scholarly journals Whole genome bisulfite sequencing dataset of mycelium and spore of chalkbrood disease pathogen Ascosphaera apis

2020 ◽  
Author(s):  
Yu Du ◽  
Haibin Jiang ◽  
Huazhi Chen ◽  
Jie Wang ◽  
Yuanchan Fan ◽  
...  

ABSTRACTChalkbrood, a widespread fungal disease of bee larvae, is caused by the fungus Ascosphaera apis. In this article, mecylia and spores of A. apis were respectively collected followed by DNA isolation, bisulfite conversion, cDNA library construction and next-generation sequencing. Using whole genome bisulfite sequencing (WGBS), 69,844,360 and 60,570,990 raw reads were yielded from Aam and Aas, and after quality control, 9,982,386,951 and 8,825,601,434 clean reads were obtained, respectively. In addition, 67,685,866 and 58,886,072 clean reads were mapped to the reference genome of A. apis, including 37,643,592 and 31,568,442 unique mapped clean reads, and 49,686 and 13,348 multiple mapped clean reads. Furthermore, after bisulfite treatment, the conversion ratio of clean reads from Aam and Aas were 99.38% and 99.51%, respectively. The WGBS data ducumented here contributes to genome-wide identification of 5mC methylation sites in A. apis and comparison of methylomes between mycelium and spore.Value of the dataThis dataset can be used for genome-wide identification of 5mC methylation sites in A. apis.The accessible data could be used to systematically compare methylomes between mycelium and spore of A. apis.Current data provides a useful resource for further study on DNA methylation-mediated mechanism underlying mycelium growth, spore germination and sexual reproduction of mycelium with the opposite sex.

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Suhua Feng ◽  
Zhenhui Zhong ◽  
Ming Wang ◽  
Steven E. Jacobsen

Abstract Background 5′ methylation of cytosines in DNA molecules is an important epigenetic mark in eukaryotes. Bisulfite sequencing is the gold standard of DNA methylation detection, and whole-genome bisulfite sequencing (WGBS) has been widely used to detect methylation at single-nucleotide resolution on a genome-wide scale. However, sodium bisulfite is known to severely degrade DNA, which, in combination with biases introduced during PCR amplification, leads to unbalanced base representation in the final sequencing libraries. Enzymatic conversion of unmethylated cytosines to uracils can achieve the same end product for sequencing as does bisulfite treatment and does not affect the integrity of the DNA; enzymatic methylation sequencing may, thus, provide advantages over bisulfite sequencing. Results Using an enzymatic methyl-seq (EM-seq) technique to selectively deaminate unmethylated cytosines to uracils, we generated and sequenced libraries based on different amounts of Arabidopsis input DNA and different numbers of PCR cycles, and compared these data to results from traditional whole-genome bisulfite sequencing. We found that EM-seq libraries were more consistent between replicates and had higher mapping and lower duplication rates, lower background noise, higher average coverage, and higher coverage of total cytosines. Differential methylation region (DMR) analysis showed that WGBS tended to over-estimate methylation levels especially in CHG and CHH contexts, whereas EM-seq detected higher CG methylation levels in certain highly methylated areas. These phenomena can be mostly explained by a correlation of WGBS methylation estimation with GC content and methylated cytosine density. We used EM-seq to compare methylation between leaves and flowers, and found that CHG methylation level is greatly elevated in flowers, especially in pericentromeric regions. Conclusion We suggest that EM-seq is a more accurate and reliable approach than WGBS to detect methylation. Compared to WGBS, the results of EM-seq are less affected by differences in library preparation conditions or by the skewed base composition in the converted DNA. It may therefore be more desirable to use EM-seq in methylation studies.


2020 ◽  
Author(s):  
Yuanmei Wang ◽  
Liying Liu ◽  
Min Li ◽  
Lili Lin ◽  
Pengcheng Su ◽  
...  

