Next Article in Journal
Salivary Protein Profile in Patients with Recurrent Aphthous Stomatitis: A Pilot Proteomic Study
Previous Article in Journal
Mesenchymal Stromal Cell-Derived Extracellular Vesicles as a Therapeutic Treatment for Osteosarcopenia: Crosstalk Among Neurons, Muscle, and Bone
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Responding to Stress: Diversity and Resilience of Grapevine in a Changing Climate Under the Perspective of Omics Research

1
Interdisciplinary Centre for Bioinformatics, Leipzig University, 04107 Leipzig, Germany
2
Armenian Bioinformatics Institute, Yerevan 0014, Armenia
3
Institute of Molecular Biology of National Academy of Sciences, Yerevan 0014, Armenia
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2025, 26(16), 7877; https://doi.org/10.3390/ijms26167877
Submission received: 8 July 2025 / Revised: 12 August 2025 / Accepted: 13 August 2025 / Published: 15 August 2025

Abstract

Climate change, with its altered precipitation and extreme temperatures, significantly threatens global viticulture by affecting grapevine growth, yield, and fruit quality. Understanding the molecular underpinnings of grapevine resilience is crucial for developing adaptive strategies. Our aim is to explore the application of multi-omics approaches (integrating genomics, transcriptomics, proteomics, metabolomics, and epigenetics) to investigate grapevine stress responses. Advances in these omics technologies have been pivotal in identifying key stress-response genes, metabolic pathways, and regulatory networks, particularly those contributing to grapevine tolerance to water deficiency, (such as drought and decreased precipitation), extreme temperatures, UV radiation, and salinity. Furthermore, the rich genetic reservoir within grapevines serves as a vital resource for enhancing stress tolerance. While adaptive strategies such as rootstock selection and precision irrigation are important, future research must prioritize integrated multi-omics studies, including those on regional climate adaptation and long-term breeding programs. Such efforts are essential to exploit genetic diversity and ensure the sustainability of viticulture in the evolving climate. In summary, this review demonstrates how utilizing the inherent genetic variability of grapevines and employing multi-omics approaches are critical for understanding and enhancing their resilience to the challenges posed by climate change.

1. Introduction

Grapevine (Vitis vinifera L.) has been cultivated for thousands of years, playing a crucial role in agriculture and the production of wine, one of the world’s most cherished beverages. However, the increasing unpredictability of climate change poses significant challenges to viticulture, necessitating a deeper understanding of the factors that contribute to grapevine resilience.
Climate change has introduced a range of stress conditions that can adversely affect grapevine growth, yield, and fruit quality. These stressors include severe weather events such as water deficiency and heatwaves. The impact of these changes is multifaceted, influencing not only the physiological processes of grapevines but also the timing of key phenological stages such as budbreak, flowering, and harvest. As a result, there is a growing need to explore both genetic and environmental factors that can enhance the resilience of grapevines to these stress conditions [1]. To achieve this, a comprehensive understanding of both genetic and environmental factors is required. This involves combining traditional breeding methods with modern genomic tools that can enhance the development of grapevines that are more resilient to stress conditions along with the implementation of adaptive management practices helping the wine industry against the challenges posed by a changing climate.
Modern grapevine breeding approaches leverage a combination of traditional techniques and cutting-edge technologies to enhance stress resilience and fruit quality [2]. In vitro culture techniques, for instance, allow for the assessment of ripening responses of different genotypes to environmental factors such as light and temperature, facilitating the selection of resilient grapevines. The advent of genome editing techniques such as CRISPR/Cas9 represents a paradigm shift in grapevine breeding [3]. These techniques offer precise modifications to grapevine genomes, enabling targeted improvements in stress resilience and fruit quality. Nevertheless, the practical implementation of CRISPR in perennial crops like grapevine is complex, as long generation cycles and regulatory hurdles slow down the adoption of these technologies in breeding programs [3]. Genomic-assisted breeding, on the other hand, integrates diverse omics datasets to identify genes underlying complex traits, optimizing the selection of parent lines and enhancing breeding efficiency [4]. The knowledge gained from omics studies has practical applications in grapevine breeding programs. For instance, polyploidization, combined with omics approaches, has been explored as a method to enhance genetic diversity and improve traits related to stress tolerance [5,6]. Omics refers to the large-scale study of biological molecules, encompassing fields such as genomics (the analysis of entire genomes), transcriptomics (the study of RNA transcripts), proteomics (the examination of proteins), and metabolomics (the analysis of metabolites). Such comprehensive approaches further our understanding of gene expression changes under combined abiotic stress [7,8,9]. Their integration provides a robust framework for elucidating complex gene regulatory networks and offers molecular targets for enhancing stress resilience in grapevine breeding programs, an effort that is increasingly crucial in the context of climate change. The ongoing development of omics technologies holds potential to enhance viticulture practices and support more sustainable vine and wine production, though long-term validation in practical settings remains essential.
A growing body of evidence highlights, for example, the central role of transcriptomics gene regulation in orchestrating grapevine and other fruit crop responses to abiotic stresses such as drought, salinity, and extreme temperatures. In grapevine, Transcription Factor (TF) families including MYB and WRKY have been shown to regulate stress-induced metabolic and signaling pathways. For example, VhMYB2 positively regulates salt tolerance mechanisms by modulating antioxidant enzyme activity and ion homeostasis [10], while VhWRKY44 enhances drought tolerance through activation of stress-responsive genes [11]. Similarly, VhMYB15 has been linked to improved cold and salt tolerance by influencing proline accumulation and Reactive Oxygen Species (ROS) detoxification [12]. Beyond grapevine, other fruit crops offer important parallels. For instance, in Malus baccata, MbMYBC1 enhances tolerance to both drought and salinity via regulation of abscisic acid (ABA)-dependent signaling pathways [13]. In Fragaria vesca, genes FvMYB44 and FvMYB114 have been reported to enhance drought and salt tolerance through transcriptional activation of stress-defense genes [14,15]. These studies underscore the conservation of transcriptional regulatory mechanisms across fruit crops, including grapevine.
This review provides an overview of the genetic and environmental factors influencing grapevine resilience (Figure 1). In the first and second sections, we address the genetic diversity and evolutionary history of grapevines as key elements shaping their genetic architecture, with direct implications for stress resilience. Then, we explore the impact of abiotic stressors connected with climate change, such as water deficiency and extreme temperatures, on grapevine resilience. Afterwards, our focus shifts to omics technologies, including genomics and proteomics, which offer insights into the genetic mechanisms underlying stress tolerance. Finally, we delve into epigenetic regulation, emphasizing the role of epigenetics in the face of climate change. We conclude our review by highlighting recent research insights and their implications for viticulture.

2. Grapevine Evolution, Domestication, and Diversity

2.1. Responses to Climate and Environmental Changes Across the Millennia

While direct instrumental climate data for millennia are not available, paleobotanical and archaeological evidence serves as crucial proxy data, demonstrating the long-term interaction between environmental shifts and grapevine development. Early domestication of V. vinifera began in Western Asia and the Caucasus [16]. Grapevine cultivation later spread from the Near East to the Mediterranean Basin and beyond, becoming essential to various cultures and economies [17]. Today, V. vinifera remains the primary species used in the global wine and table grape production, covering 7.2 million hectares and yielding over 74 million tons of grapevines in 2023 (https://www.oiv.int/ (accessed on 6 August 2025)). Its adaptability to different climates and soil types allows it to flourish in diverse regions from sun-drenched Mediterranean vineyards to the cooler climates of Northern Europe and North America.
Guzmán-Ardiles et al. [18] emphasized the grapevine’s rich evolutionary history shaped by natural processes and human intervention in response to shifting climates and environmental pressures. Fossil records reveal that wild grapevines existed in the Northern Hemisphere during the Neogene and Paleogene periods (approximately 2.58 to 66 million years ago) [18]. Although the precise origins of grapevine domestication remain unclear, evidence indicates that it began around 9000 BC in regions such as the South Caucasus (modern-day Georgia and Armenia) and parts of Western Asia [19]. This period, following the end of the Wurmian glaciation, was marked by significant temperature fluctuations [20]. The melting of large ice caps led to massive freshwater influxes into the Atlantic Ocean, which is believed to have disrupted oceanic currents like the Gulf Stream, causing a temporary “rebound” in glaciation and colder, rainier conditions in regions such as the Black Sea coast, Anatolia, and Iran. These fluctuating environmental conditions influenced both human migration patterns and the opportunities for grapevine to differentiate and eventually be domesticated in separate geographic areas.
Archaeological findings, including ancient DNA analysis of Neolithic grape seeds, points to multiple domestication events and gene flow between wild and cultivated populations, complicating the linear “origin story” often presented [21,22]. Environmental factors, like varying temperatures, rainfall patterns, and soils, played a crucial role, as grapevines must have adapted when spreading across Europe and Asia. This adaptation was evolving through both natural selection and human-driven breeding [23,24]. For instance, the Areni-1 winery in Armenia (circa 4000 BC) [25] and findings from Georgia’s Gadachrili Gora region (dating back to 6000 BC) [26] underscore the long-standing link between grapevine cultivation and climate adaptation.
During the medieval period, European monastic networks were instrumental in preserving and diversifying grape varieties. Recent whole-genome sequencing studies indicate that these networks created genetic “hotspots,” enhancing resilience to environmental changes long before modern breeding techniques emerged [27]. These selection practices ultimately gave rise to grapevines suited for wine, table consumption, and raisin production. The environmental impact on grapevine evolution became particularly evident during the 19th century, when the introduction of North American grapevine species to Europe inadvertently brought pests like Phylloxera, devastating European vineyards [28]. In response to this ecological crisis, hybrid grapevines arose, combining V. vinifera with American species like V. labrusca or V. riparia to enhance pest tolerance [29,30]. Though initially controversial due to their distinct “foxy” flavors, these hybrids demonstrated remarkable adaptability to harsher climates and reduced the need for chemical treatments.
Today, renewed interest in hybrid grapevines like ‘Baco Noir’, ‘Seyval Blanc’, and ‘Clinton’ reflects a growing commitment to sustainable viticulture, supported by modern genetic tools like CRISPR that help reintroduce pest tolerance while preserving traditional wine profiles [31,32]. Future research is needed to determine if hybrid grapevines might outperform classic varieties in regions facing water deficiency and extreme temperatures [18,33].
Overall, exploring the domestication and evolution of grapevines is essential for enhancing their stress resilience in modern agriculture (Figure 2). By studying how these plants adapted over millennia, researchers and farmers can develop varieties that withstand challenges driven by the shifts in climate.

2.2. Genetic Diversity of Grapevines—A Reservoir for Stress Tolerance

The Vitis genus comprises both wild and cultivated grapevine species, with over 60 wild species distributed across North America (e.g., V. riparia, V. rupestris, V. berlandieri, V. aestivalis, V. labrusca), Asia (e.g., V. amurensis, V. davidii, V. piasezkii), and Europe (V. sylvestris), and several hundred wild cultivars in the Caucasus region [34,35]. Additional data from other regions of the post-Soviet space (particularly the North Caucasus, Crimea, southern Russia, and the Russian Far East) further enriches our understanding of Eurasian grapevine diversity. In Crimea, southern Russia, and Ukraine, studies have characterized regional cultivars such as ‘Kokur Belyi’ and ‘Krasnostop Zolotovskiy’ using Single-Nucleotide Polymorphism (SNP) profiling, confirming their distinctiveness and their value as local genetic resources [36]. Furthermore, wild grapevines (V. vinifera subsp. sylvestris) sampled from nature reserves such as the Utrish and Sudak regions of Crimea revealed significant genetic isolation from cultivated varieties, suggesting relic populations of wild origin [37].
The wild species harbor a wealth of genetic diversity, which has played a crucial role in the domestication and evolution of modern grapevines [17,21]. Many wild species demonstrate resilience to abiotic stresses, such as water deficiency, cold, and high soil pH, making them invaluable as rootstocks in vineyards and enhancing sustainability by conferring stress tolerance [38].
Domestication of grapevines is a complex process shaped by both natural and human-driven selection. Early domestication likely involved the selection of wild V. sylvestris plants that exhibited favorable traits such as larger berries, higher sugar content, and robust growth under cultivation. Over time, continued hybridization between cultivated V. vinifera and local wild species led to genetic exchange, enhancing diversity and adaptability [23]. For example, North American species like V. riparia contributed tolerance to phylloxera, a devastating pest, through hybridization events, which subsequently shaped breeding programs and vineyard management practices [39]. Additionally, the primary reservoirs of grapevine diversity are located in the Caucasus and the Middle East, where the presence of wild relatives and long-standing traditional cultivation under diverse environmental conditions has maintained a broad and valuable genetic base.
Whole-genome sequencing and genetic marker studies shed light on this intricate domestication history. Research involving 472 Vitis accessions revealed that cultivated grapevines retained signatures of gene flow from wild relatives, suggesting that hybridization played a continuous role throughout the domestication process [21]. This genetic exchange not only contributed to phenotypic diversity but also enhanced resilience by incorporating alleles associated with stress tolerance.
Despite these advancements, key knowledge gaps remain [40]. While genomic studies have illuminated broad patterns of diversity and domestication, they often overlook region-specific adaptations and the contributions of lesser-known wild species. Additionally, the focus has largely been on cultivated grapevines, leaving the full potential of wild Vitis species underexplored. Further investigation into the adaptive mechanisms of wild grapevines could uncover new genetic resources for breeding climate-resilient grapevines.
Understanding the domestication and dissemination history of grapevines offers crucial insights for modern breeding. It highlights the importance of preserving genetic diversity and leveraging wild species in breeding programs to enhance stress resilience and fruit quality. Future research should prioritize integrating diverse Vitis species into genomic studies, involving phylogenetic studies, to identify underutilized genetic resources, refine breeding strategies, and develop grapevines better suited to the challenges posed by climate change.

