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Further progress towards a catalogue of all Arabidopsis genes: analysis of a set of 5000 non-redundant ESTs |
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| Authors: | Richard Cooke Monique Raynal Michele Laudi Franoise Grellet Michel Delseny Peter-Christian Morris Danile Guerrier Jrme Giraudat Franoise Quigley Grard Clabault You-Fang Li Rgis Mache Micheline Krivitzky Isabelle Jean-Jacques Gy Martin Kreis Alain Lecharny Yves Parmentier Jacqueline Marbach Jacqueline Fleck Bernadette Clment Gabriel Philipps Christine Herv Claude Bardet Dominique Tremousaygue Bernard Lescure Christophe Lacomme Dominique Roby Marie-Franoise Jourjon Patrick Chabrier Jean-Louis Charpenteau Thierry Desprez Joelle Amselem Helen Chiapello Herman Hfte |
| Institution: | Laboratoire de Physiologie et Biologie Moléculaires Végétales, URA565 du CNRS, Universitéde Perpignan, Avenue de Villeneuve, 66860 Perpignan-Cedex, France;Génétique Moléculaire d'Arabidopsis, ISV-UPR40, CNRS, Avenue de la Terrasse, 91198 Gif-sur-Yvette Cedex, France;CNRS URA 1178, Laboratoire de Biologie Moléculaire Végétale, B.P. 53X, 38041 Grenoble Cedex, France;Laboratoire de Biologie du Developpement des Plantes, Universitéde Paris Sud, Bat. 91405, Orsay Cedex, France;Laboratoire de Biologie Moléculaire des Plantes—CNRS, L626, 12 Rue du Général Zimmer, 67084 Strasbourg Cedex, France;Laboratoire de Biologie Moléculaire des Plantes—CNRS, L512, 12 Rue du Général Zimmer, 67084 Strasbourg Cedex, France;UMR05 CNRS/INRA, BP 27, 31326 Castanet-Tolosan Cedex, France;Laboratoire de Biologie Moléculaire des Relations Plantes-Microorganismes UMR CNRS/INRA 05, BP 27, 31326 Castanet-Tolosan Cedex, France;Laboratoire de Biométrie et d'Intelligence Artificielle, INRA, Auzeville, BP27, 31326 Castanet-Tolosan Cedex, France;INRA Versailles, Laboratoire de Biologie Cellulaire, Route de Saint-Cyr, 78026 Versailles Cedex, France |
| Abstract: | Nearly 7000 Arabidopsis thaliana -expressed sequence tags (ESTs) from 10 cDNA libraries have been sequenced, of which almost 5000 non-redundant tags have been submitted to the EMBL data bank. The quality of the cDNA libraries used is analysed. Similarity searches in international protein data banks have allowed the detection of significant similarities to a wide range of proteins from many organisms. Alignment with ESTs from the rice systematic sequencing project has allowed the detection of amino acid motifs which are conserved between the two organisms, thus identifying tags to genes encoding highly conserved proteins. These genes are candidates for a common framework in genome mapping projects in different plants. |
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