtained was purified with NaAc 5 M to remove glucidic contaminants and the quantification was performed using the ND-1000 spectrophotometer (Thermo Scientific). The first strand of cDNA was reverse-transcribed at 42°C for 1 h from 1 µg of total RNA in a 20 µL reaction mixture containing 1 µL of RevertAid Reverse Transcriptase (ThermoFisher Scientific) and 0.5 µL oligodT Anchor primer.
Quantitative Real-time PCR (qRT-PCR)
Quantitative real-time PCR analyses were performed in a final volume of 10 µL, with 1–10 ng of cDNA, 1 × KAPA™ SYBR Green PCR Master mix, 0.5 µM for each primer. A dissociation curve was used to confirm the specificity of the amplicon. We verified the efficiency of the primers by drawing standard curves for target genes (amplification efficiency >1.9). qRT-PCR reactions were performed in duplicates in a PCR system LightCycler® 480 (Roche) as described in previous experiments (44). Thermal cycling conditions were as follows: 2 min denaturation at 95°C followed by 38 cycles for 25 s denaturation at 95°C, 1 min annealing and elongation at 60°C, and a final 3 min elongation at 72°C. The 2-ddCt (relative quantification) was used to calculate the relative expression ratio (45) with respect to the house-keeping gene (rp49, ribosomal protein). This method defines the change in expression of a nucleic acid sequence (target) in test samples relative to the same sequence in a calibrator sample (naive/naive), when the target gene is expressed at its lowest levels. Random samples of amplicons resulting from the RT-qPCR reaction were purified with Spin PCRapace (Stratec biomedical MSB®) and sequenced with the 3130xl Genetic Analyzer (Applied Biosystems) to confirm the specificity of the designed primers.
Sequence Analysis, In Silico Promoter Studies, and Molecular Phylogeny
The complete protein sequences of SODs from T. castaneum were aligned to other confirmed metazoan sequences, using the Muscle programme in order to study their level of conservation (46). Considering that some metazoan IC-SODs and EC-SODs have already been structurally characterised via X-ray crystallography, we employed a comparative modelling approach to study T. castaneum SODa, SODb, and SODc folding (for which no experimental structure is currently available). In this work, homology protein modelling was carried out with SwissModel bioinformatic tools3 (47). A 2 kbp region upstream of the respective coding sequences of the sod genes was analysed with a handmade pipeline designed in Python 3.0 to identify putative transcription factor binding sites such as antioxidant responsive element (ARE), metal responsive element, and xenobiotic responsive element (XRE) sites, according to previous studies (7, 11, 12). The sequences used for the molecular phylogeny in this paper are summarised in Table S2 in Supplementary Material along with their GenBank accession numbers. cDNA and amino acid sequences were aligned with T-Coffee (48). Analyses were performed using 88 candidate models and three types of criteria: Akaike information criterion (AIC), corrected AIC, and Bayesian information criterion. For carry out the statistical selection of the best-fit model of nucleotide substitution and protein evolution jModelTest 2.0 and ProtTest 3 were used, respectively (49).
SOD Activity Assay
The larvae that survived challenge, and that were not used for molecular biology analyses, were homogenised as previously described (12). Homogenates were centrifuged at 48,000×g for 60 min at 4°C, and the resulting supernatants were used for SOD activity quantification. We used the method described by Fridovich (41), which is based on the inhibition of the reduction of nitro blue tetrazolium (NBT) by •O2− produced via riboflavin photo reduction. One unit of SOD activity was defined as the amount of enzyme required for 50% inhibition of NBT conversion. Data refer to total protein concentrations, assayed by the Lowry method (50, 51) with some modifications.
Statistical Analysis
Survival data were analysed using multiple pairwise Wilcoxon tests across treatments in R Version 3.3.2.4 qRT-PCR and enzyme activity data were expressed as average of three independent experiments and statistical analyses were performed with the PRIMER statistical programme. ANOVA for different groups was followed by the Student–Newman–Keuls test to assess significant differences between the treatments (p < 0.05).
Results
Gene Architecture of T. castaneum Cu,Zn-SOD Genes
In the T. castaneum Genome Database (scaffold ids 34, 67, and 56), we identified three sequences putatively coding for members of the Cu,Zn SOD family. We named the respective genes tc-soda (OGS-ID TC007011), tc-sodb (OGS-ID TC011676), and tc-sodc (OGS-ID TC011675).
In silico analysis of tc-soda indicates that the open reading frame (ORF) includes 462 nt and that it encodes a putative protein of 155 aa, with a deduced molecular weight of 15.7 kDa. This gene contains two exons and one intron, the latter located in the 5′untranslated (UTR) region (Figure 1A). The length of the 5′- and 3′-UTR are 326 and 100 nt, respectively. The 3′ UTR includes a consensus polyadenylation signal sequence (AATAAA) at nt 879. We identified nine half antioxidant responsive elements (hARE, TGACNNN) putative consensus sequences in both forward and reverse orientation, one full ARE (TGACNNNGC) and one XRE (TGCRCNC) all located in the 1 kb region upstream of the start codon (Table 1).
