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. 2014 Oct 21;4(10):e473. doi: 10.1038/tp.2014.107

Prenatal stress-induced programming of genome-wide promoter DNA methylation in 5-HTT-deficient mice

K G Schraut 1, S B Jakob 1, M T Weidner 1,2, A G Schmitt 3, C J Scholz 4, T Strekalova 2,5, N El Hajj 6, L M T Eijssen 7, K Domschke 3, A Reif 3, T Haaf 6, G Ortega 1, H W M Steinbusch 2, K P Lesch 1,2,*,8, D L Van den Hove 1,2,8
PMCID: PMC4350514  PMID: 25335169

Abstract

The serotonin transporter gene (5-HTT/SLC6A4)-linked polymorphic region has been suggested to have a modulatory role in mediating effects of early-life stress exposure on psychopathology rendering carriers of the low-expression short (s)-variant more vulnerable to environmental adversity in later life. The underlying molecular mechanisms of this gene-by-environment interaction are not well understood, but epigenetic regulation including differential DNA methylation has been postulated to have a critical role. Recently, we used a maternal restraint stress paradigm of prenatal stress (PS) in 5-HTT-deficient mice and showed that the effects on behavior and gene expression were particularly marked in the hippocampus of female 5-Htt+/− offspring. Here, we examined to which extent these effects are mediated by differential methylation of DNA. For this purpose, we performed a genome-wide hippocampal DNA methylation screening using methylated-DNA immunoprecipitation (MeDIP) on Affymetrix GeneChip Mouse Promoter 1.0 R arrays. Using hippocampal DNA from the same mice as assessed before enabled us to correlate gene-specific DNA methylation, mRNA expression and behavior. We found that 5-Htt genotype, PS and their interaction differentially affected the DNA methylation signature of numerous genes, a subset of which showed overlap with the expression profiles of the corresponding transcripts. For example, a differentially methylated region in the gene encoding myelin basic protein (Mbp) was associated with its expression in a 5-Htt-, PS- and 5-Htt × PS-dependent manner. Subsequent fine-mapping of this Mbp locus linked the methylation status of two specific CpG sites to Mbp expression and anxiety-related behavior. In conclusion, hippocampal DNA methylation patterns and expression profiles of female prenatally stressed 5-Htt+/− mice suggest that distinct molecular mechanisms, some of which are promoter methylation-dependent, contribute to the behavioral effects of the 5-Htt genotype, PS exposure and their interaction.

Introduction

Prenatal stress (PS) exposure has been shown to affect fetal brain development and to increase the risk for later-life psychopathology.1 Furthermore, the serotonin transporter gene (5-HTT/SLC6A4)-linked polymorphic region (5-HTTLPR) is assumed to modulate the interaction between developmental stress exposure and emotional dysregulation later in life in both nonhuman primates and humans.2,3 The exact molecular mechanisms underlying this gene-by-environment (G × E) interaction, however, remain to be elucidated.

Recently, using a maternal restraint stress paradigm of PS in wild-type (WT, +/+) and heterozygous (+/−) 5-Htt deficient mice, we have shown that the long-term behavioral effects of PS are partly dependent on the 5-Htt genotype.4 Although mice carrying the 5-Htt+/− genotype showed well-defined adaptive capacity, for example, in terms of cognitive performance, this advantage came at the expense of an increased vulnerability to PS exposure especially in female offspring. Moreover, gene expression profiles of the hippocampus indicated that distinct molecular mechanisms were associated with effects of 5-Htt+/− genotype, PS exposure and their interaction. More specifically, mitogen-activated protein kinase and neurotrophin signaling were regulated by both the 5-Htt+/− genotype and PS exposure, whereas cytokine and wingless-type MMTV integration site family (Wnt) signaling were affected in a 5-Htt genotype × PS manner, indicating a G × E interaction at the molecular level.

Epigenetic processes such as DNA methylation and histone modifications translate external stimuli into changes of gene expression and, as such, have a pivotal role in the interaction of genetic and environmental factors in determining an individual's phenotype. Thus, epigenetic programming during development may contribute to the etiology and influence the course of neuropsychiatric disorders.5 Recent work in rodents has shown that epigenetic mechanisms regulate various signaling pathways previously implicated in anxiety- and depression-like behavior.6,7 In light of these findings, the present study aimed to examine the role of DNA methylation in mediating differential gene expression observed in the 5-Htt × PS paradigm. Genome-wide promoter methylation was assessed using methylated-DNA immunoprecipitation (MeDIP) followed by high-resolution DNA promoter array analysis (MeDIP-on-Chip). Resulting DNA methylation signatures were subsequently linked to gene expression profiles and behavioral observations.

Materials and methods

Experimental animals

Hippocampal tissue derived from female C57BL6/J mice of four groups of mice4 were used, that is, 5-Htt+/− mice (B6.129[Cg]-Slc6a4tm1Kpl/J) exposed to PS (5-Htt+/− PS) or left undisturbed during pregnancy (5-Htt+/− C) and the corresponding 5-Htt+/+ groups (that is, 5-Htt+/+ PS and 5-Htt+/+ C, respectively). Around P95, following behavioral analysis and 1 week after measuring stress-induced plasma corticosterone secretion,4 the mice were killed. Brains were removed, immediately placed on dry ice and stored at −80 °C for future experiments. No more than two female pups per litter were used to prevent litter effects.8 All experiments were approved by the Animals Ethics Board of Maastricht University (Permit number: OE 2007-109) and all efforts were made to minimize suffering. Animal group sizes for pyrosequencing and quantitative PCR with reverse transcription (RT-qPCR) were: 5-Htt+/+ C=7, 5-Htt+/+ PS=9, 5-Htt+/− C=10, 5-Htt+/− PS=10. For the DNA methylation promoter array, the same group sizes apply, except for 5-Htt+/+ PS=6.

