Elisa Ravon
University of Angers
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Featured researches published by Elisa Ravon.
BMC Plant Biology | 2016
Jorge Urrestarazu; Caroline Denancé; Elisa Ravon; Arnaud Guyader; Rémi Guisnel; Laurence Feugey; Charles Poncet; Marc Lateur; Patrick Houben; Matthew Ordidge; Felicidad Fernández-Fernández; Kate Evans; Frantisek Paprstein; Jiri Sedlak; Hilde Nybom; Larisa Garkava-Gustavsson; C. Miranda; Jennifer Gassmann; Markus Kellerhals; Ivan Suprun; Anna Pikunova; Nina Krasova; Elnura Torutaeva; Luca Dondini; Stefano Tartarini; François Laurens; Charles Eric Durel
BackgroundThe amount and structure of genetic diversity in dessert apple germplasm conserved at a European level is mostly unknown, since all diversity studies conducted in Europe until now have been performed on regional or national collections. Here, we applied a common set of 16 SSR markers to genotype more than 2,400 accessions across 14 collections representing three broad European geographic regions (North + East, West and South) with the aim to analyze the extent, distribution and structure of variation in the apple genetic resources in Europe.ResultsA Bayesian model-based clustering approach showed that diversity was organized in three groups, although these were only moderately differentiated (FST = 0.031). A nested Bayesian clustering approach allowed identification of subgroups which revealed internal patterns of substructure within the groups, allowing a finer delineation of the variation into eight subgroups (FST = 0.044). The first level of stratification revealed an asymmetric division of the germplasm among the three groups, and a clear association was found with the geographical regions of origin of the cultivars. The substructure revealed clear partitioning of genetic groups among countries, but also interesting associations between subgroups and breeding purposes of recent cultivars or particular usage such as cider production. Additional parentage analyses allowed us to identify both putative parents of more than 40 old and/or local cultivars giving interesting insights in the pedigree of some emblematic cultivars.ConclusionsThe variation found at group and subgroup levels may reflect a combination of historical processes of migration/selection and adaptive factors to diverse agricultural environments that, together with genetic drift, have resulted in extensive genetic variation but limited population structure. The European dessert apple germplasm represents an important source of genetic diversity with a strong historical and patrimonial value. The present work thus constitutes a decisive step in the field of conservation genetics. Moreover, the obtained data can be used for defining a European apple core collection useful for further identification of genomic regions associated with commercially important horticultural traits in apple through genome-wide association studies.
Evolutionary Applications | 2015
Diane Leforestier; Elisa Ravon; Hélène Muranty; Amandine Cornille; Christophe Lemaire; Tatiana Giraud; Charles-Eric Durel; Antoine Branca
Unraveling the genomic processes at play during variety diversification is of fundamental interest for understanding evolution, but also of applied interest in crop science. It can indeed provide knowledge on the genetic bases of traits for crop improvement and germplasm diversity management. Apple is one of the most important fruit crops in temperate regions, having both great economic and cultural values. Sweet dessert apples are used for direct consumption, while bitter cider apples are used to produce cider. Several important traits are known to differentiate the two variety types, in particular fruit size, biennial versus annual fruit bearing, and bitterness, caused by a higher content in polyphenols. Here, we used an Illumina 8k SNP chip on two core collections, of 48 dessert and 48 cider apples, respectively, for identifying genomic regions responsible for the differences between cider and dessert apples. The genome‐wide level of genetic differentiation between cider and dessert apples was low, although 17 candidate regions showed signatures of divergent selection, displaying either outlier FST values or significant association with phenotypic traits (bitter versus sweet fruits). These candidate regions encompassed 420 genes involved in a variety of functions and metabolic pathways, including several colocalizations with QTLs for polyphenol compounds.
Tree Genetics & Genomes | 2016
Laure Perchepied; Philippe Guérif; Elisa Ravon; Caroline Denancé; François Laurens; Philippe Robert; L Bouvier; Yves Lespinasse; Charles-Eric Durel
Pear psylla (Cacopsylla pyri) causes severe damage on European pear cultivars, resulting in high yield losses. Its control has become difficult since it developed resistance to a wide range of pesticides, while the number of authorized molecules for pest control has decreased. Identifying pear psylla resistance factors should help breeding new resistant pear cultivars. We analyzed the quantitative resistance to psylla inherited from the genotype NY 10355 derived from Pyrus ussuriensis. Quantitative trait locus (QTL) analysis was carried out after counting the number of nymphs and estimating the nymphal development rate using a free-choice test performed on a large segregating progeny. We mapped two new loci for pear psylla resistance on linkage groups LG01 and LG04 of NY 10355 and confirmed the QTL previously detected on LG17. A strong epistatic interaction between the two QTLs detected on LG01 and LG17 appeared to be a major factor controlling the psylla infestation in the genotype NY 10355.
Infection, Genetics and Evolution | 2016
Valérie Caffier; Bruno Le Cam; Mehdi Al Rifaï; Marie-Noëlle Bellanger; Morgane Comby; Caroline Denancé; Frédérique Didelot; Pascale Expert; Tifenn Kerdraon; Arnaud Lemarquand; Elisa Ravon; Charles-Eric Durel
Quantitative plant resistance affects the aggressiveness of pathogens and is usually considered more durable than qualitative resistance. However, the efficiency of a quantitative resistance based on an isolate-specific Quantitative Trait Locus (QTL) is expected to decrease over time due to the selection of isolates with a high level of aggressiveness on resistant plants. To test this hypothesis, we surveyed scab incidence over an eight-year period in an orchard planted with susceptible and quantitatively resistant apple genotypes. We sampled 79 Venturia inaequalis isolates from this orchard at three dates and we tested their level of aggressiveness under controlled conditions. Isolates sampled on resistant genotypes triggered higher lesion density and exhibited a higher sporulation rate on apple carrying the resistance allele of the QTL T1 compared to isolates sampled on susceptible genotypes. Due to this ability to select aggressive isolates, we expected the QTL T1 to be non-durable. However, our results showed that the quantitative resistance based on the QTL T1 remained efficient in orchard over an eight-year period, with only a slow decrease in efficiency and no detectable increase of the aggressiveness of fungal isolates over time. We conclude that knowledge on the specificity of a QTL is not sufficient to evaluate its durability. Deciphering molecular mechanisms associated with resistance QTLs, genetic determinants of aggressiveness and putative trade-offs within pathogen populations is needed to help in understanding the erosion processes.