Figure 1. Gene architecture and phylogeny. (A) Arrangement of introns and exons in the studied sod isoforms. Exons are depicted as boxes, introns as black lines. For each gene, the coding sequence is indicated in black, the untranslated regions in grey. (B) Phylogenetic relationships among sod1 and sod3 of various organisms, reconstructed on the basis of cDNA sequences and using Bayesian Inference (BI) (arithmetic mean = −16,649.04; harmonic mean = −16,682.86) method. Posterior probability values higher than 50% are indicated on each node. The scale for branch length (1.0 substitution/site) is shown below the tree. NCBI Reference IDs for the considered sequences are available in Table S2 in Supplementary Material.
Table 1. Putative responsive elements.
Integrating information from available RNAseq datasets, we could identify two putative variants for tc-sodb, which we named tc-sodb1 and tc-sodb2 and that map in the same genomic region. While tc-sodb1 includes a 615 nt ORF, coding for a 204 aa protein with a deduced molecular weight of 21.4 kDa, tc-sodb2 includes a 501 nt ORF, coding for a 166 aa protein with a deduced molecular weight of 17.3 kDa. For tc-sodb1, the 5′- and 3′-UTR regions are 2,290 and 60 nt long, while the 5′- and 3′-UTR regions for the second transcript are 180 and 59 nt, respectively. The two transcripts display different exon–intron architectures. tc-sodb1 consists of five exons and four introns, of which the largest one (about 2 kb) is located in the 5′ UTR. Tc-sodb2 is a truncated form of tc-sodb1, consisting of three exons and two introns (Figure 1A). The 3′-UTR region of tc-sodb1 contains two polyadenylation consensus sequences at 825 and 851 nt, whereas tc-sodb2 contains only one such site at 721 nt. We identified two hARE sites in the 1 kb upstream of the tc-sodb genes (Table 1).
The third identified sod gene (tc-sodc) is characterised by a 684 nt ORF that encodes a 217 aa protein with a predicted molecular weight of 24.3 kDa. The 5′-UTR region for this gene is 662 nt and the 3′-UTR region is 36 nt long. tc-sodc consists of three exons and three introns: one of these introns is located in the 5′ UTR (Figure 1A). We identified one polyadenylation consensus sequence in the 3′ UTR of this gene at 1,239 nt. Our analysis identified two hARE in forward as well as three hARE in reverse orientation in the region upstream of the tc-sodc ORF (Table 1).
Evolutionary Relationship and Molecular Modelling
The deduced amino acid sequences of the four identified Cu,Zn SODs from T. castaneum were split into two groups for analyses of the predicted protein structure: tc-soda was found to correspond to other metazoan IC-SODs, whereas tc-sodb1, tc-sodb2, and tc-sodc were found belonging to metazoan EC-SODs. Accordingly, we identified a putative cleavage site for EC-SOD between residues 16 and 17 (TLA-TV) in Tc-SODb1 and 2, as well as between residues 19 and 20 (VQS-AS) in Tc-SODc, but not in Tc-SODa (Figure S1 in Supplementary Material).
Following our initial analysis, the predicted protein sequences of the considered SOD isoforms were aligned with the respective orthologues from other metazoan species with a confirmed crystallography structure (Figure S1 in Supplementary Material). Tc-SODa was compared with SOD1 sequences from Xenopus laevis (NCBI NP_001080933.1), Homo sapiens (NCBI ABL96616.1), and Bos taurus (PDB 1CB4), while Tc-SODb1, Tc-SODb2, and Tc-SODc were compared with SOD3 from Homo sapiens only, as this is the only metazoan species with a confirmed crystallographic structure for the EC-SOD (PDB 2JLP). The copper and zinc coordination environment and the active site are conserved in all compared sequences for SOD1 and 3. The 3/10 α-helix in the C-terminus is missing from Tc-SODb2 and Tc-SODc.
Figure 1B shows the SOD phylogenetic tree generated by the application of the Bayesian Inference (BI) method to the nucleotide sequences data set, while the respective phylogenetic analysis using amino acid sequences is reported in Figure S2 in Supplementary Material. As expected, both the cDNA and animo acid sequence-based phylogenetic trees group the intracellular isoform Tc-soda and extracellular isoform Tc-sodc with their respective orthologues from other species in taxonomic order (e.g., sod1 from the closely related species T. molitor forms one clade with our studied isoform). Most intriguing, the two variants of Tc-sodb do not fall into the group of Tenebrionidae, but seem to be more closely related to the EC-sod from the leaf beetle Phaedon cochleariae suggesting a gene duplication event of an ancestral EC-sod gene before the split of the recent coleopteran families (Figure 1B; Figure S2 in Supplementary Material).
Cu,Zn-SOD Gene Expression after Immune Priming and Challenge
In order to estimate the contribution of Cu,Zn SOD to immune priming, we conducted a full-factorial priming and challenge experiment following the protocol described in Section “Materials and Methods” (see Animals and Infection Protocol). The primed individuals survived the infection with Bt1 better than both priming control treatments (p < 0.05; Figure 2).
Figure 2. Survival 1-day post-infection (dpi). The proportion of individuals surviving following a challenge when they had been previously primed with heat-killed Bacillus thuringiensis [heat-killed Bt1 (hkBt1), dark grey], saline solution (PBS, light grey), or left untreated (Naive, white). Challenge treatments are indicated in the x-axis labels: Bt1 = injected with live B. thuringiensis, PBS = injected with saline solution, Naive = untreated control. The results are reported as mean of three independent experiments ± SE. Asterisk indicates significant differences within challenge treatments (*p < 0.05).
