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Tello J, Todić S, Ferradás Y, Nikolic M, Sabovljević A, Ivanišević D, Tomanović Ž, Grbić M, Martínez-Zapater JM, Ibáñez J. The genetic characterization of grapevines prospected in old Serbian vineyards reveals multiple relationships between traditional varieties of the Balkans. FRONTIERS IN PLANT SCIENCE 2024; 15:1391679. [PMID: 39055361 PMCID: PMC11269227 DOI: 10.3389/fpls.2024.1391679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 06/28/2024] [Indexed: 07/27/2024]
Abstract
Serbia preserves a high number of local grape varieties, which have been cultivated across the country for centuries. Now, these ancient varieties are in the spotlight, and there is a global trend towards their recovery and characterization because they can revitalize regional, national and international grape and wine sectors. In addition, their genetic study can be useful to find new pedigree relationships to reveal how local varietal assortment evolved over time. Here, the genetic characterization of 138 grapevines from old Serbian vineyards revealed 59 different genetic profiles, 49 of which were identified as grapevine varieties whose origin in the country could be linked to some major Serbian historical periods. Most of the genetic profiles found in this work arranged in a complex pedigree network that integrates numerous grapevine varieties from diverse Balkan countries, agreeing with an intense exchange of plant material among Balkan regions for centuries. This analysis identified some varieties as important founders of Balkan genetic resources, like 'Alba Imputotato', 'Braghina Rosie', 'Coarna Alba', and 'Vulpea'. After deepening into their genealogy, these major direct founders might have ultimately derived from 'Visparola', an ancient variety of likely Balkan origin with a major founding role in some European regions. Our results also indicated the genetic singularity of the grapevine resources from the Balkans when compared to those from other relevant winemaking regions, supporting the interest of their detailed study to evaluate their oenological potential and for the eventual identification of useful traits to counteract current viticulture challenges.
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Affiliation(s)
- Javier Tello
- Departamento de Viticultura, Instituto de Ciencias de la Vid y del Vino [ICVV, CSIC-Gobierno de La Rioja-Universidad de La Rioja (CSIC-CAR-UR)], Logroño, Spain
| | - Slavica Todić
- Faculty of Agriculture, Department of Viticulture, University of Belgrade, Belgrade, Serbia
| | - Yolanda Ferradás
- Departamento de Viticultura, Instituto de Ciencias de la Vid y del Vino [ICVV, CSIC-Gobierno de La Rioja-Universidad de La Rioja (CSIC-CAR-UR)], Logroño, Spain
| | - Miroslav Nikolic
- Institute for Multidisciplinary Research, University of Belgrade, Belgrade, Serbia
| | | | | | - Željko Tomanović
- Faculty of Biology, University of Belgrade, Belgrade, Serbia
- Serbian Academy of Sciences and Arts, Belgrade, Serbia
| | - Miodrag Grbić
- Departamento de Viticultura, Instituto de Ciencias de la Vid y del Vino [ICVV, CSIC-Gobierno de La Rioja-Universidad de La Rioja (CSIC-CAR-UR)], Logroño, Spain
- Faculty of Biology, University of Belgrade, Belgrade, Serbia
- Department of Biology, University of Western Ontario, London, ON, Canada
- Center for Interdisciplinary and Multidisciplinary Studies, University of Montenegro, Podgorica, Montenegro
| | - José Miguel Martínez-Zapater
- Departamento de Viticultura, Instituto de Ciencias de la Vid y del Vino [ICVV, CSIC-Gobierno de La Rioja-Universidad de La Rioja (CSIC-CAR-UR)], Logroño, Spain
| | - Javier Ibáñez
- Departamento de Viticultura, Instituto de Ciencias de la Vid y del Vino [ICVV, CSIC-Gobierno de La Rioja-Universidad de La Rioja (CSIC-CAR-UR)], Logroño, Spain
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Brault C, Segura V, Roques M, Lamblin P, Bouckenooghe V, Pouzalgues N, Cunty C, Breil M, Frouin M, Garcin L, Camps L, Ducasse MA, Romieu C, Masson G, Julliard S, Flutre T, Le Cunff L. Enhancing grapevine breeding efficiency through genomic prediction and selection index. G3 (BETHESDA, MD.) 2024; 14:jkae038. [PMID: 38401528 PMCID: PMC10989862 DOI: 10.1093/g3journal/jkae038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/09/2024] [Accepted: 02/18/2024] [Indexed: 02/26/2024]
Abstract
Grapevine (Vitis vinifera) breeding reaches a critical point. New cultivars are released every year with resistance to powdery and downy mildews. However, the traditional process remains time-consuming, taking 20-25 years, and demands the evaluation of new traits to enhance grapevine adaptation to climate change. Until now, the selection process has relied on phenotypic data and a limited number of molecular markers for simple genetic traits such as resistance to pathogens, without a clearly defined ideotype, and was carried out on a large scale. To accelerate the breeding process and address these challenges, we investigated the use of genomic prediction, a methodology using molecular markers to predict genotypic values. In our study, we focused on 2 existing grapevine breeding programs: Rosé wine and Cognac production. In these programs, several families were created through crosses of emblematic and interspecific resistant varieties to powdery and downy mildews. Thirty traits were evaluated for each program, using 2 genomic prediction methods: Genomic Best Linear Unbiased Predictor and Least Absolute Shrinkage Selection Operator. The results revealed substantial variability in predictive abilities across traits, ranging from 0 to 0.9. These discrepancies could be attributed to factors such as trait heritability and trait characteristics. Moreover, we explored the potential of across-population genomic prediction by leveraging other grapevine populations as training sets. Integrating genomic prediction allowed us to identify superior individuals for each program, using multivariate selection index method. The ideotype for each breeding program was defined collaboratively with representatives from the wine-growing sector.
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Affiliation(s)
- Charlotte Brault
- UMT Geno-Vigne®, IFV, INRAE, Institut Agro Montpellier, Montpellier 34398, France
- Institut Français de la vigne et du vin, Pôle National Matériel Végétal, Le Grau du Roi 30240, France
| | - Vincent Segura
- UMT Geno-Vigne®, IFV, INRAE, Institut Agro Montpellier, Montpellier 34398, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro Montpellier, Montpellier 34398, France
| | - Maryline Roques
- UMT Geno-Vigne®, IFV, INRAE, Institut Agro Montpellier, Montpellier 34398, France
- Institut Français de la vigne et du vin, Pôle National Matériel Végétal, Le Grau du Roi 30240, France
| | - Pauline Lamblin
- Institut Français de la vigne et du vin, Pôle National Matériel Végétal, Le Grau du Roi 30240, France
| | - Virginie Bouckenooghe
- UMT Geno-Vigne®, IFV, INRAE, Institut Agro Montpellier, Montpellier 34398, France
- Institut Français de la vigne et du vin, Pôle National Matériel Végétal, Le Grau du Roi 30240, France
| | | | - Constance Cunty
- Institut Français de la vigne et du vin, Pôle National Matériel Végétal, Le Grau du Roi 30240, France
- Centre du Rosé, Vidauban 83550, France
| | - Matthieu Breil
- UMT Geno-Vigne®, IFV, INRAE, Institut Agro Montpellier, Montpellier 34398, France
- Institut Français de la vigne et du vin, Pôle National Matériel Végétal, Le Grau du Roi 30240, France
| | - Marina Frouin
- Conservatoire du Vignoble Charentais, Institut de Formation de Richemont, Cherves-Richemont 16370, France
| | - Léa Garcin
- Institut Français de la vigne et du vin, Pôle National Matériel Végétal, Le Grau du Roi 30240, France
- Conservatoire du Vignoble Charentais, Institut de Formation de Richemont, Cherves-Richemont 16370, France
| | - Louise Camps
- Conservatoire du Vignoble Charentais, Institut de Formation de Richemont, Cherves-Richemont 16370, France
| | - Marie-Agnès Ducasse
- Institut Français de la vigne et du vin, Pôle National Matériel Végétal, Le Grau du Roi 30240, France
| | - Charles Romieu
- UMT Geno-Vigne®, IFV, INRAE, Institut Agro Montpellier, Montpellier 34398, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro Montpellier, Montpellier 34398, France
| | - Gilles Masson
- Institut Français de la vigne et du vin, Pôle National Matériel Végétal, Le Grau du Roi 30240, France
- Centre du Rosé, Vidauban 83550, France
| | - Sébastien Julliard
- Conservatoire du Vignoble Charentais, Institut de Formation de Richemont, Cherves-Richemont 16370, France
| | - Timothée Flutre
- INRAE, CNRS, AgroParisTech, Université Paris-Saclay, GQE—Le Moulon, Gif-sur-Yvette 91190, France
| | - Loïc Le Cunff
- UMT Geno-Vigne®, IFV, INRAE, Institut Agro Montpellier, Montpellier 34398, France
- Institut Français de la vigne et du vin, Pôle National Matériel Végétal, Le Grau du Roi 30240, France
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García-Abadillo J, Barba P, Carvalho T, Sosa-Zuñiga V, Lozano R, Carvalho HF, Garcia-Rojas M, Salazar E, y Sánchez JI. Dissecting the complex genetic basis of pre- and post-harvest traits in Vitis vinifera L. using genome-wide association studies. HORTICULTURE RESEARCH 2024; 11:uhad283. [PMID: 38487297 PMCID: PMC10939405 DOI: 10.1093/hr/uhad283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 12/17/2023] [Indexed: 03/17/2024]
Abstract
Addressing the pressing challenges in agriculture necessitates swift advancements in breeding programs, particularly for perennial crops like grapevines. Moving beyond the traditional biparental quantitative trait loci (QTL) mapping, we conducted a genome-wide association study (GWAS) encompassing 588 Vitis vinifera L. cultivars from a Chilean breeding program, spanning three seasons and testing 13 key yield-related traits. A strong candidate gene, Vitvi11g000454, located on chromosome 11 and related to plant response to biotic and abiotic stresses through jasmonic acid signaling, was associated with berry width and holds potential for enhancing berry size in grape breeding. We also mapped novel QTL associated with post-harvest traits across chromosomes 2, 4, 9, 11, 15, 18, and 19, broadening our grasp on the genetic intricacies dictating fruit post-harvest behavior, including decay, shriveling, and weight loss. Leveraging gene ontology annotations, we drew parallels between traits and scrutinized candidate genes, laying a robust groundwork for future trait-feature identification endeavors in plant breeding. We also highlighted the importance of carefully considering the choice of the response variable in GWAS analyses, as the use of best linear unbiased estimators (BLUEs) corrections in our study may have led to the suppression of some common QTL in grapevine traits. Our results underscore the imperative of pioneering non-destructive evaluation techniques for long-term conservation traits, offering grape breeders and cultivators insights to improve post-harvest table grape quality and minimize waste.
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Affiliation(s)
- Julian García-Abadillo
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Campus de Montegancedo - Pozuelo de Alarcón, 28223, Madrid, Spain
| | - Paola Barba
- Genetic Resources Unit and Germplasm Bank, La Platina, Instituto de Investigaciones Agropecuarias, Av Santa Rosa 11610, La pintana, Santiago, Chile
- Sun World International, 28994 Gromer Av, Wasco, 93280, California, USA
| | | | - Viviana Sosa-Zuñiga
- Instituto de Ciencias Químicas y Aplicadas (ICQA), Universidad Autónoma de Chile, El Llano Subercaseaux 2801, Santiago, Chile
| | | | - Humberto Fanelli Carvalho
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Campus de Montegancedo - Pozuelo de Alarcón, 28223, Madrid, Spain
| | - Miguel Garcia-Rojas
- Genetic Resources Unit and Germplasm Bank, La Platina, Instituto de Investigaciones Agropecuarias, Av Santa Rosa 11610, La pintana, Santiago, Chile
| | - Erika Salazar
- Genetic Resources Unit and Germplasm Bank, La Platina, Instituto de Investigaciones Agropecuarias, Av Santa Rosa 11610, La pintana, Santiago, Chile
| | - Julio Isidro y Sánchez
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Campus de Montegancedo - Pozuelo de Alarcón, 28223, Madrid, Spain
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Guedes LM, Henríquez IAA, Sanhueza C, Rodríguez-Cerda L, Figueroa C, Gavilán E, Aguilera N. Alterations induced by Colomerus vitis on the structural and physiological leaf features of two grape cultivars. EXPERIMENTAL & APPLIED ACAROLOGY 2024; 92:183-201. [PMID: 38358409 DOI: 10.1007/s10493-023-00884-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 12/29/2023] [Indexed: 02/16/2024]
Abstract
Vitis vinifera is cultivated worldwide for its high nutritional and commercial value. More than 60 grape cultivars are cultivated in Chile. Two of these, the país and the corinto cultivars, are the oldest known and widely used for the preparation of traditional homemade drinks and consumption as table grapes. These two grape cultivars are affected by Colomerus vitis, an eriophyid mite which establishes on their leaves and forms erinea, where the mite and its offspring obtain shelter and food. Although C. vitis has a cosmopolitan distribution, few studies of its impact on the structure and physiology of affected plants have been reported. Herein we aimed to evaluate the impact of C. vitis infection on the structural and physiological leaf performance of the two grape cultivars. The results showed tissue hyperplasia and cell hypertrophy in the epidermis, with an overproduction of trichomes and emergences in the abaxial epidermis in both cultivars. The anatomical changes were similar between the país and corinto cultivars, but they were proportionally greater in the país, where the area affected by the erinea were greater. No significant changes were detected in the photosynthetic pigment content; however, there was an increase in the total soluble sugars content in the erineum leaves of the país cultivar. Higher contents of anthocyanins and total phenols, as well as the presence of the pinocembrin in the corinto cultivar, which was less affected by C. vitis, could also indicate some resistance to mites' attack, which should be investigated in future studies.
