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Volk GM, Peace CP, Henk AD, Howard NP. DNA profiling with the 20K apple SNP array reveals Malus domestica hybridization and admixture in M. sieversii, M. orientalis, and M. sylvestris genebank accessions. Front Plant Sci 2022; 13:1015658. [PMID: 36311081 PMCID: PMC9606829 DOI: 10.3389/fpls.2022.1015658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/21/2022] [Indexed: 06/16/2023]
Abstract
The USDA-ARS National Plant Germplasm System (NPGS) apple collection in Geneva, NY, USA maintains accessions of the primary Malus domestica (Suckow) Borkh. progenitor species M. sieversii (Ledeb.) M. Roem., M. orientalis Uglitzk., and M. sylvestris (L.) Mill. Many of these accessions originated from seeds that were collected from wild populations in the species' centers of diversity. Some of these accessions have fruit phenotypes that suggest recent M. domestica hybridization, which if true would represent crop contamination of wild species populations and mislabeled species status of NPGS accessions. Pedigree connections and admixture between M. domestica and its progenitor species can be readily identified with apple SNP array data, despite such arrays not being designed for these purposes. To investigate species purity, most (463 accessions) of the NPGS accessions labeled as these three progenitor species were genotyped using the 20K apple SNP array. DNA profiles obtained were compared with a dataset of more than 5000 unique M. domestica apple cultivars. Only 212 accessions (151 M. sieversii, 26 M. orientalis, and 35 M. sylvestris) were identified as "pure" species representatives because their DNA profiles did not exhibit genotypic signatures of recent hybridization with M. domestica. Twenty-one accessions (17 M. sieversii, 1 M. orientalis, and 3 M. sylvestris) previously labeled as wild species were instead fully M. domestica. Previously unrealized hybridization and admixture between wild species and M. domestica was identified in 230 accessions (215 M. sieversii, 9 M. orientalis, and 6 M. sylvestris). Among these species-mislabeled accessions, 'Alexander', 'Gold Reinette', 'Charlamoff', 'Rosmarina Bianca', and 'King of the Pippins' were the most frequently detected M. domestica parents or grandparents. These results have implications for collection management, including germplasm distribution, and might affect conclusions of previous research focused on these three progenitor species in the NPGS apple collection. Specifically, accessions received from the NPGS for breeding and genomics, genetics, and evolutionary biology research might not be truly representative of their previously assigned species.
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Affiliation(s)
- Gayle M. Volk
- United States Department of Agriculture-Agricultural Research Service (USDA-ARS) National Laboratory for Genetic Resources Preservation, Fort Collins, CO, United States
| | - Cameron P. Peace
- Department of Horticulture, Washington State University, Pullman, WA, United States
| | - Adam D. Henk
- United States Department of Agriculture-Agricultural Research Service (USDA-ARS) National Laboratory for Genetic Resources Preservation, Fort Collins, CO, United States
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Peace CP, Bianco L, Troggio M, van de Weg E, Howard NP, Cornille A, Durel CE, Myles S, Migicovsky Z, Schaffer RJ, Costes E, Fazio G, Yamane H, van Nocker S, Gottschalk C, Costa F, Chagné D, Zhang X, Patocchi A, Gardiner SE, Hardner C, Kumar S, Laurens F, Bucher E, Main D, Jung S, Vanderzande S. Apple whole genome sequences: recent advances and new prospects. Hortic Res 2019; 6:59. [PMID: 30962944 PMCID: PMC6450873 DOI: 10.1038/s41438-019-0141-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 03/15/2019] [Accepted: 03/15/2019] [Indexed: 05/19/2023]
Abstract
In 2010, a major scientific milestone was achieved for tree fruit crops: publication of the first draft whole genome sequence (WGS) for apple (Malus domestica). This WGS, v1.0, was valuable as the initial reference for sequence information, fine mapping, gene discovery, variant discovery, and tool development. A new, high quality apple WGS, GDDH13 v1.1, was released in 2017 and now serves as the reference genome for apple. Over the past decade, these apple WGSs have had an enormous impact on our understanding of apple biological functioning, trait physiology and inheritance, leading to practical applications for improving this highly valued crop. Causal gene identities for phenotypes of fundamental and practical interest can today be discovered much more rapidly. Genome-wide polymorphisms at high genetic resolution are screened efficiently over hundreds to thousands of individuals with new insights into genetic relationships and pedigrees. High-density genetic maps are constructed efficiently and quantitative trait loci for valuable traits are readily associated with positional candidate genes and/or converted into diagnostic tests for breeders. We understand the species, geographical, and genomic origins of domesticated apple more precisely, as well as its relationship to wild relatives. The WGS has turbo-charged application of these classical research steps to crop improvement and drives innovative methods to achieve more durable, environmentally sound, productive, and consumer-desirable apple production. This review includes examples of basic and practical breakthroughs and challenges in using the apple WGSs. Recommendations for "what's next" focus on necessary upgrades to the genome sequence data pool, as well as for use of the data, to reach new frontiers in genomics-based scientific understanding of apple.