The Cu,Zn-SOD mRNA levels in all specimens were estimated by RT-qPCR 1 day after the infection. The relative expression of soda, sodb, and sodc is shown for each priming and challenge combination in Figure 3. soda mRNA levels increased for the priming condition when untreated and infected (Figure 3A; p < 0.05), but not in the wounding control (priming with PBS), while sodb only shows a statistically significant increase of mRNA expression when primed with hkBt1 in the non-challenged treatment, and only if compared with the wounding control (Figure 3B; p < 0.05). In contrast, the other gene that codes for SOD3, sodc, is down-regulated in all primed or challenged treatments, compared with the untreated control (naive/naive) (Figure 3C; p < 0.05). In order to quantify the immune activation due to the priming and/or challenge treatment, we also measured the mRNA expression of the gene for the AMP attacin (atta2), which was shown to strongly respond to immune insults. Indeed, atta2 mRNA levels remained low when the animals were unchallenged, but showed increased expression after both repeated wounding and after infection with Bt1 (Figure S3 in Supplementary Material, p < 0.05).
Figure 3. Expression of tc-soda (A), tc-sodb [both transcripts, (B)], and tc-sodc (C) in all the priming/challenge combinations 1-day post-infection. The results are reported as mean of three independent experiments ± SE. Asterisk: significant differences according to Student–Newman–Keuls t-test with respect to priming treatments within challenge treatment (p < 0.05).
The protein activity of SOD remained unchanged in animals without challenge compared with untreated controls (naive/naive) (Figure 4). In PBS challenged specimens, high-SOD activity was only observed in the experimental group that has not been wounded or primed (p < 0.05). In infected specimens, the expression pattern of SOD is reversed, resulting in an increase in both wounded and primed experimental groups when compared with the unprimed controls (p < 0.05).
Figure 4. Total superoxide dismutase (SOD) activity 1-day post-infection. The results are reported as mean of three independent experiments ± SE. Asterisk: significant differences according to Student–Newman–Keuls t-test with respect to priming treatments within challenge treatment (p < 0.05).
Discussion
In the present study, we comprehensively characterised Cu,Zn-SOD genes in the important pest species T. castaneum, which is an intensively used model organism for studies of immune priming, and then experimentally analysed the gene expression of these main components of the antioxidant system. The combination of in silico and mRNA expression data demonstrates the presence of one gene coding for IC-SOD (tc-soda) and two genes coding for EC-SOD (tc-sodb and tc-sodc). The two separated genomic regions containing tc-sodb and tc-sodc, might have resulted from a gene duplication event, that might have contributed to the functional specialisation of these two isoforms in T. castaneum, as previously demonstrated in unicellular eukaryotes for IC-SOD and others genes belonging to the antioxidant system (12, 52). In addition, we found that tc-sodb occurs in two variants, both of which experimentally confirmed by RTq-PCR (data not shown). The presence of two different mRNAs that map in the same genomic region is not unexpected per se. Due to the continued refinement of RNAseq technology, we are now able to identify alternative mRNA transcription, be it as a consequence of an alternative ORF or an intronic alternative polyadenylation recognition [for review see de Klerk and ’t Hoen (53)].
We offer two hypotheses for the redundancy of gene products for EC-SODs in T. castaneum. First, as a pest species, T. castaneum has been under strong selection pressure by pesticides. Especially, the entomopathogenic bacterium B. thuringensis has been used for more than 70 years in agriculture as an efficient bio-insecticide against T. castaneum. This constant exposure might have resulted in genotypic variation, which might have contributed to an increased tolerance to pesticides. This might explain our surprising finding of an unusual number of EC-SOD gene transcripts. In fact, as demonstrated in D. melanogaster, specific gene duplications can occur in insecticide target sites (e.g., the resistance to dieldrin genes, Rdl), offsetting the beneficial effect of an increased gene product and the negative effect of decreased overall fitness, resulting in a heritable heterozygosity (54). Similar variation in gene copy number of insecticide target sites have been described in aphids (55, 56) and mosquitoes (57). Although a previous study by Contreras et al. (58) found only a minor part of the proteome response of T. castaneum larvae to B. thuringiensis-derived endotoxins to consist of proteins with predicted antioxidant function, the question remains how representative this finding is of xenobiotic insecticides. While further studies are necessary to answer this question, it can still be argued that EC-SODs (tc-sodb and tc-sodc) might have been under stronger evolutionary constraints than the intracellular isoform (tc-soda), as a consequence of being target sites for insecticides.
A second hypothesis arises from the intriguing finding in our phylogenetic analysis, revealing that the two variants of tc-sodb are most closely related to the SOD3 isoforms of the mustard leaf beetle P. cochlearis. Interestingly, in this coleopteran species, substantial EC-SOD activity is found in the haemolymph as well as in the defensive secretions, and SOD-deficient larvae showed increased mortality when challenged with the entomopathogenic fungus Metarhizium anisopliae (59). Defensive secretions also play an important role in T. castaneum for the regulation of the flour microbiota (60, 61), but a potential role of SOD in these fluids needs to be further explored. As the flour microbiota directly contributes to the establishment of the gut microbiota in larvae and because the presence of the gut microbiota in T. castaneum is necessary for oral immune priming against B. t. tenebrionis (44), regulation of the flour microbiota might constitute a form of social immune priming.
