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Cited by 230

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Interactions in the microbiome: communities of organisms and communities of genes

Open access
Boon, Eva, Meehan, Conor J., Whidden, Chris, Wong, Dennis H.-J., Langille, Morgan G.I., Beiko, Robert G.·2014·FEMS Microbiology Reviews

Abstract

A central challenge in microbial community ecology is the delineation of appropriate units of biodiversity, which can be taxonomic, phylogenetic, or functional in nature. The term 'community' is applied ambiguously; in some cases, the term refers simply to a set of observed entities, while in other cases, it requires that these entities interact with one another. Microorganisms can rapidly gain and lose genes, potentially decoupling community roles from taxonomic and phylogenetic groupings. Trait-based approaches offer a useful alternative, but many traits can be defined based on gene functions, metabolic modules, and genomic properties, and the optimal set of traits to choose is often not obvious. An analysis that considers taxon assignment and traits in concert may be ideal, with the strengths of each approach offsetting the weaknesses of the other. Individual genes also merit consideration as entities in an ecological analysis, with characteristics such as diversity, turnover, and interactions modeled using genes rather than organisms as entities. We identify some promising avenues of research that are likely to yield a deeper understanding of microbial communities that shift from observation-based questions of 'Who is there?' and 'What are they doing?' to the mechanistically driven question of 'How will they respond?'

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Metadata

Authors
Boon, E., Meehan, C. J., Whidden, C., Wong, D. H.-J., Langille, M. G. I., & Beiko, R. G.
Venue
FEMS Microbiology Reviews
Published
2014-01
Volume
38
Issue
1
Pages
90-118
ISSN
  • 0168-6445 (ISSN-L)
  • 1574-6976
OpenAlex
W2171517785
Cited by
230
References
38
FWCI
14.39
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Interactions in the microbiome: communities of organisms and communities of genes. https://app.cochat.ai/papers/10.1111/1574-6976.12035
The paper
Boon, E., Meehan, C. J., Whidden, C., Wong, D. H.-J., Langille, M. G. I., & Beiko, R. G. (2014). Interactions in the microbiome: communities of organisms and communities of genes. FEMS Microbiology Reviews. https://doi.org/10.1111/1574-6976.12035

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.