Maize DNA Methylation in Response to Drought Stress Is Involved in Target Gene Expression and Alternative Splicing

DNA methylation is important for plant growth, development, and stress response. To understand DNA methylation dynamics in maize roots under water stress (WS), we reanalyzed DNA methylation sequencing data to profile DNA methylation and the gene expression landscape of two inbred lines with different drought sensitivities, as well as two of their derived recombination inbred lines (RILs). Combined with genotyping-by-sequencing, we found that the inheritance pattern of DNA methylation between RILs and parental lines was sequence-dependent. Increased DNA methylation levels were observed under WS and the methylome of drought-tolerant inbred lines were much more stable than that of the drought-sensitive inbred lines. Distinctive differentially methylated genes were found among diverse genetic backgrounds, suggesting that inbred lines with different drought sensitivities may have responded to stress in varying ways. Gene body DNA methylation showed a negative correlation with gene expression but a positive correlation with exon splicing events. Furthermore, a positive correlation of a varying extent was observed between small interfering RNA (siRNA) and DNA methylation, which at different genic regions. The response of siRNAs under WS was consistent with the differential DNA methylation. Taken together, our data can be useful in deciphering the roles of DNA methylation in plant drought-tolerance variations and in emphasizing its function in alternative splicing.

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Cellular Heterogeneity–Adjusted cLonal Methylation (CHALM) improves prediction of gene expression

Nature Communications ◽

10.1038/s41467-020-20492-7 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Jianfeng Xu ◽

Jiejun Shi ◽

Xiaodong Cui ◽

Ya Cui ◽

Jingyi Jessica Li ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Cellular Heterogeneity ◽

Biological Functions ◽

Global Correlation ◽

Differentially Methylated Genes ◽

Promoter Dna Methylation ◽

Functional Consequences ◽

Promoter Dna ◽

Underlying Mechanisms

AbstractPromoter DNA methylation is a well-established mechanism of transcription repression, though its global correlation with gene expression is weak. This weak correlation can be attributed to the failure of current methylation quantification methods to consider the heterogeneity among sequenced bulk cells. Here, we introduce Cell Heterogeneity–Adjusted cLonal Methylation (CHALM) as a methylation quantification method. CHALM improves understanding of the functional consequences of DNA methylation, including its correlations with gene expression and H3K4me3. When applied to different methylation datasets, the CHALM method enables detection of differentially methylated genes that exhibit distinct biological functions supporting underlying mechanisms.

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On the origin and evolutionary consequences of gene body DNA methylation

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1604666113 ◽

2016 ◽

Vol 113 (32) ◽

pp. 9111-9116 ◽

Cited By ~ 149

Author(s):

Adam J. Bewick ◽

Lexiang Ji ◽

Chad E. Niederhuth ◽

Eva-Maria Willing ◽

Brigitte T. Hofmeister ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Recombinant Inbred Lines ◽

Dna Methyltransferases ◽

Inbred Lines ◽

Gene Body ◽

Gene Body Methylation ◽

Eutrema Salsugineum ◽

And Function ◽

Evolutionary Consequences

In plants, CG DNA methylation is prevalent in the transcribed regions of many constitutively expressed genes (gene body methylation; gbM), but the origin and function of gbM remain unknown. Here we report the discovery that Eutrema salsugineum has lost gbM from its genome, to our knowledge the first instance for an angiosperm. Of all known DNA methyltransferases, only CHROMOMETHYLASE 3 (CMT3) is missing from E. salsugineum. Identification of an additional angiosperm, Conringia planisiliqua, which independently lost CMT3 and gbM, supports that CMT3 is required for the establishment of gbM. Detailed analyses of gene expression, the histone variant H2A.Z, and various histone modifications in E. salsugineum and in Arabidopsis thaliana epigenetic recombinant inbred lines found no evidence in support of any role for gbM in regulating transcription or affecting the composition and modification of chromatin over evolutionary timescales.

