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. 2015 Jul 14;3:e1079. doi: 10.7717/peerj.1079

Allele specific expression in worker reproduction genes in the bumblebee Bombus terrestris

Harindra E Amarasinghe 1,#, Bradley J Toghill 2,#, Despina Nathanael 1, Eamonn B Mallon 1,
Editor: Leon Higley
PMCID: PMC4512776  PMID: 26213649

Abstract

Methylation has previously been associated with allele specific expression in ants. Recently, we found methylation is important in worker reproduction in the bumblebee Bombus terrestris. Here we searched for allele specific expression in twelve genes associated with worker reproduction in bees. We found allele specific expression in Ecdysone 20 monooxygenase and IMP-L2-like. Although we were unable to confirm a genetic or epigenetic cause for this allele specific expression, the expression patterns of the two genes match those predicted for imprinted genes.

Keywords: Social insect, Hymenoptera, Ecdysone, Epigenetics

Introduction

Epigenetics refers to heritable changes in gene expression that do not involve DNA sequence alterations. Several recent reviews have heralded hymenopteran insects (ants, bees and wasps) as important emerging models for epigenetics (Glastad et al., 2011; Weiner & Toth, 2012; Welch & Lister, 2014; Yan et al., 2014). This is based mainly on data showing a fundamental role for methylation in their biology (Chittka, Wurm & Chittka, 2012). Methylation, the addition of a methyl group to a cytosine, is an epigenetic marker in many species (Glastad et al., 2011).

The recently sequenced genome of the bumblebee, Bombus terrestris displays a full complement of genes involved in the methylation system (Sadd et al., 2015). In a recent paper (Amarasinghe, Clayton & Mallon, 2014), we showed that methylation is important in worker reproduction in this bumblebee. We found methylation differences between the genomes of queenless reproductive workers and queenless non-reproductive workers. In a follow up experiment, queenless workers whose genomes had experimentally altered methylation (fed 5-aza-2′-deoxycytidine) were more aggressive and more likely to develop ovaries compared with control queenless workers.

Previous work has found methylation associated with allele specific expression in a number of loci in the ants Camponotus floridanus and Harpegnathos saltator (Bonasio et al., 2012). Based on our result showing the importance of methylation in bumblebee worker reproduction, we searched for allele specific expression in worker reproduction genes. We chose twelve genes previously associated with worker reproduction in bees (see Table 1). We looked for polymorphisms in their exonic DNA in queens and their daughter workers using single strand conformation polymorphism (SSCP) and Sanger sequencing.

Table 1. Candidate genes selected from the literature search.

Apis mellifera Bombus terrestris Biological function
Chymotrypsin Chymotrypsin-1-like (LOC100648122) Upregulated in bumblebee non-reproductive workers (Pereboom et al., 2005)
Gemini Upstream binding protein 1-like (LOC100650338) Upregulated in honeybee reproductive workers (Jarosch et al., 2011)
Cabut Zinc finger protein 691-like (LOC100642767) Upregulated in honeybee non- reproductive workers (Cardoen et al., 2011)
Ecdysone 20 monooxygenase Ecdysone 20 monooxygenase-like (LOC100649449) Upregulated in honeybee reproductive workers (Cardoen et al., 2011)
Yolkless Vitellogenin receptor-like (LOC100649042) Upregulated in honeybee reproductive workers (Cardoen et al., 2011)
Epidermal growth factor receptor Epidermal growth factor receptor like (LOC100645521) Upregulation of EGFR initiates ovary activation in queenless honeybee workers (Formesyn et al., 2014)
Ribosomal Protein L26 Ribosomal Protein L26 like (LOC100648461) Differentially expressed in honeybee reproductive and non-reproductive workers (Thompson et al., 2007)
Odorant receptor2 Or2 odorant receptor 2/Queen mandibular pheromone (QMP) co-receptor (LOC100631089) Upregulated in honeybee sterile workers (Grozinger et al., 2007)
Dop3 D2-like dopamine receptor D2 like dopamine receptor (LOC100644210) Upregulated in honeybee non-reproductive workers (Vergoz, Lim & Oldroyd, 2012)
Megator Megator TPR like nucleoprotein (LOC100645723) Upregulated in honeybee reproductive workers (Cardoen et al., 2011)
Ecdysteroid regulated gene E93/Mblk-1 transcription factor Mushroom body large-type Kenyon cell specific protein 1-like (LOC100645656) Upregulated in honeybee reproductive workers (Cardoen et al., 2011)
Ecdysone inducible gene L2/ImpL2 Neural/ectodermal development factor IMP-L2-like (LOC100645498) Upregulated in honeybee non-reproductive workers (Cardoen et al., 2011)

Notes.

NCBI gene IDs are in parentheses.

