Dataset Information

Allele-specific epigenome maps reveal sequence-dependent stochastic switching at regulatory loci.

ABSTRACT: To assess the impact of genetic variation in regulatory loci on human health, we constructed a high-resolution map of allelic imbalances in DNA methylation, histone marks, and gene transcription in 71 epigenomes from 36 distinct cell and tissue types from 13 donors. Deep whole-genome bisulfite sequencing of 49 methylomes revealed sequence-dependent CpG methylation imbalances at thousands of heterozygous regulatory loci. Such loci are enriched for stochastic switching, which is defined as random transitions between fully methylated and unmethylated states of DNA. The methylation imbalances at thousands of loci are explainable by different relative frequencies of the methylated and unmethylated states for the two alleles. Further analyses provided a unifying model that links sequence-dependent allelic imbalances of the epigenome, stochastic switching at gene regulatory loci, and disease-associated genetic variation.

SUBMITTER: Onuchic V

PROVIDER: S-EPMC6198826 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Allele-specific epigenome maps reveal sequence-dependent stochastic switching at regulatory loci.

Onuchic Vitor V Lurie Eugene E Carrero Ivenise I Pawliczek Piotr P Patel Ronak Y RY Rozowsky Joel J Galeev Timur T Huang Zhuoyi Z Altshuler Robert C RC Zhang Zhizhuo Z Harris R Alan RA Coarfa Cristian C Ashmore Lillian L Bertol Jessica W JW Fakhouri Walid D WD Yu Fuli F Kellis Manolis M Gerstein Mark M Milosavljevic Aleksandar A

Science (New York, N.Y.) 20180823 6409

To assess the impact of genetic variation in regulatory loci on human health, we constructed a high-resolution map of allelic imbalances in DNA methylation, histone marks, and gene transcription in 71 epigenomes from 36 distinct cell and tissue types from 13 donors. Deep whole-genome bisulfite sequencing of 49 methylomes revealed sequence-dependent CpG methylation imbalances at thousands of heterozygous regulatory loci. Such loci are enriched for stochastic switching, which is defined as random ...[more]

PMID: 30139913

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Project description:BackgroundArbuscular mycorrhizal (AM) fungi are arguably the most important symbionts of plants, offering a range of benefits to their hosts. However, the provisioning of these benefits does not appear to be uniform among AM fungal individuals, with genetic variation between fungal symbionts having a substantial impact on plant performance. Interestingly, genetic variation has also been reported within fungal individuals, which contain millions of haploid nuclei sharing a common cytoplasm. In the model AM fungus, Rhizophagus irregularis, several isolates have been reported to be dikaryotes, containing two genetically distinct types of nuclei recognized based on their mating-type (MAT) locus identity. However, their extremely coenocytic nature and lack of a known single nucleus stage has raised questions on the origin, distribution and dynamics of this genetic variation.ResultsHere we performed DNA and RNA sequencing at the mycelial individual, single spore and single nucleus levels to gain insight into the dynamic genetic make-up of the dikaryote-like R. irregularis C3 isolate and the effect of different host plants on its genetic variation. Our analyses reveal that parallel spore and root culture batches can have widely variable ratios of two main genotypes in C3. Additionally, numerous polymorphisms were found with frequencies that deviated significantly from the general genotype ratio, indicating a diverse population of slightly different nucleotypes. Changing host plants did not show consistent host effects on nucleotype ratio's after multiple rounds of subculturing. Instead, we found a major effect of host plant-identity on allele-specific expression in C3.ConclusionOur analyses indicate a highly dynamic/variable genetic organization in different isolates of R. irregularis. Seemingly random fluctuations in nucleotype ratio's upon spore formation, recombination events, high variability of non-tandemly repeated rDNA sequences and host-dependent allele expression all add levels of variation that may contribute to the evolutionary success of these widespread symbionts.

Dataset Information

Allele-specific epigenome maps reveal sequence-dependent stochastic switching at regulatory loci.

Publications

Allele-specific epigenome maps reveal sequence-dependent stochastic switching at regulatory loci.

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