Regarding gene architecture, there are considerable differences across the studied isoforms, not only in gene length but even more in the intron/exon distribution. Since Cu,Zn-SOD evolution is characterised by addition and fusion of exons in regions flanking the catalytic core (62), it is reasonable that the majority of differences were observed in intron distribution and length of the UTR regions. Interestingly, in the gene coding for IC-SOD, which is present in only one copy, only one intron is present, localised in the 5′UTR. This feature might be important in case of erroneous RNA splicing, as the retained intron would not disrupt the protein structure (conserved in T. castaneum, see Figure S1 in Supplementary Material) and ultimately the enzyme activity in the cytosol. In the promoter region of all tc-sods, we identified several putative hARE sites, whereas we found one ARE and XRE only in the case of tc-soda. Previous studies highlighted that, in invertebrates, a partial ARE sequence is sufficient to promote gene transcription in the presence of ROS (7, 11, 63). Therefore, we can hypothesise that also for T. castaneum, full ARE motifs are not required for the ROS-dependent gene transcription. The presence of a large variety and typology of ROS-related putative regulatory elements could confer to Tc-SODa a primary role in the intra-cytoplasmic environmental protection against multiple oxidative stress risk, such as xenobiotic exposure (64).
It has been suggested that ROS might play a role during oral priming responses in T. castaneum (38). However, details about infection route dependency and molecular underpinnings, in particular those regarding the potential role of Cu,Zn-SOD genes, were so far lacking. In this work, we have shown for the first time that the priming phenotype in T. castaneum, previously obtained by septic pricking (26), can also be induced by haemocoelic injection of B. thuringiensis strain DZSM 2046 (Bt1). Moreover, we found that Tc-sod genes can be induced by such immune insults, potentially through activation via the regulatory elements described above. In fact, we detected not only basal transcription of all isoforms in the control specimens (naive/naive), but also a modulation of this transcription in response to septic priming (PBS and hkBt1) and challenge treatments (PBS and live Bt1). The transcription of the IC-SOD (tc-soda) was up-regulated after priming with hkBt1 (Figure 3A). This priming response was most visible in animals that were left naive for challenge, but was also still significant in animals that were subsequently challenged with live B. thuringiensis (Bt1). Notably, a simple wounding (PBS priming) did not lead to any significant up-regulation of tc-soda. In contrast, the priming-induced up-regulation of the transcription of the EC-SOD tc-sodb (total mRNA accumulation for transcript one and two), was only visible in animals that were left naive for challenge. Surprisingly, the second EC-SOD (tc-sodc) showed a differing pattern of down-regulation in all priming and/or challenge treatments compared with fully naive animals. One potential scenario is that tc-soda is up-regulated to protect hosts from the infection-induced •O2− formation, while the extracellular isoforms are either down-regulated (tc-sodc) or remain mainly transcribed constitutively. This might decelerate the elimination of antimicrobial ROS from the intercellular space (and potentially even in the defensive secretions), while preserving cell viability during infections in T. castaneum, ultimately contributing to the overall survival of the host during bacterial infection.
It is noteworthy that the immune-regulatory signal of priming on SOD gene transcription differed from the transcription profile of the AMP gene atta2, which mostly showed the expected typical pattern of up-regulation after wounding or bacterial challenge, but did not respond in animals that were primed but left naive for challenge. The role of SOD’s can be viewed as regulators of ROS, and are therefore not directly comparable with immune effector molecules such as AMP’s. This result is in line with what has been reported recently by Tate et al., where atta2 expression during B. thuringiensis infection of T. castaneum was highly dependent on bacterial load, while other, metabolic pathways that seem involved in a broader priming effect are not effected by the concentration of bacteria (32, 65). These observations support the view that immune priming represents a specific form of anticipatory response that is different from a simple low-level infection (i.e., challenge) response, as has also been suggested for oral immune priming (38). Unfortunately, our data does not allow for the same level of discrimination between IC- and EC-SOD protein activity, but we confirmed that a priming effect depended on the following challenge: SOD activity was increased in animals that had been primed by both wounding or heat-killed bacteria, but only in those animals, which were later challenged with live bacteria, while this pattern was reversed in animals that received PBS for challenge (Figure 4). While we would have expected a comparatively high level of cumulative SOD activity for the entire Bt1 challenge group, the observed lower SOD activity in the naive/Bt1 group might be the result of an inhibition that could be due to a potential production of H2O2 during infection. In fact, it is well known that high concentrations of H2O2 inhibit the enzymatic activity of Cu,Zn SODs in vivo (66–68). Such a treatment-specific SOD inactivation in the naive primed group, would imply that the concentration of ROS, and more specifically H2O2, is an important component of the innate defence mechanism against B. thuringiensis in T. castaneum. Future studies will allow us to better understand the fate and potential role of H2O2 produced by SOD activation during immune priming, especially since this metabolite is strongly involved in signalling (69–71) and immunity (14) in vertebrates and invertebrates.