DNA methylation analysis

DNA methylation was assessed by MeDIP (Diagenode, Liège, Belgium) using an antibody against 5-methylcytosine followed by GeneChip Mouse Promoter 1.0 R tiling array (Affymetrix, Santa Clara, CA, USA) using the right part of the hippocampus (see Supplementary Methods for more details). The MeDIP array data were subjected to within-sample pairwise LOESS normalization and calculation of MeDIP-input signal log2 ratios. Between-sample quantile normalization was applied to the signal log2 ratios, followed by a 300 bp sliding-window median smoothing. Autosomal regions enriched by the MeDIP procedure were detected by the CMARRT algorithm.9 With the present (=1) and absent (=0) calls for MeDIP enrichment, effect directions were determined as previously described.4 Briefly, genotype (G) effect directions (d) were calculated by

Gd=((5-Htt+/− C+5-Htt+/− PS)−(5-Htt+/+ C+5-Htt+/+ PS)) × 0.5,

environment (E) effect directions by

Ed=((5-Htt+/+ PS+5-Htt+/− PS)−(5-Htt+/+ C+5-Htt+/− C)) × 0.5

and interaction (G × E) effect directions by

G × Ed=((5-Htt+/− PS−5-Htt+/− C)−(5-Htt+/+ PS−5-Htt+/+ C)) × 0.5.

For a detailed description of the bioinformatics, see Supplementary Methods. No ‘cutoff' value for the fold change was applied. For optimizing discrimination of differentially methylated regions (DMRs) associated with the same gene, a unique DMR identification number was assigned to each DMR. Sometimes, more than one gene was annotated to one DMR. The validity of the methylation data obtained from the promoter array was tested by pyrosequencing and MeDIP quantitative real-time PCR (MeDIP-qPCR). For more details on procedures and methods, as well as PCR and sequencing primers used, see Supplementary Material. Microarray data has been deposited in MIAME-compliant form in Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) with the accession number GSE51634.

Overlap of DNA methylation with gene expression

In addition to focusing solely on differential DNA methylation, DMRs were also assessed in the context of gene expression changes, as investigated previously in the same mice using GeneChip Mouse Genome 430 2.0 Arrays (Affymetrix).4 For this purpose, we identified genes that both displayed a modified DNA methylation signature and were differentially expressed in our 5-Htt × PS paradigm. Since their expression data were not available, miRNA were not included in the analyses. Gene expression microarray results were validated and analyzed with regard to specific splice variants using RT-qPCR (for details and primer sequences, see Supplementary Methods and Material).4

Results

Genome-wide DNA methylation

The MeDIP promoter array analysis revealed that the methylation status of two to four hundred genomic regions was significantly modified by either the 5-Htt+/− genotype (G), PS exposure (E) or their interaction (G × E) (Figure 1; Supplementary Tables S1–S3 for a complete overview of all genes significantly affected by G, E and G × E, respectively). More specifically, 235 DMRs, involving 254 genes, were differentially methylated in 5-Htt+/− when compared with 5-Htt+/+ mice, with 40.9% of the DMRs showing a decreased and 59.1% displaying an increased degree of methylation in 5-Htt+/− mice (Figure 1a). Furthermore, 323 DMRs corresponding to 347 genes were affected by PS exposure. As depicted in Figure 1b, 81.7% DMRs showed an increase in methylation in PS mice compared with controls, whereas in merely 18.3% DMRs methylation was decreased. Finally, the DNA methylation status of 218 genomic regions involving 245 genes was affected by a 5-Htt × PS interaction. Supplementary Table 2 depicts enriched annotation term clusters determined by Functional Annotation Clustering using DAVID10 (enrichment score >1.3) for DMRs. Two clusters have been found enriched due to genotype, that is, ribosome-associated terms and ion-binding terms. For DMRs affected by PS, five clusters were identified, for example, WD repeat terms containing PAK1 interacting protein 1 (Pak1ip1) and striatin, calmodulin binding protein 3 (Strn3, also known as Sg2na). Another five clusters were enriched due to an interaction of genotype and PS, among them two clusters with cytoskeleton terms and one with EGF-associated terms. The latter comprised genes such as Notch3 and FAT tumor suppressor homolog 1 (Drosophila, Fat1) encoding a gene of the cadherin superfamily.

Figure 1.

Figure 1

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(a) Venn diagram illustrating the number of genes of which the DNA methylation status was altered by genotype (G, 5-Htt+/− versus 5-Htt+/+), the environment (E; that is, prenatal stressed (PS) versus control animals) or in an interactive manner (G × E, indicating those genes of which the effect of the environment depends on the genotype) in the hippocampus of female mice. DNA methylation analysis was performed by applying hippocampal MeDIP DNA on Affymetrix Mouse Promoter 1.0R arrays. (b) Venn diagram showing the number of differentially (diff.) methylated regions (DMRs) regulated by G or E and the corresponding direction in which the 5-Htt+/− genotype and PS regulated the corresponding DMRs. The direction of the change in methylation does not necessarily implicate a change of the gene's expression to the opposite direction (see Discussion for further details). MeDIP, methylated-DNA immunoprecipitation.

Differential DNA methylation associated with gene expression changes

Next, we examined to which extent these differentially methylated genes also displayed changes in their expression. We compared DMR data with the hippocampal gene expression profiles from the same mice as previously reported.4 Table 1a lists the 25 genes that were both differentially methylated and expressed (P<0.05) in 5-Htt+/− compared with 5-Htt+/+ offspring. These 25 genes corresponded to 26 DMRs, half of which showed downregulation and the other half upregulation of methylation. Among the differentially methylated/expressed genes were E2F transcription factor 3 (E2f3), kinesin family member 13 A (Kif13a), low density lipoprotein receptor class A domain containing 3 (Ldlrad3), fibroblast growth factor receptor 4 (Fgfr4) and bone morphogenic protein receptor 1b (Bmpr1b).

Table 1. Differentially methylated and expressed genes.

