Abstract
Epigenetic mechanisms, such as CpG DNA methylation enable phenotypic plasticity and rapid adaptation to changing environments. CpG DNA methylation is established by DNA methyltransferases (DNMTs), which are well conserved across vertebrates and invertebrates. There are insects with functional DNA methylation despite lacking a complete set of Dnmts. But at least one of the enzymes, DNMT1, appears to be required to maintain an active DNA methylation system. The red flour beetle, Tribolium castaneum, lacks Dnmt3 but possesses Dnmt1 and it has been controversial whether it has a functional DNA methylation system. Using whole genome bisulfite sequencing, we did not find any defined patterns of CpG DNA methylation in embryos. Nevertheless, we found Dnmt1 expressed throughout the entire life cycle of the beetle, with mRNA transcripts significantly more abundant in eggs and ovaries. A maternal knockdown of Dnmt1 caused a developmental arrest in offspring embryos. We show that Dnmt1 plays an essential role in T. castaneum embryos and that its downregulation leads to an early developmental arrest. This function appears to be unrelated to DNA methylation, since we did not find any evidence for this modification. This strongly suggests an alternative role of this protein.
Introduction
Phenotypic plasticity is enabled by epigenetic mechanisms, which help the organism to adapt rapidly to changing environmental conditions without affecting the underlying genotype1. One of these mechanisms is DNA methylation, which in insects is associated with a wide variety of phenotypically plastic traits2,3. In eusocial insects, caste formation can correlate with differential DNA methylation patterns4–6. One of the first examples for functional DNA methylation in insects was the discovery that the downregulation of the methylation machinery in honey bee larvae caused them to develop into a queen-like phenotype, which is naturally established by the feeding on royal jelly7. Furthermore, DNA methylation patterns do not only differ between the brains of queens and workers5, but also within the worker caste, where they have been associated with different tasks performed by the worker bee8. Additionally, these epigenetic marks appear to be reversible if the individual has to switch its task9. Furthermore, in two ant species the same set of genes was differentially methylated according to developmental stage and caste6. DNA methylation can also be observed in non-social insects and may contribute to the striking phase polyphenism between solitary and gregariously living migratory locusts10,11. On the other hand, it also has been suggested that DNA methylation can have a more general, basic role in insects and it might function in more ubiquitously essential processes, e.g. embryonic development, genomic imprinting and alternative splicing6,12–15.
Insect methylation patterns can be highly diverse15,16. In cockroaches and some lepidopterans, DNA methylation can reach levels similar to those observed in vertebrates and plants15,17. This is also true for some regions of the genome of the stick insect, but here in addition to gene bodies also repetitive elements are strongly methylated18. In contrast, holometabolous insects possess sparser DNA methylation than vertebrates15,16,19. Most of these insects also differ from mammals in the location of their methylation marks, as the majority of CpG methylation occurs within gene bodies6,20,21. The placement of methyl groups at these mostly intragenic loci could hint at its possible role in alternative splicing22.
In invertebrates and vertebrates alike, the same conserved set of enzymes adds methyl groups to cytosines followed by a guanine (CpG)23. The resulting CpG DNA methylation patterns are therefore symmetrical on both strands of the DNA. In most cases, two DNA methyltransferases (DNMTs) are needed to sustain functional CpG DNA methylation. DNA methyltransferase 1 (DNMT1) is responsible for maintaining pre-existing methylation patterns by methylating hemimethylated DNA after replication, while DNA methyltransferase 3 (DNMT3) establishes new methylation patterns on previously unmethylated cytosines23. Previously, it was thought that a third enzyme, DNMT2, was also involved in DNA methylation because of sequence conservation and the fact that it also contains a cytosine methylase domain24. However, several studies have shown that this enzyme methylates small RNAs, especially tRNA24,25. Furthermore, organisms that lack Dnmt1 and 3, but contain Dnmt2 do not possess a functional DNA methylation system24,26,27.
The distribution of Dnmts in insects is quite diverse. While many insects, especially eusocial species, have a complete set of Dnmts, some with an expansion in copies for Dnmt1, other insects completely or partially lack Dnmts and some also fail to produce functional levels of DNA methylation15,19,28. Diptera appear to have lost both Dnmt1 and Dnmt3 and with it any relevant CpG DNA methylation15,16. Some insect species including examples from Coleoptera, Hemiptera, Lepidoptera and even social Hymenoptera are lacking a gene encoding for DNMT315,29–31. Nevertheless, several of them may show levels of DNA methylation, which presented either directly in sequencing studies or were deduced from the CpG depletion in their genomes15,16,30. Thus, the question arises, how a functional DNA methylation system can be sustained in the absence of an enzyme able of de novo methylation. It has been suggested that DNMT1 could take over this function, but to the best of our knowledge there are no studies demonstrating this.
The status of a functional DNA methylation system in the red flour beetle Tribolium castaneum has been controversially discussed over the past years. T. castaneum has an incomplete set of DNA methyltransferases, lacking Dnmt315,29. But Dnmt1 can be found in the beetles genome, is expressed and the protein has the commonly observed domain structure29,32. Over evolutionary time, the mutagenic effect of a methyl group attached to a cytosine leads to a depletion of CpGs from the genome33. However, the beetles’ genes do not exhibit the bimodal distribution of normalized CpG content associated with the presence of DNA methylation in other insects4,15. Additionally, in adult beetles, low-coverage whole-genome bisulfite sequencing (WGBS), which reveals methylation at single-base resolution, could not detect any defined patterns of CpG DNA methylation19. On the other hand, using an approach based on methylation sensitive restriction endonucleases, which lacks the sensitivity and specificity of WGBS, Feliciello et al.34 found evidence for DNA methylation in early embryos, whereas larvae, pupae and adults were found to be mostly devoid of methylation. While this raised the possibility of an active demethylation process in later developmental stages, resembling the epigenetic reprogramming in mammalian embryos35,36, additional bisulfite sequencing of satellite DNA indicated that these fragments remain heavily methylated throughout the entire lifetime of the individual, even in non-CpG contexts34. Furthermore, another study based on bisulfite sequencing also found DNA methylation outside the context of CpG and mostly at CpA32.
