Mathematical modelling of biocontrol effect of Cryptococcus albidus on the growth of Penicillium expansum on Fuji apple fruits

Türkoğlu, Serap Pelin; Zengin, Adem; Ozturk, Mustafa; Mehmetoğlu, Arzu Çağrı

doi:10.1016/j.biocontrol.2022.104908

Cited by 3 publications

(5 citation statements)

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“…F. magnum was found as an endophytic fungus in the vineyard environment and was associated with the formation of grape flavor ( Sayed et al, 2021 ), making it a candidate for enhancing wine flavor in our future study of yeast selection program. Other yeasts like A. pullulans, C. albidus and C. magnus possess biological control activity against fungal pathogen of grape and other fruits ( De Capdeville et al, 2007 ; Pantelides et al, 2015 ; Türkoğlu et al, 2022 ). These yeasts have the potential to suppress phytopathogens by competition for space and the production of substances that affect hyphae integrity (niche competition).…”

Section: Discussionmentioning

confidence: 99%

Genetic diversity of non-Saccharomyces yeasts associated with spontaneous fermentation of Cabernet Sauvignon wines from Ningxia, China

Li,

Feng,

Wang

et al. 2023

Front. Microbiol.

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The organoleptic profile and quality of wine are affected by the presence of different non-Saccharomyces species and strains. Therefore, the identification and characterization of non-Saccharomyces yeasts are the first step to understand their function, and to develop a better strain selection program for winemaking. This study investigated the biodiversity of non-Saccharomyces yeasts associated with spontaneous fermentation of Cabernet Sauvignon wines from five sub-regions (Shi Zuishan, Yinchuan, Yu Quanying, Qing Tongxia and Hong Sibu) in Ningxia, China. Yeast species were identified by sequencing the 26S rRNA D1/D2 region, and strains at the subspecies level were discriminated using tandem repeat-tRNA (TRtRNA) PCR analysis. A total of 524 yeast colonies were isolated, and 19 non-Saccharomyces yeast species belonging to 10 genera were identified, including Aureobasidium pullulans, Cryptococcus albidus, Cryptococcus sp., C. flavescens, C. terrestris, C. magnus, Cystofilobasidium ferigula, Candida zemplinina, Filobasidium magnum, Filobasidium sp., F. elegans, Hanseniaspora uvarum, Metschnikowia pimensis, M. pulcherrima, Naganishia albida, Pichia kluyveri, P. kudriavzevii, Rhodotorula glutinis and R. graminis. Hanseniaspora uvarum, C. zemplinina, and M. pulcherrima were the three most dominated species, while other non-Saccharomyces species were only present in the early stage of spontaneous fermentations at different levels. Further, for the yeast discrimination at strain level, 34 profiles were obtained by amplification with primer pairs TtRNASC/5CAG, while 40 profiles were obtained with primer pairs TtRNASC/ISSR-MB. This study explored the diversity of non-Saccharomyces species in Ningxia, China, and made an important contribution of genetic resources for further strain development.

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Section: Discussionmentioning

confidence: 99%

Genetic diversity of non-Saccharomyces yeasts associated with spontaneous fermentation of Cabernet Sauvignon wines from Ningxia, China

Li,

Feng,

Wang

et al. 2023

Front. Microbiol.

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“…The biocontrol activity of antagonistic yeast increases with higher concentrations, which was also proved by several researchers. 117,118 For example, 9 log Cryptococcus albidus was applied to control Penicillium expansum infection on fuji fruit; the spoilage area of the samples reduced to 90.54 or 91.39%, at 95% relative humidity; however, there was no significant impact with the application of 6 logs of yeast. 118 In another study, Wang et al 119 investigated the surface colonization and interaction between Metschnikowia citriensis and Geotrichum citri-aurantii with SEM studies and observed that fungal pathogens were surrounded by yeast species without deformation.…”

Section: Management Of Postharvest Fungal Diseases By Antagonistic Ye...mentioning

confidence: 99%

“…117,118 For example, 9 log Cryptococcus albidus was applied to control Penicillium expansum infection on fuji fruit; the spoilage area of the samples reduced to 90.54 or 91.39%, at 95% relative humidity; however, there was no significant impact with the application of 6 logs of yeast. 118 In another study, Wang et al 119 investigated the surface colonization and interaction between Metschnikowia citriensis and Geotrichum citri-aurantii with SEM studies and observed that fungal pathogens were surrounded by yeast species without deformation. So far, the yeast did not cause any damage to the spores and hyphae but could inhibit the spore germination of Geotrichum citri-aurantii.…”

