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Featured researches published by S. Tartarini.


BMC Genomics | 2017

The Peach v2.0 release: high-resolution linkage mapping and deep resequencing improve chromosome-scale assembly and contiguity

Ignazio Verde; Jerry Jenkins; Luca Dondini; Sabrina Micali; Giulia Pagliarani; Elisa Vendramin; Roberta Paris; Valeria Aramini; Laura Gazza; Laura Rossini; Daniele Bassi; Michela Troggio; Shengqiang Shu; Jane Grimwood; S. Tartarini; Maria Teresa Dettori; Jeremy Schmutz

BackgroundThe availability of the peach genome sequence has fostered relevant research in peach and related Prunus species enabling the identification of genes underlying important horticultural traits as well as the development of advanced tools for genetic and genomic analyses. The first release of the peach genome (Peach v1.0) represented a high-quality WGS (Whole Genome Shotgun) chromosome-scale assembly with high contiguity (contig L50 214.2xa0kb), large portions of mapped sequences (96%) and high base accuracy (99.96%). The aim of this work was to improve the quality of the first assembly by increasing the portion of mapped and oriented sequences, correcting misassemblies and improving the contiguity and base accuracy using high-throughput linkage mapping and deep resequencing approaches.ResultsFour linkage maps with 3,576 molecular markers were used to improve the portion of mapped and oriented sequences (from 96.0% and 85.6% of Peach v1.0 to 99.2% and 98.2% of v2.0, respectively) and enabled a more detailed identification of discernible misassemblies (10.4xa0Mb in total). The deep resequencing approach fixed 859 homozygous SNPs (Single Nucleotide Polymorphisms) and 1347 homozygous indels. Moreover, the assembled NGS contigs enabled the closing of 212 gaps with an improvement in the contig L50 of 19.2%.ConclusionsThe improved high quality peach genome assembly (Peach v2.0) represents a valuable tool for the analysis of the genetic diversity, domestication, and as a vehicle for genetic improvement of peach and related Prunus species. Moreover, the important phylogenetic position of peach and the absence of recent whole genome duplication (WGD) events make peach a pivotal species for comparative genomics studies aiming at elucidating plant speciation and diversification processes.


Tree Genetics & Genomes | 2018

Identification of candidate genes at the Dp-fl locus conferring resistance against the rosy apple aphid Dysaphis plantaginea

Michela Dall’Agata; Giulia Pagliarani; S. Padmarasu; Michela Troggio; Luca Bianco; E. Dapena; M. Miñarro; Sébastien Aubourg; Y. Lespinasse; Charles-Eric Durel; S. Tartarini

The cultivated apple is susceptible to several pests including the rosy apple aphid (RAA; Dysaphis plantaginea Passerini), control of which is mainly based on chemical treatments. A few cases of resistance to aphids have been described in apple germplasm resources, laying the basis for the development of new resistant cultivars by breeding. The cultivar ‘Florina’ is resistant to RAA, and recently, the Dp-fl locus responsible for its resistance was mapped on linkage group 8 of the apple genome. In this paper, a chromosome walking approach was performed by using a ‘Florina’ bacterial artificial chromosome (BAC) library. The walking started from the available tightly linked molecular markers flanking the resistance region. Various walking steps were performed in order to identify the minimum tiling path of BAC clones covering the Dp-fl region from both the “resistant” and “susceptible” chromosomes of ‘Florina’. A genomic region of about 279xa0Kb encompassing the Dp-fl resistance locus was fully sequenced by the PacBio technology. Through the development of new polymorphic markers, the mapping interval around the resistance locus was narrowed down to a physical region of 95xa0Kb. The annotation of this sequence resulted in the identification of four candidate genes putatively involved in the RAA resistance response.


Frontiers in Plant Science | 2017

Genome-Wide Association Mapping of Flowering and Ripening Periods in Apple

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.


Plant Science | 2017

Comparative analysis of allergen genes and pro-inflammatory factors in pollen and fruit of apple varieties

Roberta Paris; Giulia Pagliarani; Federica Savazzini; Iris Aloisi; Rosa Anna Iorio; S. Tartarini; Giampaolo Ricci; Stefano Del Duca

Allergy to freshly consumed apple fruits is often associated to pollinosis and manifested as oral allergy syndrome (OAS). The allergenic properties of apple varieties differ greatly, spanning from low allergenic to high allergenic varieties. The knowledge of the genetic determinants for allergenicity has been of great interest in scientific community for several years, but the molecular mechanisms involved are still little understood. Here, factors putatively involved in allergenicity were investigated at biochemical and molecular level in pollen and in fruits of apple varieties differing in their allergenic potential. Among putative sensitizing factors, transglutaminase (TGase) and phospholipase A2 (PLA2) were considered together with reactive oxygen species (ROS) and known apple allergen genes, with particular attention devoted to the Mal d 1 gene family, the most important one in sensitization. We found that the expression of some allergen genes and the activities of TGase, PLA2 and ROS producing enzyme are lower in the hypo-allergenic variety Durello di Forlì in comparison with the high-allergenic genotypes Gala and Florina. These results highlight correlations among allergen expressions, enzymatic activities and apple cultivars; these data underline the possibility that some of them could be used in the future as markers for allergenicity.


EUCARPIA Symposium on Fruit Breeding and Genetics | 2017

FruitBreedomics phenotypes and genotypes database and tools

N. Nazzicari; A. Caprera; Laura Rossini; S. Tartarini; Luca Dondini; A. Patocchi; Luca Bianco; François Laurens; A. Stella


XIV EUCARPIA Symposium on Fruit Breeding and Genetics | 2017

Shoot organogenesis from apricot meristematic bulks

P. Negri; Federica Savazzini; P. A. Pereira Da Silva; Luca Dondini; S. Tartarini


Acta Horticulturae | 2017

Pyramiding of multiple resistances to disease and marker-assisted selection

L. Berra; S. Tartarini; M. Adami; D. Nari; S. Pellegrino


Acta Horticulturae | 2017

Genome wide association study of two phenology traits (flowering time and maturity date) in apple

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


Acta Horticulturae | 2017

Construction of a minimum tiling path of BAC clones covering the Sharka resistance region in apricot

Federica Savazzini; M. Ungarelli; Luca Dondini; S. Tartarini; R. Falchi; G. De Mori; R. Messina; R. Testolin; M. Passaro; F. Geuna; Daniele Bassi; F. Cattonaro; S. Scalabrin


Acta Horticulturae | 2017

Towards a physical map of the locus conferring resistance against the rosy apple aphid Dysaphis plantaginea from the cultivar ‘Florina’

M. Dall’Agata; Giulia Pagliarani; Michela Troggio; Charles-Eric Durel; E. Dapena; M. Miñarro; S. Tartarini

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Luca Bianco

Edmund Mach Foundation

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François Laurens

Institut national de la recherche agronomique

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