Microbiome and Metabolome Analyses in Different Closed-Circulation Aquarium Systems and Their Network Visualization

Area of Science:

• Aquatic Microbiology
• Environmental Science
• Aquaculture Systems

Background:

• Recirculating aquaculture systems (RASs) are crucial for sustainable fish farming.
• Understanding microbiome dynamics is key to maintaining optimal RAS conditions.
• Limited knowledge exists on how fish type and loading intensity affect RAS microbiomes.

Purpose of the Study:

• To investigate the effects of fish type, loading intensity, filter pore size, and rearing duration on microbiome composition in RAS.
• To identify microbial indicators of specific environmental conditions within aquaculture tanks.

Main Methods:

• Experimental setup with three distinct aquarium tanks varying in fish species (Acanthogobius flavimanus, Girella punctata) and loading intensity.
• Multivariate analysis to compare microbial community composition across different tanks.
• Partial correlation network analysis to explore microbe-metabolite interactions.

Main Results:

• Microbial community composition significantly differed based on fish type and loading intensity.
• Specific microbes like Sediminicola and Glaciecola were associated with higher loading intensity, suggesting potential indicators of eutrophic conditions.
• A correlation network highlighted interconnections between microbes and metabolites within the rearing water.

Conclusions:

• Fish type and loading intensity are significant drivers of microbiome formation in RAS rearing water.
• Certain microbial taxa can serve as indicators for eutrophic states in aquaculture.
• The identified microbe-metabolite networks offer potential targets for microbiome control in RAS through metabolite manipulation.