323 results on '"Arús Pere"'
Search Results
302. A codominant diagnostic marker for the slow ripening trait in peach.
- Author
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Meneses, Claudio, Ulloa-Zepeda, Lissette, Cifuentes-Esquivel, Alejandra, Infante, Rodrigo, Cantin, Celia M., Batlle, Ignasi, Arús, Pere, and Eduardo, Iban
- Abstract
The peach [Prunus persica L. (Batsch)] slow ripening (SR) trait is a mutation preventing the normal ripening process. Individuals with this phenotype are discarded in peach breeding programs. This trait is determined by a single gene (Sr/sr), where the recessive homozygote (sr/sr) confers the SR phenotype, and has been mapped to linkage group 4 of the peach genome. A large deletion of 26.6 kb containing the sequence of a NAC transcription factor has been proposed as the causal mutation. Two dominant markers based on the sequence of this region have been assayed previously and found to be diagnostic (genotypes always predicted the phenotypes). However, their dominant nature—a null allele for the marker was associated with the sr allele—made it impossible to predict the individuals that carried the SR trait. Here we used resequencing information to develop a codominant molecular marker for the SR trait in peach. The marker was validated in the ‘Belbinette’ × ‘Nectalady’ F1 and the ‘Venus’ F2 populations, and in 27 lines, 18 of which are known to carry the sr allele. The marker cosegregated with the SR phenotype in all cases, allowing the discrimination of two DNA fragments of different size associated with normal-ripening alleles, in addition to a third fragment associated with the sr allele. The utility of this marker in peach breeding programs is discussed. [ABSTRACT FROM AUTHOR]
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- 2016
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303. Molecular characterization and genetic diversity of Prunus rootstocks
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Bouhadida, Mariem, Casas, Ana María, Gonzalo, María José, Arús, Pere, Moreno, María Ángeles, and Gogorcena, Yolanda
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PRUNUS , *ROOTSTOCKS , *GENETIC polymorphisms , *MOLECULAR biology , *PLANT genetics , *MICROSATELLITE repeats , *DNA primers , *CULTIVARS - Abstract
Abstract: Twenty microsatellite primer pairs, previously developed in peach, were used to characterize and to explore genetic relationships among 44 clones, representing three groups of rootstocks defined as: (1) Peach-based rootstocks (Prunus dulcis × P. persica, P. persica × P. davidiana); (2) Myrobalan-Marianna plums (P. cerasifera and interspecific hybrids having P. cerasifera as a parent); and (3) Slow growing plums (P. insititia, P. domestica, and P. domestica × P. spinosa). Eighteen SSR markers, from the 20 initially used, were able to amplify polymorphic products for the Peach-based rootstocks and 13 common markers gave also polymorphism for the Myrobalan-Marianna and Slow growing plums groups. The Dice coefficient of similarity was calculated between all pairs of accessions and their genetic similarity represented by a principal coordinate analysis. The genetic diversity detected among the 44 clones studied divided them in three groups, which are in agreement with their current taxonomic classification and their morphological characteristics. A set of three microsatellites (BPPCT001, CPPCT022 and UDP98-407) can distinguish between all the clones analyzed. The analysis within groups reveal another two sets of three SSR to distinguish between the clones from the Peach based rootstocks and the Myrobalan-Marianna plums, respectively, and only a single SSR is needed to distinguish within the clones from the Slow growing plums group. These results demonstrate the high potential of the SSR analysis for peach rootstock identification and studies of diversity in Prunus species. [Copyright &y& Elsevier]
- Published
- 2009
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304. Integrated QTL detection for key breeding traits in multiple peach progenies
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Daniele Bassi, Sabrina Micali, José Antonio Campoy, Elisabeth Dirlewanger, François Laurens, Laura Rossini, Pere Arús, Nelson Nazzicari, Ignazio Verde, Celia M. Cantín, Patrick Lambert, Marco C. A. M. Bink, Thierry Pascal, Jose Ramon Hernandez Mora, Diego Micheletti, Andrea Caprera, Maria José Aranzana, Maria Teresa Dettori, Michela Troggio, Elisa Banchi, Bénédicte Quilot-Turion, Eric van de Weg, European Commission, Agencia Estatal de Investigación (España), Generalitat de Catalunya, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Institute of Research and Technology, Food and Agriculture (IRTA), Research and Innovation Centre, Edmund Mach Foundation (FEM), Technology & Services, Hendrix Genetics, Plant Breeding, Wageningen University and Research Center (WUR), Fruit CentreParc Cientific i Tecnològic Agroalimentari de Lleida (PCiTAL), Research Centre for Fodder Crops and Dairy Productions, Council for Agricultural Research and Economics (CREA), PTP Science Park, Centro di Ricerca per la Frutticoltura, Biologie du fruit et pathologie (BFP), Université Sciences et Technologies - Bordeaux 1-Institut National de la Recherche Agronomique (INRA)-Université Bordeaux Segalen - Bordeaux 2, Unité de recherche Génétique et amélioration des fruits et légumes (GALF), Institut National de la Recherche Agronomique (INRA), DiSAA, Università degli studi di Milano [Milano], Institut de Recherche en Horticulture et Semences (IRHS), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA)-Université d'Angers (UA), Severo Ochoa Programme for Centres of Excellence in R&D' 2016–2019 (SEV-2015-0533)', project AGL2015-68329-R, CERCA Programme/Generalitat de Catalunya., European Project: 265582, Producció Vegetal, Fructicultura, Genòmica i Biotecnologia, Université d'Angers (UA)-Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Hernández Mora, José R, Micheletti, Diego, Bink, Marco, Van de Weg, Eric, Cantín, Celia, Nazzicari, Nelson, Caprera, Andrea, Dettori, Maria Teresa, Micali, Sabrina, Banchi, Elisa, Campoy, José Antonio, Dirlewanger, Elisabeth, Lambert, Patrick, Pascal, Thierry, Troggio, Michela, Bassi, Daniele, Rossini, Laura, Verde, Ignazio, Quilot Turion, Bénédicte, Laurens, Françoi, Arús, Pere, Aranzana, Maria José, Wageningen University and Research [Wageningen] (WUR), Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria (CREA), Université Sciences et Technologies - Bordeaux 1-Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA), Génétique et Amélioration des Fruits et Légumes (GAFL), Università degli Studi di Milano [Milano] (UNIMI), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics (CREA), Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Université Sciences et Technologies - Bordeaux 1 (UB), and Università degli Studi di Milano = University of Milan (UNIMI)
