The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Diversity is the question, not the answer
Open accessAbstract
Local diversity (within-sample or alpha diversity) is often implicated as a cause of success or failure of a microbial community. However, the relationships between diversity and emergent properties of a community, such as its stability, productivity or invasibility, are much more nuanced. I argue that diversity without context provides limited insights into the mechanisms underpinning community patterns. I provide examples from traditional and microbial ecology to discuss common complications and assumptions about within-sample diversity that may prevent us from digging deeper into the more specific mechanisms underpinning community outcomes. I suggest that measurement of diversity should serve as a starting point for further inquiry of ecological mechanisms rather than an ‘answer’ to community outcomes.
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Cites
UPARSE: highly accurate OTU sequences from microbial amplicon reads
Edgar, R. C. (2013) · Nature Methods · doi:10.1038/nmeth.2604 · Cited by 16,707
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Measuring biological diversity
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A new view of the tree of life
Hug, L. A., Baker, B. J., Anantharaman, K., Brown, C. T., Probst, A. J., Castelle, C. J., Butterfield, C. N., Hernsdorf, A. W., Amano, Y., Ise, K., et al. (2016) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.48 · Cited by 2,039
Bayesian community-wide culture-independent microbial source tracking
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Ecology and exploration of the rare biosphere
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Scaling laws predict global microbial diversity
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Cited by
The gut microbiota in anxiety and depression—A systematic review
Simpson, C. A., Diaz-Arteche, C., Eliby, D., Schwartz, O. S., Simmons, J. G., & Cowan, C. S. M. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101943 · Cited by 912
Perturbations in Gut Microbiota Composition in Psychiatric Disorders: A Review and Meta-analysis
Nikolova, V. L., Smith, M. R. B., Hall, L. J., Cleare, A. J., Stone, J. M., & Young, A. H. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2021.2573 · Cited by 731
Understanding and exploiting plant beneficial microbes
Finkel, O. M., Castrillo, G., Herrera Paredes, S., Salas González, I., & Dangl, J. L. (2017) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2017.04.018 · Cited by 721
Hooks, K. B., & O’Malley, M. A. (2017) · mBio · doi:10.1128/mbio.01492-17 · Cited by 382
A predictive index for health status using species-level gut microbiome profiling
Gupta, V. K., Kim, M., Bakshi, U., Cunningham, K. Y., Davis, J. M., Lazaridis, K. N., Nelson, H., Chia, N., & Sung, J. (2020) · Nature Communications · doi:10.1038/s41467-020-18476-8 · Cited by 338
Metadata
- Authors
- Shade, A.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-09-16
- Volume
- 11
- Issue
- 1
- Pages
- 1-6
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W2511739150
- Cited by
- 466
- References
- 31
- FWCI
- 29.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