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GSDMA drives the most replicated association with asthma in naïve CD4+ T cells

10.1101/774760 ◽

2019 ◽

Cited By ~ 1

Author(s):

Anne-Marie Madore ◽

Lucile Pain ◽

Anne-Marie Boucher-Lafleur ◽

Jolyane Meloche ◽

Andréanne Morin ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

T Cells ◽

Genetic Variants ◽

Immune Cell ◽

Cell Types ◽

Sequencing Data ◽

Opposite Pattern ◽

Genetic Mechanisms ◽

New Gene

AbstractBackgroundThe 17q12-21 locus is the most replicated association with asthma. However, no study had described the genetic mechanisms underlying this association considering all genes of the locus in immune cell samples isolated from asthmatic and non-asthmatic individuals.ObjectiveThis study takes benefit of samples from naïve CD4+ T cells and eosinophils isolated from the same 200 individuals to describe specific interactions between genetic variants, gene expression and DNA methylation levels for the 17q12-21 asthma locus.Methods and ResultsAfter isolation of naïve CD4+ T cells and eosinophils from blood samples, next generation sequencing was used to measure DNA methylation levels and gene expression counts. Genetic interactions were then evaluated considering genetic variants from imputed genotype data. In naïve CD4+ T cells but not eosinophils, 20 SNPs in the fourth and fifth haplotype blocks modulated both GSDMA expression and methylation levels, showing an opposite pattern of allele frequencies and expression counts in asthmatics compared to controls. Moreover, negative correlations have been measured between methylation levels of CpG sites located within the 1.5 kb region from the transcription start site of GSDMA and its expression counts.ConclusionAvailability of sequencing data from two key cell types isolated from asthmatic and non-asthmatic individuals allowed identifying a new gene in naïve CD4+ T cells that drives the association with the 17q12-21 locus, leading to a better understanding of the genetic mechanisms taking place in it.

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Abstract 500: DNA Methylation Profiling Reveals an Epithelial/Endothelial-Mesenchymal Transition-like Signature of Intima-Media Cells in the Ascending Aorta of Bicuspid Aortic Valve Patients

Arteriosclerosis Thrombosis and Vascular Biology ◽

10.1161/atvb.36.suppl_1.500 ◽

2016 ◽

Vol 36 (suppl_1) ◽

Author(s):

Hanna M Björck ◽

Lei Du ◽

Valentina Paloschi ◽

Shohreh Maleki ◽

Silvia Pulignani ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Epithelial Mesenchymal Transition ◽

Ascending Aorta ◽

Molecular Signature ◽

Aortic Valves ◽

Global Methylation ◽

Mesenchymal Transition ◽

Differentially Methylated Genes ◽

Increased Risk

Introduction: Individuals with bicuspid aortic valves (BAV) are at increased risk of ascending aortic aneurysm than individuals with tricuspid aortic valves (TAV), but the underlying mechanism is not fully understood. Aberrant DNA methylation has been described in various human diseases, and we have shown that key enzymes in the methylation machinery are differentially expressed in the aortic intima-media of BAV and TAV patients. In the present study, we assessed the hypothesis that DNA methylation may play an important role during aneurysm formation in BAV. We undertook a global methylation approach to delineate biological processes associated with BAV aortopathy, using TAV as a reference. Methods: Ascending aortic biopsies were collected from 21 BAV and 24 TAV patients, with either a non-dilated or a dilated aorta, at the time of surgery. Global DNA methylation was measured in the intima-media layer using Illumina 450k Array. Gene expression was analyzed in the same samples using Affymetrix Exon Array. Results: Compared with TAV, the BAV dilated aorta was hypomethylated (P=0.031), correlating with an up-regulation of global gene expression. A total of 4913 differentially methylated regions (DMRs) were identified and Hallmark analysis of the DMR-associated genes with a fold change of 10% (n=3147) showed a gene signature of Epithelial Mesenchymal Transition (EMT) (FDR q=2.91e-29). This was further confirmed by functional annotation analysis of hypomethylated DMRs using the Genomic Regions Enrichment of Annotations Tool (Stanford University), showing association to actin filament bundle (P=7.09e-12), stress fibers (P=1.72e-11) and adherence junctions (P=2.97e-8). Interestingly, analysis of non-dilated BAV and TAV aorta revealed that genes involved in EMT were the most differentially methylated genes prior to dilatation (FDR q=1.18e-6). We further confirmed the EMT-related molecular signature by immunostaining of some key players of EMT. In conclusion, epigenetic profiling clearly revealed differential methylation between BAV and TAV aorta, particularly in EMT-related genes. Aberrant EMT in the ascending aorta prior to dilatation may constitute the basis for the increased aneurysm susceptibility in BAV patients.