- Subjects
0106 biological sciences ,0301 basic medicine ,PBA ,variabilité génétique ,Breeding ,détection qtl ,01 natural sciences ,Prunus ,pédigrée ,fishery management ,genetic variability ,Cultivar ,Pedigre-based Analysis ,2. Zero hunger ,Genetics ,Vegetal Biology ,FlexQTLTM ,Peach QTL ,Peach breeding ,food and beverages ,PE&RC ,Settore AGR/07 - GENETICA AGRARIA ,génotype végétal ,Gene pool ,PBR Biodiversity and genetic variation ,FlexQTL ,Biotechnology ,Research Article ,lcsh:QH426-470 ,Genotype ,lcsh:Biotechnology ,Quantitative Trait Loci ,Flowers ,Biology ,Quantitative trait locus ,Polymorphism, Single Nucleotide ,PBR Biodiversiteit en Genetische Variatie ,03 medical and health sciences ,lcsh:TP248.13-248.65 ,phase reproductrice ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,Genetic variability ,Allele ,Selection (genetic algorithm) ,gestion des pêches ,Probability ,Prunus persica ,Heritability ,lcsh:Genetics ,030104 developmental biology ,Solubility ,pépinière fruitière ,Fruit ,EPS ,Biologie végétale ,010606 plant biology & botany - Abstract
[Background]: Peach (Prunus persica (L.) Batsch) is a major temperate fruit crop with an intense breeding activity. Breeding is facilitated by knowledge of the inheritance of the key traits that are often of a quantitative nature. QTLs have traditionally been studied using the phenotype of a single progeny (usually a full-sib progeny) and the correlation with a set of markers covering its genome. This approach has allowed the identification of various genes and QTLs but is limited by the small numbers of individuals used and by the narrow transect of the variability analyzed. In this article we propose the use of a multi-progeny mapping strategy that used pedigree information and Bayesian approaches that supports a more precise and complete survey of the available genetic variability., [Results]: Seven key agronomic characters (data from 1 to 3 years) were analyzed in 18 progenies from crosses between occidental commercial genotypes and various exotic lines including accessions of other Prunus species. A total of 1467 plants from these progenies were genotyped with a 9 k SNP array. Forty-seven QTLs were identified, 22 coinciding with major genes and QTLs that have been consistently found in the same populations when studied individually and 25 were new. A substantial part of the QTLs observed (47%) would not have been detected in crosses between only commercial materials, showing the high value of exotic lines as a source of novel alleles for the commercial gene pool. Our strategy also provided estimations on the narrow sense heritability of each character, and the estimation of the QTL genotypes of each parent for the different QTLs and their breeding value., [Conclusions]: The integrated strategy used provides a broader and more accurate picture of the variability available for peach breeding with the identification of many new QTLs, information on the sources of the alleles of interest and the breeding values of the potential donors of such valuable alleles. These results are first-hand information for breeders and a step forward towards the implementation of DNA-informed strategies to facilitate selection of new cultivars with improved productivity and quality., This work has been funded under the EU seventh Framework Programme by the FruitBreedomics project Nu. 265582: Integrated Approach for increasing breeding efficiency in fruit tree crops. IRTA-CRAG group received financial support from the Spanish Ministry of Economy and Competitiveness, through the “Severo Ochoa Programme for Centres of Excellence in R&D” 2016–2019 (SEV-2015-0533)” and through the project AGL2015-68329-R, and from the CERCA Programme/Generalitat de Catalunya.
- Published
- 2017
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305. Whole-genome analysis of diversity and SNP-major gene association in peach germplasm
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Cassia da Silva Linge, Ruijuan Ma, Daniele Bassi, Teresa Barreneche, Thierry Pascal, Nelson Nazzicari, Igor Pacheco, Sabrina Micali, S. Foschi, I. Iglesias, Laura Rossini, Diego Micheletti, Valeria Aramini, Pere Arús, Zhongshan Gao, Lirong Wang, Bénédicte Quilot-Turion, Ignazio Verde, Maria José Aranzana, Patrick Lambert, Elisa Banchi, Michela Troggio, Xiong-wei Li, Maria Teresa Dettori, J. Carbó, François Laurens, European Commission, Ministero delle Politiche Agricole Alimentari e Forestali, Ministerio de Ciencia e Innovación (España), CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Institute of Research and Technology, Food and Agriculture (IRTA), Centro di Ricerca per la Frutticoltura, Agricultural Research Council (CRA), DISAA, Università degli Studi di Milano [Milano] (UNIMI), Centro Ricerca Produzione Vegetale (CRPV), Fondazione Edmund Mach (FEM), Research and Innovation Centre, Biologie du fruit et pathologie (BFP), Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Université Sciences et Technologies - Bordeaux 1, Génétique et Amélioration des Fruits et Légumes (GAFL), Institut National de la Recherche Agronomique (INRA), Estació Experimental de Lleida, Estacio Experimental Mas Badia, Zhenzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Horticultural Institute, Jiangsu Academy of Agricultural Sciences, Department of Horticulture, Zhejiang University, Parco Tecnologico Padano, Institut de Recherche en Horticulture et Semences (IRHS), Université d'Angers (UA)-Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), This work has been funded by the EU seventh Framework Programme (http://ec.europa.eu/ research/fp7/index_en.cfm) through the project 'FruitBreedomics: Integrated Approach for increasing breeding efficiency in fruit tree crops' (Grant #FP7- 265582, by the Ministero delle Politiche Agricole Alimentari e Forestali -Italy, European Project: 265582,EC:FP7:KBBE,FP7-KBBE-2010-4,FRUIT BREEDOMICS(2011), Università degli studi di Milano [Milano], Unité de recherche Génétique et amélioration des fruits et légumes (GALF), Micheletti, Diego, Dettori, Maria Teresa, Micali, Sabrina, Aramini, Valeria, Pacheco, Igor, Da Silva Linge, Cassia, Foschi, Stefano, Banchi, Elisa, Barreneche, Teresa, Quilot Turion, Bénédicte, Lambert, Patrick, Pascal, Thierry, Iglesias, Ignasi, Carbó, Joaquim, Wang, Li Rong, Ma, Rui Juan, Li, Xiong Wei, Gao, Zhong Shan, Nazzicari, Nelson, Troggio, Michela, Bassi, Daniele, Rossini, Laura, Verde, Ignazio, Laurens, Françoi, Arús, Pere, Joséaranzana, Maria, Università degli Studi di Milano = University of Milan (UNIMI), and Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Université Sciences et Technologies - Bordeaux 1 (UB)
