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Sampling Fish Gut Microbiota - A Genome-resolved Metagenomic Approach

Overview
Journal Ecol Evol
Date 2024 Sep 18
PMID 39290662
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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.

Citing Articles

Sampling fish gut microbiota - A genome-resolved metagenomic approach.

Thormar E, Hansen S, Jorgensen L, Limborg M Ecol Evol. 2024; 14(9):e70302.

PMID: 39290662 PMC: 11407903. DOI: 10.1002/ece3.70302.

References
1.
Davis D, Doerr H, Grzelak A, Busi S, Jasarevic E, Ericsson A . Lactobacillus plantarum attenuates anxiety-related behavior and protects against stress-induced dysbiosis in adult zebrafish. Sci Rep. 2016; 6:33726. PMC: 5027381. DOI: 10.1038/srep33726. View

2.
Francois-Etienne S, Nicolas L, Eric N, Jaqueline C, Pierre-Luc M, Sidki B . Important role of endogenous microbial symbionts of fish gills in the challenging but highly biodiverse Amazonian blackwaters. Nat Commun. 2023; 14(1):3903. PMC: 10326040. DOI: 10.1038/s41467-023-39461-x. View

3.
Yap M, Feehily C, Walsh C, Fenelon M, Murphy E, McAuliffe F . Evaluation of methods for the reduction of contaminating host reads when performing shotgun metagenomic sequencing of the milk microbiome. Sci Rep. 2020; 10(1):21665. PMC: 7728742. DOI: 10.1038/s41598-020-78773-6. View

4.
Riiser E, Haverkamp T, Varadharajan S, Borgan O, Jakobsen K, Jentoft S . Switching on the light: using metagenomic shotgun sequencing to characterize the intestinal microbiome of Atlantic cod. Environ Microbiol. 2019; 21(7):2576-2594. DOI: 10.1111/1462-2920.14652. View

5.
Marcos S, Parejo M, Estonba A, Alberdi A . Recovering High-Quality Host Genomes from Gut Metagenomic Data through Genotype Imputation. Adv Genet (Hoboken). 2023; 3(3):2100065. PMC: 9744478. DOI: 10.1002/ggn2.202100065. View