Symbol Gene name Methylation
 Expression
    Chr Start End FC in/de FC Change Affy ID
A) Genotype (G)
Bbx Bobby sox homolog (Drosophila) 16 50435836 50436363 1.58 ↑ 1.26 ↑ 1430820_a_at
Ldlrad3 Low density lipoprotein receptor class A domain containing 3 2 102029692 102029893 1.28 ↑ 1.12 ↓ 1438666_at
Bcl2l11 // Acoxl BCL2-like 11 (apoptosis facilitator) // acyl-Coenzyme A oxidase-like 2 127946767 127947010 1.26 ↑ 1.11 ↓ 1456005_a_at
Bcl2l11 // Acoxl BCL2-like 11 (apoptosis facilitator) // acyl-Coenzyme A oxidase-like 2 127946767 127947010 1.26 ↑ 1.35 ↑ 1456006_at
Kif13a Kinesin family member 13A 13 47028519 47029667 1.23 ↓ 1.12 ↓ 1451890_at
Spsb1 splA/ryaNodine receptor domain and SOCS box containing 1 4 149331144 149332126 1.23 ↑ 1.19 ↓ 1428472_at
Fank1 // Dhx32 Fibronectin type 3 and ankyrin repeat domains 1 // DEAH(Asp-Glu-Ala-His) box polypeptide 32 7 140975216 140978199 1.19 ↓ 1.17 ↓ 1447495_at
Dhx32 // Fank DEAH (Asp-Glu-Ala-His) box polypeptide 32 // fibronectin type 3 and ankyrin repeat domains 1 7 140975216 140978199 1.19 ↓ 1.19 ↓ 1420427_a_at
Fgfr4 Fibroblast growth factor receptor 4 13 55249814 55250054 1.17 ↑ 1.15 ↓ 1427845_at
Fgfr4 Fibroblast growth factor receptor 4 13 55249814 55250054 1.17 ↑ 1.26 ↓ 1427776_a_at
E2f3 E2F transcription factor 3 13 30080878 30081078 1.17 ↓ 1.14 ↑ 1427462_at
Ttn Titin 2 76823368 76823897 1.17 ↓ 1.21 ↑ 1427446_s_at
Nr5a1 Nuclear receptor subfamily 5, group A, member 1 2 38568797 38569145 1.15 ↓ 1.17 ↓ 1421730_at
BC030307 cDNA sequence BC030307 10 86175833 86176109 1.14 ↑ 1.15 ↑ 1441409_at
Bmpr1b Bone morphogenetic protein receptor, type 1B 3 141593558 141593900 1.14 ↑ 1.19 ↓ 1422872_at
C030046E11Rik RIKEN cDNA C030046E11 gene 19 29654132 29654407 1.14 ↓ 1.14 ↑ 1431023_at
Cybrd1 Cytochrome b reductase 1 2 70957388 70957814 1.12 ↓ 1.13 ↑ 1425040_at
Fabp6 Fatty acid binding protein 6, ileal (gastrotropin) 11 43418691 43419752 1.10 ↑ 1.27 ↓ 1450682_at
Akap6 // n-R5s58 A kinase (PRKA) anchor protein 6 // nuclearencoded rRNA 5S 58 12 53980545 53980725 1.09 ↓ 1.14 ↑ 1440859_at
Krt23 Keratin 23 11 99352405 99352894 1.07 ↓ 1.21 ↓ 1418213_at
Nr5a1 Nuclear receptor subfamily 5, group A, member 1 2 38569234 38569481 1.07 ↓ 1.17 ↓ 1421730_at
Lgr5 Leucine rich repeat containing G protein coupled receptor 5 10 115028742 115029312 1.05 ↑ 1.13 ↑ 1444519_at
Mttp Microsomal triglyceride transfer protein 3 137796736 137797014 1.04 ↑ 1.25 ↑ 1419399_at
Tmem100 Transmembrane protein 100 11 89896819 89897137 1.03 ↓ 1.22 ↑ 1446625_at
Pdlim4 PDZ and LIM domain 4 11 53883752 53883994 1.02 ↑ 1.21 ↓ 1417928_at
Pla2g5 // Pla2g2a Phospholipase A2, group V // phospholipase A2, group IIA (platelets, synovial fluid) 4 138390529 138390886 1.02 ↑ 1.59 ↓ 1417814_at
Kcnj5 Potassium inwardly-rectifying channel, subfamily J, member 5 9 32130003 32130278 1.01 ↑ 1.18 ↑ 1421762_at
0610040J01Rik RIKEN cDNA 0610040J01 gene 5 64268747 64268986 1.01 ↓ 1.12 ↓ 1424404_at
                   
