Evidence map›Paper›PMID 37980509›Full record

ArticleBMC microbiology2023

Towards unlocking the biocontrol potential of Pichia kudriavzevii for plant fungal diseases: in vitro and in vivo assessments with candidate secreted protein prediction.

Bassma Mahmoud Elkhairy, Nabil Mohamed Salama, Abdalrahman Mohammad Desouki, Ashraf Bakry Abdelrazek, Khaled Abdelaziz Soliman, Samir Abdelaziz Ibrahim, Hala Badr Khalil

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2023. 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
9.9field-weighted citation impact, top 2% 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

10 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 2 countries.

Bassma Mahmoud ElkhairyDepartment of Genetics, Faculty of Agriculture, Ain Shams University, 68 Hadayek Shoubra, Cairo, 11241, Egypt.
Nabil Mohamed SalamaDepartment of Genetics, Faculty of Agriculture, Ain Shams University, 68 Hadayek Shoubra, Cairo, 11241, Egypt.
Abdalrahman Mohammad DesoukiDepartment of Plant Pathology, Faculty of Agriculture, Ain Shams University, Postal Code, 68 Hadayek Shoubra, Cairo, 11241, Egypt.
Ashraf Bakry AbdelrazekDepartment of Genetics, Faculty of Agriculture, Ain Shams University, 68 Hadayek Shoubra, Cairo, 11241, Egypt.
Khaled Abdelaziz SolimanDepartment of Genetics, Faculty of Agriculture, Ain Shams University, 68 Hadayek Shoubra, Cairo, 11241, Egypt.
Samir Abdelaziz IbrahimDepartment of Genetics, Faculty of Agriculture, Ain Shams University, 68 Hadayek Shoubra, Cairo, 11241, Egypt.
Hala Badr KhalilDepartment of Genetics, Faculty of Agriculture, Ain Shams University, 68 Hadayek Shoubra, Cairo, 11241, Egypt. hkhalil@kfu.edu.sa.ORCID http://orcid.org/0000-0003-2714-2327
Ain Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlant fungal pathogens cause substantial economic losses through crop yield reduction and post-harvest storage losses. The utilization of biocontrol agents presents a sustainable strategy to manage plant diseases, reducing the reliance on hazardous chemical. Recently, Pichia kudriavzevii has emerged as a promising biocontrol agent because of its capacity to inhibit fungal growth, offering a potential solution for plant disease management.

resultsTwo novel Pichia kudriavzevii strains, Pk_EgyACGEB_O1 and Pk_EgyACGEB_O2, were isolated from olive brine samples. The microscopic characterization of the strains revealed similar structures. However, there were noticeable differences in their visual morphology. Based on their internal transcribed spacer (ITS) DNA sequences, Pk_EgyACGEB_O1 and Pk_EgyACGEB_O2 strains assigned by GenBank IDs MZ507552.1 and MZ507554.1 shared high sequence similarity (~ 99.8% and 99.5%) with P. kudriavzevii, respectively. Both strains were evaluated in vitro against plant pathogenic fungi. The strains revealed the ability to consistently inhibit fungal growth, with Pk_EgyACGEB_O2 showing higher effectiveness. In addition, both P. kudriavzevii strains effectively controlled grey mold disease caused by B. cinerea in golden delicious apples, suggesting their potential as sustainable and eco-friendly biocontrol agents for post-harvest diseases. Based on a comprehensive bioinformatics pipeline, candidate-secreted proteins responsible for the potent antifungal activity of P. kudriavzevii were identified. A total of 59 proteins were identified as common among the P. kudriavzevii CBS573, SD108, and SD129 strains. Approximately 23% of the secreted proteins in the P. kudriavzevii predicted secretome are hydrolases with various activities, including proteases, lipases, glycosidases, phosphatases, esterases, carboxypeptidases, or peptidases. In addition, a set of cell-wall-related proteins was identified, which might enhance the biocontrol activity of P. kudriavzevii by preserving the structure and integrity of the cell wall. A papain inhibitor was also identified and could potentially offer a supplementary defense against plant pathogens.

conclusionOur results revealed the biocontrol capabilities of P. kudriavzevii against plant pathogenic fungi. The research focused on screening novel strains for their ability to inhibit the growth of common pathogens, both in vitro and in vivo. This study shed light on how P. kudriavzevii interacts with fungal pathogens. The findings can help develop effective strategies for managing plant diseases.

Indexed as

MycosesPichiaAntifungal AgentsPlant DiseasesAntifungal AgentsAntifungal inhibitorsBiocontrol agentHydrolase proteinsPichia kudriavzeviiPlant pathogenic fungiSecreted proteins

Identifiers

PMID37980509
PMCPMC10657120
OpenAlexW4388793828

What OpenQuestion holds

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LicenceCC BY
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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.