Article | Open | Published:

Comprehensive DNA methylation analysis of the Aedes aegypti genome

Scientific Reports volume 6, Article number: 36444 (2016) | Download Citation


Aedes aegypti mosquitoes are important vectors of viral diseases. Mosquito host factors play key roles in virus control and it has been suggested that dengue virus replication is regulated by Dnmt2-mediated DNA methylation. However, recent studies have shown that Dnmt2 is a tRNA methyltransferase and that Dnmt2-dependent methylomes lack defined DNA methylation patterns, thus necessitating a systematic re-evaluation of the mosquito genome methylation status. We have now searched the Ae. aegypti genome for candidate DNA modification enzymes. This failed to reveal any known (cytosine-5) DNA methyltransferases, but identified homologues for the Dnmt2 tRNA methyltransferase, the Mettl4 (adenine-6) DNA methyltransferase, and the Tet DNA demethylase. All genes were expressed at variable levels throughout mosquito development. Mass spectrometry demonstrated that DNA methylation levels were several orders of magnitude below the levels that are usually detected in organisms with DNA methylation-dependent epigenetic regulation. Furthermore, whole-genome bisulfite sequencing failed to reveal any evidence of defined DNA methylation patterns. These results suggest that the Ae. aegypti genome is unmethylated. Interestingly, additional RNA bisulfite sequencing provided first evidence for Dnmt2-mediated tRNA methylation in mosquitoes. These findings have important implications for understanding the mechanism of Dnmt2-dependent virus regulation.


Aedes aegypti mosquitoes are important vectors of viral diseases, such as yellow fever, dengue, chikungunya and Zika, which have a significant impact on human morbidity and mortality1. The incidence of dengue has grown around the world in the last decades, and since 2015, an outbreak of Zika virus infections in Brazil, with increasing number of microcephaly-associated cases, has raised serious worldwide public health concerns2. Vector control strategies, such as the use of insecticide applications have proven ineffective due to the rapid development of resistance by the mosquitoes3. Thus, it has become mandatory that we better understand the biology of the vector/pathogen interactions.

The viruses display the remarkable capacity to survive and replicate in two very different host organisms, which is accomplished by a genome encoding a mere 10 proteins4. To be successful, the viruses must engage in molecular interactions that allow the virus to utilize existing host cellular systems and factors to perpetuate the virus lifecycle. It has become clear that mosquito host factors are involved in the RNA replication, transcription and translation of several flaviviruses5. In this regard, dengue virus (DENV) replication has been recently shown to be influenced by AaDnmt2 and it was suggested that this could be mediated by Dnmt2-dependent DNA methylation6. However, the DNA methylation status of the Ae. aegypti genome has so far only been investigated by indirect methods7.

DNA methylation is a conserved epigenetic modification with complex regulatory functions8,9,10. Most methylation marks on eukaryotic genomes are found at cytosine-5 (m5C) and are catalyzed by the Dnmt1 and Dnmt3 DNA methyltransferases11. In addition, Dnmt2 contains all the signature motifs of a DNA methyltransferase, but the enzyme actually functions as a (cytosine-5) tRNA methyltransferase11,12,13. More recently, very low levels of adenine-6 DNA methylation (m6A) have also been described in various eukaryotic genomes14. This modification is catalyzed by a different family of enzymes and may contribute to epigenetic gene regulation15.

Dnmt2 as a widely conserved enzyme and its potential DNA methyltransferase activity has been discussed controversially over a considerable period of time12. The functional characterization of the enzyme was greatly aided by the availability of Dnmt2-deficient Drosophila strains. Detailed molecular analyses have shown that Drosophila Dnmt2 is not a DNA methyltransferase, but a C38 tRNA methyltransferase16,17,18. Flies lacking Dnmt2 are viable and fertile but have shown subtle phenotypic effects in a variety of assays16,17. Loss of Dnmt2 promotes endonucleolytic cleavage of tRNA fragments in flies17, and results in the loss of RNA-dependent gene regulation19. While Dnmt2 has also been shown to contribute to RNA virus control in Drosophila, the underlying mechanisms are fundamentally different from classical epigenetic regulation by DNA modifications20. These findings have prompted us to directly investigate the DNA methylation status of the Ae. aegypti genome.


