ArticleBMC plant biology2022
Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet.
Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 25 citations in OpenAlex.
- Integrated Structural, Physiological, and Molecular Assessment of Sugar Beet Infested byAntioxidants (Basel, Switzerland) · 2026Article
- Integrated transcriptomic and metabolomic analyses reveal the molecular mechanisms of sugar accumulation and yield trade-off in sugar beet.Frontiers in plant science · 2026Article
- Advances in Beet (Plants (Basel, Switzerland) · 2025Review
- Root Microbiome and Metabolome Traits Associated with Improved Post-Harvest Root Storage for Sugar Beet Breeding Lines Under Southern Idaho Conditions.International journal of molecular sciences · 2024Article
- Unraveling genotypic interactions in sugar beet for enhanced yield stability and trait associations.Scientific reports · 2024Article
- Evaluation of the Impact of an Enzymatic Preparation Catalyzing the Decomposition of Raffinose from Poor-Quality Beets during the White Sugar Production Process.Molecules (Basel, Switzerland) · 2024Article
- Holomics - a user-friendly R shiny application for multi-omics data integration and analysis.BMC bioinformatics · 2024Article
- Genotype by environment and genotype by yield*trait interactions in sugar beet: analyzing yield stability and determining key traits association.Scientific reports · 2024Article
- Transcriptomic and metabolomic changes in postharvest sugarbeet roots reveal widespread metabolic changes in storage and identify genes potentially responsible for respiratory sucrose loss.Frontiers in plant science · 2024Article
- Structure-function relation of cytokinins determines their differential efficiency in mediating tobacco resistance against Pseudomonas syringae.Physiologia plantarumArticle
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSugar beet is an important crop for sugar production. Sugar beet roots are stored up to several weeks post-harvest waiting for processing in the sugar factories. During this time, sucrose loss and invert sugar accumulation decreases the final yield and processing quality. To improve storability, more information about post-harvest metabolism is required. We investigated primary and secondary metabolites of six sugar beet varieties during storage. Based on their variety-specific sucrose loss, three storage classes representing well, moderate, and bad storability were compared. Furthermore, metabolic data were visualized together with transcriptome data to identify potential mechanisms involved in the storage process.
resultsWe found that sugar beet varieties that performed well during storage have higher pools of 15 free amino acids which were already observable at harvest. This storage class-specific feature is visible at harvest as well as after 13 weeks of storage. The profile of most of the detected organic acids and semi-polar metabolites changed during storage. Only pyroglutamic acid and two semi-polar metabolites, including ferulic acid, show higher levels in well storable varieties before and/or after 13 weeks of storage. The combinatorial OMICs approach revealed that well storable varieties had increased downregulation of genes involved in amino acid degradation before and after 13 weeks of storage. Furthermore, we found that most of the differentially genes involved in protein degradation were downregulated in well storable varieties at both timepoints, before and after 13 weeks of storage.
conclusionsOur results indicate that increased levels of 15 free amino acids, pyroglutamic acid and two semi-polar compounds, including ferulic acid, were associated with a better storability of sugar beet taproots. Predictive metabolic patterns were already apparent at harvest. With respect to elongated storage, we highlighted the role of free amino acids in the taproot. Using complementary transcriptomic data, we could identify potential underlying mechanisms of sugar beet storability. These include the downregulation of genes for amino acid degradation and metabolism as well as a suppressed proteolysis in the well storable varieties.
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