2.3. Diversity Linked with Domestication Journey

The domestication journey of the grapevine has intricately shaped its genetic diversity. While the initial phase of domestication from its wild progenitor, Vitis vinifera subsp. sylvestris, likely involved a reduction in genetic diversity due to a population bottleneck [35,41], cultivated grapevines today can exhibit surprisingly higher, and in some aspects comparable or even richer, diversity than their wild relatives. This phenomenon is largely attributed to subsequent millennia of human-driven evolutionary processes. Continuous and strong human selection for a multitude of desirable traits (such as berry size, color, sugar content, flavor profiles, and harvest time) has actively maintained and promoted genetic variants underpinning this phenotypic variation [42]. Consequently, these cumulative processes have generated the extensive catalogue of cultivated grapevine varieties seen today, each with a unique genetic makeup and often a complex mosaic of ancestries, contributing to a broad spectrum of diversity for important traits.
Domesticated grapevines typically exhibit highly heterozygous genomes, complicating genome assembly and analyses [43]. For example, the genome of ‘Chardonnay’ revealed that around 15% of its genes are hemizygous, containing many repetitive elements. To address this complexity, the highly homozygous PN40024 genotype, derived from the self-pollination of ‘Helfensteiner’, was selected for genome sequencing [44]. In terms of chromosomal configuration, wild and domesticated Vitis species generally have a diploid chromosome number of 2n = 38, representing 19 chromosome pairs in the subgenus Euvitis. Yet, species in the subgenus Muscadinia, such as V. rotundifolia and V. munsoniana, possess a chromosome number of 2n = 40 [40]. Muscadinia grapevines, which are native to North America, exhibit tolerance to pathogens and unique traits like late flowering and larger fruit sets. Despite these advantages, studies have shown that domesticated Muscadinia grapevines have experienced a reduction in genetic diversity, differentiating them from their wild relatives [40].
Recent advances in sequencing technology have enabled the assembly of genomes for multiple grapevines, like ‘Black Corinth’, ‘Cabernet Franc’, ‘Cabernet Sauvignon’, ‘Carménère’, ‘Chardonnay’, ‘Merlot’, and ‘Nebbiolo’ [45]. Nevertheless, many of these genome assemblies are incomplete, particularly in repetitive regions, highlighting the need for additional reference genomes better representing the genetic diversity of grapevines.
Structural variations and other genetic differences are associated with important traits in grapevines. For instance, the genome of V. vinifera cv. ‘Shiraz’ revealed a unique combination of VviTPS24 variants linked to rotundone production and aromatic characteristics [46]. Moreover, V. adenoclada, a wild grapevine species with tolerance to heat and water deficiency, was studied through a multi-omics approach to identify beneficial genes for future breeding programs [47]. These findings emphasize the importance of utilizing the genetic diversity of wild and cultivated grapevines to enhance stress tolerance and adaptability.

2.4. Novel Perspectives: Caucasian Grapevines—Diverse but (Still) Understudied

In Central Europe and the western Balkan Peninsula, studies comparing wild grapevine populations (V. vinifera subsp. sylvestris) to cultivated grapevines (V. vinifera subsp. vinifera) found lower genetic diversity in wild grapevines. Interestingly, gene flow analyses indicated interactions between wild and cultivated grapevines, with cultivated grapevines from Central Europe showing greater genetic affinity to wild grapevines than those from the Balkan region [48]. This region emerged as a genetic hotspot, where wild and cultivated grapevines influence each other’s genetic diversity.
Different regions have cultivated unique grapevines, reflecting local adaptation and diversity. In Italy, studies of traditionally cultivated intra-varietal grapevines have revealed somatic variation within a single variety, as well as significant genetic divergence among grapevines from different habitats or with distinct origins [39]. The study identified divergent SNP loci linked to traits critical for grapevine phenology and environmental adaptation.
The importance of wild grapevines in breeding programs cannot be overstated. In the United States, muscadine grapevines serve as a valuable genetic resource, while in Europe, the conservation of wild grapevine populations faces significant challenges due to habitat loss and genetic erosion. Ongoing genetic diversity studies in the Caucasus and Central Asia regions have further identified these areas as crucial reservoirs of genetic variation, contributing to the shaping of modern grapevines [17].
A region of traditional wine making, the Caucasus is incredibly rich in diverse, but still understudied, grapevine accessions. Georgia, nestled in the heart of the Caucasus region, is known as one of the world’s oldest wine-producing countries, with a rich history of viticulture that dates back to 9000 BC [49]. Complementary archaeological investigations in Georgia documented a long history of viticulture through multidisciplinary approaches (including archaeological excavations, radiocarbon dating, and morphometric analyses of ancient grape seeds) which collectively illuminate the early phases of grapevine domestication in the region [49]. Furthermore, geometric morphometric analyses combined with ancient DNA extraction from grape pips traced the emergence of domesticated morphotypes to around 1000 BC, thereby linking modern grapevine diversity with its ancient progenitors [50].
Beyond the historical significance, the extensive genetic diversity of grapevines in Georgia is well documented. A comparative study of wild versus domesticated grapevine traits revealed that V. vinifera subsp. sylvestris exhibits faster fermentation rates despite higher phenolic contents, indicating untapped potential for improving wine quality and aging characteristics in modern winemaking practices [51]. A comprehensive review of Georgian grapevines demonstrated that these traces possess distinctive phenological and stress-tolerance features that may prove critical for adapting viticulture to future climate challenges [52]. In parallel, high-throughput SNP array analyses of Georgian genetic resources confirmed that the genetic variability within these grapevines is not only high but also distinct from that observed in European grapevines, supporting their potential for future breeding programs [53]. The convergence of data from ancient seed morphometrics, molecular genetics, and modern phenotyping reinforces the hypothesis that traditional grapevine cultivation practices in Georgia contributed significantly to the selection and propagation of desirable traits.
Recent studies revealed that Armenian wild grapevines represent an invaluable reservoir of Caucasian genetic diversity with significant potential for disease tolerance and crop improvement. Margaryan et al. [34] revealed how DNA-based marker analyses of wild V. sylvestris populations from various Armenian regions uncovered high allelic diversity and the presence of tolerance alleles against powdery mildew. Similarly, Dallakyan et al. [54] reinforce these findings by demonstrating extensive genetic variation among wild grapevine populations in the Caucasus and Near East, which underscores the evolutionary importance of these gene pools. In addition, the work of Margaryan et al. [55] on molecular fingerprinting and phylogenetic relationships among wild and cultivated grapevines in Armenia provides compelling evidence for gene flow between these groups, suggesting that indigenous grapevines may have partly inherited beneficial traits from their wild counterparts. First studies of the whole genome diversity of Armenian grapevine and of its relation to European and worldwide accessions using machine learning (using Self-Organizing Maps) are available [56,57,58].
Wild and early-domesticated grapevines are key sources of beneficial traits, including broad climate adaptability and tolerance to pests and diseases. Wild species in various regions show strong tolerance to environmental stress and pathogens. These traits are valuable for modern viticulture, especially in the face of climate change.

3. Environmental Factors Causing Abiotic Stress in Grapevine

Climate change introduces a range of abiotic stressors that can adversely affect grapevine growth, yield, and fruit quality. These weather changes reshape vineyard regions worldwide. For instance, Southern European regions, such as southern France and Spain, are experiencing increased heat stress and desertification, challenging grapevine quality and yields [59,60]. Meanwhile, cooler northern regions, including southern Sweden and parts of the UK, are becoming more suitable for viticulture, benefiting from longer growing seasons. Similar trends are seen in North America, where warming allows vineyards to expand further north into Canada while threatening established wine regions like California with heatwaves and wildfires [61]. As a result, one of the primary effects of climate change on grapevines is the compression of phenological stages, leading to earlier budbreak, flowering, and harvest dates [62]. This mismatch between the grapevine’s developmental stages and the optimal environmental conditions can reduce both yield and quality.

3.1. Heat and Drought

Extreme heat can negatively affect grapevine quality by accelerating sugar accumulation, disrupting acidity balance, and altering phenolic development [63]. Excessive water loss caused by increased evapotranspiration contributes to a reduction in grapevine vigor and alters berry composition. Water stress can lead to the accumulation of stress-related plant hormones such as ABA, which is critical for mediating water deficiency responses by inducing stomatal closure and activating drought-responsive genes [64]. In parallel, plant hormone ethylene plays a dual role by mediating heat stress responses (affecting berry ripening, cell wall modifications, and antioxidant systems) and modulating fruit ripening processes [65]. Additionally, while jasmonic acid is primarily recognized for its role in biotic stress responses, it is also involved in abiotic stress responses, often through complex hormonal crosstalk with abscisic acid, ethylene, and salicylic acid, though its function in abiotic stress can be context-dependent [66]. Heat stress also reduces photosynthesis efficiency and increases respiration, resulting in significant yield losses [67,68]. In grapevines, despite heat reducing malic acid content during maturation reducing berry quality, it increases sugar accumulation and flavonoid levels [63,69]. Additionally, the aroma and color of grape berries are decreased by lipids replaced by starch in leaf chloroplasts and other heat-induced changes, involving osmolyte production and secondary messengers like calcium ions, MAP kinases, and ROS [64,70,71]. Declining precipitation and prolonged water deficiency periods exacerbate water scarcity, particularly in Mediterranean wine regions. Water deficiency reduces berry size, affecting yield and altering tannin and anthocyanin concentrations, which are critical for wine quality. Research also suggests that grapevines under such water-deficit stress exhibit modifications in secondary metabolism, with increased flavonoid accumulation as a defense mechanism [72].

3.2. Cold and Freezing

Low temperature can be stratified into chilling (0 to 15 °C) and freezing (below 0 °C). Chilling stress disrupts photosynthesis, arrests enzymatic activities, and alters membrane lipids [70]. Freezing stress leads to ice crystal formation in the apoplast, causing osmotic stress and disrupting lipid polymorphism, which can damage cell membranes and lead to cell death. Plants deploy specific mechanisms, including the ICE1-CBF-COR transcriptional cascade (Inducer of CBF Expression 1–C-repeat Binding Factor–Cold-Responsive genes) and calcium signaling, to counteract cold stress [73,74]. Notably, grapevine species such as V. amurensis and V. riparia, which exhibit natural cold tolerance, serve as vital genetic resources for breeding programs aimed at improving cold tolerance [75,76]. Integrating omics approaches with breeding strategies is crucial for developing climate-smart grapevines capable of maintaining productivity and quality under temperature extremes [72,77]. Additionally, spring frosts, which occur after budbreak due to warmer winters, can damage tender tissues, necessitating adaptive measures such as late-budding grapevines bred from cold-hardy Vitis species [78,79,80].

3.3. UV Radiation and Soil Salinity

Beyond temperature extremes, high UV-B radiation induces oxidative stress by generating ROS, impairing photosynthesis and DNA integrity [81]. In response, grapevines synthesize UV-absorbing flavonoids and anthocyanins, thereby enhancing both UV shielding and antioxidant defenses. Similarly, soil salinity, intensified by irrigation with brackish water, disrupts ion homeostasis, causing osmotic stress [82]. To mitigate these effects, tolerance strategies include abscisic acid-mediated stomatal regulation and the use of rootstocks such as V. berlandieri × V. rupestris hybrids, improving salt tolerance and root vigor [83].
We summarized the impact of the various environmental stressors on grapevines, detailing affected regions, severity, morphological and biochemical changes, molecular mechanisms, and key genes involved in stress responses (Table 1).

4. Omics Strategies for Abiotic Stress Resilience

4.1. Genetic Insights into Grapevine Stress Tolerance

While contemporary V. vinifera cultivars exhibit relatively limited genetic diversity due to centuries of selective breeding, substantial variability persists in wild Vitis species and traditional landraces. This genetic richness underlies a broad range of adaptive traits that contribute to resilience against environmental stresses. Understanding the genetic basis of such traits is essential for developing improved grapevines with enhanced stress tolerance. The effort to unravel these genetic mechanisms began with traditional breeding approaches, which relied on phenotypic selection for characteristics such as drought tolerance and disease tolerance.
Dai et al. [104] developed a two-step in vitro culture system that combines fruiting-cuttings with organ in vitro culture, enabling long-term cultivation of grape berries through the full ripening process. While this system offers valuable insights into environmental influences on berry development and composition, its broader application to breeding programs requires further optimization to more accurately replicate vineyard conditions. Additionally, the in vitro culture system is used for intact detached grape berries, which actively absorb and utilize nutrients from the culture medium, exhibiting ripening features such as color change and softening. Yet, the extent to which these findings translate to field conditions remains a challenge [2].
Nevertheless, the existence of a broad reservoir of genetic diversity in wild and traditional grapevine populations contrasts with the limited diversity observed in the small number of cultivars dominating modern viticulture. The limited genetic diversity of V. vinifera cultivars and the slow pace of conventional breeding spurred the adoption of molecular tools in the late 20th century. Early efforts focused on genetic mapping of qualitative traits (e.g., disease tolerance loci like Run1 and Rpv1), but these approaches struggled to dissect complex polygenic traits such as abiotic stress tolerance [105,106]. The completion of the first grapevine reference genome (PN40024) in 2007 marked a turning point, enabling genome-wide studies of stress adaptation [107]. This milestone catalyzed the shift from candidate gene approaches to systems-level omics strategies, including transcriptomics, proteomics, metabolomics. and recently, the application of machine learning in omics data analysis [108]. For instance, early transcriptomic studies in the 2010s revealed broad stress-responsive pathways, such as the abscisic acid signaling pathway and system of scavenging ROS [109,110].

4.2. Genome-Wide Association Studies and Beyond

The advent of next-generation sequencing and pangenomics helped to reduce this gap by capturing structural variations across wild and cultivated grapevine species [111,112]. Hereby, Genome-Wide Association Studies (GWASs) have revolutionized genetic research by enabling the identification of loci associated with complex traits across species. By analyzing genetic markers and their correlations with phenotypic traits, a GWAS facilitates the understanding of genetic architectures, particularly for quantitative traits influenced by multiple genes and environmental factors.
In V. vinifera, a GWAS dissects traits like berry quality, disease tolerance, and abiotic stress tolerance. Flutre et al. [113] identified multiple quantitative trait loci for various phenotypic traits, offering insights into their genetic underpinnings. The study highlights GWASs as a robust tool for elucidating grapevine genetic diversity and domestication patterns. GWASs also uncovered genes associated with stress resilience in grapevines. For example, strigolactone biosynthetic pathway genes were identified as critical for salt and water deficiency tolerance [114]. Similarly, autophagy-related genes were linked to tolerance against copper stress, a significant factor in vineyards due to fungicide use [115].
Beyond grapevines, GWASs identified stress-responsive genes in crops like rice and wheat with possible impacts for other plants including grapevine. In rice, OsWRKY53 regulates salt tolerance [116], while in wheat, GWAS uncovered genomic regions contributing to water deficiency tolerance [117]. A recent comprehensive review of association mapping in grapevine further emphasizes the GWAS’s value in dissecting agronomic traits such as fruit quality, yield, and stress tolerance, while also discussing its future prospects in viticulture research [118]. These studies demonstrate the GWAS’s broad applicability in improving crop resilience. Grapevines pose unique challenges for GWASs due to their high heterozygosity and complex linkage disequilibrium. Still, advancements like the development of a grapevine pangenome enhance GWAS accuracy by accounting for structural variations and rare alleles [111].
Integrating GWASs with transcriptomic, physiological, and biochemical resources can provide more comprehensive insights into stress responses [119]. For example, Marrano et al. [120] conducted single-nucleotide polymorphism analysis comparing wild and cultivated grapevines and identified numerous “signatures of selection” linked to stress response and hormone signaling pathways, thereby highlighting the genetic basis for differential adaptation to environment. Additionally, Coupel-Ledru and her team identified six heat tolerance loci, named BLAZE, each containing single-nucleotide polymorphisms that explained up to 22% of genotypic variation in leaf firing magnitude, with BLAZE5.1 being significant across all traits [121]. Complementing these findings, the first high-quality draft sequence of the grapevine genome demonstrated that the grapevine genome is a composite of three ancestral genomes resulting from ancient hexaploidization events in angiosperms, and that no recent genome duplication has occurred [107]. Nowadays, the GWAS uses high-density SNP arrays and pangenomes to identify loci governing quantitative traits. For example, a GWAS identified β-amylase genes linked to cold tolerance [122].
The application of gene-editing technologies such as Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated protein 9 (Cas9) (reviewed in [8]) could play a crucial role in enhancing the stress resilience of grapevine. These genomic tools hold promise for the creation of grapevines with improved resilience, fruit quality, and adaptive capacity under changing climatic conditions. Recent advancements in genomics have provided valuable insights into the genetic basis of stress tolerance, and the integration of these tools with traditional breeding techniques holds great promise for the future of grapevine research. This includes the use of CRISPR/Cas9 gene-editing technology precisely modifying key genes associated with grapevine resilience to stress [123]. This method utilizes the CRISPR-associated protein along with guide RNA to target specific genomic sequences, allowing for targeted gene disruption or insertion.

