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mirMachine: A One-Stop Shop for Plant miRNA Annotation
Published on: May 1, 2021
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MicroRNA Identification, Target Prediction, and Validation for Crop Improvement
Vrantika Chaudhary1, Sumit Jangra1,2, Apurva Mishra3
1Department of Molecular Biology, Biotechnology, and Bioinformatics, CCS Haryana Agricultural University, Hisar, India.
Methods in Molecular Biology (Clifton, N.J.)
|January 23, 2023
Summary
Identifying plant micro-RNAs (miRNAs) is streamlined using a novel in silico method. This approach accelerates the discovery of regulatory elements crucial for plant growth and development across diverse species.
Area of Science:
- Plant molecular biology
- Genomics
- Bioinformatics
Background:
- Micro-RNAs (miRNAs) are key regulators of plant growth, development, and metabolism.
- Traditional in vitro isolation of plant miRNAs is time-consuming and challenging.
- Conserved nucleotide sequences of miRNAs enable identification via homologous approaches.
Purpose of the Study:
- To introduce a faster and more reliable in silico method for identifying plant miRNAs.
- To develop miRNA-SSR markers for genetic studies.
- To facilitate gene expression regulation research in various plant species.
Main Methods:
- Utilized an in silico approach for miRNA identification from EST databases.
- Employed homologous approaches leveraging conserved miRNA nucleotide sequences.
- Developed miRNA-SSR markers.
Main Results:
- Demonstrated an efficient in silico method for plant miRNA identification.
- Successfully developed miRNA-SSR markers.
- Established a reliable approach for discovering regulatory elements.
Conclusions:
- The in silico method significantly accelerates plant miRNA identification compared to in vitro techniques.
- This approach enhances the study of gene expression regulation in plants.
- The method is applicable to a wide range of plant species, including crops and orphan crops.
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