In conclusion, the expression of Cu,Zn-SOD genes is affected by immune priming and challenge in T. castaneum. Moreover, our findings support the current idea that priming is a specific reaction that is qualitatively different from a simple low-level immune activation (33, 38) and even involves the overall physiological response. The maintenance of ROS homoeostasis in eukaryotes, is an evolutionary ancient mechanism (72), that is, coadapted as a vital part of innate immunity. This might be another indication that the production of ROS is not only harmful, but can also be desirable to the host (2), especially in an infection scenario. Now that we recognised the potential involvement of the antioxidant system in immune priming, many new questions arise that call for future investigations, e.g., the potential role of peroxide-induced signalling. Indeed, further functional characterisation of the various identified SOD isoforms (as well as other components of the antioxidant system), for example, by RNAi could elucidate their role for immune priming. Finally, we would like to highlight the importance of incorporating both the pre- and post-transcription level of expression into studies of functional genetics for immune-related phenotypes, which will become more prominent in the near future, benefitting from a wealth of recent NGS studies.
Ethics Statement
This work involved an invertebrate species. No ethical permit is needed according to German law.
Author Contributions
DF conceived the study. KF, DF, and JK designed the experiments. KF, DF, FC, and GS performed the experiments and assays. DF performed in silico characterisation of sod genes. RB reconstructed the phylogenetic trees. KF, DF, and GS analysed the data. All authors contributed to writing the manuscript and gave final approval for publication.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The reviewer IE and handling editor declared their shared affiliation.
Acknowledgments
We would like to thank Barbara Hasert for providing experimental support. We are grateful to all reviewers for their helpful comments.
Funding
This work was supported by grant KU 1929/4-2 to JK within the DFG priority programme 1399 “Host-parasite coevolution.” We acknowledge support by the Open Access Publication Fund of the University of Münster.
Supplementary Material
The Supplementary Material for this article can be found online at http://www.frontiersin.org/articles/10.3389/fimmu.2017.01811/full#supplementary-material.
Footnotes
References
1. Halliwell B, Gutteridge JM. Oxygen toxicity, oxygen radicals, transition metals and disease. Biochem J (1984) 219:1–14. doi:10.1016/j.siny.2010.04.003
2. Kamata H, Hirata H. Redox regulation of cellular signalling. Cell Signal (1999) 11:1–14. doi:10.1016/S0898-6568(98)00037-0
3. D’Autréaux B, Toledano MB. ROS as signalling molecules: mechanisms that generate specificity in ROS homeostasis. Nat Rev Mol Cell Biol (2007) 8:813–24. doi:10.1038/nrm2256
4. Schieber M, Chandel NS. ROS function in redox signaling and oxidative stress. Curr Biol (2014) 24:R453–62. doi:10.1016/j.cub.2014.03.034
5. Valko M, Leibfritz D, Moncol J, Cronin MT, Mazur M, Telser J. Free radicals and antioxidants in normal physiological functions and human disease. Int J Biochem Cell Biol (2007) 39:44–84. doi:10.1016/j.biocel.2006.07.001
6. Mikonranta L, Mappes J, Kaukoniitty M, Freitak D. Insect immunity: oral exposure to a bacterial pathogen elicits free radical response and protects from a recurring infection. Front Zool (2014) 11:23. doi:10.1186/1742-9994-11-23
7. Ferro D, Franchi N, Mangano V, Bakiu R, Cammarata M, Parrinello N, et al. Characterization and metal-induced gene transcription of two new copper zinc superoxide dismutases in the solitary ascidian Ciona intestinalis. Aquat Toxicol (2013) 14(0–141):369–79. doi:10.1016/j.aquatox.2013.06.020
8. Picot CR, Moreau M, Juan M, Noblesse E, Nizard C, Petropoulos I, et al. Impairment of methionine sulfoxide reductase during UV irradiation and photoaging. Exp Gerontol (2007) 42:859–63. doi:10.1016/j.exger.2007.02.006
9. Santovito G, Cassini A, Piccinni E. Cu,Zn superoxide dismutase from Trematomus bernacchii: functional conservation and erratic molecular evolution in Antarctic teleosts. Comp Biochem Physiol C Toxicol Pharmacol (2006) 143:444–54. doi:10.1016/j.cbpc.2006.04.007
10. Tolomeo AM, Carraro A, Bakiu R, Toppo S, Place SP, Ferro D, et al. Peroxiredoxin 6 from the Antarctic emerald rockcod: molecular characterization of its response to warming. J Comp Physiol B (2016) 186:59–71. doi:10.1007/s00360-015-0935-3
11. Franchi N, Ferro D, Ballarin L, Santovito G. Transcription of genes involved in glutathione biosynthesis in the solitary tunicate Ciona intestinalis exposed to metals. Aquat Toxicol (2012) 11(4–115):14–22. doi:10.1016/j.aquatox.2012.02.007
12. Ferro D, Bakiu R, De Pittà C, Boldrin F, Cattalini F, Pucciarelli S, et al. Cu,Zn superoxide dismutases from Tetrahymena thermophila: molecular evolution and gene expression of the first line of antioxidant defenses. Protist (2015) 166:131–45. doi:10.1016/j.protis.2014.12.003
13. Blokhina O, Virolainen E, Fagerstedt KV. Antioxidants, oxidative damage and oxygen deprivation stress: a review. Ann Bot (2003) 91:179–94. doi:10.1093/aob/mcf118
