Evidence map›Paper›PMID 40229666›Full record

ArticleBMC plant biology2025

Integrated metabolome analysis and transcript profiles revealed a potential role of SWEETs in sugar accumulation during Carrot taproot development.

Guanglong Wang, Yujie Xu, Jiaqi Wu, Yangyang Chen, Yahong An, Zhenzhu Hu, Aisheng Xiong

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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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

7 authors.

Guanglong WangSchool of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003, China. 11160021@hyit.edu.cn.
Yujie XuSchool of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003, China.
Jiaqi WuSchool of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003, China.
Yangyang ChenSchool of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003, China.
Yahong AnSchool of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003, China.
Zhenzhu HuSchool of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, 223003, China.
Aisheng XiongState Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China. xiongaisheng@njau.edu.cn.

Funding

National Natural Science Foundation of China 32102369, 32372681Natural Science Foundation of Jiangsu Province BK20211366
6 · The paper itself

Abstract

backgroundCarrot is a root vegetable abundant in numerous nutritional values. Sugar is one of the most important carbohydrates in horticultural products that play important roles in plant growth and development and response to biotic and abiotic stresses. However, the dynamics of the metabolites including sugar during carrot root development still remain unclear. Here, the differential metabolites in carrot roots at different developmental stages were measured using an UPLC-ESI-MS/MS system. The accumulation profiles of metabolites, especially sugars, as well as the transcript patterns of Sugars Will Eventually be Exported Transporter (SWEET) genes were intensively examined.

resultsThe results identified 727 metabolites over all the samples detected, of which, 539 metabolites were found to be differential accumulated. A total of 34 differentially accumulated sugar metabolites were identified over the period of root development. Furthermore, 17 DcSWEET genes were detected to be specifically expressed in the roots, indicating a potential for root enlargement and sugar accumulation in carrot root.

conclusionsThe results from the current study would help carrot breeding focused on yield and quality improvement.

Indexed as

Daucus carotaMetabolomePlant ProteinsPlant RootsSugarsCarbohydrate MetabolismGene Expression ProfilingGene Expression Regulation, PlantTranscriptomePlant ProteinsSugarsDaucus carotaMetabolitesRoot developmentSugar accumulationSWEETTranscript profiles

Identifiers

PMID40229666
PMCPMC11998203

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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.