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Cited by 375

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Intestinal microbiota in fishes: what's known and what's not

Open access
Clements, Kendall D., Angert, Esther R., Montgomery, W. Linn, Choat, J. Howard·2014·Molecular Ecology

Abstract

High‐throughput sequencing approaches have enabled characterizations of the community composition of numerous gut microbial communities, which in turn has enhanced interest in their diversity and functional relationships in different groups of vertebrates. Although fishes represent the greatest taxonomic and ecological diversity of vertebrates, our understanding of their gut microbiota and its functional significance has lagged well behind that of terrestrial vertebrates. In order to highlight emerging issues, we provide an overview of research on fish gut microbiotas and the biology of their hosts. We conclude that microbial community composition must be viewed within an informed context of host ecology and physiology, and that this is of particular importance with respect to research planning and sampling design.

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Crossref · 10.1111/mec.12699

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Metadata

Authors
Clements, K. D., Angert, E. R., Montgomery, W. L., & Choat, J. H.
Venue
Molecular Ecology
Publisher
Wiley
Published
2014-03-17
Volume
23
Issue
8
Pages
1891-1898
ISSN
  • 0962-1083 (ISSN-L)
  • 1365-294X
OpenAlex
W2140848380
Cited by
375
References
89
FWCI
7.78
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Intestinal microbiota in fishes: what's known and what's not. https://app.cochat.ai/papers/10.1111/mec.12699
The paper
Clements, K. D., Angert, E. R., Montgomery, W. L., & Choat, J. H. (2014). Intestinal microbiota in fishes: what's known and what's not. Molecular Ecology. https://doi.org/10.1111/mec.12699

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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.