Prospecting biotechnologically-relevant monooxygenases from cold sediment metagenomes: an In silico approach
Archivos
Fecha
2017-04-09
Título de la revista
ISSN de la revista
Título del volumen
Editor
MDPI
Resumen
Descripción
The goal of this work was to identify sequences encoding monooxygenase biocatalysts
with novel features by in silico mining an assembled metagenomic dataset of polar and subpolar
marine sediments. The targeted enzyme sequences were Baeyer–Villiger and bacterial cytochrome
P450 monooxygenases (CYP153). These enzymes have wide-ranging applications, from the synthesis
of steroids, antibiotics, mycotoxins and pheromones to the synthesis of monomers for polymerization
and anticancer precursors, due to their extraordinary enantio-, regio-, and chemo- selectivity that are
valuable features for organic synthesis. Phylogenetic analyses were used to select the most divergent
sequences affiliated to these enzyme families among the 264 putative monooxygenases recovered from
the ~14 million protein-coding sequences in the assembled metagenome dataset. Three-dimensional
structure modeling and docking analysis suggested features useful in biotechnological applications
in five metagenomic sequences, such as wide substrate range, novel substrate specificity or
regioselectivity. Further analysis revealed structural features associated with psychrophilic enzymes,
such as broader substrate accessibility, larger catalytic pockets or low domain interactions, suggesting
that they could be applied in biooxidations at room or low temperatures, saving costs inherent to
energy consumption. This work allowed the identification of putative enzyme candidates with
promising features from metagenomes, providing a suitable starting point for further developments.
Para citar este articulo: Musumeci, M.A.; Lozada, M.; Rial, D.V.; Mac Cormack, W.P.; Jansson, J.K.; Sjöling, S.; Carroll, J.; Dionisi, H.M. Prospecting Biotechnologically-Relevant Monooxygenases from Cold Sediment Metagenomes: An In Silico Approach. Mar. Drugs 2017, 15, 114. https://doi.org/10.3390/md15040114
Para citar este articulo: Musumeci, M.A.; Lozada, M.; Rial, D.V.; Mac Cormack, W.P.; Jansson, J.K.; Sjöling, S.; Carroll, J.; Dionisi, H.M. Prospecting Biotechnologically-Relevant Monooxygenases from Cold Sediment Metagenomes: An In Silico Approach. Mar. Drugs 2017, 15, 114. https://doi.org/10.3390/md15040114
Palabras clave
Bacterial Cytochrome P450, Baeyer–Villiger Monooxygenases, Bioprospecting, Enzymes, Phylogeny, Molecular Modeling