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Cited by 297

The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.

Exploring the avian gut microbiota: current trends and future directions

Open access
Waite, David W., Taylor, Michael W.·2015·Frontiers in Microbiology

Abstract

Birds represent a diverse and evolutionarily successful lineage, occupying a wide range of niches throughout the world. Like all vertebrates, avians harbor diverse communities of microorganisms within their guts, which collectively fulfill crucial roles in providing the host with nutrition and protection from pathogens. Across the field of avian microbiology knowledge is extremely uneven, with several species accounting for an overwhelming majority of all microbiological investigations. These include agriculturally important birds, such as chickens and turkeys, as well as birds of evolutionary or conservation interest. In our previous study we attempted the first meta-analysis of the avian gut microbiota, using 16S rRNA gene sequences obtained from a range of publicly available data sets. We have now extended our analysis to explore the microbiology of several key species in detail, to consider the avian microbiota within the context of what is known about other vertebrates, and to identify key areas of interest in avian microbiology for future study.

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Metadata

Authors
Waite, D. W., & Taylor, M. W.
Venue
Frontiers in Microbiology
Published
2015-07-03
Volume
6
Pages
673-673
ISSN
1664-302X (ISSN-L)
OpenAlex
W1595756852
Cited by
297
References
104
FWCI
8.36
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Exploring the avian gut microbiota: current trends and future directions. https://app.cochat.ai/papers/10.3389/fmicb.2015.00673
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Waite, D. W., & Taylor, M. W. (2015). Exploring the avian gut microbiota: current trends and future directions. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2015.00673

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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.