Long-term microbial community structures and dynamics in a commercial RAS during seven production batches of Atlantic salmon fry (Salmo salar)

Dahle SW, Gaarden SI, Buhaug JF, et al. Long-term microbial community structures and dynamics in a commercial RAS during seven production batches of Atlantic salmon fry (Salmo salar). Aquaculture . 2023;565: 739155. The microbiota of recirculating aquaculture systems (RAS) is of major importance for...

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Bibliographic Details
Published in:Aquaculture
Main Authors: Dahle, Stine Wiborg, Gaarden, Sunniva Ingebrigtsen, Buhaug, Julia Fossberg, Netzer, Roman, Attramadal, Kari J. K., Busche, Tobias, Aas, Marianne, Ribicic, Deni, Bakke, Ingrid
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2023
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Online Access:https://pub.uni-bielefeld.de/record/2968518
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Summary:Dahle SW, Gaarden SI, Buhaug JF, et al. Long-term microbial community structures and dynamics in a commercial RAS during seven production batches of Atlantic salmon fry (Salmo salar). Aquaculture . 2023;565: 739155. The microbiota of recirculating aquaculture systems (RAS) is of major importance for optimal fish health. However, the microbial communities in commercial RAS are highly complex and more knowledge is needed to potentially control and maintain beneficial microbial communities for good fish production. In this study we monitored microbial communities in a commercial RAS producing Atlantic salmon fry (Salmo salar) during seven consecutive production batches. The water of rearing tanks and the water sump downstream of the biofilter/upstream of the UV, as well as biofilm of the wall of the rearing tanks and the fixed bed biofilter were analysed using 16S rRNA gene amplicon sequencing to elucidate the spatial-temporal microbial dynamics. The results showed that the microbiota composition of water and biofilm varied within and between the production batches, and that the fallowing periods had a substantial effect on the microbial communities. The correlation of the water and biofilm microbiota to fish presence in the system was confirmed by supervised machine learning. Shifts in the composition of the microbiota were identified in conjunction with variations in organic matter loading both during production and fallowing. In addition, variables like oxygen saturation, biomass, and feed type, showed good correlation with variations in the water microbiota composition. Although microbiota changed at fallowing, the microbiota returned to similar compositions during the production phases and was especially evident for the water microbiota. This indicates that the development of microbiota composition is strongly dictated by the similar selection pressure in the system. Nitrifying communities were dominated by Nitrospira, and the third most abundant Nitrospira OTUs were related to the comammox Nitrospira ...