terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Model-assisted analysis of the root traits underlying RSA genotypic diversity in Vitis: a promising approach for rootstock selection?

Model-assisted analysis of the root traits underlying RSA genotypic diversity in Vitis: a promising approach for rootstock selection?

Abstract

By dissecting the root system architecture (RSA) into its underpinning components (e.g. root emission, axial growth, radial growth, branching, root direction or tropism) and identifying the relationships between them, functional-structural 3D root models are promising tools for analyzing the diversity and complexity of root system phenotypes with Genotype × Environment interactions. The model parameters are assumed to be synthetic traits, less influenced by the environment, and consequently with less polygenic architectures than the integrative RSA traits they drive. Root models can serve as a basis for in silico development of root system ideotypes by highlighting the developmental processes and parameters that most likely influence RSA fitness. Based on this principle, we provide here an overview of our original work on RSA phenotyping and model-assisted trait dissection in grapevine. First, we set up 2D imaging-based phenotyping tools and analysis pipelines for high-resolution quantification of root morphological and architectural characteristics in juvenile grapevines grown in different controlled conditions (hydroponics, rhizotrons and pots). Specific root descriptors (e.g. number of first-order roots, apical diameter, branching density, length of the unbranched apical zone, insertion angle…) were then measured to calibrate the Archisimple 3D RSA model [1] on a set of Vitis rootstock cuttings. We also investigated whether the model parameters were well conserved over time and under different environments. Finally, we characterized the genetic architecture of few parameters among the 138 individus of a mapping progeny derived from an interspecific cross between Vitis vinifera cv. Cabernet-Sauvignon × V. riparia cv. Gloire de Montpellier grown in the field for 2 years. Broad-sense heritability and QTLs analyses were carried out for model parameters and variables outputs with a consensus map, and compared with other QTLs obtained on classical used RSA descriptors. Results give new insights into the genetic control of RSA in grapevine rootstocks.

References:

1)  Pagès L. et al. (2014) Calibration and evaluation of ArchiSimple, a parsimonious model of the root system architecture. Ecol. Mod., 290: 76-84. DOI:10.1016/j.ecolmodel.2013.11.014

DOI:

Publication date: October 6, 2023

Issue: ICGWS 2023

Type: Poster

Authors

Larrey M, Tandonnet JP, Patin ER, Blois L, Marguerit E, de Miguel M, Saint Cast C, Vivin P

EGFV, University of Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, 33882 Villenave d’Ornon, France

Contact the author*

Keywords

root traits, root system architecture, phenotyping, 3D modelling, rootstock diversity

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Can yeast cells sense other yeasts beyond competition interactions?

The utilization of non-Saccharomyces yeasts in the wine industry has increased significantly in recent years. Alternative species need commonly be employed in combination with Saccharomyces cerevisiae to avoid stuck fermentation, or microbial spoilage. The employment of more than one yeast starter can lead to interactions between different species with an impact on the outcome of wine fermentation. Previous studies[1] demonstrated that S. cerevisiae elicits transcriptional responses with both shared and species-specific features in co-culture with other yeast species.

Sugar accumulation disorder Berry Shrivel – from current knowledge towards novel hypothesis

In contrast to fruit and grape berry ripening, the biological processes causing ripening disorders are often much less understood, although shriveling disorders of fruits are manifold and contribute to yield losses and reduced fruit quality worldwide. Shrinking berries are a common feature for all shriveling disorders in grapevine although their timing of appearance during the berry ripening process and their underlying induction processes distinct them from each other. The sugar accumulation disorder Berry Shrivel (BS) is characterized by a suppression of sugar accumulation short after veraison resulting in berries low in sugar content and anthocyanins in berry skins, while the organic acid content is similar. Recent studies analyzed the biochemical, morphological and molecular processes affected in BS berries and linked early changes to the period of ripening onset [1,2].

Characterization of non-cultivated wild grapevines in Extremadura (Spain) 

Several Eurasian wild grapevine populations were found along Extremadura region (southwestern Spain). For conservation and study, one individual from four different populations (named L1, L2, L5 and L6) was vegetatively propagated and planted at Instituto de Investigaciones Agrarias Finca La Orden (CICYTEX), Badajoz. The aim of the present work was to characterize those conserved individuals from four different populations based on both an ampelographic description and a molecular analysis. Three vines per individual were studied.

Advancing grapevine science through genomic research

The seminar will examine the complexities and prospects of genomic research on Vitis species, characterize by exceptionally high heterozygosity and common interspecific gene flow. The seminar will showcase case studies highlighting the critical role of diploid genome references in grape research, specifically in areas such as aroma development, disease resistance, and domestication traits. It will also address the emerging focus on pangenomes within the Vitis genus, particularly in the context of genetic studies on naturally interbreeding populations.

Unveiling a hidden link: does time hold the key to altered spectral signatures of grapevines under drought?

Remote sensing technology captures spectral data beyond the visible range, making it useful for monitoring plant stress. Vis-NIR (Visible-Near Infrared) spectroscopy (400-1000 nm) is commonly used to indirectly assess plant status during drought. One example is the widespread use of normalized difference vegetation index (NDVI) that is strongly linked to green biomass. However, a knowledge gap exists regarding the applicability of this method to all the drought conditions and if it is a direct correlation to the water status of the plant.