Abstract Background: Salmonella enterica serovar Enteritidis (SE) is one of the pathogenic bacteria, which affects poultry production and poses severe threat to public health. Chicken meat and egg are the main source of SE. DNA methylation, an important epigenetic modification, involves in regulatory processes including gene expression, chromatin structure and genomic imprinting. To understand the methylation regulation in response to SE inoculation in chicken, the genome-wide DNA methylation profile following SE inoculation was analyzed through whole genome bisulfite sequencing in the current study. Results: There were 185,362,463 clean reads and 126,098,724 unique reads in the control group, and 180,530,750 clean Reads, 126,782,896 unique reads in the inoculated group. We found that the methylation density in gene body was higher than that in the upstream and downstream regions of gene. There were 8,946 differentially methylated genes (3,639 hypo-methylated genes, 5,307 hyper-methylated genes) obtained between inoculated and control groups. Methylated genes were mainly enriched in immune-related Gene Ontology (GO) terms and metabolic process terms. Cytokine-cytokine receptor interaction, TGF-beta signaling pathway, FoxO signaling pathway, Wnt signaling pathway and several metabolism-related pathways were significantly enriched. The density of differentially methylated cytosines in miRNAs was the highest. HOX genes were widely methylated and mainly distributed in Chr2 and 7. Conclusions: We firstly analyzed the genome-wide DNA methylation in the response to SE inoculation in chicken. SE inoculation promoted the DNA methylation in chicken cecum and caused methylation alteration in immune- and metabolic- related genes. Wnt signal pathway, miRNAs and HOX gene family may play a crucial role in the methylation regulation of SE infection in chicken. The findings herein will deepen the understanding of epigenetic regulation in the response to SE inoculation in chicken.


2019 ◽  
Vol 31 (1) ◽  
pp. 126
Author(s):  
J. E. Duan ◽  
Z. Jiang ◽  
F. Alqahtani ◽  
I. Mandoiu ◽  
H. Dong ◽  
...  

Dynamic changes in DNA methylation are crucial in the epigenetic regulation of mammalian embryogenesis. Global DNA methylation studies in the bovine, however, remain mostly at the immunostaining level. We adopted the single-cell whole-genome bisulfite sequencing method to characterise stage-specific genome-wide DNA methylation in bovine sperm, individual oocytes derived invivo and invitro, and invivo-developed embryos at the 2-, 4-, 8-, and 16-cell stages. This method allowed us to theoretically cover all CpG sites in the genome using a limited number of cells from single embryos. Pools of 20 sperm were selected from a bull with proven fertility. Single oocytes (n=6) and embryos (n=4 per stage) were collected from Holstein cows (n=10). Single-cell whole-genome bisulfite sequencing libraries were prepared and sequenced using the Illumina HiSEqn 4000 platform (Illumina, San Diego, CA, USA). Sequencing reads were filtered and aligned to the bovine reference genome (UMD 3.1.1) using Bismark (Krueger and Andrews 2011Bioinformatics27, 1571-1572, DOI: 10.1093/bioinformatics/btr167).A 300-bp tile-based method was applied to bin the genome into consecutive windows to facilitate comparison across samples. The DNA methylation level was calculated as the fraction of read counts of the total number of cytosines (methylated) in the total read counts of reported cytosines and thymines (methylated and unmethylated), only if more than 3 CpG sites were covered in this tile. Gamete-specific differentially methylated regions were identified when DNA methylation levels were greater than 75% in one type of gamete and less than 25% in the other with false discovery rate-corrected Fisher’s exact test P-values of less than 0.05. The major wave of genome-wide DNA demethylation was complete at the 8-cell stage when de novo methylation became prominent. Sperm and oocytes had numerous differentially methylated regions that were enriched in intergenic regions. Differentially methylated regions were also identified between invivo- and invitro-matured oocytes. Moreover, X chromosome methylation followed the global dynamic patterns. Virtually no (less than 1.5%) DNA methylation was found in mitochondrial DNA. Finally, using our RNA sequencing data generated from the same developmental stages (Jiang et al. 2014 BMC Genomics 15, 756; DOI: 10.1186/1471-2164-15-756), we revealed an inverse correlation between gene expression and promoter methylation. Our study provides the first fully comprehensive analysis of the global dynamics of DNA methylation in bovine gametes and single early embryos using single-cell whole-genome bisulfite sequencing. These data provide insights into the critical features of the methylome of bovine embryos and serve as an important reference for embryos produced by assisted reproduction, such as IVF and cloning, and a model for human early embryo epigenetic regulation.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 2329-2329
Author(s):  
Mira Jeong ◽  
Min Luo ◽  
Deqiang Sun ◽  
Gretchen Darlington ◽  
Rebecca Hannah ◽  
...  