14. Kohchi C, Inagawa H, Nishizawa T, Soma GI. ROS and innate immunity. Anticancer Res (2009) 29:817–21.
15. Ricci F, Lauro F, Grzymski J, Read R, Bakiu R, Santovito G, et al. The anti-oxidant defense system of the marine polar ciliate Euplotes nobilii: characterization of the MsrB gene family. Biology (Basel) (2017) 6:4. doi:10.3390/biology6010004
16. Formigari A, Boldrin F, Santovito G, Cassidy-Hanley D, Clark TG, Piccinni E. Functional characterization of the 5’-upstream region of MTT5 metallothionein gene from Tetrahymena thermophila. Protist (2010) 161:71–7. doi:10.1016/j.protis.2009.06.002
17. Sattin G, Bakiu R, Tolomeo AM, Carraro A, Coppola D, Ferro D, et al. Characterization and expression of a new cytoplasmic glutathione peroxidase 1 gene in the Antarctic fish Trematomus bernacchii. Hydrobiologia (2015) 761:363–72. doi:10.1007/s10750-015-2488-6
18. Behrens S, Peuß R, Milutinovi B, Eggert H, Esser D, Rosenstiel P, et al. Infection routes matter in population-specific responses of the red flour beetle to the entomopathogen Bacillus thuringiensis. BMC Genomics (2014) 15:445. doi:10.1186/1471-2164-15-445
19. Ha EM, Oh CT, Ryu JH, Bae YS, Kang SW, Jang IH, et al. An antioxidant system required for host protection against gut infection in Drosophila. Dev Cell (2005) 8:125–32. doi:10.1016/j.devcel.2004.11.007
20. Pavani A, Chaitanya RK, Chauhan VK, Dasgupta A, Dutta-Gupta A. Differential oxidative stress responses in castor semilooper, Achaea janata. J Invertebr Pathol (2015) 132:157–64. doi:10.1016/j.jip.2015.10.002
21. Belikov AV, Schraven B, Simeoni L. T cells and reactive oxygen species. J Biomed Sci (2015) 22:85. doi:10.1186/s12929-015-0194-3
22. Gmünder H, Eck HP, Benninghoff B, Roth S, Dröge W. Macrophages regulate intracellular glutathione levels of lymphocytes. Evidence for an immunoregulatory role of cysteine. Cell Immunol (1990) 129:32–46. doi:10.1016/0008-8749(90)90184-S
23. Murphy MP, Siegel RM. Mitochondrial ROS fire up T cell activation. Immunity (2013) 38:201–2. doi:10.1016/j.immuni.2013.02.005
24. Milutinović B, Kurtz J. Immune memory in invertebrates. Semin Immunol (2016) 28:328–42. doi:10.1016/j.smim.2016.05.004
25. Kurtz J. Specific memory within innate immune systems. Trends Immunol (2005) 26:186–92. doi:10.1016/j.it.2005.02.001
26. Roth O, Sadd BM, Schmid-Hempel P, Kurtz J. Strain-specific priming of resistance in the red flour beetle, Tribolium castaneum. Proc Biol Sci (2009) 276:145–51. doi:10.1098/rspb.2008.1157
27. Milutinović B, Fritzlar S, Kurtz J. Increased survival in the red flour beetle after oral priming with bacteria-conditioned media. J Innate Immun (2014) 6:306–14. doi:10.1159/000355211
28. Roth O, Joop G, Eggert H, Hilbert J, Daniel J, Schmid-Hempel P, et al. Paternally derived immune priming for offspring in the red flour beetle, Tribolium castaneum. J Anim Ecol (2010) 79:403–13. doi:10.1111/j.1365-2656.2009.01617.x
29. Eggert H, Kurtz J, Diddens-de Buhr MF. Different effects of paternal trans-generational immune priming on survival and immunity in step and genetic offspring. Proc Biol Sci (2014) 281:20142089. doi:10.1098/rspb.2014.2089
30. Kurtz J. Memory in the innate and adaptive immune systems. Microbes Infect (2004) 6:1410–7. doi:10.1016/j.micinf.2004.10.002
31. Milutinović B, Peuß R, Ferro K, Kurtz J. Immune priming in arthropods: an update focusing on the red flour beetle. Zoology (2016) 119:254–61. doi:10.1016/j.zool.2016.03.006
32. Tate AT, Andolfatto P, Demuth JP, Graham AL. The within-host dynamics of infection in trans-generationally primed flour beetles. Mol Ecol (2017) 26:3794–807. doi:10.1111/mec.14088
33. Pinaud S, Portela J, Duval D, Nowacki FC, Olive M-A, Allienne J-F, et al. A shift from cellular to humoral responses contributes to innate immune memory in the vector snail Biomphalaria glabrata. PLoS Pathog (2016) 12:e1005361. doi:10.1371/journal.ppat.1005361
34. Uttenweiler-Joseph S, Moniatte M, Lagueux M, Van Dorsselaer A, Hoffmann JA, Bulet P. Differential display of peptides induced during the immune response of Drosophila: a matrix-assisted laser desorption ionization time-of-flight mass spectrometry study. Proc Natl Acad Sci U S A (1998) 95:11342–7. doi:10.1073/pnas.95.19.11342
