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The knowledge acquired will allow to identify potential biomarker of quality present in the fruit and the wine and will also allow to determine the correlation among them. Such kind of information can be used to improve agricultural techniques in order to obtain better quality fruits for better wines. 39 
O-20 Deciphering the chromosome structure in Vitis vinifera: genetic mapping, BAC-FISH and recombination A. Canaguier* 1 , I. Le Clainche 1 , A. Bérard 4 , A. Chauveau 4 , M-S. Vernerey 2 , C. Guichard 1 , P-Y. Bourguignon 3,6 , M-C. Le Paslier 4 , O. Jaillon 3 , G. Di Gaspero 5 , O. Coriton 2 , D. Brunel 4 , A-F. Adam-Blondon 1 1 UMR de Génomique Végétale, INRA-CNRS-UEVE, Evry, France; 2 UMR Amélioration des Plantes et Biotechnologies Végétales, INRA Agrocampus Rennes, Université de Rennes, Le Rheu, France; 3 Genoscope, IG-CEA, Evry, France; 4 INRA, UR EPGV, CEA / Institut de Génomique, Centre National de Génotypage, Bat G2, Evry, France; 5 Istituto di Genomica Applicata, Parco Scientifico e Tecnologico Luigi Danieli, Udine, Italy; 6 Max Planck Institute for Mathematics in Science Inselstraße, Leipzig, Germany, and Laboratoire de Physique Statistique CNRS - Univ. Paris VI and VII - Ecole Normale Supérieure 24, Paris, France *Corresponding author: canaguie@evry.inra.fr Within the framework of the sequencing project for the grapevine genome (Jaillon et al 2007), two genetic maps were completed with SSR markers in order to align the sequence contigs along the chromosomes. Thus, two full sib populations, ‘Syrah’ x ‘Grenache’ (SYxGR, 192 individuals; Doligez et al. 2006) and ‘Chardonnay’ x ‘Bianca’ (CHxBI, 358 individuals; Doligez et al. 2006) on which, respectively, 223 and 401 markers have been used. These two maps allowed anchoring over 90% of the reference genome sequence (Cipriani et al. in prep.). Recently, SNP markers were defined from 38 anchored but not oriented super-contigs of sequence and 44 super-contigs not oriented and not anchored. So far 110 new markers were mapped, allowing anchoring of 21 not yet anchored super-contigs (~3.2Mb) and orienting 32 super-contigs. In depth analysis is ongoing. In parallel, the recombination rate has been analyzed along the chromosomes for each of the four parents using the first version of the two maps with the software TETRA (Drouaud et al 2006). This software associates a probability with the observation of hot spots or cold spots of recombination. Thus, the recombination rates have been compared with the density of repeats sequences, genes, and GC%. Moreover, we are developing a cytogenetic map in Vitis vinifera using BAC-FISH. All these approaches will be combined to give a pattern of the Vitis vinifera genome, including the factors affecting its recombination rates and the dynamics of the genome evolution. 40 
Page 1 and 2: Date Time Session Topic Sunday Augu
Page 3 and 4: Monday August 2, 2010 Opening Plena
Page 5 and 6: Topic: Adaptation to soils and clim
Page 7 and 8: Tuesday August 3, 2010 Oral Session
Page 9 and 10: Poster Session 2 1:30 PM-3:00 PM Po
Page 11 and 12: P-105 Pathogen responsiveness and v
Page 13 and 14: Table of Contents Keynote Presentat
Page 15 and 16: K-2 Progress in grapevine breeding
Page 17 and 18: K-4 Genetics and Genomics of Grapev
Page 19 and 20: O-2 Additional homologs of the Ren1
Page 21 and 22: O-4 Y. Xu and Y.Wang* Introduction
Page 23 and 24: O-5 Identification of an R2R3 MYB t
Page 25 and 26: O-7 Sequencing of the phylloxera re
Page 27 and 28: O-9 Dissection of defense pathways
Page 29 and 30: O-11 Recent trends and technologies
Page 31 and 32: O-13 Brazilian Grape Breeding Progr
Page 33 and 34: O-15 Development of rootstocks for
Page 35 and 36: O-17 L. Wang* 1 , S. Li 1, 2 , P. F
Page 37: O-19 Integrated analysis of transcr
Page 41 and 42: O-22 Identification of table grapes
Page 43 and 44: O-24 Metagenomic sequencing as a to
Page 45 and 46: O-26 Regulation of bud fruitfulness