4.3. Genomic and Transcriptomic Studies

Genomics approaches, including reference genomes and genetic mapping, provide insights into the structure, function, and evolution of grapevine genomes, enabling the identification of genes associated with stress tolerance.
Marker-assisted selection and genomic selection are widely recognized as effective approaches for accelerating the development of stress-tolerant grapevines. Marker-assisted selection uses molecular markers linked to quantitative trait loci associated with desirable phenotypes (such as water-deficit and heat tolerance or disease tolerance) to facilitate early selection in breeding programs [124,125]. By contrast, genomic selection uses genome-wide, high-density markers to predict the genetic potential of individuals through statistical models trained on phenotypic and genotypic information from a reference population [126]. Genomic studies identified key transcription factors that regulate the expression of defense-related genes. For instance, the MYB, WRKY, NAC, and bHLH families of transcription factors are upregulated in response to abiotic stress, highlighting their role in the activation of stress-responsive pathways [127,128]. While marker-assisted selection has accelerated breeding efforts by identifying genetic variations linked to stress tolerance [129], genomic selection offers a more holistic approach, particularly for complex traits influenced by many small-effect alleles. This method expedites the identification of climate-resilient grapevines by considering the cumulative effect of numerous small-effect loci. Yet, the application of genomic selection in grapevine breeding is still in its early stages and faces challenges due to the crop’s heterozygous genome and long generation times [130].
Transcriptomics, which examines the abundance and activity of transcripts in specific tissues or cells, is widely applied to identify genes involved in stress responses, such as high temperature [131]. Studies of transcriptomes provide a window into how transcript levels change under different stress conditions and over time. Tools such as RNA sequencing, microarrays, and expressed sequence tags are instrumental in understanding the stress-induced gene expression. Different grapevines exhibit varying levels of tolerance to stressors such as water deficiency, extreme temperatures, and diseases. For instance, some grapevine genotypes possess traits that enhance their ability to cope with water scarcity and different temperatures [71,132]. These traits include deeper root systems, efficient water use, and the ability to maintain cellular functions under stress [86]. High-throughput Illumina RNA sequencing (RNA-seq) has been widely used to profile transcriptomes in grapevine leaves [133]. High-throughput sequencing technologies enable researchers to identify specific genes associated with stress tolerance. For example, genes involved in the synthesis of protective compounds, such as antioxidants and osmoprotectants, are upregulated in response to stress [134].
In an integrative transcriptomic analysis [71], researchers uncovered a core set of stress-responsive genes, novel transcription factors, and regulatory elements that orchestrate the grapevine’s complex defense mechanisms governing stress tolerance by an intricate regulatory network involving coordinated changes in primary and secondary metabolism as well as hormone signaling pathways. Notably, the study identified key transcription factor families (such as WRKY, MYB, and NAC) as central hubs within these regulatory networks. Some of these transcription factors facilitate the rapid reprogramming of the transcriptome in response to environmental challenges, ensuring the timely activation of downstream protective responses. This discovery not only confirms the importance of previously known stress pathways but also reveals novel candidate genes that may serve as useful markers or targets in breeding programs aimed at enhancing grapevine resilience. Furthermore, these protective compounds play a vital role in mitigating the damaging effects of stress on grapevine cells.
Moreover, transcriptomic analyses reveal that grapevines activate a complex network of stress-responsive genes when exposed to adverse conditions. These genes are involved in various physiological processes, including photosynthesis, water transport, and cellular homeostasis [64]. Understanding the regulatory mechanisms that control the expression of these genes can provide valuable insights into the genetic basis of stress tolerance. For instance, ‘Montepulciano’ possesses traits that enable it to maintain high water use efficiency under water-deficient conditions [132,135]. Similarly, other grapevines, like ‘Cabernet Sauvignon’, ‘Chardonnay’, ‘Riesling’, and ‘Tocai Friulano’ exhibit little or no tolerance to very low temperatures [71,136]. Guo et al. [137] employed RNA-seq to quantify differential gene expression in ‘Kyoho’ grapevine leaves under heat stress, successfully identifying key transcription factors involved in photosynthesis regulation and abscisic acid signaling. Similarly, Tan et al. [138] integrated RNA-seq with gene co-expression network analysis using Weighted Gene Co-expression Network Analysis to dissect the regulatory networks activated in grapevine leaves during simultaneous water deficiency and heat stress conditions, thereby providing deeper insights into the plant’s adaptive mechanisms.
In addition to short-read sequencing, long-read transcriptome profiling techniques, such as PacBio Iso-Seq and Oxford Nanopore sequencing, have further enriched our understanding by capturing full-length transcripts and revealing complex alternative splicing events. For instance, Wang et al. [139] utilized both RNA-seq and full-length transcript sequencing to establish a genetic foundation for cold tolerance in grapevines. Their analysis not only pinpointed candidate genes and pathways involved in cold adaptation but also suggested that these genetic elements could serve as promising targets in breeding programs aimed at developing grapevines with improved stress tolerance. Jiang et al. [140] used high-depth RNA-seq along with splicing-aware algorithms to show that alternative splicing significantly enhances transcriptome and proteome diversity under heat stress, thereby contributing to improved adaptability. These alternative splicing events lead to the production of multiple protein isoforms from a single gene, which can be critical for stress adaptation.

4.4. Proteomics and Metabolomics

Proteomics has significantly advanced our understanding of grapevine physiology, particularly in response to environmental stresses. Early proteomic analyses, such as the study by Sarry et al. [141], identified 67 major proteins in ripe grape berries, providing insights into sugar and organic acid metabolism. Subsequent research expanded this knowledge. For instance, Giribaldi and Giuffrida [142] reviewed various proteomic approaches (from two-dimensional gel electrophoresis to more advanced methods like Isobaric Tag for Relative and Absolute Quantitation or Tandem Mass Tags) that enhance the identification and quantification of stress-responsive proteins in different grapevine tissues (berries, leaves, stems, roots, shoots, and cell cultures) under abiotic stresses. The application of proteomics helps in understanding grapevine responses to environmental challenges, including water deficiency and salinity stress [143]. Proteomic changes are often coupled with significant shifts in the metabolome, providing a more complete picture of the plant’s response.
Proteomics studies on grapevines under temperature stress identified key proteins involved in stress tolerance, such as heat shock proteins and cold-regulated proteins, which protect cells from temperature extremes [144]. Quantitative proteomics approaches, including isobaric tags for relative and absolute quantitation and label-free quantification techniques, reveal important proteins involved in temperature stress pathways. Proteins like dehydrins and Late Embryogenesis Abundant proteins are known to play significant roles in cold tolerance [145]. Comparative proteomics shows differential expression of proteins linked to cold adaptation [146]. Nonetheless, many stress-responsive proteins remain insufficiently annotated, limiting our understanding of their precise roles. Further research and validation of these proteins could enhance grapevine breeding for improved stress resilience [147].
Metabolomics approaches, including gas chromatography–mass spectrometry, liquid chromatography–mass spectrometry, and nuclear magnetic resonance spectroscopy, have been instrumental in profiling stress-induced metabolic changes [148]. These stress conditions significantly influence the metabolic profile of grapevines, revealing adaptive and stress-mitigation mechanisms. Temperature stress alters primary and secondary metabolites in grapevines. Under heat stress, specific sugars (e.g., glucose and fructose) and sugar alcohols (such as sorbitol) accumulate, likely aiding in osmotic regulation and protecting against cellular damage [149]. Moreover, heat stress induces changes in amino acid profiles, such as increased proline levels, which act as osmoprotectants and ROS scavengers [150]. Cold stress triggers an increase in metabolites associated with energy metabolism, such as organic acids (malate and citrate), as well as compounds involved in oxidative stress defense, including ascorbate and glutathione [151]. Secondary metabolites like flavonoids, anthocyanins, and stilbenes are also upregulated, contributing to antioxidant defense mechanisms and stabilizing cellular structures under low temperatures [152]. Water-deficit stress significantly affects the grapevine metabolome, with increased accumulation of polyphenols, including tannins and flavonoids, which enhance ROS scavenging and protect cells from oxidative damage. Osmolytes such as betaine and trehalose also accumulate, aiding in water retention and cell stability [153].

4.5. Integrative Omics and Meta-Analyses

Integrating transcriptomics with other omics approaches, as discussed by Xu et al. [133], has provided a comprehensive “omics” perspective on the plant’s response to environmental challenges. This multi-omics integration, often coupled with gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses, enables researchers to correlate transcriptional changes with shifts in metabolic pathways and protein function. Complementary techniques such as quantitative real-time PCR validate the expression levels of key candidate genes identified through high-throughput transcriptomic studies, thereby reinforcing the reliability of these findings.
Integration of metabolomics with transcriptomics and proteomics has provided deeper insights into the regulatory networks governing grapevine stress responses, offering potential targets for breeding stress-resilient grapevines [143]. For instance, Dal Santo et al. [154] demonstrated a coordinated interplay between primary metabolism and stress-responsive gene networks, like sugar metabolism, antioxidant defenses, and hormonal signaling pathways using omics analyses, further emphasizing the potential for targeted interventions to boost resilience. Moreover, emerging genomic resources, including high-quality reference genomes for grapevine, have enabled researchers to integrate multi-omics data to dissect stress-response pathways at an unprecedented resolution [45]. Savoi et al. [6] integrated transcriptomic and metabolomic resources of grapevine to study fruit metabolites. Their comprehensive work emphasizes the importance of combining omics data to understand the complex regulatory networks influencing grape berry composition. The research provides insights into the molecular mechanisms that determine fruit quality traits, such as flavor, color, and nutritional content. The authors identified key genes and metabolic pathways that, when targeted, can help breeding programs aimed at enhancing grapevine quality. The findings underscore the value of multi-omics strategies in improving grapevine tolerance to environmental challenges. These integrative approaches not only facilitate the identification of key regulatory genes and metabolic markers associated with stress tolerance but also support the development of molecular markers for breeding programs. To date, an increasing number of studies have conducted meta-analyses of transcriptomic datasets to investigate grapevine responses to water deficit stress [155]. These analyses have enabled the construction of gene co-expression networks associated with abiotic stress, facilitating the identification of key genes and regulatory pathways involved in stress adaptation. Such resources, including comprehensive transcriptomic atlases, provide valuable insights into the molecular mechanisms underpinning grapevine resilience to water-deficient conditions.

5. Epigenetic Regulation in Grapevine

Epigenetic mechanisms play a crucial role in the regulation of gene expression in response to environmental stressors. These mechanisms are sometimes referred to as an “epigenetic alphabet” [156]. In this concept, distinct epigenetic marks form a combinatorial code that modulates gene expression, including DNA methylation, histone modifications, and chromatin remodeling. Such modulation collectively contributes to the plant’s ability to adapt to environmental stresses. In grapevines, understanding these epigenetic processes is essential for developing strategies to enhance resilience and ensure sustainable viticulture. For example, gene VvNCED1, a key contributor to abscisic acid biosynthesis, exhibits altered promoter methylation under water-deficient conditions, which affects its expression and enhances stress adaptation [138]. Additionally, under heat stress, the gene VvHsfA2, encoding a heat shock transcription factor crucial for activating protective heat shock proteins, shows altered expression correlated with histone acetylation [138]. Similarly, the transcription factor VvDREB2A, a central player in mediating water-deficit responses, is regulated through histone modifications that fine-tune its activity during stress [157]. Moreover, the WRKY transcription factor VvWRKY11 shows shifts in DNA methylation in response to water deficiency, influencing the regulation of downstream stress-responsive genes [157]. The expression of gene VaCPK20, encoding calcium-dependent protein kinase, is regulated through epigenetic modifications in response to water deficiency and cold stress [158].

5.1. Epigenetic Mechanisms in Plants

DNA methylation is one of the best-studied epigenetic modifications in plants. It involves the addition of a methyl group to the cytosine residues in DNA, which can lead to the repression of gene expression. In grapevines, DNA methylation plays a significant role in the response to both biotic and abiotic stresses [159]. For example, shifts in DNA methylation patterns in the promoter regions of defense-related genes, such as those regulating stilbene biosynthesis via transcription factors VvMYB14 and VvMYB15, occur following pathogen attack. Similarly, the expression of VvNAC17, a transcription factor involved in tolerance to water deficiency, is modulated by DNA methylation changes under water deficit [160,161,162]. The maintenance methyltransferase VvMET1 and de novo methyltransferase VvDRM2 mediate responses to water deficiency and salinity, with reversible methylation changes observed at specific genomic regions [98,100], suggesting that vineyard management practices can influence these methylation profiles, thereby affecting both stress responses and fruit quality [157].
DNA methylation in plants can also happen via interaction with RNA, called RNA-directed DNA methylation (RdDM). RdDM plays a critical role in maintaining genome stability by silencing transposable elements and regulating gene expression, particularly in response to developmental and environmental signals [163]. RdDM is initiated by small interfering RNAs. RNA polymerase IV and RNA-dependent RNA polymerase 2 produce the precursors, while ARGONAUTE proteins bind the small interfering RNAs and direct them to complementary genomic sequences. Once targeted, the methylation of cytosine residues occurs across CG, CHG, and CHH contexts, facilitated by RNA polymerase V and other associated proteins. The ability of RdDM to modify gene activity adds another level of control in plant adaptation and stress resilience.
Histone modifications, including methylation, acetylation, and phosphorylation, are another key component of the epigenetic regulation of gene expression. These modifications can alter the structure of chromatin, making it more or less accessible to the transcriptional machinery. In grapevines, histone modifications are implicated in the response to various stresses. For example, histone methylation is linked to the regulation of genes involved in abiotic stress tolerance, such as those encoding for osmoprotectants and antioxidants [164]. On the other hand, histone acetylation is associated with the activation of defense-related genes in response to pathogen attack [165]. Berger et al. [166] emphasized that histone deacetylases play an indispensable role in fine-tuning these responses. Interestingly, several grapevine genes involved in histone deacetylation, such as VvHDA6 encoding the histone deacetylase enzyme, were found to be upregulated in response to cold stress, contributing to enhanced freezing tolerance by fine-tuning the expression of cold-responsive genes [159,166]. The proper balance of acetylation and deacetylation is necessary for both activating stress-related genes and ensuring genomic stability under prolonged stress conditions. Mutations affecting these enzymes compromise stress tolerance, underscoring their potential as targets for boosting grapevine resilience.
Another mechanism epigenetically regulating gene expression is chromatin remodeling. Chromatin remodeling refers to the dynamic changes in the structure of chromatin. This process involves the repositioning or restructuring of nucleosomes, which can either facilitate or hinder the access of transcription factors to DNA. In grapevines, the SWI/SNF chromatin remodeling complex has a critical role in response to pathogens by facilitating the activation of defense-related genes through nucleosome repositioning [159,167,168].

