Genome-wide identification of microRNAs in pomegranate (Punica granatum L.) by high throughput sequencing
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Genome-wide identification of microRNAs in pomegranate (Punica granatum L.) by high throughput sequencing
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2016-02-25
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Novel and Conserved microRNAs in soybean floral whorls
MicroRNAs (miRNAs) are a class of endogenous small non-coding RNAs (19â24 nt) that regulates de gene expression, mainly through mRNA targets cleavage and translation inhibition. In plants, miRNAs ha
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Additional file 3: Table S3. of Genome-wide identification of soybean microRNA responsive to soybean cyst nematodes infection by deep sequencing
Novel miRNA prediction. A table of new miRNAs predicted by miRDeep2 with a score of one or greater. (XLSX 21Â kb)
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Additional file 1: of Identification and characterisation of microRNAs and their target genes in phosphate-starved Nicotiana benthamiana by small RNA deep sequencing and 5â RACE analysis
Table S1. Microsoft Excel Worksheet (.xlsx). sRNA deep sequencing read matches to predicted pri-miRNA hairpins. Table S2. Computationally predicted miRNA targets in N. benthamiana. Table S3. Top targe
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we performed microRNA deep sequencing, analyzed the microRNAs and revealed the function of the corresponding target genes, as the first step to understanding the role of microRNAs in S. officinarum. 268 candidate miRNAs were screened from sequencing microRNA library with the total RNA from sugarcane leaves using the RNA-seq ESTs of all tissue of Saccharum officinarum from our group， public sugarcane ESTs from NCBI and the reference sorghum genome from Phytozome V9. After further analysis, 43 homologous miRNAs and 9 novel miRNAs were identified. Out of the 52 miRNAs, 6 were randomly chosen and verified by qRT-PCR and the putative miRNA targets’ function was analyzed. The identification of miRNAs and their targets not only will enable to understand the roles of miRNAs in sugarcane development and growth, but also enhances the understanding of miRNA-dependent mechanisms in highly polyploid species. Identification and Characterization of microRNAs from Saccharum officinarum L by deep s
In modern sugarcane cultivars, around 70-80% of the genetic information originates from Saccharum officinarum, which contributed important sugar content traits. Although several studies have identifie
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