Zea mays
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA369253 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5218002.fastq.gz | Fastqsanger.gz | |||
| SRR5218003.fastq.gz | Fastqsanger.gz | |||
| SRR5218004.fastq.gz | Fastqsanger.gz | |||
| SRR5218005.fastq.gz | Fastqsanger.gz | |||
| SRR5218006.fastq.gz | Fastqsanger.gz |
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Project description:Most cells in a multicellular organism carry the same genetic information; however, they can still differentiate to take up different functions in the organism. This differentiation process involves tight regulation of gene expressions by regulatory sequences including transcriptional enhancers. Enhancers can be located distantly from their target genes; this characteristic makes it difficult to identify enhancers only using experimental approaches. Importantly, enhancers carry characteristic chromatin signatures such as low DNA methylation, high chromatin accessibility and histone modifications such as H3K9ac and H3K27ac. Computational enhancer identification approaches often use machine learning methods in combination with a number of experimental genome-wide datasets to identify key enhancers features and scans the whole genome. Limited knowledge on plant enhancers restricts us in available approaches we can use to perform genome-wide enhancer prediction in plant species. In this work, we have integrated genome-wide low DNA methylation, chromatin accessibility and H3K9ac data from two tissues, inner stem tissue (V2-IST) from seedlings at the V2 stage and husk tissue, in the crop plant Zea mays. This study identified approximately 1,400 candidate enhancers. By comparing data from two different tissues, we determined tissue-specificity of the candidate enhancers. We also have predicted putative target genes using gene expression data taking an advantage of having data from two tissues.
2017-07-03 | GSE94251 | GEO
Project description:Most cells in a multicellular organism carry the same genetic information; however, they can still differentiate to take up different functions in the organism. This differentiation process involves tight regulation of gene expressions by regulatory sequences including transcriptional enhancers. Enhancers can be located distantly from their target genes; this characteristic makes it difficult to identify enhancers only using experimental approaches. Importantly, enhancers carry characteristic chromatin signatures such as low DNA methylation, high chromatin accessibility and histone modifications such as H3K9ac and H3K27ac. Computational enhancer identification approaches often use machine learning methods in combination with a number of experimental genome-wide datasets to identify key enhancers features and scans the whole genome. Limited knowledge on plant enhancers restricts us in available approaches we can use to perform genome-wide enhancer prediction in plant species. In this work, we have integrated genome-wide low DNA methylation, chromatin accessibility and H3K9ac data from two tissues, inner stem tissue (V2-IST) from seedlings at the V2 stage and husk tissue, in the crop plant Zea mays. This study identified approximately 1,400 candidate enhancers. By comparing data from two different tissues, we determined tissue-specificity of the candidate enhancers. We also have associated putative target genes using gene expression data taking an advantage of having data from two tissues.
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Project description:Maize husk leaf - the outer leafy layers covering the ear - modulates kernel yield and quality. Despite its importance, however, the genetic controls underlying husk leaf development remain elusive. Our previous genome-wide association study identified a single nucleotide polymorphism located in the gene RHW1 (Regulator of Husk leaf Width) that is significantly associated with husk leaf-width diversity in maize. Here, we further demonstrate that a polymorphic 18-bp InDel (insertion/deletion) variant in the 3' untranslated region of RHW1 alters its protein abundance and accounts for husk leaf width variation. RHW1 encodes a putative MYB-like transcriptional repressor. Disruption of RHW1 altered cell proliferation and resulted in a narrower husk leaf, whereas RHW1 overexpression yielded a wider husk leaf. RHW1 positively regulated the expression of ZCN4, a well-known TFL1-like protein involved in maize ear development. Dysfunction of ZCN4 reduced husk leaf width even in the context of RHW1 overexpression. The InDel variant in RHW1 is subject to selection and is associated with maize husk leaf adaption from tropical to temperate regions. Overall, our results identify that RHW1-ZCN4 regulates a pathway conferring husk leaf width variation at a very early stage of husk leaf development in maize.
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2015-03-29 | E-MTAB-4246 | biostudies-arrayexpress
Project description:Genome-wide gene expression profile in inner stem tissue of V2 seedlings and husks (maize B73) [RNA-Seq]
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Project description:Inner stem tissue of V2 seedlings and husks (maize B73)
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Project description:Most cells in a multicellular organism carry the same genetic information; however, they can still differentiate to take up different functions in the organism. This differentiation process involves tight regulation of gene expressions by regulatory sequences including transcriptional enhancers. Enhancers can be located distantly from their target genes; this characteristic makes it difficult to identify enhancers only using experimental approaches. Importantly, enhancers carry characteristic chromatin signatures such as low DNA methylation, high chromatin accessibility and histone modifications such as H3K9ac and H3K27ac. Computational enhancer identification approaches often use machine learning methods in combination with a number of experimental genome-wide datasets to identify key enhancers features and scans the whole genome. Limited knowledge on plant enhancers restricts us in available approaches we can use to perform genome-wide enhancer prediction in plant species. In this work, we have integrated genome-wide low DNA methylation (Regulski et al., 2013, GSE39232), chromatin accessibility and H3K9ac data from two tissues, inner stem tissue in seedlings and husk tissue, in a crop plant Zea mays. This study identified approximately 1,400 candidate enhancers.
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Project description:Genome-wide identification of H3K9ac enriched regions in inner stem tissue of V2 seedlings and husks (maize B73) [ChIP-Seq]
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Project description:RNA-directed DNA methylation (RdDM) in plants is a well-characterized example of RNA interference-related transcriptional gene silencing. To determine the relationships between RdDM and heterochromatin in the repeat-rich maize (Zea mays) genome, we performed whole-genome analyses of several heterochromatic features: dimethylation of lysine 9 and lysine 27 (H3K9me2 and H3K27me2), chromatin accessibility, DNA methylation, and small RNAs; we also analyzed two mutants that affect these processes, mediator of paramutation1 and zea methyltransferase2.
2014-12-05 | E-MTAB-4191 | biostudies-arrayexpress
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