| Title |
Computational Identification of MicroRNAs and Their Targets from Finger Millet (Eleusinecoracana)
|
|---|---|
| Published in |
Interdisciplinary Sciences: Computational Life Sciences, October 2015
|
| DOI | 10.1007/s12539-015-0130-y |
| Pubmed ID | |
| Authors |
S. Usha, M. N. Jyothi, B. Suchithra, Rekha Dixit, D. V. Rai, R. Nagesh babu |
| Abstract |
MicroRNAs are endogenous small RNAs regulating intrinsic normal growth and development of plant. Discovering miRNAs, their targets and further inferring their functions had become routine process to comprehend the normal biological processes of miRNAs and their roles in plant development. In this study, we used homology-based analysis with available expressed sequence tag of finger millet (Eleusine coracana) to predict conserved miRNAs. Three potent miRNAs targeting 88 genes were identified. The newly identified miRNAs were found to be homologous with miR166 and miR1310. The targets recognized were transcription factors and enzymes, and GO analysis showed these miRNAs played varied roles in gene regulation. The identification of miRNAs and their targets is anticipated to hasten the pace of key epigenetic regulators in plant development. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Researcher | 2 | 18% |
| Student > Bachelor | 2 | 18% |
| Student > Doctoral Student | 1 | 9% |
| Lecturer | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 45% |
| Biochemistry, Genetics and Molecular Biology | 3 | 27% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 July 2017.
All research outputs
#17,776,263
of 22,831,537 outputs
Outputs from Interdisciplinary Sciences: Computational Life Sciences
#147
of 294 outputs
Outputs of similar age
#191,244
of 283,725 outputs
Outputs of similar age from Interdisciplinary Sciences: Computational Life Sciences
#3
of 5 outputs
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