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Affiliation(s)
- Lubia M Guedes
- Facultad de Ciencias Forestales, Departamento de Silvicultura, Laboratorio de Semioquímica Aplicada, Universidad de Concepción, Casilla 160-C, Concepción, CP 4030000, Chile
| | - Ignacio A A Henríquez
- Facultad de Ciencias Forestales, Departamento de Silvicultura, Laboratorio de Semioquímica Aplicada, Universidad de Concepción, Casilla 160-C, Concepción, CP 4030000, Chile
| | - Carolina Sanhueza
- Facultad de Ciencias Naturales y Oceanográficas, Departamento de Botánica, Laboratorio de Fisiología Vegetal, Universidad de Concepción, Casilla 160- C, Concepción, CP 4030000, Chile
| | - Lorena Rodríguez-Cerda
- Facultad de Ciencias Forestales, Departamento de Silvicultura, Laboratorio de Semioquímica Aplicada, Universidad de Concepción, Casilla 160-C, Concepción, CP 4030000, Chile
| | - Camilo Figueroa
- Facultad de Ciencias Forestales, Departamento de Silvicultura, Laboratorio de Semioquímica Aplicada, Universidad de Concepción, Casilla 160-C, Concepción, CP 4030000, Chile
| | - Elvis Gavilán
- Facultad de Ciencias Forestales, Departamento de Silvicultura, Laboratorio de Semioquímica Aplicada, Universidad de Concepción, Casilla 160-C, Concepción, CP 4030000, Chile
| | - Narciso Aguilera
- Facultad de Ciencias Forestales, Departamento de Silvicultura, Laboratorio de Semioquímica Aplicada, Universidad de Concepción, Casilla 160-C, Concepción, CP 4030000, Chile.
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Magon G, De Rosa V, Martina M, Falchi R, Acquadro A, Barcaccia G, Portis E, Vannozzi A, De Paoli E. Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics. FRONTIERS IN PLANT SCIENCE 2023; 14:1293186. [PMID: 38148866 PMCID: PMC10750425 DOI: 10.3389/fpls.2023.1293186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 11/27/2023] [Indexed: 12/28/2023]
Abstract
The multifaceted nature of climate change is increasing the urgency to select resilient grapevine varieties, or generate new, fitter cultivars, to withstand a multitude of new challenging conditions. The attainment of this goal is hindered by the limiting pace of traditional breeding approaches, which require decades to result in new selections. On the other hand, marker-assisted breeding has proved useful when it comes to traits governed by one or few genes with great effects on the phenotype, but its efficacy is still restricted for complex traits controlled by many loci. On these premises, innovative strategies are emerging which could help guide selection, taking advantage of the genetic diversity within the Vitis genus in its entirety. Multiple germplasm collections are also available as a source of genetic material for the introgression of alleles of interest via adapted and pioneering transformation protocols, which present themselves as promising tools for future applications on a notably recalcitrant species such as grapevine. Genome editing intersects both these strategies, not only by being an alternative to obtain focused changes in a relatively rapid way, but also by supporting a fine-tuning of new genotypes developed with other methods. A review on the state of the art concerning the available genetic resources and the possibilities of use of innovative techniques in aid of selection is presented here to support the production of climate-smart grapevine genotypes.
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Affiliation(s)
- Gabriele Magon
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), Laboratory of Plant Genetics and Breeding, University of Padova, Agripolis, Viale dell’Università 16, Legnaro, Italy
| | - Valeria De Rosa
- Department of Agricultural, Food, Environmental and Animal Sciences (DI4A), University of Udine, Via delle Scienze, 206, Udine, Italy
| | - Matteo Martina
- Department of Agricultural, Forest and Food Sciences (DISAFA), Plant Genetics, University of Torino, Largo P. Braccini 2, Grugliasco, Italy
| | - Rachele Falchi
- Department of Agricultural, Food, Environmental and Animal Sciences (DI4A), University of Udine, Via delle Scienze, 206, Udine, Italy
| | - Alberto Acquadro
- Department of Agricultural, Forest and Food Sciences (DISAFA), Plant Genetics, University of Torino, Largo P. Braccini 2, Grugliasco, Italy
| | - Gianni Barcaccia
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), Laboratory of Plant Genetics and Breeding, University of Padova, Agripolis, Viale dell’Università 16, Legnaro, Italy
| | - Ezio Portis
- Department of Agricultural, Forest and Food Sciences (DISAFA), Plant Genetics, University of Torino, Largo P. Braccini 2, Grugliasco, Italy
| | - Alessandro Vannozzi
- Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), Laboratory of Plant Genetics and Breeding, University of Padova, Agripolis, Viale dell’Università 16, Legnaro, Italy
| | - Emanuele De Paoli
- Department of Agricultural, Food, Environmental and Animal Sciences (DI4A), University of Udine, Via delle Scienze, 206, Udine, Italy
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Di Pietro Fernandes C, Santana LF, dos Santos JR, Fernandes DS, Hiane PA, Pott A, Freitas KDC, Bogo D, do Nascimento VA, Filiú WFDO, Asato MA, Guimarães RDCA. Nutraceutical Potential of Grape ( Vitis vinifera L.) Seed Oil in Oxidative Stress, Inflammation, Obesity and Metabolic Alterations. Molecules 2023; 28:7811. [PMID: 38067541 PMCID: PMC10708499 DOI: 10.3390/molecules28237811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/17/2023] [Accepted: 08/29/2023] [Indexed: 12/18/2023] Open
Abstract
Vitis vinifera L. (grapevine) is a perennial plant of the Vitaceae family that is widely used to produce grapes and wines. Grape seed oil is rich in fatty acids such as linoleic acid (65-75%), vitamin E (50 mg), and phytosterols in addition to phenolic compounds, such as catechins (414 mg), epicatechins (130.4 mg), and gallic acid (77 µg), shows promise as a nutritional compound and is outstanding as a therapeutic substance with active properties for health, detected mainly by in vitro studies, as well as some in vivo studies. The benefits of consuming this oil include modulating the expression of antioxidant enzymes, anti-atherosclerotic and anti-inflammatory effects, and protection against oxidative cell damage and some types of cancer. However, experimental findings confirm that therapeutic functions remain scarce; thus, more studies are needed to determine the mechanisms of action involved in the indicated therapeutic qualities.
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Affiliation(s)
- Carolina Di Pietro Fernandes
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil; (C.D.P.F.); (D.S.F.); (P.A.H.); (K.d.C.F.); (D.B.); (V.A.d.N.); (R.d.C.A.G.)
| | | | | | - Dayane Stéphanie Fernandes
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil; (C.D.P.F.); (D.S.F.); (P.A.H.); (K.d.C.F.); (D.B.); (V.A.d.N.); (R.d.C.A.G.)
| | - Priscila Aiko Hiane
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil; (C.D.P.F.); (D.S.F.); (P.A.H.); (K.d.C.F.); (D.B.); (V.A.d.N.); (R.d.C.A.G.)
| | - Arnildo Pott
- Laboratory of Botany, Institute of Biosciences, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil;
| | - Karine de Cássia Freitas
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil; (C.D.P.F.); (D.S.F.); (P.A.H.); (K.d.C.F.); (D.B.); (V.A.d.N.); (R.d.C.A.G.)
| | - Danielle Bogo
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil; (C.D.P.F.); (D.S.F.); (P.A.H.); (K.d.C.F.); (D.B.); (V.A.d.N.); (R.d.C.A.G.)
| | - Valter Aragão do Nascimento
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil; (C.D.P.F.); (D.S.F.); (P.A.H.); (K.d.C.F.); (D.B.); (V.A.d.N.); (R.d.C.A.G.)
| | | | - Marcel Arakaki Asato
- Medical School, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil;
| | - Rita de Cássia Avellaneda Guimarães
- Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande 79070-900, Brazil; (C.D.P.F.); (D.S.F.); (P.A.H.); (K.d.C.F.); (D.B.); (V.A.d.N.); (R.d.C.A.G.)
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7
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Zou Y, Wei Z, Xiao K, Wu Z, Xu X. Genomic analysis of the emergent aquatic plant Sparganium stoloniferum provides insights into its clonality, local adaptation and demographic history. Mol Ecol Resour 2023; 23:1868-1879. [PMID: 37489278 DOI: 10.1111/1755-0998.13850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 07/10/2023] [Accepted: 07/18/2023] [Indexed: 07/26/2023]
Abstract
Clonal propagation and extensive dispersal of seeds and asexual propagules are two important features of aquatic plants that help them adapt to aquatic environments. Accurate measurements of clonality and effective clonal dispersal are essential for understanding the evolution of aquatic plants. Here, we first assembled a high-quality chromosome-level genome of a widespread emergent aquatic plant Sparganium stoloniferum to provide a reference for its population genomic study. We then performed high-depth resequencing of 173 individuals from 20 populations covering different basins across its range in China. Population genomic analyses revealed three genetic lineages reflecting the northeast (NE), southwest (SW) and northwest (NW) of its geographical distribution. The NE lineage diverged in the middle Pleistocene while the SW and NW lineages diverged until about 2400 years ago. Clonal relationship analyses identified nine populations as monoclonal population. Dispersal of vegetative propagules was identified between five populations covering three basins in the NE lineage, and dispersal distance was up to 1041 km, indicating high dispersibility in emergent aquatic plant species. We also identified lineage-specific positively selected genes that are likely to be involved in adaptations to saline wetlands and high-altitude environments. Our findings accurately measure the clonality, determine the dispersal range and frequency of vegetative propagules, and detect genetic signatures of local adaptation in a widespread emergent aquatic plant species, providing new perspectives on the evolution of aquatic plants.
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Affiliation(s)
- Yang Zou
- National Field Station of Freshwater Ecosystem of Liangzi Lake, College of Life Sciences, Wuhan University, Wuhan, China
| | - Zijie Wei
- National Field Station of Freshwater Ecosystem of Liangzi Lake, College of Life Sciences, Wuhan University, Wuhan, China
| | - Keyan Xiao
- Hubei Xiuhu Botanical Garden, Xiaogan, China
| | - Zhigang Wu
- The State Key Laboratory of Freshwater Ecology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
| | - Xinwei Xu
- National Field Station of Freshwater Ecosystem of Liangzi Lake, College of Life Sciences, Wuhan University, Wuhan, China
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Dagne H, S VP, Palanivel H, Yeshitila A, Benor S, Abera S, Abdi A. Advanced modeling and optimizing for surface sterilization process of grape vine ( Vitis vinifera) root stock 3309C through response surface, artificial neural network, and genetic algorithm techniques. Heliyon 2023; 9:e18628. [PMID: 37554794 PMCID: PMC10404695 DOI: 10.1016/j.heliyon.2023.e18628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 07/16/2023] [Accepted: 07/24/2023] [Indexed: 08/10/2023] Open
Abstract
In vitro, sterilization is one of the key components for proceeding with plant tissue cultures. Since the effectiveness of sterilization has a direct impact on the culture's final outcomes, there is a crucial need for optimization of the sterilization process. However, compared with traditional optimizing methods, the use of computational approaches through artificial intelligence-based process modeling and optimization algorithms provides a precise optimal condition for in vitro culturing. This study aimed to optimise in vitro sterilization of grape rootstock 3309C using RSM, ANN, and genetic algorithm (GA) techniques. In this context, two output responses, namely, Clean Culture and Explant Viability, were optimised using the models developed by RSM and ANN, followed by a GA, to obtain a globally optimal solution. The most influential independent factors, such as HgCl2, NaOCl, AgNO3, and immersion time, were considered input variables. The significance of the developed models was investigated with statistical and non-statistical techniques and was optimised to determine the significance of selected inputs. The optimal clean culture of 91%, and the explant viability of 89% can be obtained from 1.62% NaOCl at a 13.96 min immersion time, according to MLP-NSGAII. Sensitivity analysis revealed that the clean culture and explant viability were less sensitive to AgNO3 and more sensitive to immersion time. Results showed that the differences between the GA predicted and validation data were significant after the performance validation of predicted and optimised sterilising agents with immersion time combinations were tested. In general, GA, a potent methodology, may open the door to the development of new computational methods in plant tissue culture.
