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Genome-wide bisulphite-sequencing reveals organ-specific methylation patterns in chickpea.

ABSTRACT: DNA methylation is widely known to regulate gene expression in eukaryotes. Here, we unraveled DNA methylation patterns in cultivated chickpea to understand the regulation of gene expression in different organs. We analyzed the methylation pattern in leaf tissue of wild chickpea too, and compared it with cultivated chickpea. Our analysis indicated abundant CG methylation within gene-body and CHH methylation in intergenic regions of the chickpea genome in all the organs examined. Analysis of differentially methylated regions (DMRs) demonstrated a higher number of CG context DMRs in wild chickpea and CHH context DMRs in cultivated chickpea. We observed increased preponderance of hypermethylated DMRs in the promoter regions and hypomethylated DMRs in the genic regions in cultivated chickpea. Genomic location and context of the DMRs correlated well with expression of proximal genes. Our results put forth a positive correlation of promoter hypermethylation with increased transcript abundance via identification of DMR-associated genes involved in flower development in cultivated chickpea. The atypical correlation observed between promoter hypermethylation and increased transcript abundance might be dependent on 24-nt small RNAs and transcription factors binding to the promoter region. This study provides novel insights into DNA methylation patterns in chickpea and their role in regulation of gene expression.

SUBMITTER: Bhatia H

PROVIDER: S-EPMC6018830 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Genome-wide bisulphite-sequencing reveals organ-specific methylation patterns in chickpea.

Bhatia Himanshi H Khemka Niraj N Jain Mukesh M Garg Rohini R

Scientific reports 20180626 1

DNA methylation is widely known to regulate gene expression in eukaryotes. Here, we unraveled DNA methylation patterns in cultivated chickpea to understand the regulation of gene expression in different organs. We analyzed the methylation pattern in leaf tissue of wild chickpea too, and compared it with cultivated chickpea. Our analysis indicated abundant CG methylation within gene-body and CHH methylation in intergenic regions of the chickpea genome in all the organs examined. Analysis of diffe ...[more]

PMID: 29946142

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Project description:Chickpea (Cicer arietinum L.) is the second most important grain legume cultivated by resource poor farmers in South Asia and Sub-Saharan Africa. In order to harness the untapped genetic potential available for chickpea improvement, we re-sequenced 35 chickpea genotypes representing parental lines of 16 mapping populations segregating for abiotic (drought, heat, salinity), biotic stresses (Fusarium wilt, Ascochyta blight, Botrytis grey mould, Helicoverpa armigera) and nutritionally important (protein content) traits using whole genome re-sequencing approach.A total of 192.19 Gb data, generated on 35 genotypes of chickpea, comprising 973.13 million reads, with an average sequencing depth of ~10 X for each line. On an average 92.18 % reads from each genotype were aligned to the chickpea reference genome with 82.17 % coverage. A total of 2,058,566 unique single nucleotide polymorphisms (SNPs) and 292,588 Indels were detected while comparing with the reference chickpea genome. Highest number of SNPs were identified on the Ca4 pseudomolecule. In addition, copy number variations (CNVs) such as gene deletions and duplications were identified across the chickpea parental genotypes, which were minimum in PI 489777 (1 gene deletion) and maximum in JG 74 (1,497). A total of 164,856 line specific variations (144,888 SNPs and 19,968 Indels) with the highest percentage were identified in coding regions in ICC 1496 (21 %) followed by ICCV 97105 (12 %). Of 539 miscellaneous variations, 339, 138 and 62 were inter-chromosomal variations (CTX), intra-chromosomal variations (ITX) and inversions (INV) respectively.Genome-wide SNPs, Indels, CNVs, PAVs, and miscellaneous variations identified in different mapping populations are a valuable resource in genetic research and helpful in locating genes/genomic segments responsible for economically important traits. Further, the genome-wide variations identified in the present study can be used for developing high density SNP arrays for genetics and breeding applications.

Project description:BackgroundMarfan syndrome (MFS) is a connective tissue disorder caused by mutations in the Fibrillin-1 gene (FBN1). Here, we undertook the first epigenome-wide association study (EWAS) in patients with MFS aiming at identifying DNA methylation loci associated with MFS phenotypes that may shed light on the disease process.MethodsThe Illumina 450 k DNA-methylation array was used on stored peripheral whole-blood samples of 190 patients with MFS originally included in the COMPARE trial. An unbiased genome-wide approach was used, and methylation of CpG-sites across the entire genome was evaluated. Additionally, we investigated CpG-sites across the FBN1-locus (15q21.1) more closely, since this is the gene defective in MFS. Differentially Methylated Positions (DMPs) and Differentially Methylated Regions (DMRs) were identified through regression analysis. Associations between methylation levels and aortic diameters and presence or absence of 21 clinical features of MFS at baseline were analyzed. Moreover, associations between aortic diameter change, and the occurrence of clinical events (death any cause, type-A or -B dissection/rupture, or aortic surgery) and methylation levels were analyzed.ResultsWe identified 28 DMPs that are significantly associated with aortic diameters in patients with MFS. Seven of these DMPs (25%) could be allocated to a gene that was previously associated with cardiovascular diseases (HDAC4, IGF2BP3, CASZ1, SDK1, PCDHGA1, DIO3, PTPRN2). Moreover, we identified seven DMPs that were significantly associated with aortic diameter change and five DMP's that associated with clinical events. No significant associations at p < 10-8 or p < 10-6 were found with any of the non-cardiovascular phenotypic MFS features. Investigating DMRs, clusters were seen mostly on X- and Y, and chromosome 18-22. The remaining DMRs indicated involvement of a large family of protocadherins on chromosome 5, which were not reported in MFS before.ConclusionThis EWAS in patients with MFS has identified a number of methylation loci significantly associated with aortic diameters, aortic dilatation rate and aortic events. Our findings add to the slowly growing literature on the regulation of gene expression in MFS patients.

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Genome-wide bisulphite-sequencing reveals organ-specific methylation patterns in chickpea.

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Genome-wide bisulphite-sequencing reveals organ-specific methylation patterns in chickpea.

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