Okurowska, K., Karunakaran, E., Al-Farttoosy, A. et al. (2 more authors) (Cover date: Jan 2021) Adapting the algal microbiome for growth on domestic landfill leachate. Bioresource Technology, 319. 124246. ISSN 0960-8524
Abstract
We aimed to improve algal growth rate on leachate by optimising the algal microbiome. An algal-bacterial consortium was enriched from landfill leachate and subjected to 24 months of adaptive laboratory evolution, increasing the growth rate of the dominant algal strain, Chlorella vulgaris, almost three-fold to 0.2 d^−1. A dramatic reduction in nitrate production suggested a shift in biological utilisation of ammoniacal-N, supported by molecular 16S rRNA taxonomic analyses, where Nitrosomonas numbers were not detected in the adapted consortium. A PICRUSt approach predicted metagenomic functional content and revealed a high number of sequences belonging to bioremediation pathways, including degradation of aromatic compounds, benzoate and naphthalene, as well as pathways known to be involved in algal-bacterial symbiosis. This study enhances our understanding of beneficial mechanisms in algal-bacterial associations in complex effluents, and ultimately enables the bottom-up design of optimised algal microbiomes for exploitation within industry.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Landfill leachate; Algae microbiome; Adaptive laboratory evolution; PICRUSt |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield) |
Funding Information: | Funder Grant number Biotechnology and Biological Sciences Research Council N/A Natural Environment Research Council NE/P016820/1 Engineering and Physical Science Research Council EP/S020705/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Nov 2020 11:59 |
Last Modified: | 04 Nov 2020 11:59 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.biortech.2020.124246 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:167387 |