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Métodos Terapéuticos y Terapias MTCI
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1.
Microbiol Spectr ; 11(1): e0311322, 2023 02 14.
Artículo en Inglés | MEDLINE | ID: mdl-36507658

RESUMEN

Pleurotus ostreatus is usually cultivated in horticultural facilities that lack environmental control systems and often suffer heat stress (HS). Salicylic acid (SA) is recognized as a plant defense-related hormone. Here, SA treatment (200 µM) induced fungal resistance to HS of P. ostreatus, with decreased malondialdehyde (MDA) content and HSP expression. Further analysis showed that SA treatment in P. ostreatus increased the cytosolic trehalose content and reduced the intracellular reactive oxygen species (ROS) level. Moreover, H2O2 could restore the MDA content and HSP expression of P. ostreatus treated with SA under HS. In addition, trehalose (25 mM) or CaCl2 (5 mM) treatment induced fungal resistance to HS, and CaCl2 treatment increased the cytosolic trehalose content of P. ostreatus under HS. However, inhibiting Ca2+ levels using Ca2+ inhibitors or mutants reversed the trehalose content induced by SA in P. ostreatus under HS. In addition, inhibiting trehalose biosynthesis using Tps-silenced strains reversed the MDA content and HSP expression of P. ostreatus treated with SA under HS. Taken together, these results indicate that SA treatment alleviates the HS response of P. ostreatus by reducing the intracellular ROS level and increasing the cytosolic trehalose content. IMPORTANCE Heat stress (HS) is a crucial environmental challenge for edible fungi. Salicylic acid (SA), a plant defense-related hormone, plays key roles in plant responses to biotic and abiotic stresses. In this study, we found that SA treatment increased the cytosolic trehalose content and induced fungal resistance to HS in P. ostreatus. Further analysis showed that SA can alleviate the HS of P. ostreatus by reducing the intracellular ROS level and increasing the cytosolic trehalose content. Our results help to understand the mechanism underlying the responses of P. ostreatus to HS. In addition, this research provides new insights for the cultivation of P. ostreatus.


Asunto(s)
Pleurotus , Especies Reactivas de Oxígeno/metabolismo , Pleurotus/metabolismo , Trehalosa , Ácido Salicílico/metabolismo , Ácido Salicílico/farmacología , Peróxido de Hidrógeno/metabolismo , Cloruro de Calcio/metabolismo , Respuesta al Choque Térmico/fisiología , Hormonas/metabolismo
2.
J Sci Food Agric ; 101(10): 4220-4228, 2021 Aug 15.
Artículo en Inglés | MEDLINE | ID: mdl-33426692

RESUMEN

BACKGROUND: Rice grains can be contaminated easily by certain fungi during storage and in the market chain, thus generating a risk for humans. Most classical methods for identifying and rectifying this problem are complex and time-consuming for manufacturers and consumers. However, E-nose technology provides analytical information in a non-destructive and environmentally friendly manner. Two-feature fusion data combined with chemometrics were employed for the determination of Aspergillus spp. contamination in milled rice. RESULTS: Linear discriminant analysis (LDA) indicated that the efficiency of fusion signals ('80th s values' and 'area values') outperformed that of independent E-nose signals. Linear discriminant analysis showed clear discrimination of fungal species in stored milled rice for four groups on day 2, and the discrimination accuracy reached 92.86% by using an extreme learning machine (ELM). Gas chromatography-mass spectrometry (GC-MS) analysis showed that the volatile compounds had close relationships with fungal species in rice. The quantification results of colony counts in milled rice showed that the monitoring models based on ELM and the genetic algorithm optimized support vector machine (GA-SVM) (R2  = 0.924-0.983) achieved better performances than those based on partial least squares regression (PLSR) (R2  = 0.877-0.913). The ability of the E-nose to monitor fungal infection at an early stage would help to prevent contaminated rice grains from entering the food chains. CONCLUSIONS: The results indicated that an E-nose coupled with ELM or GA-SVM algorithm could be a useful tool for the rapid detection of fungal infection in milled rice, to prevent contaminated rice from entering the food chain. © 2021 Society of Chemical Industry.


Asunto(s)
Aspergillus/aislamiento & purificación , Nariz Electrónica , Contaminación de Alimentos/análisis , Oryza/química , Oryza/microbiología , Preparaciones de Plantas/química , Aspergillus/química , Análisis Discriminante , Cromatografía de Gases y Espectrometría de Masas , Polvos/química , Máquina de Vectores de Soporte
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