Bioactivity of the <scp>DMI</scp> fungicide mefentrifluconazole against <scp><i>Sclerotium rolfsii</i></scp>, the causal agent of peanut southern blight

Han, Zhengxue; Cui, Kaidi; Wang, Mengke; Jiang, Chaofan; Zhao, Te; Wang, Meizi; Du, Pengqiang; He, Lifei; Zhou, Lin

doi:10.1002/ps.7386

Cited by 14 publications

(11 citation statements)

References 31 publications

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“…Mefentri uconazole was o cially registered in China in 2020 (Bai, 2022). A variety of crop diseases are highly sensitive to mefentri uconazole (Gao et al, 2021;Han et al, 2023;Liu et al, 2022). The sensitive baseline of a variety of pathogenic bacteria to mefentri uconazole has been established.…”

Section: Discussionmentioning

confidence: 99%

The Sensitivity and Resistance Risk Assessment of Coniella vitis to Mefentrifluconazole

LI,

SHI,

ZHOU

et al. 2023

Preprint

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Coniella vitis, one important fungal pathogen, causes grape white rot which can significantly reduce yield and quality of grape. Fungicide application is the main control measure of grape white rot. To evaluate the resistance and risk of C. vitis in Shandong province to mefentrifluconazole, in this experiment, the sensitive baseline of C. vitis to mefentrifluconazole was established, and resistance risk of the pathogen was evaluated by analyzing the genetic stability, biological characteristics, and interaction resistance with other fungicides of the mefentrifluconazole resistant strain. The field evaluation suggested that mefentrifluconazole is an excellent fungicide for control of C. vitis on grape. The EC50 of 76 strains of C. vitis to mefentrifluconazole was ranged from 0.0210 to 59.0305 μg/mL. The frequency distribution map of EC50 of 64 strains of C. vitis in the first main peak against mefentrifluconazole compound normal distribution, the average EC50 is 0.7409±0.4346 μg/mL, which can be used as the sensitive baseline for C. vitis in Shandong province to mefentrifluconazole. There had resistant isolates to mefentrifluconazole emerged in the field, sharing for 3.95% of the total tested strains. No difference was observed between the resistant and sensitive strains in terms of temperature sensitivity. The average rate of mycelial growth, spore production and pathogenicity of resistant strains did not decrease compared to sensitive strains, and some resistant strains were even higher than sensitive strains. The correlation coefficent of the logarithms of EC50 values to C. vitis between mefentrifluconazole and other fungicides, including pyraclostrobin, thiram, mancozeb, carbendazol, imazalil, difenoconazole, propiconazole and tebuconazole, were -0.0812, 0.1024, -0.2865, -0.2178, 0.3198, 0.5598, 0.5511 and 0.3977. Indicating that there was no significant cross resistance between mefentrifluconazole and the above 8 fungicides. This study lays a foundation for the resistance risk assessment of C. vitis to mefentrifluoconaole.

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Section: Discussionmentioning

confidence: 99%

The Sensitivity and Resistance Risk Assessment of Coniella vitis to Mefentrifluconazole

LI,

SHI,

ZHOU

et al. 2023

Preprint

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“…rolfsii strains ZZ-3, SR-7 and HX-5 were collected from different peanut planting regions in China (Xinxiang, Henan; Rizhao, Shandong; and Xingtai, Hebei). Three strains were isolated and identified by morphological and molecular biological analysis according to the method described by Han et al [9]. Sclerotium rolfsii was cultured on potato dextrose agar (PDA) plates (90 mm) and incubated at 28 • C in the dark.…”

Section: Strainsmentioning

confidence: 99%

“…To date, there are no reported appropriate and reliable reference genes identified in Sclerotium rolfsii (Teleomorph: Aathelia rolfsii), the causal pathogen of plant stem rot, which can cause diseases in more than 500 plants and leads to huge economic losses for the world [8]. Sclerotium rolfsii initially produces white silky mycelia on the plant stems, and then forms a dark brown sclerotia that spreads with agricultural operations or remains on plant debris and in soil for several years [9]. Sclerotium rolfsii can be divided into different mycelial compatibility groups (MCGs) based on mycelial interactions [10].…”