- Subjects
Genetics and Molecular Biology (all) ,0106 biological sciences ,Germplasm ,[SDV.SA]Life Sciences [q-bio]/Agricultural sciences ,Linkage disequilibrium ,variabilité génétique ,lcsh:Medicine ,Genome-wide association study ,Biochemistry ,01 natural sciences ,Chromosome Mapping ,Genetic Variation ,Genome-Wide Association Study ,Haplotypes ,Phenotype ,Phylogeny ,Prunus persica ,Chromosomes, Plant ,Genome, Plant ,Genotype ,Polymorphism, Single Nucleotide ,Agricultural and Biological Sciences (all) ,Biochemistry, Genetics and Molecular Biology (all) ,Medicine (all) ,Haplotype ,lcsh:Science ,prunus persica ,2. Zero hunger ,Genetics ,0303 health sciences ,Genome ,Multidisciplinary ,Vegetal Biology ,Single Nucleotide ,Major gene ,Agricultural sciences ,Settore AGR/07 - GENETICA AGRARIA ,genome wide association study (GWAS) ,Gene pool ,génotype ,Research Article ,polymorphisme nucléotidique simple (SNP) ,Biology ,Chromosomes ,03 medical and health sciences ,Genetic variation ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,Genetic variability ,Polymorphism ,Domestication ,030304 developmental biology ,lcsh:R ,Plant ,lcsh:Q ,Sciences agricoles ,Biologie végétale ,010606 plant biology & botany - Abstract
Peach was domesticated in China more than four millennia ago and from there it spread world-wide. Since the middle of the last century, peach breeding programs have been very dynamic generating hundreds of new commercial varieties, however, in most cases such varieties derive from a limited collection of parental lines (founders). This is one reason for the observed low levels of variability of the commercial gene pool, implying that knowledge of the extent and distribution of genetic variability in peach is critical to allow the choice of adequate parents to confer enhanced productivity, adaptation and quality to improved varieties. With this aim we genotyped 1,580 peach accessions (including a few closely related Prunus species) maintained and phenotyped in five germplasm collections (four European and one Chinese) with the International Peach SNP Consortium 9K SNP peach array. The study of population structure revealed the subdivision of the panel in three main populations, one mainly made up of Occidental varieties from breeding programs (POP1OCB), one of Occidental landraces (POP2OCT) and the third of Oriental accessions (POP3OR). Analysis of linkage disequilibrium (LD) identified differential patterns of genome-wide LD blocks in each of the populations. Phenotypic data for seven monogenic traits were integrated in a genome-wide association study (GWAS). The significantly associated SNPs were always in the regions predicted by linkage analysis, forming haplotypes of markers. These diagnostic haplotypes could be used for marker-assisted selection (MAS) in modern breeding programs., This work has been funded by the EU seventh Framework Programme (http://ec.europa.eu/research/fp7/index_en.cfm) through the project “FruitBreedomics: Integrated Approach for increasing breeding efficiency in fruit tree crops” (Grant #FP7- 265582; http://fruitbreedomics.com/); by the Ministero delle Politiche Agricole Alimentari e Forestali -Italy (MiPAAF, http://www.politicheagricole.it) through the project ‘‘DRUPOMICS: Sequenziamento del genoma del pesco ed utilizzo della sequenza in programmi di miglioramento della qualita` del frutto del pesco e della resistenza alle malattie’’ (Grant # DM14999/7303/08) and “ESPLORA: Esplorazione della biodiversità vegetale ed animale alla ricerca di alleli superiori da inserire nei programmi avanzati di miglioramento genetico a sostegno dell’agricoltura nazionale” (Grant #DM 14658/7303/10); by the Spanish Ministry of Science and Innovation (http://www.micinn.es/) through the project AGL2012-40228-C02-01 (uso de la secuencia genomica para la caracterizacion de la variabilidad intraclonal e interespecifica en Melocotonero y almendro) and by the INIA (http://www.inia.es/) through the Project RF2012-00024-C04-04 (“conservación y caracterización de germoplasma introducido”).
- Published
- 2015
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306. QTL mapping of almond kernel quality traits in the F 1 progeny of 'Marcona' × 'Marinada'.
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Pérez de Los Cobos F, Romero A, Lipan L, Miarnau X, Arús P, Eduardo I, Batlle I, and Calle A
- Abstract
Almond breeding is increasingly focusing on kernel quality. However, unlike other agronomic traits, the genetic basis of physical and chemical kernel quality traits has been poorly investigated. To address this gap, we conducted a QTL mapping of these traits to enhance our understanding of their genetic control. We phenotyped fruit samples from an F
1 population derived from the cross between 'Marcona' and 'Marinada' for up to four years, using conventional and image analysis methods. Additionally, the 91 individuals of the population were genotyped with the almond Axiom™ 60K SNP array, and high-density linkage maps were constructed. These analyses identified several genomic regions of breeding interest. For example, two regions on chromosome one were found to contain QTLs for kernel shape and dimension, while another region at the end of the same chromosome contained QTLs for kernel fatty acid composition. Notably, QTLs for kernel symmetry and kernel shoulder, reported for the first time in this study, were also mapped on chromosome one. These QTLs will serve as a foundation for developing molecular markers linked to kernel physical and chemical quality traits in almonds, facilitating the integration of marker-assisted selection into breeding programs., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Pérez de los Cobos, Romero, Lipan, Miarnau, Arús, Eduardo, Batlle and Calle.)- Published
- 2024
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307. A phased genome of the highly heterozygous 'Texas' almond uncovers patterns of allele-specific expression linked to heterozygous structural variants.