35. Moret Y, Siva-Jothy MT. Adaptive innate immunity? Responsive-mode prophylaxis in the mealworm beetle, Tenebrio molitor. Proc Biol Sci (2003) 270:2475–80. doi:10.1098/rspb.2003.2511
36. Pham LN, Dionne MS, Shirasu-Hiza M, Schneider DS. A specific primed immune response in Drosophila is dependent on phagocytes. PLoS Pathog (2007) 3:e26. doi:10.1371/journal.ppat.0030026
37. Vilcinskas A. The role of epigenetics in host-parasite coevolution: lessons from the model host insects Galleria mellonella and Tribolium castaneum. Zoology (Jena) (2016) 119(4):273–80. doi:10.1016/j.zool.2016.05.004
38. Greenwood JM, Milutinović B, Peuß R, Behrens S, Esser D, Rosenstiel P, et al. Oral immune priming with Bacillus thuringiensis induces a shift in the gene expression of Tribolium castaneum larvae. BMC Genomics (2017) 18:329. doi:10.1186/s12864-017-3705-7
39. Miller AF. Superoxide dismutases: ancient enzymes and new insights. FEBS Lett (2012) 586:585–95. doi:10.1016/j.febslet.2011.10.048
40. Lee YM, Friedman DJ, Ayala FJ. Superoxide dismutase: an evolutionary puzzle. Proc Natl Acad Sci U S A (1985) 82:824–8. doi:10.1073/pnas.82.3.824
41. Fridovich I. Superoxide radical and superoxide dismutases. Annu Rev Biochem (1995) 64:97–112. doi:10.1146/annurev.bi.64.070195.000525
42. Ganguly K, Depner M, Fattman C, Bein K, Oury TD, Wesselkamper SC, et al. Superoxide dismutase 3, extracellular (SOD3) variants and lung function. Physiol Genomics (2009) 37:260–7. doi:10.1152/physiolgenomics.90363.2008
43. Milutinović B, Stolpe C, Peuß R, Armitage SAO, Kurtz J. The red flour beetle as a model for bacterial oral infections. PLoS One (2013) 8:e64638. doi:10.1371/journal.pone.0064638
44. Futo M, Armitage SAO, Kurtz J. Microbiota plays a role in oral immune priming in Tribolium castaneum. Front Microbiol (2016) 6:1383. doi:10.3389/fmicb.2015.01383
45. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and. Methods (2001) 25:402–8. doi:10.1006/meth.2001.1262
46. Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res (2004) 32:1792–7. doi:10.1093/nar/gkh340
47. Arnold K, Bordoli L, Kopp J, Schwede T. The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling. Bioinformatics (2006) 22:195–201. doi:10.1093/bioinformatics/bti770
48. Notredame C, Higgins DG, Heringa J. T-coffee: a novel method for fast and accurate multiple sequence alignment. J Mol Biol (2000) 302:205–17. doi:10.1006/jmbi.2000.4042
49. Darriba D, Taboada GL, Doallo R, Posada D. jModelTest 2: more models, new heuristics and parallel computing. Nat Methods (2012) 9:772–772. doi:10.1038/nmeth.2109
50. Lowry O, Rosebrough N, Farr L, Randall R. Protein measurement with the folin phenol reagent. Anal Biochem (1994) 217:220–30. doi:10.1016/0304-3894(92)87011-4
51. Santovito G, Piccinni E, Boldrin F, Irato P. Comparative study on metal homeostasis and detoxification in two Antarctic teleosts. Comp Biochem Physiol C Toxicol Pharmacol (2012) 155:580–6. doi:10.1016/j.cbpc.2012.01.008
52. Santovito G, Formigari A, Boldrin F, Piccinni E. Molecular and functional evolution of Tetrahymena metallothioneins: new insights into the gene family of Tetrahymena thermophila. Comp Biochem Physiol C Toxicol Pharmacol (2007) 144:391–7. doi:10.1016/j.cbpc.2006.11.010
53. de Klerk E, ’t Hoen PAC. Alternative mRNA transcription, processing, and translation: insights from RNA sequencing. Trends Genet (2015) 31:128–39. doi:10.1016/j.tig.2015.01.001
54. Remnant EJ, Good RT, Schmidt JM, Lumb C, Robin C, Daborn PJ, et al. Gene duplication in the major insecticide target site, Rdl, in Drosophila melanogaster. Proc Natl Acad Sci U S A (2013) 110:14705–10. doi:10.1073/pnas.1311341110
55. Anthony N, Unruh T, Ganser D, Ffrench-Constant R. Duplication of the Rdl GABA receptor subunit gene in an insecticide-resistant aphid, Myzus persicae. Mol Gen Genet (1998) 260:165–75. doi:10.1007/s004380050882
56. Bass C, Field LM. Gene amplification and insecticide resistance. Pest Manag Sci (2011) 67:886–90. doi:10.1002/ps.2189
57. Hemingway J, Hawkes N, Prapanthadara L, Jayawardenal KG, Ranson H. The role of gene splicing, gene amplification and regulation in mosquito insecticide resistance. Philos Trans R Soc Lond B Biol Sci (1998) 353:1695–9. doi:10.1098/rstb.1998.0320