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THU0003 ALTERED DNA METHYLATION AND DIFFERENTIAL EXPRESSION OF GENES INFLUENCING CARDIOVASCULAR RISK AND IMMUNITY IN CD4+ T CELLS FROM SUBJECTS WITH PSORIATIC ARTHRITIS.

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2020-eular.4492 ◽

2020 ◽

Vol 79 (Suppl 1) ◽

pp. 214.1-214

Author(s):

I. Arias de la Rosa ◽

M. D. López Montilla ◽

J. Rodríguez ◽

E. Ballester ◽

C. Torres-Granados ◽

...

Keyword(s):

Gene Expression ◽

Risk Factors ◽

Insulin Resistance ◽

Dna Methylation ◽

T Cells ◽

Cardiovascular Risk ◽

Research Support ◽

Insulin Resistant ◽

Genome Wide ◽

Differentially Methylated Genes

Background:Cardiovascular risk factors are increased in Psoriatic Arthritis (PsA). In fact, around 60% out of PsA patients display insulin resistance (IR), a hallmark of metabolic syndrome, which might significantly contribute to the cardiovascular disease. Latest studies suggested that inflammatory and metabolic disorders may be under epigenetic control, including DNA methylation. DNA methylation is an unexplored area in the field of PsA.Objectives:To study the alterations in the genome-wide DNA methylation profile of CD4+T cells from PsA patients and its relationship with its pathology and the risk of cardiovascular comorbidity.Methods:Twenty healthy controls (HC) and 20 PsA patients were included in the study. PsA patients were classified into insulin resistant and non-insulin resistant according to HOMA-IR index. CD4+T lymphocytes were isolated from peripheral blood by positive immunomagnetic selection. The Illumina Infinium MethylationEPIC Beadchip was used to obtain DNA methylation profiles across approximately 850,000 CpGs (TSS1500, TSS200, 5UTR, 3UTR, first exon, gene body). Beta values (β) estimating methylation levels were obtained at each CpG site, and differentially methylated genes (DMG) between PsA and HC were identified. Functional classification of these genes was carried out through gene ontology analysis (PANTHER database). Gene expression analysis of the selected genes was also evaluated by RT-PCR. Vascular parameters including carotid intima-media thickness (cIMT) and endothelial function was analyzed by ecodoppler and periflux respectively.Results:The genome-wide methylation analysis identified 112 DMGs including 41 hypomethylated and 71 hypermethylated. These differentially methylated genes were enriched with several signaling pathways and disease categories including immune response, metabolic processes, oxidative stress, vascular and inflammatory pathways. The altered gene expression of selected genes with altered methylation levels in PsA was also validated. Correlation and association analysis of these DMGs with clinical and analytical variables, cardiovascular risk factors and endothelial microvascular function revealed that the degree of methylation of these genes was significantly associated with cIMT (IGF1R, NDRG3, SMYD3, HLA-DRB1, WDR70), arterial pressure (METT5D1, NRDG3, ADAM17, SMYD3, WNK1, CBX1), insulin resistance (AKAP13, SEMA6D, PLCB1), altered lipid profile and atherogenic index (MYBL1, METT5D1, MAN2A1, SLC1A7, SEMA6D, PLCB1, TLK1, SDK1, CBX1), inflammation (MYBL1, NDUFA5, METT5D1, SEMA6D, PLCB1, TLK1), and endothelial dysfunction (ADAMST10, GPCPD1, CCDC88A). In addition, this analysis also identified 435 DMGs including 280 hypomethylated and 155 hypermethylated in CD4+T cells from IR-PsA vs non IR-PsA patients. Between these two groups of PsA patients, CHUK, SERINC1, RUNX1, TTYH2, TXNDC11, FAF1, BICD1, SCD5, PDE5A, FAS, NFIA and GRP75 displayed the most significantly altered methylation, suggesting the role of these genes in the metabolic complications associated with PsA.Conclusion:These findings help our understanding of the pathogenesis of PsA and advance epigenetic studies in regards to this disease and the cardiometabolic comorbidities associated. Funded by ISCIII (PI17/01316 and RIER RD16/0012/0015) co-funded with FEDER.Disclosure of Interests:Iván Arias de la Rosa: None declared, María Dolores López Montilla Speakers bureau: Celgene, Javier Rodríguez: None declared, Esteban Ballester: None declared, Carmen Torres-Granados: None declared, Carlos Perez-Sanchez: None declared, Maria del Carmen Abalos-Aguilera: None declared, Gómez García Ignacio: None declared, Desiree Ruiz: None declared, Alejandra M. Patiño-Trives: None declared, María Luque-Tévar: None declared, Eduardo Collantes-Estévez Grant/research support from: ROCHE and Pfizer., Speakers bureau: ROCHE, Lilly, Bristol and Celgene., Chary Lopez-Pedrera Grant/research support from: ROCHE and Pfizer., Alejandro Escudero Contreras Grant/research support from: ROCHE and Pfizer, Speakers bureau: ROCHE, Lilly, Bristol and Celgene., Nuria Barbarroja Puerto Grant/research support from: ROCHE and Pfizer., Speakers bureau: ROCHE and Celgene.

