The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Stochastic and deterministic assembly processes in subsurface microbial communities
Open accessAbstract
A major goal of microbial community ecology is to understand the forces that structure community composition. Deterministic selection by specific environmental factors is sometimes important, but in other cases stochastic or ecologically neutral processes dominate. Lacking is a unified conceptual framework aiming to understand why deterministic processes dominate in some contexts but not others. Here we work toward such a framework. By testing predictions derived from general ecological theory we aim to uncover factors that govern the relative influences of deterministic and stochastic processes. We couple spatiotemporal data on subsurface microbial communities and environmental parameters with metrics and null models of within and between community phylogenetic composition. Testing for phylogenetic signal in organismal niches showed that more closely related taxa have more similar habitat associations. Community phylogenetic analyses further showed that ecologically similar taxa coexist to a greater degree than expected by chance. Environmental filtering thus deterministically governs subsurface microbial community composition. More importantly, the influence of deterministic environmental filtering relative to stochastic factors was maximized at both ends of an environmental variation gradient. A stronger role of stochastic factors was, however, supported through analyses of phylogenetic temporal turnover. Although phylogenetic turnover was on average faster than expected, most pairwise comparisons were not themselves significantly non-random. The relative influence of deterministic environmental filtering over community dynamics was elevated, however, in the most temporally and spatially variable environments. Our results point to general rules governing the relative influences of stochastic and deterministic processes across micro- and macro-organisms.
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Cites
QIIME allows analysis of high-throughput community sequencing data
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“Approaches commonly applied to microbial communities generally lead to inferences regarding whether or not community composition is significantly related to specific environmental factors (for example, Fuhrman et al., 2006; Sun et al., 2006; Bork et al., 2009; Zinger et al., 2011; Gilbert et al., 2012).”
BackgroundSeed arrival and ecological filters interact to assemble high-diversity plant communities
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A general framework for quantitatively assessing ecological stochasticity
Ning, D., Deng, Y., Tiedje, J. M., & Zhou, J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1904623116 · Cited by 1,255
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Martínez, I., Stegen, J. C., Maldonado-Gómez, M. X., Eren, A. M., Siba, P. M., Greenhill, A. R., & Walter, J. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.03.049 · Cited by 576
Self-citationOral cavity contains distinct niches with dynamic microbial communities
Xu, X., He, J., Xue, J., Wang, Y., Li, K., Zhang, K., Guo, Q., Liu, X., Zhou, Y., Cheng, L., et al. (2015) · Environmental Microbiology · doi:10.1111/1462-2920.12502 · Cited by 335
Metadata
- Authors
- Stegen, J. C., Lin, X., Konopka, A. E., & Fredrickson, J. K.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-03-29
- Volume
- 6
- Issue
- 9
- Pages
- 1653-1664
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W2075536793
- Cited by
- 2,064
- References
- 5
- FWCI
- 18.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Stegen, J. C., Lin, X., Konopka, A. E., & Fredrickson, J. K. (2012). Stochastic and deterministic assembly processes in subsurface microbial communities. The ISME Journal. https://doi.org/10.1038/ismej.2012.22
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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