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Castanera R, de Tomás C, Ruggieri V, Vicient C, Eduardo I, Aranzana MJ, Arús P, and Casacuberta JM
- Abstract
The vast majority of traditional almond varieties are self-incompatible, and the level of variability of the species is very high, resulting in a high-heterozygosity genome. Therefore, information on the different haplotypes is particularly relevant to understand the genetic basis of trait variability in this species. However, although reference genomes for several almond varieties exist, none of them is phased and has genome information at the haplotype level. Here, we present a phased assembly of genome of the almond cv. Texas. This new assembly has 13% more assembled sequence than the previous version of the Texas genome and has an increased contiguity, in particular in repetitive regions such as the centromeres. Our analysis shows that the 'Texas' genome has a high degree of heterozygosity, both at SNPs, short indels, and structural variants level. Many of the SVs are the result of heterozygous transposable element insertions, and in many cases, they also contain genic sequences. In addition to the direct consequences of this genic variability on the presence/absence of genes, our results show that variants located close to genes are often associated with allele-specific gene expression, which highlights the importance of heterozygous SVs in almond., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nanjing Agricultural University.)
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- 2024
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308. Exploring large-scale gene coexpression networks in peach ( Prunus persica L.): a new tool for predicting gene function.
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de Los Cobos FP, García-Gómez BE, Orduña-Rubio L, Batlle I, Arús P, Matus JT, and Eduardo I
- Abstract
Peach is a model for Prunus genetics and genomics, however, identifying and validating genes associated to peach breeding traits is a complex task. A gene coexpression network (GCN) capable of capturing stable gene-gene relationships would help researchers overcome the intrinsic limitations of peach genetics and genomics approaches and outline future research opportunities. In this study, we created four GCNs from 604 Illumina RNA-Seq libraries. We evaluated the performance of every GCN in predicting functional annotations using an algorithm based on the 'guilty-by-association' principle. The GCN with the best performance was COO300, encompassing 21 956 genes. To validate its performance predicting gene function, we performed two case studies. In case study 1, we used two genes involved in fruit flesh softening: the endopolygalacturonases PpPG21 and PpPG22 . Genes coexpressing with both genes were extracted and referred to as melting flesh (MF) network. Finally, we performed an enrichment analysis of MF network and compared the results with the current knowledge regarding peach fruit softening. The MF network mostly included genes involved in cell wall expansion and remodeling, and with expressions triggered by ripening-related phytohormones, such as ethylene, auxin, and methyl jasmonate. In case study 2, we explored potential targets of the anthocyanin regulator PpMYB10.1 by comparing its gene-centered coexpression network with that of its grapevine orthologues, identifying a common regulatory network. These results validated COO300 as a powerful tool for peach and Prunus research. This network, renamed as PeachGCN v1.0, and the scripts required to perform a function prediction analysis are available at https://github.com/felipecobos/PeachGCN., Competing Interests: The authors declare that they have no conflict of interest., (© The Author(s) 2024. Published by Oxford University Press on behalf of Nanjing Agricultural University.)
- Published
- 2024
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309. Inheritance of Fruit Red-Flesh Patterns in Peach.
- Author
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Zaracho N, Reig G, Kalluri N, Arús P, and Eduardo I
- Abstract
Fruit color is an important trait in peach from the point of view of consumer preference, nutritional content, and diversification of fruit typologies. Several genes and phenotypes have been described for peach flesh and skin color, and although peach color knowledge has increased in the last few years, some fruit color patterns observed in peach breeding programs have not been carefully described. In this work, we first describe some peach mesocarp color patterns that have not yet been described in a collection of commercial peach cultivars, and we also study the genetic inheritance of the red dots present in the flesh (RDF) and red color around the stone (CAS) in several intra- and interspecific segregating populations for both traits. For RDF, we identified a QTL at the beginning of G5 in two intraspecific populations, and for CAS we identified a major QTL in G4 in both an intraspecific and an interspecific population between almond and peach. Finally, we discuss the interaction between these QTLs and some other genes previously identified in peach, such as dominant blood flesh ( DBF ), color around the stone ( Cs ), subacid ( D ) and the maturity date ( MD ), and the implications for peach breeding. The results obtained here will help peach germplasm curators and breeders to better characterize their plant materials and to develop an integrated system of molecular markers to select these traits.
- Published
- 2023
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310. Development and Evaluation of an Axiom TM 60K SNP Array for Almond ( Prunus dulcis ).
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Duval H, Coindre E, Ramos-Onsins SE, Alexiou KG, Rubio-Cabetas MJ, Martínez-García PJ, Wirthensohn M, Dhingra A, Samarina A, and Arús P
- Abstract
A high-density single nucleotide polymorphism (SNP) array is essential to enable faster progress in plant breeding for new cultivar development. In this regard, we have developed an Axiom 60K almond SNP array by resequencing 81 almond accessions. For the validation of the array, a set of 210 accessions were genotyped and 82.8% of the SNPs were classified in the best recommended SNPs. The rate of missing data was between 0.4% and 2.7% for the almond accessions and less than 15.5% for the few peach and wild accessions, suggesting that this array can be used for peach and interspecific peach × almond genetic studies. The values of the two SNPs linked to the RMja (nematode resistance) and SK (bitterness) genes were consistent. We also genotyped 49 hybrids from an almond F2 progeny and could build a genetic map with a set of 1159 SNPs. Error rates, less than 1%, were evaluated by comparing replicates and by detection of departures from Mendelian inheritance in the F2 progeny. This almond array is commercially available and should be a cost-effective genotyping tool useful in the search for new genes and quantitative traits loci (QTL) involved in the control of agronomic traits.
- Published
- 2023
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311. Genomic analyses provide insights into peach local adaptation and responses to climate change.