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Affiliation(s)
- Habtamu Dagne
- Department of Biotechnology, Centre of Excellence for Biotechnology and Bioprocess, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, PO Box 16417, Addis Ababa, Ethiopia
| | - Venkatesa Prabhu S
- Department of Chemical Engineering, Centre of Excellence for Biotechnology and Bioprocess, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, PO Box 16417, Addis Ababa, Ethiopia
| | - Hemalatha Palanivel
- Department of Biotechnology, Centre of Excellence for Biotechnology and Bioprocess, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, PO Box 16417, Addis Ababa, Ethiopia
| | - Alazar Yeshitila
- Department of Biotechnology, Centre of Excellence for Biotechnology and Bioprocess, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, PO Box 16417, Addis Ababa, Ethiopia
| | - Solomon Benor
- Department of Plant Biology and Biodiversity Management, College of Natural and Computational Sciences, Addis Ababa University, Ethiopia
| | - Solomon Abera
- Department of Biotechnology, Centre of Excellence for Biotechnology and Bioprocess, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, PO Box 16417, Addis Ababa, Ethiopia
| | - Adugna Abdi
- Department of Biotechnology, Centre of Excellence for Biotechnology and Bioprocess, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, PO Box 16417, Addis Ababa, Ethiopia
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9
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Wang P, Zhao F, Zheng T, Liu Z, Ji X, Zhang Z, Pervaiz T, Shangguan L, Fang J. Whole-genome re-sequencing, diversity analysis, and stress-resistance analysis of 77 grape rootstock genotypes. FRONTIERS IN PLANT SCIENCE 2023; 14:1102695. [PMID: 36844076 PMCID: PMC9947647 DOI: 10.3389/fpls.2023.1102695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Grape rootstocks play critical role in the development of the grape industry over the globe for their higher adaptability to various environments, and the evaluation of their genetic diversity among grape genotypes is necessary to the conservation and utility of genotypes. METHODS To analyze the genetic diversity of grape rootstocks for a better understanding multiple resistance traits, whole-genome re-sequencing of 77 common grape rootstock germplasms was conducted in the present study. RESULTS About 645 billion genome sequencing data were generated from the 77 grape rootstocks at an average depth of ~15.5×, based on which the phylogenic clusters were generated and the domestication of grapevine rootstocks was explored. The results indicated that the 77 rootstocks originated from five ancestral components. Through phylogenetic, principal components, and identity-by-descent (IBD) analyses, these 77 grape rootstocks were assembled into ten groups. It is noticed that the wild resources of V. amurensis and V. davidii, originating from China and being generally considered to have stronger resistance against biotic and abiotic stresses, were sub-divided from the other populations. Further analysis indicated that a high level of linkage disequilibrium was found among the 77 rootstock genotypes, and a total of 2,805,889 single nucleotide polymorphisms (SNPs) were excavated, GWAS analysis among the grape rootstocks located 631, 13, 9, 2, 810, and 44 SNP loci that were responsible to resistances to phylloxera, root-knot nematodes, salt, drought, cold and waterlogging traits. DISCUSSION This study generated a significant amount of genomic data from grape rootstocks, thus providing a theoretical basis for further research on the resistance mechanism of grape rootstocks and the breeding of resistant varieties. These findings also reveal that China originated V. amurensis and V. davidii could broaden the genetic background of grapevine rootstocks and be important germplasm used in breeding high stress-resistant grapevine rootstocks.
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Affiliation(s)
- Peipei Wang
- College of Horticulture, Qingdao Agricultural University, Qingdao, China
| | - Fanggui Zhao
- College of Horticulture, Qingdao Agricultural University, Qingdao, China
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Ting Zheng
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Zhongjie Liu
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Xinglong Ji
- College of Horticulture, Qingdao Agricultural University, Qingdao, China
| | - Zhichang Zhang
- Shandong Zhichang Agricultural Science and Technology Development Co. LTD, Rizhao, China
| | - Tariq Pervaiz
- Department of Botany and Plant Sciences, University of California Riverside, Riverside, CA, United States
| | - Lingfei Shangguan
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Jinggui Fang
- College of Horticulture, Qingdao Agricultural University, Qingdao, China
- College of Horticulture, Nanjing Agricultural University, Nanjing, China
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10
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Tello J, Ibáñez J. Review: Status and prospects of association mapping in grapevine. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2023; 327:111539. [PMID: 36410567 DOI: 10.1016/j.plantsci.2022.111539] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
Thanks to current advances in sequencing technologies, novel bioinformatics tools, and efficient modeling solutions, association mapping has become a widely accepted approach to unravel the link between genotype and phenotype diversity in numerous crops. In grapevine, this strategy has been used in the last decades to understand the genetic basis of traits of agronomic interest (fruit quality, crop yield, biotic and abiotic resistance), of special relevance nowadays to improve crop resilience to cope with future climate scenarios. Genome-wide association studies have identified many putative causative loci for different traits, some of them overlapping well-known causal genes identified by conventional quantitative trait loci studies in biparental progenies, and/or validated by functional approaches. In addition, candidate-gene association studies have been useful to pinpoint the causal mutation underlying phenotypic variation for several traits of high interest in breeding programs (like berry color, seedlessness, and muscat flavor), information that has been used to develop highly informative and useful markers already in use in marker-assisted selection processes. Thus, association mapping has proved to represent a valuable step towards high quality and sustainable grape production. This review summarizes current applications of association mapping in grapevine research and discusses future prospects in view of current viticulture challenges.
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Affiliation(s)
- Javier Tello
- Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño 26007, Spain.
| | - Javier Ibáñez
- Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño 26007, Spain
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11
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Flutre T, Le Cunff L, Fodor A, Launay A, Romieu C, Berger G, Bertrand Y, Terrier N, Beccavin I, Bouckenooghe V, Roques M, Pinasseau L, Verbaere A, Sommerer N, Cheynier V, Bacilieri R, Boursiquot JM, Lacombe T, Laucou V, This P, Péros JP, Doligez A. A genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes under many new QTLs. G3 (BETHESDA, MD.) 2022; 12:6575896. [PMID: 35485948 PMCID: PMC9258538 DOI: 10.1093/g3journal/jkac103] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/21/2022] [Indexed: 12/11/2022]
Abstract
To cope with the challenges facing agriculture, speeding-up breeding programs is a worthy endeavor, especially for perennial species such as grapevine, but requires understanding the genetic architecture of target traits. To go beyond the mapping of quantitative trait loci in bi-parental crosses, we exploited a diversity panel of 279 Vitis vinifera L. cultivars planted in 5 blocks in the vineyard. This panel was phenotyped over several years for 127 traits including yield components, organic acids, aroma precursors, polyphenols, and a water stress indicator. The panel was genotyped for 63k single nucleotide polymorphisms by combining an 18K microarray and genotyping-by-sequencing. The experimental design allowed to reliably assess the genotypic values for most traits. Marker densification via genotyping-by-sequencing markedly increased the proportion of genetic variance explained by single nucleotide polymorphisms, and 2 multi-single nucleotide polymorphism models identified quantitative trait loci not found by a single nucleotide polymorphism-by-single nucleotide polymorphism model. Overall, 489 reliable quantitative trait loci were detected for 41% more response variables than by a single nucleotide polymorphism-by-single nucleotide polymorphism model with microarray-only single nucleotide polymorphisms, many new ones compared with the results from bi-parental crosses. A prediction accuracy higher than 0.42 was obtained for 50% of the response variables. Our overall approach as well as quantitative trait locus and prediction results provide insights into the genetic architecture of target traits. New candidate genes and the application into breeding are discussed.
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Affiliation(s)
- Timothée Flutre
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France.,Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE-Le Moulon, 91190 Gif-sur-Yvette, France
| | - Loïc Le Cunff
- UMT Géno-Vigne, 34398 Montpellier, France.,IFV, 30240 Le Grau-du-Roi, France
| | - Agota Fodor
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Amandine Launay
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Charles Romieu
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Gilles Berger
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Yves Bertrand
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Nancy Terrier
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France
| | | | | | - Maryline Roques
- UMT Géno-Vigne, 34398 Montpellier, France.,IFV, 30240 Le Grau-du-Roi, France
| | - Lucie Pinasseau
- SPO, Univ Montpellier, INRAE, Institut Agro, 34060 Montpellier, France
| | - Arnaud Verbaere
- SPO, Univ Montpellier, INRAE, Institut Agro, 34060 Montpellier, France
| | - Nicolas Sommerer
- SPO, Univ Montpellier, INRAE, Institut Agro, 34060 Montpellier, France
| | | | - Roberto Bacilieri
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Jean-Michel Boursiquot
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Thierry Lacombe
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Valérie Laucou
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Patrice This
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Jean-Pierre Péros
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
| | - Agnès Doligez
- AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, 34398 Montpellier, France.,UMT Géno-Vigne, 34398 Montpellier, France
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12
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Chupradit S, Huy DTN, Hachem K, Shichiyakh RA, Bokov D, Mahmudiono T, Al-Rekaby HQ, Kadhim MM, Thangavelu L. Agrobiological evaluations of newly introduced grapes varieties under climatic conditions of the south of Kazakhstan. BRAZ J BIOL 2022; 84:e258275. [PMID: 35262566 DOI: 10.1590/1519-6984.258275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 12/03/2021] [Indexed: 11/21/2022] Open
Abstract
Variety assortment enhancement is a normal task that involves enhancing the assortment's quality and upgrading varieties. The findings of a research of imported grape varieties in the southeast of Kazakhstan, namely in the Almaty region's bottom-mountain zone, are presented in this article. The onset and conclusion of the main phenological phases of a grape plant throughout the vegetative period were directly influenced by the climatic and meteorological conditions of this district. In comparison to the recognized variety Almaty early-maturing, it has been proven that types Priusadebny, Iyulsky, and Kuibyshevsk early-maturing have a high degree of eyes wintering buds and may provide a high-quality crop in this location.
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Affiliation(s)
- S Chupradit
- Chiang Mai University, Faculty of Associated Medical Sciences, Department of Occupational Therapy, Chiang Mai, Thailand
| | - D T N Huy
- Banking University of Ho Chi Minh City, Ho Chi Minh City, Vietnam.,International University of Japan, Niigata, Japan
| | - K Hachem
- University of Saida - Dr. Moulay Tahar, Faculty of Sciences, Department of Biology, Saida, Algeria
| | | | - D Bokov
- Sechenov First Moscow State Medical University, Institute of Pharmacy, Moscow, Russian Federation
| | - T Mahmudiono
- Universitas Airlangga, Faculty of Public Health Department of Nutrition, Surabaya, Indonesia
| | - H Q Al-Rekaby
- Al-Ayen University, College of Health and Medical Technololgy, Department of Optics, Thi-Qar, Iraq
| | - M M Kadhim
- The Islamic University, College of Technical Engineering, Najaf, Iraq
| | - L Thangavelu
- Saveetha University, Saveetha Institute of Medical and Technical Sciences, Saveetha Dental College and Hospital, Department of Pharmacology, Chennai, India
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13
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Brault C, Segura V, This P, Le Cunff L, Flutre T, François P, Pons T, Péros JP, Doligez A. Across-population genomic prediction in grapevine opens up promising prospects for breeding. HORTICULTURE RESEARCH 2022; 9:uhac041. [PMID: 35184162 PMCID: PMC9070645 DOI: 10.1093/hr/uhac041] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 02/01/2022] [Indexed: 05/15/2023]
Abstract
Crop breeding involves two selection steps: choosing progenitors and selecting individuals within progenies. Genomic prediction, based on genome-wide marker estimation of genetic values, could facilitate these steps. However, its potential usefulness in grapevine (Vitis vinifera L.) has only been evaluated in non-breeding contexts mainly through cross-validation within a single population. We tested across-population genomic prediction in a more realistic breeding configuration, from a diversity panel to ten bi-parental crosses connected within a half-diallel mating design. Prediction quality was evaluated over 15 traits of interest (related to yield, berry composition, phenology and vigour), for both the average genetic value of each cross (cross mean) and the genetic values of individuals within each cross (individual values). Genomic prediction in these conditions was found useful: for cross mean, average per-trait predictive ability was 0.6, while per-cross predictive ability was halved on average, but reached a maximum of 0.7. Mean predictive ability for individual values within crosses was 0.26, about half the within-half-diallel value taken as a reference. For some traits and/or crosses, these across-population predictive ability values are promising for implementing genomic selection in grapevine breeding. This study also provided key insights on variables affecting predictive ability. Per-cross predictive ability was well predicted by genetic distance between parents and when this predictive ability was below 0.6, it was improved by training set optimization. For individual values, predictive ability mostly depended on trait-related variables (magnitude of the cross effect and heritability). These results will greatly help designing grapevine breeding programs assisted by genomic prediction.
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Affiliation(s)
- Charlotte Brault
- UMT Geno-Vigne®, IFV-INRAE-Institut Agro, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
- Institut Français de la Vigne et du Vin, F-34398 Montpellier, France
| | - Vincent Segura
- UMT Geno-Vigne®, IFV-INRAE-Institut Agro, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
| | - Patrice This
- UMT Geno-Vigne®, IFV-INRAE-Institut Agro, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
| | - Loïc Le Cunff
- UMT Geno-Vigne®, IFV-INRAE-Institut Agro, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
- Institut Français de la Vigne et du Vin, F-34398 Montpellier, France
| | - Timothée Flutre
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE – Le Moulon, 91190, Gif-sur-Yvette, France
| | - Pierre François
- UMT Geno-Vigne®, IFV-INRAE-Institut Agro, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
| | - Thierry Pons
- UMT Geno-Vigne®, IFV-INRAE-Institut Agro, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
| | - Jean-Pierre Péros
- UMT Geno-Vigne®, IFV-INRAE-Institut Agro, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
| | - Agnès Doligez
- UMT Geno-Vigne®, IFV-INRAE-Institut Agro, F-34398 Montpellier, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
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14
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The genomes of 204 Vitis vinifera accessions reveal the origin of European wine grapes. Nat Commun 2021; 12:7240. [PMID: 34934047 PMCID: PMC8692429 DOI: 10.1038/s41467-021-27487-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 11/18/2021] [Indexed: 01/29/2023] Open
Abstract
In order to elucidate the still controversial processes that originated European wine grapes from its wild progenitor, here we analyse 204 genomes of Vitis vinifera and show that all analyses support a single domestication event that occurred in Western Asia and was followed by numerous and pervasive introgressions from European wild populations. This admixture generated the so-called international wine grapes that have diffused from Alpine countries worldwide. Across Europe, marked differences in genomic diversity are observed in local varieties that are traditionally cultivated in different wine producing countries, with Italy and France showing the largest diversity. Three genomic regions of reduced genetic diversity are observed, presumably as a consequence of artificial selection. In the lowest diversity region, two candidate genes that gained berry–specific expression in domesticated varieties may contribute to the change in berry size and morphology that makes the fruit attractive for human consumption and adapted for winemaking. Reports on the origin of European wine grapes are controversial. Here, the authors perform population genetics analyses on a large set of representative wine-making varieties and reveal a single domestication event at the origin of the entire germplasm followed by repeated introgression from wild populations.
