Sampling fish gut microbiota ‐ A genome‐resolved metagenomic approach

Despite a surge in microbiota-focused studies in teleosts, few have reported functional data on whole metagenomes as it has proven difficult to extract high biomass microbial DNA from fish intestinal samples. The zebrafish is a promising model organism in functional microbiota research, yet studies on the functional landscape of the zebrafish gut microbiota through shotgun based metagenomics remain scarce. Thus, a consensus on an appropriate sampling method accurately representing the zebrafish gut microbiota, or any fish species is lacking. Addressing this, we systematically tested four methods of sampling the zebrafish gut microbiota: collection of faeces from the tank, the whole gut, intestinal content, and the application of ventral pressure to facilitate extrusion of gut material. Additionally, we included water samples as an environmental control to address the potential influence of the environmental microbiota on each sample type. To compare these sampling methods, we employed a combination of genome-resolved metagenomics and 16S metabarcoding techniques. We observed differences among sample types on all levels including sampling, bioinformatic processing, metagenome co-assemblies, generation of metagenome-assembled genomes (MAGs), functional potential, MAG coverage, and population level microdiversity. Comparison to the environmental control highlighted the potential impact of the environmental contamination on data interpretation. While all sample types tested are informative about the zebrafish gut microbiota, the results show that optimal sample type for studying fish microbiomes depends on the specific objectives of the study, and here we provide a guide on what factors to consider for designing functional metagenome-based studies on teleost microbiomes.

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Publication Details

Journal
Ecology and Evolution
Published
2024-09-01
DOI
https://doi.org/10.1002/ece3.70302
Citations
10
Primary Topic
Aquaculture disease management and microbiota
Type
article
Field-Weighted Citation Impact
2.40

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article

Sampling fish gut microbiota ‐ A genome‐resolved metagenomic approach

Søren B. Hansen, Eiríkur Andri Thormar, Morten T. Limborg, Louise von Gersdorff Jørgensen
10 citations
Ecology and Evolution
Aquaculture disease management and microbiota
2.40
article

Sampling fish gut microbiota ‐ A genome‐resolved metagenomic approach

Søren B. Hansen, Eiríkur Andri Thormar, Morten T. Limborg, Louise von Gersdorff Jørgensen
article en
10 citations

Abstract

Despite a surge in microbiota-focused studies in teleosts, few have reported functional data on whole metagenomes as it has proven difficult to extract high biomass microbial DNA from fish intestinal samples. The zebrafish is a promising model organism in functional microbiota research, yet studies on the functional landscape of the zebrafish gut microbiota through shotgun based metagenomics remain scarce. Thus, a consensus on an appropriate sampling method accurately representing the zebrafish gut microbiota, or any fish species is lacking. Addressing this, we systematically tested four methods of sampling the zebrafish gut microbiota: collection of faeces from the tank, the whole gut, intestinal content, and the application of ventral pressure to facilitate extrusion of gut material. Additionally, we included water samples as an environmental control to address the potential influence of the environmental microbiota on each sample type. To compare these sampling methods, we employed a combination of genome-resolved metagenomics and 16S metabarcoding techniques. We observed differences among sample types on all levels including sampling, bioinformatic processing, metagenome co-assemblies, generation of metagenome-assembled genomes (MAGs), functional potential, MAG coverage, and population level microdiversity. Comparison to the environmental control highlighted the potential impact of the environmental contamination on data interpretation. While all sample types tested are informative about the zebrafish gut microbiota, the results show that optimal sample type for studying fish microbiomes depends on the specific objectives of the study, and here we provide a guide on what factors to consider for designing functional metagenome-based studies on teleost microbiomes.

Ecology and EvolutionVol. 14(9)
University of Copenhagen (DK)
Danmarks Grundforskningsfond, Carlsbergfondet
Life below water
Openalex Percentile: Top 11%
Aquaculture disease management and microbiota
2.40
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