Conservation of candidate DNA modification enzymes in Ae. aegypti

Previous studies have suggested that the Ae. aegypti genome is methylated and that Dnmt2-mediated methylation is involved in DENV replication in the mosquito vector6,7. However, important mechanistic details remained to be elucidated. We therefore performed a systematic analysis of the mosquito genome for candidate genes that are known to be involved in DNA modification. This approach failed to identify homologues of the known (cytosine-5) DNA methyltransferases, Dnmt1 and Dnmt3 (Fig. 1A). We could, however, detect a highly conserved Dnmt2 homologue (Fig. 1A), which contains all the conserved motifs of Dnmt2 enzymes with experimentally confirmed C38 tRNA methyltransferase activity (Fig. 1B, Fig. S1). Finally, we also detected homologues of Mettl4 and Tet in the Ae. aegypti genome (Fig. 1A). These genes have been implicated in (adenine-6) DNA methylation and demethylation, respectively14. (Adenine-6) methylation has been shown to be present in the Drosophila genome, but appears to be restricted to a small window of time during early embryonic development21.

Figure 1: Conservation of Dnmt2, Mettl4 and Tet in Ae. aegypti.
Figure 1

(A) An analysis of the Ae. aegypti peptide database version 3.3 revealed the presence of single homologues for Dnmt2, Mettl4 and Tet, respectively. Conserved domains are shown as colored boxes. Dnmt1: orange - DMAP1 binding domain, red - replication foci domain, blue - CXXC zinc finger domain, green - bromo adjacent homology domain, purple - catalytic domain. Dnmt2: purple - catalytic domain. Dnmt3: green - PWWP domain, blue - zinc finger domain, purple - catalytic domain. Mettl4: magenta - catalytic domain. Tet: blue - CXXC zinc finger domain, pink-catalytic domain. Accession numbers are provided below the protein symbols. n.d., not detected. (B) Multiple sequence alignment of the DNA methyltransferase motifs of AaDnmt2 and the corresponding sequences of several Dnmt2 homologs with experimentally validated C38 tRNA methyltransferase activity. Black background denotes 100% identity, dark grey background 80–99% identity and grey background 60–79% identity. The catalytic motifs are highlighted in red, the Dnmt2-specific CFT motif34 is highlighted in green. For additional details, see Fig. S1.

Expression of AaDnmt2, AaMettl4 and AaTet in Ae. aegypti

AaDnmt2 has been shown to be expressed in larval and adult stages of Ae. aegypti development, with highest levels in ovaries6. However, the expression of AaMettl4 and AaTet has not been investigated yet. We therefore performed quantitative real-time to evaluate the mRNA levels of all three genes during various stages of development and in various tissues. The expression levels of AaDnmt2 in all four embryonic stages were higher than in the four larval stages, pupae, and male or female adults, and reached their peak in 60 h embryos (Fig. 2A). Importantly, when we analyzed the expression of AaDnmt2 in individual dissected organs, moderate levels of mRNA were detected in the ovary and male fat bodies, whereas mRNA levels were low in testis, midgut and female fat bodies (Fig. 2A). Similar mRNA expression profiles were observed for AaMettl4 and AaTet (Fig. 2B,C), except for AaTet in 6 h embryos, where only very low levels were detected (Fig. 2B). The expression of AaMettl4 and AaTet in most of the adult tissues followed the pattern of AaDnmt2 expression. However, the mRNA levels of AaMettl4 in the ovary were significantly increased (Fig. 2C). Together, these data provide a detailed characterization of the developmental expression pattern for all three enzymes.

Figure 2: Expression of candidate DNA modification enzymes during different mosquito life stages and adult tissues.
Figure 2

mRNA expression levels were determined by qRT-PCR for (A) AaDNMT2, (B) AaMettl4 and (C) AaTet using AaRP-49 mRNA for normalization. Bars represent relative expression levels with standard errors. Stages of embryo development are indicated in hours after oviposition. 1st instar larvae (L1), 2nd instar larvae (L2), 3rd instar larvae (L3), 4th instar larvae (L4), pupae (P), male (M), female (F), fat body (FB). Values are means of triplicate samples.