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15
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Freitas S, Gazda MA, Rebelo MÂ, Muñoz-Pajares AJ, Vila-Viçosa C, Muñoz-Mérida A, Gonçalves LM, Azevedo-Silva D, Afonso S, Castro I, Castro PH, Sottomayor M, Beja-Pereira A, Tereso J, Ferrand N, Gonçalves E, Martins A, Carneiro M, Azevedo H. Pervasive hybridization with local wild relatives in Western European grapevine varieties. SCIENCE ADVANCES 2021; 7:eabi8584. [PMID: 34797710 PMCID: PMC8604406 DOI: 10.1126/sciadv.abi8584] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Grapevine (Vitis vinifera L.) diversity richness results from a complex domestication history over multiple historical periods. Here, we used whole-genome resequencing to elucidate different aspects of its recent evolutionary history. Our results support a model in which a central domestication event in grapevine was followed by postdomestication hybridization with local wild genotypes, leading to the presence of an introgression signature in modern wine varieties across Western Europe. The strongest signal was associated with a subset of Iberian grapevine varieties showing large introgression tracts. We targeted this study group for further analysis, demonstrating how regions under selection in wild populations from the Iberian Peninsula were preferentially passed on to the cultivated varieties by gene flow. Examination of underlying genes suggests that environmental adaptation played a fundamental role in both the evolution of wild genotypes and the outcome of hybridization with cultivated varieties, supporting a case of adaptive introgression in grapevine.
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Affiliation(s)
- Sara Freitas
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Małgorzata A. Gazda
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
| | - Miguel Â. Rebelo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
| | - Antonio J. Muñoz-Pajares
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
- Departamento de Genética, Facultad de Ciencias, Universidad de Granada, Campus Fuentenueva, 18071 Granada, Spain
| | - Carlos Vila-Viçosa
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
- MHNC-UP, Museum of Natural History and Science of the University of Porto–PO Herbarium, University of Porto, Praça Gomes Teixeira, 4099-002 Porto, Portugal
| | - Antonio Muñoz-Mérida
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
| | - Luís M. Gonçalves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
| | - David Azevedo-Silva
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Sandra Afonso
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Isaura Castro
- CITAB, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal
| | - Pedro H. Castro
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Mariana Sottomayor
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Albano Beja-Pereira
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
- DGAOT, Faculty of Sciences, Universidade do Porto, Rua Campo Alegre 687, 4169-007 Porto, Portugal
- Sustainable Agrifood Production Research Centre (GreenUPorto), Universidade do Porto, Rua da Agrária 747, 4485-646 Vairão, Portugal
| | - João Tereso
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
- MHNC-UP, Museum of Natural History and Science of the University of Porto–PO Herbarium, University of Porto, Praça Gomes Teixeira, 4099-002 Porto, Portugal
- Centre for Archaeology, UNIARQ, School of Arts and Humanities, University of Lisbon, 1600-214 Lisbon, Portugal
| | - Nuno Ferrand
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
- Department of Zoology, Centre for Ecological Genomics and Wildlife Conservation, University of Johannesburg, 2006 Johannesburg, South Africa
| | - Elsa Gonçalves
- LEAF, Linking Landscape, Environment, Agriculture, and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
- Portuguese Association for Grapevine Diversity-PORVID, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Antero Martins
- LEAF, Linking Landscape, Environment, Agriculture, and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
- Portuguese Association for Grapevine Diversity-PORVID, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Miguel Carneiro
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Herlander Azevedo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
- Corresponding author.
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16
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Brault C, Doligez A, Cunff L, Coupel-Ledru A, Simonneau T, Chiquet J, This P, Flutre T. Harnessing multivariate, penalized regression methods for genomic prediction and QTL detection of drought-related traits in grapevine. G3-GENES GENOMES GENETICS 2021; 11:6325507. [PMID: 34544146 PMCID: PMC8496232 DOI: 10.1093/g3journal/jkab248] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 07/02/2021] [Indexed: 11/13/2022]
Abstract
Viticulture has to cope with climate change and to decrease pesticide inputs, while maintaining yield and wine quality. Breeding is a key lever to meet this challenge, and genomic prediction a promising tool to accelerate breeding programs. Multivariate methods are potentially more accurate than univariate ones. Moreover, some prediction methods also provide marker selection, thus allowing quantitative trait loci (QTLs) detection and the identification of positional candidate genes. To study both genomic prediction and QTL detection for drought-related traits in grapevine, we applied several methods, interval mapping (IM) as well as univariate and multivariate penalized regression, in a bi-parental progeny. With a dense genetic map, we simulated two traits under four QTL configurations. The penalized regression method Elastic Net (EN) for genomic prediction, and controlling the marginal False Discovery Rate on EN selected markers to prioritize the QTLs. Indeed, penalized methods were more powerful than IM for QTL detection across various genetic architectures. Multivariate prediction did not perform better than its univariate counterpart, despite strong genetic correlation between traits. Using 14 traits measured in semi-controlled conditions under different watering conditions, penalized regression methods proved very efficient for intra-population prediction whatever the genetic architecture of the trait, with predictive abilities reaching 0.68. Compared to a previous study on the same traits, these methods applied on a denser map found new QTLs controlling traits linked to drought tolerance and provided relevant candidate genes. Overall, these findings provide a strong evidence base for implementing genomic prediction in grapevine breeding.
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Affiliation(s)
- Charlotte Brault
- Institut Français de la Vigne et du Vin, Montpellier F-34398, France.,UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier F-34398, France.,UMT Geno-Vigne®, IFV-INRAE-Institut Agro, Montpellier F-34398, France
| | - Agnès Doligez
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier F-34398, France.,UMT Geno-Vigne®, IFV-INRAE-Institut Agro, Montpellier F-34398, France
| | - Le Cunff
- Institut Français de la Vigne et du Vin, Montpellier F-34398, France.,UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier F-34398, France.,UMT Geno-Vigne®, IFV-INRAE-Institut Agro, Montpellier F-34398, France
| | - Aude Coupel-Ledru
- LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier 34000, France
| | - Thierry Simonneau
- LEPSE, Univ Montpellier, INRAE, Institut Agro, Montpellier 34000, France
| | | | - Patrice This
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier F-34398, France.,UMT Geno-Vigne®, IFV-INRAE-Institut Agro, Montpellier F-34398, France
| | - Timothée Flutre
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE-Le Moulon, Gif-sur-Yvette 91190, France
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17
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Thapa R, Singh J, Gutierrez B, Arro J, Khan A. Genome-wide association mapping identifies novel loci underlying fire blight resistance in apple. THE PLANT GENOME 2021; 14:e20087. [PMID: 33650322 DOI: 10.1002/tpg2.20087] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/17/2020] [Indexed: 05/12/2023]
Abstract
Fire blight, caused by epiphytotic gram-negative bacteria Erwinia amylovora, is the most destructive bacterial disease of apple (Malus spp.). Genetic mechanisms of fire blight resistance have mainly been studied using traditional biparental quantitative trait loci (QTL) mapping approaches. Here, we use large-scale historic shoot and blossom fire blight data collected over multiple years and genotyping-by-sequencing (GBS) markers to identify significant marker-trait associations in a diverse set of 566 apple [Malus domestica (Suckow) Borkh.] accessions. There was large variation in fire blight resistance and susceptibility in these accessions. We identified 23 and 38 QTL significantly (p < .001) associated with shoot and blossom blight resistance, respectively. The QTL are distributed across all 17 chromosomes of apple. Four shoot blight and 19 blossom blight QTL identified in this study colocalized with previously identified QTL associated with resistance to fire blight or apple scab. Using transcriptomics data of two apple cultivars with contrasting fire blight responses, we also identified candidate genes for fire blight resistance that are differentially expressed between resistant and susceptible cultivars and located within QTL intervals for fire blight resistance. However, further experiments are needed to confirm and validate these marker-trait associations and develop diagnostic markers before use in marker-assisted breeding to develop apple cultivars with decreased fire blight susceptibility.
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Affiliation(s)
- Ranjita Thapa
- Plant Pathology and Plant-Microbe Biology Section, Cornell University, Geneva, NY, 14456, USA
| | - Jugpreet Singh
- Plant Pathology and Plant-Microbe Biology Section, Cornell University, Geneva, NY, 14456, USA
| | - Benjamin Gutierrez
- USDA-ARS Plant Genetic Resources Unit, New York State Agricultural Experiment Station, 630 West North Street, Geneva, NY, 14456, USA
| | - Jie Arro
- USDA-ARS Plant Genetic Resources Unit, New York State Agricultural Experiment Station, 630 West North Street, Geneva, NY, 14456, USA
| | - Awais Khan
- Plant Pathology and Plant-Microbe Biology Section, Cornell University, Geneva, NY, 14456, USA
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18
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LaPlante ER, Fleming MB, Migicovsky Z, Weber MG. Genome-Wide Association Study Reveals Genomic Region Associated with Mite-Recruitment Phenotypes in the Domesticated Grapevine ( Vitis vinifera). Genes (Basel) 2021; 12:1013. [PMID: 34208920 PMCID: PMC8307218 DOI: 10.3390/genes12071013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/25/2021] [Accepted: 06/28/2021] [Indexed: 01/25/2023] Open
Abstract
Indirect defenses are plant phenotypes that reduce damage by attracting natural enemies of plant pests and pathogens to leaves. Despite their economic and ecological importance, few studies have investigated the genetic underpinnings of indirect defense phenotypes. Here, we present a genome-wide association study of five phenotypes previously determined to increase populations of beneficial (fungivorous and predacious) mites on grape leaves (genus Vitis): leaf bristles, leaf hairs, and the size, density, and depth of leaf domatia. Using a common garden genetic panel of 399 V. vinifera cultivars, we tested for genetic associations of these phenotypes using previously obtained genotyping data from the Vitis9kSNP array. We found one single nucleotide polymorphism (SNP) significantly associated with domatia density. This SNP (Chr5:1160194) is near two genes of interest: Importin Alpha Isoform 1 (VIT_205s0077g01440), involved in downy mildew resistance, and GATA Transcription Factor 8 (VIT_205s0077g01450), involved in leaf shape development. Our findings are among the first to examine the genomic regions associated with ecologically important plant traits that facilitate interactions with beneficial mites, and suggest promising candidate genes for breeding and genetic editing to increase naturally occurring predator-based defenses in grapevines.
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Affiliation(s)
- Erika R. LaPlante
- Department of Plant Biology, Program in Ecology, Evolution, and Behavior, Michigan State University, East Lansing, MI 48824, USA; (E.R.L.); (M.B.F.)
| | - Margaret B. Fleming
- Department of Plant Biology, Program in Ecology, Evolution, and Behavior, Michigan State University, East Lansing, MI 48824, USA; (E.R.L.); (M.B.F.)
| | - Zoë Migicovsky
- Department of Plant, Food, and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS B2N 5E3, Canada;
| | - Marjorie Gail Weber
- Department of Plant Biology, Program in Ecology, Evolution, and Behavior, Michigan State University, East Lansing, MI 48824, USA; (E.R.L.); (M.B.F.)
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19
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Zinelabidine LH, Torres-Pérez R, Grimplet J, Baroja E, Ibáñez S, Carbonell-Bejerano P, Martínez-Zapater JM, Ibáñez J, Tello J. Genetic variation and association analyses identify genes linked to fruit set-related traits in grapevine. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2021; 306:110875. [PMID: 33775372 DOI: 10.1016/j.plantsci.2021.110875] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/02/2021] [Accepted: 03/06/2021] [Indexed: 06/12/2023]
Abstract
Grapevine is one of the most valuable fruit crops in the world. Adverse environmental conditions reduce fruit quality and crop yield, so understanding the genetic and molecular mechanisms determining crop yield components is essential to optimize grape production. The analysis of a diverse collection of grapevine cultivars allowed us to evaluate the relationship between fruit set-related components of yield, including the incidence of reproductive disorders such as coulure and millerandage. The collection displayed a great phenotypic variation that we surveyed in a genetics association study using 15,309 single nucleotide polymorphisms (SNPs) detected in the sequence of 289 candidate genes scattered across the 19 grapevine linkage groups. After correcting statistical models for population structure and linkage disequilibrium effects, 164 SNPs from 34 of these genes were found to associate with fruit set-related traits, supporting a complex polygenic determinism. Many of them were found in the sequence of different putative MADS-box transcription factors, a gene family related with plant reproductive development control. In addition, we observed an additive effect of some of the associated SNPs on the phenotype, suggesting that advantageous alleles from different loci could be pyramided to generate superior cultivars with optimized fruit production.
