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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...

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Related Experiment Video

Updated: Jun 6, 2026

mirMachine: A One-Stop Shop for Plant miRNA Annotation

mirMachine: A One-Stop Shop for Plant miRNA Annotation

Published on: May 1, 2021

miSolRNA: A tomato micro RNA relational database.

Ariel A Bazzini¹, Ramón Asís, Virginia González

¹Instituto de Biotecnología, Instituto Nacional de Tecnología Agropecuaria (Partner group of Institution 5), Castelar, Argentina.

BMC Plant Biology

|November 10, 2010

Summary

The miSolRNA database integrates tomato microRNA (miRNA) gene targets with fruit metabolism data. This resource aids researchers in forming new hypotheses about miRNA roles in tomato fruit development and metabolism.

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A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

Published on: January 21, 2020

Area of Science:

Plant genomics
Molecular biology
Agricultural science

Background:

Solanaceae plant species, particularly tomato, are economically significant and serve as models for functional genomics.
MicroRNAs (miRNAs) are key regulators of essential processes in plants.

Purpose of the Study:

To describe the miSolRNA database, a resource for studying miRNA functions in tomato fruit metabolism.
To facilitate hypothesis generation regarding the physiological roles of regulatory processes in tomato fruit.

Main Methods:

Integrated genetic map positions of miRNA-targeted genes with their expression profiles.
Related gene data with quantitative fruit metabolic loci and yield-associated traits.
Developed miSolRNA as a metadata source.

Main Results:

The miSolRNA database enables mapping of miRNAs and predicted target sites on various tomato sequences.
It allows co-localization of miRNA-target interactions with metabolic QTL in tomato fruits.
Expression data for target genes during fruit development can be retrieved.

Conclusions:

miSolRNA facilitates hypothesis proposal on miRNA roles in tomato fruit metabolism regulation.
The database supports experimental design for complex trait biology using map-based cloning tools in Solanaceae.