SSCP relies on the principle that the electrophoretic mobility of a single-stranded DNA molecule is dependent on its structure (nucleotide sequence) and size. In the absence of the complementary strand, DNA becomes unstable and reanneals to itself to form conformations; hairpins, pseudoknots and triple helices (Nielsen, Novoradovsky & Goldman, 1995). These conformations vary according to the primary sequence of the molecule, such that a single nucleotide difference in DNA could dramatically affect the strand’s mobility through a gel due to its unique 3D structure.

If we found that the workers possessed an allele from the queen and another allele not present in the queen, this allele must be from the father. That is, we identified a matrigene (allele from the mother) and patrigene (allele from the father) at this locus. If we found this, we carried out an allele specific qPCR to ascertain if this locus displayed allele specific expression.

Methods

Identification of candidate genes and designing primers

Twelve social insect genes previously associated with differential expression in queens, reproducing workers and non-reproducing workers were selected via a literature search (Table 1). Sequences for all selected candidate genes were obtained from Apis mellifera genome data, available in NCBI. Apis mellifera data was BLASTed against the Bombus terrestris Nucleotide library (NCBI) in order to find the homolog in Bombus terrestris. Primers were designed to the exonic regions using Geneious Pro (version 5.5.6) and primer 3 version 0.4.0 (http://frodo.wi.mit.edu). The focus was on exonic regions to ensure that the same loci was present in the cDNA for the allele specific qPCR analysis.

Samples

The queen and 5 randomly selected workers from each colony were used for SSCP analysis. Most candidate genes were tested in four different bumblebee colonies. Chymotrypsin, Gemini, Cabut and Yolkless were tested in colonies 1–4. Another four colonies (5–8) were used to test Epidermal growth factor receptor, Ribosomal protein L26, Odorant receptor 2, Dop3, Megator, Ecdysteroid regulated gene E93 (Mblk1) and Ecdysone inducible gene L2 (IMP-L2). Ecdysone 20 monooxygenase-like was tested in eight colonies. All qPCR data are based on bees from colony 5.

DNA and RNA extraction and cDNA synthesis

Bees were frozen in liquid nitrogen and then stored at −80 °C. Genomic DNA for SSCP analysis was extracted from each queen and respective worker bees using the Qiagen DNA Micro kit according to manufacturer’s instructions. Concentration of total genomic DNA was measured using the NanoDrop 1000 Spectrophotometer.

A 30 mg sample of frozen tissue was ground with mortar and pestle on dry ice. RNA was extracted with the QIAGEN RNeasy Mini Kit according to manufacturer’s instructions.

Any DNA contamination present in the above RNA extractions was removed according to Amplification Grade DNase I Kit protocol (Sigma-Aldrich), prior to the synthesis of cDNA. Concentrations of DNase treated RNA was determined by the NanoDrop 1000 spectrophotometer.

cDNA was synthesized from a 8 μl sample of RNA using the Tetro cDNA synthesis Kit (Bioline) as per manufacturer’s instructions. Synthesized cDNA was stored at −80 °C.

PCR amplifications

For each primer set, a 25 µl reaction volume (60 ng of DNA, 12.5 µl YB-Taq 2x Buffer, 1.5 µl of each forward and reverse primer (10 µlM/µl), 1 µl of 10 mM MgCl2 and 6.5 µl of dH20) was run using the following conditions: an initial denaturation for 5 min at 94 °C, 30 cycles of 30 s at 94 °C, 30 s each at the relevant annealing temperature followed by a final extension of 10 min at the relevant extension temperature and a holding step of 4 °C. The sequences and annealing and extension temperatures used for each primer set are in Table S1.

Prior to SSCP analysis, each PCR product (10 µl) was checked on a 3% agarose gel. If the correct size of amplicon was obtained, then the rest of the sample (15 µl) was used for SSCP.

SSCP analysis

SSCP analysis was carried out according to Gasser et al. (2007) using GMA wide mini S-2x25 gels (Elchrom Scientific). Sample denaturing solution was prepared by mixing 990 µl of 95% formamide with 10 µl of 1 M NaOH just prior to use. 4 µl of the PCR product was denatured with 7 µl of denaturing mixture, incubated in a thermocycler at 94 °C for 10 min and immediately chilled on ice for 5 min.

The temperature of the running buffer (1x TAE) in the Origins gel tank (Elchrom Scientific) was kept constant at 9 °C. 7 µl of the denatured PCR product was mixed with 2 µl of Elchrom loading dye and loaded in to a well on the gel. The gels were run at 72 V. The electrophoretic running times were varied depending on the fragment size; 10 h for 150–200bp fragment length, 12 h for 200–250bp fragment length, 15 h for 250–350bp fragment length and 17 h for 350–450bp fragment length.

