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

[Image: see text] Understanding the causes of microbiome formation and its relationship to environmental conditions is important to properly maintain recirculating aquaculture systems (RASs). Although RAS has been applied to numerous fish types and environmental conditions (e.g., loading intensity),...

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Autores principales: Yokoyama, Daiki, Suzuki, Sosei, Asakura, Taiga, Kikuchi, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434780/
https://www.ncbi.nlm.nih.gov/pubmed/36061672
http://dx.doi.org/10.1021/acsomega.2c03701
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author Yokoyama, Daiki
Suzuki, Sosei
Asakura, Taiga
Kikuchi, Jun
author_facet Yokoyama, Daiki
Suzuki, Sosei
Asakura, Taiga
Kikuchi, Jun
author_sort Yokoyama, Daiki
collection PubMed
description [Image: see text] Understanding the causes of microbiome formation and its relationship to environmental conditions is important to properly maintain recirculating aquaculture systems (RASs). Although RAS has been applied to numerous fish types and environmental conditions (e.g., loading intensity), the effects of these environmental conditions (i.e., fish type and loading intensity) on microbiome composition are limitedly known. Therefore, we established three experimental aquarium tanks to explore the effects of fish type, loading intensity, filter pore size, and rearing day on microbiome compositions: (1) a tank for Acanthogobius flavimanus, (2) for Girella punctata, and (3) for G. punctata with higher loading intensity. Multivariate analysis showed that the microbial community composition differed among the tanks, indicating that the fish type and loading intensity significantly affected microbiome formation in rearing water. Some microbes, such as Sediminicola and Glaciecola, were detected at a higher loading intensity, indicating that these microbes might be an indicator of eutrophic conditions in the aquacultural systems. In addition, a partial correlation network revealed a connection between microbes and metabolites in the aquarium tanks. Such a microbe–metabolite network might be a clue to control the microbiome by adjusting the molecule abundance in the aquacultural environment.
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spelling pubmed-94347802022-09-02 Microbiome and Metabolome Analyses in Different Closed-Circulation Aquarium Systems and Their Network Visualization Yokoyama, Daiki Suzuki, Sosei Asakura, Taiga Kikuchi, Jun ACS Omega [Image: see text] Understanding the causes of microbiome formation and its relationship to environmental conditions is important to properly maintain recirculating aquaculture systems (RASs). Although RAS has been applied to numerous fish types and environmental conditions (e.g., loading intensity), the effects of these environmental conditions (i.e., fish type and loading intensity) on microbiome composition are limitedly known. Therefore, we established three experimental aquarium tanks to explore the effects of fish type, loading intensity, filter pore size, and rearing day on microbiome compositions: (1) a tank for Acanthogobius flavimanus, (2) for Girella punctata, and (3) for G. punctata with higher loading intensity. Multivariate analysis showed that the microbial community composition differed among the tanks, indicating that the fish type and loading intensity significantly affected microbiome formation in rearing water. Some microbes, such as Sediminicola and Glaciecola, were detected at a higher loading intensity, indicating that these microbes might be an indicator of eutrophic conditions in the aquacultural systems. In addition, a partial correlation network revealed a connection between microbes and metabolites in the aquarium tanks. Such a microbe–metabolite network might be a clue to control the microbiome by adjusting the molecule abundance in the aquacultural environment. American Chemical Society 2022-08-18 /pmc/articles/PMC9434780/ /pubmed/36061672 http://dx.doi.org/10.1021/acsomega.2c03701 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Yokoyama, Daiki
Suzuki, Sosei
Asakura, Taiga
Kikuchi, Jun
Microbiome and Metabolome Analyses in Different Closed-Circulation Aquarium Systems and Their Network Visualization
title Microbiome and Metabolome Analyses in Different Closed-Circulation Aquarium Systems and Their Network Visualization
title_full Microbiome and Metabolome Analyses in Different Closed-Circulation Aquarium Systems and Their Network Visualization
title_fullStr Microbiome and Metabolome Analyses in Different Closed-Circulation Aquarium Systems and Their Network Visualization
title_full_unstemmed Microbiome and Metabolome Analyses in Different Closed-Circulation Aquarium Systems and Their Network Visualization
title_short Microbiome and Metabolome Analyses in Different Closed-Circulation Aquarium Systems and Their Network Visualization
title_sort microbiome and metabolome analyses in different closed-circulation aquarium systems and their network visualization
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434780/
https://www.ncbi.nlm.nih.gov/pubmed/36061672
http://dx.doi.org/10.1021/acsomega.2c03701
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