Abstract Abstract 2329 Age is the most important risk factor for myelodysplastic syndrome (MDS), a premalignant state that transforms into acute myelogenous leukemia in one third of cases. Indeed with normal aging, hematopoietic stem cell (HSC) regenerative potential diminishes and differentiation skews from lymphopoiesis toward myelopoiesis. The expansion in the HSC pool with aging provides sufficient but abnormal blood production, and animals experience a decline in immune function. Previous studies from our lab established that the DNA methyltransferase 3a (Dnmt3a) enables efficient differentiation by critically regulating epigenetic silencing of HSC genes (Challen et al. 2012) Interestingly, Dnmt3a expression is decreased in old HSCs, leading us to hypothesize that epigenetic changes in old HSCs may partially mimic the changes seen in Dnmt3a mutant HSCs. We propose that revealing the genome-wide DNA methylation and transcriptome signatures will lead to a greater understanding of HSC aging and MDS, which is characterized by frequent epigenetic abnormalities. In this study, we investigated genome-wide DNA methylation and transcripts by whole genome bisulfite sequencing (WGBS) and transcriptome sequencing (mRNA-seq)in young and old HSCs. For WGBS, we generated ∼600M raw reads resulting in ∼ 60 raw Gb of paired-end sequence data and aligned them to either strand of the reference genome (mm9), providing an average 40-fold sequencing depth. Globally, there was a 1.1% difference in the DNA methylation between young and old HSCs. Of these differences, 38% (172,609) of the CpG dinucleotides were hypo-methylated, and 62% (275,557) were hyper-methylated in old HSCs. To understand where the methylation changes predominantly occurred, the genome was subdivided into 77 features. Among these features, SINEs, especially Alu elements, exhibited the highest level of DNA methylation (90.94% in young HSCs, and 91.87% in old HSCs). CpG islands (CGIs) adjacent to the transcription start sites (TSS) exhibited the lowest level of DNA methylation (2.02% in young HSCs, and 2.11% in old HSCs). Interestingly strong hypo-methylation was observed in ribosomal RNA regions (68.04% in young HSCs, 59.04% in old HSCs), and hyper-methylation was observed in LINEL1 repetitive elements (88.62% in young HSCs, 90.12% in old HSCs). Moreover, the examination of differentially methylated promoters identified enrichment of developmentally important transcription factors such as Gata2, Runx1, Gfi1b, Erg, Tal1 Eto2, Cebpa and Pu.1. Additionally, we compare our ∼10,000 differentially methylation regions (DMRs, regions with clustered DNA methylation changes) with a chip-seq data set containing binding of 160 ChIP-seq analyses of hematopoietic transcription factors in different hematopoietic cells. We found significant overlaps between DMRs and transcription factor binding regions. We found DMRs which were hypermethylated showed association with differentiation-promoting Ets factors, in particular Pu.1 from a range of different blood cell types. In contrast, hypomethylated DMRs showed associations with HSC-associated transcription factors such as Scl and Gata2. Further examination of the differentially methylated gene bodies, intragenic and intergenic DMRs identified some previously noted targets for epigenetic silencing or alteration in AML and also novel transcripts including long non-coding RNAs (lincRNA) and upstream regulatory elements (URE). We found significant correlation between RNA-seq expression and DMRs within +1kb upstream of TSS. RNA-sequencing provided complementary and distinct information about HSC aging. We identified differentially expressed genes, novel RNA transcripts, differential promoter, coding sequence, and splice variant usage with age. Gene set enrichment analysis of up- and down- regulated genes, revealed ribosomal protein and RNA metabolism as critical contributors to HSC aging. In conclusion, our study marks a milestone in the mouse HSC epigenome, reporting the first complete methylome and transcriptome of pure HSC using whole-genome bisulfite sequencing and RNA-seq. These provide novel information about the magnitude and specificity of age-related epigenetic changes in a well-defined HSC population. Understanding the roles of DNA methylation and transcription in normal HSC function will allow for greater therapeutic exploitation of HSCs in the clinic. Disclosures: No relevant conflicts of interest to declare.


