bioRxiv Science⌕ Search

bioRxiv · 10.1101/310748

Genome-wide DNA methylation patterns in Autism Spectrum Disorder and mitochondrial function.

Abstract

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterised by phenotypic heterogeneity and overlapping co-morbidities. The genetic architecture of ASD is complex, with 100s of risk genes cumulatively contributing to the aetiology of ASD. Epigenetic mechanisms, particularly DNA methylation, have been associated with ASD. The vast majority of ASD molecular research has focused on Northern European populations, with a paucity of data from Africa. This study examines genome-wide DNA methylation patterns in a novel cohort of South African children with ASD and matched, unrelated controls. We performed a whole-genome DNA methylation screen using the Illumina 450K Human Methylation Array. We identify differentially methylated loci associated with ASD across 898 genes (p-value [≤] 0.05). Using a pathway analysis framework, we find nine enriched canonical pathways implicating 32 of the significant genes in our ASD cohort. These pathways converge on two crucial biological processes: mitochondrial metabolism and protein ubiquitination, both hallmarks of mitochondrial function. The involvement of mitochondrial function in ASD aetiology is in line with the recently reported transcriptomic dysregulation associated with the disorder. The differentially methylated genes in our cohort overlap with the gene co-expression modules identified in brain tissue from five major neurological disorders, including ASD. We find significant enrichment of three gene modules, two of which are classified as Mitochondrial and were significantly downregulated in ASD brains. Furthermore, we find significant overlap between differentially methylated and differentially expressed genes from our dataset with a RNA seq dataset from ASD brain tissue. This overlap is particularly significant across the Occipital brain region (padj= 0.0002) which has known association to ASD. Our differential methylation data recapitulate the expression differences of genes and co-expression module functions observed in ASD brain tissue which is consistent with a central role for DNA-methylation leading to mitochondrial dysfunction in the aetiology of ASD.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Stathopoulos, S., Gaujoux, R., O'Ryan, C.. 2018-04-29. Genome-wide DNA methylation patterns in Autism Spectrum Disorder and mitochondrial function.. https://doi.org/10.1101/310748

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Mapping, stacking and characterization of a novel resistance haplotype against GpaVvrn-virulent Globodera pallida derived from wild potato relative Solanum brevicaule

Potato production is threatened by pests and pathogens. Among the most harmful are the potato cyst nematodes (PCN), including Globodera pallida. The major control measures are potato cultivars harbouring resistance genes. However, virulent nematode populations are breaking through the most broadly applied resistance genes, and therefore novel resistance genes are required to keep control of G. pallida. In this study we map a resistance locus in wild potato relative Solanum brevicaule to the bottom of chromosome 11 (42.83 - 42.85 Mb) using a k-mer based bulked segregant analysis and name the resistant haplotype GpaXIbrc. The presence of the GpaXIbrc marker in the potato genome significantly increases resistance against a GpaVvrn-virulent G. pallida population (AMPOP01). Furthermore, the GpaXIbrc haplotype was stacked with three other resistance haplotypes: GpaXItar, GpaVvrn, and GpaIXvrn. Stacking of the novel GpaXIbrc haplotype to these other resistance haplotypes resulted in a significant increase in resistance. The largest effect was seen in combinations with 'major' resistance haplotypes GpaVvrn + GpaIXvrn and GpaXItar + GpaXIbrc. To determine whether we are dealing with a novel allele, the resistance mechanism underlying the GpaXIbrc haplotype was described after performing an in vitro bioassay. The resistance mechanism was different from GpaXIspl as described in literature, which is also localized at the bottom of chromosome 11. Therefore, we conclude that we found a novel resistance allele originating from S. brevicaule.

genetics↗

Multiple domains of Mata1 transcription factor contribute to binding site specificity

Among homologous transcription factors with the same function, DNA-binding specificity can diverge. Mat1 is a high mobility group (HMG) box transcription factor in budding yeast whose Saccharomyces cerevisiae and Candida albicans homologs regulate -specific genes but bind distinct cis-regulatory sequences. To identify the protein features underlying this divergence, we generated structure-guided chimeras and measured their activity using species-specific reporters. Replacing any of the four Mat1 regions reduced activation of the S. cerevisiae reporter, while all chimeras retained activity on the C. albicans reporter. Thus, all four regions of Mat - not just the HMG box domain - are important for sequence specificity.

genetics↗

A multi-tissue RNA-seq atlas of adult medaka (Oryzias latipes) under salinity and winter-summer sampling contrasts

Medaka (Oryzias latipes) is a euryhaline and eurythermal teleost widely used in genetics and environmental biology. We generated an RNA-sequencing atlas of 11 adult tissues (brain, eye, gill, heart, intestine, kidney, liver, muscle, spleen, ovary, testis) of the strain d-rR/TOKYO, sampled under two independent environmental contrasts: salinity (freshwater versus seawater) and season (winter versus summer). The freshwater and summer groups, reared indoors and outdoors under long days, provide a third contrast between laboratory and outdoor rearing. Typically, one male and one female were sampled per condition, with ten tissues taken from each individual. Ninety libraries were quantified against the medaka RefSeq transcript set (GCF_053564925.1). The resource comprises gene-level TPM and count matrices, differential expression tables for each tissue and contrast, tissue-specificity indices, human ortholog annotations, sample metadata, and a self-contained interactive browser. Because replication is limited and each condition was sampled on its own date, the differential expression tables are intended for hypothesis generation. The dataset supports studies of gene-expression plasticity and comparisons between medaka and humans.

genetics↗