The controversial evidence of CpG DNA methylation in T. castaneum demands for additional, functional studies in this important insect model organism. In T. castaneum we observe phenotypic plasticity in the form of immune priming, i.e. a more successful response to a pathogen at a secondary exposure37. This immune priming can be maternally and paternally transferred to the offspring38–40, which makes the involvement of epigenetic modifications in this phenomenon likely. Besides other epigenetic mechanisms, DNA methylation and its facilitating enzymes have been indicated to play a role in the evolution of resistance and the rapid adaption we see during host-parasite co-evolution41,42. Therefore, we here investigate the existence of CpG DNA methylation and the role of Dnmt1 in T. castaneum using WGBS and knockdown of Dnmt1 using maternal RNAi.
Results
WGBS confirms the absence of CpG methylation in Tribolium eggs
To detect CpG DNA methylation at single base resolution, we performed WGBS on two replicates of pooled eggs, which gave us a six-fold coverage of the entire genome. We obtained 27,368,699 read pairs and 35,179,643 read pairs from the replicates respectively. The conversion rate of cytosine to uracil by the bisulfite treatment was 99.59% and 99.58% for the mapped reads for replicate one and two, respectively. For sites containing at least one unconverted cytosine the mean level of non-conversion was 0.3%. Only 1038 partially unconverted CpGs occurred at the same site in both replicates. Overall 0.1% of the cytosines at these sites were unconverted. Only 84 (8.1%) of the sites with unconverted cytosines that were observed in both replicates mapped on a chromosome, while the rest was derived from unmapped regions. We also observed a highly significantly negative correlation between the fold coverage and the proportion of unconverted cytosines observed at the same CpG site (rho = −0.925, n = 1038, p < 0.001, Fig. 1). This implies that the cytosines that remain after the bisulfite treatment can be either attributed to incomplete conversion or sequencing errors and therefore no CpG DNA methylation is present in the embryos.
Expression of Dnmt1
To investigate the expression of Dnmt1 across the entire life cycle of the beetle we analysed samples of eggs, larvae, pupae and adults via RT qPCR. We used equal numbers of male and female adults and pupae, while sex was not determined for eggs and larvae. All samples examined during this study contained measurable amounts of Dnmt1 mRNA. The expression of Dnmt1 was significantly higher in the eggs compared to whole body samples from adult beetles (Table 1). In larvae and pupae, we found Dnmt1 to be expressed at similar levels as in the adult samples (Table 1). This suggested that Dnmt1 might have a function throughout the whole life of the beetle.
Table 1.
relative expression of Dnmt1 | 95% C. l. | n | p value | |
---|---|---|---|---|
Life stages (relative to adults) | ||||
eggs | 1.660 | 1.027–3.144 | 4 | 0.004 |
larvae | 0.818 | 0.511–1.555 | 8 | 0.063 |
pupae | 0.794 | 0.390–1.784 | 8 | 0.176 |
adults | 1.000 | 0.535–1.878 | 8 | 0.997 |
Gonads (relative to whole-body samples) | ||||
male | 1.382 | 1.008–1.828 | 4 | 0.056 |
female | 1.841 | 1.434–2.226 | 4 | 0.018 |
RNAi (relative to treatment control) | ||||
Females | ||||
Dnmt1 construct a | 0.680 | 0.301–1.226 | 11 | 0.002 |
naive | 1.012 | 0.543–1.883 | 12 | 0.904 |
Eggs | ||||
Dnmt1 construct a | 0.442 | 0.226–0.753 | 3 | 0.025 |
naive | 1.062 | 0.458–2.062 | 3 | 0.869 |
Females | ||||
Dnmt1 construct a | 0.646 | 0.553–0.752 | 4 | 0.011 |
Dnmt1 construct b | 0.703 | 0.536–0.906 | 4 | 0.021 |
naive | 1.007 | 0.865–1.199 | 4 | 0.856 |
Males | ||||
Dnmt1 construct a | 0.686 | 0.542–0.822 | 3 | <0.001 |
naive | 1.062 | 0.853–1.312 | 3 | 0.458 |
We dissected virgin beetles of both sexes to investigate the expression of Dnmt1 in the gonads. Any involvement in transgenerational processes would probably require the expression of the gene in the reproductive tissues so that mRNAs could be passed on to the offspring. In the female samples Dnmt1 was significantly upregulated in the ovaries, while there was no significant difference in the expression of Dnmt1 between the testes and whole-body samples in the males (Table 1).
Knockdown via maternal RNAi affects development and fecundity
To investigate possible functions of Dnmt1 a knockdown via maternal RNAi was established. Firstly, we confirmed that the injection of Dnmt1 dsRNA into female pupae led to a significant down-regulation in comparison to RNAi control injections, as measured by RT qPCR in the adult beetles. The treatment with Dnmt1 dsRNA significantly reduced the expression of the target gene compared to the RNAi control, while expression did not differ significantly between the untreated and RNAi control (Table 1). The knockdown was also transferred to the offspring, as the eggs of treated mothers showed significantly reduced amounts of Dnmt1 dsRNA compared to eggs from the RNAi control (Table 1).
Furthermore, Dnmt1 knockdown significantly reduced the eclosion rate from pupae to imago (GLMM with binomial data distribution, df = 2, Χ2 = 146.2, p < 0.001), suggesting that the protein plays a role in metamorphosis. Following Dnmt1 knockdown, the eclosion rate three days post injection was 80%, which was significantly lower than for the RNAi control (90%) (Tukey’s HSD: z = 6.93, p < 0.001; Fig. 2a). The naïve control achieved 96% survival, which is significantly better than the RNAi control (Tukey’s HSD: z = −4.74, p < 0.001; Fig. 2a). This can be explained by the absence of injection wounds in these animals.
We determined the fecundity of the treated beetles, by calculating hatching rates for one hundred eggs per treatment and experimental replicate. This showed that the fitness of the females, which had received the Dnmt1 knockdown treatment was severely affected, as the hatching rate of their offspring was significantly reduced and only 13% of larvae hatched, compared to 69% in both controls (GLMM with binomial data distribution, df = 2, Χ2 = 274.46, p < 0.001; Tukey HSD: Dnmt1 – RNAi control z = 12.7, p < 0.001, Dnmt1 – naïve z = 12.8, p < 0.001, Fig. 2b).
