Ontology highlight
ABSTRACT:
PROVIDER: PRJNA757590 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15674000_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR15674306_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR15668617_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR15674636_subreads.fastq.gz | Fastqsanger.gz | |||
| SRR15674585_subreads.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: The root hair is a model for understanding evolution of individual cell differentiation programs in plants. We compare the expression of the genes that participate in root hair development between Arabidopsis and other vascular plants to assess the conservation/diversification of the root hair development programs in vascular plants. Methods: We used RNA-Seq, in triplicates, to measure the genome-wide transcription activity of the root-hair cells isolated by Fluorescence-activated cell sorting (FACS) in Arabidopsis (COBL9::GFP transgeneic line, AtRH) and rice (EXPA30::GFP transgenic line, OsRH). We also generated RNA-Seq data, in triplicates, on the Arabidopsis rhd6 WER::GFP and WT WER::GFP by FACS to identify the RHD6-regulating root hair morphogenesis genes (AtRHM). For Arabidopsis, rice, tomato, soybean, cucumber and maize, we used RNA-seq, in triplicates, to measure genome-wide transcription activity of root hair cells filtered by sieves after stirred in liquid nitrogen (HAIR genes). Each sample was trimmed to retain high-quality reads, mapped to the reference genome by TopHat, and quantified by Cufflinks. The number of raw reads of Arabidopsis rhd6 WER::GFP and WT WER::GFP sample was counted by HTSeq and analyzed by edgeR to identify the differentially expressed genes. Results: We defined the root-hair transcriptome in diverse vascular plant species and analyzed the relative conservation/divergence in the expression of a large set of gene families.
2017-05-11 | GSE85516 | GEO
Project description:To identify more targets in soybean, particularly specific targets of Cd-stress-responsive miRNAs, high-throughput degradome sequencing was used. In total, we obtained 8913111 raw reads from the library which was constructed from a mixture of four samples (HX3-CK, HX3-Cd-treatment, ZH24-CK and ZH24-Cd-treatment). After removing the reads without the CAGAG adaptor, 5430126 unique raw-reads were obtained. The unique sequences were aligned to the G. max genome database, and 6516276 reads were mapped to the genome. The mapped reads from the libraries represented 51481 annotated G. max genes. Identification of miRNA targerts in soybean roots
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Project description:Soybean and maize rhizosphere 16S rRNA raw sequence reads
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Project description:The lack of MIRNA set and genome sequence of O. rufipogon (the ancestor of the cultivated rice) has limited to answer the role of MIRNA genes in rice domestication. In this study, a genome, three small RNA populations and a degradome of O.rufipogon were sequenced by Illumina platform and miRNA expression were investigated by miRNA chips. A de novo genome was assembled using ~55x coverage of raw sequencing data and a total of 387 MIRNAs were identified in the O. rufipogon genome based on ~5.2 million unique small RNA reads from three different tissues of O. rufipogon. Of these O. rufipogon MIRNAs, 259 were not found in the cultivated rice, suggesting loss of these MIRNAs in the cultivated rice. We also found that 48 MIRNAs were novel in the cultivated rice, suggesting that they were potential targets of domestication selection. Some miRNAs showed significant expression difference in the wild and cultivated rice, suggesting that expression of miRNA could also be a target of domestication, as demonstrated for the miR164 family. Our results illustrated MIRNA genes, like protein-coding genes, were significantly shaped during rice domestication and could be one of the driven forces contributed to rice domestication.
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Project description:In this work, we performed high throughput sequencing of small RNA libraries in maize (Zea mays ssp. mays) and teosinte (Zea mays ssp. parviglumis) to investigate the response mediated by miRNAs in these plants under control conditions, submergence, drought and alternated drought-submergence or submergence-drought stress. After Illumina sequencing of 8 small RNA libraries, we obtained from 16,139,354 to 46,522,229 raw reads across the libraries. Bioinformatic analysis identified 88 maize miRNAs and 76 miRNAs from other plants differentially expressed in maize and/or in teosinte in response to at least one of the treatments, and revealed that a larger set of miRNAs were regulated in maize than in teosinte in response to submergence and drought stress.
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