terclim by ICS banner
IVES 9 IVES Conference Series 9 Haplotype-Resolved genome assembly of the Microvine

Haplotype-Resolved genome assembly of the Microvine

Abstract

Developing a tractable genetic engineering and gene editing system is an essential tool for grapevine. We initiated a plant transformation and biotechnology program at Oregon State University using the grape microvine system (V. vinifera) in 2018 to interrogate gene-to-trait relationships using traditional genetic engineering and gene editing. The microvine model is also used for nanomaterial-assisted RNP, DNA, and RNA delivery. Most reference genomes and annotations for grapevine are collapsed assemblies of homologous chromosomes and do not represent the specific microvine cultivar ‘043023V004’ under study at our institution. We used a trio-binning method combining PacBio HiFi and parental Illumina reads to develop a high-quality, haplotype-resolved microvine genome. This genome was refined using chromosome scaffolding with high-throughput chromosome conformation capture (Hi-C). To evaluate genome quality, we compared this genome with our own highly curated microvine genome, which was produced using a combination of Oxford Nanopore and PacBio Sequel I sequencing. While the new genome retains considerable large-scale structural synteny with existing grape genomes, it also revealed significant differences between haplotypes. The phasing approach has elucidated the unique allelic contributions of essential gene families like GRAS, which contribute to the microvine dwarfing, or MYB, involved in regulating pigment accumulation in berries. The roles of additional gene variants, alongside associated alternative-splicing events, provide insights into the dynamic regulation of these key gene families across haplotypes. This comprehensive genomic resource will accelerate the functional characterization of complex molecular gene interactions, enhance molecular marker development, and improve the precision of genome editing tools in grapevine research.

DOI:

Publication date: June 14, 2024

Issue: Open GPB 2024

Type: Poster

Authors

Samuel Talbot1*, Steven Carrell2, Brent Kronmiller2, Satyanarayana Gouthu1, Luca Bianco3, Paolo Fontana3, Mickael Malnoy3, and Laurent G. Deluc1&4

1Department of Horticulture, Oregon State University, Corvallis, USA
2Center for Quantitative Life Sciences, Oregon State University, Corvallis, USA,
3Foundation Edmund Mach, San Michelle All’addige, Italy
4Oregon Wine Research Institute, Oregon State University, Corvallis, USA

Contact the author*

Keywords

Microvine, HiFi, Haplotype-resolved genome, trio-binning method

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

Free amino acid composition of must from 7 Vitis vinifera L. cv. in Latium (Italy)

Free amino acid concentrations in must of 7 Vitis vinifera cultivars (Cabernet Franc, Syrah, Merlot, Montepulciano, Sangiovese, Cesanese d’Affile, Carmenere) grown in the Latium region (Italy) were monitored from 2003 to 2005. The cultivars were located in a homogeneous soil and climatic zone and with the same training system (Cordon Spur).

L’essor des produits “No-Low” : nouveaux défis pour l’étiquetage et la réglementation

In recent years, “no-low” products seem to become a new worldwide trend. It appears to be a possible answer to the well-known context of climate change, the decline in wine consumption, and the wellness/health trend (“free from” claims, vegan, and so on…) That consumers are looking for. The aim of this study is to provide an overview of the “no-low” products sold in the french market (but not only french products), focusing on the labelling, packaging, and sales presentation of these products.

Classification of the wine-growing environment of Central Mancha (Spain). First works

This paper describes a zoning study performed on a vast territory of around 86,500 hectares, situated in the countryside area of La Mancha Central (Castilla-La Mancha). The aim of the study was to classify the environment according to a small number of ecological criteria, establish the relevant territorial units and generate thematic maps with the different levels of criteria employed and synthetic maps by crossing these criteria.

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.

Screening of soil yeasts with fermentative capacity from the antarctic continent for their application in the wine industry

AIM: In the last years, many wineries are increasing experimentation to produce more distinguishable beverages. In this sense, the reduction of the fermentation temperature could be a useful tool because it preserves volatile compounds and prevents wines from browning, particularly in the case of white wines.