To confirm that the observed reduced fecundity was produced by the knockdown of Dnmt1 and not any potential off-target effect on a different gene, we used a second non-overlapping construct. This construct also caused a significant downregulation in adults (Table 1) and significantly reduced female fecundity (Kruskal-Wallis df = 3, Χ2 = 40.7, p < 0.001, Fig. 2c) compared to the naïve (Construct a: W = 731.5, p < 0.001, Construct b: W = 675.5, p = 0.001) and RNAi control (Construct a: W = 553.5, p < 0.001, Construct b: W = 470, p = 0.03). The two controls did not differ significantly from each other (W = 301, p = 0.44).
Additionally, we also investigated the effect of Dnmt1 expression on male fertility. A knockdown in male pupae significantly reduced Dnmt1 expression in the adults (Table 1) but did not reduce their fertility over the first nine days of mating compared to the RNAi control or naïve group (GLMM with negative binomial data distribution, df = 2, Χ2 = 2.3441, p-value = 0.31).
Dnmt1 knockdown disrupts embryonic development
We also performed a closer analysis of embryos after maternal knockdown of Dnmt1. After twelve days, hardly any larvae had hatched, and we therefore assumed that the eggs had either not been fertilised or that the knockdown was causing an embryonic developmental arrest, which was previously observed in Nasonia vitripennis13. In order to identify the time point of a potential developmental arrest, we sampled eggs every two hours for the first ten hours after oviposition. According to their developmental status, the eggs were then assigned to one of four categories of a timeline of normal embryonic development. At the two first time points, we did not observe any significant developmental differences between the treatment groups (age 0–2 h: OLM 2, 96, χ2 = 0.84, p = n.s.; age 2–4 h: OLM 2, 140, χ2 = 4.65, p = 0.098). But, when the embryos were between four and six hours old, more than 60% of the eggs of the knockdown treatment fell within the earliest category of development and therefore differ significantly from the two controls (OLM107, χ2 = 35.71, p < 0.001). We observed a similar pattern at the embryonic ages of six to eight hours (OLM105, χ2 = 55.11, p < 0.001) and eight to ten hours (OLM144, χ2 = 40.76, p < 0.001). We therefore conclude that the knockdown of Dnmt1 causes an early embryonic arrest after first few cleavage cycles (Fig. 3).
Discussion
Using WGBS, we did not observe any recognizable evidence for CpG DNA methylation in T. castaneum embryos. The few candidate methylation marks detected by whole genome sequencing are most likely due to incomplete bisulfite conversion or sequencing errors. Furthermore, there is hardly any overlap in the candidate mCpGs between the two replicates, which leads us to conclude that CpG DNA methylation is absent in two-day old embryos. Our results agree with those of Zemach et al., who were also unable to detect any significant levels of CpG DNA methylation in T. castaneum19. Yet, two other studies found DNA methylation in all life stages of the beetle. While Song et al.32 observed a strong preference for CpA methylation, which because of its asymmetrical nature is very unlikely to be produced by DNMT1, Feliciello et al.34 found CpG methylation especially on satellite DNA but also spread across the genome of embryos. These differences might be explained by changing methylation patterns during different life stages and possible rapid dynamic changes during embryonic development similar to the epigenetic reprogramming in mammals35. Alternatively, they might also result from incomplete bisulfite deamination, which is often linked to the artefactual detection of methylation outside of the canonical CpG context.
T. castaneum, as several other insect species, lacks Dnmt3 in its genome and therefore does not possess a complete DNA methylation system3,29,43. Nevertheless, some insect species lacking a complete set of Dnmts, show detectable DNA methylation including diverse methylation patterns in correlation with environmental changes15,16,44. It is still unknown whether Dnmt1 can take over the function of the missing Dnmt3 or if other enzymes are responsible for preserving the function. However, the lack of CpG methylation observed in the present study is further supported by the absence of CpG depletion from the beetle’s gene set, which is a known evolutionary signal of CpG methylation33,45. To ultimately resolve this controversy, further studies are needed to determine whether, where and at which time functional levels of CpG DNA methylation might occur in T. castaneum.
Our results also show that Dnmt1 is present and expressed in T. castaneum during all life stages, in both sexes and in the reproductive tissues despite the apparent absence of CpG DNA methylation. The expression of Dnmt1 during the entire life cycle of the beetle hints at a possible function during several life stages. Because ovaries and eggs showed significantly higher relative amounts of Dnmt1 mRNA, the protein might be especially relevant during reproduction and embryonic development.
Both constructs of Dnmt1 used in our RNAi experiment significantly reduced the levels of Dnmt1 mRNA. Although the reduction was only to 70% compared to the levels observed in the treatment control, it still produced a strong phenotype in its effect on offspring embryonic development. RNAi treatment in B. mori leads to a similar degree of reduction of Dnmt1 and also decreased hatchability44. A recently described alternatively spliced isoform of Dnmt1 in T. castaneum lacks the C-terminal DNA methylase domain and is thus unable to methylate DNA, but was shown to be predominantly expressed32. The dsRNA constructs used here should cause a knockdown of both isoforms. The primers used in our gene expression analysis do not distinguish between the two alternative splice variants and we thus cannot determine whether the RNAi treatment might differentially affect the two isoforms.
We could show that Dnmt1 is essential for early embryonic development even in the absence of functional levels of CpG DNA methylation. The knockdown in mothers leads to high lethality in the offspring embryos within the first hours after oviposition during blastoderm stage46. Similarly, the maternal knockdown of one copy of Dnmt1 in N. vitripennis also led to a developmental arrest in the embryos but at a later time point during gastrulation13. Additionally, fecundity in brown planthoppers was strongly decreased after Dnmt1 knockdown47. DNMT1 appears to also have an essential role in metamorphosis of T. castaneum as a reduction during the pupal stage decreased the rate of eclosion. It is therefore reasonable to assume that DNMT1 has additional functions in T. castaneum and maybe also in other insects, including those possessing a DNA methylation machinery.