B) Environment (E)
Ddx46 Dead (Asp-Glu-Ala-Asp) box polypeptide 46 13 55749228 55749440 1.33 ↑ 1.16 ↓ 1424569_at
Kcnh3 Potassium voltage-gated channel, subfamily H (eag-related), member 3 15 99050982 99051487 1.31 ↑ 1.11 ↓ 1459107_at
Tlr12 Toll-like receptor 12 4 128291909 128292687 1.31 ↑ 1.10 ↓ 1437931_at
Ropn1l // Gm6361 Ropporin 1-like // predictedgene 6361 15 31378527 31378689 1.26 ↑ 1.15 ↓ 1423959_at
Tmtc1 Transmembrane and tetratricopeptide repeat containing 2 // Smallnucleolar RNA SNORA17 10 104626225 104626657 1.25 ↓ 1.14 ↑ 1441033_at
Fjx1 Four jointed box 1 (Drosophila 2 102295770 102296667 1.23 ↑ 1.20 ↓ 1450728_at
Fjx1 Four jointed box 1 (Drosophila) 2 102295770 102296667 1.23 ↑ 1.17 ↓ 1422733_at
Cdc73 Cell division cycle 73, Paf1/RNA polymerase II complex component, homolog (S. cerevisiae) 1 144990530 144990925 1.23 ↓ 1.15 ↑ 1427972_at
Sox6 SRY-box containing gene 6 7 123171580 123171989 1.23 ↓ 1.14 ↑ 1427677_a_at
Bcl10 // Ddah1 B cell leukemia/lymphoma 10 // dimethylarginine dimethylamiNohydrolase 1 3 145538088 145538612 1.21 ↓ 1.18 ↑ 1443524_x_at
Mettl7a1 Methyltransferase like 7A1 15 100131133 100131965 1.21 ↑ 1.16 ↑ 1434151_at
Mettl7a1 Methyltransferase like 7A1 15 100131133 100131965 1.21 ↑ 1.13 ↑ 1454858_x_at
Prkab1 // Cit Protein kinase, AMP-activated, beta 1 Non-catalytic subunit // citron 5 116457782 116458147 1.20 ↑ 1.13 ↓ 1424119_at
BC051628 // BC006779 cDNA sequence BC051628 // cDNA sequence BC006779 2 180964456 180964941 1.19 ↓ 1.11 ↑ 1431758_at
Pnlip Pancreatic lipase 19 58744425 58744760 1.17 ↑ 1.25 ↑ 1433431_at
Zfp64 Zinc finger protein 64 2 168808365 168808848 1.16 ↑ 1.21 ↑ 1456431_at
Zfp64 Zinc finger protein 64 2 168808365 168808848 1.16 ↑ 1.12 ↓ 1451696_at
Xpot Exportin, tRNA (nuclear export receptor for tRNAs) 10 121044448 121044882 1.16 ↑ 1.13 ↑ 1441681_at
Nr2c1 // Ndufa12 Nuclear receptor subfamily 2, group C, member 1 // NADHdehydrogenase (ubiquinone) 1 alpha subcomplex, 12 10 93657585 93657974 1.14 ↑ 1.19 ↓ 1449157_at
Mast4 // Cd179 Microtubule-associated serine/threonine kinase family member 4 // CD180antigen 13 103564348 103564628 1.14 ↓ 1.14 ↑ 1459387_at
Clstn2 Calsyntenin 2 9 97936180 97936420 1.12 ↑ 1.19 ↓ 1422158_at
Cldn18 Claudin 18 9 99617339 99617897 1.12 ↑ 1.19 ↑ 1425445_a_at
Map3k1 Mitogen-activated protein kinase kinase kinase 1 13 112601065 112601546 1.12 ↑ 1.24 ↑ 1443540_at
Akap13 A kinase (PRKA) anchor protein 13 7 82870878 82871179 1.11 ↑ 1.10 ↓ 1433722_at
Kdm6b // Dnahc2 KDM1 lysine (K)-specific demethylase 6B // dynein, axonemal, heavy chain 2 11 69290421 69290898 1.11 ↑ 1.26 ↑ 1440346_at
Kdm6b // Dnahc2 KDM1 lysine (K)-specific demethylase 6B // dynein, axonemal, heavy chain 2 11 69290421 69290898 1.11 ↑ 1.14 ↑ 1456610_at
Kat2a // Dhx58 K(lysine) acetyltransferase 2A //DEXH(Asp-Glu-X-His) box polypeptide 58 11 100566819 100567318 1.10 ↑ 1.15 ↓ 1422972_s_at
Prok2 Prokineticin 2 6 99674161 99674602 1.10 ↑ 1.15 ↑ 1451952_at
Ptpn21 Protein tyrosine phosphatase, Non-receptor type 21 12 99923550 99923778 1.09 ↑ 1.15 ↑ 1419055_a_at
Rad9b RAD9 homolog B (S. cerevisiae) 5 122803144 122803311 1.09 ↑ 1.18 ↓ 1425800_at
Mcm3 Minichromosome maintenance deficient 3 (S. cerevisiae) 1 20807895 20808068 1.09 ↑ 1.17 ↑ 1420029_at
Msi1 Musashi homolog 1(Drosophila) 5 115873837 115874905 1.08 ↑ 1.24 ↑ 1444306_at
Stt3b STT3, subunit of the oligosaccharyltransferase complex, homolog B (S. cerevisiae) 9 115162948 115163232 1.08 ↑ 1.22 ↑ 1431541_at
Dna2 // Slc25a16 DNA replication helicase 2 homolog (yeast) // solute carrier family 25 (mitochondrial carrier, Graves disease autoantigen), member 16 10 62407000 62407211 1.08 ↑ 1.25 ↑ 1457909_at
Slc30a1 // 1700034H15Rik Solute carrier family 30 (zinc transporter), member 1 // RIKEN cDNA 1700034H15 gene 1 193732789 193733167 1.08 ↑ 1.15 ↓ 1436164_at
Nos1 Nitric oxide synthase 1, neuronal 5 118312626 118312968 1.07 ↑ 1.20 ↓ 1438483_at
Prss23 // 1700019G06Rik Protease, serine, 23 // RIKEN cDNA 1700019G06 gene 7 96658688 96659035 1.07 ↓ 1.17 ↓ 1446560_at
Chaf1b // Morc3 Chromatin assembly factor 1, subunit B (p60) // microrchidia 3 16 93865780 93866055 1.07 ↑ 1.24 ↑ 1431275_at
Gja1 Gap junction protein, alpha 1 10 56216896 56217111 1.04 ↑ 1.42 ↓ 1415801_at
                   
 
C) G × E
2010001K21Rik RIKEN cDNA 2010001K21 gene 13 47102005 47102256 — — — — 1447576_at
5430421N21Rik RIKEN cDNA 5430421N21 gene 15 101325243 101325528 — — — — 1427118_at
Ank3 Ankyrin 3, epithelial 10 68991227 68992000 — — — — 1447259_at
Atp10b ATPase, class V, type 10B 11 42964973 42965240 — — — — 1444911_at
Cabin1 Calcineurin binding protein 1 10 75229253 75229611 — — — — 1437794_at
Cage1 Cancer antigen 1 13 38127687 38128016 — — — — 1434810_a_at
Chrna9 Cholinergic receptor, nicotinic, alpha polypeptide 9 5 66361850 66362047 — — — — 1447214_at
Chrna9 Cholinergic receptor, nicotinic, alpha polypeptide 9 5 66362494 66362774 — — — — 1447214_at
Clpb // Phox2a ClpB caseinolytic peptidase B homolog (E. coli) // paired-likehomeobox 2a 7 108938653 108939395 — — — — 1454168_a_at
Dppa3 Developmental pluripotency-associated 3 6 122594236 122594653 — — — — 1424295_at
F10 // Proz Coagulation factor X // proteinZ, vitamin K-dependent plasma glycoprotein 8 13055218 13055381 — — — — 1449305_at
Fam135a // 1110058L19Rik Family with sequence similarity 135, member A // RIKEN cDNA 1110058L19 gene 1 24034551 24034832 — — — — 1453122_at
Fam170a Family with sequence similarity 170, member A 18 50438458 50438693 — — — — 1456560_at
Foxj1 // Rnf157 Forkhead box J1 // ring finger protein 157 11 116218086 116218410 — — — — 1425291_at
Glra1 Glycine receptor, alpha 1 subunit 11 55418779 55418960 — — — — 1422277_at
Heatr1 // Lgals8 Heat repeat containing 1 // lectin,galactose binding, soluble 8 13 12520880 12521218 — — — — 1452419_at
Mbp // Rpl21-ps8 Myelin basic protein // ribosomalprotein L21, pseudogene 8 18 82693616 82694069 — — — — 1451961_a_at
Parp14 Poly (ADP-ribose) polymerase family, member 14 16 35858088 35858439 — — — — 1451564_at
Pim1 Proviral integration site 1 17 29656335 29656796 — — — — 1423006_at
Pla2g5 // Pla2g2a Phospholipase A2, group V // phospholipase A2, group IIA (platelets, synovial fluid) 4 138382101 138382425 — — — — 1417814_at
Psd3 Pleckstrin and Sec7 domain containing 3 8 70220885 70221160 — — — — 1418749_at
Tcof1 Treacher Collins Franceschetti syndrome 1, homolog 18 61013037 61013345 — — — — 1423600_a_at
Uevld UEV and lactate/malate dehyrogenase domains 7 54224905 54225077 — — — — 1421785_at
Wdr66 WD repeat domain 66 5 123745990 123746262 — — — — 1447215_at
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Abbreviations: FC, fold change; in/de, increased or decreased expression.