Following electrophoresis, the gels were stained for 30 min with SybrGold (Invitrogen) (1:10,000 diluted in TAE) and destained with 100 ml of 1x TAE buffer for a further 30 min.

If a polymorphic banding pattern among the queen and her 5 workers was observed during SSCP, another SSCP was run to confirm the reproducibility of those results. The genomic DNA of those queen and worker bees were amplified with their respective primers (see Table S1) and PCR products were sent for commercial clean up and Sanger sequencing.

All sequencing results were blasted against NCBI, Bombus terrestris nucleotide library to verify if the correct sequence was amplified. Sequencing results were analyzed using the heterozygote analysis module in Geneious version 7.3.0 to identify heterozygotic nucleotide positions.

Allele specific PCR

Allele specific PCR was used to confirm the maternal and paternal alleles identified during heterozygote analysis. Allele specific primers were designed using Batch primer 3 program (http://probes.pw.usda.gov/batchprimer3/) to cover the heterozygotic nucleotide positions identified above. Two forward primers specific to either maternal (F1) or paternal (F2) allele sequences and a common reverse primer were designed. Genomic DNA of the queen and 5 heterozygous workers in each colony, were PCR amplified with these allele specific primers (Table 2). PCR products were checked on a 3% agarose gel. When using allele specific primers, only the allele which includes the relevant snp would be amplified. Primers which amplified the snp region successfully were used for qPCR analysis.

Table 2. Allele specific primers used for gene expression analysis.

Gene Heterozygote position Primer sequence (5′-3′) TA (°C) Product size (bp)
Ecdysone 20 monooxygenase like 48 (A/G) F1: GCGGAAGCCGTCAGG 58 34
F2: TTAGCGGAAGCCGTCAGA
R: GCGAGGCCGTAAAGTGTAT
Ecdysone 20 monooxygenase like internal reference F: GATTTAGCGGAAGCCGTCAG 59 36
R: GCGAGGCCGTAAAGTGTAT
IMP-L2-like 253 (A/G) F1: ACTTGCCAAGCCAAGTCTG 59.5 205
F2: CACTTGCCAAGCCAAGTCTA
R: TTCGAGCCACTTCCTTTTCG
IMP-L2-like internal reference F: CTACACTTGCCAAGCCAAGTCT 59.5 207
R: TTCGAGCCACTTCCTTTTCG

Notes.

The snp present is located at the ′ end of each forward primer (marked in red).

F1
Forward primer 1
F2
Forward primer 2
R
Common reverse primer
TA
Annealing temperature

Allele specific quantitative PCR

Reference primers were designed according to Gineikiene, Stoskus & Griskevicius (2009). A common forward primer was designed to the same target heterozygote sequence, upstream of the heterozygote nucleotide position, leaving the same common reverse primer previously used with allele specific primers (see reference sequences in Table 2). The reference primers measure the total expression of the gene, whereas the allele specific primers measure the amount of expression due to the allele. Thus the ratio between the allele specific expression and reference locus expression would be the relative expression due to the allele.

Each heterozygous locus was run for 3 different reactions; maternal (F1), paternal (F2) and reference (Table 2). Three replicate samples were run for each reaction. All reactions were prepared by the Corbett robotics machine, in 96 well qPCR plates (Thermo Scientific, UK). The qPCR reaction mix (20 µl) was composed of 1 µl of diluted cDNA (50 ng/µl), 1 µl of forward and reverse primer (5 µM/µl each, Table 2), 10 µl 2x SYBR Green JumpStart Taq ReadyMix (Sigma Aldrich, UK) and 7 µl ddH20. Samples were run in a PTC-200 MJ thermocycler. The qPCR profile was; 4 min at 95 °C denaturation followed by 40 cycles of 30 s at 95 °C, 30 s at the relevant annealing temperature (Table 2) and 30 s at 72 °C and a final extension of 5 min at 72 °C.

Forward primers are different, both in their terminal base (to match the snp) and in their length. It is entirely possible that they may amplify more or less efficiently even if there was no difference in amount of template (Pfaffl, 2001). To test for this we repeated all qPCRs with genomic DNA 1 µl of diluted DNA (20 ng/ µl) from the same bees as the template. We would expect equal amounts of each allele in the genomic DNA. We also measured efficiency of each reaction as per Liu & Saint (2002).

Data analysis

Median Ct was calculated for each set of three technical replicates. A measure of relative expression (ratio) was calculated for each parental allele in each worker bee as follows:

ratiomaternal=EmaternalCtmaternalEreferenceCtreference (1)
ratiopaternal=EpaternalCtpaternalEreferenceCtreference. (2)

E is the median efficiency of each primer set (Liu & Saint, 2002; Pfaffl, 2001). Matched paired t-tests was performed to check if the allele specific expression values are significantly different among the two parental alleles. All statistical analysis was carried out using R (3.1.0) (R Core Team , 2015).