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Affiliation(s)
- Cameron P. Peace
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - Luca Bianco
- Computational Biology, Fondazione Edmund Mach, San Michele all’Adige, TN 38010 Italy
| | - Michela Troggio
- Department of Genomics and Biology of Fruit Crops, Fondazione Edmund Mach, San Michele all’Adige, TN 38010 Italy
| | - Eric van de Weg
- Plant Breeding, Wageningen University and Research, Wageningen, 6708PB The Netherlands
| | - Nicholas P. Howard
- Department of Horticultural Science, University of Minnesota, St. Paul, MN 55108 USA
- Institut für Biologie und Umweltwissenschaften, Carl von Ossietzky Universität, 26129 Oldenburg, Germany
| | - Amandine Cornille
- GQE – Le Moulon, Institut National de la Recherche Agronomique, University of Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
| | - Charles-Eric Durel
- Institut National de la Recherche Agronomique, Institut de Recherche en Horticulture et Semences, UMR 1345, 49071 Beaucouzé, France
| | - Sean Myles
- Department of Plant, Food and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS B2N 5E3 Canada
| | - Zoë Migicovsky
- Department of Plant, Food and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS B2N 5E3 Canada
| | - Robert J. Schaffer
- The New Zealand Institute for Plant and Food Research Ltd, Motueka, 7198 New Zealand
- School of Biological Sciences, University of Auckland, Auckland, 1142 New Zealand
| | - Evelyne Costes
- AGAP, INRA, CIRAD, Montpellier SupAgro, University of Montpellier, Montpellier, France
| | - Gennaro Fazio
- Plant Genetic Resources Unit, USDA ARS, Geneva, NY 14456 USA
| | - Hisayo Yamane
- Laboratory of Pomology, Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502 Japan
| | - Steve van Nocker
- Department of Horticulture, Michigan State University, East Lansing, MI 48824 USA
| | - Chris Gottschalk
- Department of Horticulture, Michigan State University, East Lansing, MI 48824 USA
| | - Fabrizio Costa
- Department of Genomics and Biology of Fruit Crops, Fondazione Edmund Mach, San Michele all’Adige, TN 38010 Italy
| | - David Chagné
- The New Zealand Institute for Plant and Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, 4474 New Zealand
| | - Xinzhong Zhang
- College of Horticulture, China Agricultural University, 100193 Beijing, China
| | | | - Susan E. Gardiner
- The New Zealand Institute for Plant and Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, 4474 New Zealand
| | - Craig Hardner
- Queensland Alliance of Agriculture and Food Innovation, University of Queensland, St Lucia, 4072 Australia
| | - Satish Kumar
- New Cultivar Innovation, Plant and Food Research, Havelock North, 4130 New Zealand
| | - Francois Laurens
- Institut National de la Recherche Agronomique, Institut de Recherche en Horticulture et Semences, UMR 1345, 49071 Beaucouzé, France
| | - Etienne Bucher
- Institut National de la Recherche Agronomique, Institut de Recherche en Horticulture et Semences, UMR 1345, 49071 Beaucouzé, France
- Agroscope, 1260 Changins, Switzerland
| | - Dorrie Main
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - Sook Jung
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - Stijn Vanderzande
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
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Hardner CM, Hayes BJ, Kumar S, Vanderzande S, Cai L, Piaskowski J, Quero-Garcia J, Campoy JA, Barreneche T, Giovannini D, Liverani A, Charlot G, Villamil-Castro M, Oraguzie N, Peace CP. Prediction of genetic value for sweet cherry fruit maturity among environments using a 6K SNP array. Hortic Res 2019; 6:6. [PMID: 30603092 PMCID: PMC6312542 DOI: 10.1038/s41438-018-0081-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 06/08/2018] [Accepted: 07/15/2018] [Indexed: 05/21/2023]
Abstract
