MiSolRNA : A tomato micro RNA relational database

• Autores: Bazzini, Ariel A.; Asís, Ramón; González, Virginia; Bassi, Sebastián; Conte, Mariana; Soria, Marcelo Abel; Fernie, Alisdair R.; Asurmendi, Sebastián; Carrari, Fernando
• Año de publicación: 2010
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: BMC Plant Biology; Vol.10; 10:240; http://www.biomedcentral.com/
• Materia: LYCOPERSICON ESCULENTUM; MAGNOLIOPHYTA; SOLANACEAE
• Institución: Universidad de Buenos Aires. Facultad de Agronomía

Fil: Bazzini, Ariel A. Instituto Nacional de Tecnología Agropecuaria. Instituto de Biotecnología (IB-INTA). Castelar, Buenos Aires, Argentina.
Fil: Asís, Ramón. Instituto Nacional de Tecnología Agropecuaria. Instituto de Biotecnología (IB-INTA). Castelar, Buenos Aires, Argentina.
Fil: Asís, Ramón. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. CIBICI. Haya de la Torre y Medina Allende, Córdoba, Argentina.
Fil: González, Virginia. Genes digitales Bioinformatic group. Argentina.
Fil: Bassi, Sebastián. Genes digitales Bioinformatic group. Argentina.
Fil: Conte, Mariana. Instituto Nacional de Tecnología Agropecuaria. Instituto de Biotecnología (IB-INTA). Castelar, Buenos Aires, Argentina.
Fil: Soria, Marcelo Abel. Universidad de Buenos Aires. Facultad de Agronomía. Buenos Aires, Argentina.
Fil: Fernie, Alisdair R. Max Planck Institute for Molecular Plant Physiology. Wissenschaftspark Golm. Am Mühlenberg 1, Potsdam-Golm, D-14476, Germany.
Fil: Asurmendi, Sebastián. Instituto Nacional de Tecnología Agropecuaria. Instituto de Biotecnología (IB-INTA). Castelar, Buenos Aires, Argentina.
Fil: Carrari, Fernando. Instituto Nacional de Tecnología Agropecuaria. Instituto de Biotecnología (IB-INTA). Castelar, Buenos Aires, Argentina.
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.