Section: Management Of Postharvest Fungal Diseases By Antagonistic Ye...mentioning

confidence: 99%

“…The biocontrol activity of antagonistic yeast increases with higher concentrations, which was also proved by several researchers. , For example, 9 log Cryptococcus albidus was applied to control Penicillium expansum infection on fuji fruit; the spoilage area of the samples reduced to 90.54 or 91.39%, at 95% relative humidity; however, there was no significant impact with the application of 6 logs of yeast …”

Section: Antagonistic Yeasts As Biocontrol Agentsmentioning

confidence: 99%

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Recent Insights into the Use of Antagonistic Yeasts for Sustainable Biomanagement of Postharvest Pathogenic and Mycotoxigenic Fungi in Fruits with Their Prevention Strategies against Mycotoxins

Öztekin

Dikmetaş

Devecioglu

et al. 2023

J. Agric. Food Chem.

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Fungi-induced postharvest diseases are the leading causes of food loss and waste. In this context, fruit decay can be directly attributed to phytopathogenic and/or mycotoxin-producing fungi. The U.N. Sustainable Development Goals aim to end hunger by 2030 by improving food security, sustainable agriculture, and food production systems. Antagonistic yeasts are one of the methods presented to achieve these goals. Unlike physical and chemical methods, harnessing antagonistic yeasts as a biological method controls the decay caused by fungi and adsorbs and/or degrades mycotoxins sustainably. Therefore, antagonistic yeasts and their antifungal mechanisms have gained importance. Additionally, mycotoxins’ biodetoxification is carried out due to the occurrence of mycotoxin-producing fungal species in fruits. Combinations with processes and agents have been investigated to increase antagonistic yeasts’ efficiency. Therefore, this review provides a comprehensive summary of studies on preventing phytopathogenic and mycotoxigenic fungi and their mycotoxins in fruits, as well as biocontrolling and biodetoxification mechanisms.

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“…Numerous food-related investigations introducing the effectiveness of ANN modeling could be found in the literature by Cetin and Saglam [23] and Turkoglu et al [24]. Moreover, in a study by Wenning et al [25], automatic monitoring of the insects' growth system was developed using a mask scoring regional convolutional neural network.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Nutritional Profiles of Super Worm (Zophobas morio) and Yellow Mealworm (Tenebrio molitor) as Alternative Feeds Used in Animal Husbandry: Is Super Worm Superior?

Dragojlović

Ðuragić

Pezo

et al. 2022

Animals

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Edible insects are acknowledged as a valuable nutritional source and promising alternative to traditional feed ingredients, while the optimization of rearing conditions is required for their wider utilization in the animal feed industry. The main goal of this study was to compare and optimize the rearing conditions of the two species’ larvae and identify the most favorable nutritive composition of the full-fat larval meal. For that purpose, Tenebrio molitor (TM) and Zophobas morio (ZM) were reared on three different substrates and harvested after three time periods. An artificial neural network (ANN) with multi-objective optimization (MOO) was used to investigate the influence between the observed parameters as well as to optimize and determine rearing conditions. The optimization of the larval rearing conditions showed that the best nutritive composition of full-fat larval meal was obtained for ZM larvae reared on a mixture of cabbage, carrot and flaxseed and harvested after 104 days. The best nutritive composition contained 39.52% protein, 32% crude fat, 44.01% essential amino acids, 65.21 mg/100 g Ca and 651.15 mg/100 g P with a favorable ratio of 1.5 of n6/n3 fatty acids. Additionally, the incorporation of flaxseed in the larval diet resulted in an increase in C18:3n3 content in all samples.

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Mathematical modelling of biocontrol effect of Cryptococcus albidus on the growth of Penicillium expansum on Fuji apple fruits

Cited by 3 publications

References 15 publications

Genetic diversity of non-Saccharomyces yeasts associated with spontaneous fermentation of Cabernet Sauvignon wines from Ningxia, China

Genetic diversity of non-Saccharomyces yeasts associated with spontaneous fermentation of Cabernet Sauvignon wines from Ningxia, China

Recent Insights into the Use of Antagonistic Yeasts for Sustainable Biomanagement of Postharvest Pathogenic and Mycotoxigenic Fungi in Fruits with Their Prevention Strategies against Mycotoxins

Comparison of Nutritional Profiles of Super Worm (Zophobas morio) and Yellow Mealworm (Tenebrio molitor) as Alternative Feeds Used in Animal Husbandry: Is Super Worm Superior?

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