Early moderate prenatal alcohol exposure and maternal diet impact offspring DNA methylation across species

  1. Mitchell Bestry
  2. Alexander N Larcombe
  3. Nina Kresoje
  4. Emily K Chivers
  5. Chloe Bakker
  6. James P Fitzpatrick
  7. Elizabeth J Elliott
  8. Jeffrey M Craig
  9. Evelyne Muggli
  10. Jane Halliday
  11. Delyse Hutchinson
  12. Sam Buckberry
  13. Ryan Lister
  14. Martyn Symons
  15. David Martino  Is a corresponding author
  1. Telethon Kids Institute, The University of Western Australia, Australia
  2. Respiratory Environmental Health, Wal-yan Respiratory Research Centre, Telethon Kids Institute, Australia
  3. Occupation, Environment and Safety, School of Population Health, Curtin University, Australia
  4. Telethon Kids Institute, Australia
  5. School of Psychological Sciences, University of Western Australia, Australia
  6. University of Sydney, Faculty of Medicine and Health, Specialty of Child and Adolescent Health, Australia
  7. Sydney Children’s Hospitals Network (Westmead) and Kids Research, Australia
  8. Deakin University, IMPACT – the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Australia
  9. Murdoch Children’s Research Institute, Royal Children’s Hospital, Australia
  10. Department of Paediatrics, University of Melbourne, Royal Children’s Hospital, Australia
  11. Reproductive Epidemiology, Murdoch Children's Research Institute, Australia
  12. Deakin University, School of Psychology, Faculty of Health, Australia
  13. Murdoch Children’s Research Institute, Centre for Adolescent Health, Royal Children’s Hospital, Australia
  14. University New South Wales, National Drug and Alcohol Research Centre, Australia
  15. Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Australia
  16. ARC Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia, Australia
  17. National Drug Research Institute, enAble Institute, Curtin University, Australia
  18. Wal-yan Respiratory Research Centre, Telethon Kids Institute, Australia
9 figures, 3 tables and 2 additional files

Figures

Overview of prenatal alcohol exposure (PAE) model.

A schematic representation of the experiment design is shown in the figure. Fifteen dams were allocated to each treatment group. PAE mice were exposed to ethanol (10% vol/vol in non-acidified …

PAE and HMD effects on dam characteristics.

(a) Dam weight progression was significantly affected by HMD but not PAE by quadratic mixed effects model without interaction. (b) Trajectory of liquid consumption across pregnancy was affected by …

Prenatal alcohol exposure (PAE) and high methyl donor (HMD) effects on dam characteristics.

There was no significant difference in the average gain of weight in dams between (a) days 1–17 and (b) days 1–19 by treatment group. Both timepoints were included due to some pregnancies ending by …

No evidence for global disruption of methylation by prenatal alcohol exposure (PAE).

The figure shows methylation levels averaged across cytosine-guanines (CpGs) in different regulatory genomic contexts. Neither brain tissue (a and b) nor liver tissue (c and d) were grossly affected …

Prenatal alcohol exposure (PAE) was associated with site-specific differences in offspring DNA methylation.

The majority of differentially methylated regions (DMRs) lost methylation with PAE in (a) brain and (b) liver of mice given normal chow (NC). Each point represents one DMR. Point colour indicates …

High methyl donor (HMD) partially mitigated effects of prenatal alcohol exposure (PAE) on offspring DNA methylation.

Average DNA methylation effect sizes above 30% with PAE were observed in some (a) brain and (b) liver differentially methylated regions (DMRs) in normal chow (NC) mice. Mean absolute difference in …

PAE had no significant effect on other assessed behavioural outcomes.

PAE and HMD had no significant effect on anxiety as evident by no significant difference by unpaired t-test in the (a) percent time in the inner zone in the open field test (N=104) and (b) percent …

HMD was associated with increased locomotor activity.

HMD was associated with increased locomotor activity compared to NC, indicated by significantly greater total distance travelled in the (a) open field test (N=104), (b) object recognition test …

Seven prenatal alcohol exposure (PAE) differentially methylated regions (DMRs) identified in the murine model were successfully replicated in the Lussier et al., 2018 human fetal alcohol spectrum disorder (FASD) cohort.