2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Tianyuan Lu ◽  
Kathleen Oros Klein ◽  
Inés Colmegna ◽  
Maximilien Lora ◽  
Celia M. T. Greenwood ◽  
...  

Abstract Background Systemic sclerosis (SSc) is a rare autoimmune connective tissue disease whose pathogenesis remains incompletely understood. Increasing evidence suggests that both genetic susceptibilities and changes in DNA methylation influence pivotal biological pathways and thereby contribute to the disease. The role of DNA methylation in SSc has not been fully elucidated, because existing investigations of DNA methylation predominantly focused on nucleotide CpGs within restricted genic regions, and were performed on samples containing mixed cell types. Methods We performed whole-genome bisulfite sequencing on purified CD4+ T lymphocytes from nine SSc patients and nine controls in a pilot study, and then profiled genome-wide cytosine methylation as well as genetic variations. We adopted robust statistical methods to identify differentially methylated genomic regions (DMRs). We then examined pathway enrichment associated with genes located in these DMRs. We also tested whether changes in CpG methylation were associated with adjacent genetic variation. Results We profiled DNA methylation at more than three million CpG dinucleotides genome-wide. We identified 599 DMRs associated with 340 genes, among which 54 genes exhibited further associations with adjacent genetic variation. We also found these genes were associated with pathways and functions that are known to be abnormal in SSc, including Wnt/β-catenin signaling pathway, skin lesion formation and progression, and angiogenesis. Conclusion The CD4+ T cell DNA cytosine methylation landscape in SSc involves crucial genes in disease pathogenesis. Some of the methylation patterns are also associated with genetic variation. These findings provide essential foundations for future studies of epigenetic regulation and genome-epigenome interaction in SSc.


2020 ◽  
Author(s):  
Suhua Feng ◽  
Zhenhui Zhong ◽  
Ming Wang ◽  
Steven E. Jacobsen

Abstract Background: 5’ methylation of cytosines in DNA molecules is an important epigenetic mark in eukaryotes. Bisulfite sequencing is the gold standard of DNA methylation detection, and whole-genome bisulfite sequencing (WGBS) has been widely used to detect methylation at single-nucleotide resolution on a genome-wide scale. However, sodium bisulfite is known to severely degrade DNA, which, in combination with biases introduced during PCR amplification, leads to unbalanced base representation in the final sequencing libraries. Enzymatic conversion of unmethylated cytosines to uracils can achieve the same end product for sequencing as does bisulfite treatment and does not affect the integrity of the DNA; enzymatic methylation sequencing may thus provide advantages over bisulfite sequencing.Results: Using an enzymatic methyl-seq (EM-seq) technique to selectively deaminate unmethylated cytosines to uracils, we generated and sequenced libraries based on different amounts of Arabidopsis input DNA and different numbers of PCR cycles, and compared these data to results from traditional whole genome bisulfite sequencing. We found that EM-seq libraries were more consistent between replicates and had higher mapping and lower duplication rates, lower background noise, higher average coverage, and higher coverage of total cytosines. Differential methylation region (DMR) analysis showed that WGBS tended to over-estimate methylation levels especially in CHG and CHH contexts, whereas EM-seq detected higher CG methylation levels in certain highly methylated areas. These phenomena can be mostly explained by a correlation of WGBS methylation estimation with GC content and methylated cytosine density. We used EM-seq to compare methylation between leaves and flowers, and found that CHG methylation level is greatly elevated in flowers, especially in pericentromeric regions. Conclusion: We suggest that EM-seq is a more accurate and reliable approach than WGBS to detect methylation. Compared to WGBS, the results of EM-seq are less affected by differences in library preparation conditions or by the skewed base composition in the converted DNA. It may therefore be more desirable to use EM-seq in methylation studies.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3755-3755
Author(s):  
Ellie Wilson ◽  
Nichole Helton ◽  
Catrina Fronick ◽  
Robert Fulton ◽  
John S. Welch ◽  
...  

