ArticleFrontiers in microbiology2024
Vertical habitat preferences shape the fish gut microbiota in a shallow lake.
Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 11 citations in OpenAlex.
- Bacterial composition of the microbiome of mesopelagic fishes from the Northeast Atlantic.BMC biology · 2026Article
- Integrated Assessment of Shelf Life Evolution in Small Marine Fish from the Northwestern Spanish Coast: Microbial, Chemical, and Sensory Changes During Chilled Storage.Foods (Basel, Switzerland) · 2026Article
- Evaluation of the effect of host-derived Latilactobacillus sakei MG6 on the physiological health and intestinal homeostasis in turbot (Scophthalmus maximus L.).Scientific reports · 2026Article
- Cascade Dams and Seasonality Jointly Structure Gut Microbiome Biogeography inMicroorganisms · 2026Article
- From assembly inference to co-occurrence organization: conservation contexts are associated with gut bacterial variation in the endangeredFrontiers in microbiology · 2026Article
- Behavioural types correlate with the gut microbiome in juvenile wild and reared gilthead seabream.Royal Society open science · 2025Article
- Genomic Characterization of Four Novel Probiotic Strains with Enzymatic Activity and Their Effects on Carp (Animals : an open access journal from MDPI · 2025Article
- Does the Gut Microbiome of the Insular Lizard Gallotia galloti Reflect Variation in Sex, Environment, and Population Genetic Differentiation?Microbial ecology · 2025Article
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8 authors at 1 institution in 1 country.
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Abstract
Understanding the interactions between fish gut microbiota and the aquatic environment is a key issue for understanding aquatic microorganisms. Environmental microorganisms enter fish intestines through feeding, and the amount of invasion varies due to different feeding habits. Traditional fish feeding habitat preferences are determined by fish morphology or behavior. However, little is known about how the feeding behavior of fish relative to the vertical structure in a shallow lake influences gut microbiota. In our study, we used nitrogen isotopes to measure the trophic levels of fish. Then high-throughput sequencing was used to describe the composition of environmental microbiota and fish gut microbiota, and FEAST (fast expectation-maximization for microbial source tracking) method was used to trace the source of fish gut microbiota. We investigated the microbial diversity of fish guts and their habitats in Lake Sanjiao and verified that the sediments indeed played an important role in the assembly of fish gut microbiota. Then, the FEAST analysis indicated that microbiota in water and sediments acted as the primary sources in half of the fish gut microbiota respectively. Furthermore, we classified the vertical habitat preferences using microbial data and significant differences in both composition and function of fish gut microbiota were observed between groups with distinct habitat preferences. The performance of supervised and unsupervised machine learning in classifying fish gut microbiota by habitat preferences actually exceeded classification by fish species taxonomy and fish trophic level. Finally, we described the stability of fish co-occurrence networks with different habitat preferences. Interestingly, the co-occurrence network seemed more stable in pelagic fish than in benthic fish. Our results show that the preferences of fish in the vertical structure of habitat was the main factor affecting their gut microbiota. We advocated the use of microbial interactions between fish gut and their surrounding environment to reflect fish preferences in vertical habitat structure. This approach not only offers a novel perspective for understanding the interactions between fish gut microbiota and environmental factors, but also provides new methods and ideas for studying fish habitat selection in aquatic ecosystems.
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