Results

SSCP analysis

Exon coverage for each gene is given in Table 3. We found no polymorphisms in nine genes out of the twelve candidate genes tested (see Table 3). Figure 1 shows representative examples of these gels with the queen and her workers sharing the same banding pattern.

Table 3. SSCP exon coverage.

Percentage exon coverage for each gene was calculated as the sum of all tested amplicon lengths as a fraction of the total length of mRNA per gene.

Gene name Coverage (%) Polymorphism
Chymotrypsin-1-like 92 Absent
Upstream-binding protein 1-like 93 Absent
Zinc finger protein 691-like 70 Absent
Vitellogenin receptor-like 30 Absent
Epidermal growth factor receptor like 21 Absent
60S Ribosomal Protein L26 like 32 Absent
Or2 odorant receptor 2 25 Absent
D2 like dopamine receptor 54 Absent
Megator TPR like nucleoprotein 17 Absent
Ecdysone 20-monooxygenase-like 37 Present
Mushroom body large-type Kenyon cell-specific protein 1-like 35 Present
Neural/ectodermal development factor IMP-L2-like 47 Present

Figure 1. The queen (Q) and 5 workers (W1–W5) are represented in each colony.

Figure 1

SSCP gel results of six genes (A–F) with no queen-worker variations (homozygous banding patterns).

Compared with the queen, workers in colony 3, 5 and 7 showed a heterozygous banding pattern in 3 genes; ecdysone 20-monooxygenase-like (ecdysone 20-monooxygenase-like), IMPL-2-like and MBLK1-like (Fig. 2).

Figure 2. SSCP allelic polymorphism in IMP-L2-like, MBLK1-like and Ecdysone 20-monooxygenase-like.

Figure 2

Sequences of polymorphic loci

We sequenced the three loci showing heterozygous banding patterns in SSCP gels. In ecdysone 20-monooxygenase-like, the queen sequence is homozygous (Fig. 2). At the snp (2,474th base pair of LOC100649449) the queen has a guanine (G), while all of her workers show double peaks corresponding to both guanine (G) and adenine (A) bases (see Table S2 for sequences). From this we identified the matrigene as containing guanine and the patrigene as containing adenine. A similar SSCP banding pattern was found for IMP-L2-like (Fig. 2). Again the queen had a guanine whereas workers contained a guanine and an adenine, this time at the 5,130th base pair of LOC100645498 (Table S2). MBLK1-like has several snps in the amplified region (Fig. 2 and Table S2).

Allele specific PCR

Allele specific primers designed for ecdysone 20-monooxygenase-like and IMP-L2-like worked successfully with genomic DNA and cDNA to produce the expected fragment lengths. They were used for gene expression analysis in the next section. Amplification of MBLK1-like using allele specific primer sets was unsuccessful possibly due to the large number of snps. Thus, we did not continue with qPCR analysis for MBLK1-like.

Allele specific qPCR

The allele specific primer sets for ecdysone 20-monooxygenase-like showed no difference in their ability to amplify genomic DNA (paired t-test: t = 0.4815, df = 4, p-value = 0.6553, Maternal primers Ct = 36.73 ± 2.494, Paternal primers Ct = 36.27 ± 1.792 (mean ± standard deviation)). For IMP-L2-like, the two primer sets did show a significant difference in efficiency to amplify genomic DNA (paired t-test: t = 7.062, df = 4, p-value = 0.002121, Maternal primers Ct = 35.83 ± 1.463, Paternal primers Ct = 32.49 ± 1.327 (mean ± standard deviation)). As Ct decreases with increasing copy number, the paternal primers amplified better than the maternal set.

To control for this difference in primer efficiency we used a modification of the pfaffl method to calculate a measure of expression (Liu & Saint, 2002; Pfaffl, 2001). This includes efficiency in its calculations (see ‘Methods’). The patrigene showed significantly increased expression compared to the matrigene in ecdysone 20-monooxygenase-like (Fig. 3) (paired t-test: t = − 7.517, df = 4, p-value = 0.001676). For IMP-L2-like, the matrigene was more expressed than the patrigene (Fig. 4) (paired t-test: t = 3.409, df = 4, p-value = 0.02705).

Figure 3. Expression (measured as ratio of allelic to reference primer expression (see ‘Methods’)) differences between maternal and paternal alleles of ecdysone 20-monooxygenase-like.

Figure 3

The first plot shows the expression data as individual dots. The diagonal lines join data from the same bee. Boxplots represent the distributions. The second plot shows the proportion of maternal to paternal expression as individual dots.

Figure 4. Expression (measured as ratio of allelic to reference primer expression (see ‘Methods’)) differences between maternal and paternal alleles of Ecdysone-inducible gene L2 (IMP-L2-like).