The timing of fruit maturity is an important trait in sweet cherry production and breeding. Phenotypic variation for phenology of fruit maturity in sweet cherry appears to be under strong genetic control, but that control might be complicated by phenotypic instability across environments. Although such genotype-by-environment interaction (G × E) is a common phenomenon in crop plants, knowledge about it is lacking for fruit maturity timing and other sweet cherry traits. In this study, 1673 genome-wide SNP markers were used to estimate genomic relationships among 597 weakly pedigree-connected individuals evaluated over two seasons at three locations in Europe and one location in the USA, thus sampling eight 'environments'. The combined dataset enabled a single meta-analysis to investigate the environmental stability of genomic predictions. Linkage disequilibrium among marker loci declined rapidly with physical distance, and ordination of the relationship matrix suggested no strong structure among germplasm. The most parsimonious G × E model allowed heterogeneous genetic variance and pairwise covariances among environments. Narrow-sense genomic heritability was very high (0.60-0.83), as was accuracy of predicted breeding values (>0.62). Average correlation of additive effects among environments was high (0.96) and breeding values were highly correlated across locations. Results indicated that genomic models can be used in cherry to accurately predict date of fruit maturity for untested individuals in new environments. Limited G × E for this trait indicated that phenotypes of individuals will be stable across similar environments. Equivalent analyses for other sweet cherry traits, for which multiple years of data are commonly available among breeders and cultivar testers, would be informative for predicting performance of elite selections and cultivars in new environments.
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Affiliation(s)
- Craig M. Hardner
- University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Brisbane, QLD 4072 Australia
| | - Ben J. Hayes
- University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Brisbane, QLD 4072 Australia
| | - Satish Kumar
- The New Zealand Institute for Plant and Food Research Limited, Hawke’s Bay Research Centre, Hastings, 4130 New Zealand
| | - Stijn Vanderzande
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - Lichun Cai
- Department of Horticulture, Michigan State University, East Lansing, MI 48824 USA
| | - Julia Piaskowski
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
| | - José Quero-Garcia
- UMR 1332 BFP, INRA, University of Bordeaux, 33140 Nouvelle-Aquitaine, France
| | - José Antonio Campoy
- UMR 1332 BFP, INRA, University of Bordeaux, 33140 Nouvelle-Aquitaine, France
| | - Teresa Barreneche
- UMR 1332 BFP, INRA, University of Bordeaux, 33140 Nouvelle-Aquitaine, France
| | - Daniela Giovannini
- Council for Agricultural Research and Economics (CREA), Fruit Unit of Forlì, Via la Canapona, 1 bis, 47121 Emilia-Romagna, Italy
| | - Alessandro Liverani
- Council for Agricultural Research and Economics (CREA), Fruit Unit of Forlì, Via la Canapona, 1 bis, 47121 Emilia-Romagna, Italy
| | - Gérard Charlot
- Centre Technique Interprofessionnel des Fruits et Légumes (CTIFL), 751 Chemin de Balandran, 30127 Bellegarde, France
| | - Miguel Villamil-Castro
- University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Brisbane, QLD 4072 Australia
| | - Nnadozie Oraguzie
- Department of Horticulture, Washington State University, Irrigated Agriculture Research and Extension Center, 24106N Bunn Road, Prosser, WA 99350 USA
| | - Cameron P. Peace
- Department of Horticulture, Washington State University, Pullman, WA 99164 USA
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Chagné D, Vanderzande S, Kirk C, Profitt N, Weskett R, Gardiner SE, Peace CP, Volz RK, Bassil NV. Validation of SNP markers for fruit quality and disease resistance loci in apple ( Malus × domestica Borkh.) using the OpenArray® platform. Hortic Res 2019; 6:30. [PMID: 30854208 PMCID: PMC6395728 DOI: 10.1038/s41438-018-0114-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 11/01/2018] [Accepted: 12/12/2018] [Indexed: 05/22/2023]
Abstract
Genome mapping has promised much to tree fruit breeding during the last 10 years. Nevertheless, one of the greatest challenges remaining to tree fruit geneticists is the translation of trait loci and whole genome sequences into diagnostic genetic markers that are efficient and cost-effective for use by breeders, who must select genetically optimal parents and subsequently select genetically superior individuals among their progeny. To take this translational step, we designed the apple International RosBREED SNP Consortium OpenArray v1.0 (IRSCOA v1.0) assay using a set of 128 apple single nucleotide polymorphisms (SNPs) linked to fruit quality and pest and disease resistance