Metagenomic analysis of a keratin-degrading bacterial consortium provides insight into the keratinolytic mechanisms
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Titre | Metagenomic analysis of a keratin-degrading bacterial consortium provides insight into the keratinolytic mechanisms |
Type de publication | Journal Article |
Year of Publication | 2021 |
Auteurs | Kang D, Huang Y, Nesme J, Herschend J, Jacquiod S, Kot W, Hansen LHestbjerg, Lange L, Sorensen SJ |
Journal | SCIENCE OF THE TOTAL ENVIRONMENT |
Volume | 761 |
Pagination | 143281 |
Date Published | MAR 20 |
Type of Article | Article |
ISSN | 0048-9697 |
Mots-clés | Keratinases, Metabolic cooperation, Metabolic pathways, Metagenome-assembled genomes, Microbial community |
Résumé | Keratin is an insoluble fibrous protein from natural environments, which can be recycled to value-added products by keratinolytic microorganisms. A microbial consortium with efficient keratinolytic activity was previously enriched from soil, but the genetic basis behind its remarkable degradation properties was not investigated yet. To identify the metabolic pathways involved in keratinolysis and clarify the observed synergy among community members, shotgun metagenomic sequencing was performed to reconstruct metagenome-assembled genomes. More than 90% genera of the enriched bacterial consortium were affiliated to Chryseobacterium, Stenotrophomonas, and Pseudomonas. Metabolic potential and putative keratinases were predicted from the metagenomic annotation, providing the genetic basis of keratin degradation. Furthermore, metabolic pathways associated with keratinolytic processes such as amino acid metabolism, disulfide reduction and urea cycle were investigated from seven high-quality metagenome-assembled genomes, revealing the potential metabolic cooperation related to keratin degradation. This knowledge deepens the understanding ofmicrobial keratinolytic mechanisms at play in a complex community, pinpointing the significance of synergistic interactions, which could be further used to optimize industrial keratin degradation processes. (C) 2020 Elsevier B.V. All rights reserved. |
DOI | 10.1016/j.scitotenv.2020.143281 |