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      Comparative 454 pyrosequencing of transcripts from two olive genotypes during fruit development

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          Abstract

          Background

          Despite its primary economic importance, genomic information on olive tree is still lacking. 454 pyrosequencing was used to enrich the very few sequence data currently available for the Olea europaea species and to identify genes involved in expression of fruit quality traits.

          Results

          Fruits of Coratina, a widely cultivated variety characterized by a very high phenolic content, and Tendellone, an oleuropein-lacking natural variant, were used as starting material for monitoring the transcriptome. Four different cDNA libraries were sequenced, respectively at the beginning and at the end of drupe development. A total of 261,485 reads were obtained, for an output of about 58 Mb. Raw sequence data were processed using a four step pipeline procedure and data were stored in a relational database with a web interface.

          Conclusion

          Massively parallel sequencing of different fruit cDNA collections has provided large scale information about the structure and putative function of gene transcripts accumulated during fruit development. Comparative transcript profiling allowed the identification of differentially expressed genes with potential relevance in regulating the fruit metabolism and phenolic content during ripening.

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          Most cited references27

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          The ENZYME database in 2000.

          A Bairoch (2000)
          The ENZYME database is a repository of information related to the nomenclature of enzymes. In recent years it has became an indispensable resource for the development of metabolic databases. The current version contains information on 3705 enzymes. It is available through the ExPASy WWW server (http://www.expasy.ch/enzyme/ ).
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            Phytochemistry: ibuprofen-like activity in extra-virgin olive oil.

            Newly pressed extra-virgin olive oil contains oleocanthal--a compound whose pungency induces a strong stinging sensation in the throat, not unlike that caused by solutions of the non-steroidal anti-inflammatory drug ibuprofen. We show here that this similar perception seems to be an indicator of a shared pharmacological activity, with oleocanthal acting as a natural anti-inflammatory compound that has a potency and profile strikingly similar to that of ibuprofen. Although structurally dissimilar, both these molecules inhibit the same cyclooxygenase enzymes in the prostaglandin-biosynthesis pathway.
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              The Arabidopsis Information Resource (TAIR): a comprehensive database and web-based information retrieval, analysis, and visualization system for a model plant.

              Arabidopsis thaliana, a small annual plant belonging to the mustard family, is the subject of study by an estimated 7000 researchers around the world. In addition to the large body of genetic, physiological and biochemical data gathered for this plant, it will be the first higher plant genome to be completely sequenced, with completion expected at the end of the year 2000. The sequencing effort has been coordinated by an international collaboration, the Arabidopsis Genome Initiative (AGI). The rationale for intensive investigation of Arabidopsis is that it is an excellent model for higher plants. In order to maximize use of the knowledge gained about this plant, there is a need for a comprehensive database and information retrieval and analysis system that will provide user-friendly access to Arabidopsis information. This paper describes the initial steps we have taken toward realizing these goals in a project called The Arabidopsis Information Resource (TAIR) (www.arabidopsis.org).
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                Author and article information

                Journal
                BMC Genomics
                BMC Genomics
                BioMed Central
                1471-2164
                2009
                26 August 2009
                : 10
                : 399
                Affiliations
                [1 ]CNR – Institute of Plant Genetics, Via Madonna Alta 130, 06128 Perugia, Italy
                [2 ]Department of Soil, Plant, Environmental and Animal Production Sciences, University of Naples 'Federico II', Via Università 100, 80055 Portici, Italy
                [3 ]ENEA, TRISAIA Research Center, S.S. 106 Ionica, 75026 Rotondella (Matera), Italy
                [4 ]Department of Economical and Food Science, University of Perugia, Via S. Costanzo, 06126 Perugia, Italy
                [5 ]ENEA, Research Center CASACCIA, S.M. Galeria 00163, Rome, Italy
                Article
                1471-2164-10-399
                10.1186/1471-2164-10-399
                2748093
                19709400
                be019dea-73df-4ec2-8416-c5e0464a7cb9
                Copyright © 2009 Alagna et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 April 2009
                : 26 August 2009
                Categories
                Research Article

                Genetics
                Genetics

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