The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
A meta-analysis of changes in bacterial and archaeal communities with time
Open accessAbstract
Ecologists have long studied the temporal dynamics of plant and animal communities with much less attention paid to the temporal dynamics exhibited by microbial communities. As a result, we do not know if overarching temporal trends exist for microbial communities or if changes in microbial communities are generally predictable with time. Using microbial time series assessed via high-throughput sequencing, we conducted a meta-analysis of temporal dynamics in microbial communities, including 76 sites representing air, aquatic, soil, brewery wastewater treatment, human- and plant-associated microbial biomes. We found that temporal variability in both within- and between-community diversity was consistent among microbial communities from similar environments. Community structure changed systematically with time in less than half of the cases, and the highest rates of change were observed within ranges of 1 day to 1 month for all communities examined. Microbial communities exhibited species–time relationships (STRs), which describe the accumulation of new taxa to a community, similar to those observed previously for plant and animal communities, suggesting that STRs are remarkably consistent across a broad range of taxa. These results highlight that a continued integration of microbial ecology into the broader field of ecology will provide new insight into the temporal patterns of microbial and ‘macro’-bial communities alike.
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Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Self-citationUniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Self-citationThe diversity and biogeography of soil bacterial communities
Fierer, N., & Jackson, R. B. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507535103 · Cited by 5,711
Self-citationBacterial Community Variation in Human Body Habitats Across Space and Time
Costello, E. K., Lauber, C. L., Hamady, M., Fierer, N., Gordon, J. I., & Knight, R. (2009) · Science · doi:10.1126/science.1177486 · Cited by 3,231
Self-citationSuccession of microbial consortia in the developing infant gut microbiome
Koenig, J. E., Spor, A., Scalfone, N., Fricker, A. D., Stombaugh, J., Knight, R., Angenent, L. T., & Ley, R. E. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000081107 · Cited by 2,540
Self-citationDethlefsen, L., Huse, S., Sogin, M. L., & Relman, D. A. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060280 · Cited by 2,361
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Caporaso, J. G., Lauber, C. L., Costello, E. K., Berg-Lyons, D., Gonzalez, A., Stombaugh, J., Knights, D., Gajer, P., Ravel, J., Fierer, N., et al. (2011) · Genome Biology · doi:10.1186/gb-2011-12-5-r50 · Cited by 1,138
Self-citationThe contribution of species richness and composition to bacterial services
Bell, T., Newman, J. A., Silverman, B. W., Turner, S. L., & Lilley, A. K. (2005) · Nature · doi:10.1038/nature03891 · Cited by 950
Biodiversity may regulate the temporal variability of ecological systems
Cottingham, K. L., Brown, B. L., & Lennon, J. T. (2001) · Ecology Letters · doi:10.1046/j.1461-0248.2001.00189.x · Cited by 493
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Flores, G. E., Caporaso, J. G., Henley, J. B., Rideout, J. R., Domogala, D., Chase, J., Leff, J. W., Vázquez-Baeza, Y., Gonzalez, A., Knight, R., et al. (2014) · Genome Biology · doi:10.1186/s13059-014-0531-y · Cited by 446
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Metadata
- Authors
- Shade, A., Gregory Caporaso, J., Handelsman, J., Knight, R., & Fierer, N.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-04-11
- Volume
- 7
- Issue
- 8
- Pages
- 1493-1506
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W2073810410
- Cited by
- 399
- References
- 9
- FWCI
- 4.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Shade, A., Gregory Caporaso, J., Handelsman, J., Knight, R., & Fierer, N. (2013). A meta-analysis of changes in bacterial and archaeal communities with time. The ISME Journal. https://doi.org/10.1038/ismej.2013.54
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