trait loci. The Thermo Fisher Scientific OpenArray® technology enables multiplexed screening of SNP markers using a real-time PCR instrument with fluorescent probe-based Taqman® assays. We validated the apple IRSCOA v1.0 multi-trait assay by screening 240 phenotyped individuals from the Plant & Food Research apple cultivar breeding programme. This set of individuals comprised commercial and heritage cultivars, elite selections, and families segregating for traits of importance to breeders. In total, 33 SNP markers of the IRSCOA v1.0 were validated for use in marker-assisted selection (MAS) for the scab resistances Rvi2/Vh2, Rvi4/Vh4, Rvi6/Vf, fire blight resistance MR5/RLP1, powdery mildew resistance Pl2, fruit firmness, skin colour, flavour intensity, and acidity. The availability of this set of validated trait-associated SNP markers, which can be used individually on multiple genotyping platforms available to various apple breeding programmes or re-designed using the flanking sequences, represents a large translational genetics step from genomics to crop improvement of apple.
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Affiliation(s)
- David Chagné
- The New Zealand Institute for Plant & Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, New Zealand
| | - Stijn Vanderzande
- Department of Horticulture, Washington State University, Pullman, WA USA
| | - Chris Kirk
- The New Zealand Institute for Plant & Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, New Zealand
| | - Natalie Profitt
- Plant & Food Research, Hawke’s Bay Research Centre, Havelock North, New Zealand
| | - Rosemary Weskett
- Plant & Food Research, Hawke’s Bay Research Centre, Havelock North, New Zealand
| | - Susan E. Gardiner
- The New Zealand Institute for Plant & Food Research Ltd (Plant & Food Research), Palmerston North Research Centre, Palmerston North, New Zealand
| | - Cameron P. Peace
- Department of Horticulture, Washington State University, Pullman, WA USA
| | - Richard K. Volz
- Plant & Food Research, Hawke’s Bay Research Centre, Havelock North, New Zealand
| | - Nahla V. Bassil
- USDA-ARS, National Clonal Germplasm Repository, Corvallis, OR USA
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Howard NP, van de Weg E, Bedford DS, Peace CP, Vanderzande S, Clark MD, Teh SL, Cai L, Luby JJ. Elucidation of the 'Honeycrisp' pedigree through haplotype analysis with a multi-family integrated SNP linkage map and a large apple ( Malus× domestica) pedigree-connected SNP data set. Hortic Res 2017; 4:17003. [PMID: 28243452 PMCID: PMC5321071 DOI: 10.1038/hortres.2017.3] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Revised: 01/27/2017] [Accepted: 01/30/2017] [Indexed: 05/18/2023]
Abstract
The apple (Malus×domestica) cultivar Honeycrisp has become important economically and as a breeding parent. An earlier study with SSR markers indicated the original recorded pedigree of 'Honeycrisp' was incorrect and 'Keepsake' was identified as one putative parent, the other being unknown. The objective of this study was to verify 'Keepsake' as a parent and identify and genetically describe the unknown parent and its grandparents. A multi-family based dense and high-quality integrated SNP map was created using the apple 8 K Illumina Infinium SNP array. This map was used alongside a large pedigree-connected data set from the RosBREED project to build extended SNP haplotypes and to identify pedigree relationships. 'Keepsake' was verified as one parent of 'Honeycrisp' and 'Duchess of Oldenburg' and 'Golden Delicious' were identified as grandparents through the unknown parent. Following this finding, siblings of 'Honeycrisp' were identified using the SNP data. Breeding records from several of these siblings suggested that the previously unreported parent is a University of Minnesota selection, MN1627. This selection is no longer available, but now is genetically described through imputed SNP haplotypes. We also present the mosaic grandparental composition of 'Honeycrisp' for each of its 17 chromosome pairs. This new pedigree and genetic information will be useful in future pedigree-based genetic studies to connect 'Honeycrisp' with other cultivars used widely in apple breeding programs. The created SNP linkage map will benefit future research using the data from the Illumina apple 8 and 20 K and Affymetrix 480 K SNP arrays.
