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-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.
| Main Authors: | , , , , , , , , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Subjects: | LYCOPERSICON ESCULENTUM, MAGNOLIOPHYTA, SOLANACEAE, |
| Online Access: | http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=46663 |
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| Summary: | 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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