Evidence map›Paper›PMID 32754876›Full record

ArticlePlant molecular biology2020

Integrative transcriptomics reveals genotypic impact on sugar beet storability.

Silvia Madritsch, Svenja Bomers, Alexandra Posekany, Agnes Burg, Rebekka Birke, Florian Emerstorfer, Reinhard Turetschek, Sandra Otte, Herbert Eigner, Eva M Sehr

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Plant molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Silvia MadritschAIT Austrian Institute of Technology, Center for Health & Bioresources, Tulln, Austria.ORCID http://orcid.org/0000-0002-4995-7351
Svenja BomersAIT Austrian Institute of Technology, Center for Health & Bioresources, Tulln, Austria.
Alexandra PosekanyUniversity of Technology Vienna, Research Unit of Computational Statistics, Vienna, Austria.
Agnes BurgAIT Austrian Institute of Technology, Center for Health & Bioresources, Tulln, Austria.
Rebekka BirkeAGRANA Research & Innovation Center GmbH, Tulln, Austria.
Florian EmerstorferAGRANA Research & Innovation Center GmbH, Tulln, Austria.ORCID http://orcid.org/0000-0002-3687-4784
Reinhard TuretschekAGRANA Research & Innovation Center GmbH, Tulln, Austria.ORCID http://orcid.org/0000-0002-4544-3169
Sandra OtteStrube Research GmbH & Co. KG, Söllingen, Germany.
Herbert EignerAGRANA Research & Innovation Center GmbH, Tulln, Austria.
Eva M SehrAIT Austrian Institute of Technology, Center for Health & Bioresources, Tulln, Austria. eva-maria.sehr@ait.ac.at.ORCID http://orcid.org/0000-0001-6590-7509
Austrian Institute of Technology · AT

Funding

Österreichische Forschungsförderungsgesellschaft 855706
6 · The paper itself

Abstract

key messageAn integrative comparative transcriptomic approach on six sugar beet varieties showing different amount of sucrose loss during storage revealed genotype-specific main driver genes and pathways characterizing storability. Sugar beet is next to sugar cane one of the most important sugar crops accounting for about 15% of the sucrose produced worldwide. Since its processing is increasingly centralized, storage of beet roots over an extended time has become necessary. Sucrose loss during storage is a major concern for the sugar industry because the accumulation of invert sugar and byproducts severely affect sucrose manufacturing. This loss is mainly due to ongoing respiration, but changes in cell wall composition and pathogen infestation also contribute. While some varieties can cope better during storage, the underlying molecular mechanisms are currently undiscovered. We applied integrative transcriptomics on six varieties exhibiting different levels of sucrose loss during storage. Already prior to storage, well storable varieties were characterized by a higher number of parenchyma cells, a smaller cell area, and a thinner periderm. Supporting these findings, transcriptomics identified changes in genes involved in cell wall modifications. After 13 weeks of storage, over 900 differentially expressed genes were detected between well and badly storable varieties, mainly in the category of defense response but also in carbohydrate metabolism and the phenylpropanoid pathway. These findings were confirmed by gene co-expression network analysis where hub genes were identified as main drivers of invert sugar accumulation and sucrose loss. Our data provide insight into transcriptional changes in sugar beet roots during storage resulting in the characterization of key pathways and hub genes that might be further used as markers to improve pathogen resistance and storage properties.

Indexed as

Food StorageBeta vulgarisGene Expression ProfilingGene Expression Regulation, PlantLigninPlant ProteinsPlant RootsSucroseSugarsLigninPlant ProteinsSucroseSugarsAnatomyPost-harvest storageStorabilitySugar analyticsSugar beetTranscriptomics

Identifiers

PMID32754876
PMCPMC7593311
OpenAlexW3047309423

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.