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Metabolomics Reveals the Heterogeneous Secretome of Two Entomopathogenic Fungi to Ex Vivo Cultured Insect Tissues

Overview of attention for article published in PLOS ONE, August 2013
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Title
Metabolomics Reveals the Heterogeneous Secretome of Two Entomopathogenic Fungi to Ex Vivo Cultured Insect Tissues
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0070609
Pubmed ID
Authors

Charissa de Bekker, Philip B. Smith, Andrew D. Patterson, David P. Hughes

Abstract

Fungal entomopathogens rely on cellular heterogeneity during the different stages of insect host infection. Their pathogenicity is exhibited through the secretion of secondary metabolites, which implies that the infection life history of this group of environmentally important fungi can be revealed using metabolomics. Here metabolomic analysis in combination with ex vivo insect tissue culturing shows that two generalist isolates of the genus Metarhizium and Beauveria, commonly used as biological pesticides, employ significantly different arrays of secondary metabolites during infectious and saprophytic growth. It also reveals that both fungi exhibit tissue specific strategies by a distinguishable metabolite secretion on the insect tissues tested in this study. In addition to showing the important heterogeneous nature of these two entomopathogens, this study also resulted in the discovery of several novel destruxins and beauverolides that have not been described before, most likely because previous surveys did not use insect tissues as a culturing system. While Beauveria secreted these cyclic depsipeptides when encountering live insect tissues, Metarhizium employed them primarily on dead tissue. This implies that, while these fungi employ comparable strategies when it comes to entomopathogenesis, there are most certainly significant differences at the molecular level that deserve to be studied.

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Geographical breakdown

Country Count As %
United States 4 5%
Malaysia 1 1%
Colombia 1 1%
Unknown 81 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Researcher 14 16%
Student > Master 11 13%
Student > Bachelor 10 11%
Student > Doctoral Student 6 7%
Other 13 15%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 55%
Biochemistry, Genetics and Molecular Biology 15 17%
Chemistry 3 3%
Environmental Science 1 1%
Business, Management and Accounting 1 1%
Other 4 5%
Unknown 15 17%