Section: Introductionmentioning

confidence: 99%

“…Sclerotium rolfsii can be divided into different mycelial compatibility groups (MCGs) based on mycelial interactions [10]. Generally, the application of fungicides is the common control method for the management of this disease [9,11]. The development, survival and genetic variability of S. rolfsii, as well as its response to fungicides, are inseparable from the regulation of genes.…”

Section: Introductionmentioning

confidence: 99%

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Selection and Validation of Reference Genes for Reverse-Transcription Quantitative PCR Analysis in Sclerotium rolfsii

Jiang,

Zhou,

Zhao

et al. 2023

IJMS

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Reference genes are important for the accuracy of gene expression profiles using reverse-transcription quantitative PCR (RT-qPCR). However, there are no available reference genes reported for Sclerotium rolfsii; it actually has a pretty diverse and wide host range. In this study, seven candidate reference genes (UBC, β-TUB, 28S, 18S, PGK, EF1α and GAPDH) were validated for their expression stability in S. rolfsii under conditions of different developmental stages, populations, fungicide treatments, photoperiods and pHs. Four algorithm programs (geNorm, Normfinder, Bestkeeper and ΔCt) were used to evaluate the gene expression stability, and RefFinder was used to integrate the ranking results of four programs. Two reference genes were recommended by RefFinder for RT-qPCR normalization in S. rolfsii. The suitable reference genes were GAPDH and UBC across developmental stages, PGK and UBC across populations, GAPDH and PGK across fungicide treatments, EF1α and PGK across photoperiods, β-TUB and EF1α across pHs and PGK and GAPDH across all samples. Four target genes (atrB, PacC, WC1 and CAT) were selected for the validation of the suitability of selected reference genes. However, using one or two reference genes in combination to normalize the expression of target genes showed no significant difference in S. rolfsii. In short, this study provided reliable reference genes for studying the expression and function of genes in S. rolfsii.

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“…However, in severely affected regions, it may exceed 80%. In certain circumstances, crops may fail to produce any harvest at all [5,6].…”

Section: Introductionmentioning

confidence: 99%

Development and Evaluation of a New Spectral Index to Detect Peanut Southern Blight Disease Using Canopy Hyperspectral Reflectance

Wen,

Liu,

et al. 2024

Horticulturae

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Peanut southern blight is a soil-borne fungal disease caused by Agroathelia rolfsii (syn. Sclerotium rolfsii) Sacc, which seriously affects peanut yield. The disease mainly affects the stem, pod, and root of the plant, and it is difficult to detect the disease by visual interpretation. Detecting peanut southern blight using existing technology is an urgent problem that needs to be solved. To address this issue, field experiments were conducted in September 2022 to determine whether hyperspectral techniques could be used to assess the severity of peanut southern blight. In this study, we obtained 610 canopy-scale spectral data through field experiments. Firstly, 18 traditional spectral features were calculated. Then, wavelengths of 544 nm, 678 nm, and 769 nm were selected as sensitive by the Relief-F algorithm, and the NDSISB and NSISB were constructed using normalization and ratio calculation methods. Finally, Support Vector Machine (SVM), Light Gradient Boosting Machine (LightGBM), Categorical Boosting (CatBoost), and ANN were used to evaluate the diagnostic ability of all spectral features to assess disease severity levels. The results showed that the NSISB had the highest association with peanut southern blight (R2 = 0.817), exceeding the other spectral features. Compared to the other three models, CatBoost demonstrated superior accuracy, with an overall accuracy (OA) and Kappa coefficient of 84.18% and 78.31%, respectively. The findings of this study can serve as a reference for estimating the severity levels of peanut southern blight using ground-based hyperspectral data.

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Bioactivity of the DMI fungicide mefentrifluconazole against Sclerotium rolfsii, the causal agent of peanut southern blight

Cited by 14 publications

References 31 publications

The Sensitivity and Resistance Risk Assessment of Coniella vitis to Mefentrifluconazole

The Sensitivity and Resistance Risk Assessment of Coniella vitis to Mefentrifluconazole

Selection and Validation of Reference Genes for Reverse-Transcription Quantitative PCR Analysis in Sclerotium rolfsii

Development and Evaluation of a New Spectral Index to Detect Peanut Southern Blight Disease Using Canopy Hyperspectral Reflectance

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