Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1217025 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR32173728_1.fastq.gz | Fastqsanger.gz | |||
| SRR32173728_2.fastq.gz | Fastqsanger.gz | |||
| SRR32173729_1.fastq.gz | Fastqsanger.gz | |||
| SRR32173729_2.fastq.gz | Fastqsanger.gz | |||
| SRR32173730_1.fastq.gz | Fastqsanger.gz |
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Project description:The analysis of gene expression during wheat development: Gene expression measurements were carried out on a developmental tissue series for wild-type wheat (cv. Chinese Spring) using the Affymetrix Wheat GeneChip. Thirteen tissues at defined developmental stages were chosen to match the barley (cv. Morex) tissue series of Druka et al. 2006 that used the Affymetrix Barley1 GeneChip. Three replicates of: root tissue at two different developmental stages, leaf, crown, caryopsis, anther, pistil, inflorescence, bracts, mesocotyl, endosperm, embryo and coleoptiles were hybridised. Comparisons between this wheat data and the barley dataset were performed and are available at http://contigcomp.acpfg.com.au [PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Tim Sutton. The equivalent experiment is TA3 at PLEXdb.]
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Project description:Background: MicroRNAs regulate various biological processes in plants. Considerable data are available on miRNAs involved in the development of rice, maize and barley. In contrast, little is known about miRNAs and their functions in the development of wheat. In this study, five small RNA (sRNA) libraries from wheat seedlings, flag leaves, and developing seeds were developed and sequenced to identify miRNAs and understand their functions in wheat development. Results: Twenty-four known miRNAs belonging to 15 miRNA families were identified from 18 MIRNA loci in wheat in the present study, including 15 (9 MIRNA loci) first identified in wheat, 13 miRNA families (16 MIRNA loci) being highly conserved and 2 (2 MIRNAs loci) moderately conserved. In addition, fifty-five novel miRNAs were also identified. The potential target genes for 15 known miRNAs and 37 novel miRNAs were predicted using strict criteria, and these target genes are involved in a wide range of biological functions. Four of the 15 known miRNA families and 22 of the 55 novel miRNAs were preferentially expressed in the developing seeds with logarithm of the fold change of 1.0～7.6, and half of them were seed-specific, suggesting that they participate in regulating wheat seed development and metabolism. From 5 days post-anthesis to 20 days post-anthesis, miR164 and miR160 increased in abundance in developing seeds, whereas miR169 decreased, suggesting their coordinating functions in the different developmental stages of wheat seed. Moreover, eight known miRNA families and 28 novel miRNAs exhibited tissue-biased expression in wheat flag leaves, with the logarithm of the fold changes of 0.5～5.2. The putative targets of these tissue-preferential miRNAs were involved in various metabolism and biological processes, suggesting complexity of the regulatory networks in different tissues. Our data also suggested that wheat flag leaves have more complicated regulatory networks of miRNAs than developing seeds. Conclusions: Our work identified and characterised wheat miRNAs, their targets and expression patterns. This study is the first to elucidate the regulatory networks of miRNAs involved in wheat flag leaves and developing seeds, and provided a foundation for future studies on specific functions of these miRNAs.
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Project description:Micro-RNA sequencing of four different stages of spike in wheat
| PRJNA383333 | ENA