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Affiliation(s)
- Lalla Hasna Zinelabidine
- Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño, 26007, Spain; Laboratory of Biotechnology and Valorisation of Plant Genetic Resources, Faculty of Sciences and Techniques, University of Sultan Moulay Slimane, Beni Mellal, 23000, Morocco
| | - Rafael Torres-Pérez
- Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño, 26007, Spain; Servicio de Bioinformática para Genómica y Proteómica (BioinfoGP), Centro Nacional de Biotecnología (CNB-CSIC), Madrid, 28049, Spain
| | - Jérôme Grimplet
- Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño, 26007, Spain; Unidad de Hortofruticultura, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Zaragoza, 50059, Spain; Instituto Agroalimentario de Aragón-IA2 (CITA-Universidad de Zaragoza), Zaragoza, 50059, Spain
| | - Elisa Baroja
- Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño, 26007, Spain
| | - Sergio Ibáñez
- Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño, 26007, Spain
| | - Pablo Carbonell-Bejerano
- Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño, 26007, Spain; Department of Molecular Biology, Max Planck Institute for Developmental Biology, 72076, Tuebingen, Germany
| | | | - Javier Ibáñez
- Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño, 26007, Spain
| | - Javier Tello
- Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño, 26007, Spain.
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20
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Su K, Guo Y, Zhong W, Lin H, Liu Z, Li K, Li Y, Guo X. High-Density Genetic Linkage Map Construction and White Rot Resistance Quantitative Trait Loci Mapping for Genus Vitis Based on Restriction Site-Associated DNA Sequencing. PHYTOPATHOLOGY 2021; 111:659-670. [PMID: 33635092 DOI: 10.1094/phyto-12-19-0480-r] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Grape white rot (Coniothyrium diplodiella) is a major fungal disease affecting grape yield and quality. Quantitative trait locus (QTL) analysis is an important method for studying important horticultural traits of grapevine. This study was conducted to construct a high-density map and conduct QTL mapping for grapevine white rot resistance. A mapping population with 177 genotypes was developed from interspecific hybridization of a white rot-resistant cultivar (Vitis vinifera × V. labrusca 'Zhuosexiang') and white rot-susceptible cultivar (V. vinifera 'Victoria'). Single-nucleotide polymorphism (SNP) markers were developed by restriction site-associated DNA sequencing. The female, male, and integrated maps contained 2,501, 4,110, and 6,249 SNP markers with average genetic distances of adjacent markers of 1.25, 0.77, and 0.50 cM, respectively. QTL mapping was conducted based on white rot resistance identification of 177 individuals in July and August of 2017 and 2018. Notably, one stable QTL related to white rot resistance was detected and located on linkage group LG14. The phenotypic variance ranged from 12.93 to 13.43%. An SNP marker (chr14_3929380), which cosegregated with white rot resistance, was discovered and shows potential for use in marker-assisted selection to generate new grapevine cultivars with resistance to white rot.
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Affiliation(s)
- Kai Su
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, People's Republic of China
| | - Yinshan Guo
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, People's Republic of China
- National and Local Joint Engineering Research Center of Northern Horticultural Facilities Design and Application Technology, Shenyang 110866, People's Republic of China
| | - Weihao Zhong
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, People's Republic of China
| | - Hong Lin
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, People's Republic of China
| | - Zhendong Liu
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, People's Republic of China
| | - Kun Li
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, People's Republic of China
| | - Yuanyuan Li
- College of Horticulture Science and Engineering, Shandong Agricultural University, Shandong 271018, People's Republic of China
| | - Xiuwu Guo
- College of Horticulture, Shenyang Agricultural University, Shenyang 110866, People's Republic of China
- National and Local Joint Engineering Research Center of Northern Horticultural Facilities Design and Application Technology, Shenyang 110866, People's Republic of China
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21
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Gomès É, Maillot P, Duchêne É. Molecular Tools for Adapting Viticulture to Climate Change. FRONTIERS IN PLANT SCIENCE 2021; 12:633846. [PMID: 33643361 PMCID: PMC7902699 DOI: 10.3389/fpls.2021.633846] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 01/19/2021] [Indexed: 05/04/2023]
Abstract
Adaptation of viticulture to climate change includes exploration of new geographical areas, new training systems, new management practices, or new varieties, both for rootstocks and scions. Molecular tools can be defined as molecular approaches used to study DNAs, RNAs, and proteins in all living organisms. We present here the current knowledge about molecular tools and their potential usefulness in three aspects of grapevine adaptation to the ongoing climate change. (i) Molecular tools for understanding grapevine response to environmental stresses. A fine description of the regulation of gene expression is a powerful tool to understand the physiological mechanisms set up by the grapevine to respond to abiotic stress such as high temperatures or drought. The current knowledge on gene expression is continuously evolving with increasing evidence of the role of alternative splicing, small RNAs, long non-coding RNAs, DNA methylation, or chromatin activity. (ii) Genetics and genomics of grapevine stress tolerance. The description of the grapevine genome is more and more precise. The genetic variations among genotypes are now revealed with new technologies with the sequencing of very long DNA molecules. High throughput technologies for DNA sequencing also allow now the genetic characterization at the same time of hundreds of genotypes for thousands of points in the genome, which provides unprecedented datasets for genotype-phenotype associations studies. We review the current knowledge on the genetic determinism of traits for the adaptation to climate change. We focus on quantitative trait loci and molecular markers available for developmental stages, tolerance to water stress/water use efficiency, sugar content, acidity, and secondary metabolism of the berries. (iii) Controlling the genome and its expression to allow breeding of better-adapted genotypes. High-density DNA genotyping can be used to select genotypes with specific interesting alleles but genomic selection is also a powerful method able to take into account the genetic information along the whole genome to predict a phenotype. Modern technologies are also able to generate mutations that are possibly interesting for generating new phenotypes but the most promising one is the direct editing of the genome at a precise location.
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Affiliation(s)
- Éric Gomès
- EGFV, University of Bordeaux – Bordeaux Sciences-Agro – INRAE, Villenave d’Ornon, France
| | - Pascale Maillot
- SVQV, INRAE – University of Strasbourg, Colmar, France
- University of Haute Alsace, Mulhouse, France
| | - Éric Duchêne
- SVQV, INRAE – University of Strasbourg, Colmar, France
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22
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Richter R, Rossmann S, Gabriel D, Töpfer R, Theres K, Zyprian E. Differential expression of transcription factor- and further growth-related genes correlates with contrasting cluster architecture in Vitis vinifera 'Pinot Noir' and Vitis spp. genotypes. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:3249-3272. [PMID: 32812062 PMCID: PMC7567691 DOI: 10.1007/s00122-020-03667-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 08/03/2020] [Indexed: 05/18/2023]
Abstract
Grapevine (Vitis vinifera L.) is an economically important crop that needs to comply with high quality standards for fruit, juice and wine production. Intense plant protection is required to avoid fungal damage. Grapevine cultivars with loose cluster architecture enable reducing protective treatments due to their enhanced resilience against fungal infections, such as Botrytis cinerea-induced gray mold. A recent study identified transcription factor gene VvGRF4 as determinant of pedicel length, an important component of cluster architecture, in samples of two loose and two compact quasi-isogenic 'Pinot Noir' clones. Here, we extended the analysis to 12 differently clustered 'Pinot Noir' clones from five diverse clonal selection programs. Differential gene expression of these clones was studied in three different locations over three seasons. Two phenotypically opposite clones were grown at all three locations and served for standardization. Data were correlated with the phenotypic variation of cluster architecture sub-traits. A set of 14 genes with consistent expression differences between loosely and compactly clustered clones-independent from season and location-was newly identified. These genes have annotations related to cellular growth, cell division and auxin metabolism and include two more transcription factor genes, PRE6 and SEP1-like. The differential expression of VvGRF4 in relation to loose clusters was exclusively found in 'Pinot Noir' clones. Gene expression studies were further broadened to phenotypically contrasting F1 individuals of an interspecific cross and OIV reference varieties of loose cluster architecture. This investigation confirmed PRE6 and six growth-related genes to show differential expression related to cluster architecture over genetically divergent backgrounds.
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Affiliation(s)
- Robert Richter
- Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Julius Kühn Institute, 76833, Siebeldingen, Germany
| | - Susanne Rossmann
- Department of Plant Breeding and Genetics, Max Planck Institute for Plant Breeding, Carl-von-Linné-Weg 10, 50829, Cologne, Germany
| | - Doreen Gabriel
- Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, Julius Kühn Institute, Bundesallee 58, 38116, Brunswick, Germany
| | - Reinhard Töpfer
- Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Julius Kühn Institute, 76833, Siebeldingen, Germany
| | - Klaus Theres
- Department of Plant Breeding and Genetics, Max Planck Institute for Plant Breeding, Carl-von-Linné-Weg 10, 50829, Cologne, Germany
| | - Eva Zyprian
- Federal Research Centre for Cultivated Plants, Institute for Grapevine Breeding Geilweilerhof, Julius Kühn Institute, 76833, Siebeldingen, Germany.
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23
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Nikoghosyan M, Schmidt M, Margaryan K, Loeffler-Wirth H, Arakelyan A, Binder H. SOMmelier-Intuitive Visualization of the Topology of Grapevine Genome Landscapes Using Artificial Neural Networks. Genes (Basel) 2020; 11:genes11070817. [PMID: 32709105 PMCID: PMC7397337 DOI: 10.3390/genes11070817] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 06/26/2020] [Accepted: 07/15/2020] [Indexed: 01/02/2023] Open
Abstract
Background: Whole-genome studies of vine cultivars have brought novel knowledge about the diversity, geographical relatedness, historical origin and dissemination, phenotype associations and genetic markers. Method: We applied SOM (self-organizing maps) portrayal, a neural network-based machine learning method, to re-analyze the genome-wide Single Nucleotide Polymorphism (SNP) data of nearly eight hundred grapevine cultivars. The method generates genome-specific data landscapes. Their topology reflects the geographical distribution of cultivars, indicates paths of cultivar dissemination in history and genome-phenotype associations about grape utilization. Results: The landscape of vine genomes resembles the geographic map of the Mediterranean world, reflecting two major dissemination paths from South Caucasus along a northern route via Balkan towards Western Europe and along a southern route via Palestine and Maghreb towards Iberian Peninsula. The Mediterranean and Black Sea, as well as the Pyrenees, constitute barriers for genetic exchange. On the coarsest level of stratification, cultivars divide into three major groups: Western Europe and Italian grapes, Iberian grapes and vine cultivars from Near East and Maghreb regions. Genetic landmarks were associated with agronomic traits, referring to their utilization as table and wine grapes. Pseudotime analysis describes the dissemination of grapevines in an East to West direction in different waves of cultivation. Conclusion: In analogy to the tasks of the wine waiter in gastronomy, the sommelier, our ‘SOMmelier’-approach supports understanding the diversity of grapevine genomes in the context of their geographic and historical background, using SOM portrayal. It offers an option to supplement vine cultivar passports by genome fingerprint portraits.
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Affiliation(s)
- Maria Nikoghosyan
- Research Group of Bioinformatics, Institute of Molecular Biology of National Academy of Sciences RA, Yerevan 0014, Armenia; (M.N.); (A.A.)
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan 0051, Armenia
| | - Maria Schmidt
- Interdisciplinary Centre for Bioinformatics, University of Leipzig, 04107 Leipzig, Germany; (M.S.); (H.L.-W.)
| | - Kristina Margaryan
- Research Group of Plant Genetics and Immunology, Institute of Molecular Biology of National Academy of Sciences RA, Yerevan 0014, Armenia;
- Department of Genetics and Cytology, Yerevan State University, Yerevan 0025, Armenia
| | - Henry Loeffler-Wirth
- Interdisciplinary Centre for Bioinformatics, University of Leipzig, 04107 Leipzig, Germany; (M.S.); (H.L.-W.)
| | - Arsen Arakelyan
- Research Group of Bioinformatics, Institute of Molecular Biology of National Academy of Sciences RA, Yerevan 0014, Armenia; (M.N.); (A.A.)
- Institute of Biomedicine and Pharmacy, Russian-Armenian University, Yerevan 0051, Armenia
| | - Hans Binder
- Interdisciplinary Centre for Bioinformatics, University of Leipzig, 04107 Leipzig, Germany; (M.S.); (H.L.-W.)