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Maternal and Post-weaning High-Fat Diets Produce Distinct DNA Methylation Patterns in Hepatic Metabolic Pathways within Specific Genomic Contexts

International Journal of Molecular Sciences ◽

10.3390/ijms20133229 ◽

2019 ◽

Vol 20 (13) ◽

pp. 3229 ◽

Cited By ~ 4

Author(s):

Moody ◽

Wang ◽

Jung ◽

Chen ◽

Pan

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Metabolic Pathways ◽

Expression Patterns ◽

Sprague Dawley ◽

High Fat ◽

Differentially Methylated Genes ◽

High Fat Diets ◽

Diet Intake ◽

Fat Diets

Calorie-dense high-fat diets (HF) are associated with detrimental health outcomes, including obesity, cardiovascular disease, and diabetes. Both pre- and post-natal HF diets have been hypothesized to negatively impact long-term metabolic health via epigenetic mechanisms. To understand how the timing of HF diet intake impacts DNA methylation and metabolism, male Sprague–Dawley rats were exposed to either maternal HF (MHF) or post-weaning HF diet (PHF). At post-natal week 12, PHF rats had similar body weights but greater hepatic lipid accumulation compared to the MHF rats. Genome-wide DNA methylation was evaluated, and analysis revealed 1744 differentially methylation regions (DMRs) between the groups with the majority of the DMR located outside of gene-coding regions. Within differentially methylated genes (DMGs), intragenic DNA methylation closer to the transcription start site was associated with lower gene expression, whereas DNA methylation further downstream was positively correlated with gene expression. The insulin and phosphatidylinositol (PI) signaling pathways were enriched with 25 DMRs that were associated with 20 DMGs, including PI3 kinase (Pi3k), pyruvate kinase (Pklr), and phosphodiesterase 3 (Pde3). Together, these results suggest that the timing of HF diet intake determines DNA methylation and gene expression patterns in hepatic metabolic pathways that target specific genomic contexts.