Mass spectrometry analysis of DNA methylation

In order to investigate the functionality of the Ae. aegypti DNA methylation system, we used highly sensitive mass spectrometry to quantitatively determine DNA methylation levels during various stages of embryonic development and in whole adult animals. In addition, we included human blood DNA as a positive control. The results showed robust (5.3%) levels of cytosine methylation for human blood, but showed only marginal levels (<50 ppm) of this modification for the various Ae. aegypti samples (Fig. 3A). We also used mass spectrometry to quantitatively determine adenine methylation levels in the same samples. For this analysis, we included E. coli DNA as a positive control, as adenine methylation is known to be prevalent in bacterial DNA22. Indeed, our results showed robust (1.7%) levels of adenine methylation for the E. coli sample, but only marginal levels (<50 ppm) for the Ae. aegypti samples (Fig. 3B). The somewhat elevated methylation levels that were consistently observed in adults are likely caused by bacterial DNA from the mosquito microbiota. Together, our results suggest that the mosquito genome is either methylated at extremely low levels or not at all.

Figure 3: DNA methylation analysis of Ae. aegypti genomic DNA.
Figure 3

Quantitative analysis of (A) 5-methylcytosine and (B) 6-methyladenine levels by mass spectrometry. Samples were from various developmental stages and tissues, as indicated. All results represent average values from three or more measurements. Standard deviations are indicated by error bars.

Sequencing-based analysis of cytosine-5 DNA methylation patterns

To further investigate cytosine methylation in the Ae. aegypti genome, we used whole-genome bisulfite sequencing. This method represents the current gold standard for DNA methylation analysis and allows the generation of genome-wide methylation maps at single-base resolution23. Importantly, because DNA methylation is detected in its species-specific DNA sequence context, this method also precludes contaminations from bacterial DNA in the methylation analysis.

DNA for whole-genome bisulfite sequencing was prepared from mixed (1:1) adult males and females. For controls, 1% of unmethylated bacteriophage lambda DNA (negative control) and 8% of human blood DNA (positive control) were spiked into the Ae. aegypti sample prior to bisulfite conversion. Sequencing on an Illumina X-Ten platform generated 494 million read pairs that were subsequently mapped to the Ae. aegypti, lambda and human reference genomes, resulting in average CpG coverages of 26× (Ae. aegypti), 3670× (lambda) and 1× (human), respectively.

A detailed analysis of the Ae. aegypti data showed that the vast majority (99.9%) of cytosine residues appeared completely unmethylated (ratio <0.1), while only 0.0005% showed a non-conversion ratio >0.5 (Fig. 4A). This distribution was similar to the spiked-in negative control (Fig. 4A), but substantially different from the positive control, which showed complete methylation (ratio >0.9) for 2.0% of the cytosine residues (Fig. 4A). Pronounced differences between the mosquito and human samples were also detectable for the dinucleotide sequence context of non-converted cytosine residues. While the human blood data showed the known enrichment for CpG dinucleotides, no enrichment could be detected in the Ae. aegypti and lambda (negative control) datasets (Fig. 4B). Together, these results strongly suggest that the mosquito genome is unmethylated at cytosine residues. As such, AaDnmt2-dependent regulation of Dengue virus replication6 would have to be independent of cytosine DNA methylation.

Figure 4: Characterization of the Ae. aegypti methylome by whole-genome bisulfite sequencing.
Figure 4

(A) Average methylation levels were determined for all cytosine residues and then distributed into bins with increasing methylation ratios. For comparison, the corresponding data is also shown for bacteriophage lambda (negative control) and human blood (positive control) DNA that was spiked into the Ae. aegypti sample prior to bisulfite conversion. The actual numerical values of the first bins are indicated above the corresponding bars. (B) Dinucleotide sequence context of unconverted cytosines. No unconverted cytosines were found in the lambda dataset.