Genes of which both DNA methylation status and gene expression level were significantly altered by genotype (G; that is, 5-Htt+/− versus 5-Htt+/+), the environment (E; that is, prenatal stressed versus control mice) or in an interactive manner (G × E; that is, indicating those genes of which the effect of the environment depends upon the genotype) in the hippocampus of female mice. DNA methylation analysis was performed by applying hippocampal DNA enriched by methylated-DNA immunoprecipitation (MeDIP) on Affymetrix (Affy) Mouse Promoter 1.0R arrays. Gene expression data as described in van den Hove et al.4

Among the 35 genes of which DNA methylation and expression were differentially affected by PS (Table 1b), the majority, that is, 28 genes, showed decreased methylation. Among those differentially methylated and expressed genes were the histone acetyltransferase K[lysine] acetyltransferase 2 A (Kat2a), nitric oxide synthase 1 (Nos1), calsyntenin 2 (Clstn2), Musashi homolog 1 (Msi1) and four jointed box 1 (Fjx1). We furthermore detected a DMR about 10 kb upstream of Mir124-2.

Moreover, we found 23 differentially methylated/expressed genes that were affected in a 5-Htt × PS fashion (Table 1c). Among them were ankyrin 3, epithelial (Ank3), calcineurin binding protein 1 (Cabin1), myelin basic protein (Mbp), phospholipase A2, group V (Pla2g5) and the guanine nucleotide exchange factor pleckstrin and Sec7 domain containing 3 (Psd3).

Of note, 60% and 63% of the differentially methylated/expressed genes that were affected by a G and E effect, respectively, followed the canonical anticorrelation of promoter methylation and gene expression, that is, increased promoter methylation and decreased gene expression or vice versa. The remaining differentially methylated/expressed genes showed an ‘atypical' pattern.

Methylation of an intronic sequence in the Mbp gene

Mbp, which was both differentially methylated and expressed in a G × E interaction dependent manner, was first validated in terms of methylation, using MeDIP-qPCR. As presented in Table 1c, Mbp methylation, as assessed by MeDIP-chip, was decreased in 5-Htt+/+ mice exposed to PS compared with 5-Htt+/+ controls, whereas almost no PS-dependent change in methylation was observed in 5-Htt+/− mice. RT-qPCR with the same MeDIP DNA as used for the promoter array detected high enrichment of methylated DNA (meDNA) at the described locus (Figure 2a) and a similar methylation pattern as obtained from the array, that is, slight decrease in methylation in 5-Htt+/+ animals and an increase in methylation in 5-Htt+/− animal after PS. Moreover, we found an increase in meDNA-enrichment in 5-Htt+/− animals compared with 5-Htt+/+ (Kruskal–Wallis P=0.046, Mann–Whitney P=0.004). As a negative control, we analyzed part of the 5′-flanking region of Mir137 that did not harbor a DMR in our analysis (data not shown) and confirmed that there were no changes in methylation at this gene locus. We then assessed whether the observed signal was based on a methylation change covering the whole genomic region, or whether it originated from one or more specific CpG sites. For this purpose, we analyzed DNA methylation of 13 CpG sites in the Mbp DMR using pyrosequencing on bisulfite-treated DNA. Supplementary Figure 1 shows the percentage of unconverted cytosines, representing methylated cytosines, at CpG sites 1 through 13. As indicated by MeDIP RT-qPCR, pyrosequencing showed a high degree of methylation, that is, 70–90%. The pyrosequencing results revealed that CpG sites 12 and 13 showed a modest but significant increase in methylation in 5-Htt+/- mice when compared with 5-Htt+/+ animals (two-way analysis of variance (ANOVA) P=0.031 and P=0.019, respectively, Figure 2b). Interestingly, the methylation pattern at CpG site 12 matched the observed methylation pattern of the array and, in addition, showed a trend toward a 5-Htt × PS interaction effect (two-way ANOVA P=0.066). Moreover, there was a significant negative correlation of methylation status at CpG site 12 and 13 with Mbp expression (Spearman correlation, r=−0.412, P=0.012 and r=−0426, P=0.010, respectively). Noteworthy, the methylation status at CpG site 12 further correlated with the time spent in the open arms of and distance moved in the elevated zero maze (EZM; Spearman correlation, r=0.396, P=0.020 and r=0.345, P=0.046, respectively). Similar effects were observed when correlating individual Mbp expression levels obtained by RT-qPCR with time spent in the open arms of and distance moved in the EZM (Spearman correlation, r=−0.452, P=0.007 and r=−0.358, P=0.037, respectively).

Figure 2.

Figure 2

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(a) Enrichment of methylated DNA at the Mbp locus (chr18:82 694 078–82 694 196) in the hippocampus of female 5-Htt+/− or 5-Htt+/+ mice exposed to PS or not (controls, C). Enrichment obtained by RT-qPCR using MeDIP and input DNA. §P=0.047 Kruskal–Wallis, &P=0.004 Mann–Whitney test when comparing all 5-Htt+/− with all 5-Htt+/+ mice (G effect). (b) Mbp methylation rate obtained by pyrosequencing of bisulfite-treated DNA at the Mbp locus (chr18: 82 693,582–82,694,175) in the same animals. Bars representing means, error bars representing s.e.m. *P<0.05 G effect, #P=0.066 trend of a G × E effect, two-way analysis of variance. E, environment; G, genotype; PS, prenatal stress; RT-qPCR, quantitative real-time PCR.

