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: | , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Materias: | |
| Acceso en línea: | http://ri.agro.uba.ar/files/download/articulo/2010Bazzini.pdf LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 245 | 1 | 0 | |a MiSolRNA |b a tomato micro RNA relational database |
| 520 | |a 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. | ||
| 653 | 0 | |a LYCOPERSICON ESCULENTUM | |
| 653 | 0 | |a MAGNOLIOPHYTA | |
| 653 | 0 | |a SOLANACEAE | |
| 700 | 1 | |a Bazzini, Ariel A. |9 70038 | |
| 700 | 1 | |9 70039 |a Asís, Ramón | |
| 700 | 1 | |a González, Virginia |9 70040 | |
| 700 | 1 | |a Bassi, Sebastián |9 70041 | |
| 700 | 1 | |9 70031 |a Conte, Mariana | |
| 700 | 1 | |9 49057 |a Soria, Marcelo Abel | |
| 700 | 1 | |9 43717 |a Fernie, Alisdair R. | |
| 700 | 1 | |a Asurmendi, Sebastián |9 58193 | |
| 700 | 1 | |9 11158 |a Carrari, Fernando | |
| 773 | |t BMC Plant Biology |g Vol.10 (2010), p.2-7 | ||
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| 856 | |u http://www.biomedcentral.com/ |x MIGRADOS2018 |z LINK AL EDITOR | ||
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| 900 | |a ^aBazzini^bA.A.^tInstituto de BiotecnologÃa, Instituto Nacional de TecnologÃa Agropecuaria [IB-INTA], Partner group of Institution 5, P.O. BOX 25, B1712WAA Castelar, Argentina | ||
| 900 | |a ^aAsÃs^bR.^tCIBICI, Facultad de Ciencias QuÃmicas Universidad Nacional de Córdoba, CC 5000, Haya de la Torre y Medina Allende, Córdoba, Argentina | ||
| 900 | |a ^aGonzález^bV.^tGenes digitales Bioinformatic group, Argentina | ||
| 900 | |a ^aBassi^bS.^tFacultad de AgronomÃa, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 900 | |a ^aConte^bM.^tMax Planck Institute for Molecular Plant Physiology, Wissenschaftspark Golm, Am Mühlenberg 1, Potsdam-Golm, D-14476, Germany | ||
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| 900 | |a SOLANACEAE | ||
| 900 | |a 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. | ||
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