5.2. Epigenetic Memory of Stress Responses

One of the fascinating aspects of epigenetic regulation is the concept of epigenetic memory, where plants “remember” past stress events and respond more effectively upon subsequent exposures. This “memory” enables grapevines to respond more effectively to recurrent stress events [169,170]. Detailed investigations in model plants revealed that dynamic changes in both DNA methylation and histone marks facilitate recovery after stress exposure. These reversible modifications allow for a rapid return to basal expression levels once the stress subsides, and prime the plant for future challenges. The memory can be transient or long lasting, and in some cases, it can be passed onto the next generation.
While robust evidence for stress memory and particularly transgenerational epigenetic inheritance in grapevines is still emerging [157,171,172], with much of the foundational research conducted in model plants, some studies in grapevines suggest the existence of epigenetic memory in response to biotic and abiotic stresses [172]. Plants experiencing pathogen attack can exhibit enhanced tolerance to subsequent infections, a phenomenon known as systemic acquired tolerance [161]. Similarly, grapevines exposed to water-deficit stress can develop a memory that allows them to respond more effectively to future water-deficit events [164,173].
Grapevine responses to water-deficit stress involve DNA methylation and chromatin remodeling of stress-responsive genes [160,161,173]. Such discoveries highlight the importance of studying epigenetic mechanisms of gene expression regulation in response to environmental stressors. Furthermore, it is hypothesized that epigenetic memory is not only critical for stress tolerance but may also influence terroir expression [174]. The concept posits that epigenetic marks, potentially shaped by local environmental conditions and viticulture practices, could influence the quality of wine, although this remains an active area of investigation.
Future research in epigenetic mechanisms involved in responses to environmental stress caused by climate change in grapevines should focus on the integration of multi-omics approaches ranging from genomics and proteomics to metabolomics and epigenetics with advanced CRISPR/Cas9 gene-editing technologies. This could provide valuable insights into the molecular basis of stress tolerance and support the development of stress-resistant grapevines without compromising fruit quality [175]. It will be crucial in such research to also evaluate potential pleiotropic effects, ensuring that enhancements in stress resilience do not inadvertently compromise fruit quality or other desirable traits.

6. Viticulture in a Changing Climate: Challenges and Opportunities

6.1. Environmental Challenges and Local Adaptation Strategies

Genetic diversity within grapevines is a critical component of their ability to withstand adverse conditions. Different grapevines exhibit varying levels of tolerance to stressors such as water deficiency, extreme temperatures, and diseases [1]. For instance, some genotypes possess traits that enable them to maintain cellular functions and water use efficiency under stress [132], while others may have deeper root systems that allow them to access water from deeper soil layers [176]. Recent advancements in genomics have facilitated the identification of specific genes associated with stress tolerance, providing valuable insights into the genetic basis of these traits [1,70]. Environmental factors also play a significant role in grapevine resilience. The interaction between grapevines and their environment is complex, with factors such as soil composition, water availability, and temperature influencing their growth and productivity. Climate change exacerbates these interactions, leading to shifts in phenological stages and potentially reducing the quality and quantity of grapevine yields. To mitigate these effects, researchers are exploring various adaptation strategies, including the selection of appropriate rootstocks [177], the implementation of efficient irrigation techniques [89,178], and the modification of vineyard management practices [119].
Climate change presents significant challenges for viticulture, influencing grapevine physiology, phenology, and, ultimately, wine quality. Droulia and Charalampopoulos [179] review the impacts of climate change on European viticulture, emphasizing regional conditions, potential shifts in suitable grape-growing areas, and the importance of selecting resilient grapevine varieties. In response to increasing water scarcity, Medrano et al. [180] discussed various irrigation management techniques that enhance water use efficiency, such as deficit irrigation, partial root-zone drying, and water reuse. Complementing these strategies, Gambetta et al. [181] provided an in-depth look at water-deficit stress physiology in grapevines and stress the need for breeding programs focused on tolerance to water deficiency along with sustainable water management practices. Meanwhile, Palliotti et al. [182] examined how canopy management practices can delay ripening under high temperature and water deficits, highlighting the significance of adjusting canopy structure to mitigate climate change effects on grapevine phenology. Finally, Van Leeuwen and Darriet [183] explore the effects of climate change on grape composition and wine quality, discussing how altering the grapevine microclimate through vineyard management, such as changing row orientation, adjusting plant density, and implementing shading as suggested by Hunter et al. [184], can help alleviate adverse impacts.
Collectively, environmental factors, including temperature, water availability, and soil conditions, significantly impact grapevine physiology and productivity. However, most studies focus on well-established viticulture regions in Europe and North America, while data from emerging or understudied regions, such as parts of Asia, South America, and Africa, remain sparse. Enhancing research efforts in these underrepresented regions is crucial for a truly global understanding of climate change impacts and for uncovering novel genetic resources for adaptation. Furthermore, the effects of different stressors on grapevine growth, yield, and quality vary significantly by region, yet comprehensive datasets comparing these variations are limited. Regional studies could provide valuable insights into how climate change is affecting global viticulture.

6.2. Future Perspectives

The challenges posed by climate change on viticulture are profound, demanding innovative strategies to enhance grapevine resilience. This short review examines how molecular approaches ranging from genomics through transcriptomics, proteomics, and metabolomics to epigenetics can improve our understanding of grapevine responses to stress. We also reflect on the importance of integrating these technologies into practical viticulture strategies, from breeding and vineyard management to sustainable production. Nevertheless, as a non-model woody perennial, grapevine research has not yet benefited from the fully optimized omics pipelines established for model species such as Arabidopsis thaliana, Physcomitrium patens, Marchantia polymorpha, Nicotiana tabacum, Oryza sativa, Zea mays, or even woody plant Populus trichocarpa, resulting in gaps in standardized workflows and comprehensive datasets.
The resilience of grapevines is inherently multifactorial, shaped by complex interactions between genotype, epigenetic regulation, and environment. Genetic diversity, especially within and among wild and indigenous grapevine taxa, remains a critical resource for future breeding programs. Expanding research to include these lesser-studied groups could increase the adaptive capacity of cultivated varieties in the face of accelerating climate variability. Extreme weather events are projected to become more frequent, directly threatening grapevine phenology and grape berry composition. While short-term mitigation strategies such as regulated deficit irrigation, canopy adjustment, or rootstock selection have demonstrated benefits in specific contexts, long-term adaptation requires deeper genetic insight [185]. Understanding how grapevines will evolve under prolonged climate shifts requires extended field trials and predictive modeling, which are currently insufficient. Despite promising advances in omics and gene-editing tools such as CRISPR/Cas9, their application in viticulture remains largely experimental. Stable field-level implementation is constrained by regulatory hurdles, transformation inefficiency, and public perception. Similarly, integrating multi-omics data to build predictive models of stress tolerance is still limited by a lack of long-term field validation and high-throughput phenotyping infrastructure.
Taken together, biodiversity, domestication, environmental stress, and epigenetic memory jointly underpin grapevine adaptation. Decoding the molecular interplay through integrative omics will be essential for designing effective breeding and management strategies. To ensure the long-term sustainability of viticulture, further investment in systems biology, expanded germplasm screening, and translational field research is required, bridging the gap between molecular discovery and real-world application.

Author Contributions

Conceptualization, T.K., A.A., H.B.; writing—original draft preparation, T.K. and A.A.; writing—review and editing, T.K., A.A., H.B.; funding acquisition, H.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by an ADVANCE Research Grant of the Foundation for Armenian Science and Technology and the Higher Education and Science Committee of the Republic of Armenia in the frame of the Research Grant 25FAST-1F005.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ABAAbscisic Acid
Cas9CRISPR-associated protein 9
CBFC-repeat Binding Factor
CORCold-Responsive gene
CRISPRClustered Regularly Interspaced Short Palindromic Repeats
GWASsGenome-Wide Association Studies
HSPHeat Shock Protein
ICE1Inducer of CBF Expression 1
KEGGKyoto Encyclopedia of Genes and Genomes
RdDMRNA-directed DNA Methylation
RNA-seqRNA sequencing
ROSReactive Oxygen Species
SNPSingle-Nucleotide Polymorphism
TFsTranscription Factors