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Affiliation(s)
- Nicholas P Howard
- Department of Horticultural Science, University of Minnesota, St Paul, MN 55104, USA
| | - Eric van de Weg
- Department of Plant Breeding, Wageningen University and Research, Wageningen 6700AJ, The Netherlands
| | - David S Bedford
- Department of Horticultural Science, University of Minnesota, St Paul, MN 55104, USA
| | - Cameron P Peace
- Department of Horticulture and Landscape Architecture, Washington State University, Pullman, WA 99164, USA
| | - Stijn Vanderzande
- Department of Horticulture and Landscape Architecture, Washington State University, Pullman, WA 99164, USA
| | - Matthew D Clark
- Department of Horticultural Science, University of Minnesota, St Paul, MN 55104, USA
| | - Soon Li Teh
- Department of Horticultural Science, University of Minnesota, St Paul, MN 55104, USA
| | - Lichun Cai
- Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA
| | - James J Luby
- Department of Horticultural Science, University of Minnesota, St Paul, MN 55104, USA
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Peace CP. DNA-informed breeding of rosaceous crops: promises, progress and prospects. Hortic Res 2017; 4:17006. [PMID: 28326185 PMCID: PMC5350264 DOI: 10.1038/hortres.2017.6] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Revised: 02/02/2017] [Accepted: 02/03/2017] [Indexed: 05/18/2023]
Abstract
Crops of the Rosaceae family provide valuable contributions to rural economies and human health and enjoyment. Sustained solutions to production challenges and market demands can be met with genetically improved new cultivars. Traditional rosaceous crop breeding is expensive and time-consuming and would benefit from improvements in efficiency and accuracy. Use of DNA information is becoming conventional in rosaceous crop breeding, contributing to many decisions and operations, but only after past decades of solved challenges and generation of sufficient resources. Successes in deployment of DNA-based knowledge and tools have arisen when the 'chasm' between genomics discoveries and practical application is bridged systematically. Key steps are establishing breeder desire for use of DNA information, adapting tools to local breeding utility, identifying efficient application schemes, accessing effective services in DNA-based diagnostics and gaining experience in integrating DNA information into breeding operations and decisions. DNA-informed germplasm characterization for revealing identity and relatedness has benefitted many programs and provides a compelling entry point to reaping benefits of genomics research. DNA-informed germplasm evaluation for predicting trait performance has enabled effective reallocation of breeding resources when applied in pioneering programs. DNA-based diagnostics is now expanding from specific loci to genome-wide considerations. Realizing the full potential of this expansion will require improved accuracy of predictions, multi-trait DNA profiling capabilities, streamlined breeding information management systems, strategies that overcome plant-based features that limit breeding progress and widespread training of current and future breeding personnel and allied scientists.