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Li Y, Cao K, Li N, Zhu G, Fang W, Chen C, Wang X, Guo J, Wang Q, Ding T, Wang J, Guan L, Wang J, Liu K, Guo W, Arús P, Huang S, Fei Z, and Wang L
- Subjects
- Adaptation, Physiological genetics, Climate Change, Genome, Plant genetics, Genomics, Prunus persica genetics
- Abstract
The environment has constantly shaped plant genomes, but the genetic bases underlying how plants adapt to environmental influences remain largely unknown. We constructed a high-density genomic variation map of 263 geographically representative peach landraces and wild relatives. A combination of whole-genome selection scans and genome-wide environmental association studies (GWEAS) was performed to reveal the genomic bases of peach adaptation to diverse climates. A total of 2092 selective sweeps that underlie local adaptation to both mild and extreme climates were identified, including 339 sweeps conferring genomic pattern of adaptation to high altitudes. Using genome-wide environmental association studies (GWEAS), a total of 2755 genomic loci strongly associated with 51 specific environmental variables were detected. The molecular mechanism underlying adaptive evolution of high drought, strong UVB, cold hardiness, sugar content, flesh color, and bloom date were revealed. Finally, based on 30 yr of observation, a candidate gene associated with bloom date advance, representing peach responses to global warming, was identified. Collectively, our study provides insights into molecular bases of how environments have shaped peach genomes by natural selection and adds candidate genes for future studies on evolutionary genetics, adaptation to climate changes, and breeding., (© 2021 Li et al.; Published by Cold Spring Harbor Laboratory Press.)
- Published
- 2021
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312. Pedigree analysis of 220 almond genotypes reveals two world mainstream breeding lines based on only three different cultivars.
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Pérez de Los Cobos F, Martínez-García PJ, Romero A, Miarnau X, Eduardo I, Howad W, Mnejja M, Dicenta F, Socias I Company R, Rubio-Cabetas MJ, Gradziel TM, Wirthensohn M, Duval H, Holland D, Arús P, Vargas FJ, and Batlle I
- Abstract
Loss of genetic variability is an increasing challenge in tree breeding programs due to the repeated use of a reduced number of founder genotypes. However, in almond, little is known about the genetic variability in current breeding stocks, although several cases of inbreeding depression have been reported. To gain insights into the genetic structure in modern breeding programs worldwide, marker-verified pedigree data of 220 almond cultivars and breeding selections were analyzed. Inbreeding coefficients, pairwise relatedness, and genetic contribution were calculated for these genotypes. The results reveal two mainstream breeding lines based on three cultivars: "Tuono", "Cristomorto", and "Nonpareil". Descendants from "Tuono" or "Cristomorto" number 76 (sharing 34 descendants), while "Nonpareil" has 71 descendants. The mean inbreeding coefficient of the analyzed genotypes was 0.041, with 14 genotypes presenting a high inbreeding coefficient, over 0.250. Breeding programs from France, the USA, and Spain showed inbreeding coefficients of 0.075, 0.070, and 0.037, respectively. According to their genetic contribution, modern cultivars from Israel, France, the USA, Spain, and Australia trace back to a maximum of six main founding genotypes. Among the group of 65 genotypes carrying the S
f allele for self-compatibility, the mean relatedness coefficient was 0.125, with "Tuono" as the main founding genotype (24.7% of total genetic contribution). The results broaden our understanding about the tendencies followed in almond breeding over the last 50 years and will have a large impact into breeding decision-making process worldwide. Increasing current genetic variability is required in almond breeding programs to assure genetic gain and continuing breeding progress.- Published
- 2021
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313. Resynthesis: Marker-Based Partial Reconstruction of Elite Genotypes in Clonally-Reproducing Plant Species.
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Eduardo I, Alegre S, Alexiou KG, and Arús P
- Abstract
We propose a method for marker-based selection of cultivars of clonally-reproducing plant species which keeps the basic genetic architecture of a top-performing cultivar (usually a partly heterozygous genotype), with the addition of some agronomically relevant differences (such as production time, product appearance or quality), providing added value to the product or cultivation process. The method is based on selecting a) two complementary nearly-inbred lines from successive selfing generations (ideally only F
2 and F3 ) of large size, that may generate individuals with most of their genome identical to the original cultivar but being homozygous for either of the two component haplotypes in the rest, and b) individuals with such characteristics already occurring in the F2 . Option a) allows for introgressing genes from other individuals in one or both of these nearly-inbred lines. Peach, a woody-perennial, clonally-reproduced species, was chosen as a model for a proof of concept of the Resynthesis process due to its biological characteristics: self-compatibility, compact and genetically well-known genome, low recombination rates and relatively short intergeneration time (3-4 years). From 416 F2 seedlings from cultivar Sweet Dream (SD), we obtained seven individuals with 76-94% identity with SD, and selected five pairs of complementary lines with average homozygosity of the two parents ≥0.70 such that crossing would produce some individuals highly similar to SD. The application of this scheme to other species with more complex genomes or biological features, including its generalization to F1 hybrids, is discussed., (Copyright © 2020 Eduardo, Alegre, Alexiou and Arús.)- Published
- 2020
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- View/download PDF
314. Transposons played a major role in the diversification between the closely related almond and peach genomes: results from the almond genome sequence.