Sequencing-based analysis of tRNA methylation patterns

Research over the past few years strongly suggested that Dnmt2 is a tRNA methyltransferase, rather than a DNA methyltransferase16,18. Moreover, our previous work in Drosophila has shown that Dnmt2 specifically methylates C38 of tRNA(Asp), tRNA(Gly) and tRNA(Val)17. As Dnmt2-dependent C38 methylation is widely conserved in evolution (Fig. 1B), it is reasonable to assume that it was also present in Ae. aegypti. We therefore established RNA bisulfite sequencing assays to investigate the methylation patterns of known Dnmt2 substrate tRNAs in the mosquito. Deep sequencing of tRNA(Asp) and tRNA(Gly) amplicons demonstrated the presence of conserved tRNA methylation patterns in adult mosquitoes (Fig. 5). This included almost complete methylation of C38 (Fig. 5), thus demonstrating the conservation of this modification in Ae. aegypti. These findings have important implications for understanding the mechanism of AaDnmt2-dependent virus control, as discussed below.

Figure 5: Methylation analysis of tRNA(Asp) and tRNA(Gly) by deep RNA bisulfite sequencing.
Figure 5

Each row represents a sequence read, each column a cytosine residue. Yellow boxes represent unmethylated cytosine residues, blue boxes indicate methylated cytosine residues, sequencing gaps are shown in white. The positional number of each specific cytosine residue is shown at the bottom and the Dnmt2 target site (C38) is highlighted by a blue arrowhead. Sequencing coverages were 713× for tRNA(Asp) and 462× for tRNA(Gly).


(Cytosine-5) DNA methylation is an important epigenetic modification with regulatory functions in many biological processes, including cellular differentiation, X-chromosome inactivation and transposon control8,9,10. Interestingly, recent results also suggest epigenetic regulatory functions for (adenine-6) DNA methylation14. Despite the considerable evolutionary conservation of both cytosine and adenine methylation, it is important to notice that these modifications do not have a conserved essential function, as several eukaryotic organisms are known to have unmethylated genomes18.

Our data suggest that the Ae. aegypti genome is largely unmethylated. Very low levels of 6 mA are consistent with findings in Drosophila, where adenine methylation could only be detected by highly sensitive methods and during very early stages of development21. While m6A has been implicated in transposon regulation in Drosophila, the modification showed a positive correlation with transposon expression, which is currently not understood mechanistically21. Similarly, our results obtained for 5 mC with Ae. aegypti DNA were consistent with our previous findings in Drosophila18 and suggest that the mosquito genome is not methylated at cytosine residues. The extremely low methylation levels detected in our analysis are unlikely to be of biological relevance and may have been caused by spurious enzyme activity and/or by contamination with highly modified bacterial DNA.

The absence of detectable DNA methylation in Ae. aegypti requires a novel mechanistic explanation for the observed role of AaDnmt2 in DENV replication6. This could be provided by Dnmt2-mediated tRNA methylation. Indeed, we could show that C38 methylation of tRNA(Asp) and tRNA(Gly) is conserved in Ae. aegypti. Our attempts to directly demonstrate the dependency of C38 methylation on AaDnmt2 by RNAi were unsuccessful (data not shown). Also, specific inhibitors for the establishment of AaDnmt2 function are not available, as azacytidine has an indirect mode of action with complex effects on many cellular pathways24,25. However, the AaDnmt2 signature motifs are highly conserved with Dnmt2 homologs that have experimentally been validated as C38 tRNA methyltransferases (Fig. 1B), which strongly suggests that C38 tRNA methylation in Ae. aegypti is catalyzed by AaDnmt2. A more detailed functional characterization of AaDnmt2 will require the generation of genetically mutant alleles.

In this context it is particularly interesting to note that Dnmt2-deficient Drosophila have shown a pronounced defect in their ability to control the proliferation of RNA viruses20. More specifically, it was demonstrated that Dnmt2 mutant flies accumulate high levels of Drosophila C virus (DCV) and that Dnmt2 binds to DCV RNAs20. While our results indicate only relatively low levels of AaDnmt2 mRNA in the midgut and female fat body of uninfected mosquitoes, expression became moderately, but significantly induced in midguts from DENV-infected mosquitoes (Fig. S2). As DENV replication requires many RNA-RNA cis interactions of the DENV RNA26, it is conceivable that AaDnmt2 could either facilitate or disturb some of these interactions.