- Correspondence:
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Su K, Xing H, Guo Y, Zhao F, Liu Z, Li K, Li Y, Guo X. High-density genetic linkage map construction and cane cold hardiness QTL mapping for Vitis based on restriction site-associated DNA sequencing. BMC Genomics 2020; 21:419. [PMID: 32571215 PMCID: PMC7310074 DOI: 10.1186/s12864-020-06836-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 06/16/2020] [Indexed: 11/28/2022] Open
Abstract
Background Cold hardiness is an important agronomic trait and can significantly affect grape production and quality. Until now, there are no reports focusing on cold hardiness quantitative trait loci (QTL) mapping. In this study, grapevine interspecific hybridisation was carried out with the maternal parent ‘Cabernet sauvignon’ and paternal parent ‘Zuoyouhong’. A total of 181 hybrid offspring and their parents were used as samples for restriction-site associated DNA sequencing (RAD). Grapevine cane phloem and xylem cold hardiness of the experimental material was detected using the low-temperature exotherm method in 2016, 2017 and 2018. QTL mapping was then conducted based on the integrated map. Results We constructed a high-density genetic linkage map with 16,076, 11,643, and 25,917 single-nucleotide polymorphism (SNP) markers anchored in the maternal, paternal, and integrated maps, respectively. The average genetic distances of adjacent markers in the maps were 0.65 cM, 0.77 cM, and 0.41 cM, respectively. Colinearity analysis was conducted by comparison with the grape reference genome and showed good performance. Six QTLs were identified based on the phenotypic data of 3 years and they were mapped on linkage group (LG) 2, LG3, and LG15. Based on QTL results, candidate genes which may be involved in grapevine cold hardiness were selected. Conclusions High-density linkage maps can facilitate grapevine fine QTL mapping, genome comparison, and sequence assembly. The cold hardiness QTL mapping and candidate gene discovery performed in this study provide an important reference for molecular-assisted selection in grapevine cold hardiness breeding.
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Affiliation(s)
- Kai Su
- College of Horticulture, Shenyang Agricultural University, Shenyang, P.R. China
| | - Huiyang Xing
- College of Horticulture, Shenyang Agricultural University, Shenyang, P.R. China
| | - Yinshan Guo
- College of Horticulture, Shenyang Agricultural University, Shenyang, P.R. China. .,National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology, Shenyang, P.R. China.
| | - Fangyuan Zhao
- College of Horticulture, Shenyang Agricultural University, Shenyang, P.R. China
| | - Zhendong Liu
- College of Horticulture, Shenyang Agricultural University, Shenyang, P.R. China
| | - Kun Li
- College of Horticulture, Shenyang Agricultural University, Shenyang, P.R. China
| | - Yuanyuan Li
- College of Horticulture Science and Engineering, Shandong Agricultural University, Shandong, P.R. China
| | - Xiuwu Guo
- College of Horticulture, Shenyang Agricultural University, Shenyang, P.R. China. .,National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology, Shenyang, P.R. China.
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Tello J, Torres-Pérez R, Flutre T, Grimplet J, Ibáñez J. VviUCC1 Nucleotide Diversity, Linkage Disequilibrium and Association with Rachis Architecture Traits in Grapevine. Genes (Basel) 2020; 11:E598. [PMID: 32485819 PMCID: PMC7348735 DOI: 10.3390/genes11060598] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 05/25/2020] [Accepted: 05/27/2020] [Indexed: 11/25/2022] Open
Abstract
Cluster compactness is a trait with high agronomic relevance, affecting crop yield and grape composition. Rachis architecture is a major component of cluster compactness determinism, and is a target trait toward the breeding of grapevine varieties less susceptible to pests and diseases. Although its genetic basis is scarcely understood, a preliminary result indicated a possible involvement of the VviUCC1 gene. The aim of this study was to characterize the VviUCC1 gene in grapevine and to test the association between the natural variation observed for a series of rachis architecture traits and the polymorphisms detected in the VviUCC1 sequence. This gene encodes an uclacyanin plant-specific cell-wall protein involved in fiber formation and/or lignification processes. A high nucleotide diversity in the VviUCC1 gene promoter and coding regions was observed, but no critical effects were predicted in the protein domains, indicating a high level of conservation of its function in the cultivated grapevine. After correcting statistical models for genetic stratification and linkage disequilibrium effects, marker-trait association results revealed a series of single nucleotide polymorphisms (SNPs) significantly associated with cluster compactness and rachis traits variation. Two of them (Y-984 and K-88) affected two common cis-transcriptional regulatory elements, suggesting an effect on phenotype via gene expression regulation. This work reinforces the interest of further studies aiming to reveal the functional effect of the detected VviUCC1 variants on grapevine rachis architecture.
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Affiliation(s)
- Javier Tello
- Departamento de Viticultura, Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), 26080 Logroño, Spain; (R.T.-P.); (J.G.); (J.I.)
| | - Rafael Torres-Pérez
- Departamento de Viticultura, Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), 26080 Logroño, Spain; (R.T.-P.); (J.G.); (J.I.)
- Servicio de Bioinformática para Genómica y Proteómica (BioinfoGP), Centro Nacional de Biotecnología (CNB-CSIC), 28049 Madrid, Spain
| | - Timothée Flutre
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE-Le Moulon, 91190 Gif-sur-Yvette, France;
| | - Jérôme Grimplet
- Departamento de Viticultura, Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), 26080 Logroño, Spain; (R.T.-P.); (J.G.); (J.I.)
- Unidad de Hortofruticultura, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), 50059 Zaragoza, Spain
- Instituto Agroalimentario de Aragón-IA2 (CITA-Universidad de Zaragoza), 50059 Zaragoza, Spain
| | - Javier Ibáñez
- Departamento de Viticultura, Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), 26080 Logroño, Spain; (R.T.-P.); (J.G.); (J.I.)
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Liu Z, Haider MS, Khan N, Fang J. Comprehensive Sequence Analysis of IQD Gene Family and their Expression Profiling in Grapevine ( Vitis vinifera). Genes (Basel) 2020; 11:genes11020235. [PMID: 32102395 PMCID: PMC7073947 DOI: 10.3390/genes11020235] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 02/14/2020] [Accepted: 02/19/2020] [Indexed: 12/25/2022] Open
Abstract
The plant-specific IQ67-domain (IQD) protein family members are downstream targets of calcium sensors, known to regulate plant growth and lateral organ polarity, and basal defense response against environmental cues. No systematic study of IQD gene family has been performed on grapevine. The public availability of grapevine genome enables us to perform identification, phylogeny, chromosomal orientation, and gene structure analysis of the IQD genes in grapevine. We identified 49 VvIQD genes (VvIQD1–VvIQD49) and further classified them into eight subgroups based on phylogenetic relationships. The 49 VvIQD genes were assigned to 19 different chromosomal positions. The collinear relationship between grapevine and Arabidopsis IQDs (VvIQD and AtIQD), and within grapevine VvIQDs, was highly conserved. In addition, most of duplicated gene pairs showed Ka/Ks ratio less than 1.00, indicating purifying selection within these gene pairs, implying functional discrepancy after duplication. Transcription profiling of VvIQD genes shed light on their specific role in grapevine tissue and organ development. The qRT-PCR validation of the 49 VvIQD genes in grape berry tissue from cultivars with distinct berry shape during developmental phases suggested candidate genes involved in the shape of grape berries. The subcellular prediction of VvIQD22, VvIQD23, VvIQD38, and VvIQD49 genes validated their localization in the nucleus and plasma membrane. The VvIQD49 protein interaction with VvCaM2 was also verified by bimolecular fluorescence complementation (BiFC) analysis in the plasma membrane. Our findings will be valuable for the functional genomic studies for desirable shape development of grape berries.
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Affiliation(s)
- Zhongjie Liu
- Key Laboratory of Genetics and Fruit Development, College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China; (Z.L.); (M.S.H.)
| | - Muhammad Salman Haider
- Key Laboratory of Genetics and Fruit Development, College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China; (Z.L.); (M.S.H.)
| | - Nadeem Khan
- Ottawa Research and Development Center, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON K1A 0C6, Canada;
- Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa, ON K1N 6N5, Canada
| | - Jinggui Fang
- Key Laboratory of Genetics and Fruit Development, College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China; (Z.L.); (M.S.H.)
- Correspondence: ; Tel.: +86-02584395217; Fax: +86-02584395217
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Kui L, Tang M, Duan S, Wang S, Dong X. Identification of Selective Sweeps in the Domesticated Table and Wine Grape ( Vitis vinifera L.). FRONTIERS IN PLANT SCIENCE 2020; 11:572. [PMID: 32477387 PMCID: PMC7240110 DOI: 10.3389/fpls.2020.00572] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 04/17/2020] [Indexed: 05/05/2023]
Abstract
Grapevine (Vitis vinifera) is one of the most important fruit species in the Classical Mediterranean world. It is thought to have been domesticated 6,000-8,000 years ago in the Near East. However, the domestication of its wild relative into wine grapes or table grapes remains largely unknown. In this study, we analyzed 30 table grapes, 30 wine grapes, 30 dual-purpose grape accessions, as well as 30 wild relatives (Vitis vinifera ssp. sylvestris). The phenotypic comparison showed striking differences in berry weight, acidity and the content of aroma. Based on a total of 7,522,958 single-nucleotide polymorphisms, we identified several significant selective sweep regions for table and wine grapes. Besides the well-known sex-determination locus on chromosome 2, the other four highest signals shared by table and wine grapes could not be linked to the known QTLs. The identification of these genomic regions under selection sweep may reveal agronomically important traits that have been selected during grape domestication. This information not only sheds light on the mechanisms of adaptions and diversification, but also guide the genetic improvement in breeding programs.
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Affiliation(s)
- Ling Kui
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States
| | - Min Tang
- Institute of Life Sciences, Jiangsu University, Zhenjiang, China
| | - Shengchang Duan
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Nowbio Biotechnology Company, Kunming, China
| | | | - Xiao Dong
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Nowbio Biotechnology Company, Kunming, China
- *Correspondence: Xiao Dong,
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Salazar E, Durán V, Araya C, García M, Barba P. Advances in phenology and harvest characterization of the Chilean Vitis sp. germplasm collection and its use in table grape breeding. BIO WEB OF CONFERENCES 2020. [DOI: 10.1051/bioconf/20202504004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Germplasm collection and characterization is essential for plant breeding. Chile holds a collection of 347 Vitis accessions at Instituto de Investigaciones Agropecuarias, La Platina, that have been successfully used to develop new table grape cultivars such as Maylen®. Located in the central valley of Chile, a section of the Vitis collection was characterized for two consecutive seasons for phenology as well as fruit quality parameters at harvest. In terms of phenology, the collections can be grouped in four main clusters, with a higher representation of individuals at the middle and late timing. Fruit phenotyping showed significant differences among wine and table grapes for cluster and berry weight, seed number and fresh seed weight, polar and equatorial diameters, as well as the ratio among these parameters. Interestingly, rachis weight, a novel parameter associated with fruit storage capacity, did not show differences among groups. Other novel traits, such as the combination of commercial seedleesness and berry equatorial diameters above 2cm were less represented, suggesting the need to create and introduce genetic variability for table grape breeding purposes.
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29
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Kaya HB, Akdemir D, Lozano R, Cetin O, Sozer Kaya H, Sahin M, Smith JL, Tanyolac B, Jannink JL. Genome wide association study of 5 agronomic traits in olive (Olea europaea L.). Sci Rep 2019; 9:18764. [PMID: 31822760 PMCID: PMC6904458 DOI: 10.1038/s41598-019-55338-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 11/05/2019] [Indexed: 01/08/2023] Open
Abstract
Olive (Olea europaea L.) is one of the most economically and historically important fruit crops worldwide. Genetic progress for valuable agronomic traits has been slow in olive despite its importance and benefits. Advances in next generation sequencing technologies provide inexpensive and highly reproducible genotyping approaches such as Genotyping by Sequencing, enabling genome wide association study (GWAS). Here we present the first comprehensive GWAS study on olive using GBS. A total of 183 accessions (FULL panel) were genotyped using GBS, 94 from the Turkish Olive GenBank Resource (TOGR panel) and 89 from the USDA-ARS National Clonal Germplasm Repository (NCGR panel) in the USA. After filtering low quality and redundant markers, GWAS was conducted using 24,977 SNPs in FULL, TOGR and NCGR panels. In total, 52 significant associations were detected for leaf length, fruit weight, stone weight and fruit flesh to pit ratio using the MLM_K. Significant GWAS hits were mapped to their positions and 19 candidate genes were identified within a 10-kb distance of the most significant SNP. Our findings provide a framework for the development of markers and identification of candidate genes that could be used in olive breeding programs.
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Affiliation(s)
- Hilal Betul Kaya
- Department of Bioengineering, Faculty of Engineering, Manisa Celal Bayar University, Manisa, Turkey.
- School of Integrative Plant Science, Plant Breeding and Genetics Section, Cornell University, Ithaca, NY, USA.
| | - Deniz Akdemir
- Cornell Statistical Consulting Unit, Cornell University, Ithaca, NY, USA
| | - Roberto Lozano
- School of Integrative Plant Science, Plant Breeding and Genetics Section, Cornell University, Ithaca, NY, USA
| | | | | | | | - Jenny L Smith
- National Clonal Germplasm Repository, USDA-ARS, One Shields Avenue, Davis, CA, USA
| | - Bahattin Tanyolac
- Department of Bioengineering, Faculty of Engineering, Ege University, Bornova, Izmir, Turkey
| | - Jean-Luc Jannink
- School of Integrative Plant Science, Plant Breeding and Genetics Section, Cornell University, Ithaca, NY, USA
- USDA ARS, Robert W. Holley Center for Agriculture & Health, Ithaca, NY, USA
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30
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Zhou Y, Minio A, Massonnet M, Solares E, Lv Y, Beridze T, Cantu D, Gaut BS. The population genetics of structural variants in grapevine domestication. NATURE PLANTS 2019; 5:965-979. [PMID: 31506640 DOI: 10.1038/s41477-019-0507-8] [Citation(s) in RCA: 150] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 07/26/2019] [Indexed: 05/20/2023]
Abstract
Structural variants (SVs) are a largely unexplored feature of plant genomes. Little is known about the type and size of SVs, their distribution among individuals and, especially, their population dynamics. Understanding these dynamics is critical for understanding both the contributions of SVs to phenotypes and the likelihood of identifying them as causal genetic variants in genome-wide associations. Here, we identify SVs and study their evolutionary genomics in clonally propagated grapevine cultivars and their outcrossing wild progenitors. To catalogue SVs, we assembled the highly heterozygous Chardonnay genome, for which one in seven genes is hemizygous based on SVs. Using an integrative comparison between Chardonnay and Cabernet Sauvignon genomes by whole-genome, long-read and short-read alignment, we extended SV detection to population samples. We found that strong purifying selection acts against SVs but particularly against inversion and translocation events. SVs nonetheless accrue as recessive heterozygotes in clonally propagated lineages. They also define outlier regions of genomic divergence between wild and cultivated grapevines, suggesting roles in domestication. Outlier regions include the sex-determination region and the berry colour locus, where independent large, complex inversions have driven convergent phenotypic evolution.
