Evidence map›Paper›PMID 31427711›Full record

ArticleScientific reports2019

iTRAQ-based quantitative analysis reveals proteomic changes in Chinese cabbage (Brassica rapa L.) in response to Plasmodiophora brassicae infection.

Mei Lan, Guoliang Li, Jingfeng Hu, Hongli Yang, Liqin Zhang, Xuezhong Xu, Jiajia Liu, Jiangming He, Rifei Sun

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.8field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Advanced breeding techniques inPlant signaling & behavior · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. ExploitingPlants (Basel, Switzerland) · 2024
    Review
  6. Review
  7. Review
  8. What Can We Learn from -Omics Approaches to Understand Clubroot Disease?International journal of molecular sciences · 2022
    Review
  9. A Proteome-Level Investigation IntoFrontiers in plant science · 2022
    Article
  10. MiR1885 Regulates Disease Tolerance Genes inInternational journal of molecular sciences · 2021
    Article
  11. Understanding Host-Pathogen Interactions inPlants (Basel, Switzerland) · 2020
    Review
  12. Review
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Mei LanInstitute of Horticultural Crops, Yunnan Academy of Agricultural Sciences, Yunnan Branch of the National Vegetable Improvement Center, Kunming, 650205, China.
Guoliang LiInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, Nandajie No. 12, Haidian District, Beijing, 100081, China.
Jingfeng HuInstitute of Horticultural Crops, Yunnan Academy of Agricultural Sciences, Yunnan Branch of the National Vegetable Improvement Center, Kunming, 650205, China.
Hongli YangInstitute of Horticultural Crops, Yunnan Academy of Agricultural Sciences, Yunnan Branch of the National Vegetable Improvement Center, Kunming, 650205, China.
Liqin ZhangInstitute of Horticultural Crops, Yunnan Academy of Agricultural Sciences, Yunnan Branch of the National Vegetable Improvement Center, Kunming, 650205, China.
Xuezhong XuInstitute of Horticultural Crops, Yunnan Academy of Agricultural Sciences, Yunnan Branch of the National Vegetable Improvement Center, Kunming, 650205, China.
Jiajia LiuYunnan University of Chinese Medicine, Kunming, 650500, China.
Jiangming HeInstitute of Horticultural Crops, Yunnan Academy of Agricultural Sciences, Yunnan Branch of the National Vegetable Improvement Center, Kunming, 650205, China. hejiangming666@qq.com.
Rifei SunInstitute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun, Nandajie No. 12, Haidian District, Beijing, 100081, China. sunrifei@caas.cn.
Yunnan Academy of Agricultural Sciences · CNChinese Academy of Agricultural Sciences · CNInstitute of Vegetables and Flowers · CNYunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clubroot disease is one of the major diseases affecting Brassica crops, especially Chinese cabbage (Brassica rapa L. ssp. pekinensis), which is known to be highly susceptible to the disease. In this study, the obligate biotrophic protist Plasmodiophora brassicae Woronin was used to infect the roots of Chinese cabbage seedlings. The disease symptoms were noticeable at 28 and 35 days after inoculation (DAI) in the susceptible (CM) line. Using isobaric tags for relative and absolute quantitation (iTRAQ) analysis, a total of 5,003 proteins of differential abundance were identified in the resistant/susceptible lines, which could be quantitated by dipeptide or polypeptide segments. Gene ontology (GO) analysis indicated that the differentially expressed proteins (DEPs) between the susceptible (CM) and resistant (CCR) lines were associated with the glutathione transferase activity pathway, which could catalyze the combination of glutathione and other electrophilic compounds to protect plants from disease. In addition, the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that the DEPs may be significantly enriched cytokinin signaling or arginine biosynthesis pathways, both of which are responses to stimuli and are plant defense reactions. The cytokinins may facilitate cell division in the shoot, resulting in the hypertrophy and formation of galls and the presentation of typical clubroot symptoms. In this study, the proteomic results provide a new perspective for creating germplasm resistance to P. brassicae, as well as a genetic basis for breeding to improve Chinese cabbage.

Identifiers

PMID31427711
PMCPMC6700187
OpenAlexW2969596142

What Socratic 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 Socratic graph.