ArticleG3 (Bethesda, Md.)2022
A genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes under many new QTLs.
Article in G3 (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Pangenomic analyses in the cultivated grapevine confirm high genomic collinearity and extensive dispensable gene content likely involved in adaptation.G3 (Bethesda, Md.) · 2026Article
- Dissecting the genetic basis of relevant fruit quality traits in interspecific grapevines (Horticulture research · 2026Article
- Genome-wide association study of water-use efficiency and shoot biomass conferred by V. berlandieri rootstocks in grapevine.BMC plant biology · 2026Article
- Article
- Genome resequencing and custom genotyping elucidates the origin and dissemination history of an emblematic grapevine cultivar, 'Tempranillo Tinto'.Horticulture research · 2025Article
- Responding to Stress: Diversity and Resilience of Grapevine in a Changing Climate Under the Perspective of Omics Research.International journal of molecular sciences · 2025Review
- Genomic prediction in Persian walnut: Optimization levers according to genetic architecture of complex traits.The plant genome · 2025Article
- The Genetics of Plant-Plant Interactions and Their Cascading Effects on Agroecosystems-from Model Plants to Applications.Plant & cell physiology · 2025Review
- Characterization of Bunch Compactness in a Diverse Collection ofPlants (Basel, Switzerland) · 2025Article
- Grapevine pangenome facilitates trait genetics and genomic breeding.Nature genetics · 2024Article
- Genetic analysis of QTLs for lysine content in four maize DH populations.BMC genomics · 2024Article
- Enhancing grapevine breeding efficiency through genomic prediction and selection index.G3 (Bethesda, Md.) · 2024Article
- Dissecting the complex genetic basis of pre- and post-harvest traits inHorticulture research · 2024Article
- Comprehensive genetic diversity and genome-wide association studies revealed the genetic basis of avocado fruit quality traits.Frontiers in plant science · 2024Article
- Novel loci associated with resistance to downy and powdery mildew in grapevine.Frontiers in plant science · 2024Article
- Natural variation of respiration-related traits in plants.Plant physiology · 2023Review
- Dissection of the Pearl of Csaba pedigree identifies key genomic segments related to early ripening in grape.Plant physiology · 2023Article
- Polyploidization and genomic selection integration for grapevine breeding: a perspective.Frontiers in plant science · 2023Review
- Genetic dissection of QTLs for oil content in four maize DH populations.Frontiers in plant science · 2023Article
- Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics.Frontiers in plant science · 2023Review
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Authors and funding
22 authors.
Funding
No grant is acknowledged in the PubMed record.
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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