References

  1. Santos, R.B.; Figueiredo, A. Biotic and Abiotic Stress Management in Grapevine: Recent Advances and Major Breakthroughs. Agronomy 2023, 13, 1584. [Google Scholar] [CrossRef]
  2. Dai, Z.; Meddar, M.; Delrot, S.; Gomés, E. Development and Implementation of an in vitro Culture System for Intact Detached Grape Berries. Bio-Protocol 2015, 5, e1510. [Google Scholar] [CrossRef]
  3. Ren, C.; Mohamed, M.S.M.; Aini, N.; Kuang, Y.; Liang, Z. CRISPR/Cas in Grapevine Genome Editing: The Best Is Yet to Come. Horticulturae 2024, 10, 965. [Google Scholar] [CrossRef]
  4. Tyagi, A.; Mir, Z.A.; Almalki, M.A.; Deshmukh, R.; Ali, S. Genomics-Assisted Breeding: A Powerful Breeding Approach for Improving Plant Growth and Stress Resilience. Agronomy 2024, 14, 1128. [Google Scholar] [CrossRef]
  5. Bharati, R.; Sen, M.K.; Severová, L.; Svoboda, R.; Fernández-Cusimamani, E. Polyploidization and genomic selection integration for grapevine breeding: A perspective. Front. Plant Sci. 2023, 14, 1248978. [Google Scholar] [CrossRef]
  6. Savoi, S.; Santiago, A.; Orduña, L.; Matus, J.T. Transcriptomic and metabolomic integration as a resource in grapevine to study fruit metabolite quality traits. Front. Plant Sci. 2022, 13, 937927. [Google Scholar] [CrossRef]
  7. Daldoul, S.; Ben Amar, A.; Guillaumie, S.; Mliki, A. Integration of omics and system biology approaches to study grapevine (Vitis vinifera L.) response to salt stress: A perspective for functional genomics—A review. OENO One 2014, 48, 189. [Google Scholar] [CrossRef]
  8. Fabres, P.J.; Collins, C.; Cavagnaro, T.R.; Rodríguez López, C.M. A Concise Review on Multi-Omics Data Integration for Terroir Analysis in Vitis vinifera. Front. Plant Sci. 2017, 8, 1065. [Google Scholar] [CrossRef]
  9. Ghan, R.; Van Sluyter, S.C.; Hochberg, U.; Degu, A.; Hopper, D.W.; Tillet, R.L.; Schlauch, K.A.; Haynes, P.A.; Fait, A.; Cramer, G.R. Five omic technologies are concordant in differentiating the biochemical characteristics of the berries of five grapevine (Vitis vinifera L.) cultivars. BMC Genom. 2015, 16, 946. [Google Scholar] [CrossRef]
  10. Ren, C.; Li, Z.; Song, P.; Wang, Y.; Liu, W.; Zhang, L.; Li, X.; Li, W.; Han, D. Overexpression of a Grape MYB Transcription Factor Gene VhMYB2 Increases Salinity and Drought Tolerance in Arabidopsis thaliana. Int. J. Mol. Sci. 2023, 24, 10743. [Google Scholar] [CrossRef]
  11. Zhang, L.; Xing, L.; Dai, J.; Li, Z.; Zhang, A.; Wang, T.; Liu, W.; Li, X.; Han, D. Overexpression of a Grape WRKY Transcription Factor VhWRKY44 Improves the Resistance to Cold and Salt of Arabidopsis thaliana. Int. J. Mol. Sci. 2024, 25, 7437. [Google Scholar] [CrossRef]
  12. Han, J.; Dai, J.; Chen, Z.; Li, W.; Li, X.; Zhang, L.; Yao, A.; Zhang, B.; Han, D. Overexpression of a ‘Beta’ MYB Factor Gene, VhMYB15, Increases Salinity and Drought Tolerance in Arabidopsis thaliana. Int. J. Mol. Sci. 2024, 25, 1534. [Google Scholar] [CrossRef]
  13. Liu, W.; Wang, T.; Wang, Y.; Liang, X.; Han, J.; Han, D. MbMYBC1, a M. baccata MYB transcription factor, contribute to cold and drought stress tolerance in transgenic Arabidopsis. Front. Plant Sci. 2023, 14, 1141446. [Google Scholar] [CrossRef] [PubMed]
  14. Li, W.; Li, P.; Chen, H.; Zhong, J.; Liang, X.; Wei, Y.; Zhang, L.; Wang, H.; Han, D. Overexpression of a Fragaria vesca 1R-MYB Transcription Factor Gene (FvMYB114) Increases Salt and Cold Tolerance in Arabidopsis thaliana. Int. J. Mol. Sci. 2023, 24, 5261. [Google Scholar] [CrossRef] [PubMed]
  15. Li, W.; Wei, Y.; Zhang, L.; Wang, Y.; Song, P.; Li, X.; Han, D. FvMYB44, a Strawberry R2R3-MYB Transcription Factor, Improved Salt and Cold Stress Tolerance in Transgenic Arabidopsis. Agronomy 2023, 13, 1051. [Google Scholar] [CrossRef]
  16. Grassi, F.; De Lorenzis, G. Back to the Origins: Background and Perspectives of Grapevine Domestication. Int. J. Mol. Sci. 2021, 22, 4518. [Google Scholar] [CrossRef]
  17. Riaz, S.; De Lorenzis, G.; Velasco, D.; Koehmstedt, A.; Maghradze, D.; Bobokashvili, Z.; Musayev, M.; Zdunic, G.; Laucou, V.; Andrew Walker, M.; et al. Genetic diversity analysis of cultivated and wild grapevine (Vitis vinifera L.) accessions around the Mediterranean basin and Central Asia. BMC Plant Biol. 2018, 18, 137. [Google Scholar] [CrossRef]
  18. Guzmán-Ardiles, R.E.; Pegoraro, C.; Da Maia, L.C.; Costa De Oliveira, A. Genetic changes in the genus Vitis and the domestication of vine. Front. Plant Sci. 2023, 13, 1019311. [Google Scholar] [CrossRef]
  19. Dong, Y.; Duan, S.; Xia, Q.; Liang, Z.; Dong, X.; Margaryan, K.; Musayev, M.; Goryslavets, S.; Zdunić, G.; Bert, P.-F.; et al. Dual domestications and origin of traits in grapevine evolution. Science 2023, 379, 892–901. [Google Scholar] [CrossRef]
  20. Pambianchi, G.; Gentilucci, M. Hystory of viticulture in relation to climate change (from Neolithic to the fall of the Roman Empire). Catena 2024, 247, 108528. [Google Scholar] [CrossRef]
  21. Zhou, Y.; Massonnet, M.; Sanjak, J.S.; Cantu, D.; Gaut, B.S. Evolutionary genomics of grape (Vitis vinifera ssp. vinifera) domestication. Proc. Natl. Acad. Sci. USA 2017, 114, 11715–11720. [Google Scholar] [CrossRef]
  22. Ramos-Madrigal, J.; Runge, A.K.W.; Bouby, L.; Lacombe, T.; Samaniego Castruita, J.A.; Adam-Blondon, A.-F.; Figueiral, I.; Hallavant, C.; Martínez-Zapater, J.M.; Schaal, C.; et al. Palaeogenomic insights into the origins of French grapevine diversity. Nat. Plants 2019, 5, 595–603. [Google Scholar] [CrossRef] [PubMed]
  23. Magris, G.; Jurman, I.; Fornasiero, A.; Paparelli, E.; Schwope, R.; Marroni, F.; Di Gaspero, G.; Morgante, M. The genomes of 204 Vitis vinifera accessions reveal the origin of European wine grapes. Nat. Commun. 2021, 12, 7240. [Google Scholar] [CrossRef] [PubMed]
  24. Terral, J.-F.; Tabard, E.; Bouby, L.; Ivorra, S.; Pastor, T.; Figueiral, I.; Picq, S.; Chevance, J.-B.; Jung, C.; Fabre, L.; et al. Evolution and history of grapevine (Vitis vinifera) under domestication: New morphometric perspectives to understand seed domestication syndrome and reveal origins of ancient European cultivars. Ann. Bot. 2010, 105, 443–455. [Google Scholar] [CrossRef] [PubMed]
  25. Barnard, H.; Dooley, A.N.; Areshian, G.; Gasparyan, B.; Faull, K.F. Chemical evidence for wine production around 4000 BCE in the Late Chalcolithic Near Eastern highlands. J. Archaeol. Sci. 2011, 38, 977–984. [Google Scholar] [CrossRef]
  26. McGovern, P.; Jalabadze, M.; Batiuk, S.; Callahan, M.P.; Smith, K.E.; Hall, G.R.; Kvavadze, E.; Maghradze, D.; Rusishvili, N.; Bouby, L.; et al. Early Neolithic wine of Georgia in the South Caucasus. Proc. Natl. Acad. Sci. USA 2017, 114, E10309–E10318. [Google Scholar] [CrossRef]
  27. Bacilieri, R.; Lacombe, T.; Le Cunff, L.; Di Vecchi-Staraz, M.; Laucou, V.; Genna, B.; Péros, J.-P.; This, P.; Boursiquot, J.-M. Genetic structure in cultivated grapevines is linked to geography and human selection. BMC Plant Biol. 2013, 13, 25. [Google Scholar] [CrossRef]
  28. Granett, J.; Walker, M.A.; Kocsis, L.; Omer, A.D. Biology and Management of Grape Phylloxera. Annu. Rev. Entomol. 2001, 46, 387–412. [Google Scholar] [CrossRef]
  29. Yobrégat, O. Introduction to resistant vine types: A brief history and overview of the situation. OENO One 2018, 52, 241–246. [Google Scholar] [CrossRef]
  30. Klein, L.L.; Miller, A.J.; Ciotir, C.; Hyma, K.; Uribe-Convers, S.; Londo, J. High-throughput sequencing data clarify evolutionary relationships among North American Vitis species and improve identification in USDA Vitis germplasm collections. Am. J. Bot. 2018, 105, 215–226. [Google Scholar] [CrossRef]
  31. Roviello, V.; Caruso, U.; Dal Poggetto, G.; Naviglio, D. Hybrid Grapes for a Sustainable Viticulture in South Italy: Parentage Diagram Analysis and Metal Assessment in a Homemade Wine of Chambourcin Cultivar. Sustainability 2021, 13, 12472. [Google Scholar] [CrossRef]
  32. Wan, D.-Y.; Guo, Y.; Cheng, Y.; Hu, Y.; Xiao, S.; Wang, Y.; Wen, Y.-Q. CRISPR/Cas9-mediated mutagenesis of VvMLO3 results in enhanced resistance to powdery mildew in grapevine (Vitis vinifera). Hortic. Res. 2020, 7, 116. [Google Scholar] [CrossRef] [PubMed]
  33. Van Leeuwen, C.; Destrac-Irvine, A.; Dubernet, M.; Duchêne, E.; Gowdy, M.; Marguerit, E.; Pieri, P.; Parker, A.; De Rességuier, L.; Ollat, N. An Update on the Impact of Climate Change in Viticulture and Potential Adaptations. Agronomy 2019, 9, 514. [Google Scholar] [CrossRef]
  34. Margaryan, K.; Töpfer, R.; Gasparyan, B.; Arakelyan, A.; Trapp, O.; Röckel, F.; Maul, E. Wild grapes of Armenia: Unexplored source of genetic diversity and disease resistance. Front. Plant Sci. 2023, 14, 1276764. [Google Scholar] [CrossRef]
  35. This, P.; Lacombe, T.; Thomas, M. Historical origins and genetic diversity of wine grapes. Trends Genet. 2006, 22, 511–519. [Google Scholar] [CrossRef]
  36. Fedosov, D.Y.; Korzhenkov, A.A.; Petrova, K.O.; Sapsay, A.O.; Sharko, F.S.; Toshchakov, S.V.; Kolosova, A.A.; Bakhmutova, E.D.; Patrushev, M.V. SNP-Based Analysis Reveals Authenticity and Genetic Similarity of Russian Indigenous V. vinifera Grape Cultivars. Plants 2021, 10, 2696. [Google Scholar] [CrossRef]
  37. Belkina, D.; Stepanov, I.; Makarkina, M.; Porotikova, E.; Lifanov, I.; Kozhevnikov, E.; Gorislavets, S.; Vinogradova, S. In-depth population genetic study of Vitis vinifera ssp. sylvestris from the Black Sea region and its virome. Front. Plant Sci. 2025, 16, 1536862. [Google Scholar] [CrossRef]
  38. Daldoul, S.; Khattab, I.M.; Hanzouli, F.; Bahlouli, I.; Nick, P.; Mliki, A.; Gargouri, M. Help from the past to cope with the future: Vitis sylvestris as a resource for abiotic stress resilience. Plants People Planet 2025, ppp3.70034. [Google Scholar] [CrossRef]
  39. Villano, C.; Aiese Cigliano, R.; Esposito, S.; D’Amelia, V.; Iovene, M.; Carputo, D.; Aversano, R. DNA-Based Technologies for Grapevine Biodiversity Exploitation: State of the Art and Future Perspectives. Agronomy 2022, 12, 491. [Google Scholar] [CrossRef]
  40. Buck, K.; Worthington, M. Genetic Diversity of Wild and Cultivated Muscadine Grapes (Vitis rotundifolia Michx.). Front. Plant Sci. 2022, 13, 852130. [Google Scholar] [CrossRef]
  41. Myles, S.; Boyko, A.R.; Owens, C.L.; Brown, P.J.; Grassi, F.; Aradhya, M.K.; Prins, B.; Reynolds, A.; Chia, J.-M.; Ware, D.; et al. Genetic structure and domestication history of the grape. Proc. Natl. Acad. Sci. USA 2011, 108, 3530–3535. [Google Scholar] [CrossRef]
  42. Lijavetzky, D.; Ruiz-García, L.; Cabezas, J.A.; De Andrés, M.T.; Bravo, G.; Ibáñez, A.; Carreño, J.; Cabello, F.; Ibáñez, J.; Martínez-Zapater, J.M. Molecular genetics of berry colour variation in table grape. Mol. Genet. Genom. 2006, 276, 427–435. [Google Scholar] [CrossRef]
  43. Myles, S. Improving fruit and wine: What does genomics have to offer? Trends Genet. 2013, 29, 190–196. [Google Scholar] [CrossRef] [PubMed]
  44. Velt, A.; Frommer, B.; Blanc, S.; Holtgräwe, D.; Duchêne, É.; Dumas, V.; Grimplet, J.; Hugueney, P.; Kim, C.; Lahaye, M.; et al. An improved reference of the grapevine genome reasserts the origin of the PN40024 highly homozygous genotype. G3 Genes Genomes Genet. 2023, 13, jkad067. [Google Scholar] [CrossRef] [PubMed]
  45. Shi, X.; Cao, S.; Wang, X.; Huang, S.; Wang, Y.; Liu, Z.; Liu, W.; Leng, X.; Peng, Y.; Wang, N.; et al. The complete reference genome for grapevine (Vitis vinifera L.) genetics and breeding. Hortic. Res. 2023, 10, uhad061. [Google Scholar] [CrossRef] [PubMed]
  46. Onetto, C.A.; Ward, C.M.; Borneman, A.R. The Genome Assembly of Vitis vinifera cv. Shiraz. Aust. J. Grape Wine Res. 2023, 2023, 6686706. [Google Scholar] [CrossRef]
  47. Cheng, G.; Wu, D.; Guo, R.; Li, H.; Wei, R.; Zhang, J.; Wei, Z.; Meng, X.; Yu, H.; Xie, L.; et al. Chromosome-scale genomics, metabolomics, and transcriptomics provide insight into the synthesis and regulation of phenols in Vitis adenoclada grapes. Front. Plant Sci. 2023, 14, 1124046. [Google Scholar] [CrossRef]
  48. Zdunić, G.; Lukšić, K.; Nagy, Z.A.; Mucalo, A.; Hančević, K.; Radić, T.; Butorac, L.; Jahnke, G.G.; Kiss, E.; Ledesma-Krist, G.; et al. Genetic Structure and Relationships among Wild and Cultivated Grapevines from Central Europe and Part of the Western Balkan Peninsula. Genes 2020, 11, 962. [Google Scholar] [CrossRef]
  49. Maghradze, D.; Aslanishvili, A.; Mdinaradze, I.; Tkemaladze, D.; Mekhuzla, L.; Lordkipanidze, D.; Jalabadze, M.; Kvavadze, E.; Rusishvili, N.; McGovern, P.; et al. Progress for research of grape and wine culture in Georgia, the South Caucasus. BIO Web Conf. 2019, 12, 03003. [Google Scholar] [CrossRef]
  50. Bouby, L.; Wales, N.; Jalabadze, M.; Rusishvili, N.; Bonhomme, V.; Ramos-Madrigal, J.; Evin, A.; Ivorra, S.; Lacombe, T.; Pagnoux, C.; et al. Tracking the history of grapevine cultivation in Georgia by combining geometric morphometrics and ancient DNA. Veget. Hist. Archaeobot. 2021, 30, 63–76. [Google Scholar] [CrossRef]
  51. Maghradze, D.; Kikilashvili, S.; Gotsiridze, O.; Maghradze, T.; Fracassetti, D.; Failla, O.; Rustioni, L. Comparison between the Grape Technological Characteristics of Vitis vinifera Subsp. sylvestris and Subsp. sativa. Agronomy 2021, 11, 472. [Google Scholar] [CrossRef]
  52. Sargolzaei, M.; Rustioni, L.; Cola, G.; Ricciardi, V.; Bianco, P.A.; Maghradze, D.; Failla, O.; Quaglino, F.; Toffolatti, S.L.; De Lorenzis, G. Georgian Grapevine Cultivars: Ancient Biodiversity for Future Viticulture. Front. Plant Sci. 2021, 12, 630122. [Google Scholar] [CrossRef]
