Abstract

Enzymatic degradation of algae cell wall carbohydrates by microorganisms is under increasing investigation as marine organic matter gains more value as a sustainable resource. The fate of carbon in the marine ecosystem is in part driven by these degradation processes. In this study, we observe the microbiome dynamics of the macroalga Fucus vesiculosus in 25-day-enrichment cultures resulting in partial degradation of the brown algae. Microbial community analyses revealed the phylum Pseudomonadota as the main bacterial fraction dominated by the genera Marinomonas and Vibrio. More importantly, a metagenome-based Hidden Markov model for specific glycosyl hydrolyses and sulphatases identified Bacteroidota as the phylum with the highest potential for cell wall degradation, contrary to their low abundance. For experimental verification, we cloned, expressed, and biochemically characterised two α-L-fucosidases, FUJM18 and FUJM20. While protein structure predictions suggest the highest similarity to a Bacillota origin, protein–protein blasts solely showed weak similarities to defined Bacteroidota proteins. Both enzymes were remarkably active at elevated temperatures and are the basis for a potential synthetic enzyme cocktail for large-scale algal destruction.

Details

Title
Community dynamics and metagenomic analyses reveal Bacteroidota's role in widespread enzymatic Fucus vesiculosus cell wall degradation
Author
Macdonald, Jascha F. H. 1 ; Pérez-García, Pablo 2 ; Schneider, Yannik K.-H. 3 ; Blümke, Patrick 4 ; Indenbirken, Daniela 4 ; Andersen, Jeanette H. 3 ; Krohn, Ines 1 ; Streit, Wolfgang R. 1 

 University of Hamburg, Department of Microbiology and Biotechnology, Biocenter Klein Flottbek, Institute of Plant Science and Microbiology, Hamburg, Germany (GRID:grid.9026.d) (ISNI:0000 0001 2287 2617) 
 Kiel University, Institute for General Microbiology, Molecular Microbiology, Kiel, Germany (GRID:grid.9764.c) (ISNI:0000 0001 2153 9986) 
 UiT - The Arctic University of Norway, Marbio, Faculty of Biosciences, Fisheries and Economics, Tromsø, Norway (GRID:grid.10919.30) (ISNI:0000 0001 2259 5234) 
 Leibniz Institute of Virology, Technology Platform Next Generation Sequencing, Hamburg, Germany (GRID:grid.418481.0) (ISNI:0000 0001 0665 103X) 
Pages
10237
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3050369142
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.