Figure 4

The first plot shows the expression data as individual dots. The diagonal lines join data from the same bee. Boxplots represent the distributions. The second plot shows the proportion of maternal to paternal expression as individual dots.

Discussion

Using a candidate gene approach we found evidence for allele specific expression in the bumblebee, Bombus terrestris. Out of twelve genes examined during this study, we found exonic variation in only three genes; MBLK1-like, IMP-L2-like and ecdysone 20-monooxygenase-like. Of these we were able to carry out allele specific qPCR on IMP-L2-like and ecdysone 20-monooxygenase-like. We found allele specific expression in ecdysone 20-monooxygenase-like and IMP-L2-like.

Use of SSCP to find exonic variation is challenging. SSCP detects variation in fragments up to 500bp size with a high resolution of 1bp. However, the sensitivity of SSCP decreases when the fragment length exceeds 200bp (Weber et al., 2005). Thus medium length fragments around 200bp were used for this analysis. Covering the full exome using SSCP would be a time consuming and labour intensive process. Added to this, variation in protein coding exons is expected to be rarer than in introns (Castle, 2011). One possibility would be to look at the exons in untranslated regions (UTRs), which would be expected to be more variable than protein coding exons (Araujo et al., 2012; Lytle, Yario & Steitz, 2007).

Our expression analysis used the bees’ whole bodies. Therefore gene expression patterns observed during this analysis should represent the overall expression of all body tissues. However, potentially it means allele specific expression which is only found in some tissues would be masked by the overall response.

We found allele specific expression in Ecdysone 20 monooxygenase. Ecdysone 20 monooxygenase catalyses the reaction which turns ecdysteroid ecdysone into 20-hydroxyecdysone, also an ecdysteroid. An up-regulation of ecdysone 20-monooxygenase-like was observed in egg laying honeybee workers compared to non-reproductive workers (Cardoen et al., 2011). Generally, ecdysteroids have been identified as key regulators of B. terrestris worker reproduction (Geva, Hartfelder & Bloch, 2005). Ecdysteriods are key compounds involved in ovary activation, regulating agonistic behaviour and establishing the dominance hierarchy in workers and queens (Geva, Hartfelder & Bloch, 2005). We also found allele specific expression in IMP-L2-like. In honeybees, this gene is linked with reproductive inhibition of workers. It functions similarly to an insulin like peptide and negatively regulates insulin signaling pathways to repress ovary activation (Cardoen et al., 2011; Grozinger et al., 2007).

Our analysis found allele specific expression in two worker reproduction genes. We are interested in this as an example of epigenetics. However, allele specific expression is known to be caused by a number of genetic (i.e., cis-acting inherited variation) as well as epigenetic (e.g., genomic imprinting) processes (Palacios et al., 2009). As our results are based on a single genetic line (colony) we are unable to say whether the examples of allele specific expression we found are due to epigenetic or genetic causes.

Given this, it is still interesting to note that the expression patterns of both ecdysone 20-monooxygenase-like and IMP-L2-like are consistent with those predicted for genomic imprinted genes involved in worker reproduction in a singly mated social insect colony (Queller, 2003). Queller (2003) used Haig’s kinship theory for the evolution of genomic imprinting (Haig, 2000) to predict the imprinting patterns of genes involved in various functions under various social contexts in the social insects. He predicted that genes that are associated with the initiation of worker reproduction (e.g., ecdysone 20-monooxygenase-like) should be paternally expressed in social insect species such as B. terrestris with singly-mated, monogynous (one queen), queenright (queen still alive) colonies. Ecdysone 20-monooxygenase-like’s expression is consistent with increased paternal expression. Reciprocally we would expect a gene that inhibits worker reproduction (e.g., IMP-L2-like) to be maternally expressed. IMP-L2-like’s expression is consistent with increased maternal expression. Fascinating as this is, it must be tempered with the proviso that, as previously stated, this work was carried out on a single genetic line so cannot differentiate epigenetic from genetic causes.

Clearly the candidate gene approach is limited in its application. Next generation sequencing technology allows gene expression analysis at genome-wide scale (RNA-seq). Several recent papers have applied RNA-seq to search, without bias, for novel imprinted genes in mammals (Okae et al., 2012; DeVeale, Van der Kooy & Babak, 2012; Gregg et al., 2010; Wang & Clark, 2014) and flowering plants (Gehring, 2013). Our results suggest that this could be a potentially fruitful avenue for research in social insects.

Supplemental Information

Table S1. Details of primers sets used in PCR reactions.
DOI: 10.7717/peerj.1079/supp-1
Table S2. Sequences of loci for which there was heterozygote workers.

Snps are in red.

