# Microbiome as a Tool to Monitor Aquarium Systems

**Authors:** Wisal A. Elmagzoub, Manfred Weidmann, Marwa H. E. Elnaiem, Andrea Dennig, Uwe Waller, Andreas Bernhard, Jörg Junhold, Ahmed Abd El Wahed, Uwe Truyen, Arianna Ceruti

PMC · DOI: 10.3390/vetsci13020125 · Veterinary Sciences · 2026-01-28

## TL;DR

This study tracks bacterial communities in zoo aquariums to understand how they respond to changes and maintain system stability.

## Contribution

The study introduces using DNA sequencing to monitor aquarium microbiomes, revealing their dynamic nature and stable ammonia-processing function.

## Key findings

- Bacterial numbers increased steadily before stabilizing in aquarium systems.
- Each aquarium developed a unique and frequently changing bacterial community.
- Freshwater and saltwater systems showed significantly different microbial compositions.

## Abstract

This study tracked bacterial communities in seven zoo aquarium systems during their first year to understand how they respond to environmental changes. Researchers collected water and surface samples monthly from one saltwater and six freshwater filtration systems, analyzing bacterial populations through both cultivation and DNA sequencing. Key findings showed that bacterial numbers grew steadily before stabilizing. Each aquarium developed its own unique bacterial community that changed frequently over time. Freshwater and saltwater systems had significantly different microbial compositions. Despite various disturbances resulting from maintenance activities and environmental conditions, the systems maintained their ability to process ammonia—a critical function for removing toxic waste. The research demonstrates that while aquarium microbiomes are dynamic and respond to external influences, their core nitrogen-processing capability remains stable. The authors suggest that advanced DNA sequencing methods could help develop better aquarium management protocols by monitoring these bacterial communities, ultimately benefiting fish health and welfare. This represents an important step toward understanding how to maintain stable, healthy aquatic environments in captive settings.

The bacterial microbiome in aquaria plays an essential role in system stability by metabolizing toxic compounds like ammonia. This study monitored microbiome changes in seven zoo aquatic systems during their first year to assess responses to external influences. Over one year (October 2021–October 2022), water and swab samples were collected from one seawater tank and six filtration systems at regular intervals. Bacterial cultivation included total bacterial counts. Metagenomic analysis was performed on samples corresponding to environmental events using Oxford Nanopore sequencing. Taxonomical analysis at the phylum and genus levels used EPI2ME software. Diversity analyses and statistical tests were performed using R. Total bacterial counts increased steadily after inoculation and stabilized by the end of the collection period. Diversity analysis revealed significant differences within and between freshwater and saltwater tanks. Each aquarium exhibited a distinct bacterial community with frequent compositional changes. Despite environmental conditions and maintenance interventions and resulting disturbances that affected the microbiome, the overall nitrifying capacity remained unaffected. Nitrifying taxa emerged as potential indicators for environmental effects. Combined with investigations of ecological function, next-generation sequencing could facilitate the development of aquarium management protocols, ultimately improving fish welfare.

## Linked entities

- **Chemicals:** ammonia (PubChem CID 222)

## Full-text entities

- **Diseases:** injury to (MESH:D014947), behavioral abnormalities (MESH:D001523), LSSs (MESH:D003643), LLS (OMIM:616831)
- **Chemicals:** sulfides (MESH:D013440), oxygen (MESH:D010100), Ammonia (MESH:D000641), salt (MESH:D012492), nitrate (MESH:D009566), NaCl (MESH:D012965), agar (MESH:D000362), nitrogen (MESH:D009584), Ammonium (MESH:D064751), Water (MESH:D014867), ethanol (MESH:D000431), DMSP (MESH:C068078), sulfur (MESH:D013455), MSA (-), nitrite (MESH:D009573), iodine (MESH:D007455), sulfite (MESH:D013447)
- **Species:** Carassius gibelio (gibel carp, species) [taxon 101364], Hydrogenophaga (genus) [taxon 47420], Deinococcota (phylum) [taxon 1297], Osteoglossum bicirrhosum (arawana, species) [taxon 109271], Ovis aries (domestic sheep, species) [taxon 9940], Pseudomonadota (proteobacteria, phylum) [taxon 1224], Selachii (sharks, infraclass) [taxon 119203], Nitrosomonas (genus) [taxon 914], Aeromonas (genus) [taxon 642], Legionella (genus) [taxon 445], Danio rerio (leopard danio, species) [taxon 7955], Methyloversatilis (genus) [taxon 378210], Sphingorhabdus (genus) [taxon 1434046], Homo sapiens (human, species) [taxon 9606], Marinicella (genus) [taxon 863253], Pseudomonas (RNA similarity group I, genus) [taxon 286], Methylotenera (genus) [taxon 359407], Nitrobacter (genus) [taxon 911], Bacillota (clostridial firmicutes, phylum) [taxon 1239], Sulfitobacter (genus) [taxon 60136], Nitrospirota (phylum) [taxon 40117]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12945128/full.md

## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC12945128/full.md

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Source: https://tomesphere.com/paper/PMC12945128