  53. De Lorenzis, G.; Chipashvili, R.; Failla, O.; Maghradze, D. Study of genetic variability in Vitis vinifera L. germplasm by high-throughput Vitis18kSNP array: The case of Georgian genetic resources. BMC Plant Biol. 2015, 15, 154. [Google Scholar] [CrossRef] [PubMed]
  54. Dallakyan, M.; Esoyan, S.; Gasparyan, B.; Smith, A.; Hovhannisyan, N. Genetic diversity and traditional uses of aboriginal grape (Vitis vinifera L.) varieties from the main viticultural regions of Armenia. Genet. Resour. Crop Evol. 2020, 67, 999–1024. [Google Scholar] [CrossRef]
  55. Margaryan, K.; Gasparyan, B.; Prtrosyan, A.; Harutyunyan, F.; Töpfer, R.; Maul, E. Grapevine genetic resources of Armenia: Molecular fingerprinting and phylogenetic relationship among wild and cultivated grapevine. VITIS J. Grapevine Res. 2023, 62, 11–22. [Google Scholar] [CrossRef]
  56. Magaryan, K.; Nikogհosyan, M.; Baloyan, A.; Gasoyan, H.; Hovhannisyan, E.; Galstyan, L.; Konecny, T.; Arakelyan, A.; Binder, H. Machine learned-based visualization of the diversity of grapevine genomes worldwide and in Armenia using SOMmelier. BIO Web Conf. 2023, 68, 01009. [Google Scholar] [CrossRef]
  57. Nikoghosyan, M.; Schmidt, M.; Margaryan, K.; Loeffler-Wirth, H.; Arakelyan, A.; Binder, H. SOMmelier—Intuitive Visualization of the Topology of Grapevine Genome Landscapes Using Artificial Neural Networks. Genes 2020, 11, 817. [Google Scholar] [CrossRef]
  58. Wirth, H.; Löffler, M.; von Bergen, M.; Binder, H. Expression cartography of human tissues using self organizing maps. BMC Bioinform. 2011, 12, 306. [Google Scholar] [CrossRef]
  59. Fraga, H.; Malheiro, A.C.; Moutinho-Pereira, J.; Santos, J.A. Future scenarios for viticultural zoning in Europe: Ensemble projections and uncertainties. Int. J. Biometeorol. 2013, 57, 909–925. [Google Scholar] [CrossRef]
  60. Hannah, L.; Roehrdanz, P.R.; Ikegami, M.; Shepard, A.V.; Shaw, M.R.; Tabor, G.; Zhi, L.; Marquet, P.A.; Hijmans, R.J. Climate change, wine, and conservation. Proc. Natl. Acad. Sci. USA 2013, 110, 6907–6912. [Google Scholar] [CrossRef]
  61. Keller, M. Climate Change Impacts on Vineyards in Warm and Dry Areas: Challenges and Opportunities: From the ASEV Climate Change Symposium Part 1—Viticulture. Am. J. Enol. Vitic. 2023, 74, 0740033. [Google Scholar] [CrossRef]
  62. Naulleau, A.; Gary, C.; Prévot, L.; Hossard, L. Evaluating Strategies for Adaptation to Climate Change in Grapevine Production–A Systematic Review. Front. Plant Sci. 2021, 11, 607859. [Google Scholar] [CrossRef] [PubMed]
  63. de Orduña, R.M. Climate change associated effects on grape and wine quality and production. Food Res. Int. 2010, 43, 1844–1855. [Google Scholar] [CrossRef]
  64. Chaves, M.M. How Plants Cope with Water Stress in the Field? Photosynthesis and Growth. Ann. Bot. 2002, 89, 907–916. [Google Scholar] [CrossRef]
  65. Sharma, M.; Negi, S.; Kumar, P.; Srivastava, D.K.; Choudhary, M.K.; Irfan, M. Fruit ripening under heat stress: The intriguing role of ethylene-mediated signaling. Plant Sci. 2023, 335, 111820. [Google Scholar] [CrossRef]
  66. Rehman, S.; Ahmad, Z.; Ramakrishnan, M.; Kalendar, R.; Zhuge, Q. Regulation of plant epigenetic memory in response to cold and heat stress: Towards climate resilient agriculture. Funct. Integr. Genom. 2023, 23, 298. [Google Scholar] [CrossRef]
  67. Gouot, J.C.; Smith, J.P.; Holzapfel, B.P.; Barril, C. Impact of short temperature exposure of Vitis vinifera L. cv. Shiraz grapevine bunches on berry development, primary metabolism and tannin accumulation. Environ. Exp. Bot. 2019, 168, 103866. [Google Scholar] [CrossRef]
  68. Hendrickson, L.; Ball, M.C.; Wood, J.T.; Chow, W.S.; Furbank, R.T. Low temperature effects on photosynthesis and growth of grapevine. Plant Cell Environ. 2004, 27, 795–809. [Google Scholar] [CrossRef]
  69. Schultz, H.R. Global Climate Change, Sustainability, and Some Challenges for Grape and Wine Production. J. Wine Econ. 2016, 11, 181–200. [Google Scholar] [CrossRef]
  70. Ren, C.; Fan, P.; Li, S.; Liang, Z. Advances in understanding cold tolerance in grapevine. Plant Physiol. 2023, 192, 1733–1746. [Google Scholar] [CrossRef]
  71. Londo, J.P.; Kovaleski, A.P.; Lillis, J.A. Divergence in the transcriptional landscape between low temperature and freeze shock in cultivated grapevine (Vitis vinifera). Hortic. Res. 2018, 5, 1–14. [Google Scholar] [CrossRef]
  72. Savoi, S.; Herrera, J.C.; Carlin, S.; Lotti, C.; Bucchetti, B.; Peterlunger, E.; Castellarin, S.D.; Mattivi, F. From grape berries to wines: Drought impacts on key secondary metabolites. OENO One 2020, 54, 569–582. [Google Scholar] [CrossRef]
  73. Hwarari, D.; Guan, Y.; Ahmad, B.; Movahedi, A.; Min, T.; Hao, Z.; Lu, Y.; Chen, J.; Yang, L. ICE-CBF-COR Signaling Cascade and Its Regulation in Plants Responding to Cold Stress. Int. J. Mol. Sci. 2022, 23, 1549. [Google Scholar] [CrossRef]
  74. Lv, K.; Li, J.; Zhao, K.; Chen, S.; Nie, J.; Zhang, W.; Liu, G.; Wei, H. Overexpression of an AP2/ERF family gene, BpERF13, in birch enhances cold tolerance through upregulating CBF genes and mitigating reactive oxygen species. Plant Sci. 2020, 292, 110375. [Google Scholar] [CrossRef] [PubMed]
  75. Kovaleski, A.P.; Londo, J.P. Tempo of gene regulation in wild and cultivated Vitis species shows coordination between cold deacclimation and budbreak. Plant Sci. 2019, 287, 110178. [Google Scholar] [CrossRef] [PubMed]
  76. Wang, X.; Niu, Y.; Zheng, Y. Multiple Functions of MYB Transcription Factors in Abiotic Stress Responses. Int. J. Mol. Sci. 2021, 22, 6125. [Google Scholar] [CrossRef] [PubMed]
  77. Yadav, V.; Zhong, H.; Patel, M.K.; Zhang, S.; Zhou, X.; Zhang, C.; Zhang, J.; Su, J.; Zhang, F.; Wu, X. Integrated omics-based exploration for temperature stress resilience: An approach to smart grape breeding strategies. Plant Stress 2024, 11, 100356. [Google Scholar] [CrossRef]
  78. Mosedale, J.R.; Wilson, R.J.; Maclean, I.M.D. Climate Change and Crop Exposure to Adverse Weather: Changes to Frost Risk and Grapevine Flowering Conditions. PLoS ONE 2015, 10, e0141218. [Google Scholar] [CrossRef]
  79. Ferguson, J.C.; Tarara, J.M.; Mills, L.J.; Grove, G.G.; Keller, M. Dynamic thermal time model of cold hardiness for dormant grapevine buds. Ann. Bot. 2011, 107, 389–396. [Google Scholar] [CrossRef]
  80. Poni, S.; Sabbatini, P.; Palliotti, A. Facing Spring Frost Damage in Grapevine: Recent Developments and the Role of Delayed Winter Pruning—A Review. Am. J. Enol. Vitic. 2022, 73, 211–226. [Google Scholar] [CrossRef]
  81. Martínez-Lüscher, J.; Torres, N.; Hilbert, G.; Richard, T.; Sánchez-Díaz, M.; Delrot, S.; Aguirreolea, J.; Pascual, I.; Gomès, E. Ultraviolet-B radiation modifies the quantitative and qualitative profile of flavonoids and amino acids in grape berries. Phytochemistry 2014, 102, 106–114. [Google Scholar] [CrossRef]
  82. Walker, R.R.; Blackmore, D.H.; Clingeleffer, P.R.; Correll, R.L. Rootstock effects on salt tolerance of irrigated field-grown grapevines (Vitis vinifera L. cv. Sultana): 1. Yield and vigour inter-relationships. Aust. J. Grape Wine Res. 2002, 8, 3–14. [Google Scholar] [CrossRef]
  83. Prinsi, B.; Simeoni, F.; Galbiati, M.; Meggio, F.; Tonelli, C.; Scienza, A.; Espen, L. Grapevine Rootstocks Differently Affect Physiological and Molecular Responses of the Scion under Water Deficit Condition. Agronomy 2021, 11, 289. [Google Scholar] [CrossRef]
  84. Keller, M. The Science of Grapevines: Anatomy and Physiology; Elsevier Science & Technology: Burlington, MA, USA, 2010; ISBN 978-0-08-089048-7. [Google Scholar]
  85. Chacón-Vozmediano, J.L.; Martínez-Gascueña, J.; García-Navarro, F.J.; Jiménez-Ballesta, R. Effects of Water Stress on Vegetative Growth and ‘Merlot’ Grapevine Yield in a Semi-Arid Mediterranean Climate. Horticulturae 2020, 6, 95. [Google Scholar] [CrossRef]
  86. Pastore, C.; Frioni, T.; Diago, M.P. Editorial: Resilience of grapevine to climate change: From plant physiology to adaptation strategies. Front. Plant Sci. 2022, 13, 994267. [Google Scholar] [CrossRef] [PubMed]
  87. Frioni, T.; Pastore, C.; Diago, M.P. Editorial: Resilience of grapevine to climate change: From plant physiology to adaptation strategies, volume II. Front. Plant Sci. 2023, 14, 1268158. [Google Scholar] [CrossRef] [PubMed]
  88. Müller, K.; Keller, M.; Stoll, M.; Friedel, M. Wind speed, sun exposure and water status alter sunburn susceptibility of grape berries. Front. Plant Sci. 2023, 14, 1145274. [Google Scholar] [CrossRef] [PubMed]
  89. Chaves, M.M.; Zarrouk, O.; Francisco, R.; Costa, J.M.; Santos, T.; Regalado, A.P.; Rodrigues, M.L.; Lopes, C.M. Grapevine under deficit irrigation: Hints from physiological and molecular data. Ann. Bot. 2010, 105, 661–676. [Google Scholar] [CrossRef]
  90. Liu, G.-T.; Wang, J.-F.; Cramer, G.; Dai, Z.-W.; Duan, W.; Xu, H.-G.; Wu, B.-H.; Fan, P.-G.; Wang, L.-J.; Li, S.-H. Transcriptomic analysis of grape (Vitis vinifera L.) leaves during and after recovery from heat stress. BMC Plant Biol. 2012, 12, 174. [Google Scholar] [CrossRef]
  91. Chaves, M.M.; Flexas, J.; Pinheiro, C. Photosynthesis under drought and salt stress: Regulation mechanisms from whole plant to cell. Ann. Bot. 2009, 103, 551–560. [Google Scholar] [CrossRef]
  92. Shinozaki, K.; Yamaguchi-Shinozaki, K. Gene networks involved in drought stress response and tolerance. J. Exp. Bot. 2006, 58, 221–227. [Google Scholar] [CrossRef]
  93. Grimplet, J.; Wheatley, M.D.; Jouira, H.B.; Deluc, L.G.; Cramer, G.R.; Cushman, J.C. Proteomic and selected metabolite analysis of grape berry tissues under well-watered and water-deficit stress conditions. Proteomics 2009, 9, 2503–2528. [Google Scholar] [CrossRef] [PubMed]
  94. Lin, Y.; Liu, S.; Fang, X.; Ren, Y.; You, Z.; Xia, J.; Hakeem, A.; Yang, Y.; Wang, L.; Fang, J.; et al. The physiology of drought stress in two grapevine cultivars: Photosynthesis, antioxidant system, and osmotic regulation responses. Physiol. Plant. 2023, 175, e14005. [Google Scholar] [CrossRef] [PubMed]
  95. Fennell, A. Freezing Tolerance and Injury in Grapevines. J. Crop Improv. 2004, 10, 201–235. [Google Scholar] [CrossRef]
  96. Nenko, N.I.; Ilyina, I.A.; Kiseleva, G.K.; Yablonskaya, E.K. Low-Temperature Stress Tolerance of Grapevine Varieties of Different Ecological and Geographical Origin. Proc. Latv. Acad. Sci. Sect. B. Nat. Exact Appl. Sci. 2019, 73, 56–65. [Google Scholar] [CrossRef]
  97. Zhang, X.; Zhang, L.; Dong, F.; Gao, J.; Galbraith, D.W.; Song, C.-P. Hydrogen Peroxide Is Involved in Abscisic Acid-Induced Stomatal Closure in Vicia faba. Plant Physiol. 2001, 126, 1438–1448. [Google Scholar] [CrossRef]
  98. Thomashow, M.F. Molecular Basis of Plant Cold Acclimation: Insights Gained from Studying the CBF Cold Response Pathway. Plant Physiol. 2010, 154, 571–577. [Google Scholar] [CrossRef]
  99. Henderson, S.W.; Baumann, U.; Blackmore, D.H.; Walker, A.R.; Walker, R.R.; Gilliham, M. Shoot chloride exclusion and salt tolerance in grapevine is associated with differential ion transporter expression in roots. BMC Plant Biol. 2014, 14, 273. [Google Scholar] [CrossRef]
  100. Lu, X.; Ma, L.; Zhang, C.; Yan, H.; Bao, J.; Gong, M.; Wang, W.; Li, S.; Ma, S.; Chen, B. Grapevine (Vitis vinifera) responses to salt stress and alkali stress: Transcriptional and metabolic profiling. BMC Plant Biol. 2022, 22, 528. [Google Scholar] [CrossRef]
  101. Lu, X.; Chen, G.; Ma, L.; Yan, H.; Zhang, C.; Nai, G.; Bao, J.; Liu, Y.; Lai, Y.; Li, S.; et al. Abscisic acid enhances alkaline stress tolerance in grapevines: Physiological and transcriptional profiling. Sci. Hortic. 2024, 336, 113368. [Google Scholar] [CrossRef]
  102. Bassil, E.; Coku, A.; Blumwald, E. Cellular ion homeostasis: Emerging roles of intracellular NHX Na+/H+ antiporters in plant growth and development. J. Exp. Bot. 2012, 63, 5727–5740. [Google Scholar] [CrossRef] [PubMed]
  103. Scholasch, T.; Rienth, M. Review of water deficit mediated changes in vine and berry physiology; Consequences for the optimization of irrigation strategies. OENO One 2019, 53, 423–444. [Google Scholar] [CrossRef]
  104. Dai, Z.W.; Meddar, M.; Renaud, C.; Merlin, I.; Hilbert, G.; Delrot, S.; Gomès, E. Long-term in vitro culture of grape berries and its application to assess the effects of sugar supply on anthocyanin accumulation. J. Exp. Bot. 2013, 65, 4665–4677. [Google Scholar] [CrossRef] [PubMed]
  105. Feechan, A.; Anderson, C.; Torregrosa, L.; Jermakow, A.; Mestre, P.; Wiedemann-Merdinoglu, S.; Merdinoglu, D.; Walker, A.R.; Cadle-Davidson, L.; Reisch, B.; et al. Genetic dissection of a TIR-NB-LRR locus from the wild North American grapevine species Muscadinia rotundifolia identifies paralogous genes conferring resistance to major fungal and oomycete pathogens in cultivated grapevine. Plant J. 2013, 76, 661–674. [Google Scholar] [CrossRef]
  106. Barker, C.L.; Donald, T.; Pauquet, J.; Ratnaparkhe, M.B.; Bouquet, A.; Adam-Blondon, A.-F.; Thomas, M.R.; Dry, I. Genetic and physical mapping of the grapevine powdery mildew resistance gene, Run1, using a bacterial artificial chromosome library. Theor. Appl. Genet. 2005, 111, 370–377. [Google Scholar] [CrossRef]
  107. The French–Italian Public Consortium for Grapevine Genome Characterization The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla. Nature 2007, 449, 463–467. [CrossRef]
