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6 Publications visible to you, out of a total of 6
Population structure of wild and cultivated grapevines in Armenia

Abstract (Expand)

Background: The South Caucasus region, including Armenia, is recognized as a center of early viticulture, home to the oldest known winery and a rich tradition of winemaking. Armenia's topography … has contributed to the preservation of genetically diverse grapevine populations. Cultivated grapevines (Vitis vinifera ssp. vinifera or V.V. ssp. vinifera) and their wild ancestor (V. vinifera ssp. sylvestris or V.V. ssp. sylvestris) exhibit high genetic diversity, making them valuable resources for understanding domestication, adaptation, and breeding. Despite Armenia’s historical and economic importance, the genomic diversity of its wild and cultivated grapevines remains underexplored. We re-analyzed whole-genome sequencing data of 164 grapevine accessions from Armenia, including cultivated and wild individuals, taken from a previous study on worldwide collected vine accessions to characterize genomic diversity, population structure, and domestication history of this gene pool. Results: Our analysis uncovered genetic patterns partly unique to Armenia. Population structure analysis revealed a clear genetic separation between wild and cultivated groups and three distinct ancestral components within the cultivated gene pool, reflecting a west-to-east geographical gradient in Armenia. This genetic cline correlates with a shift in usage, from table to wine grapes, and a transition in berry skin color from white to black. Additionally, we identified four distinct subgroups within wild populations in Syunik, suggesting notable diversity. Evolutionary history analysis indicates that wild and cultivated lineages began to separate ~18.5k years ago, with divergence intensifying ~4k years ago under human cultivation. Comparative genomic scans for divergent selection identified genomic regions associated with domestication traits, including disease resistance and biosynthesis of anthocyanin and flavanol. Genome-wide association, including k-mer-based approach studies, uncovered candidate markers linked to agronomic traits, such as berry skin color and bunch density. These results provide genomic resources and highlight targets for grapevine improvement and conservation. Conclusions: This whole-genome study on the genetic diversity of wild and cultivated grapevines from Armenia provides a valuable resource for identifying candidate genes and domestication-related regions associated with agronomic traits. The results underscore the importance of conserving local grapevine diversity in Armenia, a historically significant and genetically rich viticultural region.

Authors: Maria Nikoghosyan, Emma Hovhannisyan, Nate Zadirako, Shengchang Duan, Armine Asatryan, Arsen Arakelyan, Kristine Margaryan, Anush Baloyan, Tomas Konecny, Hans Binder

Date Published: 11th Feb 2026

Publication Type: Journal

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

Abstract (Expand)

hange, 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.

Authors: Tomas Konecny, Armine Asatryan, Hans Binder

Date Published: 15th Aug 2025

Publication Type: Journal

Unveiling Iso- and Aniso-Hydric Disparities in Grapevine-A Reanalysis by Transcriptome Portrayal Machine Learning.

Abstract (Expand)

Mechanisms underlying grapevine responses to water(-deficient) stress (WS) are crucial for viticulture amid escalating climate change challenges. Reanalysis of previous transcriptome data uncovered … disparities among isohydric and anisohydric grapevine cultivars in managing water scarcity. By using a self-organizing map (SOM) transcriptome portrayal, we elucidate specific gene expression trajectories, shedding light on the dynamic interplay of transcriptional programs as stress duration progresses. Functional annotation reveals key pathways involved in drought response, pinpointing potential targets for enhancing drought resilience in grapevine cultivation. Our results indicate distinct gene expression responses, with the isohydric cultivar favoring plant growth and possibly stilbenoid synthesis, while the anisohydric cultivar engages more in stress response and water management mechanisms. Notably, prolonged WS leads to converging stress responses in both cultivars, particularly through the activation of chaperones for stress mitigation. These findings underscore the importance of understanding cultivar-specific WS responses to develop sustainable viticultural strategies in the face of changing climate.

Authors: T. Konecny, A. Asatryan, M. Nikoghosyan, H. Binder

Date Published: 6th Sep 2024

Publication Type: Journal

Wild grapes of Armenia: unexplored source of genetic diversity and disease resistance.

Abstract (Expand)

The present study is the first in-depth research evaluating the genetic diversity and potential resistance of Armenian wild grapes utilizing DNA-based markers to understand the genetic signature of … this unexplored germplasm. In the proposed research, five geographical regions with known viticultural history were explored. A total of 148 unique wild genotypes were collected and included in the study with 48 wild individuals previously collected as seed. A total of 24 nSSR markers were utilized to establish a fingerprint database to infer information on the population genetic diversity and structure. Three nSSR markers linked to the Ren1 locus were analyzed to identify potential resistance against powdery mildew. According to molecular fingerprinting data, the Armenian V. sylvestris gene pool conserves a high genetic diversity, displaying 292 different alleles with 12.167 allele per loci. The clustering analyses and diversity parameters supported eight genetic groups with 5.6% admixed proportion. The study of genetic polymorphism at the Ren1 locus revealed that 28 wild genotypes carried three R-alleles and 34 wild genotypes carried two R-alleles associated with PM resistance among analyzed 107 wild individuals. This gene pool richness represents an immense reservoir of under-explored genetic diversity and breeding potential. Therefore, continued survey and research efforts are crucial for the conservation, sustainable management, and utilization of Armenian wild grape resources in the face of emerging challenges in viticulture.

Authors: K. Margaryan, R. Topfer, B. Gasparyan, A. Arakelyan, O. Trapp, F. Rockel, E. Maul

Date Published: 25th Dec 2023

Publication Type: Journal

Machine learning extracts marks of thiamine's role in cold acclimation in the transcriptome of Vitis vinifera.

Abstract (Expand)

INTRODUCTION: The escalating challenge of climate change has underscored the critical need to understand cold defense mechanisms in cultivated grapevine Vitis vinifera. Temperature variations can affect … the growth and overall health of vine. METHODS: We used Self Organizing Maps machine learning method to analyze gene expression data from leaves of five Vitis vinifera cultivars each treated by four different temperature conditions. The algorithm generated sample-specific "portraits" of the normalized gene expression data, revealing distinct patterns related to the temperature conditions applied. RESULTS: Our analysis unveiled a connection with vitamin B1 (thiamine) biosynthesis, suggesting a link between temperature regulation and thiamine metabolism, in agreement with thiamine related stress response established in Arabidopsis before. Furthermore, we found that epigenetic mechanisms play a crucial role in regulating the expression of stress-responsive genes at low temperatures in grapevines. DISCUSSION: Application of Self Organizing Maps portrayal to vine transcriptomics identified modules of coregulated genes triggered under cold stress. Our machine learning approach provides a promising option for transcriptomics studies in plants.

Authors: T. Konecny, M. Nikoghosyan, H. Binder

Date Published: 21st Dec 2023

Publication Type: Journal

Machine learned-based visualization of the diversity of grapevine genomes worldwide and in Armenia using SOMmelier

Abstract (Expand)

In the proposed study three major issues have been addressed: Firstly, the diversity of grapevine accessions worldwide and particularly in Armenia, a small country located in the largely volcanic … Armenian Highlands, is incredibly rich in cultivated and especially wild grapes; secondly, the information hidden in their (whole) genomes, e.g., about the domestication history of grapevine over the last 11,000 years and phenotypic traits such as cultivar utilization and a putative resistance against powdery mildew, and, thirdly machine learning methods to extract and to visualize this information in an easy to percept way. We shortly describe the Self Origanizing Maps (SOM) portrayal method called “SOMmelier” (as the vine-genome “waiter”) and illustrate its power by applying it to whole genome data of hundreds of grapevine accessions. We also give a short outlook on possible future directions of machine learning in grapevine transcriptomics and ampelogaphy.

Authors: Kristina Magaryan, Maria Nikogհosyan, Anush Baloyan, Hripsime Gasoyan, Emma Hovhannisyan, Levon Galstyan, Tomas Konecny, Arsen Arakelyan, Hans Binder

Date Published: 6th Dec 2023

Publication Type: Journal

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