- Author
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Alioto T, Alexiou KG, Bardil A, Barteri F, Castanera R, Cruz F, Dhingra A, Duval H, Fernández I Martí Á, Frias L, Galán B, García JL, Howad W, Gómez-Garrido J, Gut M, Julca I, Morata J, Puigdomènech P, Ribeca P, Rubio Cabetas MJ, Vlasova A, Wirthensohn M, Garcia-Mas J, Gabaldón T, Casacuberta JM, and Arús P
- Subjects
- Chromosome Mapping, DNA Methylation, Domestication, Evolution, Molecular, Genes, Plant genetics, Phylogeny, Seeds, Species Specificity, Base Sequence, DNA Transposable Elements genetics, Genome, Plant, Prunus dulcis genetics, Prunus persica genetics
- Abstract
We sequenced the genome of the highly heterozygous almond Prunus dulcis cv. Texas combining short- and long-read sequencing. We obtained a genome assembly totaling 227.6 Mb of the estimated almond genome size of 238 Mb, of which 91% is anchored to eight pseudomolecules corresponding to its haploid chromosome complement, and annotated 27 969 protein-coding genes and 6747 non-coding transcripts. By phylogenomic comparison with the genomes of 16 additional close and distant species we estimated that almond and peach (Prunus persica) diverged around 5.88 million years ago. These two genomes are highly syntenic and show a high degree of sequence conservation (20 nucleotide substitutions per kb). However, they also exhibit a high number of presence/absence variants, many attributable to the movement of transposable elements (TEs). Transposable elements have generated an important number of presence/absence variants between almond and peach, and we show that the recent history of TE movement seems markedly different between them. Transposable elements may also be at the origin of important phenotypic differences between both species, and in particular for the sweet kernel phenotype, a key agronomic and domestication character for almond. Here we show that in sweet almond cultivars, highly methylated TE insertions surround a gene involved in the biosynthesis of amygdalin, whose reduced expression has been correlated with the sweet almond phenotype. Altogether, our results suggest a key role of TEs in the recent history and diversification of almond and its close relative peach., (© 2019 The Authors. The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd.)
- Published
- 2020
- Full Text
- View/download PDF
315. Expression QTL (eQTLs) Analyses Reveal Candidate Genes Associated With Fruit Flesh Softening Rate in Peach [ Prunus persica (L.) Batsch].
- Author
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Carrasco-Valenzuela T, Muñoz-Espinoza C, Riveros A, Pedreschi R, Arús P, Campos-Vargas R, and Meneses C
- Abstract
Significant differences in softening rate have been reported between melting flesh in peach and nectarine varieties. This trait seems to be controlled by several genes. We aimed to identify candidate genes involved in fruit softening rate by integrating quantitative trait loci (QTL) and expression QTL (eQTL) analyses, comparing siblings with contrasting softening rates. We used a segregating population derived from nectarine cv. 'Venus' selfing, which was phenotyped for softening rate during three seasons. Six siblings with high (HSR) and six with low softening rate (LSR) were sequenced using RNA-Seq. A group of 5,041 differentially expressed genes was identified. Also, we found a QTL with a LOD (logarithm of odds) score of 9.7 on LG4 in all analyzed seasons. Furthermore, we detected 1,062 eQTLs, of which 133 were found co-localizing with the identified QTL. Gene Ontology (GO) analysis showed 'Response to auxin' as one the main over-represented categories. Our findings suggest over-expression of auxin biosynthetic related genes in the HSR group, which implies a higher expression and/or accumulation of auxin, thereby triggering fast softening. Conversely, the LSR phenotype might be explained by an altered auxin-homeostasis associated with low auxin levels. This work will contribute to unraveling the genetic mechanisms responsible for the softening rate in peaches and nectarines and lead to the development of molecular markers., (Copyright © 2019 Carrasco-Valenzuela, Muñoz-Espinoza, Riveros, Pedreschi, Arús, Campos-Vargas and Meneses.)
- Published
- 2019
- Full Text
- View/download PDF
316. Integrated QTL detection for key breeding traits in multiple peach progenies.
- Author
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Hernández Mora JR, Micheletti D, Bink M, Van de Weg E, Cantín C, Nazzicari N, Caprera A, Dettori MT, Micali S, Banchi E, Campoy JA, Dirlewanger E, Lambert P, Pascal T, Troggio M, Bassi D, Rossini L, Verde I, Quilot-Turion B, Laurens F, Arús P, and Aranzana MJ
- Subjects
- Flowers growth & development, Fruit growth & development, Genotype, Polymorphism, Single Nucleotide, Probability, Prunus persica growth & development, Solubility, Breeding, Prunus persica genetics, Quantitative Trait Loci genetics
- Abstract
Background: Peach (Prunus persica (L.) Batsch) is a major temperate fruit crop with an intense breeding activity. Breeding is facilitated by knowledge of the inheritance of the key traits that are often of a quantitative nature. QTLs have traditionally been studied using the phenotype of a single progeny (usually a full-sib progeny) and the correlation with a set of markers covering its genome. This approach has allowed the identification of various genes and QTLs but is limited by the small numbers of individuals used and by the narrow transect of the variability analyzed. In this article we propose the use of a multi-progeny mapping strategy that used pedigree information and Bayesian approaches that supports a more precise and complete survey of the available genetic variability., Results: Seven key agronomic characters (data from 1 to 3 years) were analyzed in 18 progenies from crosses between occidental commercial genotypes and various exotic lines including accessions of other Prunus species. A total of 1467 plants from these progenies were genotyped with a 9 k SNP array. Forty-seven QTLs were identified, 22 coinciding with major genes and QTLs that have been consistently found in the same populations when studied individually and 25 were new. A substantial part of the QTLs observed (47%) would not have been detected in crosses between only commercial materials, showing the high value of exotic lines as a source of novel alleles for the commercial gene pool. Our strategy also provided estimations on the narrow sense heritability of each character, and the estimation of the QTL genotypes of each parent for the different QTLs and their breeding value., Conclusions: The integrated strategy used provides a broader and more accurate picture of the variability available for peach breeding with the identification of many new QTLs, information on the sources of the alleles of interest and the breeding values of the potential donors of such valuable alleles. These results are first-hand information for breeders and a step forward towards the implementation of DNA-informed strategies to facilitate selection of new cultivars with improved productivity and quality.
- Published
- 2017
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- View/download PDF
317. The high-quality draft genome of peach (Prunus persica) identifies unique patterns of genetic diversity, domestication and genome evolution.
