Eugenia brasiliensis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA703065 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13781755_1.fastq.gz | Fastqsanger.gz | |||
| SRR13781755_2.fastq.gz | Fastqsanger.gz |
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Project description:We first report the use of next-generation massively parallel sequencing technologies and de novo transcriptome assembly to gain insight into the wide range of transcriptome of Hevea brasiliensis. The output of sequenced data showed that more than 12 million sequence reads with average length of 90nt were generated. Totally 48,768 unigenes (mean size = 488 bp) were assembled through transcriptome de novo assembly, which represent more than 3-fold of all the sequences of Hevea brasiliensis deposited in the GenBank. Assembled sequences were annotated with gene descriptions, gene ontology and clusters of orthologous group terms. Total 37,373 unigenes were successfully annotated and more than 10% of unigenes were aligned to known proteins of Euphorbiaceae. The unigenes contain nearly complete collection of known rubber-synthesis-related genes. Our data provides the most comprehensive sequence resource available for study rubber tree and demonstrates the availability of Illumina sequencing and de novo transcriptome assembly in a species lacking genome information. The transcriptome of latex and leaf in Hevea brasiliensis
2011-09-01 | E-GEOD-26514 | biostudies-arrayexpress
Project description:miRNAs are small non-coding regulatory RNAs that play important functions in the regulation of gene expression at the post-transcriptional level by targeting mRNAs for degradation or by inhibiting protein translation. Eugenia uniflora is a plant native to tropical America with pharmacological and ecological importance without previous studies about its gene expression and regulation. To date, there is not miRNAs reported in species of Myrtaceae. A small RNA library was constructed to identify miRNAs in Eugenia uniflora. Solexa technology was used to perform high throughput sequencing of the library and the data obtained was analysed using bioinformatics tools. From 14,489,131 clean reads, we obtained 1,852,722 small RNAs representing 45 known miRNA families that have been identified in other plant species. Further analysis using contigs assembled from Illumina mRNA sequencing of leaves from the same individual allowed the prediction of secondary structures of 25 known and 17 novel miRNAs. Potential targets were predicted for the most abundant mature miRNAs in the identified pre-miRNAs based on sequence homology. This study provide the first large scale identification of miRNAs and their potential targets of a species from Myrtaceae without previous genomic sequence resources. Our study provides more information about the evolutionary conservation of the regulatory network of miRNAs in plants and highlights the miRNAs species-specific. mRNA profiles in 1 leaf library of Eugenia uniflora by deep sequencing (Illumina HiSeq2000)
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Project description:miRNAs are small non-coding regulatory RNAs that play important functions in the regulation of gene expression at the post-transcriptional level by targeting mRNAs for degradation or by inhibiting protein translation. Eugenia uniflora is a plant native to tropical America with pharmacological and ecological importance without previous studies about its gene expression and regulation. To date, there is not miRNAs reported in species of Myrtaceae. A small RNA library was constructed to identify miRNAs in Eugenia uniflora. Solexa technology was used to perform high throughput sequencing of the library and the data obtained was analysed using bioinformatics tools. From 14,489,131 clean reads, we obtained 1,852,722 small RNAs representing 45 known miRNA families that have been identified in other plant species. Further analysis using contigs assembled from Illumina mRNA sequencing of leaves from the same individual allowed the prediction of secondary structures of 25 known and 17 novel miRNAs. Potential targets were predicted for the most abundant mature miRNAs in the identified pre-miRNAs based on sequence homology. This study provide the first large scale identification of miRNAs and their potential targets of a species from Myrtaceae without previous genomic sequence resources. Our study provides more information about the evolutionary conservation of the regulatory network of miRNAs in plants and highlights the miRNAs species-specific. microRNA profiles in 1 leaf library of Eugenia uniflora by deep sequencing (Illumina HiSeq2000)
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