| Literature DB >> 33383067 |
Silvia Altoé Falqueto1, Bruno Faria Pitaluga1, Janaína Rosa de Sousa1, Sabrina Ketrin Targanski1, Mateus Gandra Campos2, Tiago Antônio de Oliveira Mendes2, Gilvan Ferreira da Silva3, Dulce Helena Siqueira Silva4, Marcos Antônio Soares5.
Abstract
The growing spread of dengue, chikungunya and Zika viruses demand the development of new and environmentally safe control methods for their vector, the mosquito Aedes aegypti. This study aims to find novel larvicidal agents from mutualistic (endophytic and rhizospheric) or edaphic bacteria that have no action against non-target organisms. Eleven out of the 254 bacterial strains tested were able to kill Ae. aegypti larvae. Larvicidal activity did not depend on presence of cells, since culture supernatants or crude lipopeptide extracts (CLEs) killed the larvae. Bacillus safensis BacI67 and Bacillus paranthracis C21 supernatants were the best performing supernatants, displaying the lowest lethal concentrations (LC50 = 31.11 µL/mL and 45.84 µL/mL, respectively). Bacillus velezensis B64a and Bacillus velezensis B15 produced the best performing CLEs (LC50 = 0.11 mg/mL and 0.12 mg/mL, respectively). Mass spectrometry analysis of CLEs detected a mixture of surfactins, iturins, and fengycins. The samples tested were weakly- or non-toxic to mammalian cells (RAW 264.7 macrophages and VERO cells) and non-target organisms (Caenorhabditis elegans, Galleria mellonella, Scenedesmus obliquus, and Tetrahymena pyriformis) - especially B. velezensis B15 CLE. The biosynthetic gene clusters related to secondary metabolism identified by whole genome sequencing of the four best performing bacteria strains revealed clusters for bacteriocin, beta-lactone, lanthipeptide, non-ribosomal peptide synthetases, polyketide synthases (PKS), siderophores, T3PKS, type 1 PKS-like, terpenes, thiopeptides, and trans-AT-PKS. Purification of lipopeptides may clarify the mechanisms by which these extracts kill Ae. aegypti larvae.Entities:
Keywords: Bacillus paranthracis; Bacillus safensis; Bacillus velezensis; Genome mining; Lipopeptide
Year: 2020 PMID: 33383067 DOI: 10.1016/j.jip.2020.107525
Source DB: PubMed Journal: J Invertebr Pathol ISSN: 0022-2011 Impact factor: 2.841