Mosquito culture and sample collection

Ae. aegypti (Red Eye strain) were reared in an insectary at the Federal University of Rio de Janeiro, Brazil, at 28  ±  2 °C and 80  ±  5% humidity on a 12 h light-dark cycle. The larvae were fed with dog chow. The different embryo development stages were collected as previously reported27 and optical images were acquired in a Leica stereomicroscope M205 (Wetzlar, Germany). Mosquito life stages larva 1 (L1), larva 2 (L2), larva 3 (L3), larva 4 (L4) and pupa (P) were collected according to standard protocols and macroscopic observation. Three- to four-day-old male and female mosquitoes were used in the experiments. The mosquitoes were cold-anesthetized in phosphate buffered saline to dissect the ovary, testis, midgut and fat body.

Gene expression analysis

Total RNA from all biological samples were extracted with TRIZOL reagent (Invitrogen, California, USA) following the manufacturer’s protocol. RNA was treated with DNase I (Qiagen, Hilden, Germany) and the first-strand cDNA synthesis was carried out using First-strand cDNA Sythesis Kit (Invitrogen, California, USA). The amplification efficiency of each gene was evaluated with serial dilution of cDNA and selected when efficiency was greater than 90%. Quantitative PCR was performed in a StepOnePlus Real Time PCR System (Applied Biosystems, St. Louis, MO) using Power SYBR Green PCR Master Mix (Applied Biosystems, St. Louis, MO) and 300 nM of forward and reverse primers with standard reaction conditions (20 seconds at 95 °C followed by 40 cycles of 95 °C for 1 second and 20 seconds at 60 °C followed by a melting curve). The comparative ΔΔCt method was used to evaluate changes in gene expression. The Ae. aegypti ribosomal protein 49 gene, RP-49, was used as endogenous control (accession number AAT45939). Each figure represents at least three biological replicates with three technical replicates. Primer sequences are provided in Supplementary Table 1.

Measurement of global DNA methylation levels by mass spectrometry

Sample preparation and LC-MS/MS analyses were conducted as described previously28,29 using 50 ng/injection of an internal standard derived from 13C labeled total DNA of Saccharomyces cerevisiae and were performed on an Agilent 1260 LC system connected to an Agilent 6460 TripleQuad mass spectrometer (Agilent, Böblingen, Germany). N6-methyldeoxyadenosine (m6dA) content in the S. cerevisiae DNA digest was calibrated by a nucleoside standard (Sigma Aldrich, Steinheim, Germany). Quantification of 5-methyldeoxycytidine (m5dC) was achieved via a chemically synthesized triple deuterated internal standard as described recently30,31.

Whole-genome bisulfite sequencing

Genomic DNA was purified from whole adult mosquitoes (equal numbers of males and females) using the DNeasy Blood & Tissue Kit (Qiagen) following the manufacturer’s instructions. As a spike-in control, unmethylated bacteriophage lambda DNA (Promega) and genomic DNA extracted from human blood (Blood & Cell Culture DNA Kit, Qiagen) were used. Library preparation was performed as described previously18. Paired-end sequencing was performed on an Illumina X-Ten system. Unique reads were trimmed to a maximum length of 80 bp and stretches of bases having a quality score <30 at read ends were removed. Reads were mapped using BSMAP 2.032. Only reads mapping uniquely and with both read pairs having the correct distance were used in further analyses. Methylation rates were determined using a Python script distributed with the BSMAP package. To reduce the effects of sequencing errors, methylated Cs were only called when covered by >3 reads. The Ae. aegypti Liverpool genome sequence (AaegL3) was used as a reference.

tRNA bisulfite sequencing

Whole adult mosquitoes (equal numbers of males and females) were mechanically homogenized in TRIzol (Invitrogen) using a pellet pestle. Total RNA was extracted following the manufacturer’s instructions. Bisulfite conversion was performed using the EZ RNA Methylation Kit (Zymo Research). Amplicons for 454 (Roche) sequencing were generated and analyzed as described previously33. Primer sequences are provided in Supplementary Table 1.

Additional Information

How to cite this article: Falckenhayn, C. et al. Comprehensive DNA methylation analysis of the Aedes aegypti genome. Sci. Rep. 6, 36444; doi: 10.1038/srep36444 (2016).

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.


