Evidence map›Paper›PMID 31612374›Full record

ArticleGenes & genomics2020

Identification of source-sink tissues in the leaf of Chinese cabbage (Brassica rapa ssp. pekinensis) by carbohydrate content and transcriptomic analysis.

Jeongyeo Lee, Xiangshu Dong, Kwan Choi, Hayong Song, Hankuil Yi, Yoonkang Hur

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Article in Genes & genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. Article
  2. Variations of Major Glucosinolates in Diverse Chinese Cabbage (International journal of molecular sciences · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Metabolite Profiling ofPlants (Basel, Switzerland) · 2021
    Article
  8. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jeongyeo LeeDepartment of Biological Sciences, Chungnam National University, Daejeon, 34134, Republic of Korea.
Xiangshu DongDepartment of Biological Sciences, Chungnam National University, Daejeon, 34134, Republic of Korea.
Kwan ChoiDepartment of Biological Sciences, Chungnam National University, Daejeon, 34134, Republic of Korea.
Hayong SongDepartment of Biological Sciences, Chungnam National University, Daejeon, 34134, Republic of Korea.
Hankuil YiDepartment of Biological Sciences, Chungnam National University, Daejeon, 34134, Republic of Korea.
Yoonkang HurDepartment of Biological Sciences, Chungnam National University, Daejeon, 34134, Republic of Korea. ykhur@cnu.ac.kr.ORCID 0000-0002-2325-2249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA leaf of Chinese cabbage (Brassica rapa ssp. pekinensis) is composed of a photosynthetic blade and a non-photosynthetic large midrib; thus each leaf contains both source and sink tissues. This structure suggests that, unlike in other plants, source-sink metabolism is present in a single leaf of Chinese cabbage.

objectiveThis study was designed to identify the transport route of photosynthetic carbon and to determine whether both source and sink tissues were present in a leaf.

methodsPlant samples were collected diurnally. Their carbohydrate contents were measured, and a genome-wide transcriptome analysis was performed using the Br300K microarray. Expression profiles of selected genes were validated using qRT-PCR analysis.

resultsThe presence of two contrasting tissues (blade as source and midrib as sink) in a leaf was demonstrated by (1) diurnal distribution patterns of starch and sucrose content; (2) Gene Ontology (GO) enrichment analysis of microarray data; (3) expression profiles of photosynthetic and sucrose biosynthetic genes; and (4) expression patterns of a variety of sugar transporter genes.

conclusionSource and sink tissues were both present in Chinese cabbage leaves, but the midrib functioned as a sink tissue as well as a site exporting to roots and other sink tissues. Function of most genes discriminating between source and sink tissue appeared to be regulated largely at the post-transcriptional level, not at the transcriptional level.

Indexed as

Gene Expression Regulation, PlantTranscriptomeBrassica rapaCarbohydratesChinaGene Expression ProfilingPhotosynthesisPlant LeavesPlant ProteinsCarbohydratesPlant ProteinsBr300K microarrayCarbohydrate contentLarge midribPhotosynthetic genesSugar transporters

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Registered trials

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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 Socratic graph.