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Affiliation(s)
- Yongfeng Zhou
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA, USA
| | - Andrea Minio
- Department of Viticulture and Enology, UC Davis, Davis, CA, USA
| | | | - Edwin Solares
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA, USA
| | - Yuanda Lv
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA, USA
| | - Tengiz Beridze
- Institute of Molecular Genetics, Agricultural University of Georgia, Tbilisi, Georgia
| | - Dario Cantu
- Department of Viticulture and Enology, UC Davis, Davis, CA, USA.
| | - Brandon S Gaut
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, CA, USA.
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31
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Larsen B, Migicovsky Z, Jeppesen AA, Gardner KM, Toldam-Andersen TB, Myles S, Ørgaard M, Petersen MA, Pedersen C. Genome-Wide Association Studies in Apple Reveal Loci for Aroma Volatiles, Sugar Composition, and Harvest Date. THE PLANT GENOME 2019; 12. [PMID: 31290918 DOI: 10.3835/plantgenome2018.12.0104] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Understanding the genetic architecture of fruit quality traits is crucial to target breeding of apple ( L.) cultivars. We linked genotype and phenotype information by combining genotyping-by-sequencing (GBS) generated single nucleotide polymorphism (SNP) markers with fruit flavor volatile data, sugar and acid content, and historical trait data from a gene bank collection. Using gas chromatography-mass spectrometry (GC-MS) analysis of apple juice samples, we identified 49 fruit volatile organic compounds (VOCs). We found a very variable content of VOCs, especially for the esters, among 149 apple cultivars. We identified convincing associations for the acetate esters especially butyl acetate and hexyl acetate on chromosome 2 in a region of several alcohol acyl-transferases including AAT1. For sucrose content and for fructose and sucrose in percentage of total sugars, we revealed significant SNP associations. Here, we suggest a vacuolar invertase close to significant SNPs for this association as candidate gene. Harvest date was in strong SNP association with a NAC transcription factor gene and sequencing identified two haplotypes associated with harvest date. The study shows that SNP marker characterization of a gene bank collection can be successfully combined with new and historical trait data for association studies. Suggested candidate genes may contribute to an improved understanding of the genetic basis for important traits and simultaneously provide tools for targeted breeding using marker-assisted selection (MAS).
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32
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Richter R, Gabriel D, Rist F, Töpfer R, Zyprian E. Identification of co-located QTLs and genomic regions affecting grapevine cluster architecture. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:1159-1177. [PMID: 30569367 DOI: 10.1007/s00122-018-3269-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 12/12/2018] [Indexed: 05/18/2023]
Abstract
Loose cluster architecture is an important aim in grapevine breeding since it has high impact on the phytosanitary status of grapes. This investigation analyzed the contributions of individual cluster sub-traits to the overall trait of cluster architecture. Six sub-traits showed large impact on cluster architecture as major determinants. They explained 57% of the OIV204 descriptor for cluster compactness rating in a highly diverse cross-population of 149 genotypes. Genetic analysis revealed several genomic regions involved in the expression of this trait. Based on the linkage of phenotypic features to molecular markers, QTL calculations shed new light on the genetic determinants of cluster architecture. Eight QTL clusters harbor overlapping confidence intervals of up to four co-located QTLs. A physical projection of the QTL clusters by confidence interval-flanking markers onto the PN40024 reference genome sequence revealed genes enriched in these regions.
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Affiliation(s)
- Robert Richter
- Institute for Grapevine Breeding Geilweilerhof, Julius Kuehn Institute, Federal Research Centre of Cultivated Plants, Geilweilerhof, 76833, Siebeldingen, Germany
| | - Doreen Gabriel
- Institute for Crop and Soil Science, Julius Kuehn Institute, Federal Research Centre of Cultivated Plants, Bundesallee 58, 38116, Brunswick, Germany
| | - Florian Rist
- Institute for Grapevine Breeding Geilweilerhof, Julius Kuehn Institute, Federal Research Centre of Cultivated Plants, Geilweilerhof, 76833, Siebeldingen, Germany
| | - Reinhard Töpfer
- Institute for Grapevine Breeding Geilweilerhof, Julius Kuehn Institute, Federal Research Centre of Cultivated Plants, Geilweilerhof, 76833, Siebeldingen, Germany
| | - Eva Zyprian
- Institute for Grapevine Breeding Geilweilerhof, Julius Kuehn Institute, Federal Research Centre of Cultivated Plants, Geilweilerhof, 76833, Siebeldingen, Germany.
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Liang Z, Duan S, Sheng J, Zhu S, Ni X, Shao J, Liu C, Nick P, Du F, Fan P, Mao R, Zhu Y, Deng W, Yang M, Huang H, Liu Y, Ding Y, Liu X, Jiang J, Zhu Y, Li S, He X, Chen W, Dong Y. Whole-genome resequencing of 472 Vitis accessions for grapevine diversity and demographic history analyses. Nat Commun 2019; 10:1190. [PMID: 30867414 PMCID: PMC6416300 DOI: 10.1038/s41467-019-09135-8] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 02/21/2019] [Indexed: 01/27/2023] Open
Abstract
Understanding the Vitis species at the genomic level is important for cultivar improvement of grapevine. Here we report whole-genome genetic variation at single-base resolution of 472 Vitis accessions, which cover 48 out of 60 extant Vitis species from a wide geographic distribution. The variation helps to identify a recent dramatic expansion and contraction of effective population size in the domesticated grapevines and that cultivars from the pan-Black Sea region have a unique demographic history in comparison to the other domesticated cultivars. We also find selective sweeps for berry edibility and stress resistance improvement. Furthermore, we find associations between candidate genes and important agronomic traits, such as berry shape and aromatic compounds. These results demonstrate resource value of the resequencing data for illuminating the evolutionary biology of Vitis species and providing targets for grapevine genetic improvement. Despite the importance of grapevine cultivation in human history and the economic values of cultivar improvement, large-scale genomic variation data are lacking. Here the authors resequence 472 Vitis accessions and use the identified genetic variations for domestication history, demography, and GWAS analyses.
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Affiliation(s)
- Zhenchang Liang
- Beijing Key Laboratory of Grape Sciences and Enology, Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
| | - Shengchang Duan
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, China.,Nowbio Biotechnology Company, Kunming, 650201, China
| | - Jun Sheng
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, China.,Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, 650201, China.,Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Shusheng Zhu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, China.,Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Xuemei Ni
- BGI, BGI-Shenzhen, Shenzhen, 518120, China.,BGI Institute of Applied Agriculture, BGI-Shenzhen, Shenzhen, 518120, China
| | - Jianhui Shao
- Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Chonghuai Liu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Peter Nick
- Botanical Institute, Karlsruhe Institute of Technology, Karlsruhe, 76128, Germany
| | - Fei Du
- Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Peige Fan
- Beijing Key Laboratory of Grape Sciences and Enology, Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Ruzhi Mao
- Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Yifan Zhu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, China.,Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Weiping Deng
- Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Min Yang
- Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Huichuan Huang
- Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Yixiang Liu
- Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Yiqing Ding
- Beijing Key Laboratory of Grape Sciences and Enology, Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xianju Liu
- Beijing Key Laboratory of Grape Sciences and Enology, Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jianfu Jiang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Youyong Zhu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, China.,Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, 650201, China.,Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China
| | - Shaohua Li
- Beijing Key Laboratory of Grape Sciences and Enology, Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Xiahong He
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, China. .,Key Laboratory for Agro-biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, 650201, China.
| | - Wei Chen
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, China. .,Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, 650201, China.
| | - Yang Dong
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, 650201, China. .,Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, 650201, China.
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Carvalho LC, Amâncio S. Cutting the Gordian Knot of abiotic stress in grapevine: From the test tube to climate change adaptation. PHYSIOLOGIA PLANTARUM 2019; 165:330-342. [PMID: 30357847 PMCID: PMC7379562 DOI: 10.1111/ppl.12857] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 09/25/2018] [Accepted: 10/22/2018] [Indexed: 05/05/2023]
Abstract
In Mediterranean climate areas, the available scenarios for climate change suggest an increase in the frequency of heat waves and severe drought in summer. Grapevine (Vitis vinifera L.) is a traditional Mediterranean species and is the most valuable fruit crop in the world. Currently, viticulture must adjust to impending climate changes that are already pushing vine-growers toward the use of irrigation, with the concomitant losses in wine quality, and researchers to study tolerance to stress in existing genotypes. The viticulture and winemaking worlds are in demand to understand the physiological potential of the available genotypes to respond to climate changes. In this review, we will focus on the cross-talk between common abiotic stresses that currently affect grapevine productivity and that are prone to affect it deeper in the future. We will discuss results obtained under three experimental stress conditions and that call for specific responses: (1) acclimatization of in vitro plantlets, (2) stress combinations in controlled conditions for research purposes, (3) extreme events in the field that, driven by climate changes, are pushing Mediterranean species to the limit. The different levels of tolerance to stress put in evidence by the plasticity of phenotypic and genotypic response mechanisms, will be addressed. This information is relevant to understand varietal adaptation to impending climate changes and to assist vine growers in choosing genotypes and viticulture practices.
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Affiliation(s)
- Luísa C. Carvalho
- Linking Landscape, Environment, Agriculture and Food (LEAF), Instituto Superior de AgronomiaUniversidade de LisboaTapada da Ajuda, 1349‐017, LisboaPortugal
| | - Sara Amâncio
- Linking Landscape, Environment, Agriculture and Food (LEAF), Instituto Superior de AgronomiaUniversidade de LisboaTapada da Ajuda, 1349‐017, LisboaPortugal
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Marrano A, Sideli GM, Leslie CA, Cheng H, Neale DB. Deciphering of the Genetic Control of Phenology, Yield, and Pellicle Color in Persian Walnut ( Juglans regia L.). FRONTIERS IN PLANT SCIENCE 2019; 10:1140. [PMID: 31616449 PMCID: PMC6764078 DOI: 10.3389/fpls.2019.01140] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Accepted: 08/21/2019] [Indexed: 05/02/2023]
Abstract
Yield, nut quality, and ability to adapt to specific climate conditions, are all important factors to consider in the development and selection of new Persian walnut (Juglans regia L.) varieties. The genetic control of these traits is still unknown in walnut, limiting the accuracy and rapidity of releasing new cultivars for commercial use. We studied the genetic architecture of five traits crucial for either marketing (i.e., yield, lateral fruit-bearing, and pellicle color) or selection of individuals with specific phenology (i.e., leafing and harvest date). By combining over 30 years of phenotypic data with genetic profiles generated using the latest Axiom™ J. regia 700K SNP array, we were able to identify and confirm major loci for all these traits. In particular, we revealed that a genomic region at the beginning of Chr1 controls both leafing and harvest date in walnut, consistent with the observed strong phenotypical correlation between these traits, and including candidate genes involved in plant development, leaf formation, and cell division. In addition, a large genomic region on Chr11 that includes genes with a central role in flowering control and shoot meristem growth underlies both lateral fruit-bearing and yield in walnut. We observed a more complex genetic architecture for pellicle color, strongly influenced by the environment (h 2 = 0.43). We identified two marker-trait associations on Chr6 and 7 for pellicle color, where genes encoding a UDP-glycosyltransferase or involved in the response to oxidation were found. In conclusion, by combining classical quantitative trait loci (QTL) mapping and genome-wide association mapping, we deciphered, for the first time, the molecular pathways controlling walnut phenology, yield, lateral fruitfulness, and pellicle color. Our findings represent a further milestone in the transition from conventional to genome-assisted breeding in Persian walnut.