Alternative, non-catalytic functions of Dnmt1 have been suggested48. The DNA-binding function could be intact in the absence of methylase domain, still enabling the enzyme to fulfil other tasks32. This is supported by the presence of a large N-terminal domain without methylase function but with many molecular binding patterns48. For example, specific motifs of the N-terminal domain have been shown to regulate the transcription of E-cadherin in humans without the association with any changes in methylation patterns49. Further studies in vertebrates indicate that DNMT1 binding to histone modification enzymes is involved in modulation of gene expression50,51. Additional support comes from the clawed frog Xenopus laevis, for which Dnmt1 expression is also essential during embryonic development52. Here, the protein silences genes by directly repressing transcription independent of its catalytic function53. The downregulation of Dnmt1 leads to the premature activation of gene expression before the mid-blastula transition without any larger changes in methylation patterns53. This may indicate that also in insects including T. castaneum the sufficient provision of maternal Dnmt1 transcripts ensures the correct timing of the maternal to zygotic transition of mRNA transcription and thereby prevents embryonic developmental arrest and death. The results of this study emphasise a presumably non-catalytic but essential role of Dnmt1, which needs to be investigated in more detail.
Methods
Model organism
We used beetles from the Georgia 2 (GA-2) line for WGBS, as the genome sequence of T. castaneum was produced from that line29. Expression analysis and knockdown experiments were carried out with individuals from the San Bernadino (SB) line originating in the Sokoloff laboratory (Tribolium Stock Center, California State University, San Bernardino, USA), which is commonly used in research concerning T. castaneum. Beetles were kept on organic wheat flour (type 550) with 5% brewer’s yeast at a population size of more than 200 individuals. They were maintained at 30 °C and 70% humidity at a 12 h-light/12 h-dark cycle.
Whole genome bisulfite sequencing
WGBS was performed on two replicates each consisting of ~1500–2000 eggs. We collected eggs after a 24 hours oviposition period from a population of about 1000 individuals of the GA-2 strain. Samples were incubated at 30 °C with 70% humidity for an additional 24 h, then frozen in liquid nitrogen, and stored at −80 °C. Therefore, all eggs were between 24 h and 48 h old, which meant their embryonic development ranged from germband retraction and dorsal closure up to the first regular muscular movements of the embryos54.
Embryos were dechorionated in diluted sodium hypochlorite bleach, washed and then smashed in SDS buffer using an Eppendorf micropestle. After 30 min incubation at 65 °C and RNAse digestion, remaining RNAs were precipitated with LiCl/KAc. After centrifugation, the supernatant was taken and DNA was precipitated with isopropanol, washed in 70% ethanol and then resuspended in TE. Extracted DNA was checked for its quality using 2200 TapeStation Software (version A.01.04, Agilent). Per sample 5 µg of high molecular weight DNA were used for fragmentation using the Covaris S2 AFA System in a total volume of 100 µl. The fragmentation (parameters: duty cycle: 10%; intensity: 5; cycles/burst: 200; cycles: 3) was run for a total fragmentation time of 180 s. Fragmentation was confirmed with a 2100 Bioanalyzer (Agilent Technologies) using a DNA1000 chip. The fragmented DNAs were concentrated to a final volume of 75 µl using a DNA Speed Vac. End repair of fragmented DNA was carried out in a total volume of 100 µl using the Paired End DNA Sample Prep Kit (Illumina) as recommended by the manufacturer. For the ligation of the adaptors, the Illumina Early Access Methylation Adaptor Oligo Kit and the Paired End DNA Sample Prep Kit (Illumina) were used, as recommended by the manufacturer. For the size selection of the adaptor-ligated fragments, we used the E-Gel Electrophoresis System (Invitrogen) and a Size Select 2% precast agarose gel (Invitrogen). Each fragmented DNA was loaded on two lanes of the E-gel. Electrophoresis was carried out using the “Size Select” program for 16 min. According to the standard loaded (50 bp DNA Ladder, Invitrogen), 240 bp fragments were extracted from the gel, pooled, and directly transferred to bisulfite treatment without further purification. For the bisulfite treatment we used the EZ-DNA Methylation Kit (Zymo) as recommended by the manufacturer with the exception of a modified thermal profile for the bisulfite conversion reaction. The conversion was carried out in a thermal cycler using the following thermal profile: 95 °C for 15 s, 50 °C for 1 h, both steps repeated 15 times, 4 °C for at least 10 min. The libraries were subsequently amplified, using the Fast Start High Fidelity PCR System (Roche) with buffer 2, and PE1.1 and PE2.1 amplification primers (Illumina). PCR thermal profile: 95 °C for 2 min, 95 °C for 30 s, 65 °C for 20 s, 72 °C for 30 s, then repeat from step 2, 11×, 72 °C for 7 min, hold at 4 °C. PCR reactions were purified on PCR purification columns (MinElute, Qiagen) and eluted in 20 µl elution buffer (Qiagen).
Paired-end sequencing was performed on an Illumina HiSeq 2000 system with read lengths of 105 bp and an average insert size of 240 bp. Reads were trimmed and mapped with BSMAP 2.555 using the assembly version 3.0 of the T. castaneum genome (https://www.hgsc.bcm.edu) as a reference sequence. Duplicates were removed using the Picard tool (http://broadinstitute.github.io/picard). Methylation ratios were determined using a Python script (methratio.py) distributed together with the BSMAP package.
For every site containing a CpG, we calculated the fold coverage and the proportion of cytosines at each site that had not been converted by the bisulfite treatment. We also computed which cytosines that were partially unconverted occurred in both replicates and combined this data. Finally, we checked whether there is a correlation between proportion of unconverted cytosines and fold coverage.
Gene Expression Analysis
We measured the expression of Dnmt1 in the following life history stages: eggs (0–1 day post oviposition, dpo; i.e. embryos during blastoderm stage, gastrulation and germband elongation46), larvae (12–18 dpo), pupae (21–23 dpo), adults (30–35 dpo), as well as in the reproductive organs of the beetle, using quantitative real-time PCR (RT qPCR). At the time point of collection, around 1000 eggs were used per sample, while for all other samples material from five individuals was pooled, immediately shock frozen in liquid nitrogen and stored at −80 °C. We analysed four replicates for each life history stage as well as for the gonad and whole-body samples.
The applied RNA extraction protocol combines phenol/chloroform lysis and extraction with the purification via spin columns from the SV Total RNA Isolation System (Promega) and was performed as described in Eggert et al.56. We performed reverse transcription into complementary DNA (cDNA) with the RNA-dependent DNA polymerase SuperScript III and the use of oligo(dT)18 primers (Invitrogen). The reaction started with 100 ng RNA and produced a final volume of 10 µl. The samples were stored at 4 °C for up to one week. For all samples, we measured the expression of Dnmt1 relative to the expression of two housekeeping genes the ribosomal protein L13a (RpL13a) and ribosomal protein 49 (rp49). All primers were designed to cross exon-intron boundaries and their quantification efficiency (E) was calculated using a serial dilution curve (Table S1).