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A Comprehensive Sequencing-Based Analysis of Allelic Methylation Patterns in Hemostatic Genes in Human Liver

Thrombosis and Haemostasis ◽

10.1055/s-0039-3401824 ◽

2019 ◽

Vol 120 (02) ◽

pp. 229-242 ◽

Cited By ~ 2

Author(s):

Martina Olsson Lindvall ◽

Marcela Davila Lopez ◽

Sofia Klasson ◽

Lena Hansson ◽

Staffan Nilsson ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Liver Tissue ◽

Human Liver ◽

Genome Wide Association Study ◽

Warfarin Dose ◽

Sequencing Data ◽

Human Liver Tissue ◽

In Cis ◽

Hemostatic Genes

AbstractCharacterizing the relationship between genetic, epigenetic (e.g., deoxyribonucleic acid [DNA] methylation), and transcript variation could provide insights into mechanisms regulating hemostasis and potentially identify new drug targets. Several hemostatic factors are synthesized in the liver, yet high-resolution DNA methylation data from human liver tissue is currently lacking for these genes. Single-nucleotide polymorphisms (SNPs) can influence DNA methylation in cis which can affect gene expression. This can be analyzed through allele-specific methylation (ASM) experiments. We performed targeted genomic DNA- and bisulfite-sequencing of 35 hemostatic genes in human liver samples for SNP and DNA methylation analysis, respectively, and integrated the data for ASM determination. ASM-associated SNPs (ASM-SNPs) were tested for association to gene expression in liver using in-house generated ribonucleic acid-sequencing data. We then assessed whether ASM-SNPs associated with gene expression, plasma proteins, or other traits relevant for hemostasis using publicly available data. We identified 112 candidate ASM-SNPs. Of these, 68% were associated with expression of their respective genes in human liver or in other human tissues and 54% were associated with the respective plasma protein levels, activity, or other relevant hemostatic genome-wide association study traits such as venous thromboembolism, coronary artery disease, stroke, and warfarin dose maintenance. Our study provides the first detailed map of the DNA methylation landscape and ASM analysis of hemostatic genes in human liver tissue, and suggests that methylation regulated by genetic variants in cis may provide a mechanistic link between noncoding SNPs and variation observed in circulating hemostatic proteins, prothrombotic diseases, and drug response.

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DNMIVD: DNA methylation interactive visualization database

Nucleic Acids Research ◽

10.1093/nar/gkz830 ◽

2019 ◽

Vol 48 (D1) ◽

pp. D856-D862 ◽

Cited By ~ 7

Author(s):

Wubin Ding ◽

Jiwei Chen ◽

Guoshuang Feng ◽

Geng Chen ◽

Jun Wu ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Quantitative Trait Loci ◽

Quantitative Trait ◽

Interactive Visualization ◽

The Cancer Genome Atlas ◽

Prognostic Models ◽

Differentially Methylated Genes ◽

Trait Loci ◽

Methylation Quantitative Trait Loci

Abstract Aberrant DNA methylation plays an important role in cancer progression. However, no resource has been available that comprehensively provides DNA methylation-based diagnostic and prognostic models, expression–methylation quantitative trait loci (emQTL), pathway activity-methylation quantitative trait loci (pathway-meQTL), differentially variable and differentially methylated CpGs, and survival analysis, as well as functional epigenetic modules for different cancers. These provide valuable information for researchers to explore DNA methylation profiles from different aspects in cancer. To this end, we constructed a user-friendly database named DNA Methylation Interactive Visualization Database (DNMIVD), which comprehensively provides the following important resources: (i) diagnostic and prognostic models based on DNA methylation for multiple cancer types of The Cancer Genome Atlas (TCGA); (ii) meQTL, emQTL and pathway-meQTL for diverse cancers; (iii) Functional Epigenetic Modules (FEM) constructed from Protein-Protein Interactions (PPI) and Co-Occurrence and Mutual Exclusive (COME) network by integrating DNA methylation and gene expression data of TCGA cancers; (iv) differentially variable and differentially methylated CpGs and differentially methylated genes as well as related enhancer information; (v) correlations between methylation of gene promoter and corresponding gene expression and (vi) patient survival-associated CpGs and genes with different endpoints. DNMIVD is freely available at http://www.unimd.org/dnmivd/. We believe that DNMIVD can facilitate research of diverse cancers.