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Affiliation(s)
- Annarita Marrano
- Department of Plant Sciences, University of California, Davis, CA, United States
- *Correspondence: Annarita Marrano,
| | - Gina M. Sideli
- Department of Plant Sciences, University of California, Davis, CA, United States
| | - Charles A. Leslie
- Department of Plant Sciences, University of California, Davis, CA, United States
| | - Hao Cheng
- Department of Animal Science, University of California, Davis, CA, United States
| | - David B. Neale
- Department of Plant Sciences, University of California, Davis, CA, United States
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Guo DL, Zhao HL, Li Q, Zhang GH, Jiang JF, Liu CH, Yu YH. Genome-wide association study of berry-related traits in grape [ Vitis vinifera L.] based on genotyping-by-sequencing markers. HORTICULTURE RESEARCH 2019; 6:11. [PMID: 30603096 PMCID: PMC6312537 DOI: 10.1038/s41438-018-0089-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 08/27/2018] [Accepted: 08/30/2018] [Indexed: 05/18/2023]
Abstract
Deciphering the genetic control of grape berry traits is crucial for optimizing yield, fruit quality, and consumer acceptability. In this study, an association panel of 179 grape genotypes comprising a mixture of ancient cultivars, landraces, and modern varieties collected worldwide were genotyped with genotyping-by-sequencing using a genome-wide association approach based on 32,311 single-nucleotide polymorphism (SNP) markers. Genome-wide efficient mixed-model association was selected as the optimal statistical model based on the results of known control loci of grape berry color traits. Many of the associated SNPs identified in this study were in accordance with the previous QTL analyses using biparental mapping. The grape skin color locus was found to be associated with a mybA transcription factor on chromosome 2. Two strong and distinct association signals associated with berry development periods were found on chromosome 16. Most candidate genes of the interval were highlighted as receptor-like protein kinase. For berry weight, significant association loci were identified on chromosome 18, as previously known, and on chromosome 19 and chromosome 17, as newly mapped. Berry flesh texture was newly located on chromosome 16; candidate genes in the interval were related to calcium. Berry flavor was determined on chromosome 5. Genomic regions were further investigated to reveal candidate genes. In this work, we identified interesting genetic determinants of grape berry-related traits. The identification of the markers closely associated with these berry traits may be useful for grape molecular breeding.
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Affiliation(s)
- Da-Long Guo
- College of Forestry, Henan University of Science and Technology, Luoyang, 471023 Henan Province China
| | - Hui-Li Zhao
- College of Forestry, Henan University of Science and Technology, Luoyang, 471023 Henan Province China
| | - Qiong Li
- College of Forestry, Henan University of Science and Technology, Luoyang, 471023 Henan Province China
| | - Guo-Hai Zhang
- College of Forestry, Henan University of Science and Technology, Luoyang, 471023 Henan Province China
| | - Jian-Fu Jiang
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009 Henan Province China
| | - Chong-Huai Liu
- Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009 Henan Province China
| | - Yi-He Yu
- College of Forestry, Henan University of Science and Technology, Luoyang, 471023 Henan Province China
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Parmley K, Nagasubramanian K, Sarkar S, Ganapathysubramanian B, Singh AK. Development of Optimized Phenomic Predictors for Efficient Plant Breeding Decisions Using Phenomic-Assisted Selection in Soybean. PLANT PHENOMICS (WASHINGTON, D.C.) 2019; 2019:5809404. [PMID: 33313530 PMCID: PMC7706298 DOI: 10.34133/2019/5809404] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Accepted: 07/06/2019] [Indexed: 05/19/2023]
Abstract
The rate of advancement made in phenomic-assisted breeding methodologies has lagged those of genomic-assisted techniques, which is now a critical component of mainstream cultivar development pipelines. However, advancements made in phenotyping technologies have empowered plant scientists with affordable high-dimensional datasets to optimize the operational efficiencies of breeding programs. Phenomic and seed yield data was collected across six environments for a panel of 292 soybean accessions with varying genetic improvements. Random forest, a machine learning (ML) algorithm, was used to map complex relationships between phenomic traits and seed yield and prediction performance assessed using two cross-validation (CV) scenarios consistent with breeding challenges. To develop a prescriptive sensor package for future high-throughput phenotyping deployment to meet breeding objectives, feature importance in tandem with a genetic algorithm (GA) technique allowed selection of a subset of phenotypic traits, specifically optimal wavebands. The results illuminated the capability of fusing ML and optimization techniques to identify a suite of in-season phenomic traits that will allow breeding programs to decrease the dependence on resource-intensive end-season phenotyping (e.g., seed yield harvest). While we illustrate with soybean, this study establishes a template for deploying multitrait phenomic prediction that is easily amendable to any crop species and any breeding objective.
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Affiliation(s)
- Kyle Parmley
- Department of Agronomy, Iowa State University, Ames, IA, USA
| | | | - Soumik Sarkar
- Department of Mechanical Engineering, Iowa State University, Ames, IA, USA
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Larsen B, Gardner K, Pedersen C, Ørgaard M, Migicovsky Z, Myles S, Toldam-Andersen TB. Population structure, relatedness and ploidy levels in an apple gene bank revealed through genotyping-by-sequencing. PLoS One 2018; 13:e0201889. [PMID: 30110387 PMCID: PMC6093671 DOI: 10.1371/journal.pone.0201889] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 07/24/2018] [Indexed: 12/20/2022] Open
Abstract
In recent years, new genome-wide marker systems have provided highly informative alternatives to low density marker systems for evaluating plant populations. To date, most apple germplasm collections have been genotyped using low-density markers such as simple sequence repeats (SSRs), whereas only a few have been explored using high-density genome-wide marker information. We explored the genetic diversity of the Pometum gene bank collection (University of Copenhagen, Denmark) of 349 apple accessions using over 15,000 genome-wide single nucleotide polymorphisms (SNPs) and 15 SSR markers, in order to compare the strength of the two approaches for describing population structure. We found that 119 accessions shared a putative clonal relationship with at least one other accession in the collection, resulting in the identification of 272 (78%) unique accessions. Of these unique accessions, over half (52%) share a first-degree relationship with at least one other accession. There is therefore a high degree of clonal and family relatedness in the Danish apple gene bank. We find significant genetic differentiation between Malus domestica and its supposed primary wild ancestor, M. sieversii, as well as between accessions of Danish origin and all others. Using the GBS approach allowed us to estimate ploidy levels, which were in accordance with flow cytometry results. Overall, we found strong concordance between analyses based on the genome-wide SNPs and the 15 SSR loci. However, we argue that GBS is superior to traditional SSR approaches because it allows detection of a much more detailed population structure and can be further exploited in genome-wide association studies (GWAS). Finally, we compare GBS with SSR for the purpose of identifying clones and pedigree relations in a diverse apple gene bank and discuss the advantages and constraints of the two approaches.
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Affiliation(s)
- Bjarne Larsen
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg C, Denmark
- * E-mail:
| | - Kyle Gardner
- Department of Plant, Food and Environmental Sciences, Dalhousie University, Faculty of Agriculture, Agricultural Campus, Truro, NS, Canada
| | - Carsten Pedersen
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg C, Denmark
| | - Marian Ørgaard
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg C, Denmark
| | - Zoë Migicovsky
- Department of Plant, Food and Environmental Sciences, Dalhousie University, Faculty of Agriculture, Agricultural Campus, Truro, NS, Canada
| | - Sean Myles
- Department of Plant, Food and Environmental Sciences, Dalhousie University, Faculty of Agriculture, Agricultural Campus, Truro, NS, Canada
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Marrano A, Micheletti D, Lorenzi S, Neale D, Grando MS. Genomic signatures of different adaptations to environmental stimuli between wild and cultivated Vitis vinifera L. HORTICULTURE RESEARCH 2018; 5:34. [PMID: 29977570 PMCID: PMC6026492 DOI: 10.1038/s41438-018-0041-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 03/23/2018] [Accepted: 04/06/2018] [Indexed: 05/03/2023]
Abstract
The application of population genetic methods in combination with gene mapping strategies can help to identify genes and mutations selected during the evolution from wild plants to crops and to explore the considerable genetic variation still maintained in natural populations. We genotyped a grapevine germplasm collection of 44 wild (Vitis vinifera subsp. sylvestris) and 48 cultivated (V. vinifera subsp. sativa) accessions at 54 K single-nucleotide polymorphisms (SNPs) to perform a whole-genome comparison of the main population genetic statistics. The analysis of Wright Fixation Index (FST) along the whole genome allowed us to identify several putative "signatures of selection" spanning over two thousand SNPs significantly differentiated between sativa and sylvestris. Many of these genomic regions included genes involved in the adaptation to environmental changes. An overall reduction of nucleotide diversity was observed across the whole genome within sylvestris, supporting a small effective population size of the wild grapevine. Tajima's D resulted positive in both wild and cultivated subgroups, which may indicate an ongoing balancing selection. Association mapping for six domestication-related traits was performed in combination with population genetics, providing further evidence of different perception and response to environmental stresses between sativa and sylvestris.
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Affiliation(s)
- Annarita Marrano
- Department of Genomics and Biology of Fruit Crops, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all ‘Adige (TN), Italy
| | - Diego Micheletti
- Computational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all ‘Adige (TN), Italy
| | - Silvia Lorenzi
- Department of Genomics and Biology of Fruit Crops, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all ‘Adige (TN), Italy
| | - David Neale
- Department of Plant Sciences, University of California, Davis, CA 95616 USA
| | - M. Stella Grando
- Department of Genomics and Biology of Fruit Crops, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all ‘Adige (TN), Italy
- Center Agriculture Food Environment (C3A), University of Trento, San Michele all ‘Adige (TN), Italy
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Klein LL, Miller AJ, Ciotir C, Hyma K, Uribe-Convers S, Londo J. High-throughput sequencing data clarify evolutionary relationships among North American Vitis species and improve identification in USDA Vitis germplasm collections. AMERICAN JOURNAL OF BOTANY 2018; 105:215-226. [PMID: 29578297 DOI: 10.1002/ajb2.1033] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2017] [Accepted: 01/04/2018] [Indexed: 06/08/2023]
Abstract
PREMISE OF THE STUDY Grapes are one of the most economically important berry crops worldwide, with the vast majority of production derived from the domesticated Eurasian species Vitis vinifera. Expansion of production into new areas, development of new cultivars, and concerns about adapting grapevines for changing climates necessitate the use of wild grapevine species in breeding programs. Diversity within Vitis has long been a topic of study; however, questions remain regarding relationships between species. Furthermore, the identity of some living accessions is unclear. METHODS This study generated 11,020 single nucleotide polymorphism (SNP) markers for more than 300 accessions in the USDA-ARS grape germplasm repository using genotyping-by-sequencing. Resulting data sets were used to reconstruct evolutionary relationships among several North American and Eurasian Vitis species, and to suggest taxonomic labels for previously unidentified and misidentified germplasm accessions based on genetic distance. KEY RESULTS Maximum likelihood analyses of SNP data support the monophyly of Vitis, subg. Vitis, a Eurasian subg. Vitis clade, and a North American subg. Vitis clade. Data delineate species groups within North America. In addition, analysis of genetic distance suggested taxonomic identities for 20 previously unidentified Vitis accessions and for 28 putatively misidentified accessions. CONCLUSIONS This work advances understanding of Vitis evolutionary relationships and provides the foundation for ongoing germplasm enhancement. It supports conservation and breeding efforts by contributing to a growing genetic framework for identifying novel genetic variation and for incorporating new, unsampled populations into the germplasm repository system.
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Affiliation(s)
- Laura L Klein
- Department of Biology, Saint Louis University, St. Louis, MO, 63110, USA
| | - Allison J Miller
- Department of Biology, Saint Louis University, St. Louis, MO, 63110, USA
| | - Claudia Ciotir
- Department of Biology, Saint Louis University, St. Louis, MO, 63110, USA
| | - Katie Hyma
- Cornell University, Institute for Biotechnology, Cornell University, Ithaca, NY, 14853, USA
| | - Simon Uribe-Convers
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Jason Londo
- United States Department of Agriculture, Agricultural Research Service, Grape Genetics Research Unit, Geneva, NY, 14425, USA
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Migicovsky Z, Li M, Chitwood DH, Myles S. Morphometrics Reveals Complex and Heritable Apple Leaf Shapes. FRONTIERS IN PLANT SCIENCE 2018; 8:2185. [PMID: 29354142 PMCID: PMC5758599 DOI: 10.3389/fpls.2017.02185] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Accepted: 12/12/2017] [Indexed: 05/19/2023]
Abstract
Apple (Malus spp.) is a widely grown and valuable fruit crop. Leaf shape is important for flowering in apple and may also be an early indicator for other agriculturally valuable traits. We examined 9,000 leaves from 869 unique apple accessions using linear measurements and comprehensive morphometric techniques. We identified allometric variation as the result of differing length-to-width aspect ratios between accessions and species of apple. The allometric variation was due to variation in the width of the leaf blade, not the length. Aspect ratio was highly correlated with the first principal component (PC1) of morphometric variation quantified using elliptical Fourier descriptors (EFDs) and persistent homology (PH). While the primary source of variation was aspect ratio, subsequent PCs corresponded to complex shape variation not captured by linear measurements. After linking the morphometric information with over 122,000 genome-wide single nucleotide polymorphisms (SNPs), we found high SNP heritability values even at later PCs, indicating that comprehensive morphometrics can capture complex, heritable phenotypes. Thus, techniques such as EFDs and PH are capturing heritable biological variation that would be missed using linear measurements alone.
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Affiliation(s)
- Zoë Migicovsky
- Department of Plant, Food and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS, Canada
| | - Mao Li
- Donald Danforth Plant Science Center, St. Louis, MO, United States
| | - Daniel H. Chitwood
- Department of Horticulture, Michigan State University, East Lansing, MI, United States
- Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, United States
| | - Sean Myles
- Department of Plant, Food and Environmental Sciences, Faculty of Agriculture, Dalhousie University, Truro, NS, Canada
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