  1. 1.

    et al. The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus. eLife 4, e08347 (2015).

  2. 2.

    , , , & Zika crisis in Brazil: challenges in research and development. Curr. Opin. Virol. 18, 76–81 (2016).

  3. 3.

    , , & Comparability between insecticide resistance bioassays for mosquito vectors: time to review current methodology? Parasit. Vectors 8, 357 (2015).

  4. 4.

    , & Functional RNA elements in the dengue virus genome. Viruses 3, 1739–1756 (2011).

  5. 5.

    & Mapping protein interactions between Dengue virus and its human and insect hosts. PLoS Negl. Trop. Dis. 5, e954 (2011).

  6. 6.

    , , & Wolbachia uses a host microRNA to regulate transcripts of a methyltransferase, contributing to dengue virus inhibition in Aedes aegypti. Proc. Natl. Acad. Sci. USA 110, 10276–10281 (2013).

  7. 7.

    et al. Infection with a Virulent Strain of Disrupts Genome Wide-Patterns of Cytosine Methylation in the Mosquito. PLoS ONE 8, e66482 (2013).

  8. 8.

    & Establishing, maintaining and modifying DNA methylation patterns in plants and animals. Nat. Rev. Genet. 11, 204–220 (2010).

  9. 9.

    & CpG islands and the regulation of transcription. Genes Dev. 25, 1010–1022 (2011).

  10. 10.

    & DNA methylation dynamics in health and disease. Nat. Struct. Mol. Biol. 20, 274–281 (2013).

  11. 11.

    & Eukaryotic cytosine methyltransferases. Annu. Rev. Biochem. 74, 481–514 (2005).

  12. 12.

    & Solving the Dnmt2 enigma. Chromosoma 119, 35–40 (2010).

  13. 13.

    et al. Mechanism and biological role of Dnmt2 in nucleic acid methylation. RNA Biol. 27, 1–16 (2016).

  14. 14.

    & Epigenetic regulatory functions of DNA modifications: 5-methylcytosine and beyond. Epigenetics Chromatin 8, 24 (2015).

  15. 15.

    et al. DNA methylation on N(6)-adenine in mammalian embryonic stem cells. Nature 532, 329–333 (2016).

  16. 16.

    et al. Methylation of tRNAAsp by the DNA methyltransferase homolog Dnmt2. Science 311, 395–398 (2006).

  17. 17.

    et al. RNA methylation by Dnmt2 protects transfer RNAs against stress-induced cleavage. Genes Dev. 24, 1590–1595 (2010).

  18. 18.

    et al. Dnmt2-dependent methylomes lack defined DNA methylation patterns. Proc. Natl. Acad. Sci. USA 110, 8627–8631 (2013).

  19. 19.

    , , , & The RNA Methyltransferase Dnmt2 Is Required for Efficient Dicer-2-Dependent siRNA Pathway Activity in Drosophila. Cell Rep. 12, 931–937 (2013).

  20. 20.

    et al. Efficient RNA virus control in Drosophila requires the RNA methyltransferase Dnmt2. EMBO Rep. 14, 269–275 (2013).

  21. 21.

    et al. N6-methyladenine DNA Modification in Drosophila. Cell 161, 893–906 (2015).

  22. 22.

    , , & N6-methyladenine: the other methylated base of DNA. Bioessays 28, 309–315 (2006).

  23. 23.

    & Finding the fifth base: genome-wide sequencing of cytosine methylation. Genome Res. 19, 959–966 (2009).

  24. 24.

    & Modes of action of the DNA methyltransferase inhibitors azacytidine and decitabine. Int. J. Cancer 123, 8–13 (2008).

  25. 25.

    , , & Azacytidine inhibits RNA methylation at DNMT2 target sites in human cancer cell lines. Cancer Res. 69, 8127–8132 (2009).

  26. 26.

    , & Insights into dengue virus genome replication. Future Virol. 5, 575–592 (2010).

  27. 27.

    et al. Germ band retraction as a landmark in glucose metabolism during Aedes aegypti embryogenesis. BMC Dev. Biol. 10, 25 (2010).

  28. 28.

    et al. Absolute and relative quantification of RNA modifications via biosynthetic isotopomers. Nucleic Acids Res. 42, e142 (2014).