Moreover, since different splice variants of Mbp have different functions, we proceeded to elucidate which exact Mbp splice variants were differentially expressed. In our previous work,4 we found a G, E and G × E effect on total Mbp expression. As Supplementary Figure 1 illustrates, the Golli/Mbp gene locus harbors a variety of splice variants. The primers were located in the 3′ UTR of most of the Mbp transcripts, thus the signal could not be attributed to a specific splice form. By using primer pairs either recognizing exon I and exon III (Mbp without exII) or exon II and exon III (Mbp with exII) of Mbp for RT-qPCR, we found a G × E interaction and a PS effect for Mbp lacking exII (two-way ANOVA, P=0.017 and P=0.021, Supplementary Figure 2) and an increase in expression of Mbp transcripts containing exon II in PS mice (Mann–Whitney U P=0.009). We furthermore found that the expression of two Golli transcripts was changed in a G × E manner (two-way ANOVA P=0.017, data not shown). When looking at other myelin protein encoding genes, they all showed the same expression pattern as Mbp. As depicted in Supplementary Figure 2, we found a G × E interaction and a G effect for myelin oligodendrocyte glycoprotein (Mog; two-way ANOVA, P=0.035 and P=0.049). Expression of myelin-associated glycoprotein (Mag) showed a trend for an increase in 5-Htt+/+ mice exposed to PS (Kruskal–Wallis P=0.027, Mann–Whitney P=0.081), but not in 5-Htt+/−, hinting toward a G × E interaction. Moreover, the expression of Mbp w/o exII, Mag, Mog and Sox10 was highly correlated with each other within the hippocampus (Spearman correlation, 0.673<r<0.952, P<0.0001, Bonferroni-corrected). The expression changes of proteolipid protein (myelin) 1 (Plp1) did not reach statistical significance, although clearly displaying the same expression pattern. We furthermore found a PS effect on Sox10 expression (two-way ANOVA, P=0.011). A Modulated Modularity Clustering11 analysis using our array expression data of myelin-associated genes revealed several clusters of correlating myelin-associated genes (Supplementary Figure 3 and Supplementary Table 4). The first large cluster, module 5, comprises 15 myelin-associated genes, among them Mbp, Mobp, Mag, Tspan2, Pten, Mal, Ugt8a and Plp1 that correlate highly in expression (r=0.73).

Discussion

In the present study, a genome-wide DNA methylation screening was performed in offspring of 5-HTT-deficient mice subjected to PS. 5-Htt genotype, PS and their interaction differentially affected the DNA methylation signature of more than 800 genes to which the expression of a subset of these genes was related in a genotype-, PS- or G × E-specific manner.

We had previously reported various behavioral alterations using the same maternal restraint stress paradigm of PS in 5-Htt+/− mice (overview summarized in Supplementary Table 3).4 Exposure of 5-Htt+/− mice to PS was associated with increased depression-like behavior in the forced-swim test, an effect that was particularly pronounced in female offspring. Similar preliminary results were obtained by Markova et al.12 in the modified forced-swim test. On the other hand, control 5-Htt+/− showed relatively lower levels of depression-like behavior, hence, a 5-HTT deficit may also be beneficial when facing an acute challenge in adulthood. This indicates a complex interaction of variation in 5-Htt genotype and early-life environment in different sexes where a deficit in 5-HTT is not necessarily a disadvantage.13 We furthermore found that the 5-Htt genotype, PS and their interaction differentially affected the expression of numerous genes and related pathways in the hippocampus of female mice. In the present study, we analyzed hippocampal genome-wide promoter DNA methylation signatures in the same mice by applying MeDIP DNA to a genome-wide promoter tiling array. Several hundred DMRs that were influenced by 5-Htt genotype, PS or their interaction were identified. Functional Annotation Clustering using DAVID revealed enrichment of ribosome-associated annotations and ion-binding terms due to genotype and enrichment of WD repeat and SH3 domain terms due to PS. The latter term comprises Pak1ip1, which is involved in the p53-dependent regulation of cell growth and proliferation in response to stressors,14 and Strn3, a gene encoding a Ca2+-calmodulin binding protein mainly expressed in the brain, cerebellum, muscle and lung.15 In the hippocampus, it is expressed in pyramidal and granular cells.15 Pacsin2 is a member of the protein kinase C and casein kinase substrate-in-neurons family and involved in linking the actin cytoskeleton with vesicle formation by regulating tubulin polymerization. Terms enriched for a G × E effect comprised two clusters of cytoskeleton-associated terms and one EGF-associated cluster. The EGF cluster contained Notch3, a gene expressed in the ventricular zones and suggested to have a role in CNS development.16 Of note, in zebrafish, Notch3 was found to be essential for oligodendrocyte development and a Notch3 mutation led to a decrease in oligodendrocyte numbers accompanied by decreased Mbp expression.17 Fat1, a gene encoding a protein of the cadherin family that is highly expressed in the proliferating ventricular zones during prenatal mouse development.18 Variation in FAT1 has been associated with bipolar disorder.19,20

In addition, the DMR-linked genes showed partial overlap with differential gene expression profiles. For example, considering differentially expressed genes, we found increased methylation in response to PS for Clstn2 and Kat2a, whereas methylation levels of Ank3, Cabin1, Mbp, Pla2g5 and Psd3 were influenced in a G × E manner.

We found an increase in methylation in ~60% and a decrease in ~40% of the DMRs when comparing 5-Htt+/− to 5-Htt+/+ mice. Generally, human s-allele carriers as well as 5-Htt-deficient mice are more sensitive to early-life programming under the influence of (both adverse and positive) environmental changes.13 Although mostly speculative, considering the important role of 5-HT during brain development, altered central levels of 5-HT during early life may affect the extent to which environmental variation is perceived by and translated or epigenetically programmed into long-term changes in brain function and associated behavioral phenotypes. Notably, ~80% of the DMRs showed an increase in methylation when comparing PS with C offspring, whereas only 20% showed a decrease in methylation. This effect might be the consequence of a temporary increase in DNA methyl-transferase activity in PS mice during development. Although this notion awaits further exploration, Mychasiuk et al.21,22 found an increase in global DNA methylation in the hippocampus of young female rat offspring in a mild PS as well as in a bystander PS paradigm, in which the cage mate of the pregnant dam is stressed and not the dam directly.

