| Literature DB >> 26648120 |
Poochit Nonejuie1, Rachelle M Trial1, Gerald L Newton1, Anne Lamsa1, Varahenage Ranmali Perera1, Julieta Aguilar1, Wei-Ting Liu2, Pieter C Dorrestein2,3, Joe Pogliano1, Kit Pogliano1.
Abstract
Although most clinically used antibiotics are derived from natural products, identifying new antibacterial molecules from natural product extracts is difficult due to the complexity of these extracts and the limited tools to correlate biological activity with specific molecules. Here, we show that bacterial cytological profiling (BCP) provides a rapid method for mechanism of action determination on plates and in complex natural product extracts and for activity-guided purification. We prepared an extract from Bacillus subtilis 3610 that killed the Escherichia coli lptD mutant and used BCP to observe two types of bioactivities in the unfractionated extract: inhibition of translation and permeablization of the cytoplasmic membrane. We used BCP to guide purification of the molecules responsible for each activity, identifying the translation inhibitors bacillaene and bacillaene B (glycosylated bacillaene) and demonstrating that two molecules contribute to cell permeabilitization, the bacteriocin subtilosin and the cyclic peptide sporulation killing factor. Our results suggest that bacillaene mediates translational arrest, and show that bacillaene B has a minimum inhibitory concentration 10 × higher than unmodified bacillaene. Finally, we show that BCP can be used to screen strains on an agar plate without the need for extract preparation, greatly saving time and improving throughput. Thus, BCP simplifies the isolation of novel natural products, by identifying strains, crude extracts and fractions with interesting bioactivities even when multiple activities are present, allowing investigators to focus labor-intensive steps on those with desired activities.Entities:
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Year: 2015 PMID: 26648120 PMCID: PMC5367885 DOI: 10.1038/ja.2015.116
Source DB: PubMed Journal: J Antibiot (Tokyo) ISSN: 0021-8820 Impact factor: 2.649