  29. 29.

    et al. The marbled crayfish as a paradigm for saltational speciation by autopolyploidy and parthenogenesis in animals. Biol. Open 4, 1583–1594 (2015).

  30. 30.

    et al. Tet oxidizes thymine to 5-hydroxymethyluracil in mouse embryonic stem cell DNA. Nat. Chem. Biol. 10, 574–581 (2014).

  31. 31.

    et al. Variable presence of 5-methylcytosine in commercial RNA and DNA. RNA Biol. 12, 1152–1158 (2015).

  32. 32.

    & BSMAP: whole genome bisulfite sequence MAPping program. BMC Bioinformatics 10, 232 (2009).

  33. 33.

    et al. RNA cytosine methylation by Dnmt2 and NSun2 promotes tRNA stability and protein synthesis. Nat. Struct. Mol. Biol. 19, 900–905 (2012).

  34. 34.

    & On the evolutionary origin of eukaryotic DNA methyltransferases and Dnmt2. PLoS ONE 6, e28104 (2011).

Download references


We thank Thomas Carell (Ludwig-Maximilians-Universitiy, Munich) for generously providing [D3]dm5C and the DKFZ Genomics and Proteomics Core Facility for sequencing services.

Author information

Author notes

    • Cassandra Falckenhayn
    •  & Vitor Coutinho Carneiro

    These authors contributed equally to this work.


  1. Division of Epigenetics, DKFZ-ZMBH Alliance, German Cancer Research Center, 69120 Heidelberg, Germany

    • Cassandra Falckenhayn
    • , Katharina Hanna
    •  & Frank Lyko
  2. Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-902, Brazil

    • Vitor Coutinho Carneiro
    • , Anderson de Mendonça Amarante
    •  & Marcelo Rosado Fantappié
  3. Institute of Pharmacy and Biochemistry, Johannes Gutenberg-University Mainz, 55128 Mainz, Germany

    • Katharina Schmid
    •  & Mark Helm
  4. W. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, 21205 Baltimore, MD, USA

    • Seokyoung Kang
    •  & George Dimopoulos


  1. Search for Cassandra Falckenhayn in:

  2. Search for Vitor Coutinho Carneiro in:

  3. Search for Anderson de Mendonça Amarante in:

  4. Search for Katharina Schmid in:

  5. Search for Katharina Hanna in:

  6. Search for Seokyoung Kang in:

  7. Search for Mark Helm in:

  8. Search for George Dimopoulos in:

  9. Search for Marcelo Rosado Fantappié in:

  10. Search for Frank Lyko in:


M.R.F. and F.L. conceived the study. C.F., V.C.C., A.M.A., K.S. and K.H. conducted the experiments, C.F., V.C.C. and K.S. analysed the results. S.K., M.H. and G.D. contributed essential tools and analysis. F.L. wrote the first draft of the manuscript. All authors reviewed and approved the final manuscript.

Competing interests

The authors declare no competing financial interests.

Corresponding authors

Correspondence to Marcelo Rosado Fantappié or Frank Lyko.

Supplementary information

About this article

Publication history





Further reading

  • 1.

    Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation

    • René Luijk
    • , Haoyu Wu
    • , Cavin K Ward-Caviness
    • , Eilis Hannon
    • , Elena Carnero-Montoro
    • , Josine L. Min
    • , Pooja Mandaviya
    • , Martina Müller-Nurasyid
    • , Hailiang Mei
    • , Silvere M. van der Maarel
    • , Caroline Relton
    • , Jonathan Mill
    • , Melanie Waldenberger
    • , Jordana T. Bell
    • , Rick Jansen
    • , Alexandra Zhernakova
    • , Lude Franke
    • , Peter A. C. ‘t Hoen
    • , Dorret I. Boomsma
    • , Cornelia M. van Duijn
    • , Marleen M. J. van Greevenbroek
    • , Jan H. Veldink
    • , Cisca Wijmenga
    • , Joyce van Meurs
    • , Lucia Daxinger
    • , P. Eline Slagboom
    • , Erik W. van Zwet
    •  & Bastiaan T. Heijmans

    Nature Communications (2018)


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.