Ochratoxin A (OTA), a nephrotoxic compound produced by certain Aspergillus and Penicillium species, is one of the most abundant mycotoxins in food commodities. Aspergillus carbonarius is the main source of OTA in wine, grape juice and dried vine fruits. Although many studies have focused on OTA production by A. carbonarius, little is known about the genes related to OTA production and transport. We have found a transporter that belongs to the major facilitator superfamily (MfsA) which is highly expressed with a 102-fold induction in an ochratoxigenic A. carbonarius strain compared to a low OTA producer strain. The encoding mfsA gene shows similarity to the multidrug efflux transporter flu1 from Candida albicans. A high number of putative transcription factor binding sites involved in the response to stress were identified within the promoter of mfsA. Phenotypical analysis of ΔmfsA deletion mutants revealed that the loss of mfsA leads to a slight growth reduction and increased OTA production. We therefore hypothesize that MfsA could be a stress response transporter whose disruption could cause an increase in oxidative stress together with a stimulation of mycotoxin production.
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http://dx.doi.org/10.1016/j.ijfoodmicro.2014.04.014 | DOI Listing |
J Hazard Mater
January 2025
State Key Laboratory of Marine Food Processing and Safety Control, Dalian Polytechnic University, Dalian, Liaoning 116034, PR China. Electronic address:
The existence of ochratoxin A (OTA) in agricultural products poses significant threats to human health and environment, underscoring the critical need for its prompt and precise quantification. A particle counting immunosensor for the highly sensitive detection of OTA was presented, employing SiO@CuO nanoparticles to facilitate click chemistry. The quantity of SiO@CuO nanoparticles, and consequently the Cu²⁺ concentration, can be directly altered through the immune response involving OTA.
View Article and Find Full Text PDFBreed Sci
September 2024
Crop Research Laboratories, Sapporo Breweries Ltd., 37-1 Nittakizaki, Ota, Gunma 370-0321, Japan.
Hokkaido-specific malting barley varieties have been developed to improve the grain yield, disease resistance, malting quality, and brewing quality. In this report we describe the breeding and evaluation of brewing quality of a hulled two-row malting barley ( L.) variety 'Satuiku 5 go' lacking lipoxygenase-1 (LOX-1-less).
View Article and Find Full Text PDFAllergy
January 2025
Department of Pediatrics and Adolescent Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Background: IgE-mediated food allergy is accompanied by mucosal mast cell (MMC) hyperplasia in the intestinal mucosa. Intestinal MMC numbers correlate with the severity of food allergy symptoms. However, the mechanisms by which MMCs proliferate excessively are poorly understood.
View Article and Find Full Text PDFFood Chem X
January 2025
State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Here, we report a SERS based VFA using PNC as a sensing substrate for highly sensitive multiplex mycotoxins detection. The PNC was fabricated by filtration-based self-assembled monodisperse SiO NPs on a filter membrane as a template, and the obtained PNC had an ordered complementary inverse opal structure. In parallel, three kinds of Raman dyes encoding Au@Ag, Au@Ag and Au@Ag SERS nanotags were synthesized for the detection of OTA, AFB1 and ZON.
View Article and Find Full Text PDFHeliyon
January 2025
Electrical and Information Engineering Department, Covenant University, P.M.B 1023, Ota, 112212, Ogun State, Nigeria.
Unplanned downtime in industrial sectors presents significant challenges, impacting both production efficiency and profitability. To tackle this issue, companies are actively working towards optimizing their operations and reducing disruptions that hinder their ability to meet customer demands and financial goals. Predictive maintenance, utilizing advanced technologies like data analytics, machine learning, and IoT devices, offers real-time equipment data monitoring and analysis.
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