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Prediction of bioactive compounds activity against wood contaminant fungi using...
Vicente, Henrique; Roseiro, José; Arteiro, José; Neves, José; Caldeira, A. TeresaBiopesticides based on natural endophytic bacteria to control plant diseases are an ecological alternative to the chemical treatments. Bacillus species produce a wide variety of metabolites with biological activity like iturinic lipopeptides. This work addresses the production of biopesticides based on natural endophytic bacteria, isolated from Quercus suber. Artificial Neural Networks were used to maximize the...
Combined use of LC–ESI-MS and antifungal tests for rapid identification of bioa...
Caldeira, A. Teresa; Arteiro, José; Coelho, Ana; Roseiro, JoséThe strain Bacillus amyloliquefaciens CCMI 1051 used in this study has been isolated in our laboratory from healthy Quercus suber in the south of Portugal and shows high levels of antagonistic properties against filamentous fungi that attack forest products industry due to the production of bioactive peptides. A combined use of LC–ESI-MS and antifungal tests allowed a rapid identification of lipopeptides as act...
Production of Bioactive Compounds Against Wood Contaminant Fungi: An Artificial...
Caldeira, A. Teresa; Roseiro, José; Arteiro, José; Neves, José; Vicente, HenriqueA strain of Bacillus amiloliquefaciens was examined for antifungal activity against wood surface contaminant fungi, blue stain fungi and phytopathogenic fungi. The bacterium was grown in liquid culture media in batch or continuous culture, with different dilution rates, in order to study cell development and the production of metabolites with antifungal activity. The bacterium inhibited the growth of fifteen fu...
An artificial intelligence approach to Bacillus amyloliquefaciens CCMI 1051 cul...
Caldeira, A. Teresa; Arteiro, José; Roseiro, José; Neves, José; Vicente, HenriqueThe combined effect of incubation time (IT) and aspartic acid concentration (AA) on the predicted biomass concentration (BC), Bacillus sporulation (BS) and anti-fungal activity of compounds (AFA) produced by Bacillus amyloliquefaciens CCMI 1051, was studied using Artificial Neural Networks (ANNs). The values predicted by ANN were in good agreement with experimental results, and were better than those obtained w...
Production of Bioactive Compounds Against Wood Contaminant Fungi: An Artificial...
Caldeira, A. Teresa; Vicente, Henrique; Arteiro, José; Roseiro, José; Neves, JoséThe alarming problem of some fungal diseases in forest systems makes urgent the discovery of new compounds, with activity against new biological target or with a higher activity against pathogenic agents that cause the common diseases in forest systems. The integration of various disease control strategies, including biological control, should be considered to improve the efficacy and reduce fungicide levels in...
Modelling of Bacillus Amyloliquefaciens CCMI 1051 Cultures Using Artificial Int...
Caldeira, A. Teresa; Vicente, Henrique; Neves, José; Arteiro, José; Roseiro, JoséIt is well known that Bacillus species produce a wide variety of metabolites with interesting biological activities, namely antibiotic compounds as iturinic lipopeptides, being the aspartic acid a favourable nitrogen source for iturinic compounds production by B. subtilis and by B. amyloliquefaciens. The incubation time is another factor to be considered on antibiotic production. On the other hand, Artificial N...
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