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Affiliation(s)
- Cameron P Peace
- Department of Horticulture, Washington State University, PO Box 646414, Pullman, WA 99164-6414, USA
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Longhi S, Hamblin MT, Trainotti L, Peace CP, Velasco R, Costa F. A candidate gene based approach validates Md-PG1 as the main responsible for a QTL impacting fruit texture in apple (Malus x domestica Borkh). BMC Plant Biol 2013; 13:37. [PMID: 23496960 PMCID: PMC3599472 DOI: 10.1186/1471-2229-13-37] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2012] [Accepted: 02/22/2013] [Indexed: 05/03/2023]
Abstract
BACKGROUND Apple is a widely cultivated fruit crop for its quality properties and extended storability. Among the several quality factors, texture is the most important and appreciated, and within the apple variety panorama the cortex texture shows a broad range of variability. Anatomically these variations depend on degradation events occurring in both fruit primary cell wall and middle lamella. This physiological process is regulated by an enzymatic network generally encoded by large gene families, among which polygalacturonase is devoted to the depolymerization of pectin. In apple, Md-PG1, a key gene belonging to the polygalacturonase gene family, was mapped on chromosome 10 and co-localized within the statistical interval of a major hot spot QTL associated to several fruit texture sub-phenotypes. RESULTS In this work, a QTL corresponding to the position of Md-PG1 was validated and new functional alleles associated to the fruit texture properties in 77 apple cultivars were discovered. 38 SNPs genotyped by gene full length resequencing and 2 SSR markers ad hoc targeted in the gene metacontig were employed. Out of this SNP set, eleven were used to define three significant haplotypes statistically associated to several texture components. The impact of Md-PG1 in the fruit cell wall disassembly was further confirmed by the cortex structure electron microscope scanning in two apple varieties characterized by opposite texture performance, such as 'Golden Delicious' and 'Granny Smith'. CONCLUSIONS The results here presented step forward into the genetic dissection of fruit texture in apple. This new set of haplotypes, and microsatellite alleles, can represent a valuable toolbox for a more efficient parental selection as well as the identification of new apple accessions distinguished by superior fruit quality features.
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Affiliation(s)
- Sara Longhi
- Research and Innovation Centre, Foundation Edmund Mach, Via Mach 1, 38010, San Michele all’Adige, TN, Italy
| | - Martha T Hamblin
- Institute for Genomic Diversity, Cornell University, 130 Biotechnology Building, 14853-2703, Ithaca, NY, USA
| | - Livio Trainotti
- Dipartimento di Biologia, Università di Padova, Viale G. Colombo 3, 35121, Padova, Italy
| | - Cameron P Peace
- Horticulture and Landscape Architecture, Washington State University, PO Box 646414, 99164-6414, Pullman, WA, USA
| | - Riccardo Velasco
- Research and Innovation Centre, Foundation Edmund Mach, Via Mach 1, 38010, San Michele all’Adige, TN, Italy
| | - Fabrizio Costa
- Research and Innovation Centre, Foundation Edmund Mach, Via Mach 1, 38010, San Michele all’Adige, TN, Italy
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Costa F, Peace CP, Stella S, Serra S, Musacchi S, Bazzani M, Sansavini S, Van de Weg WE. QTL dynamics for fruit firmness and softening around an ethylene-dependent polygalacturonase gene in apple (Malus x domestica Borkh.). J Exp Bot 2010; 61:3029-39. [PMID: 20462945 PMCID: PMC2892147 DOI: 10.1093/jxb/erq130] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2010] [Revised: 03/30/2010] [Accepted: 04/21/2010] [Indexed: 05/19/2023]
Abstract
Apple fruit are well known for their storage life, although a wide range of flesh softening occurs among cultivars. Loss of firmness is genetically coordinated by the action of several cell wall enzymes, including polygalacturonase (PG) which depolymerizes cell wall pectin. By the analysis of 'Fuji' (Fj) and 'Mondial Gala' (MG), two apple cultivars characterized by a distinctive ripening behaviour, the involvement of Md-PG1 in the fruit softening process was confirmed to be ethylene dependent by its transcript being down-regulated by 1-methylcyclopropene treatment in MG and in the low ethylene-producing cultivar Fj. Comparing the PG sequence of MG and Fj, a single nucleotide polymorphism (SNP) was discovered. Segregation of the Md-PG1(SNP) marker within a full-sib population, obtained by crossing Fj and MG, positioned Md-PG1 in the linkage group 10 of MG, co-located with a quantitative trait locus (QTL) identified for fruit firmness in post-harvest ripening. Fruit firmness and softening analysed in different stages, from harvest to post-storage, determined a shift of the QTL from the top of this linkage group to the bottom, where Md-ACO1, a gene involved in ethylene biosynthesis in apple, is mapped. This PG-ethylene-related gene has beeen positioned in the apple genome on chromosome 10, which contains several QTLs controlling fruit firmness and softening, and the interplay among the allelotypes of the linked loci should be considered in the design of a marker-assisted selection breeding scheme for apple texture.