- Author
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Verde I, Abbott AG, Scalabrin S, Jung S, Shu S, Marroni F, Zhebentyayeva T, Dettori MT, Grimwood J, Cattonaro F, Zuccolo A, Rossini L, Jenkins J, Vendramin E, Meisel LA, Decroocq V, Sosinski B, Prochnik S, Mitros T, Policriti A, Cipriani G, Dondini L, Ficklin S, Goodstein DM, Xuan P, Del Fabbro C, Aramini V, Copetti D, Gonzalez S, Horner DS, Falchi R, Lucas S, Mica E, Maldonado J, Lazzari B, Bielenberg D, Pirona R, Miculan M, Barakat A, Testolin R, Stella A, Tartarini S, Tonutti P, Arús P, Orellana A, Wells C, Main D, Vizzotto G, Silva H, Salamini F, Schmutz J, Morgante M, and Rokhsar DS
- Subjects
- Chromosome Mapping, Chromosomes, Plant genetics, Molecular Sequence Data, Polymers metabolism, Propanols metabolism, Prunus classification, Agriculture, Biological Evolution, Genetic Variation, Genome, Plant genetics, Prunus genetics
- Abstract
Rosaceae is the most important fruit-producing clade, and its key commercially relevant genera (Fragaria, Rosa, Rubus and Prunus) show broadly diverse growth habits, fruit types and compact diploid genomes. Peach, a diploid Prunus species, is one of the best genetically characterized deciduous trees. Here we describe the high-quality genome sequence of peach obtained from a completely homozygous genotype. We obtained a complete chromosome-scale assembly using Sanger whole-genome shotgun methods. We predicted 27,852 protein-coding genes, as well as noncoding RNAs. We investigated the path of peach domestication through whole-genome resequencing of 14 Prunus accessions. The analyses suggest major genetic bottlenecks that have substantially shaped peach genome diversity. Furthermore, comparative analyses showed that peach has not undergone recent whole-genome duplication, and even though the ancestral triplicated blocks in peach are fragmentary compared to those in grape, all seven paleosets of paralogs from the putative paleoancestor are detectable.
- Published
- 2013
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- View/download PDF
318. The genome of melon (Cucumis melo L.).
- Author
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Garcia-Mas J, Benjak A, Sanseverino W, Bourgeois M, Mir G, González VM, Hénaff E, Câmara F, Cozzuto L, Lowy E, Alioto T, Capella-Gutiérrez S, Blanca J, Cañizares J, Ziarsolo P, Gonzalez-Ibeas D, Rodríguez-Moreno L, Droege M, Du L, Alvarez-Tejado M, Lorente-Galdos B, Melé M, Yang L, Weng Y, Navarro A, Marques-Bonet T, Aranda MA, Nuez F, Picó B, Gabaldón T, Roma G, Guigó R, Casacuberta JM, Arús P, and Puigdomènech P
- Subjects
- Base Sequence, Chromosome Mapping, Chromosomes, Artificial, Bacterial genetics, DNA Transposable Elements genetics, Disease Resistance genetics, Genes, Duplicate genetics, Genes, Plant genetics, Genomics methods, Likelihood Functions, Models, Genetic, Molecular Sequence Annotation, Molecular Sequence Data, Sequence Alignment, Sequence Analysis, DNA, Biological Evolution, Cucumis melo genetics, Genome, Plant genetics, Phylogeny
- Abstract
We report the genome sequence of melon, an important horticultural crop worldwide. We assembled 375 Mb of the double-haploid line DHL92, representing 83.3% of the estimated melon genome. We predicted 27,427 protein-coding genes, which we analyzed by reconstructing 22,218 phylogenetic trees, allowing mapping of the orthology and paralogy relationships of sequenced plant genomes. We observed the absence of recent whole-genome duplications in the melon lineage since the ancient eudicot triplication, and our data suggest that transposon amplification may in part explain the increased size of the melon genome compared with the close relative cucumber. A low number of nucleotide-binding site-leucine-rich repeat disease resistance genes were annotated, suggesting the existence of specific defense mechanisms in this species. The DHL92 genome was compared with that of its parental lines allowing the quantification of sequence variability in the species. The use of the genome sequence in future investigations will facilitate the understanding of evolution of cucurbits and the improvement of breeding strategies.
- Published
- 2012
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- View/download PDF
319. Whole genome comparisons of Fragaria, Prunus and Malus reveal different modes of evolution between Rosaceous subfamilies.
- Author
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Jung S, Cestaro A, Troggio M, Main D, Zheng P, Cho I, Folta KM, Sosinski B, Abbott A, Celton JM, Arús P, Shulaev V, Verde I, Morgante M, Rokhsar D, Velasco R, and Sargent DJ
- Subjects
- Algorithms, Chromosomes, Plant genetics, Conserved Sequence genetics, Fragaria genetics, Genome, Plant genetics, Malus genetics, Phylogeny, Prunus genetics, Sequence Homology, Nucleic Acid, Evolution, Molecular, Genomics, Rosacea genetics
- Abstract
Background: Rosaceae include numerous economically important and morphologically diverse species. Comparative mapping between the member species in Rosaceae have indicated some level of synteny. Recently the whole genome of three crop species, peach, apple and strawberry, which belong to different genera of the Rosaceae family, have been sequenced, allowing in-depth comparison of these genomes., Results: Our analysis using the whole genome sequences of peach, apple and strawberry identified 1399 orthologous regions between the three genomes, with a mean length of around 100 kb. Each peach chromosome showed major orthology mostly to one strawberry chromosome, but to more than two apple chromosomes, suggesting that the apple genome went through more chromosomal fissions in addition to the whole genome duplication after the divergence of the three genera. However, the distribution of contiguous ancestral regions, identified using the multiple genome rearrangements and ancestors (MGRA) algorithm, suggested that the Fragaria genome went through a greater number of small scale rearrangements compared to the other genomes since they diverged from a common ancestor. Using the contiguous ancestral regions, we reconstructed a hypothetical ancestral genome for the Rosaceae 7 composed of nine chromosomes and propose the evolutionary steps from the ancestral genome to the extant Fragaria, Prunus and Malus genomes., Conclusion: Our analysis shows that different modes of evolution may have played major roles in different subfamilies of Rosaceae. The hypothetical ancestral genome of Rosaceae and the evolutionary steps that lead to three different lineages of Rosaceae will facilitate our understanding of plant genome evolution as well as have a practical impact on knowledge transfer among member species of Rosaceae.
