Expression Profiling in Medicago truncatula Identifies More Than 750 Genes Differentially Expressed during Nodulation, Including Many Potential Regulators of the Symbiotic Program

Author:

El Yahyaoui Fikri1,Küster Helge1,Ben Amor Besma1,Hohnjec Natalija1,Pühler Alfred1,Becker Anke1,Gouzy Jérôme1,Vernié Tatiana1,Gough Clare1,Niebel Andreas1,Godiard Laurence1,Gamas Pascal1

Affiliation:

1. Laboratoire des Interactions Plantes Micro-Organismes, Institut National de la Recherche Agronomique-Centre National de la Recherche Scientifique, 31326 Castanet Tolosan cedex, France (F.E.Y., B.B.A., J.G., T.V., C.G., A.N., L.G., P.G.); Lehrstuhl für Genetik, Fakultät für Biologie, Universität Bielefeld, D–33501 Bielefeld, Germany (H.K., N.H., A.P., A.B.); and Institute of Genome Research (A

Abstract

Abstract In this study, we describe a large-scale expression-profiling approach to identify genes differentially regulated during the symbiotic interaction between the model legume Medicago truncatula and the nitrogen-fixing bacterium Sinorhizobium meliloti. Macro- and microarrays containing about 6,000 probes were generated on the basis of three cDNA libraries dedicated to the study of root symbiotic interactions. The experiments performed on wild-type and symbiotic mutant material led us to identify a set of 756 genes either up- or down-regulated at different stages of the nodulation process. Among these, 41 known nodulation marker genes were up-regulated as expected, suggesting that we have identified hundreds of new nodulation marker genes. We discuss the possible involvement of this wide range of genes in various aspects of the symbiotic interaction, such as bacterial infection, nodule formation and functioning, and defense responses. Importantly, we found at least 13 genes that are good candidates to play a role in the regulation of the symbiotic program. This represents substantial progress toward a better understanding of this complex developmental program.

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Genetics,Physiology

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