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Book of Abstracts First Legume Society Conference 2013: A Legume Odyssey Novi Sad, Serbia, 9-11 May 2013 _________________________________________________________________________________________ KEYNOTE LECTURE Use of translational genomics to identify genes important for legume seed filling M Noguero 1 , I D’Erfurth 1 , C Le Signor 1 , V Vernoud 1 , J Verdier 2 , G Aubert 1 , J Buitink 3 , J Gouzy 4 , J-M Prosperi 5 , T Huguet 6 , J Burstin 1 , K Gallardo 1 , RD Thompson 1 1 INRA, UMR1347 Agroécologie, Dijon, France 2 Plant Biology Division, The Samuel Roberts Noble Foundation Ardmore, Oklahoma, USA 3 INRA, UMR Physiologie Moléculaire des Semences, Angers, France 4 INRA Laboratoire des Interactions Plantes Micro-organismes,Toulouse, France 5 UMR Diversité et adaptation des plantes cultivées, Montpellier, France 6 ENSAT, Toulouse, France Translational genomics, i.e., the transfer of genetic information from model species to cultivated crops, is on the brink of revolutionizing plant breeding. The recent publication of genomic sequences for several cultivated legumes is also accelerating this process. For pea, recent highthroughput RNA sequencing, and the prospect of a genome sequencing project, will further accelerate the transfer of information from the Medicago truncatula model to the cultivated crop. We have been using genomics approaches with Medicago as a tool to identify key genes determining seed yield and composition in closely related legumes. Analyses of the proteome and transcriptome of the component tissues of the developing seed revealed extensive compartmentalization of gene expression and metabolic activities. Using a TF (Transcription Factor) qRT-PCR platform and the Affymetrix Gene Chip, TFs specific for each seed tissue were identified, along with putative target genes. These TFs have been located on the M. truncatula genetic map and correlations between map positions of TF loci and QTLs for protein quantities and other seed phenotypes were detected. These correlations can be recently confirmed in numerous cases by the existence of similar QTLs at syntenic positions in pea. Two genes, both specifically expressed in the developing endosperm, have received particular attention. One of the genes encodes a DOF class transcription factor, whose mutant phenotype severely affects endosperm development. The second gene encodes an endosperm-specific subtilase (SBT1.1), which affects final seed weight. MiRNAs constitute another level of gene regulation whose importance in the developing seed is beginning to become apparent. We have recently started to compare the sRNA profiles of developing M. truncatula and pea seeds and preliminary results will be presented. 139
Book of Abstracts First Legume Society Conference 2013: A Legume Odyssey Novi Sad, Serbia, 9-11 May 2013 _________________________________________________________________________________________ Transcriptional profiling of grass pea genes differentially regulated in response to infection with Ascochyta pisi Nuno Felipe Almeida 1 , Susana Trindade Leitão 1 , Björn Rotter 2 , Peter Winter 2 , Diego Rubiales 3 , Maria Carlota Vaz Patto 1 1 Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal 2 GenXPro, Frankfurt am Main, Germany 3 Institute for Sustainable Agriculture, CSIC, Córdoba, Spain Grass pea (Lathyrus sativus L.) is a robust crop, mainly due to its tolerance to drought and resistance to several diseases, being a good candidate for production in marginal areas. In order to increase the available genomic resources and knowledge on grass pea disease resistance, we studied the genetic alteration occurring, at the transcript level, when this grain legume is infected with Ascochyta pisi. This pathogen causes ascochyta blight, one of the most devastating legume diseases worldwide. For that, we have analyzed the leaf transcriptome profiles, generated by SuperSAGE, of a resistant grass pea accession during the first 24h after inoculation with Ascochyta sp. Transcript tags were annotated using cDNA libraries of L. sativus and L. cicera generated by RNA-seq. 29.468 sequence tags of 26bp were generated, where 82% were present in the Lathyrus cDNA libraries, 2% found only in the TIGR database, 1% only in the NCBI database and 15% tags with no hits. This study of the transcription profiles by SuperSAGE in response to infection has as goal the identification of candidates genes involved in the control of resistance to ascochyta blight in grass pea. In the future the genomic resources here develop will be use to map economically important resistant traits and deliver markers for breeding. Our future work will focus on the transcription profiling of candidate genes identified via SuperSAGE in larger sets of resistant and susceptible germplasm to deepen our knowledge on those genes conferring resistance to ascochyta blight. 140
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First Legume Society Conference 201
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Scientific Committee Michael Abbert
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Programme 9 Session 1 Achievements
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