Evidence map›Paper›PMID 39196386›Full record

ArticleMolecular genetics and genomics : MGG2024

Screening of pathogenicity-deficient Penicillium italicum mutants established by Agrobacterium tumefaciens-mediated transformation.

Meihong Zhang, Shuzhen Yang, Qianru Li, Meng Wang, Litao Peng

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Recent Advances in Pathogenicity and Biocontrol of PostharvestJournal of fungi (Basel, Switzerland) · 2026
    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.

Meihong ZhangCollege of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, P.R. of China.
Shuzhen YangCollege of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, P.R. of China. yszhen@mail.hzau.edu.cn.
Qianru LiCollege of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, P.R. of China.
Meng WangCollege of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, P.R. of China.
Litao PengCollege of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, P.R. of China. penglt12@mail.hzau.edu.cn.ORCID http://orcid.org/0009-0004-5413-7106

Funding

the National Natural Science Foundation of China NSFC No.31871850
6 · The paper itself

Abstract

Blue mold, caused by Penicillium italicum, is one of the main postharvest diseases of citrus fruits during storage and marketing. The pathogenic mechanism remains largely unclear. To explore the potential pathogenesis-related genes of this pathogen, a T-DNA insertion library of P. italicum PI5 was established via Agrobacterium tumefaciens-mediated transformation (ATMT). The system yielded 200-250 transformants per million conidia, and the transformants were genetically stable after five generations of successive subcultures on hygromycin-free media. 2700 transformants were obtained to generate a T-DNA insertion library of P. italicum. Only a few of the 200 randomly selected mutants exhibited significantly weakened virulence on citrus fruits, with two mutants displaying attenuated sporulation. The T-DNA in the two mutants existed as a single copy. Moreover, the mutant genes PiBla (PITC_048370) and PiFTF1 (PITC_077280) identified may be involved in conidia production by regulating expressions of the key regulatory components for conidiogenesis. These results demonstrated that the ATMT system is useful to obtain mutants of P. italicum for further investigation of the molecular mechanisms of pathogenicity and the obtained two pathogenesis-related genes might be novel loci associated with pathogenesis and conidia production.

Indexed as

Agrobacterium tumefaciensPenicilliumTransformation, GeneticCitrusDNA, BacterialGenes, FungalMutagenesis, InsertionalMutationPlant DiseasesSpores, FungalVirulenceDNA, BacterialT-DNAAgrobacterium tumefaciens-mediated transformation (ATMT)CitrusPathogenicity-deficient mutantsPenicillium ItalicumT-DNA

Identifiers

PMID39196386

What OpenQuestion holds

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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.