DOI: 10.7717/peerj.1079/supp-2
Supplemental Information 3. qPCR dataset.
DOI: 10.7717/peerj.1079/supp-3

Acknowledgments

Thanks to Sally Adams for discussions.

Funding Statement

This work was financially supported by NERC grant no. NE/H010408/1 to EBM. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Additional Information and Declarations

Competing Interests

The authors declare there are no competing interests.

Author Contributions

Harindra E. Amarasinghe conceived and designed the experiments, performed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Bradley J. Toghill conceived and designed the experiments, performed the experiments, analyzed the data, reviewed drafts of the paper.

Despina Nathanael performed the experiments, reviewed drafts of the paper.

Eamonn B. Mallon conceived and designed the experiments, analyzed the data, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

References

  • Amarasinghe, Clayton & Mallon (2014).Amarasinghe HE, Clayton CI, Mallon EB. Methylation and worker reproduction in the bumble-bee (Bombus terrestris) Proceedings of the Royal Society B: Biological Sciences. 2014;281(1780):20132502. doi: 10.1098/rspb.2013.2502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Araujo et al. (2012).Araujo PR, Yoon K, Ko D, Smith AD, Qiao M, Suresh U, Burns SC, Penalva LOF. Before it gets started: regulating translation at the 5′ UTR. International Journal of Genomics. 2012;2012:e1079. doi: 10.1155/2012/475731. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Bonasio et al. (2012).Bonasio R, Li Q, Lian J, Mutti NS, Jin L, Zhao H, Zhang P, Wen P, Xiang H, Ding Y, Jin Z, Shen SS, Wang Z, Wang W, Wang J, Berger SL, Liebig J, Zhang G, Reinberg D. Genome-wide and caste-specific DNA methylomes of the ants Camponotus floridanus and Harpegnathos saltator. Current Biology. 2012;22(19):1755–1764. doi: 10.1016/j.cub.2012.07.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Cardoen et al. (2011).Cardoen D, Wenseleers T, Ernst UR, Danneels EL, Laget D, DE Graaf DC, Schoofs L, Verleyen P. Genome-wide analysis of alternative reproductive phenotypes in honeybee workers. Molecular Ecology. 2011;20(19):4070–4084. doi: 10.1111/j.1365-294X.2011.05254.x. [DOI] [PubMed] [Google Scholar]
  • Castle (2011).Castle JC. SNPs occur in regions with less genomic sequence conservation. PLoS ONE. 2011;6(6):e1079. doi: 10.1371/journal.pone.0020660. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Chittka, Wurm & Chittka (2012).Chittka A, Wurm Y, Chittka L. Epigenetics: the making of ant castes. Current Biology. 2012;22(19):R835–R838. doi: 10.1016/j.cub.2012.07.045. [DOI] [PubMed] [Google Scholar]
  • DeVeale, Van der Kooy & Babak (2012).DeVeale B, Van der Kooy D, Babak T. Critical evaluation of imprinted gene expression by RNA–Seq: a new perspective. PLoS Genetics. 2012;8(3):e1079. doi: 10.1371/journal.pgen.1002600. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Formesyn et al. (2014).Formesyn EM, Cardoen D, Ernst UR, Danneels EL, Van Vaerenbergh M, De Koker D, Verleyen P, Wenseleers T, Schoofs L, de Graaf DC. Reproduction of honeybee workers is regulated by epidermal growth factor receptor signaling. General and Comparative Endocrinology. 2014;197:1–4. doi: 10.1016/j.ygcen.2013.12.001. [DOI] [PubMed] [Google Scholar]
  • Gasser et al. (2007).Gasser RB, Hu M, Chilton NB, Campbell BE, Jex AJ, Otranto D, Cafarchia C, Beveridge I, Zhu X. Single-strand conformation polymorphism (SSCP) for the analysis of genetic variation. Nature Protocols. 2007;1(6):3121–3128. doi: 10.1038/nprot.2006.485. [DOI] [PubMed] [Google Scholar]
  • Gehring (2013).Gehring M. Genomic imprinting: insights from plants. Annual Review of Genetics. 2013;47(1):187–208. doi: 10.1146/annurev-genet-110711-155527. [DOI] [PubMed] [Google Scholar]
  • Geva, Hartfelder & Bloch (2005).Geva S, Hartfelder K, Bloch G. Reproductive division of labor, dominance, and ecdysteroid levels in hemolymph and ovary of the bumble bee Bombus terrestris. Journal of Insect Physiology. 2005;51(7):811–823. doi: 10.1016/j.jinsphys.2005.03.009. [DOI] [PubMed] [Google Scholar]
