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Secondary Metabolites and Their Bioactivities Produced by Paecilomyces

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Nov 2020Publisher:MDPI AGJournal:Molecules, volume 25, page 5,077 (eissn: 1420-3049,

Authors: Guo-Hong Li; Xin Wang; Ze-Bao Dai;

doi: 10.3390/molecules25215077

pmid: 33139652

pmc: PMC7663581

Secondary Metabolites and Their Bioactivities Produced by Paecilomyces

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Abstract

Paecilomyces, a common saprobic filamentous fungus, not only plays an important role in biological control, but also has applications in medicine, food, and environmental protection. In this paper, 223 secondary metabolites and their bioactivities from 13 known species and various unidentified strains of Paecilomyces are reviewed. Their structures can be described as polyketide, terpenoid, peptide, alkaloid, quinone, pyrone, sterol, and fatty acid. They have been demonstrated varying biological activities, including antimicrobial, antitumor, insecticidal, antiplasmodial, antimalarial, nematicidal, herbicidal, and enzyme-inhibiting. This review provides a comprehensive overview of secondary metabolites and their biological activities from strains of Paecilomyces.

Related Organizations

Yunnan University
Yunnan Open University
China (People's Republic of)
Yunnan University
Yunnan University
Yunnan University
China (People's Republic of)

Keywords

Insecticides, Antiparasitic Agents, bioactivities, Herbicides, <i>paecilomyces</i>, Organic chemistry, Secondary Metabolism, Antineoplastic Agents, Review, structures, QD241-441, fungi, Enzyme Inhibitors, Paecilomyces, metabolites

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	29
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%