Page 47 and 48: O-28 Haplotype structure and cluste
Page 49 and 50: O-30 Annette Nassuth Function of Vi
Page 51 and 52: 10 to 25% of the chlorotic symptoms
Page 53 and 54: O-34 Cloning and characterization o
Page 55 and 56: O-36 New insight into the genetics
Page 57 and 58: O-38 Co-Localization of QTLs for Se
Page 59 and 60: O-40 Quantitative analysis of textu
Page 61 and 62: O-42 Transcriptional changes in res
Page 63 and 64: O-44 The Turkish grape (Vitis vinif
Page 65 and 66: Association genetics in relation wi
Page 67 and 68: O-47 Intravarietal variability of C
Page 69 and 70: O-49 Molecular survey of Georgian t
Page 71 and 72: O-51 Marker-assisted breeding: Iden
Page 73 and 74: O-53 An Integrated approach to stud
Page 75 and 76: O-55 Characteristics of promising m
Page 77 and 78: P-2 PMEI and SPY: Two genes with po
Page 79 and 80: P-4 Gene-assisted selection for tab
Page 81 and 82: P-6 Polyphenolic potential of the r
Page 83 and 84: P-8 Monoterpene levels in different
Page 85 and 86: P-10 Usefulness of the SCC8 scar ma
Page 87 and 88: P-12 The onset of berry ripening is
Page 89 and 90:
P-14 Morphological characteristics
Page 91 and 92:
P-16 A genetic analysis of berry qu
Page 93 and 94:
P-18 Use of molecular markers for s
Page 95 and 96:
P-20 Characterization of key compon
Page 97 and 98:
P-22 Expression of early light-indu
Page 99 and 100:
P-24 The development of molecular m
Page 101 and 102:
P-26 Identification of ABA inducibl
Page 103 and 104:
P-28 In vitro selection of HYP tole
Page 105 and 106:
P-30 In silico SNP detection for ge
Page 107 and 108:
P-32 Vitis vinifera genome annotati
Page 109 and 110:
P-34 Genome-wide identification of
Page 111 and 112:
P-36 Looking for genetic polymorphi
Page 113 and 114:
P-38 Characterization of a new horm
Page 115 and 116:
P-40 Towards a characterization of
Page 117 and 118:
the overall identified polymorphism
Page 119 and 120:
P-43 Proteomic characterization of
Page 121 and 122:
P-45 Preliminary observations on th
Page 123 and 124:
grapevine which will eventually be
Page 125 and 126:
P-48 ‘Cioutat’: a somatic varia
Page 127 and 128:
P-50 Estimation of protein spot var
Page 129 and 130:
glucosyltransferase, anthocyanidin
Page 131 and 132:
P-53 Marker-free transgenic grapevi
Page 133 and 134:
P-55 Agrobacterium rhizogenes-media
Page 135 and 136:
P-57 Phenotypic evaluation of ‘Th
Page 137 and 138:
P-59 Phenotypic divergence among gr
Page 139 and 140:
P-61 Grepevine variety determinatio
Page 141 and 142:
agricultural context. This network
Page 143 and 144:
P-64 Genetic structure in a large r
Page 145 and 146:
P-66 Analysis of grape rootstocks b
Page 147 and 148:
P-68 Italian wild grapevine: a stat
Page 149 and 150:
Rebula-Robola group were genotyped
Page 151 and 152:
P-71 Viticultural performance of so
Page 153 and 154:
P-73    Molecular characterizat
Page 155 and 156:
P-75 Variation of berry polyphenoli
Page 157 and 158:
P-77 Morphological and molecular id
Page 159 and 160:
P-79 Studies on an excellent, early
Page 161 and 162:
P-81 Effectiveness of different cul
Page 163 and 164:
P-83 Some early maturing table grap
Page 165 and 166:
P-85 New triploid seedless table gr
Page 167 and 168:
P-87 Grape breeding and viticulture
Page 169 and 170:
P-89 The usefulness of allotetraplo
Page 171 and 172:
P-91 Drying rate of fresh berries f
Page 173 and 174:
P-93 Development of table and raisi
Page 175 and 176:
P-95 Reaction of grape rootstocks t
Page 177 and 178:
P-97 Genetic analysis of the resist
Page 179 and 180:
P-99 Berry cracking caused powdery
Page 181 and 182:
P-101 Elicitation of grapevine defe
Page 183 and 184:
P-103 The biological characteristic
Page 185 and 186:
P-105 Pathogen responsiveness and v
Page 187 and 188:
P-107 Screening grape hybrid famili
Page 189 and 190:
P-109 Characterization of an ankyri
Page 191 and 192:
P-112 Evaluation of grapevine germp
Page 193 and 194:
P-114 Evaluation of four new rootst
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