The DOI matches its Crossref record; 255 of the 255 references it cites were found in a registry or an index.
A microbial sea of possibilities: current knowledge and prospects for an improved understanding of the fish microbiome
Open accessAbstract
The mucosal surfaces of fish represent an important barrier that supports and regulates a diverse array of microbial assemblages and contributes to the overall health and fitness of the host. For farmed species, knowledge of how these host–microbial systems adapt and respond to various stressors is pivotal for managing health, nutrition and optimizing productivity in aquaculture. While our understanding of these communities and the factors that shape them now suggest that a diverse balanced microbiota is critical for healthy functioning in fish, the mechanisms behind these interactions are still poorly understood. Much of the existing research has focused on characterizing the taxonomic diversity of these assemblages in different fish species, across body surfaces (e.g. skin, gills and gastrointestinal tract), and in response to changing nutrition, health and environmental conditions. However, the specific functional contributions of these communities (or specific members) remain elusive, especially in farmed or diseased fish. Here, we review our current understanding of the microbiota in fish, their interplay and the likely functional involvement with the host. We also seek to address and identify gaps in knowledge and explore the future prospects for improving our understanding of these communities in aquaculture.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
RNA-Seq: a revolutionary tool for transcriptomics
Wang, Z., Gerstein, M., & Snyder, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2484 · Cited by 13,174
Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
Schena, M., Shalon, D., Davis, R. W., & Brown, P. O. (1995) · Science · doi:10.1126/science.270.5235.467 · Cited by 9,609
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
Dietary Modulation of the Human Colonic Microbiota: Introducing the Concept of Prebiotics
Gibson, G. R., & Roberfroid, M. B. (1995) · The Journal of Nutrition · doi:10.1093/jn/125.6.1401 · Cited by 7,667
Host-Bacterial Mutualism in the Human Intestine
Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1104816 · Cited by 5,277
Miller, M. B., & Bassler, B. L. (2001) · Annual Review of Microbiology · doi:10.1146/annurev.micro.55.1.165 · Cited by 5,105
Metagenomic Analysis of the Human Distal Gut Microbiome
Gill, S. R., Pop, M., DeBoy, R. T., Eckburg, P. B., Turnbaugh, P. J., Samuel, B. S., Gordon, J. I., Relman, D. A., Fraser-Liggett, C. M., & Nelson, K. E. (2006) · Science · doi:10.1126/science.1124234 · Cited by 4,699
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058
Bacterial competition: surviving and thriving in the microbial jungle
Hibbing, M. E., Fuqua, C., Parsek, M. R., & Peterson, S. B. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2259 · Cited by 2,689
Metagenomics: Application of Genomics to Uncultured Microorganisms
Handelsman, J. (2004) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.68.4.669-685.2004 · Cited by 2,441
Metadata
- Authors
- Legrand, T. P. R. A., Wynne, J. W., Weyrich, L. S., & Oxley, A. P. A.
- Venue
- Reviews in Aquaculture
- Publisher
- Wiley
- Published
- 2019-08-13
- Volume
- 12
- Issue
- 2
- Pages
- 1101-1134
- ISSN
- 1753-5123 (ISSN-L)
- 1753-5131
- OpenAlex
- W2968718616
- Cited by
- 265
- References
- 255
- FWCI
- 6.97
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A microbial sea of possibilities: current knowledge and prospects for an improved understanding of the fish microbiome. https://app.cochat.ai/papers/10.1111/raq.12375
- The paper
- Legrand, T. P. R. A., Wynne, J. W., Weyrich, L. S., & Oxley, A. P. A. (2020). A microbial sea of possibilities: current knowledge and prospects for an improved understanding of the fish microbiome. Reviews in Aquaculture. https://doi.org/10.1111/raq.12375
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.