We applied qPCR using the LightCycler® 480 Real-Time PCR System (Roche) and KAPA SYBR® FAST qPCR Light Cycler 480 reaction mix (PEQLAB). Prior to the run of the assay, we diluted the cDNA 1:10. All experiments were carried out with two technical replicates per sample. The temperature and cycling profile for the reaction can be found in Table S2. Furthermore, we produced a melting curve for each amplified fragment to check for cross-contamination by primers and contamination by genomic DNA. Crossing points (Cp) for each technical replicate were calculated and used in further analysis if the standard deviation (STD) between the two technical replicates was below 0.5.
Knockdown via parental RNAi
To accomplish a knockdown of Dnmt1 via parental RNAi, we designed a construct for double stranded RNA (dsRNA) (Table S1). DsRNA complimentary to the Asparagin synthetase A gene (AsnA) from Escherichia coli served as a treatment control57. We produced both dsRNA constructs by cloning the fragments into EcoRV digested pZErO-2 vector (Invitrogen). Cloning was necessary to add T7 and SP6 promoter sequences to the fragment for dsRNA in vitro transcription with the T7 RNA polymerase based T7 MEGAscript Kit (Ambion). For transformation, the vector containing the Dnmt1 fragment was added to chemocompetent DH10B E. coli and kept on ice interrupted by a two minute heat shock at 42 °C. Thereafter, the transformed bacteria were incubated in 500 µl SOC medium (Super Optimal Broth with catabolite repression) for one hour shaking at 1,400 rpm at 37 °C. The transformation mix was centrifuged one minute at maximum speed and the SOC medium decanted. Finally, the transformed bacteria were plated on Luria-Bertani agar (Miller, Carl Roth GmbH & Co. KG) containing 30 µg/ml kanamycin (Carl Roth GmbH & Co. KG) and 1 mM IPTG (isopropyl β-D-1-thiogalactopyranoside, AppliChem GmbH) under sterile conditions. Incubation took place over night at 37 °C. Bacteria including the vector with a fragment formed colonies. Colony PCR was performed to test whether a fragment of the correct size was inserted. Mini preparation was conducted with Invisorb® Spin Plasmid Mini Two (250) (Invitek) from overnight cultures to purify the plasmid. Insertion of the right PCR fragment was validated through Sanger sequencing. For dsRNA synthesis, a DNA template containing T7 promoter sites through PCR with T7 and T7-SP6 primers was produced from the plasmid. The PCR product was purified with Invisorb® Fragment CleanUP (STRATEC Molecular GmbH), eluted with 10 µl elution buffer and quantified with NanoPhotometer (Implen GmbH). Thereafter, dsRNA was synthesized by in vitro transcription. The dsRNA was LiCl precipitated, resuspended in injection buffer and annealed. Concentrations of dsRNA were checked with the NanoPhotometer (Implen GmbH) before injection.
iBeetle-Base provided us with the sequence for the second non-overlapping construct, which we used in order to be able to exclude possible off-target effects58 (http://ibeetle-base.uni-goettingen.de/details/iB_08496, Table S1). For this we obtained the dsRNA from EupheriaBiotech.
For the RNAi procedure, we treated female and male pupae with either Dnmt1 dsRNA, AsnA dsRNA or left them naïve, i.e. untreated. For the injections, we adjusted the concentration of dsRNA to 1,800 ng/µl. Prior to the injections, three-day old pupae were collected and glued with the end of their abdomen to microscopic slides with Fixogum (Marabu). The injections were carried out with a nano injector (FemtoJet, Eppendorf) using borosilicate glass capillaries (100 mm length, 1.0 mm outside diameter, 0.021 mm wall thickness; Hilgenberg). Pupae were injected with the dsRNA solution laterally between the second and third segment of the abdomen. We stopped the injections when the pupae stretched, due to the increasing turgor.
The pupae were left on the glass slides in Petri dishes until they eclosed one to five days later. After eclosion individual survival was recorded and the surviving beetles could mature for four days. At this point, we randomly sampled individuals for either expression analysis or mating and egg production. Due to large sample sizes required in the experiment involving embryo staining, we conducted these injections in three consecutive experimental blocks. We confirmed the success of the knockdown by performing expression analysis on four pools of three to five individuals per treatment and block. Additionally, we measured the Dnmt1 mRNA amount present in the eggs, by performing RT qPCR on one pool of ~1000 eggs per each of the three experimental blocks and treatment groups. Each sample contained eggs ranging in age from 45 min (time between end of oviposition and sampling) to 16 h (eggs produced directly after start of oviposition). Therefore, the samples supposedly contained embryos from blastoderm stage, with synchronous mitosis, from gastrulation and beginning germband elongation46,54.
Fitness costs of the knockdown
To estimate potential fitness costs of the Dnmt1 knockdown treatment we collected one hundred eggs from each of the treatment groups and controls, individualised them and counted live larvae twelve days later. For the second non-overlapping dsRNA construct (construct b) fitness costs were examined in a different way. The construct from the previous experiment (construct a) was also used here. We set up single mating pairs (n = 23–30) and let them mate for 24 hours. Then live larvae were counted twelve days later for each pair. Besides the two dsRNA constructs, a RNAi control and a naïve group were included.
To measure the fertility of the males after RNAi treatment, individual mating pairs with untreated, virgin females of the same age were formed four days post eclosion. The pairs were put on to new flour after 24 hours and then again, every three days for the next nine days. Two weeks after the oviposition living larvae were counted for each pair (n = 20–26).
Embryonic development after maternal knockdown
To determine a possible effect of the maternal knockdown on their offspring, we observed the embryonic development via DNA staining. For this we collected eggs every two hours over a period of ten hours, which enabled us to look at five individual time points after oviposition. For the fixation, we washed the eggs with water and treated them with 25% DanKlorix (Colgate –Palmolive), which contains 5% sodium hypochlorite to remove the chorion. The eggs were submerged in heptane and fixed with 4% formaldehyde in phosphate buffered saline (PBS). Vigorous shaking in methanol led to the removal of the vitelline membrane. Finally, the methanol was replaced with 95% ethanol and the fixed embryos were stored at −20 °C.
