Detalle de: Efficient production and characterization of the novel and highly active antifungal protein AfpB from Penicillium digitatum
| Title | Efficient production and characterization of the novel and highly active antifungal protein AfpB from Penicillium digitatum |
| Abstract |
Filamentous fungi encode distinct antifungal proteins (AFPs) that offer great potential to develop new antifungals. Fungi are considered immune to their own AFPs as occurs in Penicillium chrysogenum , the producer of the well-known PAF. The Penicillium digitatum genome encodes only one afp gene ( afpB ), and the corresponding protein (AfpB) belongs to the class B phylogenetic cluster. Previous attempts to detect AfpB were not successful. In this work, immunodetection confirmed the absence of AfpB accumulation in wild type and previous recombinant constitutive P . digitatum strains. Biotechnological production and secretion of AfpB were achieved in P . digitatum with the use of a P . chrysogenum -based expression cassette and in the yeast Pichia pastoris with the α-factor signal peptide. Both strategies allowed proper protein folding, efficient production and single-step purification of AfpB from culture supernatants. AfpB showed antifungal activity higher than the P . chrysogenum PAF against the majority of the fungi tested, especially against Penicillium species and including P . digitatum , which was highly sensitive to the self-AfpB. Spectroscopic data suggest that native folding is not required for activity. AfpB also showed notable ability to withstand protease and thermal degradation and no haemolytic activity, making AfpB a promising candidate for the control of pathogenic fungi. |
| Apa Reference | Garrigues, S., Gandía, M., Popa, C., Borics, A., Marx, F., Coca, M., Marcos, J. F., & Manzanares, P. (2017). Efficient production and characterization of the novel and highly active antifungal protein AfpB from Penicillium digitatum. Scientific Reports, 7(1). 10.1038/s41598-017-15277-w |
| Doi | 10.1038/s41598-017-15277-w |
| Publication Date | 7 Nov 2017 |
| Publication Type | Article |
| Researcher | Jose F. Marcos |
| Ontology | Phylogenetic Analysis, Structure prediction |
| Research Groups | Fungal Biofactories |
| Tools |