Frontiers in Plant Science | 2017
Jorge Urrestarazu; Hélène Muranty; Caroline Denancé; Diane Leforestier; Elisa Ravon; Arnaud Guyader; Rémi Guisnel; Laurence Feugey; Sébastien Aubourg; Jean Marc Celton; Nicolas Daccord; Luca Dondini; Roberto Gregori; Marc Lateur; Patrick Houben; Matthew Ordidge; Frantisek Paprstein; Jiri Sedlak; Hilde Nybom; Larisa Garkava-Gustavsson; Michela Troggio; Luca Bianco; Riccardo Velasco; Charles Poncet; Anthony Théron; Shigeki Moriya; Marco C. A. M. Bink; François Laurens; S. Tartarini; Charles Eric Durel
Deciphering the genetic control of flowering and ripening periods in apple is essential for breeding cultivars adapted to their growing environments. We implemented a large Genome-Wide Association Study (GWAS) at the European level using an association panel of 1,168 different apple genotypes distributed over six locations and phenotyped for these phenological traits. The panel was genotyped at a high-density of SNPs using the Axiom®Apple 480 K SNP array. We ran GWAS with a multi-locus mixed model (MLMM), which handles the putatively confounding effect of significant SNPs elsewhere on the genome. Genomic regions were further investigated to reveal candidate genes responsible for the phenotypic variation. At the whole population level, GWAS retained two SNPs as cofactors on chromosome 9 for flowering period, and six for ripening period (four on chromosome 3, one on chromosome 10 and one on chromosome 16) which, together accounted for 8.9 and 17.2% of the phenotypic variance, respectively. For both traits, SNPs in weak linkage disequilibrium were detected nearby, thus suggesting the existence of allelic heterogeneity. The geographic origins and relationships of apple cultivars accounted for large parts of the phenotypic variation. Variation in genotypic frequency of the SNPs associated with the two traits was connected to the geographic origin of the genotypes (grouped as North+East, West and South Europe), and indicated differential selection in different growing environments. Genes encoding transcription factors containing either NAC or MADS domains were identified as major candidates within the small confidence intervals computed for the associated genomic regions. A strong microsynteny between apple and peach was revealed in all the four confidence interval regions. This study shows how association genetics can unravel the genetic control of important horticultural traits in apple, as well as reduce the confidence intervals of the associated regions identified by linkage mapping approaches. Our findings can be used for the improvement of apple through marker-assisted breeding strategies that take advantage of the accumulating additive effects of the identified SNPs.
Archive | 2016
Jorge Urrestarazu; Caroline DenancĂŠ; Elisa Ravon; Arnaud Guyader; RĂŠmi Guisnel; Laurence Feugey; Charles Poncet; Marc Lateur; Patrick Houben; Matthew Ordidge; Felicidad Fernández-Fernández; Kate Evans; Frantisek Paprstein; Jiri Sedlak; Hilde Nybom; Larisa Garkava-Gustavsson; C. Miranda; Jennifer Gassmann; Markus Kellerhals; Ivan Suprun; Anna Pikunova; Nina Krasova; Elnura Torutaeva; L. Dondini; Stefano Tartarini; FrançOis Laurens; Charles-Eric Durel
Characteristics of the 16 SSR markers used in this study with indication of the corresponding multiplex and dye. Footnotes: a [61]; b [60]; c [59]; d [62]; e Primer concentration within a given multiplex has been adjusted to get more homogeneous SSR marker amplification intensities. (XLSX 10 kb)
Plant Molecular Biology Reporter | 2016
Ludivine Lassois; Caroline Denancé; Elisa Ravon; Arnaud Guyader; Rémi Guisnel; Laurence Hibrand-Saint-Oyan; Charles Poncet; Pauline Lasserre-Zuber; Laurence Feugey; Charles-Eric Durel
Tree Genetics & Genomes | 2015
Sara Montanari; Philippe Guérif; Elisa Ravon; Caroline Denancé; Hélène Muranty; Riccardo Velasco; David Chagné; Vincent G. M. Bus; Philippe Robert; Laure Perchepied; Charles-Eric Durel
Molecular Breeding | 2015
Laure Perchepied; Diane Leforestier; Elisa Ravon; Philippe Guérif; Caroline Denancé; Marie Tellier; Shingo Terakami; Toshiya Yamamoto; Michel Chevalier; Yves Lespinasse; Charles Eric Durel
Acta Horticulturae | 2017
Hélène Muranty; Jorge Urrestarazu; Caroline Denancé; Diane Leforestier; Elisa Ravon; Arnaud Guyader; Rémi Guisnel; Laurence Feugey; S. Tartarini; Luca Dondini; Roberto Gregori; Marc Lateur; E.H.P. Houben; Jiri Sedlak; Frantisek Paprstein; Matthew Ordidge; Hilde Nybom; Larisa Garkava-Gustavsson; Michela Troggio; Luca Bianco; R. Velasco; Charles Poncet; Anthony Théron; Marco C. A. M. Bink; François Laurens; Charles-Eric Durel