terclim by ICS banner
IVES 9 IVES Conference Series 9 Development and application of CRISPR/Cas in grapevine

Development and application of CRISPR/Cas in grapevine

Abstract

The development and application of CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated protein) technologies have revolutionized genome editing in plants due to its simplicity, high efficiency, and versatility. As an economically important fruit crop worldwide, grapevine genome editing using CRISPR/Cas technologies has also been reported these years.  Here we introduce the development briefly of the most popular CRISPR/Cas9 system and also the state-of-the-art CRISPR technologies developed so far. Moreover, we summarize CRISPR/Cas9-mediated applications for gene functional study and trait improvement in grapevine. Optimization of CRISPR/Cas9 system, as well as the other CRISPR/Cas systems including CRISPR/LbCas12a and base editor in grapevine genome editing, is also discussed. In addition, we discuss the challenges and future perspectives for precision genome editing in grapevine, expecting to present a roadmap for the future applications of CRISPR technology in this species.

DOI:

Publication date: June 13, 2024

Issue: Open GPB 2024

Type: Article

Authors

Zhenchang Liang1,2,3*, Chong Ren1,2,3

1 State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, the Chinese Academy of Sciences, Beijing 100093, PR China
2 Beijing Key Laboratory of Grape Sciences and Enology, Beijing 100093, PR China
3 China National Botanical Garden, Beijing 100093, PR China

Contact the author*

Keywords

grapevine, genome editing, CRISPR/Cas, challenges, future perspectives

Tags

IVES Conference Series | Open GPB | Open GPB 2024

Citation

Related articles…

IDENTIFYING POTENTIAL CHEMICAL MARKERS RESPONSIBLE FOR THE PERMISSIVENESS OF BORDEAUX RED WINES AGAINST BRETTANOMYCES BRUXELLENSIS USING UNTARGETED METABOLOMICS

All along the red winemaking process, many microorganisms develop in wine, some being beneficial and essential, others being feared spoilers. One of the most feared microbial enemy of wine all around the world is Brettanomyces bruxellensis. Indeed, in red wines, this yeast produces volatile phenols, molecules associated with a flavor described as “horse sweat”, “burnt plastic” or “leather”. To produce significant and detectable concentrations of these undesired molecules, the yeasts should first grow and become numerous enough. Even if the genetic group of the strain present and the cellar temperature may modulate the yeast growth rate¹ and thus the risk of spoilage, the main factor seems to be the wines themselves, some being much more permissive to B. bruxellensis development than others.

Projections of vine phenology and grape composition of Tempranillo variety In Rioja DOCa (Spain) under climate change

Aims: Some of the most direct effects of climate variability on grapevines are the changes in the onset and timing of phenological events and in the length of the growing season, which may affect grape quality. The aim of this research was to analyze the projected changes in vine phenology and on grape composition of the Tempranillo variety in Rioja DOCa under different climate change scenarios.

Climate and the evolving mix of grape varieties in Australia’s wine regions

The purpose of this study is to examine the changing mix of winegrape varieties in Australia so as to address the question: In the light of key climate indicators and predictions of further climate change, how appropriate are the grape varieties currently planted in Australia’s wine regions? To achieve this, regions are classified into zones according to each region’s climate variables, particularly average growing season temperature (GST), leaving aside within-region variations in climates. Five different climatic classifications are reported. Using projections of GSTs for the mid- and late 21st century, the extent to which each region is projected to move from its current zone classification to a warmer one is reported. Also shown is the changing proportion of each of 21 key varieties grown in a GST zone considered to be optimal for premium winegrape production. Together these indicators strengthen earlier suggestions that the mix of varieties may be currently less than ideal in many Australian wine regions, and would become even less so in coming decades if that mix was not altered in the anticipation of climate change. That is, grape varieties in many (especially the warmest) regions will have to keep changing, or wineries will have to seek fruit from higher latitudes or elevations if they wish to retain their current mix of varieties and wine styles.

Differences in metabolism among species and hybrids of the genus Saccharomyces during wine fermentation unveiled by multi-omic analysis 

Yeast species S. cerevisiae, S. uvarum, S. kudriavzevii and their hybrids present clear metabolic differences, even when we compared S. cerevisiae wine versus wild strain. These species and hybrids produced significantly higher amounts of glycerol, organic acids, 2,3-butanediol, and 2-phenyl ethanol and a reduction of the ethanol yield, properties very interesting in the sector to deal with climate change effects. To understand the existing differences, we have used several omics techniques to analyze the dynamics of the (intra- and extracellular) metabolomes and/or transcriptomes of representative strains of S. cerevisiae, S. uvarum, S. kudriavzevii, and hybrids.

Deep learning based models for grapevine phenology

the phenological evolution is a crucial aspect of grapevine growth and development. Accurate detection of phenological stages can improve vineyard management, leading to better crop yield and quality traits. However, traditional methods of phenological tracking such as on-site observations are time-consuming and labour-intensive. This work proposes a scalable data-driven method to automatically detect key phenological stages of grapevines using satellite data. Our approach applies to vast areas because it solely relies on open and satellite data having global coverage without requiring any in-field data from weather stations or other sensors making the approach extensible to other areas.