Evidence map›Paper›PMID 26465156›Full record

ArticlePloS one2015

Overexpression of Three Glucosinolate Biosynthesis Genes in Brassica napus Identifies Enhanced Resistance to Sclerotinia sclerotiorum and Botrytis cinerea.

Yuanyuan Zhang, Dongxin Huai, Qingyong Yang, Yan Cheng, Ming Ma, Daniel J Kliebenstein, Yongming Zhou

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Transgenic Improvement for Biotic Resistance of Crops.International journal of molecular sciences · 2022
    Review
  10. The Characterization of theInternational journal of molecular sciences · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. Overexpression ofFrontiers in plant science · 2021
    Article
  15. Article
  16. Development of TransgenicPlants (Basel, Switzerland) · 2020
    Review
  17. Understanding Host-Pathogen Interactions inPlants (Basel, Switzerland) · 2020
    Review
  18. Article
  19. Article
  20. Article
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.

Yuanyuan ZhangNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Department of Plant Sciences, University of California Davis, One Shield Avenue, Davis, CA 95616, United States of America.
Dongxin HuaiNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Qingyong YangNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Yan ChengNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Ming MaNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Daniel J KliebensteinDepartment of Plant Sciences, University of California Davis, One Shield Avenue, Davis, CA 95616, United States of America; DynaMo Center of Excellence, Copenhagen Plant Science Centre, University of Copenhagen, Thorvaldsensvej 40, DK-1871 Frederiksberg C, Denmark.
Yongming ZhouNational Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sclerotinia sclerotiorum and Botrytis cinerea are notorious plant pathogenic fungi with an extensive host range including Brassica crops. Glucosinolates (GSLs) are an important group of secondary metabolites characteristic of the Brassicales order, whose degradation products are proving to be increasingly important in plant protection. Enhancing the defense effect of GSL and their associated degradation products is an attractive strategy to strengthen the resistance of plants by transgenic approaches. We generated the lines of Brassica napus with three biosynthesis genes involved in GSL metabolic pathway (BnMAM1, BnCYP83A1 and BnUGT74B1), respectively. We then measured the foliar GSLs of each transgenic lines and inoculated them with S. sclerotiorum and B. cinerea. Compared with the wild type control, over-expressing BnUGT74B1 in B. napus increased the aliphatic and indolic GSL levels by 1.7 and 1.5 folds in leaves respectively; while over-expressing BnMAM1 or BnCYP83A1 resulted in an approximate 1.5-fold higher only in the aliphatic GSL level in leaves. The results of plant inoculation demonstrated that BnUGT74B1-overexpressing lines showed less severe disease symptoms and tissue damage compared with the wild type control, but BnMAM1 or BnCYP83A1-overexpressing lines showed no significant difference in comparison to the controls. These results suggest that the resistance to S. sclerotiorum and B. cinerea in B. napus could be enhanced through tailoring the GSL profiles by transgenic approaches or molecular breeding, which provides useful information to assist plant breeders to design improved breeding strategies.

Indexed as

Arabidopsis ProteinsAscomycotaBotrytisBrassica napusCytochrome P-450 Enzyme SystemDisease ResistanceGene Expression Regulation, PlantGenotypeGlucosinolatesGlucosyltransferasesOxo-Acid-LyasesPlant DiseasesPlant LeavesPlants, Genetically ModifiedArabidopsis ProteinsCYP83A1 protein, ArabidopsisCytochrome P-450 Enzyme SystemGlucosinolatesGlucosyltransferasesmethylthioalkylmalate synthase 1Oxo-Acid-LyasesUDP-glucose thiohydroximate S-glucosyltransferase UGT74B1, Arabidopsis

Identifiers

PMID26465156
PMCPMC4605783

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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 OpenQuestion graph.