  • Gineikiene, Stoskus & Griskevicius (2009).Gineikiene E, Stoskus M, Griskevicius L. Single nucleotide polymorphism-based system improves the applicability of quantitative PCR for chimerism monitoring. The Journal of Molecular Diagnostics. 2009;11(1):66–74. doi: 10.2353/jmoldx.2009.080039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Glastad et al. (2011).Glastad KM, Hunt BG, Yi SV, Goodisman MAD. DNA methylation in insects: on the brink of the epigenomic era. Insect Molecular Biology. 2011;20(5):553–565. doi: 10.1111/j.1365-2583.2011.01092.x. [DOI] [PubMed] [Google Scholar]
  • Gregg et al. (2010).Gregg C, Zhang J, Weissbourd B, Luo S, Schroth GP, Haig D, Dulac C. High-resolution analysis of parent-of-origin allelic expression in the mouse brain. Science. 2010;329(5992):643–648. doi: 10.1126/science.1190830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Grozinger et al. (2007).Grozinger CM, Fan Y, Hoover SER, Winston ML. Genome-wide analysis reveals differences in brain gene expression patterns associated with caste and reproductive status in honey bees (Apis mellifera) Molecular Ecology. 2007;16(22):4837–4848. doi: 10.1111/j.1365-294X.2007.03545.x. [DOI] [PubMed] [Google Scholar]
  • Haig (2000).Haig D. The kinship theory of genomic imprinting. Annual Review of Ecology and Systematics. 2000;31:9–32. doi: 10.1146/annurev.ecolsys.31.1.9. [DOI] [Google Scholar]
  • Jarosch et al. (2011).Jarosch A, Stolle E, Crewe RM, Moritz RFA. Alternative splicing of a single transcription factor drives selfish reproductive behavior in honeybee workers (Apis mellifera) Proceedings of the National Academy of Sciences of the United States of America. 2011;108(37):15282–15287. doi: 10.1073/pnas.1109343108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Liu & Saint (2002).Liu W, Saint DA. A new quantitative method of real time reverse transcription polymerase chain reaction assay based on simulation of polymerase chain reaction kinetics. Analytical Biochemistry. 2002;302(1):52–59. doi: 10.1006/abio.2001.5530. [DOI] [PubMed] [Google Scholar]
  • Lytle, Yario & Steitz (2007).Lytle JR, Yario TA, Steitz JA. Target mRNAs are repressed as efficiently by microRNA-binding sites in the 5′ UTR as in the 3′ UTR. Proceedings of the National Academy of Sciences of the United States of America. 2007;104(23):9667–9672. doi: 10.1073/pnas.0703820104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Nielsen, Novoradovsky & Goldman (1995).Nielsen DA, Novoradovsky A, Goldman D. SSCP primer design based on single-strand DNA structure predicted by a DNA folding program. Nucleic Acids Research. 1995;23(12):2287–2291. doi: 10.1093/nar/23.12.2287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Okae et al. (2012).Okae H, Hiura H, Nishida Y, Funayama R, Tanaka S, Chiba H, Yaegashi N, Nakayama K, Sasaki H, Arima T. Re-investigation and RNA sequencing-based identification of genes with placenta-specific imprinted expression. Human Molecular Genetics. 2012;21(3):548–558. doi: 10.1093/hmg/ddr488. [DOI] [PubMed] [Google Scholar]
  • Palacios et al. (2009).Palacios R, Gazave E, Goñi J, Piedrafita G, Fernando O, Navarro A, Villoslada P. Allele-specific gene expression is widespread across the genome and biological processes. PLoS ONE. 2009;4(1):e1079. doi: 10.1371/journal.pone.0004150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Pereboom et al. (2005).Pereboom JJM, Jordan WC, Sumner S, Hammond RL, Bourke AFG. Differential gene expression in queenworker caste determination in bumble-bees. Proceedings of the Royal Society B: Biological Sciences. 2005;272(1568):1145–1152. doi: 10.1098/rspb.2005.3060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Pfaffl (2001).Pfaffl MW. A new mathematical model for relative quantification in real-time RT–PCR. Nucleic Acids Research. 2001;29(9):e45–e45. doi: 10.1093/nar/29.9.e45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Queller (2003).Queller DC. Theory of genomic imprinting conflict in social insects. BMC Evolutionary Biology. 2003;3:15. doi: 10.1186/1471-2148-3-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • R Core Team (2015).R Core Team . R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2013. Available at http://www.R-project.org/ [Google Scholar]
