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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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Wang H, Yan A, Sun L, Zhang G, Wang X, Ren J, Xu H. Novel stable QTLs identification for berry quality traits based on high-density genetic linkage map construction in table grape. BMC PLANT BIOLOGY 2020; 20:411. [PMID: 32883214 PMCID: PMC7470616 DOI: 10.1186/s12870-020-02630-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 08/30/2020] [Indexed: 05/18/2023]
Abstract
BACKGROUND Aroma, berry firmness and berry shape are three main quality traits in table grape production, and also the important target traits in grapevine breeding. However, the information about their genetic mechanisms is limited, which results in low accuracy and efficiency of quality breeding in grapevine. Mapping and isolation of quantitative trait locus (QTLs) based on the construction of genetic linkage map is a powerful approach to decipher the genetic determinants of complex quantitative traits. RESULTS In the present work, a final integrated map consisting of 3411 SLAF markers on 19 linkage groups (LGs) with an average distance of 0.98 cM between adjacent markers was generated using the specific length amplified fragment sequencing (SLAF-seq) technique. A total of 9 significant stable QTLs for Muscat flavor, berry firmness and berry shape were identified on two linkage groups among the hybrids analyzed over three consecutive years from 2016 to 2018. Notably, new stable QTLs for berry firmness and berry shape were found on LG 8 respectively for the first time. Based on biological function and expression profiles of candidate genes in the major QTL regions, 3 genes (VIT_08s0007g00440, VIT_08s0040g02740 and VIT_08s0040g02350) related to berry firmness and 3 genes (VIT_08s0032g01110, VIT_08s0032g01150 and VIT_08s0105g00200) linked to berry shape were highlighted. Overexpression of VIT_08s0032g01110 in transgenic Arabidopsis plants caused the change of pod shape. CONCLUSIONS A new high-density genetic map with total 3411 markers was constructed with SLAF-seq technique, and thus enabled the detection of narrow interval QTLs for relevant traits in grapevine. VIT_08s0007g00440, VIT_08s0040g02740 and VIT_08s0040g02350 were found to be related to berry firmness, while VIT_08s0032g01110, VIT_08s0032g01150 and VIT_08s0105g00200 were linked to berry shape.
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Affiliation(s)
- Huiling Wang
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, 100093, P.R. China
| | - Ailing Yan
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
- Beijing Engineering Research Center for Deciduous Fruit Trees, Beijing, 100093, P.R. China
| | - Lei Sun
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
| | - Guojun Zhang
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
| | - Xiaoyue Wang
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
| | - Jiancheng Ren
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China
| | - Haiying Xu
- Beijing Academy of Forestry and Pomology Sciences, Beijing, 100093, China.
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Construction of a High-Density Genetic Map and Mapping of Firmness in Grapes ( Vitis vinifera L.) Based on Whole-Genome Resequencing. Int J Mol Sci 2020; 21:ijms21030797. [PMID: 31991832 PMCID: PMC7037167 DOI: 10.3390/ijms21030797] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 01/22/2020] [Accepted: 01/22/2020] [Indexed: 12/14/2022] Open
Abstract
Berry firmness is one of the most important quality traits in table grapes. The underlying molecular and genetic mechanisms for berry firmness remain unclear. We constructed a high-density genetic map based on whole-genome resequencing to identify loci associated with berry firmness. The genetic map had 19 linkage groups, including 1662 bin markers (26,039 SNPs), covering 1463.38 cM, and the average inter-marker distance was 0.88 cM. An analysis of berry firmness in the F1 population and both parents for three consecutive years revealed continuous variability in F1, with a distribution close to the normal distribution. Based on the genetic map and phenotypic data, three potentially significant quantitative trait loci (QTLs) related to berry firmness were identified by composite interval mapping. The contribution rate of each QTL ranged from 21.5% to 28.6%. We identified four candidate genes associated with grape firmness, which are related to endoglucanase, abscisic acid (ABA), and transcription factors. A qRT-PCR analysis revealed that the expression of abscisic-aldehyde oxidase-like gene (VIT_18s0041g02410) and endoglucanase 3 gene (VIT_18s0089g00210) in Muscat Hamburg was higher than in Crimson Seedless at the veraison stage, which was consistent with that of parent berry firmness. These results confirmed that VIT_18s0041g02410 and VIT_18s0089g00210 are candidate genes associated with berry firmness.
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Delfino P, Zenoni S, Imanifard Z, Tornielli GB, Bellin D. Selection of candidate genes controlling veraison time in grapevine through integration of meta-QTL and transcriptomic data. BMC Genomics 2019; 20:739. [PMID: 31615398 PMCID: PMC6794750 DOI: 10.1186/s12864-019-6124-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 09/20/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND High temperature during grape berry ripening impairs the quality of fruits and wines. Veraison time, which marks ripening onset, is a key factor for determining climatic conditions during berry ripening. Understanding its genetic control is crucial to successfully breed varieties more adapted to a changing climate. Quantitative trait loci (QTL) studies attempting to elucidate the genetic determinism of developmental stages in grapevine have identified wide genomic regions. Broad scale transcriptomic studies, by identifying sets of genes modulated during berry development and ripening, also highlighted a huge number of putative candidates. RESULTS With the final aim of providing an overview about available information on the genetic control of grapevine veraison time, and prioritizing candidates, we applied a meta-QTL analysis for grapevine phenology-related traits and checked for co-localization of transcriptomic candidates. A consensus genetic map including 3130 markers anchored to the grapevine genome assembly was compiled starting from 39 genetic maps. Two thousand ninety-three QTLs from 47 QTL studies were projected onto the consensus map, providing a comprehensive overview about distribution of available QTLs and revealing extensive co-localization especially across phenology related traits. From 141 phenology related QTLs we generated 4 veraison meta-QTLs located on linkage group (LG) 1 and 2, and 13 additional meta-QTLs connected to the veraison time genetic control, among which the most relevant were located on LG 14, 16 and 18. Functional candidates in these intervals were inspected. Lastly, taking advantage of available transcriptomic datasets, expression data along berry development were integrated, in order to pinpoint among positional candidates, those differentially expressed across the veraison transition. CONCLUSION Integration of meta-QTLs analysis on available phenology related QTLs and data from transcriptomic dataset allowed to strongly reduce the number of candidate genes for the genetic control of the veraison transition, prioritizing a list of 272 genes, among which 78 involved in regulation of gene expression, signal transduction or development.
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Affiliation(s)
- Pietro Delfino
- Department of Biotechnology, University of Verona, Strada le Grazie 15, 37134, Verona, Italy.,Present address: Department of Diagnostics and Public Health, Section of Pathology, University and Hospital Trust of Verona, Verona, Italy
| | - Sara Zenoni
- Department of Biotechnology, University of Verona, Strada le Grazie 15, 37134, Verona, Italy
| | - Zahra Imanifard
- Department of Biotechnology, University of Verona, Strada le Grazie 15, 37134, Verona, Italy
| | | | - Diana Bellin
- Department of Biotechnology, University of Verona, Strada le Grazie 15, 37134, Verona, Italy.
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