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Affiliation(s)
- Fabrizio Costa
- Department of Fruit Tree and Woody Plant Science, University of Bologna, Bologna, Italy.
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Abstract
BACKGROUND Prunus fruit development, growth, ripening, and senescence includes major biochemical and sensory changes in texture, color, and flavor. The genetic dissection of these complex processes has important applications in crop improvement, to facilitate maximizing and maintaining stone fruit quality from production and processing through to marketing and consumption. Here we present an integrated fruit quality gene map of Prunus containing 133 genes putatively involved in the determination of fruit texture, pigmentation, flavor, and chilling injury resistance. RESULTS A genetic linkage map of 211 markers was constructed for an intraspecific peach (Prunus persica) progeny population, Pop-DG, derived from a canning peach cultivar 'Dr. Davis' and a fresh market cultivar 'Georgia Belle'. The Pop-DG map covered 818 cM of the peach genome and included three morphological markers, 11 ripening candidate genes, 13 cold-responsive genes, 21 novel EST-SSRs from the ChillPeach database, 58 previously reported SSRs, 40 RAFs, 23 SRAPs, 14 IMAs, and 28 accessory markers from candidate gene amplification. The Pop-DG map was co-linear with the Prunus reference T x E map, with 39 SSR markers in common to align the maps. A further 158 markers were bin-mapped to the reference map: 59 ripening candidate genes, 50 cold-responsive genes, and 50 novel EST-SSRs from ChillPeach, with deduced locations in Pop-DG via comparative mapping. Several candidate genes and EST-SSRs co-located with previously reported major trait loci and quantitative trait loci for chilling injury symptoms in Pop-DG. CONCLUSION The candidate gene approach combined with bin-mapping and availability of a community-recognized reference genetic map provides an efficient means of locating genes of interest in a target genome. We highlight the co-localization of fruit quality candidate genes with previously reported fruit quality QTLs. The fruit quality gene map developed here is a valuable tool for dissecting the genetic architecture of fruit quality traits in Prunus crops.
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Affiliation(s)
- Ebenezer A Ogundiwin
- Plant Sciences Department, University of California Davis, 1 Shields Ave., Davis CA 95616, USA
| | - Cameron P Peace
- Department of Horticulture and Landscape Architecture, Washington State University, Pullman, WA 99164 USA
| | - Thomas M Gradziel
- Plant Sciences Department, University of California Davis, 1 Shields Ave., Davis CA 95616, USA
| | - Dan E Parfitt
- Plant Sciences Department, University of California Davis, 1 Shields Ave., Davis CA 95616, USA
| | - Fredrick A Bliss
- Plant Sciences Department, University of California Davis, 1 Shields Ave., Davis CA 95616, USA
| | - Carlos H Crisosto
- Plant Sciences Department, University of California Davis, 1 Shields Ave., Davis CA 95616, USA
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Ogundiwin EA, Martí C, Forment J, Pons C, Granell A, Gradziel TM, Peace CP, Crisosto CH. Development of ChillPeach genomic tools and identification of cold-responsive genes in peach fruit. Plant Mol Biol 2008; 68:379-97. [PMID: 18661259 DOI: 10.1007/s11103-008-9378-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2007] [Accepted: 07/11/2008] [Indexed: 05/11/2023]
Abstract
The ChillPeach database was developed to facilitate identification of genes controlling chilling injury (CI), a global-scale post-harvest physiological disorder in peach. It contained 7,862 high-quality ESTs (comprising 4,468 unigenes) obtained from mesocarp tissues of two full-sib progeny contrasting for CI, about 48 and 13% of which are unique to Prunus and Arabidopsis, respectively. All ESTs are in the Gateway vector to facilitate functional assessment of the genes. The data set contained several putative SNPs and 184 unigenes with high quality SSRs, of which 42% were novel to Prunus. Microarray slides containing 4,261 ChillPeach unigenes were printed and used in a pilot experiment to identify differentially expressed genes in cold-treated compared to control mesocarp tissues, and in vegetative compared to mesocarp tissues. Quantitative RT-PCR (qRT-PCR) confirmed microarray results for all 13 genes tested. The microarray and qRT-PCR analyses indicated that ChillPeach is rich in putative fruit-specific and novel cold-induced genes. A website ( http://bioinfo.ibmcp.upv.es/genomics/ChillPeachDB ) was created holding detailed information on the ChillPeach database.
