Evidence map›Paper›PMID 36076171›Full record

ArticleBMC plant biology2022

Unraveling metabolic patterns and molecular mechanisms underlying storability in sugar beet.

Anna-Lena Gippert, Silvia Madritsch, Patrick Woryna, Sandra Otte, Martina Mayrhofer, Herbert Eigner, Adriana Garibay-Hernández, John C D'Auria, Eva M Molin, Hans-Peter Mock

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Advances in Beet (Plants (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Anna-Lena GippertIPK Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.
Silvia MadritschAIT Austrian Institute of Technology GmbH, Center for Health & Bioresources, Tulln, Austria.
Patrick WorynaAIT Austrian Institute of Technology GmbH, Center for Health & Bioresources, Tulln, Austria.
Sandra OtteStrube Research GmbH & Co. KG, Söllingen, Germany.
Martina MayrhoferAGRANA Research & Innovation Center GmbH, Tulln, Austria.
Herbert EignerAGRANA Research & Innovation Center GmbH, Tulln, Austria.
Adriana Garibay-HernándezIPK Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.
John C D'AuriaIPK Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.
Eva M MolinAIT Austrian Institute of Technology GmbH, Center for Health & Bioresources, Tulln, Austria. Eva-Maria.Molin@ait.ac.at.
Hans-Peter MockIPK Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany. mock@ipk-gatersleben.de.
Leibniz Institute of Plant Genetics and Crop Plant Research · DEAustrian Institute of Technology · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Beta vulgarisPlant RootsPyrrolidonecarboxylic AcidSucroseSugarsPyrrolidonecarboxylic AcidSucroseSugarsIntegrative analysisMetabolomicsMolecular mechanismsStorabilitySugar beetTranscriptomics

Identifiers

PMID36076171
PMCPMC9461268
OpenAlexW4295079789

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.