terclim by ICS banner
IVES 9 IVES Conference Series 9 VviSOC1a and VviAG1 act antagonistically in the regulation of flower formation

VviSOC1a and VviAG1 act antagonistically in the regulation of flower formation

Abstract

The SUPPRESSOR OF OVEREXPRESSION OF CONSTANS1 (SOC1) is a key floral activator that coordinates external and internal stimuli to ensure timely flowering. During early stages of flower formation, SOC1 represses floral organ identity genes such as AGAMOUS (AG) to prevent premature organ differentiation. In addition to floral organ specification, AG has been shown to regulate fleshy fruit expansion and ripening and, as such, is an important contributor to fruit quality traits. Currently, little is known about the function and gene regulatory network of the grapevine homologs VviSOC1a and VviAG1. As such, the aim of this study was to functionally characterise both genes by overexpressing them in tomato and performing phenotypic and gene expression studies. A dual luciferase (DL) assay involving putative target gene promoters was also conducted. Overexpression of VviSOC1a led to the development of leaf-like sepals, petals with increased chlorophyll content and plant sterility phenotypes. VviAG1-OE lines displayed hastened floral initiation, stamenoid petals, dwarfed fruit, as well as forming fleshy fruit sepals which gave the appearance of ripened pericarp tissue. The observed floral phenotypes were, in part, supported by the modulation of genes required for floral organ specification in tomato. VviSOC1a and VviAG1 displayed opposite expression trends, while also repressing each other’s expression in the DL assay. Collectively, the findings of this study supported a role for VviSOC1a in regulating floral organ specification, through the repression of the stamen and carpel identity gene VviAG1. An additional function for VviAG1 in berry development and ripening is also suggested.

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Jenna Jolliffe1,2, Claudio Moser2, Stefania Pilati2 and Justin Lashbrooke3*

1South African Grape and Wine Research Institute, Stellenbosch University, Stellenbosch, 7600, South Africa
2Research and Innovation Centre, Edmund Mach Foundation, San Michele all’Adige, 38098, Italy
3Department of Genetics, Stellenbosch University, Stellenbosch, 7600, South Africa

Contact the author*

Keywords

SOC1, AG1, Flower, transcription factor, development

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Towards the definition of a terroir of grape dehydration for the production of ‘Passito’ wines in Valpolicella (Italy)

Aim: The aim of this study was to investigate the relationship between the molecular response of grapes during postharvest dehydration and the specific environment of two naturally ventilated rooms (called ‘fruttai’), located in two different sites in Valpolicella

UHPLC-HRMS analysis for the evaluation of formation and degradation of polysulfides in wine 

The contribution of sulfur compounds to wine aroma has been studied for several years, as their role can be either positive, contributing to the fruitiness and typicity of some white wines like Sauvignon blanc, or negative when related to off-flavours caused by H2S.

Understanding the genetic determinism of phenological and quality traits in ‘Corvina’ grape variety for selection of improved genotypes

Downy and powdery mildew are major issues in grapevine cultivation, requiring many phytosanitary treatments to ensure yield and quality. Climatic changes are also challenging grape cultivation

Measures to promote biodiversity in viticulture—how do socio-economic factors influence implementation?

Context and purpose. In Germany, vineyards are typically intensively managed monocultural systems shaped by low structural variability.

Prediction of sauvignon blanc quality gradings with static headspace−gas chromatography−ion mobility spectrometry (SHS−GC−IMS) and machine learning

The main goal of the current study is the development of a cost-effective and easy-to-use method suitable for use in the laboratory of commercial wineries to analyze wine aroma. Additionally, this study attempted to establish a prediction model for wine quality gradings based on their aroma, which could reveal the important aroma compounds that correlate well with different grades of perceived quality METHODS: Parameters of the SHS−GC−IMS instrument were first optimized to acquire the most desirable chromatographic resolution and signal intensities. Method stability was then exhibited by repeatability and reproducibility. Subsequently, compound identification was conducted. After method development, a total of 143 end-ferment wine samples of three different quality gradings from vintage 2020 were analyzed with the SHS−GC−IMS instrument. Six machine learning methods were employed to process the results and construct a quality prediction model. Techniques that aim to explain the model to extract useful insights were also applied.