Bioprospecting of Diaporthe terebinthifolii LGMF907 for antimicrobial compounds.
Aliandra G de MedeirosDaiani C SaviPrithiba MitraKhaled A ShaabanAmit K JhaJon S ThorsonJürgen RohrChirlei GlienkePublished in: Folia microbiologica (2018)
Antibiotic-resistant bacteria have been observed with increasing frequency over the past decades, driving the search for new drugs and stimulating the interest in natural products sources. Endophytic fungi from medicinal plants represent a great source of novel bioactive compounds useful to pharmaceutical and agronomical purposes. Diaporthe terebinthifolii is an endophytic species isolated from Schinus terebinthifolius, a plant used in popular medicine for several health problems. The strain D. terebinthifolii LGMF907 was previously reported by our group to produce secondary metabolites with biological activity against phytopathogens. Based on these data, strain LGMF907 was chosen for bioprospecting against microorganisms of clinical importance and for characterization of major secondary metabolites. In this study, different culture conditions were evaluated and the biological activity of this strain was expanded. The crude extracts demonstrated high antibacterial activity against Escherichia coli, Micrococcus luteus, Saccharomyces cerevisiae, methicillin-sensitive Staphylococcus aureus, and methicillin-resistant S. aureus. The compounds diaporthin and orthosporin were characterized and also showed activity against the clinical microorganisms evaluated. This study discloses the first isolation of diaporthin and orthosporin from D. terebinthifolii, and revealed the potential of this endophytic fungus to produce secondary metabolites with antimicrobial activity.
Keyphrases
- staphylococcus aureus
- escherichia coli
- ms ms
- saccharomyces cerevisiae
- mental health
- methicillin resistant staphylococcus aureus
- biofilm formation
- healthcare
- electronic health record
- machine learning
- pseudomonas aeruginosa
- social media
- human health
- deep learning
- multidrug resistant
- cystic fibrosis
- health promotion
- data analysis