Mutations in IDH1, IDH2, and TET2 occur in more than 30% of AML patients, and are thought to contribute to leukemogenesis by disrupting TET2-mediated DNA demethylation, either directly or indirectly. While IDH1/2 and TET2 mutations are both predicted to result in hypermethylation, the specific methylation changes associated with these mutations are poorly understood. Additionally, we recently showed that CpG island (CGI) hypermethylation is common across virtually all AML subtypes, and it has been yet unclear whether IDH or TET2 hypermethylation is distinct from these 'generic', AML-associated changes. To investigate genome-wide methylation in IDH and TET2 mutated AML samples, we performed whole genome bisulfite sequencing (WBGS) on 15 primary AML samples with canonical IDH mutations (IDH1R132C, N=6; IDH1R132G, N=1; IDH2R140Q, N=7; and IDH2R172K, N=1) and 9 samples with biallelic loss-of-function mutations in TET2. These data were analyzed with WGBS data from primary CD34+ hematopoietic stem/progenitor cells (HSPCs) from 6 normal adult bone marrow donors, and 39 additional primary AML samples (representing 9 AML mutational categories) to define the methylation phenotypes specifically associated with IDH and/or TET2 mutations. Differential methylation analysis of each AML subtype vs. HSPCs identified a mean of 8,622 (53,73-13,773) AML-associated Differentially Methylated Regions (DMRs) in each mutational category (mean size: 986 bp), of which 6% to 97% were hypermethylated in the AML samples vs. HSPCs. IDH-mutant AML samples were the most hypermethylated subtype, with 97% of the 6,392 identified DMRs having increased methylation compared to HSPCs. The TET2-mutant samples were hypermethylated at fewer loci, representing 71% of the 5,892 identified DMRs vs HSPCs. Analysis of all AML subtypes demonstrated that 55% (16,275/29,534) of identified DMRs were shared across multiple subtypes, with more pronounced overlap among hypermethylated DMRs (>70%). To distinguish mutation-specific changes in IDH and TET2 mutated AMLs from commonly hypermethylated loci across AML subtypes, we conducted a joint analysis of either IDH or TET2 mutant AMLs with data from all other AML samples and normal HSPCs. We performed hierarchical clustering of the methylation values at each DMR, and used the clustering topology to identify DMRs where the single outlier branch represented either the IDH or TET2 AML samples. We identified 2,024 DMRs (mean size: 998 bp) specific to IDH mutant AML samples, of which 100% were hypermethylated with respect to normal HSPCs (mean DMR b value of 0.60 vs 0.35 in HSPCs). IDH outlier DMRs were enriched for functional genomic elements relative to the set of commonly hypermethylated loci, including CGIs (65% of DMRs; 2.4-fold enrichment) and potential enhancers marked by H3K27ac in HSPCs (82% of DMRs; 1.4-fold enrichment); overlap with promoter regions was reduced (20% of DMRs; 0.77-fold decrease). Outlier analysis of TET2 mutated samples demonstrated that most changes were also present in other AML types, with only 93 unique DMRs (mean size 552 bp), and a subtler hypermethylation phenotype (83% of DMRs were hypermethylated, with a mean b value of 0.51 vs. 0.32 in HSPCs). TET2 DMRs were also enriched for overlap with CGIs with respect to background, but to a lesser extent than IDH outliers (52% of DMRs; 1.9-fold). Intersection of IDH and TET2-associated DMRs showed that TET2-specific DMRs represented a subset of IDH hypermethylated regions, with 60% of TET2 DMRs overlapping a DMR independently identified in the IDH samples. Conversely, the vast majority of IDH outliers (97%) were identified only in IDH mutated AMLs. This comprehensive, genome-wide analysis demonstrates that IDH mutations result in a clear hypermethylation phenotype in primary AML samples that is far more expansive than the observed TET2-associated methylation changes. IDH-specific methylation changes were enriched for CGIs located outside of promoters and were distinct from the AML-associated CGI hypermethylation that occurs in other AML subtypes. TET2 mutations were associated with far fewer hypermethylated DMRs, and only a small fraction of mutation-specific changes occurred in bothIDH and TET2 samples. Our results demonstrate that the methylation phenotypes of IDH and TET2 mutant AML samples do not phenocopy, and suggest that IDH-associated hypermethylation must have a TET2-independent component. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Author(s):  
Tianyuan Lu ◽  
Kathleen Oros Klein ◽  
Inés Colmegna ◽  
Maximilien Lora ◽  
Celia M.T. Greenwood ◽  
...  