  108. Razalli, I.I.; Abdullah-Zawawi, M.-R.; Tamizi, A.-A.; Harun, S.; Zainal-Abidin, R.-A.; Jalal, M.I.A.; Ullah, M.A.; Zainal, Z. Accelerating crop improvement via integration of transcriptome-based network biology and genome editing. Planta 2025, 261, 92. [Google Scholar] [CrossRef]
  109. Rienth, M.; Torregrosa, L.; Luchaire, N.; Chatbanyong, R.; Lecourieux, D.; Kelly, M.T.; Romieu, C. Day and night heat stress trigger different transcriptomic responses in green and ripening grapevine (Vitis vinifera) fruit. BMC Plant Biol. 2014, 14, 108. [Google Scholar] [CrossRef]
  110. Cramer, G.R.; Ergül, A.; Grimplet, J.; Tillett, R.L.; Tattersall, E.A.R.; Bohlman, M.C.; Vincent, D.; Sonderegger, J.; Evans, J.; Osborne, C.; et al. Water and salinity stress in grapevines: Early and late changes in transcript and metabolite profiles. Funct. Integr. Genom. 2007, 7, 111–134. [Google Scholar] [CrossRef]
  111. Liu, Z.; Wang, N.; Su, Y.; Long, Q.; Peng, Y.; Shangguan, L.; Zhang, F.; Cao, S.; Wang, X.; Ge, M.; et al. Grapevine pangenome facilitates trait genetics and genomic breeding. Nat. Genet. 2024, 56, 2804–2814. [Google Scholar] [CrossRef]
  112. D’Onofrio, C. Introgression Among Cultivated and Wild Grapevine in Tuscany. Front. Plant Sci. 2020, 11, 202. [Google Scholar] [CrossRef]
  113. Flutre, T.; Le Cunff, L.; Fodor, A.; Launay, A.; Romieu, C.; Berger, G.; Bertrand, Y.; Terrier, N.; Beccavin, I.; Bouckenooghe, V.; et al. A genome-wide association and prediction study in grapevine deciphers the genetic architecture of multiple traits and identifies genes under many new QTLs. G3 Genes Genomes Genet. 2022, 12, jkac103. [Google Scholar] [CrossRef] [PubMed]
  114. Yu, R.; Torres, N.; Tanner, J.D.; Kacur, S.M.; Marigliano, L.E.; Zumkeller, M.; Gilmer, J.C.; Gambetta, G.A.; Kurtural, S.K. Adapting wine grape production to climate change through canopy architecture manipulation and irrigation in warm climates. Front. Plant Sci. 2022, 13, 1015574. [Google Scholar] [CrossRef] [PubMed]
  115. Shangguan, L.; Fang, X.; Chen, L.; Cui, L.; Fang, J. Genome-wide analysis of autophagy-related genes (ARGs) in grapevine and plant tolerance to copper stress. Planta 2018, 247, 1449–1463. [Google Scholar] [CrossRef] [PubMed]
  116. Yu, J.; Zhu, C.; Xuan, W.; An, H.; Tian, Y.; Wang, B.; Chi, W.; Chen, G.; Ge, Y.; Li, J.; et al. Genome-wide association studies identify OsWRKY53 as a key regulator of salt tolerance in rice. Nat. Commun. 2023, 14, 3550. [Google Scholar] [CrossRef]
  117. Liu, L.; Ma, Y.; Zhao, H.; Guo, L.; Guo, Y.; Liu, C.-M. Genome-wide association studies identified OsTMF as a gene regulating rice seed germination under salt stress. Front. Plant Sci. 2024, 15, 1384246. [Google Scholar] [CrossRef]
  118. Tello, J.; Ibáñez, J. Review: Status and prospects of association mapping in grapevine. Plant Sci. 2023, 327, 111539. [Google Scholar] [CrossRef]
  119. Butiuc-Keul, A.; Coste, A. Biotechnologies and Strategies for Grapevine Improvement. Horticulturae 2023, 9, 62. [Google Scholar] [CrossRef]
  120. Marrano, A.; Micheletti, D.; Lorenzi, S.; Neale, D.; Grando, M.S. Genomic signatures of different adaptations to environmental stimuli between wild and cultivated Vitis vinifera L. Hortic. Res. 2018, 5, 34. [Google Scholar] [CrossRef]
  121. Coupel-Ledru, A.; Westgeest, A.J.; Albasha, R.; Millan, M.; Pallas, B.; Doligez, A.; Flutre, T.; Segura, V.; This, P.; Torregrosa, L.; et al. Clusters of grapevine genes for a burning world. New Phytol. 2024, 242, 10–18. [Google Scholar] [CrossRef]
  122. Liang, G.; He, H.; Nai, G.; Feng, L.; Li, Y.; Zhou, Q.; Ma, Z.; Yue, Y.; Chen, B.; Mao, J. Genome-wide identification of BAM genes in grapevine (Vitis vinifera L.) and ectopic expression of VvBAM1 modulating soluble sugar levels to improve low-temperature tolerance in tomato. BMC Plant Biol. 2021, 21, 156. [Google Scholar] [CrossRef]
  123. Li, M.-Y.; Jiao, Y.-T.; Wang, Y.-T.; Zhang, N.; Wang, B.-B.; Liu, R.-Q.; Yin, X.; Xu, Y.; Liu, G.-T. CRISPR/Cas9-mediated VvPR4b editing decreases downy mildew resistance in grapevine (Vitis vinifera L.). Hortic. Res. 2020, 7, 149. [Google Scholar] [CrossRef]
  124. Luca, L.P.; Guardo, M.D.; Bennici, S.; Ferlito, F.; Nicolosi, E.; La Malfa, S.; Gentile, A.; Distefano, G. Development of an efficient molecular-marker assisted selection strategy for berry color in grapevine. Sci. Hortic. 2024, 337, 113522. [Google Scholar] [CrossRef]
  125. Possamai, T.; Scota, L.; Velasco, R.; Migliaro, D. A Sustainable Strategy for Marker-Assisted Selection (MAS) Applied in Grapevine (Vitis spp.) Breeding for Resistance to Downy (Plasmopara Viticola) and Powdery (Erysiphe Necator) Mildews. Plants 2024, 13, 2001. [Google Scholar] [CrossRef] [PubMed]
  126. Brault, C.; Segura, V.; Roques, M.; Lamblin, P.; Bouckenooghe, V.; Pouzalgues, N.; Cunty, C.; Breil, M.; Frouin, M.; Garcin, L.; et al. Enhancing grapevine breeding efficiency through genomic prediction and selection index. G3 Genes Genomes Genet. 2024, 14, jkae038. [Google Scholar] [CrossRef] [PubMed]
  127. Upadhyay, A.; Gaonkar, T.; Upadhyay, A.K.; Jogaiah, S.; Shinde, M.P.; Kadoo, N.Y.; Gupta, V.S. Global transcriptome analysis of grapevine (Vitis vinifera L.) leaves under salt stress reveals differential response at early and late stages of stress in table grape cv. Thompson Seedless. Plant Physiol. Biochem. 2018, 129, 168–179. [Google Scholar] [CrossRef]
  128. Vannozzi, A.; Wong, D.C.J.; Höll, J.; Hmmam, I.; Matus, J.T.; Bogs, J.; Ziegler, T.; Dry, I.; Barcaccia, G.; Lucchin, M. Combinatorial Regulation of Stilbene Synthase Genes by WRKY and MYB Transcription Factors in Grapevine (Vitis vinifera L.). Plant Cell Physiol. 2018, 59, 1043–1059. [Google Scholar] [CrossRef]
  129. Ogundipe, D.S. Developing drought and heat-resistant grapevine cultivars through marker-assisted breeding. Int. J. Sci. Res. Arch. 2024, 13, 1011–1023. [Google Scholar] [CrossRef]
  130. Delrot, S.; Grimplet, J.; Carbonell-Bejerano, P.; Schwandner, A.; Bert, P.-F.; Bavaresco, L.; Costa, L.D.; Di Gaspero, G.; Duchêne, E.; Hausmann, L.; et al. Genetic and Genomic Approaches for Adaptation of Grapevine to Climate Change. In Genomic Designing of Climate-Smart Fruit Crops; Kole, C., Ed.; Springer International Publishing: Cham, Switzerland, 2020; pp. 157–270. [Google Scholar] [CrossRef]
  131. Rurek, M.; Smolibowski, M. Variability of plant transcriptomic responses under stress acclimation: A review from high throughput studies. Acta Biochim. Pol. 2024, 71, 13585. [Google Scholar] [CrossRef]
  132. Dal Santo, S.; Palliotti, A.; Zenoni, S.; Tornielli, G.B.; Fasoli, M.; Paci, P.; Tombesi, S.; Frioni, T.; Silvestroni, O.; Bellincontro, A.; et al. Distinct transcriptome responses to water limitation in isohydric and anisohydric grapevine cultivars. BMC Genom. 2016, 17, 815. [Google Scholar] [CrossRef]
  133. Xu, X.; Fonseca De Lima, C.F.; Vu, L.D.; De Smet, I. When drought meets heat—A plant omics perspective. Front. Plant Sci. 2023, 14, 1250878. [Google Scholar] [CrossRef]
  134. Gomès, É.; Maillot, P.; Duchêne, É. Molecular Tools for Adapting Viticulture to Climate Change. Front. Plant Sci. 2021, 12, 633846. [Google Scholar] [CrossRef]
  135. Konecny, T.; Asatryan, A.; Nikoghosyan, M.; Binder, H. Unveiling Iso- and Aniso-Hydric Disparities in Grapevine—A Reanalysis by Transcriptome Portrayal Machine Learning. Plants 2024, 13, 2501. [Google Scholar] [CrossRef] [PubMed]
  136. Konecny, T.; Nikoghosyan, M.; Binder, H. Machine learning extracts marks of thiamine’s role in cold acclimation in the transcriptome of Vitis vinifera. Front. Plant Sci. 2023, 14, 1303542. [Google Scholar] [CrossRef] [PubMed]
  137. Guo, R.; Lin, L.; Huang, G.; Shi, X.; Wei, R.; Han, J.; Zhou, S.; Zhang, Y.; Xie, T.; Bai, X.; et al. Transcriptome Analysis of ‘Kyoho’ Grapevine Leaves Identifies Heat Response Genes Involved in the Transcriptional Regulation of Photosynthesis and Abscisic Acid. Agronomy 2022, 12, 2591. [Google Scholar] [CrossRef]
  138. Tan, J.W.; Shinde, H.; Tesfamicael, K.; Hu, Y.; Fruzangohar, M.; Tricker, P.; Baumann, U.; Edwards, E.J.; Rodríguez López, C.M. Global transcriptome and gene co-expression network analyses reveal regulatory and non-additive effects of drought and heat stress in grapevine. Front. Plant Sci. 2023, 14, 1096225. [Google Scholar] [CrossRef] [PubMed]
  139. Wang, Y.; Xin, H.; Fan, P.; Zhang, J.; Liu, Y.; Dong, Y.; Wang, Z.; Yang, Y.; Zhang, Q.; Ming, R.; et al. The genome of Shanputao (Vitis amurensis) provides a new insight into cold tolerance of grapevine. Plant J. 2021, 105, 1495–1506. [Google Scholar] [CrossRef]
  140. Jiang, J.; Liu, X.; Liu, C.; Liu, G.; Li, S.; Wang, L. Integrating Omics and Alternative Splicing Reveals Insights into Grape Response to High Temperature. Plant Physiol. 2017, 173, 1502–1518. [Google Scholar] [CrossRef]
  141. Sarry, J.; Sommerer, N.; Sauvage, F.; Bergoin, A.; Rossignol, M.; Albagnac, G.; Romieu, C. Grape berry biochemistry revisited upon proteomic analysis of the mesocarp. Proteomics 2004, 4, 201–215. [Google Scholar] [CrossRef]
  142. Giribaldi, M.; Giuffrida, M.G. Heard it through the grapevine: Proteomic perspective on grape and wine. J. Proteom. 2010, 73, 1647–1655. [Google Scholar] [CrossRef]
  143. George, I.S.; Haynes, P.A. Current perspectives in proteomic analysis of abiotic stress in Grapevines. Front. Plant Sci. 2014, 5, 686. [Google Scholar] [CrossRef] [PubMed]
  144. Lecourieux, D.; Kappel, C.; Claverol, S.; Pieri, P.; Feil, R.; Lunn, J.E.; Bonneu, M.; Wang, L.; Gomès, E.; Delrot, S.; et al. Proteomic and metabolomic profiling underlines the stage- and time-dependent effects of high temperature on grape berry metabolism. J. Integr. Plant Biol. 2020, 62, 1132–1158. [Google Scholar] [CrossRef]
  145. Close, T.J. Dehydrins: A commonalty in the response of plants to dehydration and low temperature. Physiol. Plant. 1997, 100, 291–296. [Google Scholar] [CrossRef]
  146. Masocha, V.F.; Li, Q.; Zhu, Z.; Chai, F.; Sun, X.; Wang, Z.; Yang, L.; Wang, Q.; Xin, H. Proteomic variation in Vitis amurensis and V. vinifera buds during cold acclimation. Sci. Hortic. 2020, 263, 109143. [Google Scholar] [CrossRef]
  147. Jan, N.; Qazi, H.A.; Raja, V.; John, R. Proteomics: A tool to decipher cold tolerance. Theor. Exp. Plant Physiol. 2019, 31, 183–213. [Google Scholar] [CrossRef]
  148. Estêvão, C.; Rodrigues, L.; Rato, A.E.; Garcia, R.; Cardoso, H.; Campos, C. Applicability of metabolomics to improve sustainable grapevine production. Front. Mol. Biosci. 2024, 11, 1395677. [Google Scholar] [CrossRef]
  149. Conde, A.; Regalado, A.; Rodrigues, D.; Costa, J.M.; Blumwald, E.; Chaves, M.M.; Gerós, H. Polyols in grape berry: Transport and metabolic adjustments as a physiological strategy for water-deficit stress tolerance in grapevine. J. Exp. Bot. 2015, 66, 889–906. [Google Scholar] [CrossRef]
  150. Huang, F.; Lei, Y.; Duan, J.; Kang, Y.; Luo, Y.; Ding, D.; Chen, Y.; Li, S. Investigation of heat stress responses and adaptation mechanisms by integrative metabolome and transcriptome analysis in tea plants (Camellia sinensis). Sci. Rep. 2024, 14, 10023. [Google Scholar] [CrossRef]
  151. Wang, Z.-L.; Wu, D.; Hui, M.; Wang, Y.; Han, X.; Yao, F.; Cao, X.; Li, Y.-H.; Li, H.; Wang, H. Screening of cold hardiness-related indexes and establishment of a comprehensive evaluation method for grapevines (V. vinifera). Front. Plant Sci. 2022, 13, 1014330. [Google Scholar] [CrossRef]
  152. Sawicki, M.; Rondeau, M.; Courteaux, B.; Rabenoelina, F.; Guerriero, G.; Gomès, E.; Soubigou-Taconnat, L.; Balzergue, S.; Clément, C.; Ait Barka, E.; et al. On a Cold Night: Transcriptomics of Grapevine Flower Unveils Signal Transduction and Impacted Metabolism. Int. J. Mol. Sci. 2019, 20, 1130. [Google Scholar] [CrossRef]
  153. Yang, Y.; Xia, J.; Fang, X.; Jia, H.; Wang, X.; Lin, Y.; Liu, S.; Ge, M.; Pu, Y.; Fang, J.; et al. Drought stress in ‘Shine Muscat’ grapevine: Consequences and a novel mitigation strategy–5-aminolevulinic acid. Front. Plant Sci. 2023, 14, 1129114. [Google Scholar] [CrossRef]
  154. Dal Santo, S.; Zenoni, S.; Sandri, M.; De Lorenzis, G.; Magris, G.; De Paoli, E.; Di Gaspero, G.; Del Fabbro, C.; Morgante, M.; Brancadoro, L.; et al. Grapevine field experiments reveal the contribution of genotype, the influence of environment and the effect of their interaction (G×E) on the berry transcriptome. Plant J. 2018, 93, 1143–1159. [Google Scholar] [CrossRef]
  155. Valenzuela, A.V.; Navarro-Paya, D.; Santiago, A.; Sonego, P.; Gainza-Cortes, F.; Malnoy, M.; Matus, J.T. Developing the Grapevine Hydric Stress Atlas: A Meta-Analysis Resource for Exploring transcriptome Responses to Drought. bioRxiv 2025. [Google Scholar] [CrossRef]
  156. Guarino, F.; Cicatelli, A.; Castiglione, S.; Agius, D.R.; Orhun, G.E.; Fragkostefanakis, S.; Leclercq, J.; Dobránszki, J.; Kaiserli, E.; Lieberman-Lazarovich, M.; et al. An Epigenetic Alphabet of Crop Adaptation to Climate Change. Front. Genet. 2022, 13, 818727. [Google Scholar] [CrossRef] [PubMed]
  157. Venios, X.; Gkizi, D.; Nisiotou, A.; Korkas, E.; Tjamos, S.; Zamioudis, C.; Banilas, G. Emerging Roles of Epigenetics in Grapevine and Winegrowing. Plants 2024, 13, 515. [Google Scholar] [CrossRef] [PubMed]