- Published
- 2012
- Full Text
- View/download PDF
320. Structure of two melon regions reveals high microsynteny with sequenced plant species.
- Author
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Deleu W, González V, Monfort A, Bendahmane A, Puigdomènech P, Arús P, and Garcia-Mas J
- Subjects
- Chromosome Mapping, Chromosomes, Artificial, Bacterial, Immunity, Innate genetics, Molecular Sequence Data, Repetitive Sequences, Nucleic Acid, Sequence Analysis, DNA, Chromosomes, Plant, Cucurbitaceae genetics, Synteny
- Abstract
In this study, two melon bacterial artificial chromosome (BAC) clones have been sequenced and annotated. BAC 1-21-10 spans 92 kb and contains the nsv locus conferring resistance to the Melon Necrotic Spot Virus (MNSV) in melon linkage group 11. BAC 13J4 spans 98 kb and belongs to a BAC contig containing resistance gene homologues, extending a previous sequenced region of 117 kb in linkage group 4. Both regions have microsyntenic relationships to the model plant species Arabidopsis thaliana, and to Medicago truncatula and Populus trichocarpa. The network of synteny found between melon and each of the sequenced genomes reflects the polyploid structure of Arabidopsis, Populus, and Medicago genomes due to whole genome duplications (WGD). A detailed analysis revealed that both melon regions have a lower relative syntenic quality with Arabidopsis (eurosid II) than when compared to Populus and Medicago (eurosid I). Although phylogenetically Cucurbitales seem to be closer to Fabales than to Malphigiales, synteny was higher between both melon regions and Populus. Presented data imply that the recently completed Populus genome sequence could preferentially be used to obtain positional information in melon, based on microsynteny.
- Published
- 2007
- Full Text
- View/download PDF
321. Self-incompatibility genotypes in almond re-evaluated by PCR, stylar ribonucleases, sequencing analysis and controlled pollinations.
- Author
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López M, Mnejja M, Rovira M, Collins G, Vargas FJ, Arús P, and Batlle I
- Subjects
- Base Sequence, Breeding methods, Cluster Analysis, DNA Primers, Genotype, Molecular Sequence Data, Phylogeny, Polymerase Chain Reaction, Prunus growth & development, Reproduction genetics, Sequence Alignment, Sequence Analysis, DNA, Species Specificity, Alleles, Prunus genetics, Ribonucleases genetics
- Abstract
As part of the almond breeding programme at IRTA, we investigated the S genotypes of several cultivars using a combination of RNase zymograms, testcrosses, pollen-tube growth analysis and molecular identification by PCR analysis. For some of the cultivars examined, discrepancies appeared between their S alleles as reported in the literature and those found in this investigation, leading to a re-evaluation of their S genotypes. Analysis of the stylar ribonucleases (RNases), which are known to correlate with S alleles, of cvs. Achaak, Ardechoise, Desmayo Largueta, Ferrastar, Gabaix, Garbi, Glorieta, Languedoc, Primorskiy and Texas revealed inconsistencies with respect to the S5 and S10 alleles. However, PCR with the conserved primer pair AS1II/AmyC5R failed to detect any of these inconsistencies. When the S alleles from Desmayo Largueta, Gabaix, Primorskiy and Texas were sequenced, Texas and Primorskiy were found to carry the reported S5 allele, while Desmayo Largueta and Gabaix carried a new allele, which has been tentatively denoted as S25 This new S allele, previously reported to be S10, was also identified in Achaak, Ardechoise and Ferrastar. The proposed new S genotypes are Achaak (S2S25), Ardechoise (S1S25), Desmayo Largueta (S1S25), Ferrastar (S2S25) and Gabaix (S10S25). The S alleles of Garbi, Glorieta, Languedoc, Texas and Primorskiy remain as reported in the literature. Testcrosses in the field and laboratory confirmed the new S genotypes. One cultivar (Gabaix) could be assigned to the existing cross-incompatibility group O of unique genotypes, and two new groups were established (XVI and XVII) consisting of two cultivars each. The clarification of these S alleles will be useful in almond breeding programmes and for planning new commercial orchards in the future.
- Published
- 2004
- Full Text
- View/download PDF
322. Comparative mapping and marker-assisted selection in Rosaceae fruit crops.
- Author
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Dirlewanger E, Graziano E, Joobeur T, Garriga-Calderé F, Cosson P, Howad W, and Arús P
- Subjects
- Arabidopsis genetics, Chromosome Mapping, Conserved Sequence genetics, Expressed Sequence Tags, Phenotype, Quantitative Trait Loci genetics, Synteny genetics, Crops, Agricultural genetics, Fruit genetics, Genes, Plant genetics, Genetic Markers genetics, Malus genetics, Prunus genetics
- Abstract
The development of saturated linkage maps using transferable markers, restriction fragment length polymorphisms, and micro-satellites has provided a foundation for fruit tree genetics and breeding. A Prunus reference map with 562 such markers is available, and a further set of 13 maps constructed with a subset of these markers has allowed genome comparison among seven Prunus diploid (x = 8) species (almond, peach, apricot, cherry, Prunus ferganensis, Prunus davidiana, and Prunus cerasifera); marker colinearity was the rule with all of them. Preliminary results of the comparison between apple and Prunus maps suggest a high level of synteny between these two genera. Conserved genomic regions have also been detected between Prunus and Arabidopsis. By using the data from different linkage maps anchored with the reference Prunus map, it has been possible to establish, in a general map, the position of 28 major genes affecting agronomic characters found in different species. Markers tightly linked to the major genes responsible for the expression of important traits (disease/pest resistances, fruit/nut quality, self-incompatibility, etc.) have been developed in apple and Prunus and are currently in use for marker-assisted selection in breeding programs. Quantitative character dissection using linkage maps and candidate gene approaches has already started. Genomic tools such as the Prunus physical map, large EST collections in both Prunus and Malus, and the establishment of the map position of high numbers of ESTs are required for a better understanding of the Rosaceae genome and to foster additional research and applications on fruit tree genetics.
- Published
- 2004
- Full Text
- View/download PDF
323. FITMAPS and SHOWMAP: two programs for graphical comparison and plotting of genetic maps.
- Author
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Graziano E and Arús P
- Subjects
- Genetic Markers, Chromosome Mapping, Computer Graphics, Software
- Published
- 2002
- Full Text
- View/download PDF
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