Abstract Background Systemic sclerosis (SSc) is a rare autoimmune connective tissue disease whose pathogenesis remains incompletely understood. Increasing evidence suggests that both genetic susceptibilities and changes in DNA methylation influence pivotal biological pathways and thereby contribute to the disease. The role of DNA methylation in SSc has not been fully elucidated, because existing investigations of DNA methylation predominantly focused on nucleotide CpGs within restricted genic regions, and were performed on samples containing mixed cell types. Methods We performed whole-genome bisulfite sequencing on purified CD4+ T lymphocytes from nine SSc patients and nine controls in a pilot study, and then profiled genome-wide cytosine methylation as well as genetic variations. We adopted robust statistical methods to identify differentially methylated genomic regions (DMRs). We then examined pathway enrichment associated with genes located in these DMRs. We also tested whether changes in CpG methylation were associated with adjacent genetic variation. Results We profiled DNA methylation at more than three million CpG dinucleotides genome-wide. We identified 599 DMRs associated with 340 genes, among which 54 genes exhibited further associations with adjacent genetic variation. We also found these genes were associated with pathways and functions that are known to be abnormal in SSc, including Wnt/-catenin signaling pathway, skin lesion formation and progression, and angiogenesis. Conclusion The CD4+ T cell DNA cytosine methylation landscape in SSc involves crucial genes in disease pathogenesis. Some of the methylation patterns are also associated with genetic variation. These findings provide essential foundations for future studies of epigenetic regulation and genome-epigenome interaction in SSc.


2019 ◽  
Author(s):  
Tianyuan Lu ◽  
Kathleen Oros Klein ◽  
Inés Colmegna ◽  
Maximilien Lora ◽  
Celia M.T. Greenwood ◽  
...  

Abstract Background Systemic sclerosis (SSc) is a rare autoimmune connective tissue disease whose pathogenesis remains incompletely understood. Increasing evidence suggests that both genetic susceptibilities and changes in DNA methylation influence pivotal biological pathways and thereby contribute to the disease. The role of DNA methylation in SSc has not been fully elucidated, because existing investigations of DNA methylation predominantly focused on nucleotide CpGs within restricted genic regions, and were performed on samples containing mixed cell types. Methods We performed whole-genome bisulfite sequencing on purified CD4+ T lymphocytes from nine SSc patients and nine controls in a pilot study, and then profiled genome-wide cytosine methylation as well as genetic variations. We adopted robust statistical methods to identify differentially methylated genomic regions (DMRs). We then examined pathway enrichment associated with genes located in these DMRs. We also tested whether changes in CpG methylation were associated with adjacent genetic variation. Results We profiled DNA methylation at more than three million CpG dinucleotides genome-wide. We identified 599 DMRs associated with 340 genes, among which 54 genes exhibited further associations with adjacent genetic variation. We also found these genes were associated with pathways and functions that are known to be abnormal in SSc, including Wnt/-catenin signaling pathway, skin lesion formation and progression, and angiogenesis. Conclusion The CD4+ T cell DNA cytosine methylation landscape in SSc involves crucial genes in disease pathogenesis. Some of the methylation patterns are also associated with genetic variation. These findings provide essential foundations for future studies of epigenetic regulation and genome-epigenome interaction in SSc.


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