Examples of two PAE DMRs that had significantly lower DNA methylation with a clinical diagnosis of FASD in the Lussier et al., 2018 cohort (a and c), while their mouse liftover DMR also had …

Tables

Table 1
Table of differentially methylated regions (DMRs) identified in the intronic regions of genes that contained DMRs in both the brain and liver.

Δmeth indicates the percentage change in average methylation level within the DMR with prenatal alcohol exposure (PAE) compared to non-PAE mice.

GeneTissueIntronic DMRWidthNo. CpGsΔmethp-Value
Auts2Brainchr5:131510296–1315104651705–23.5%<0.05
Auts2Liverchr5:131621828–1316219991724–22.5%<0.05
AdgbBrainchr10:10455557–104558833274–25.0%<0.05
AdgbLiverchr10:10353338–103536132764–25.9%<0.05
Rbfox1Brainchr16:6813039–68132171795–24.3%<0.05
Rbfox1Liverchr16:6781985–67823303465–22.6%<0.05
Table 2
Number and percentage of brain and liver differentially methylated regions (DMRs) that overlap with tissue-specific regulatory regions.

ATAC-seq, H3K4me1, and H3K27ac regions were obtained at 0 days postnatal from the ENCODE database. p-Values for permutation testing using a randomisation strategy.

Assay typeBrain DMRsBrain randomised regionsLiver DMRsLiver randomised regions
ATAC-seq21/78 (26.92%), p=0.011/78 (1.28%), p=0.1653/759 (6.98%)
p=0.01
22/759 (2.90%)
p=0.31
H3K4me14/78 (5.13%)
p=0.03
2/78 (2.56%)
p=0.18
38/759 (5.01%)
p=0.05
35/759 (4.61%)
p=0.32
H3K27ac9/78 (11.54%)
p=0.01
2/78 (2.56%)
p=0.74
48/759 (6.32%)
p=0.01
19/759 (2.50%)
p=0.26
Table 3
Differentially methylated regions (DMRs) identified in the murine model that were validated in the Lussier et al., 2018 human case-control cohort for a clinical diagnosis of fetal alcohol spectrum disorder (FASD).

The upper section describes properties of Lussier et al., 2018 human DMRs. The lower section describes properties of the equivalent murine model DMRs.

DMROrganismTissueChrStartEndWidthNo. CpGsFDRMeandiffGene
1HumanBuccal1681515716815231074050.028636–0.00497GADD45A
2HumanBuccal1913000782130023571576110.000197–0.00203GCDH
3HumanBuccal73314881533149316502110.001149–0.00011RP9
4HumanBuccal173390544433905888445140.000171–0.00359AP2B1, PEX12
5HumanBuccal172718150327182342840110.018536–0.00246ERAL1, FAM222B
6HumanBuccal19129921811299247929990.037431–0.00179CTD-2265O21.7, DNASE2
7HumanBuccal19118495311185001348390.022724–0.00244ZNF823
1MouseLiver667034885670350821974<0.05–0.220833E230016M11Rik
2MouseLiver884901298849015442465<0.05–0.234457Klf1
3MouseLiver92245383622453893575<0.05–0.226427Rp9
4MouseBrain142140357021403622524<0.05–0.234193Adk
5MouseLiver1178069463780700025399<0.05–0.255864Mir144, Mir451a
6MouseLiver1178072079780723132344<0.05–0.215227Mir144, Mir451a
7MouseLiver217709192717709294510185<0.05–0.224354Intergenic

Additional files

Supplementary file 1

Statistical results from MWA studies.

(a) Table of brain differentially methylated regions (DMRs) identified by DSS and annotated with annotatr. (b) Table of liver DMRs identified by DSS and annotated with annotatr. (c) Table of gene set enrichment analysis (GSEA) ontology results from genes associated with liver DMRs. (d) GSEA Ontology Gene/Gene Set Overlap Matrix for liver DMRs. (e) List of genes included in candidate gene analysis. (f) Table of regions assessed in candidate genes analysis. (g) Table of brain DMRs having differences to DNA methylation with prenatal alcohol exposure (PAE) being rescued by dietary supplementation. (h) Table of liver DMRs having differences to DNA methylation with PAE being rescued by dietary supplementation. (i) Table of FDR-significant brain DMLs from candidate gene regions in regular diet mice. (j) Table of FDR-significant liver DMLs from candidate gene regions in regular diet mice. (k) Sequencing statistics and bioinformatic quality control.

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