Biocontrol of antifungal volatiles produced by Ceriporia lacerate HG2011 against citrus fruit rot incited by Penicillium spp.

Zhang, Ruixuan; Yin, Jie; Sui, Zongming; Han, Leng; Li, Yong; Huang, Jianguo

doi:10.1016/j.postharvbio.2022.112094

Cited by 11 publications

(5 citation statements)

References 48 publications

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“…These organelles play diverse roles, including protein processing in Golgi bodies [ 94 ], the breakdown of proteins, nucleic acids, and polysaccharides in lysosomes [ 95 ], and the transport of extracellular materials into cells through endosomes [ 96 ]. The disruption of vesicular transport by volatile compounds may exert a significantly negative impact on organisms [ 46 ]. Therefore, the down-regulation of genes involved in protein metabolism and nutrient transport, as observed in our study, may account for the reduced total protein content and inhibition of S. capricornutum growth.…”

Section: Discussionmentioning

confidence: 99%

“…The AMP (3.47 × 10 −7 mol/L–6.59 × 10 −5 mol/L, dilution factor = 0.4) and CZO (1.37 × 10 −6 mol/L-2.73 × 10 −4 mol/L, dilution factor = 0.4) concentration ranges are based on the mixture test concentration and the mixing ratio. Following a 96 h exposure period, the growth inhibition ratio ( I ) was calculated for S. capricornutum in response to the two individual pollutants as well as their combination, utilizing the following formula [ 36 , 43 , 44 , 45 , 46 ]:

where OD t0 and OD ti are the optical density (OD) of the treatment at 0 and 96 h, respectively. OD 00 and OD 0i are the OD of the controls at 0 and 96 h, respectively.…”

Section: Methodsmentioning

confidence: 99%

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Mechanism of the Synergistic Toxicity of Ampicillin and Cefazoline on Selenastrum capricornutum

Huang,

Qin,

et al. 2024

Toxics

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Ampicillin (AMP) and cefazolin (CZO) are commonly used β-lactam antibiotics which are extensively globally produced. Additionally, AMP and CZO are known to have relatively high ecotoxicity. Notably, the mix of AMP and CZO creates a synergistic effect that is more harmful to the environment, and how exposure to AMP-CZO can induce synergism in algae remains virtually unknown. To yield comprehensive mechanistic insights into chemical toxicity, including dose–response relationships and variations in species sensitivity, the integration of multiple endpoints with de novo transcriptomics analyses were used in this study. We employed Selenastrum capricornutum to investigate its toxicological responses to AMP and CZO at various biological levels, with the aim of elucidating the underlying mechanisms. Our assessment of multiple endpoints revealed a significant growth inhibition in response to AMP at the relevant concentrations. This inhibition was associated with increased levels of reactive oxygen species (ROS) and perturbations in nitrogen metabolism, carbohydrate metabolism, and energy metabolism. Growth inhibition in the presence of CZO and the AMP-CZO combination was linked to reduced viability levels, elevated ROS production, decreased total soluble protein content, inhibited photosynthesis, and disruptions in the key signaling pathways related to starch and sucrose metabolism, ribosome function, amino acid biosynthesis, and the production of secondary metabolites. It was concluded from the physiological level that the synergistic effect of Chlorophyll a (Chla) and Superoxide dismutase (SOD) activity strengthened the growth inhibition of S. capricornutum in the AMP-CZO synergistic group. According to the results of transcriptomic analysis, the simultaneous down-regulation of LHCA4, LHCA1, LHCA5, and sodA destroyed the functions of the photosynthetic system and the antioxidant system, respectively. Such information is invaluable for environmental risk assessments. The results provided critical knowledge for a better understanding of the potential ecological impacts of these antibiotics on non-target organisms.

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Section: Discussionmentioning

confidence: 99%

where OD t0 and OD ti are the optical density (OD) of the treatment at 0 and 96 h, respectively. OD 00 and OD 0i are the OD of the controls at 0 and 96 h, respectively.…”

Section: Methodsmentioning

confidence: 99%

Mechanism of the Synergistic Toxicity of Ampicillin and Cefazoline on Selenastrum capricornutum

Huang,

Qin,

et al. 2024

Toxics

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“…presentan actividad antifúngica contra P. digitatum, con resultados similares a los tratamientos empleados como control (aceite vegetal y fungicida). Esta inhibición se debe por las múltiples sustancias antifúngicas presentes en los metabolitos extraídos que pueden actuar sobre o dentro de las células patógenas, interfiriendo con el metabolismo de los patógenos (Zhang, Yin, et al, 2022).…”