We determined the developmental stage of the previously fixed embryos through staining with 4′,6-diamidino-2-phenylindole (DAPI) (Carl Roth). After incubating the embryos in PBS with 0.5 µg/ml DAPI for five minutes, they were washed with PBS twice and mounted to a microscopy glass slide using Fluoroshield histology mounting medium (Sigma-Aldrich). A fluorescence inversion microscope (Observer Z1, Zeiss) with an attached fluorescence camera (AxioCamMR3, Zeiss) was used for taking pictures at 200x magnification. We ascertained embryonic development by assigning each picture to one of four categories. These categories were formed from a time line of naïve development over the first ten hours after oviposition (cat.I = ca. 1 h, cat.II = ca. 3 h, cat.III = ca. 5 h, cat.IV = ca. 8 h), which was established prior to this experiment and which allowed us to follow embryogenesis from early blastoderm to the start of gastrulation46.
Statistical analysis
If not stated otherwise, all statistical analyses were performed in R (version 3.4.0)59 under RStudio version 0.99.46760 using packages lme461 and MASS62 when performing generalised linear mixed effects models (GLMMs). The correlation between fold coverage and proportion of unconverted cytosines was tested using a Spearman rank test.
All expression data of Dnmt1 were analysed and tested for significant differences using the relative expression software tool REST2009 (Qiagen; Pfaffl, Horgan, & Dempfle63) as previously described56. Bonferroni correction for multiple testing was applied to the results if the control group was compared to more than one treatment group.
For examining the eclosion and therefore survival after injection of the females in the knockdown experiments a GLMM with binomial error distribution was applied to the data. We investigated the effect of the knockdown on maternal fitness by testing hatching rates of larvae for differences in a GLMM with binomial error distribution followed by a Tukey’s HSD test. Fecundity of individual pairs after maternal knockdown using both Dnmt1 RNAi constructs was tested with a Kruskal-Wallis test, then pairwise comparisons were performed with a Wilcoxon test and p values were adjusted according to Benjamini & Hochberg64. Male fertility after knockdown was analysed with a generalised linear model (GLM) with negative binomial error distribution.
The embryonic development after maternal knockdown was tested with an ordinal logistic model (OLM) and a post-hoc maximum likelihood test to determine, whether the distribution of embryos to the four developmental categories was significantly different between the maternal treatments. This was done for each observed time point separately. Analyses were performed with JMP version 8 (SAS Institute Inc).
Electronic supplementary material
Acknowledgements
We thank Barbara Hasert for general help with lab work and Cassandra Falckenhayn for DNA extractions. This work was supported in part by the Volkswagen Stiftung, project number I/84 794. We acknowledge support from the Open Access Publication Fund of the University of Münster.
Author Contributions
Conceived and designed study: N.S., I.W., M.D.d.B., F.L., J.K. Carried out lab work: N.S., I.W., J.E. Carried out sequencing: G.R. Analysed data: N.S., G.R. Wrote manuscript: N.S. with comments from all other authors.
Data Availability
The sequencing data from this study have been submitted to the NCBI Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo/) under accession number GSE120735. All other raw data are available from the authors upon reasonable request.
Competing Interests
The authors declare no competing interests.
Footnotes
Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-018-34701-3.
References
- 1.Beldade P, Mateus ARA, Keller RA. Evolution and molecular mechanisms of adaptive developmental plasticity. Mol. Ecol. 2011;20:1347–1363. doi: 10.1111/j.1365-294X.2011.05016.x. [DOI] [PubMed] [Google Scholar]
- 2.Roberts SB, Gavery MR. Is there a relationship between DNA methylation and phenotypic plasticity in Invertebrates? Front. Physiol. 2012;2:116. doi: 10.3389/fphys.2011.00116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Glastad KM, Hunt BG, Yi SV, Goodisman MAD. DNA methylation in insects: on the brink of the epigenomic era. Insect Mol. Biol. 2011;20:553–65. doi: 10.1111/j.1365-2583.2011.01092.x. [DOI] [PubMed] [Google Scholar]
- 4.Elango N, Hunt BG, Goodisman MAD, Yi SV. DNA methylation is widespread and associated with differential gene expression in castes of the honeybee. Apis mellifera. Proc. Natl. Acad. Sci. USA. 2009;106:11206–11. doi: 10.1073/pnas.0900301106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Lyko F, et al. The honey bee epigenomes: differential methylation of brain DNA in queens and workers. PLoS Biol. 2010;8:e1000506. doi: 10.1371/journal.pbio.1000506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bonasio R, et al. Genome-wide and Caste-Specific DNA Methylomes of the Ants Camponotus floridanus and Harpegnathos saltator. Curr. Biol. 2012;22:1755–1764. doi: 10.1016/j.cub.2012.07.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Kucharski R, Maleszka J, Foret S, Maleszka R. Nutritional control of reproductive status in honeybees via DNA methylation. Science (80-.). 2008;319:1827–1830. doi: 10.1126/science.1153069. [DOI] [PubMed] [Google Scholar]
- 8.Lockett GA, Kucharski R, Maleszka R. DNA methylation changes elicited by social stimuli in the brains of worker honey bees. Genes. Brain. Behav. 2012;11:235–42. doi: 10.1111/j.1601-183X.2011.00751.x. [DOI] [PubMed] [Google Scholar]
- 9.Herb BR, et al. Reversible switching between epigenetic states in honeybee behavioral subcastes. Nat. Neurosci. 2012;15:1371–3. doi: 10.1038/nn.3218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Wang, X. et al. The locust genome provides insight into swarm formation and long-distance flight. Nat. Commun. 5 (2014). [DOI] [PMC free article] [PubMed]
