Evidence map›Paper›PMID 26475327›Full record

ArticleWorld journal of microbiology & biotechnology2015

A ku70 null mutant improves gene targeting frequency in the fungal pathogen Verticillium dahliae.

Xiliang Qi, Xiaofeng Su, Huiming Guo, Juncang Qi, Hongmei Cheng

Abstract read
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In one paragraph

Article in World journal of microbiology & biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.2field-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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. International journal of molecular sciences · 2026
    Article
  3. Review
  4. Article
  5. International journal of molecular sciences · 2020
    Article
  6. Synthesis of the Hydroxamate SiderophoreFrontiers in cellular and infection microbiology · 2020
    Article
  7. Article
  8. Frontiers in plant science · 2017
    Article
  9. Article
  10. Article
  11. Review
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

5 authors at 3 institutions in 1 country.

Xiliang Qi
Xiaofeng Su
Huiming Guo
Juncang Qi
Hongmei Cheng
Biotechnology Research Institute · CNChinese Academy of Agricultural Sciences · CNShihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To overcome the challenges met with gene deletion in the plant pathogen Verticillium dahliae, a mutant strain with impaired non-homologous end joining DNA repair was generated to improve targeted gene replacement frequencies. A V. dahliae 991 ΔVdku70 null mutant strain was generated using Agrobacterium tumefaciens-mediated transformation. Despite having impaired non-homologous end joining DNA repair function, the ΔVdku70 strain exhibited normal growth, reproduction capability, and pathogenicity when compared with the wild-type strain. When the ΔVdku70 strain was used to delete 2-oxoglutarate dehydrogenase E2, ferric reductase transmembrane component 3 precursor, and ferric reductase transmembrane component 6 genes, gene replacement frequencies ranged between 22.8 and 34.7% compared with 0.3 and 0.5 % in the wild-type strain. The ΔVdku70 strain will be a valuable tool to generate deletion strains when studying factors that underlie virulence and pathogenesis in this filamentous fungus.

Indexed as

Gene TargetingAgrobacterium tumefaciensAntigens, NuclearDNA-Binding ProteinsDNA End-Joining RepairDNA, FungalFungal ProteinsGene DeletionGene Expression Regulation, FungalHomologous RecombinationKu AutoantigenMutagenesis, InsertionalMutationNicotianaPlant DiseasesSeedsAntigens, NuclearDNA-Binding ProteinsDNA, FungalFungal ProteinsKu Autoantigen

Identifiers

PMID26475327
OpenAlexW2205784870

What OpenQuestion holds

Textmetadata
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.