58. Contreras E, Rausell C, Real MD. Proteome response of Tribolium castaneum larvae to Bacillus thuringiensis toxin producing strains. PLoS One (2013) 8:e55330. doi:10.1371/journal.pone.0055330
59. Gretscher RR, Streicher PE, Strauß AS, Wielsch N, Stock M, Wang D, et al. A common theme in extracellular fluids of beetles: extracellular superoxide dismutases crucial for balancing ROS in response to microbial challenge. Sci Rep (2016) 6:24082. doi:10.1038/srep24082
60. Joop G, Roth O, Schmid-Hempel P, Kurtz J. Experimental evolution of external immune defences in the red flour beetle. J Evol Biol (2014) 27:1562–71. doi:10.1111/jeb.12406
61. Li J, Lehmann S, Weißbecker B, Ojeda Naharros I, Schütz S, Joop G, et al. Odoriferous defensive stink gland transcriptome to identify novel genes necessary for quinone synthesis in the red flour beetle, Tribolium castaneum. PLoS Genet (2013) 9:e1003596. doi:10.1371/journal.pgen.1003596
62. Zelko IN, Mariani TJ, Folz RJ. Superoxide dismutase multigene family: a comparison of the CuZn-SOD (SOD1), Mn-SOD (SOD2), and EC-SOD (SOD3) gene structures, evolution, and expression. Free Radic Biol Med (2002) 33:337–49. doi:10.1016/S0891-5849(02)00905-X
63. Franchi N, Piccinni E, Ferro D, Basso G, Spolaore B, Santovito G, et al. Characterization and transcription studies of a phytochelatin synthase gene from the solitary tunicate Ciona intestinalis exposed to cadmium. Aquat Toxicol (2014) 152:47–56. doi:10.1016/j.aquatox.2014.03.019
64. Nguyen T, Nioi P, Pickett CB. The Nrf2-antioxidant response element signaling pathway and its activation by oxidative stress. J Biol Chem (2009) 284:13291–5. doi:10.1074/jbc.R900010200
65. Tate AT, Graham AL. Dissecting the contributions of time and microbe density to variation in immune gene expression. Proc Biol Sci (2017) 284:20170727. doi:10.1098/rspb.2017.0727
66. Hodgson EK, Fridovich I. The interaction of bovine erythrocyte superoxide dismutase with hydrogen peroxide: chemiluminescence and peroxidation. Biochemistry (1975) 14:5299–303. doi:10.1021/bi00695a011
67. Kayali HA, Tarhan L. Influence of zinc and copper ions on metals transport, antioxidant system responses and membrane LPO levels of F. equiseti and F. acuminatum. Enzyme Microb Technol (2003) 33:828–35. doi:10.1016/S0141-0229(03)00250-3
68. Gottfredsen RH, Larsen UG, Enghild JJ, Petersen SV. Hydrogen peroxide induce modifications of human extracellular superoxide dismutase that results in enzyme inhibition. Redox Biol (2013) 1:24–31. doi:10.1016/j.redox.2012.12.004
69. Pillay CS, Eagling BD, Driscoll SR, Rohwer JM. Quantitative measures for redox signaling. Free Radic Biol Med (2016) 96:290–303. doi:10.1016/j.freeradbiomed.2016.04.199
70. Lee J, Giordano S, Zhang J. Autophagy, mitochondria and oxidative stress: cross-talk and redox signalling. Biochem J (2012) 441:523–40. doi:10.1042/bj20111451
71. Holmström KM, Finkel T. Cellular mechanisms and physiological consequences of redox-dependent signalling. Nat Rev Mol Cell Biol (2014) 15:411–21. doi:10.1038/nrm3801
Keywords: superoxide dismutase, Bacillus thuringiensis, immune priming, Tribolium castaneum, innate immunity, reactive oxygen species
Citation: Ferro K, Ferro D, Corrà F, Bakiu R, Santovito G and Kurtz J (2017) Cu,Zn Superoxide Dismutase Genes in Tribolium castaneum: Evolution, Molecular Characterisation, and Gene Expression during Immune Priming. Front. Immunol. 8:1811. doi: 10.3389/fimmu.2017.01811
Received: 24 September 2017; Accepted: 01 December 2017;
Published: 18 December 2017
Edited by:
L. Courtney Smith, George Washington University, United StatesReviewed by:
Carolina Tafalla, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), SpainAlison Kell, University of Washington, United States
Ioannis Eleftherianos, George Washington University, United States
Copyright: © 2017 Ferro, Ferro, Corrà, Bakiu, Santovito and Kurtz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Diana Ferro, ZGZlcnJfMDEmI3gwMDA0MDt1bmktbXVlbnN0ZXIuZGU=;
Joachim Kurtz, am9hY2hpbS5rdXJ0eiYjeDAwMDQwO3VuaS1tdWVuc3Rlci5kZQ==
†These authors contributed equally as first authors.
‡These authors contributed equally as last authors.