- 11.Mallon EB, Amarasinghe HE, Ott SR. Acute and chronic gregarisation are associated with distinct DNA methylation fingerprints in desert locusts. Sci. Rep. 2016;6:35608. doi: 10.1038/srep35608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bongiorni S, Cintio O, Prantera G. The relationship between DNA methylation and chromosome imprinting in the Coccid Planococcus citri. Genetics. 1999;151:1471–1478. doi: 10.1093/genetics/151.4.1471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zwier MV, Verhulst EC, Zwahlen RD, Beukeboom LW. & Van De Zande, L. DNA methylation plays a crucial role during early Nasonia development. Insect Mol. Biol. 2012;21:129–38. doi: 10.1111/j.1365-2583.2011.01121.x. [DOI] [PubMed] [Google Scholar]
- 14.Li-Byarlay H, et al. RNA interference knockdown of DNA methyl-transferase 3 affects gene alternative splicing in the honey bee. Proc. Natl. Acad. Sci. USA. 2013;110:12750–5. doi: 10.1073/pnas.1310735110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Bewick AJ, Vogel KJ, Moore AJ, Schmitz RJ. Evolution of DNA Methylation across Insects. Mol. Biol. Evol. 2017;34:654–665. doi: 10.1093/molbev/msw264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Provataris P, et al. Signatures of DNA methylation across insects suggest reduced DNA methylation levels in Holometabola. Genome Biol. Evol. 2018;10:1185–1197. doi: 10.1093/gbe/evy066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Mandrioli M, Volpi N. The genome of the lepidopteran Mamestra brassicae has a vertebrate-like content of methyl-cytosine. Genetica. 2003;119:187–191. doi: 10.1023/A:1026016021415. [DOI] [PubMed] [Google Scholar]
- 18.Krauss V, Eisenhardt C, Unger T. The genome of the stick insect Medauroidea extradentata is strongly methylated within genes and repetitive DNA. PLoS One. 2009;4:e7223. doi: 10.1371/journal.pone.0007223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Zemach A, Mcdaniel IE, Silva P, Zilberman D. Genome-wide evolutionary analysis of eukaryotic DNA methylation. Science. 2010;328:916–9. doi: 10.1126/science.1186366. [DOI] [PubMed] [Google Scholar]
- 20.Falckenhayn C, et al. Characterization of genome methylation patterns in the desert locust Schistocerca gregaria. J. Exp. Biol. 2013;216:1423–9. doi: 10.1242/jeb.080754. [DOI] [PubMed] [Google Scholar]
- 21.Wang Xu, Wheeler David, Avery Amanda, Rago Alfredo, Choi Jeong-Hyeon, Colbourne John K., Clark Andrew G., Werren John H. Function and Evolution of DNA Methylation in Nasonia vitripennis. PLoS Genetics. 2013;9(10):e1003872. doi: 10.1371/journal.pgen.1003872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Werren JH, et al. Functional and Evolutionary Insights from the Genomes of Three Parasitoid Nasonia Species. Science (80-.). 2010;327:343–348. doi: 10.1126/science.1178028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lyko F. The DNA methyltransferase family: a versatile toolkit for epigenetic regulation. Nat. Rev. Genet. 2018;19:81–92. doi: 10.1038/nrg.2017.80. [DOI] [PubMed] [Google Scholar]
- 24.Goll MG, et al. Methylation of tRNA Asp by the DNA Methyltransferase Homolog Dnmt2. Science. 2006;311:395–398. doi: 10.1126/science.1120976. [DOI] [PubMed] [Google Scholar]
- 25.Schaefer M, et al. RNA methylation by Dnmt2 protects transfer RNAs against stress-induced cleavage. Genes Dev. 2010;24:1590–1595. doi: 10.1101/gad.586710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Schaefer Matthias, Lyko Frank. Lack of evidence for DNA methylation of Invader4 retroelements in Drosophila and implications for Dnmt2-mediated epigenetic regulation. Nature Genetics. 2010;42(11):920–921. doi: 10.1038/ng1110-920. [DOI] [PubMed] [Google Scholar]
- 27.Raddatz G, et al. Dnmt2-dependent methylomes lack defined DNA methylation patterns. Proc. Natl. Acad. Sci. USA. 2013;110:8627–31. doi: 10.1073/pnas.1306723110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Lyko F, Maleszka R. Insects as innovative models for functional studies of DNA methylation. Trends Genet. 2011;27:127–31. doi: 10.1016/j.tig.2011.01.003. [DOI] [PubMed] [Google Scholar]
- 29.Richards S, et al. The genome of the model beetle and pest Tribolium castaneum. Nature. 2008;452:949–55. doi: 10.1038/nature06784. [DOI] [PubMed] [Google Scholar]
- 30.Xiang H, et al. Single base-resolution methylome of the silkworm reveals a sparse epigenomic map. Nat. Biotechnol. 2010;28:516–20. doi: 10.1038/nbt.1626. [DOI] [PubMed] [Google Scholar]
- 31.Standage DS, et al. Genome, transcriptome and methylome sequencing of a primitively eusocial wasp reveal a greatly reduced DNA methylation system in a social insect. Mol. Ecol. 2016;25:1769–1784. doi: 10.1111/mec.13578. [DOI] [PubMed] [Google Scholar]
- 32.Song Xiaowen, Huang Fei, Liu Juanjuan, Li Chengjun, Gao Shanshan, Wu Wei, Zhai Mengfan, Yu Xiaojuan, Xiong Wenfeng, Xie Jia, Li Bin. Genome-wide DNA methylomes from discrete developmental stages reveal the predominance of non-CpG methylation in Tribolium castaneum. DNA Research. 2017;24(5):445–457. doi: 10.1093/dnares/dsx016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Bird AAP. DNA methylation and the frequency of CpG in animal DNA. Nucleic Acids Res. 1980;8:999–1008. doi: 10.1093/nar/8.5.999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Feliciello I, Parazajder J, Akrap I, Ugarković Đ. First evidence of DNA methylation in insect Tribolium castaneum: Environmental regulation of DNA methylation within heterochromatin. Epigenetics. 2013;8:534–541. doi: 10.4161/epi.24507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Messerschmidt DM, Knowles BB, Solter D. DNA methylation dynamics during epigenetic reprogramming in the germline and preimplantation embryos. Genes Dev. 2014;28:812–828. doi: 10.1101/gad.234294.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Monk D. Germline-derived DNA methylation and early embryo epigenetic reprogramming: The selected survival of imprints. Int. J. Biochem. Cell Biol. 2015;67:128–138. doi: 10.1016/j.biocel.2015.04.014. [DOI] [PubMed] [Google Scholar]