Mbp emerged from our previous study4 as a gene of interest that was regulated at the mRNA expression level by 5-Htt genotype, PS and the interaction of both. In the present study, the tiling array revealed a DMR at the Mbp locus that was modified by a 5-Htt × PS interaction. Subsequent pyrosequencing indicated differential effects on methylation of the 5-Htt genotype at two out of 13 analyzed CpG sites and a tendency for a G × E interaction effect at CpG site 12. Moreover, methylation at CpG site 12 and 13 correlated negatively with Mbp expression and anxiety-like behavior in the EZM, suggesting functional methylation of Mbp. Noteworthy, similar to our Mbp mRNA expression, findings assessed by RT-qPCR (see van den Hove et al.4 for more details), Föcking et al.23 found an increase in hippocampal MBP protein levels in adult 5-Htt+/+ mice after exposure to the exact same PS paradigm. The Golli-Mbp locus comprises three transcription start sites, which result in two different forms of transcripts, the ‘classical' Mbp transcripts and the later discovered Golli-Mbp transcripts that contain additional exons at the 5′ end. The MBP protein family is expressed in oligodendrocytes and Schwann cells, whereas the Golli-specific proteins are expressed in myelin-producing and neuronal cells.24, 25, 26 Expression at the Golli-Mbp locus is subject to complex developmental regulation, involving various splice variants and subsequent posttranslational modifications resulting in MBP proteins ranging from 14 to 21.5 kD in size.27 The 18.5 kD classic MBP that is essential for CNS myelin formation is the main structural component of myelin in the mature brain. It is forming the major dense line of myelin and functions as a ‘molecular sieve' by preventing proteins of the paranodal loops to diffuse into compact myelin.27, 28, 29, 30 The shiverer mouse model, which is characterized by early-onset generalized tremors and seizures—both becoming more prominent with aging—as well as a shortened lifespan, has sparse and relatively unstructured brain myelin due to a deletion in Mbp.31,32 MBPs are intrinsically disordered proteins33,34 and due to their structural flexibility they have also been implicated in other functions, for example, as regulators of the cytoskeleton35, 36, 37 and voltage-gated Ca2+ channels.38, 39, 40, 41 Intrinsically disordered proteins have moreover been suggested to function as interaction hubs, which might also be a possible function of MBP, taking into account its cellular abundance.27,42, 43, 44 We detected an increase in both Mbp transcripts lacking and containing exon II in PS mice when compared with C mice. Of note, exon II encodes a nuclear-trafficking signal. The nuclear-localized 21.5 kD MBP, which arises from a Mbp transcript containing exon II, is important for early myelinisation and has also been suggested to contribute to the differentiation of oligodendrocytes. Smith et al.45 showed that 21.5 kD MBP facilitates neurite outgrowth and branching of neuronal cells in a coculture of N2a neuronal cells and N19-oligodendrocytes. Furthermore, Kikusui et al.46 reported that early weaning induced increased anxiety-like behavior in male-outbred IRC mice, paralleled by a decrease in two out of the four investigated MBP isoforms in brain homogenates at 5 weeks of age. These changes in MBP levels were, however, not found in Wistar rats using an early-weaning paradigm.47 Furthermore, mice deficient for Fyn, a gene encoding a protein-tyrosine kinase involved in posttranscriptional regulation of MBP, show attenuated MBP expression in the forebrain48 and were reported to show increased anxiety-like behavior when compared with 5-Htt+/+ controls.49 On the other hand, intracranial injection of apotransferrin into 3-day-old male rats led to increased deposition of abnormally composed myelin and anxiolytic behavior in the elevated plus maze in adult rats when compared with controls.50 It is assumed that myelinisation influences GABAergic transmission in the hippocampus thereby impacting anxiety-like behavior,46,50 since hippocampal GABAergic fibers are myelinated and the majority of cholinergic fibers are not.51 In line with this notion, our data show a modest but significant negative correlation between Mbp expression and anxiety-like behavior. Various studies in rodents have shown a functional role of the ventral hippocampus in innate anxiety response and particularly its regulatory function for the exploration time of the open arms of the elevated plus maze.52, 53, 54 For example, injection of the GABA a2 agonist TPA023 into the ventral hippocampus has anxiolytic effects in rats during elevated plus maze exploration.52 Moreover, MBP is being discussed as a risk gene for schizophrenic disorders and alterations in myelination and oligodendrocyte numbers were found in patients with schizophrenic disorder, major depressive disorder and bipolar disorder.55, 56, 57, 58, 59, 60, 61, 62, 63 Analysis of the Mbp sequence assessed for differential methylation using JASPAR64 revealed a putative SOX10 binding site a few base pairs upstream of CpG site 12. SOX10 is a transcription factor essential for terminal differentiation of oligodendroglia and directly impacts Mbp expression.65 Intriguingly, Mbp expression was reported to be induced by SOX10 in cooperative action with Krox20 and the chromatin remodeling enzymes SWI/SNF.66 As NG2-positive oligodendrocyte progenitor cells express the glucocorticoid receptor, as well as the glucocorticoid receptor-cofactors SRC-1 and p300, it might be possible that PS exposure affects oligodendrocyte development.67 Interestingly, Xu et al.68 found a negative effect of PS on myelination in the hippocampus of 22-day-old Sprague–Dawley rats. Furthermore, Miyata et al.69 showed that chronic water immersion and restraints stress leads to morphological alterations in oligodendrocytes of the corpus callosum. They furthermore found that dexamethasone exposure of oligodendrocytes in vitro triggers a 1.5-fold increase in MBP-positive oligodendrocyte cell diameter.

Bone morphogenetic protein receptor, type 1B (Bmpr1b) belongs to the class I BMP receptor genes, which are, while functionally redundant, involved in BMP signaling. We detected an increase in DNA methylation in the first intron of Bmpr1b and a decrease in Bmpr1b mRNA expression in 5-Htt+/− mice compared with 5-Htt+/+ controls. BMP signaling has a pivotal role in dendate gyrus (DG) development and double null mutant Bmpr1b::Bmpr1a mice have smaller DG than controls, which might reflect impaired granule cell production during DG development, and a reduced DG neuronal progenitor pool.70 Finally, these mice also showed less anxiety-like behavior in the elevated plus maze when compared with WT controls.70

Our promoter array analysis moreover revealed a PS effect on the methylation status of Calsyntenin 2 (Clstn2) and K(lysine) acetyltransferase 2A (Kat2a). More specifically, PS animals showed an increase in methylation at a DMR 5′ upstream of the Clstn2 gene when compared with C animals. Clstn2 has been identified as one of three calsyntenin genes coding for a postsynaptic protein exclusively expressed in the brain. Hintsch et al.71 found that, in the hippocampus, Clnst2 was primarily expressed in pyramidal cells of the CA2 and CA3 region, in some scattered interneurons in the pyramidal cell layer of CA1 and in the granular cell layer of the DG. However, little is known about the role of Clnst2 regarding stress exposure. Furthermore, we found an increase in methylation at a DMR (Chr. 9, 97936180 to 97936420) covering several exons and introns in a gene involved in chromatin remodeling, that is, Kat2a, as well as a decrease in expression in this gene in PS mice compared with controls. KAT2A is a histone acetyltransferase linked to transcriptional activation72 that targets K9, K14 and K18 of histone H3, as well as all four amino-terminal K residues of histone H4.73 This acetyltransferase can be recruited by several DNA binding factors such as myc,74,75 E2F76 and p5377 to induce changes in chromatin structure and activate transcription. Kat2a is critical for both normal embryonal development78 and normal brain growth, and loss of function of Kat2a results in decreased stem cell proliferation in the murine cortex.79