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Waldron J, Peace CP, Searle IR, Furtado A, Wade N, Findlay I, Graham MW, Carroll BJ. Randomly Amplified DNA Fingerprinting: A Culmination of DNA Marker Technologies Based on Arbitrarily-Primed PCR Amplification. J Biomed Biotechnol 2002; 2:141-150. [PMID: 12488579 PMCID: PMC161367 DOI: 10.1155/s1110724302206026] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
Arbitrarily-primed DNA markers can be very useful for genetic fingerprinting and for facilitating positional cloning of genes. This class of technologies is particularly important for less studied species, for which genome sequence information is generally not known. The technologies include Randomly Amplified Polymorphic DNA (RAPD), DNA Amplification Fingerprinting (DAF), and Amplified Fragment Length Polymorphism (AFLP). We have modified the DAF protocol to produce a robust PCR-based DNA marker technology called Randomly Amplified DNA Fingerprinting (RAF). While the protocol most closely resembles DAF, it is much more robust and sensitive because amplicons are labelled with either radioactive 33P or fluorescence in a 30-cycle PCR, and then separated and detected on large polyacrylamide sequencing gels. Highly reproducible RAF markers were readily amplified from either purified DNA or alkali-treated intact leaf tissue. RAF markers typically display dominant inheritance. However, a small but significant portion of the RAF markers exhibit codominant inheritance and represent microsatellite loci. RAF compares favorably with AFLP for efficiency and reliability on many plant genomes, including the very large and complex genomes of sugarcane and wheat. While the two technologies detect about the same number of markers per large polyacrylamide gel, advantages of RAF over AFLP include: (i) no requirement for enzymatic template preparation, (ii) one instead of two PCRs, and (iii) overall cost. RAF and AFLP were shown to differ in the selective basis of amplification of markers from genomes and could therefore be used in complementary fashion for some genetic studies.
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Affiliation(s)
- Julie Waldron
- Department of Biochemistry and Molecular Biology, The University of Queensland, Brisbane, Queensland 4072, Australia
- School of Land and Food Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Cameron P. Peace
- Department of Biochemistry and Molecular Biology, The University of Queensland, Brisbane, Queensland 4072, Australia
- School of Land and Food Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia
- CSIRO Division of Plant Industry, 306 Carmody Road,
St Lucia, Queensland 4067, Australia
| | - Iain R. Searle
- Department of Biochemistry and Molecular Biology, The University of Queensland, Brisbane, Queensland 4072, Australia
- School of Land and Food Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Agnelo Furtado
- Department of Biochemistry and Molecular Biology, The University of Queensland, Brisbane, Queensland 4072, Australia
- School of Land and Food Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia
- Bureau of Sugar Experiment Stations, Indooroopilly, Queensland 4068, Australia
| | - Nick Wade
- Queensland Agricultural Biotechnology Centre, Gehrmann Labs, St Lucia, Queensland 4072, Australia
| | - Ian Findlay
- Australian Genome Research Facility, Gehrmann Labs, St Lucia, Queensland 4072, Australia
| | - Michael W. Graham
- Queensland Agricultural Biotechnology Centre, Gehrmann Labs, St Lucia, Queensland 4072, Australia
| | - Bernard J. Carroll
- Department of Biochemistry and Molecular Biology, The University of Queensland, Brisbane, Queensland 4072, Australia
- School of Land and Food Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia
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