Prospecting biotechnologically-relevant monooxygenases from cold sediment metagenomes: an In silico approach
dc.citation.title | Marine Drugs | es |
dc.citation.volume | 15(4) | es |
dc.creator | Musumeci, Matías A. | |
dc.creator | Lozada, Mariana | |
dc.creator | Rial, Daniela V. | |
dc.creator | Mac Cormack, Walter P. | |
dc.creator | Jansson, Janet K. | |
dc.creator | Sjöling, Sara | |
dc.creator | Carroll, JoLynn | |
dc.creator | Dionisi, Hebe | |
dc.date.accessioned | 2021-02-22T17:06:28Z | |
dc.date.available | 2021-02-22T17:06:28Z | |
dc.date.issued | 2017-04-09 | |
dc.description | 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. | es |
dc.description | 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 | |
dc.description.fil | Fil: Musumeci, Matías A. Centro para el Estudio de Sistemas Marinos (CESIMAR - CONICET). Laboratorio de Microbiología Ambiental; Argentina. | es |
dc.description.fil | Fil: Lozada, Mariana. Centro para el Estudio de Sistemas Marinos (CESIMAR - CONICET). Laboratorio de Microbiología Ambiental; Argentina. | es |
dc.description.fil | Fil: Rial, Daniela V. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Ciencias Biológicas. Área Biología Molecular; Argentina. | es |
dc.description.fil | Fil: Mac Cormack, Walter P. Instituto Antártico Argentino; Argentina. | es |
dc.description.fil | Fil: Mac Cormack, Walter P. Instituto de Nanobiotecnología (NANOBIOTEC – CONICET); Argentina. | es |
dc.description.fil | Fil: Jansson, Janet K. Pacific Northwest National Laboratory. Earth and Biological Sciences Directorate; United States. | es |
dc.description.fil | Fil: Sjöling, Sara. Södertörn University. School of Natural Sciences and Environmental Studies; Sweden. | es |
dc.description.fil | Fil: Carroll, JoLynn. High North Research Centre for Climate and the Environment (The Fram Centre). Akvaplan-niva; Norway. | es |
dc.description.fil | Fil: Carroll, JoLynn. UiT The Arctic University of Norway. Department of Geosciences. Research Centre for Arctic Petroleum Exploration (ARCEx); Norway. | es |
dc.description.fil | Fil: Dionisi, Hebe. Centro para el Estudio de Sistemas Marinos (CESIMAR - CONICET). Laboratorio de Microbiología Ambiental; Argentina. | es |
dc.description.sponsorship | Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT): PICT 2015 n° 2102 | es |
dc.description.sponsorship | Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET): PIP n° 11220130100174, n° 11220110101156 y n° 11220150100934CO | es |
dc.description.sponsorship | Universidad Nacional de Rosario (UNR): BIO287y BIO451 | es |
dc.description.sponsorship | Universidad de Buenos Aires (UBA): 2014–2017 20020130100569BA | es |
dc.description.sponsorship | European Commission through the Marie Curie Action IRSES; IMCONet (International Research Staff Exchange Scheme; Interdisciplinary Modelling of Climate Change in Coastal Western Antarctica—Network for Staff Exchange and Training): Project No. 318718 | es |
dc.description.sponsorship | Instituto Antártico Argentino - Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT): PICTO 2010 No. 0124 | es |
dc.description.sponsorship | Pacific Northwest National Laboratory: Contract DE-AC05-76RLO1830 | es |
dc.description.sponsorship | Research Council of Norway: Grant No. 228107 | es |
dc.format | application/pdf | |
dc.format.extent | 1-19 | es |
dc.identifier.issn | 1660-3397 | es |
dc.identifier.uri | http://hdl.handle.net/2133/19665 | |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.publisherversion | https://doi.org/10.3390/md15040114 | es |
dc.relation.publisherversion | https://www.mdpi.com/1660-3397/15/4/114 | es |
dc.rights | openAccess | es |
dc.rights.holder | Universidad Nacional de Rosario | es |
dc.rights.holder | Musumeci, Matías A. | es |
dc.rights.holder | Lozada, Mariana | es |
dc.rights.holder | Rial, Daniela V. | es |
dc.rights.holder | Mac Cormack, Walter P. | es |
dc.rights.holder | Jansson, Janet K. | es |
dc.rights.holder | Sjöling, Sara | es |
dc.rights.holder | Carroll, JoLynn | es |
dc.rights.holder | Dionisi, Hebe | es |
dc.rights.text | Attribution 4.0 International (CC BY 4.0) | es |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Bacterial Cytochrome P450 | es |
dc.subject | Baeyer–Villiger Monooxygenases | es |
dc.subject | Bioprospecting | es |
dc.subject | Enzymes | es |
dc.subject | Phylogeny | es |
dc.subject | Molecular Modeling | es |
dc.title | Prospecting biotechnologically-relevant monooxygenases from cold sediment metagenomes: an In silico approach | es |
dc.type | article | |
dc.type | artículo | |
dc.type | publishedVersion | |
dc.type.collection | articulo | |
dc.type.version | publishedVersion | es |