- 37.Roth O, Sadd BM, Schmid-Hempel P, Kurtz J. Strain-specific priming of resistance in the red flour beetle, Tribolium castaneum. Proc. R. Soc. B Biol. Sci. 2009;276:145–151. doi: 10.1098/rspb.2008.1157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Roth O, et al. Paternally derived immune priming for offspring in the red flour beetle. Tribolium castaneum. J. Anim. Ecol. 2010;79:403–413. doi: 10.1111/j.1365-2656.2009.01617.x. [DOI] [PubMed] [Google Scholar]
- 39.Tate AT, Andolfatto P, Demuth JP, Graham AL. The within-host dynamics of infection in trans-generationally primed flour beetles. Mol. Ecol. 2017;26:3794–3807. doi: 10.1111/mec.14088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Kurtz J, Armitage SAO. Dissecting the dynamics of trans-generational immune priming. Mol. Ecol. 2017;26:3857–3859. doi: 10.1111/mec.14190. [DOI] [PubMed] [Google Scholar]
- 41.Vilcinskas A. The role of epigenetics in host–parasite coevolution: lessons from the model host insects Galleria mellonella and Tribolium castaneum. Zoology. 2016;119:273–280. doi: 10.1016/j.zool.2016.05.004. [DOI] [PubMed] [Google Scholar]
- 42.Mukherjee K, et al. Experimental evolution of resistance against Bacillus thuringiensis in the insect model host Galleria mellonella results in epigenetic modifications. Virulence. 2017;8:1618–1630. doi: 10.1080/21505594.2017.1325975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Jurkowska RZ, Jurkowski TP, Jeltsch A. Structure and Function of Mammalian DNA Methyltransferases. Chem Bio Chem. 2011;12:206–222. doi: 10.1002/cbic.201000195. [DOI] [PubMed] [Google Scholar]
- 44.Xiang H, et al. Comparative methylomics between domesticated and wild silkworms implies possible epigenetic influences on silkworm domestication. BMC Genomics. 2013;14:646. doi: 10.1186/1471-2164-14-646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Elango Navin, Kim Seong-Ho, Vigoda Eric, Yi Soojin V. Mutations of Different Molecular Origins Exhibit Contrasting Patterns of Regional Substitution Rate Variation. PLoS Computational Biology. 2008;4(2):e1000015. doi: 10.1371/journal.pcbi.1000015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Handel K, Grünfelder CG, Roth S, Sander K. Tribolium embryogenesis: A SEM study of cell shapes and movements from blastoderm to serosal closure. Dev. Genes Evol. 2000;210:167–179. doi: 10.1007/s004270050301. [DOI] [PubMed] [Google Scholar]
- 47.Zhang J, et al. DNA methyltransferases have an essential role in female fecundity in brown planthopper. Nilaparvata lugens. Biochem. Biophys. Res. Commun. 2015;464:83–88. doi: 10.1016/j.bbrc.2015.05.114. [DOI] [PubMed] [Google Scholar]
- 48.Espada J. Non-catalytic functions of DNMT1. Epigenetics. 2012;7:115–118. doi: 10.4161/epi.7.2.18756. [DOI] [PubMed] [Google Scholar]
- 49.Espada J, et al. Regulation of SNAIL1 and E-cadherin function by DNMT1 in a DNA methylation-independent context. Nucleic Acids Res. 2011;39:9194–9205. doi: 10.1093/nar/gkr658. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Qin W, Leonhardt H, Pichler G. Regulation of DNA methyltransferase 1 by interactions and modifications. Nucleus. 2011;2:392–402. doi: 10.4161/nucl.2.5.17928. [DOI] [PubMed] [Google Scholar]
- 51.Clements EG, et al. DNMT1 modulates gene expression without its catalytic activity partially through its interactions with histone-modifying enzymes. Nucleic Acids Res. 2012;40:4334–4346. doi: 10.1093/nar/gks031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Stancheva I, Meehan RR. Transient depletion of xDnmt1 leads to premature gene activation in Xenopus embryos. Genes Dev. 2000;14:313–27. [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 53.Dunican DS, Ruzov A, Hackett JA, Meehan RR. xDnmt1 regulates transcriptional silencing in pre-MBT Xenopus embryos independently of its catalytic function. Development. 2008;135:1295–1302. doi: 10.1242/dev.016402. [DOI] [PubMed] [Google Scholar]
- 54.Strobl F, Stelzer EHK. Non-invasive long-term fluorescence live imaging of Tribolium castaneum embryos. Development. 2014;141:2331–2338. doi: 10.1242/dev.108795. [DOI] [PubMed] [Google Scholar]
- 55.Xi Y, Li W. BSMAP: whole genome bisulfite sequence MAPping program. BMC Bioinformatics. 2009;10:232. doi: 10.1186/1471-2105-10-232. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Eggert H., Kurtz J., Diddens-de Buhr M. F. Different effects of paternal trans-generational immune priming on survival and immunity in step and genetic offspring. Proceedings of the Royal Society B: Biological Sciences. 2014;281(1797):20142089–20142089. doi: 10.1098/rspb.2014.2089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Peuß R, et al. Down syndrome cell adhesion molecule 1: testing for a role in insect immunity, behaviour and reproduction. R. Soc. Open Sci. 2016;3:160138. doi: 10.1098/rsos.160138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Schmitt-Engel C, et al. The iBeetle large-scale RNAi screen reveals gene functions for insect development and physiology. Nat. Commun. 2015;6:7822. doi: 10.1038/ncomms8822. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.R Development Core Team. R: A language and environment for statistical computing (2008).
- 60.RStudio Team. R-Studio: integrated development for R (2015).
- 61.Bates D, Mächler M, Bolker B, Walker S. Fitting Linear Mixed-Effects Models Using lme4. J. Stat. Softw. 2015;67:1–48. doi: 10.18637/jss.v067.i01. [DOI] [Google Scholar]
- 62.Venables, W. N. & Ripley, B. D. Modern Applied Statistics with S Ch. 11, 301–330 (Springer New York, 2002).
- 63.Pfaffl MW, Horgan GW, Dempfle L. Relative expression software tool (REST) for group-wise comparison and statistical analysis of relative expression results in real-time PCR. Nucleic Acids Res. 2002;30:e36. doi: 10.1093/nar/30.9.e36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. Series B (Methodological) 1995;57:289–300. [Google Scholar]
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Supplementary Materials
Data Availability Statement
The sequencing data from this study have been submitted to the NCBI Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo/) under accession number GSE120735. All other raw data are available from the authors upon reasonable request.