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DIGITAL.CSIC
Dataset . 2024 . Peer-reviewed
Data sources: DIGITAL.CSIC
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Data: Exploring the Biocontrol Capability of Non-Mycotoxigenic Strains of Penicillium expansum

Authors: Llobregat, Belén; González-Candelas, Luis; Ballester Frutos, Ana Rosa;

Data: Exploring the Biocontrol Capability of Non-Mycotoxigenic Strains of Penicillium expansum

Abstract

Penicillium expansum is one the major postharvest pathogens of pome fruit during postharvest handling and storage. This fungus also produces patulin, which is a highly toxic mycotoxin that can contaminate infected fruits and their derived products and whose levels are regulated in many countries. In this study, we investigated the biocontrol potential of non-mycotoxigenic strains of Penicillium expansum against a mycotoxigenic strain. We analyzed the competitive behavior of two knockout mutants that were unable to produce patulin. The first mutant (∆patK) involved the de-letion of the patK gene, which is the initial gene in patulin biosynthesis. The second mutant (∆veA) involved the deletion of veA, which is a global regulator of primary and secondary metabolism. At the phenotypic level, the ∆patK mutant exhibited similar phenotypic characteristics to the wild-type strain. In contrast, the ∆veA mutant displayed altered growth characteristics compared with the wild type, including reduced conidiation and abnormal conidiophores. Neither mutant produced patulin under the tested conditions. Under various stress conditions, the ∆veA mutants exhibited reduced growth and conidiation when exposed to stressors, including cell membrane stress, oxidative stress, osmotic stress, and different pH values. However, no significant changes were observed in the ∆patK mutant. In competitive growth experiments, the presence of non-mycotoxigenic strains reduced the population of the wild-type strain during in vitro growth. Furthermore, the addition of either of the non-mycotoxigenic strains resulted in a significant decrease in patulin levels. Overall, our results suggest the potential use of non-mycotoxigenic mutants, particularly ∆patK mutants, as biocontrol agents to reduce patulin contamination in food and feed.

The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform, and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL.

This work was partially funded by projects RTI2018-093392-A-I00, PID2021-126005OBI00 (MCIN/AEI/10.13039/501100011033/FEDER, UE), AGROALNEXT/2022/028 (GVA, PRTR, MRR, NextGenerationEU), and PIE 202270I070 (CSIC). The Ramón y Cajal postdoctoral contract (RYC-2017-22009, MINECO and FSE) to A.-R.B. is also acknowledged. B.L. was a recipient of the predoctoral contract PRE2019-089326 (MICINN/AEI/FSE, UE). The Accreditation as Center of Ex-cellence Severo Ochoa CEX2021-001189-S funded by MCIN/AEI/10.13039/501100011033 is also fully acknowledged.

Peer reviewed

Country
Spain
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Keywords

Mycotoxin, Patulin, VELVET complex, Competition, Secondary metabolism, Knockout mutant

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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