  158. Dubrovina, A.S.; Kiselev, K.V.; Khristenko, V.S.; Aleynova, O.A. VaCPK20, a calcium-dependent protein kinase gene of wild grapevine Vitis amurensis Rupr., mediates cold and drought stress tolerance. J. Plant Physiol. 2015, 185, 1–12. [Google Scholar] [CrossRef]
  159. Bhadouriya, S.L.; Mehrotra, S.; Basantani, M.K.; Loake, G.J.; Mehrotra, R. Role of Chromatin Architecture in Plant Stress Responses: An Update. Front. Plant Sci. 2021, 11, 603380. [Google Scholar] [CrossRef]
  160. Ashapkin, V.V.; Kutueva, L.I.; Aleksandrushkina, N.I.; Vanyushin, B.F. Epigenetic Mechanisms of Plant Adaptation to Biotic and Abiotic Stresses. Int. J. Mol. Sci. 2020, 21, 7457. [Google Scholar] [CrossRef]
  161. Lämke, J.; Bäurle, I. Epigenetic and chromatin-based mechanisms in environmental stress adaptation and stress memory in plants. Genome Biol. 2017, 18, 124. [Google Scholar] [CrossRef]
  162. Rodriguez-Izquierdo, A.; Carrasco, D.; Anand, L.; Magnani, R.; Catarecha, P.; Arroyo-Garcia, R.; Rodriguez Lopez, C.M. Epigenetic differences between wild and cultivated grapevines highlight the contribution of DNA methylation during crop domestication. BMC Plant Biol. 2024, 24, 504. [Google Scholar] [CrossRef]
  163. Matzke, M.A.; Mosher, R.A. RNA-directed DNA methylation: An epigenetic pathway of increasing complexity. Nat. Rev. Genet. 2014, 15, 394–408. [Google Scholar] [CrossRef]
  164. Roy, S.; Soni, P. Unraveling the Epigenetic Landscape for Salt Tolerance in Plants. Int. J. Plant Biol. 2022, 13, 443–462. [Google Scholar] [CrossRef]
  165. Asensi-Fabado, M.-A.; Amtmann, A.; Perrella, G. Plant responses to abiotic stress: The chromatin context of transcriptional regulation. Biochim. Biophys. Acta (BBA)—Gene Regul. Mech. 2017, 1860, 106–122. [Google Scholar] [CrossRef]
  166. Berger, M.M.J.; Stammitti, L.; Carrillo, N.; Blancquaert, E.; Rubio, B.; Teyssier, E.; Gallusci, P. Epigenetics: An innovative lever for grapevine breeding in times of climatic changes: This article is published in cooperation with the 22nd GiESCO International Meeting, hosted by Cornell University in Ithaca, NY, July 17–21, 2023. OENO One 2023, 57, 265–282. [Google Scholar] [CrossRef]
  167. Chinnusamy, V.; Zhu, J.-K. Epigenetic regulation of stress responses in plants. Curr. Opin. Plant Biol. 2009, 12, 133–139. [Google Scholar] [CrossRef]
  168. Kim, J.-M.; Sasaki, T.; Ueda, M.; Sako, K.; Seki, M. Chromatin changes in response to drought, salinity, heat, and cold stresses in plants. Front. Plant Sci. 2015, 6, 114. [Google Scholar] [CrossRef]
  169. Dal Santo, S.; De Paoli, E.; Pagliarani, C.; Amato, A.; Celii, M.; Boccacci, P.; Zenoni, S.; Gambino, G.; Perrone, I. Stress responses and epigenomic instability mark the loss of somatic embryogenesis competence in grapevine. Plant Physiol. 2022, 188, 490–508. [Google Scholar] [CrossRef]
  170. Tan, J.W.; Rodríguez López, C.M. Epigenomics: A new tool for the generation of climate resilient grapevines. Front. Hortic. 2023, 2, 1116866. [Google Scholar] [CrossRef]
  171. Pereira, J.P.; Bevilacqua, I.; Santos, R.B.; Varotto, S.; Chitarra, W.; Nerva, L.; Figueiredo, A. Epigenetic regulation and beyond in grapevine-pathogen interactions: A biotechnological perspective. Physiol. Plant. 2025, 177, e70216. [Google Scholar] [CrossRef]
  172. Mladenov, V.; Fotopoulos, V.; Kaiserli, E.; Karalija, E.; Maury, S.; Baranek, M.; Segal, N.; Testillano, P.; Vassileva, V.; Pinto, G.; et al. Deciphering the Epigenetic Alphabet Involved in Transgenerational Stress Memory in Crops. Int. J. Mol. Sci. 2021, 22, 7118. [Google Scholar] [CrossRef]
  173. Roy, S.; Mishra, M.; Dhankher, O.P.; Singla-Pareek, S.L.; Pareek, A. Molecular Chaperones: Key Players of Abiotic Stress Response in Plants. In Genetic Enhancement of Crops for Tolerance to Abiotic Stress: Mechanisms and Approaches, Vol. I; Springer: Cham, Switzerland, 2019; pp. 125–165. [Google Scholar] [CrossRef]
  174. Xie, H.; Konate, M.; Sai, N.; Tesfamicael, K.G.; Cavagnaro, T.; Gilliham, M.; Breen, J.; Metcalfe, A.; Stephen, J.R.; De Bei, R.; et al. Global DNA Methylation Patterns Can Play a Role in Defining Terroir in Grapevine (Vitis vinifera cv. Shiraz). Front. Plant Sci. 2017, 8, 1860. [Google Scholar] [CrossRef] [PubMed]
  175. Schwope, R.; Magris, G.; Miculan, M.; Paparelli, E.; Celii, M.; Tocci, A.; Marroni, F.; Fornasiero, A.; De Paoli, E.; Morgante, M. Open chromatin in grapevine marks candidate CREs and with other chromatin features correlates with gene expression. Plant J. 2021, 107, 1631–1647. [Google Scholar] [CrossRef] [PubMed]
  176. Araujo, F.; Williams, L.E.; Matthews, M.A. A comparative study of young ‘Thompson Seedless’ grapevines (Vitis vinifera L.) under drip and furrow irrigation. II. Growth, water use efficiency and nitrogen partitioning. Sci. Hortic. 1995, 60, 251–265. [Google Scholar] [CrossRef]
  177. Ollat, N.; Bordenave, L.; Tandonnet, J.P.; Boursiquot, J.M.; Marguerit, E. Grapevine rootstocks: Origins and perspectives. Acta Hortic. 2016, 1136, 11–22. [Google Scholar] [CrossRef]
  178. Cifre, J.; Bota, J.; Escalona, J.M.; Medrano, H.; Flexas, J. Physiological tools for irrigation scheduling in grapevine (Vitis vinifera L.). Agric. Ecosyst. Environ. 2005, 106, 159–170. [Google Scholar] [CrossRef]
  179. Droulia, F.; Charalampopoulos, I. Future Climate Change Impacts on European Viticulture: A Review on Recent Scientific Advances. Atmosphere 2021, 12, 495. [Google Scholar] [CrossRef]
  180. Medrano, H.; Tomás, M.; Martorell, S.; Escalona, J.-M.; Pou, A.; Fuentes, S.; Flexas, J.; Bota, J. Improving water use efficiency of vineyards in semi-arid regions. A review. Agron. Sustain. Dev. 2015, 35, 499–517. [Google Scholar] [CrossRef]
  181. Gambetta, G.A.; Herrera, J.C.; Dayer, S.; Feng, Q.; Hochberg, U.; Castellarin, S.D. The physiology of drought stress in grapevine: Towards an integrative definition of drought tolerance. J. Exp. Bot. 2020, 71, 4658–4676. [Google Scholar] [CrossRef]
  182. Palliotti, A.; Tombesi, S.; Silvestroni, O.; Lanari, V.; Gatti, M.; Poni, S. Changes in vineyard establishment and canopy management urged by earlier climate-related grape ripening: A review. Sci. Hortic. 2014, 178, 43–54. [Google Scholar] [CrossRef]
  183. Van Leeuwen, C.; Darriet, P. The Impact of Climate Change on Viticulture and Wine Quality. J. Wine Econ. 2016, 11, 150–167. [Google Scholar] [CrossRef]
  184. Hunter, J.J.; Volschenk, C.G.; Zorer, R. Vineyard row orientation of Vitis vinifera L. cv. Shiraz/101-14 Mgt: Climatic profiles and vine physiological status. Agric. For. Meteorol. 2016, 228, 104–119. [Google Scholar] [CrossRef]
  185. Cantu, D.; Massonnet, M.; Cochetel, N. The wild side of grape genomics. Trends Genet. 2024, 40, 601–612. [Google Scholar] [CrossRef]
Figure 1. Navigating stress factors of grapevine resilience, a schematic overview. Biodiversity, domestication, environmental stress, and epigenetic memory collectively shape grapevine adaptation, while omics data reveal the intricate biological processes that determine its resilience to unfavorable conditions.
Figure 1. Navigating stress factors of grapevine resilience, a schematic overview. Biodiversity, domestication, environmental stress, and epigenetic memory collectively shape grapevine adaptation, while omics data reveal the intricate biological processes that determine its resilience to unfavorable conditions.
Ijms 26 07877 g001
Figure 2. Grapevine evolution, domestication, and diversity. The timeline illustrates the evolutionary origin of wild grapevines during the Neogene and Paleogene periods (~66–2.58 million years ago) as revealed by fossil evidence. Early domestication of Vitis vinifera began around 9000 BC in Western Asia and the South Caucasus, coinciding with significant post-glacial climate fluctuations that influenced grapevine adaptation and human migration. Multiple domestication events and gene flow occurred during the Neolithic, facilitating the spread of cultivation into the Mediterranean Basin and beyond. During the medieval period, European monastic networks preserved and diversified grapevine varieties, enhancing resilience to environmental changes. The 19th-century Phylloxera infestation led to hybridization with North American species, resulting in pest-resistant hybrids. Recent advances in genetic tools such as CRISPR have renewed interest in hybrids to promote sustainable viticulture and improve stress tolerance under climate change.
Figure 2. Grapevine evolution, domestication, and diversity. The timeline illustrates the evolutionary origin of wild grapevines during the Neogene and Paleogene periods (~66–2.58 million years ago) as revealed by fossil evidence. Early domestication of Vitis vinifera began around 9000 BC in Western Asia and the South Caucasus, coinciding with significant post-glacial climate fluctuations that influenced grapevine adaptation and human migration. Multiple domestication events and gene flow occurred during the Neolithic, facilitating the spread of cultivation into the Mediterranean Basin and beyond. During the medieval period, European monastic networks preserved and diversified grapevine varieties, enhancing resilience to environmental changes. The 19th-century Phylloxera infestation led to hybridization with North American species, resulting in pest-resistant hybrids. Recent advances in genetic tools such as CRISPR have renewed interest in hybrids to promote sustainable viticulture and improve stress tolerance under climate change.
Ijms 26 07877 g002
Table 1. Grapevine stress responses: impact, mechanisms, and key genes.
Table 1. Grapevine stress responses: impact, mechanisms, and key genes.
Stress TypeAffected RegionsSeverity and ImpactMorphological ChangesBiochemical ResponsesMolecular MechanismsKey Genes and Known Mechanisms
Heat stressMediterranean, California, AustraliaUp to 30% yield loss in extreme heat years [84].Accelerated phenology, smaller berries, leaf senescence, reduced shoot growth [85,86,87,88]Increased abscisic acid, elevated flavonoid synthesis [89]Activation of heat shock proteins and MAP kinase pathways counteract protein denaturation [90]Heat Shock Proteins (HSP70, HSP90, HSF1, APX1), MAP kinase pathways [90]
DroughtSouthern Europe, Chile, South Africa20–40% reduction in grapevine vigor and berry size [91].Reduced shoot growth, smaller berries [85,86,87,88]Increased ABA induces stomatal closure [89]ABA-responsive elements trigger drought-responsive genes [92]VvNCED1, VvDREB1/2—ABA synthesis, VvGRIK1, VvRFS2, VvLKR drought-responsive genes [92,93,94]
Cold stressCanada, Eastern Europe50–100% bud mortality during severe frost events [95]Bud necrosis, shoot dieback [95,96]Accumulated proline and soluble sugars protecting cells against freezing [97]ICE1-CBF-COR cascade regulates cold-responsive genes, enhancing freezing tolerance [98]VvCBF4, VvICE1—ICE1-CBF-COR cascade, enhancing freezing tolerance [98]
UV radiationArid
regions, coastal vineyards
Impaired photosynthesis, enhanced flavonoid synthesis [81]Leaf bronzing, cuticle thickening [81]Enhanced production of UV-absorbing compounds like anthocyanins and flavonols [81]ROS scavenging pathways, involving superoxide dismutase and catalase, mitigate oxidative damage [81]VvMYB4—UV shielding and antioxidant defenses [81]
Soil
salinity
Coastal vineyards, irrigated areasDisrupted ion homeostasis, osmotic stress [99]Reduced growth, leaf chlorosis [100]Increased ABA for stomatal regulation [101]Ion homeostasis mechanisms reduce salt toxicity [100]VvNHX1—Ion transport, maintaining osmotic balance [102]
Spring frostNorthern Europe, Canada, USASevere bud damage and yield loss in early-budding grapevines [78]Bud necrosis, shoot dieback [79]Increased soluble sugars to lower freezing point [79]ICE1-CBF-COR pathway activation protects cellular structures [98]VvCBF2, VvCBF3—Frost tolerance via cold-responsive gene activation [98]
Water deficitMediterranean, California, AustraliaReduction in yield by 20–50%, smaller berries, reduced canopy growth [103]Decreased leaf area, reduced shoot growth, and smaller berries [85,86,87,88]Increased ABA, enhanced flavonoid synthesis [91]Upregulation of drought-responsive genes, enhanced expression of dehydration-responsive elements [92]VvNCED1, VvDREB2—ABA synthesis, drought-responsive genes [92]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Konecny, T.; Asatryan, A.; Binder, H. Responding to Stress: Diversity and Resilience of Grapevine in a Changing Climate Under the Perspective of Omics Research. Int. J. Mol. Sci. 2025, 26, 7877. https://doi.org/10.3390/ijms26167877

AMA Style

Konecny T, Asatryan A, Binder H. Responding to Stress: Diversity and Resilience of Grapevine in a Changing Climate Under the Perspective of Omics Research. International Journal of Molecular Sciences. 2025; 26(16):7877. https://doi.org/10.3390/ijms26167877

Chicago/Turabian Style

Konecny, Tomas, Armine Asatryan, and Hans Binder. 2025. "Responding to Stress: Diversity and Resilience of Grapevine in a Changing Climate Under the Perspective of Omics Research" International Journal of Molecular Sciences 26, no. 16: 7877. https://doi.org/10.3390/ijms26167877

APA Style

Konecny, T., Asatryan, A., & Binder, H. (2025). Responding to Stress: Diversity and Resilience of Grapevine in a Changing Climate Under the Perspective of Omics Research. International Journal of Molecular Sciences, 26(16), 7877. https://doi.org/10.3390/ijms26167877

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop