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Transcriptome and Metabolome Insights into Grape Storage

Shine Muscat Grapes: Flavor, Quality, and Storage Challenges

Grapes are one of the most widely cultivated and cherished fruits globally, prized for their sweetness, versatility, and nutritional benefits. Belonging to the genus Vitis, grapes are consumed fresh, dried as raisins, or processed into products such as wine, juice, and jelly. They are rich in vitamins, minerals, and antioxidants, making them a valuable addition to a healthy diet. Among the numerous grape varieties, the 'Shine Muscat' cultivar has gained notable popularity. Originating from Japan, Shine Muscat is renowned for its large, seedless berries, crisp texture, and exquisite muscat flavor. Unlike many other grape varieties, Shine Muscat grapes can be eaten whole, including the skin, which is thin and sweet, adding to the overall sensory experience. This unique cultivar is celebrated for its striking appearance, vibrant green color, and long shelf life, making it a favorite in both domestic and international markets.

 

The storage and preservation of grapes, including the Shine Muscat variety, are critical for maintaining their quality and extending their marketability. Grapes are sensitive to temperature and humidity changes, which can lead to deterioration in flavor, texture, and nutritional value. Effective storage strategies are essential to prevent spoilage, reduce post-harvest losses, and ensure that consumers receive the best possible product. Advanced storage techniques often involve controlled atmosphere storage, cold storage, and the use of preservatives to inhibit microbial growth and oxidative damage.

 

Integrating Transcriptomics and Metabolomics: A Holistic Approach

In the field of systems biology, understanding the complex interactions within living organisms requires comprehensive analysis at multiple levels. Two key areas of focus are the transcriptome and the metabolome, which together provide a detailed view of cellular function and regulation.

 

The transcriptome refers to the complete set of RNA transcripts produced by the genome at any given time. This includes mRNA, rRNA, tRNA, and other non-coding RNAs. Transcriptomics, the study of the transcriptome, helps researchers understand gene expression patterns and how they change in response to various conditions, such as environmental stresses, disease states, or developmental stages. Techniques like RNA sequencing (RNA-seq) allow for the quantification and characterization of these RNA molecules, providing insights into gene regulation, splicing variants, and the functional roles of genes. The metabolome encompasses the full spectrum of metabolites—small molecules such as sugars, amino acids, lipids, and nucleotides—present within a biological sample. Metabolomics, the study of the metabolome, offers a snapshot of the metabolic state of an organism, tissue, or cell. This field focuses on identifying and quantifying these metabolites, providing critical information on the biochemical processes and pathways active at a given time. Techniques such as mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy are commonly used for metabolomic analysis, enabling the detection of a wide range of metabolites and revealing the effects of genetic, environmental, or physiological changes.

 

Integrating transcriptomic and metabolomic data, often referred to as joint or multi-omics analysis, allows for a more holistic understanding of biological systems. This combined approach helps to bridge the gap between gene expression and metabolic activity, linking changes at the molecular level to functional outcomes. By correlating RNA expression data with metabolite levels, researchers can identify regulatory mechanisms, uncover novel biomarkers, and gain insights into the dynamic interplay between the genome, transcriptome, and metabolome. This integrative analysis is particularly valuable in understanding complex traits, disease mechanisms, and responses to environmental changes, providing a more comprehensive view of the underlying biology.

 

Unraveling Storage Mechanisms through Multi-Omics Analyses

Understanding the mechanisms of grape storage, particularly through cutting-edge research methods like transcriptome and metabolome analyses, provides deeper insights into the physiological changes that occur during storage. These studies help identify key genes and metabolic pathways involved in maintaining grape quality, paving the way for improved storage practices and the development of new grape varieties with enhanced shelf life and quality attributes.

 

Morphology (A), Berry drop rate (B), Berry decay rate (C), Rachis browning index (D) of differently treated ‘Shine Muscat’ grapesRecently, a research paper titled “Metabolome and Transcriptome Analyses Provide Insight into the Effect of 1-MCP and SO2 Preservatives on the Synthesis and Regulation of Phenols in 'Shine Muscat' Storage Grapes” (article resource) explored the impact of two preservatives, 1-MCP and SO2, on the metabolism of phenolic compounds during grape storage. The study utilized a combined approach of transcriptomics and widely-targeted metabolomics to gain deeper insights into these effects.

 

The research initially found that preservative treatments could inhibit gray mold infection during storage, with 1-MCP proving more effective than SO2 in preventing berry drop and decay. Using widely-targeted metabolomics analysis, the study identified a total of 976 annotated metabolites from 'Shine Muscat' grape samples, with 446 differentially regulated metabolites. This indicates significant metabolic changes in grapes after 13 weeks of storage, with most metabolites being upregulated. The changes in metabolites treated with different preservatives were not synchronized at different stages of storage.

Widely targeted metabolomic analyses and differently regulated metabolites (DRMs) analyses of 27 samples of ‘Shine Muscat’ grapes.

 

Subsequently, the authors used KEGG Markup Language (KGML) analysis to establish a network of gene products and metabolites, facilitating a systematic study of interactions between the transcriptome and metabolome. The results revealed that differentially expressed genes related to the phenylpropanoid pathway shifted from being mostly upregulated to downregulated during storage under both 1-MCP and SO2 treatments compared to the control. Phenolic compounds, including stilbenes, phenolic acids, flavonols, flavan-3-ols, and anthocyanins, are synthesized via this pathway.

 

Weighted gene co-expression network analysis (WGCNA) of DEGs among different grape samplesFinally, the authors explored the mechanisms of differential accumulation of phenolic compounds under different storage methods through transcriptomic analysis and weighted gene co-expression network analysis (WGCNA). The study found that both 1-MCP and SO2 inhibit the synthesis of phenolic acids, stilbenes, and some flavonoids in grapes by downregulating enzyme genes upstream of the phenylpropanoid metabolic pathway. These findings offer new insights into the effects of different preservatives on phenol metabolism in table grapes during storage and lay a foundation for future research on postharvest grape preservation mechanisms.

 

MetwareBio: Leading the Way in Multi-Omics Research

MetwareBio had offered the widely-targeted metabolomics for this research. MetwareBio is a multiomics CRO focusing on developing and applying innovative multiomics technologies to life science and health research. With a dedicated commitment to data quality and a nuanced understanding of the unique nature of each project, MetwareBio offers tailored metabolomics, proteomics and multi-omics combination analyses services to suit diverse needs. Whether it's small-scale endeavors or large population studies, our workflows are adept at accommodating varying sample sizes and project scopes. Our extensive experience, reflected in over 20,000 completed projects, underscores our proficiency in delivering reliable results. At MetwareBio, we prioritize collaboration, guiding researchers from sample extraction to data analysis to ensure their research goals are met with precision and efficiency. Please don't hesitate to reach out if you have any requirements or inquiries!

WHAT'S NEXT IN OMICS: THE METABOLOME

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