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Intrauterine calorie restriction affects placental DNA methylation and gene expression

Physiological Genomics ◽

10.1152/physiolgenomics.00034.2013 ◽

2013 ◽

Vol 45 (14) ◽

pp. 565-576 ◽

Cited By ~ 57

Author(s):

Pao-Yang Chen ◽

Amit Ganguly ◽

Liudmilla Rubbi ◽

Luz D. Orozco ◽

Marco Morselli ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Chronic Diseases ◽

Calorie Restriction ◽

Molecular Mechanisms ◽

Target Genes ◽

Specific Effects ◽

Differentially Methylated Genes ◽

Critical Organ ◽

Successive Generations

Maternal nutrient restriction causes the development of adult onset chronic diseases in the intrauterine growth restricted (IUGR) fetus. Investigations in mice have shown that either protein or calorie restriction during pregnancy leads to glucose intolerance, increased fat mass, and hypercholesterolemia in adult male offspring. Some of these phenotypes are shown to persist in successive generations. The molecular mechanisms underlying IUGR remain unclear. The placenta is a critical organ for mediating changes in the environment and the development of embryos. To shed light on molecular mechanisms that might affect placental responses to differing environments we examined placentas from mice that had been exposed to different diets. We measured gene expression and whole genome DNA methylation in both male and female placentas of mice exposed to either caloric restriction or ad libitum diets. We observed several differentially expressed pathways associated with IUGR phenotypes and, most importantly, a significant decrease in the overall methylation between these groups as well as sex-specific effects that are more pronounced in males. In addition, a set of significantly differentially methylated genes that are enriched for known imprinted genes were identified, suggesting that imprinted loci may be particularly susceptible to diet effects. Lastly, we identified several differentially methylated microRNAs that target genes associated with immunological, metabolic, gastrointestinal, cardiovascular, and neurological chronic diseases, as well as genes responsible for transplacental nutrient transfer and fetal development.

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SNP-guided identification of monoallelic DNA-methylation events from enrichment-based sequencing data

10.1101/002352 ◽

2014 ◽

Author(s):

Sandra Steyaert ◽

Wim Van Criekinge ◽

Ayla De Paepe ◽

Simon Denil ◽

Klaas Mensaert ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Genetic Disorders ◽

Data Sets ◽

Sequencing Data ◽

Promoter Regions ◽

Sequencing Technologies ◽

Genome Bisulfite Sequencing ◽

Significant Enrichment ◽

Bisulfite Sequencing Data

Monoallelic gene expression is typically initiated early in the development of an organism. Dysregulation of monoallelic gene expression has already been linked to several non-Mendelian inherited genetic disorders. In humans, DNA-methylation is deemed to be an important regulator of monoallelic gene expression, but only few examples are known. One important reason is that current, cost-affordable truly genome-wide methods to assess DNA-methylation are based on sequencing post enrichment. Here, we present a new methodology that combines methylomic data from MethylCap-seq with associated SNP profiles to identify monoallelically methylated loci. Using the Hardy-Weinberg theorem for each SNP locus, it could be established whether the observed frequency of samples featured by biallelic methylation was lower than randomly expected. Applied on 334 MethylCap-seq samples of very diverse origin, this resulted in the identification of 80 genomic regions featured by monoallelic DNA-methylation. Of these 80 loci, 49 are located in genic regions of which 25 have already been linked to imprinting. Further analysis revealed statistically significant enrichment of these loci in promoter regions, further establishing the relevance and usefulness of the method. Additional validation of the found loci was done using 14 whole-genome bisulfite sequencing data sets. Importantly, the developed approach can be easily applied to other enrichment-based sequencing technologies, such as the ChIP-seq-based identification of monoallelic histone modifications.

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