MiSolRNA a tomato micro RNA relational database

Background: The economic importance of Solanaceae plant species is well documented and tomato has become a model for functional genomics studies. In plants, important processes are regulated by microRNAs [miRNA]. Description: We describe here a data base integrating genetic map positions of miRNA-ta...

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Otros Autores: Bazzini, Ariel A., Asís, Ramón, González, Virginia, Bassi, Sebastián, Conte, Mariana, Soria, Marcelo Abel, Fernie, Alisdair R., Asurmendi, Sebastián, Carrari, Fernando
Formato: Artículo
Lenguaje:Inglés
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Acceso en línea:http://ri.agro.uba.ar/files/download/articulo/2010Bazzini.pdf
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Sumario:Background: The economic importance of Solanaceae plant species is well documented and tomato has become a model for functional genomics studies. In plants, important processes are regulated by microRNAs [miRNA]. Description: We describe here a data base integrating genetic map positions of miRNA-targeted genes, their expression profiles and their relations with quantitative fruit metabolic loci and yield associated traits. miSolRNA provides a metadata source to facilitate the construction of hypothesis aimed at defining physiological modes of action of regulatory process underlying the metabolism of the tomato fruit. Conclusions: The MiSolRNA database allows the simple extraction of metadata for the proposal of new hypothesis concerning possible roles of miRNAs in the regulation of tomato fruit metabolism. It permits i] to map miRNAs and their predicted target sites both on expressed [SGN-UNIGENES] and newly annotated sequences [BAC sequences released], ii] to co-locate any predicted miRNA-target interaction with metabolic QTL found in tomato fruits, iii] to retrieve expression data of target genes in tomato fruit along their developmental period and iv] to design further experiments for unresolved questions in complex trait biology based on the use of genetic materials that have been proven to be a useful tools for map-based cloning experiments in Solanaceae plant species.
ISSN:1471-2229