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Erschienen in: BioControl 2/2020

07.12.2019

Evaluation of host–pathogen interactions for selection of entomopathogenic fungal isolates against Oligonychus afrasiaticus (McGregor)

verfasst von: Abid Hussain, Muhammad Rizwan-ul-Haq, Ahmed Mohammed AlJabr, Hassan Al-Ayedh

Erschienen in: BioControl | Ausgabe 2/2020

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Abstract

Understanding the interaction between pathogen virulence and host responses is very important for selecting virulent isolates of entomopathogenic fungi that control an economically important pest, such as the date palm dust mite, Oligonychus afrasiaticus (McGregor). In this study, the virulence of Metarhizium anisopliae (ARSEF 8453 and ARSEF 9374), Beauveria bassiana (ARSEF 6884 and ARSEF 8037), and Isaria fumosorosea (ARSEF 9602 and ARSEF 7284) was evaluated by virulence-regulating traits and host detoxification-related enzymatic analysis. The results revealed significant differences in virulence among all tested isolates of entomopathogenic fungi. The most virulent isolate of B. bassiana ARSEF 6884 (LT50 = 6.3 days; LC50 = 2.7 × 106 conidia ml−1) observed in the current study revealed the highest activity of cuticle-degrading protease Pr1 (2.12 ± 0.10 μmol NA ml−1 min−1) compared with the least virulent isolate of I. fumosorosea ARSEF 7284 (LT50 = 13.1 days; LC50 = 7.9 × 107 conidia ml−1). Virulent isolates successfully infected the target host and revealed lower activities of antioxidant (catalase and superoxide dismutase) and detoxification (glutathione S-transferases) enzymes at late stage infection. In conclusion, isolates ARSEF 6884 and ARSEF 9374 were found to be promising for the development of an environmentally friendly management strategy to control date palm dust mites.

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Metadaten
Titel
Evaluation of host–pathogen interactions for selection of entomopathogenic fungal isolates against Oligonychus afrasiaticus (McGregor)
verfasst von
Abid Hussain
Muhammad Rizwan-ul-Haq
Ahmed Mohammed AlJabr
Hassan Al-Ayedh
Publikationsdatum
07.12.2019
Verlag
Springer Netherlands
Erschienen in
BioControl / Ausgabe 2/2020
Print ISSN: 1386-6141
Elektronische ISSN: 1573-8248
DOI
https://doi.org/10.1007/s10526-019-09987-5

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