Section: Discussionunclassified

“…(1) Donde: I (%)= porcentaje de inhibición del crecimiento micelial (radial), C= medida del crecimiento radial del patógeno en el control y T= medida de crecimiento radial del patógeno en presencia del biocontrolador Biocontrol del moho verde (Penicillium digitatum) con metabolitos secundarios en frutos de mandarina en condiciones de laboratorio Se recolectaron frutos sanos de mandarina variedad satsuma de una plantación de 4 años ubicada en el distrito de San Vicente de Cañete, estos fueron transportados con el mayor cuidado posible sin causar heridas hacia el laboratorio de Sanidad Vegetal de la UNDC. Los frutos fueron lavados con agua potable, luego se desinfectó la superficie con hipoclorito de sodio al 2 % por 5 min y enjuagaron tres veces con agua destilada estéril (Zhang, Yin, et al, 2022). Para su secado se colocaron dentro de la cámara de siembra sobre papel toalla.…”

Section: Prueba De Antibiosisunclassified

Biocontrol de Penicillium digitatum con metabolitos secundarios de hongos endófitos en frutos de mandarina

León-Ttacca,

Arestegui-Cantoral,

Tarula-Gutierrez

et al. 2024

Agron. Mesoam.

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Introducción. El “moho verde” causado por Penicillium digitatum es uno de los problemas fitosanitarios que limita la producción en los cítricos. Para su control se utilizan fungicidas sintéticos, que con el tiempo han perdido eficacia debido a la resistencia generada por el hongo. Una alternativa, al control químico, el uso de hongos endófitos con acción biocontroladora. Objetivo. Evaluar el efecto de metabolitos secundarios (MS) de hongos endófitos (HE) en la inhibición micelial de Penicillium digitatum y la eficacia de control de la enfermedad, en frutos de mandarina (Citrus reticulata) después de la cosecha. Materiales y métodos. Se realizó bajo un diseño experimental completo al azar en el laboratorio de Sanidad Vegetal de la Universidad Nacional de Cañete (UNDC), Lima, Perú. Para la prueba de antibiosis se extrajeron los metabolitos secundarios de diez cepas de HE de los géneros Trichoderma sp., Fusarium sp. y Aspergillus sp., en donde se evaluó la inhibición micelial del patógeno (%). Se asperjaron MS a una concentración del 15 % (v/v) sobre frutos de mandarina que fueron desinfectados y luego inoculados por aspersión (1x 105 UFC/cc) con el patógeno. En los tratamientos se adicionaron un biocontrol comercial, un aceite vegetal y un fungicida. Después de seis y nueve días, se evaluaron la incidencia (%) y el índice de severidad (0,1,2,3) de la enfermedad. Los datos fueron analizados con el programa estadístico InfoStat. Resultados. Los metabolitos secundarios de las cepas HEA-111 (Aspergillus), HEA-109 (Fusarium) y HSA-1 (Trichoderma) presentaron la mayor inhibición micelial con 95,05 %, 87,51 % y 47,47 %, respectivamente. En los frutos de mandarina tratados con los MS de las cepas HEA-109 y HSA-1 hubo un control del 80 % y 55 %, respectivamente. Conclusiones. Los MS de HE tienen efecto en la inhibición micelial de de P. digitatum y redujo el avance de la enfermedad en frutos de mandarina después de la cosecha.

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“…Kondo et al [10,11] proposed citrus fluorescence defect detection based on a machine vision system. Ketones, a product of citrus decay, fluoresced under UV irradiation and revealed minor surface defects [12]. Chenglin et al [13] combined colorbased k-means and the circle hough transform (CHT) to conduct a preliminary screening of the fruit zone before constructing the feature-based AdaBoost classifier to detect and count unripe citrus with a precision of up to 85.6%.…”

Section: Introductionmentioning

confidence: 99%

The Surface Defects Detection of Citrus on Trees Based on a Support Vector Machine

Bao-xia

Feng

et al. 2022

Agronomy

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Machine learning and image processing have been combined to identify and detect defects in mature citrus fruit at night, which has great research and development significance. First, a multi-light vision system was used to collect citrus UV images, and from these, 1500 samples were obtained, 80% of which were training and 20% were experimental sets. For a support vector machine (SVM) model with “2*Cb-Cr”, “4*a-b-l”, and “H” as the training features, the accuracy of the final training model in the experimental set is 99.67%. Then, the SVM model was used to identify mature citrus regions, detect defects, and output the defective citrus regions label. The average running time of the detection algorithm was 0.84097 s, the accuracy of citrus region detection was 95.32%, the accuracy of citrus defect detection was 96.32%, the precision was 95.24%, and the recall rate was 87.91%. The results show that the algorithm had suitable accuracy and real-time performance in recognition and defect detection in citrus in a natural environment at night.

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Biocontrol of antifungal volatiles produced by Ceriporia lacerate HG2011 against citrus fruit rot incited by Penicillium spp.

Cited by 11 publications

References 48 publications

Mechanism of the Synergistic Toxicity of Ampicillin and Cefazoline on Selenastrum capricornutum

Mechanism of the Synergistic Toxicity of Ampicillin and Cefazoline on Selenastrum capricornutum

Biocontrol de Penicillium digitatum con metabolitos secundarios de hongos endófitos en frutos de mandarina

The Surface Defects Detection of Citrus on Trees Based on a Support Vector Machine

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