The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Estimating and mapping ecological processes influencing microbial community assembly
Open accessAbstract
Ecological community assembly is governed by a combination of (i) selection resulting from among-taxa differences in performance; (ii) dispersal resulting from organismal movement; and (iii) ecological drift resulting from stochastic changes in population sizes. The relative importance and nature of these processes can vary across environments. Selection can be homogeneous or variable, and while dispersal is a rate, we conceptualize extreme dispersal rates as two categories; dispersal limitation results from limited exchange of organisms among communities, and homogenizing dispersal results from high levels of organism exchange. To estimate the influence and spatial variation of each process we extend a recently developed statistical framework, use a simulation model to evaluate the accuracy of the extended framework, and use the framework to examine subsurface microbial communities over two geologic formations. For each subsurface community we estimate the degree to which it is influenced by homogeneous selection, variable selection, dispersal limitation, and homogenizing dispersal. Our analyses revealed that the relative influences of these ecological processes vary substantially across communities even within a geologic formation. We further identify environmental and spatial features associated with each ecological process, which allowed mapping of spatial variation in ecological-process-influences. The resulting maps provide a new lens through which ecological systems can be understood; in the subsurface system investigated here they revealed that the influence of variable selection was associated with the rate at which redox conditions change with subsurface depth.
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Cites
QIIME allows analysis of high-throughput community sequencing data
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
(2023) · doi:10.1126/science · Cited by 6,063
The merging of community ecology and phylogenetic biology
Cavender‐Bares, J., Kozak, K. H., Fine, P. V. A., & Kembel, S. W. (2009) · Ecology Letters · doi:10.1111/j.1461-0248.2009.01314.x · Cited by 2,321
Cited by
Stochastic Community Assembly: Does It Matter in Microbial Ecology?
Zhou, J., & Ning, D. (2017) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00002-17 · Cited by 2,773
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
Jiao, S., Yang, Y., Xu, Y., Zhang, J., & Lu, Y. (2020) · The ISME Journal · doi:10.1038/s41396-019-0522-9 · Cited by 1,052
Chen, W., Ren, K., Isabwe, A., Chen, H., Liu, M., & Yang, J. (2019) · Microbiome · doi:10.1186/s40168-019-0749-8 · Cited by 804
Microplastics affect nitrogen cycling and antibiotic resistance genes transfer of sediment
Zeng, Q., Xiang, J., Yang, C., Wu, J., Li, Y., Sun, Y., Liu, Q., Shi, S., & Gong, Z. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.140193 · Cited by 73
Metadata
- Authors
- Stegen, J. C., Lin, X., Fredrickson, J. K., & Konopka, A. E.
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2015-05-01
- Volume
- 6
- Pages
- 370-370
- ISSN
- 1664-302X (ISSN-L)
- OpenAlex
- W2016557105
- Cited by
- 936
- References
- 3
- FWCI
- 11.95
- Type
- journal article
- Language
- en
- Open access
- gold
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- Stegen, J. C., Lin, X., Fredrickson, J. K., & Konopka, A. E. (2015). Estimating and mapping ecological processes influencing microbial community assembly. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2015.00370
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