Remarkably, we detected both a G and G × E effect on both expression and methylation of the secretory phospholipase A2, group V (Pla2g5) gene. Proteins of the phospholipase A2 family release unesterified arachidonic acid (AA) from membrane phospholipids and are hence key enzymes in the activation of the arachidonic acid cascade.80,81 The ω-6 polyunsaturated fatty acid, arachidonic acid, and its metabolites are involved in neurotransmitter release, cerebral blood flow regulation and inflammatory processes, which also have a role in multiple sclerosis and Alzheimer's disease.82,83 Other genes that were regulated in a G × E fashion in our study comprise ankyrin 3, epithelial (Ank3, also known as Ankyrin-G), calcineurin binding protein 1 (Cabin1) and pleckstrin and Sec7 domain containing 3 (Psd3, also known as EFA6D). Ank3 encodes a protein that in the brain is localized at the nodes of Ranvier and axonal initial segments84 where it is involved in the localization of transmembrane adhesion molecules, voltage-gated sodium channels, the spectrin membrane skeleton and potassium channels.85,86 Several studies suggested ANK3 as a candidate gene for bipolar disorder.87, 88, 89 Psd3 is expressed throughout the brain, with highest expression levels found in olfactory bulb, cerebral cortex, hippocampal pyramidal cell layer and cerebellar granule cell layer.90 Psd3 encodes a guanine nucleotide exchange factor for the small GTPase ARF6,90 which regulates membrane trafficking and the actin cytoskeleton and is involved in neuronal functions including neurite formation,91,92 spine density and maintenance,93,94 endo- and exocytosis of synaptic vesicles95,96 and receptor internalization.97

While comparing DNA methylation and gene expression profiles, we noted that only a modest part of the genes for which we found a DMR were also differentially expressed and a considerable proportion of genes did not show an inverse relationship between DNA methylation and expression. This is not surprising as the relation of DNA methylation and gene expression is highly complex.98, 99, 100, 101 Genome-wide studies show that the influence of DNA methylation on gene expression is very much context dependent.98 Guo et al.,100 for example, have found only a modest correlation between CpG methylation near transcription start sites and gene expression when analyzing neural activity-induced changes in methylation in murine dentate granule neurons. Depending on CpG density, DMRs have previously been categorized in low-, intermediate- and high-CpG promoters. Methylation of intermediate-CpG promoters and high-CpG promoters was associated with inactivity of the promoter in human primary somatic and germline cells, however, only a part of the inactive high-CpG promoters were methylated at all, indicating that methylation of a HPC is not compatible with expression, but lacking methylation does not necessarily indicate promoter activity. In contrast, Weber et al.98 detected no correlation between the methylation status of low-CpG promoters and promoter activity. Furthermore, both chromatin accessibility, which is also strongly regulated by histone modifications, and the availability of transcription factors are needed for a gene to be expressed, adding another level of complexity to its regulation. In addition, technical and analytical limitations may have contributed to this observation in our study. The tiling array used in this study comprised only promoter regions and thus did not cover all possible gene-related regulatory elements that could have had an influence on gene expression, such as enhancers, silencers or remote control regions. Individual DMRs were also occasionally assigned to two flanking or embedded genes, not necessarily implicating a functional role for both genes. In most cases, expression profiles did not convey splice form-specific information thereby possibly mitigating and concealing the effects of 5-Htt genotype and PS on expression. Comparing methylation levels to gene expression was further complicated by the presence of different cell types with different gene expression and DNA methylation profiles in the hippocampal homogenates that were used in this study.

Assessing the relation of DNA methylation and gene expression is however more complex than initially anticipated. It should be noted that pyrosequencing, which was applied to determine the methylation rate of single CpG sites, is a bisulfite-treated DNA-based technique and thus cannot distinguish between 5-methyl-cytosine (DNA methylation) and 5-hydroxymethyl-cytosine (DNA hydroxymethylation). This adds another level of complexity when comparing pyrosequencing data with MeDIP data, which are based on a 5-methyl-cytosine-specific antibody. Furthermore, P-values represent nominal P-values and n-numbers for promoter array analysis reflect two to three arrays per group. These limitations prompted us to interpret the data with caution and further research is required to reveal to which extent the molecular players identified here may provide useful targets in the development of intervention strategies for stress-related disorders of emotion regulation. The analysis of a single brain region, such as the hippocampus, poses an additional constraint, as other structures, such as the amygdala and the prefrontal cortex, are also known to be involved in stress and emotion regulation. Furthermore, as the left hippocampus was used for the gene expression study and the right hippocampus for the DNA methylation analysis, we cannot exclude that left–right asymmetries might have influenced the results.102 Finally, we cannot exclude that behavioral testing might have affected hippocampal DNA methylation/gene expression.

In conclusion, our data show that the effects of PS on DNA methylation in the hippocampus of female offspring are partially dependent on the 5-Htt genotype and that various genes which displayed changes of their methylation signature were also differentially expressed. Specifically, a differentially methylated genomic region in Mbp was associated with the gene's expression in a genotype-, PS- and G × E-dependent manner. The methylation rate of two CpG sites at the Mbp locus was related to Mbp expression and anxiety-related behavior, suggesting functional DNA methylation regulation of the Mbp gene. Our findings are the basis for further research that is expected to further explore the role of developmental epigenetic programming by PS, 5-Htt and their interaction.

Acknowledgments

This work was supported by the Deutsche Forschungsgemeinschaft (DFG) Sonderforschungsbereich Transregio (SFB TRR) 58/A1 and A5 to K-PL and AGS, as well as C2 to KD, B6/Z2 to AR; and Interdisziplinäres Zentrum für Klinische Forschung (IZKF) grant Z-6 to CJS, N-221 to AR and TH and the European Community; EC: AGGRESSOTYPE FP7/No. 602805 to K-PL, TS and DLvdH. K-GS was supported by a PhD fellowship of the Graduate School of Life Sciences (GSLS), University of Würzburg. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

The authors declare no conflict of interest.

Footnotes

Supplementary Information accompanies the paper on the Translational Psychiatry website (http://www.nature.com/tp)

Supplementary Material

Supplementary Information
Click here for additional data file. (2.1MB, pdf)

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