ReviewJournal of bacteriology2017
Teleosts as Model Organisms To Understand Host-Microbe Interactions.
Review in Journal of bacteriology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 55 citations in OpenAlex.
- From bystander to key player: unveiling the gut microbiota's role in mediating cyanobacterial toxicity in aquatic animals.FEMS microbiology ecology · 2026Article
- Exploring phylosymbiosis in the skin microbiome of coral reef fish: synergistic effects of environmental and host-specific factors.ISME communications · 2026Article
- Histidine alleviates copper-induced intestinal inflammation through oxidative stress-mediated mitochondrial damage and the Hif1α-Tnfα/Il1β pathway.Frontiers in immunology · 2026Article
- Signatures and likely sources of the male pregnancy microbiome in wild bay pipefish (Syngnathus leptorhynchus).Animal microbiome · 2025Article
- Environmental and population influences on mummichog (Microbiology spectrum · 2025Article
- Age-associated spinal stenosis in the turquoise killifish.iScience · 2023Article
- Differential roles of the fish chitinous membrane in gut barrier immunity and digestive compartments.EMBO reports · 2023Article
- Zebrafish: an efficient vertebrate model for understanding role of gut microbiota.Molecular medicine (Cambridge, Mass.) · 2022Review
- Diversity and structure of sparids external microbiota (Teleostei) and its link with monogenean ectoparasites.Animal microbiome · 2022Article
- Chronic Embryo-Larval Exposure of Fathead Minnows to the Pharmaceutical Drug Metformin: Survival, Growth, and Microbiome Responses.Environmental toxicology and chemistry · 2022Article
- A novel gnotobiotic experimental system for Atlantic salmon (Frontiers in cellular and infection microbiology · 2022Article
- Fish gut-associated bacterial communities in a tropical lagoon (Aghien lagoon, Ivory Coast).Frontiers in microbiology · 2022Article
- Recent Advances with Fish Microsporidia.Experientia supplementum (2012) · 2022Article
- Loss of gut microbial diversity in the cultured, agastric fish, Mexican pike silverside (PeerJ · 2022Article
- Threespine Stickleback: A Model System For Evolutionary Genomics.Annual review of genomics and human genetics · 2021Review
- Comparative Study of Intestinal Microbiota Composition of Six Edible Fish Species.Frontiers in microbiology · 2021Article
- Investigating Both Mucosal Immunity and Microbiota in Response to Gut Enteritis in Yellowtail Kingfish.Microorganisms · 2020Article
- Fish Skin and Gut Microbiomes Show Contrasting Signatures of Host Species and Habitat.Applied and environmental microbiology · 2020Article
- A continuously changing selective context on microbial communities associated with fish, from egg to fork.Evolutionary applications · 2020Article
- QTL Mapping of Intestinal Neutrophil Variation in Threespine Stickleback Reveals Possible Gene Targets Connecting Intestinal Inflammation and Systemic Health.G3 (Bethesda, Md.) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Host-microbe interactions are influenced by complex host genetics and environment. Studies across animal taxa have aided our understanding of how intestinal microbiota influence vertebrate development, disease, and physiology. However, traditional mammalian studies can be limited by the use of isogenic strains, husbandry constraints that result in small sample sizes and limited statistical power, reliance on indirect characterization of gut microbial communities from fecal samples, and concerns of whether observations in artificial conditions are actually reflective of what occurs in the wild. Fish models are able to overcome many of these limitations. The extensive variation in the physiology, ecology, and natural history of fish enriches studies of the evolution and ecology of host-microbe interactions. They share physiological and immunological features common among vertebrates, including humans, and harbor complex gut microbiota, which allows identification of the mechanisms driving microbial community assembly. Their accelerated life cycles and large clutch sizes and the ease of sampling both internal and external microbial communities make them particularly well suited for robust statistical studies of microbial diversity. Gnotobiotic techniques, genetic manipulation of the microbiota and host, and transparent juveniles enable novel insights into mechanisms underlying development of the digestive tract and disease states. Many diseases involve a complex combination of genes which are difficult to manipulate in homogeneous model organisms. By taking advantage of the natural genetic variation found in wild fish populations, as well as of the availability of powerful genetic tools, future studies should be able to identify conserved genes and pathways that contribute to human genetic diseases characterized by dysbiosis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.