  • Sadd et al. (2015).Sadd BM, Barribeau SM, Bloch G, de Graaf DC, Dearden P, Elsik CG, Gadau J, Grimmelikhuijzen CJ, Hasselmann M, Lozier JD, Robertson HM, Smagghe G, Stolle E, Van Vaerenbergh M, Waterhouse RM, Bornberg-Bauer E, Klasberg S, Bennett AK, Câmara F, Guigó R, Hoff K, Mariotti M, Munoz-Torres M, Murphy T, Santesmasses D, Amdam GV, Beckers M, Beye M, Biewer M, Bitondi MM, Blaxter ML, Bourke AF, Brown MJ, Buechel SD, Cameron R, Cappelle K, Carolan JC, Christiaens O, Ciborowski KL, Clarke DF, Colgan TJ, Collins DH, Cridge AG, Dalmay T, Dreier S, du Plessis L, Duncan E, Erler S, Evans J, Falcon T, Flores K, Freitas FC, Fuchikawa T, Gempe T, Hartfelder K, Hauser F, Helbing S, Humann FC, Irvine F, Jermiin LS, Johnson CE, Johnson RM, Jones AK, Kadowaki T, Kidner JH, Koch V, Köhler A, Kraus FB, Lattorff HMG, Leask M, Lockett GA, Mallon EB, Antonio DSM, Marxer M, Meeus I, Moritz RF, Nair A, Näpflin K, Nissen I, Niu J, Nunes FM, Oakeshott JG, Osborne A, Otte M, Pinheiro DG, Rossié N, Rueppell O, Santos CG, Schmid-Hempel R, Schmitt BD, Schulte C, Simões ZL, Soares MP, Swevers L, Winnebeck EC, Wolschin F, Yu N, Zdobnov EM, Aqrawi PK, Blankenburg KP, Coyle M, Francisco L, Hernandez AG, Holder M, Hudson ME, Jackson L, Jayaseelan J, Joshi V, Kovar C, Lee SL, Mata R, Mathew T, Newsham IF, Ngo R, Okwuonu G, Pham C, Pu L-L, Saada N, Santibanez J, Simmons D, Thornton R, Venkat A, Walden KK, Wu Y-Q, Debyser G, Devreese B, Asher C, Blommaert J, Chipman AD, Chittka L, Fouks B, Liu J, O’Neill MP, Sumner S, Puiu D, Qu J, Salzberg SL, Scherer SE, Muzny DM, Richards S, Robinson GE, Gibbs RA, Schmid-Hempel P, Worley KC. The genomes of two key bumblebee species with primitive eusocial organization. Genome Biology. 2015;16(1):1–31. doi: 10.1186/s13059-015-0623-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Thompson et al. (2007).Thompson GJ, Yockey H, Lim J, Oldroyd BP. Experimental manipulation of ovary activation and gene expression in honey bee (Apis mellifera) queens and workers: testing hypotheses of reproductive regulation. Journal of Experimental Zoology Part a-Ecological Genetics and Physiology. 2007;307A:600–610. doi: 10.1002/jez.415. [DOI] [PubMed] [Google Scholar]
  • Vergoz, Lim & Oldroyd (2012).Vergoz V, Lim J, Oldroyd B. Biogenic amine receptor gene expression in the ovarian tissue of the honey bee Apis mellifera. Insect Molecular Biology. 2012;21(1):21–29. doi: 10.1111/j.1365-2583.2011.01106.x. [DOI] [PubMed] [Google Scholar]
  • Wang & Clark (2014).Wang X, Clark AG. Using next-generation RNA sequencing to identify imprinted genes. Heredity. 2014;113(2):156–166. doi: 10.1038/hdy.2014.18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Weber et al. (2005).Weber F, Fukino K, Villalona-Calero M, Eng C. Limitations of single-strand conformation polymorphism analysis as a high-throughput method for the detection of EGFR mutations in the clinical setting. Journal of Clinical Oncology. 2005;23(24):5847–5848. doi: 10.1200/JCO.2005.01.5222. [DOI] [PubMed] [Google Scholar]
  • Weiner & Toth (2012).Weiner SA, Toth AL. Epigenetics in social insects: a new direction for understanding the evolution of castes. Genetics Research International. 2012;2012:609810. doi: 10.1155/2012/609810. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Welch & Lister (2014).Welch M, Lister R. Epigenomics and the control of fate, form and function in social insects. Current Opinion in Insect Science. 2014;1:31–38. doi: 10.1016/j.cois.2014.04.005. [DOI] [PubMed] [Google Scholar]
  • Yan et al. (2014).Yan H, Simola DF, Bonasio R, Liebig J, Berger SL, Reinberg D. Eusocial insects as emerging models for behavioural epigenetics. Nature Reviews Genetics. 2014;15(10):677–688. doi: 10.1038/nrg3787. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1. Details of primers sets used in PCR reactions.
DOI: 10.7717/peerj.1079/supp-1
Table S2. Sequences of loci for which there was heterozygote workers.

Snps are in red.

DOI: 10.7717/peerj.1079/supp-2
Supplemental Information 3. qPCR dataset.
DOI: 10.7717/peerj.1079/supp-3

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