terclim by ICS banner
IVES 9 IVES Conference Series 9 Characterization of bunch compactness and identification of associated genes in a diverse collection of cultivars of Vitis vinifera L.

Characterization of bunch compactness and identification of associated genes in a diverse collection of cultivars of Vitis vinifera L.

Abstract

Compactness is a complex trait of V. vinifera L. and is defined ultimately by the portion of free space within the bunch which is not occupied by the berries. A high degree of compactness results in poor ventilation and consequently a higher susceptibility to fungal diseases, diminishing the quality of the fruit. The easiness to conceptualize the trait and its importance arguably contrasts with the difficulty to measure and quantify it. However, recent technical advancements have allowed to study this attribute more accurately over the last decade. Our main objective was to explore the underlying genetics determining bunch compactness by applying updated phenotyping methods in a collection of V. vinifera L. cultivars with a wide genetic diversity.
A collection of 116 genotypes composed by 24 wine, 56 table and 26 mixed usage varieties was characterized over two seasons measuring several traits determining Compactness Indexes (CI), as proposed in literature. CI-18 performed the best on this collection and genotypes with extreme values with loose and dense bunches were further studied (n = 10 each group). RNA of these samples was collected at key developmental stages to study the expression of VvUCC1, VvGRF4 and other genes associated to this trait. We also evaluated the performance of automated phenotyping for this wide collection of varieties by applying precision phenotyping through 3D scan and point cloud library-based methods. Combining this data with 127,631 informative SNPs identified by genotyping-by-sequencing could lead to identify further loci associated with this attribute through GWAS.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Marco Meneses1, Renato Fuentes1, Ignacia Fuentes1, Claudia Muñoz-Espinoza2, Carolina Araya1, Juan Iribarra1, Erika Salazar1, Claudio Meneses3, Katja Herzog4, Patricio Hinrichsen1*

1 Instituto de Investigaciones Agropecuarias, INIA La Platina. Santiago, Chile.
2 Agronomy Faculty, Universidad de Concepción. Chillán, Chile.
3 Agronomy Faculty, P. Universidad Católica de Chile. Santiago, Chile.
4 Julius Kühn-Institut. Institute for Grapevine Breeding. Geilweilerhof, Germany.

Contact the author*

Keywords

Bunch compactness, qPCR, GBS, automated phenotyping

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Caratterizzazione varietale della CV. Vranac del Montenegro: primi risultati

Questo studio ha permesso di raccogliere alcune informazioni sul profilo chimico della cultivar Vranac coltivata in Montenegro. L’uva ha mostrato di raggiungere un buon accumulo zuccherino

Sensory quality of wines as a trait in MAS grape vine breeding – sensory insights from multiple vintages in a F1 breeding population

In the context of the three global crises of global warming, loss of biodiversity and environmental pollution, current agricultural practices need to be reconsidered [1]. Viticulture in particular can contribute to this by optimising plant protection [2].

Acetaldehyde-induced condensation products in red wines affect the precipitation of salivary proteins. Will this impact astringency?

Acetaldehyde is a common component of wine. It is already formed during the fermentation being an intermediate in the production of ethanol. Moreover, it can derive from the oxidation of ethanol during the wine production and aging. In wine, concentrations of acetaldehyde range from 30 to 130 mg/L. Acetaldehyde in wine can react with many compounds such as SO2, amino acids and

1H-NMR-based Metabolomics to assess the impact of soil type on the chemical composition of Mediterranean red wines

The aim of this study was to evaluate the effects of different soil types on the chemical composition of Mediterranean red wines, through untargeted and targeted 1H-NMR metabolomics. One milliliter of raw wine was analyzed by means of a Bruker Avance II 400 spectrometer operating at 400.15 MHz. The spectra were recorded by applying the NOESYGPPS1D pulse sequency, to achieve water and ethanol signals suppression. No modification of the pH was performed to avoid any chemical alteration of the matrix. The generation of input variables for untargeted analysis was done via bucketing the spectra. The resulting dataset was preprocessed prior to perform unsupervised PCA, by means of MetaboAnalyst web-based tool suite. The identification of compounds for the targeted analysis was performed by comparison to pure compounds spectra by means of SMA plug-in of MNova 14.2.3 software. The dataset containing the concentrations (%) of identified compounds was subjected to one-way analysis of variance (ANOVA) to highlight significant differences among the wines. The untargeted analysis, carried out through the PCA, revealed a clear differentiation among the wines. The fragments of the spectra contributing mostly to the separation were attributed to flavonoids, aroma compounds and amino acids. The targeted analysis leaded to the identification of 68 compounds, whose concentrations were significant different among the wines. The results were related to soils physical-chemical analysis and showed that: 1) high concentrations of flavan-3-ols and flavonols are correlated with high clay content in soils; 2) high concentrations of anthocyanins, amino acids, and aroma compounds are correlated with neutral and moderately alkaline soil pH; 3) low concentrations of flavonoids and aroma compounds are correlated with high soil organic matter content and acidic pH. The 1H-NMR metabolomic analysis proved to be an excellent tool to discriminate between wines originating from grapes grown on different soil types and revealed that soils in the Mediterranean area exert a strong impact on the chemical composition of the wines.

New tool to evaluate color modifications during oxygen consumption in white and red wines

Measuring the effect of oxygen consumption on the color of wines as the level of dissolved oxygen decreases over time is very useful to know how much oxygen a wine can consume without significantly altering its color. The changes produced in wine after being exposed to high oxygen concentrations have been studied by different authors, but in all cases the wine has been analyzed once the oxygen consumption process has been completed. This work presents the results obtained with the use of an equipment designed and made to measure simultaneously the level of dissolved oxygen and the spectrum of the wine, during the oxygen consumption process from saturation levels with air to very low levels, which indicate the total consumption of the dosed oxygen[1,2].