The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Stochastic distribution of small soil eukaryotes resulting from high dispersal and drift in a local environment
Open accessAbstract
A central challenge in ecology is to understand the relative importance of processes that shape diversity patterns. Compared with aboveground biota, little is known about spatial patterns and processes in soil organisms. Here we examine the spatial structure of communities of small soil eukaryotes to elucidate the underlying stochastic and deterministic processes in the absence of environmental gradients at a local scale. Specifically, we focus on the fine-scale spatial autocorrelation of prominent taxonomic and functional groups of eukaryotic microbes. We collected 123 soil samples in a nested design at distances ranging from 0.01 to 64 m from three boreal forest sites and used 454 pyrosequencing analysis of Internal Transcribed Spacer for detecting Operational Taxonomic Units of major eukaryotic groups simultaneously. Among the main taxonomic groups, we found significant but weak spatial variability only in the communities of Fungi and Rhizaria. Within Fungi, ectomycorrhizas and pathogens exhibited stronger spatial structure compared with saprotrophs and corresponded to vegetation. For the groups with significant spatial structure, autocorrelation occurred at a very fine scale (<2 m). Both dispersal limitation and environmental selection had a weak effect on communities as reflected in negative or null deviation of communities, which was also supported by multivariate analysis, that is, environment, spatial processes and their shared effects explained on average <10% of variance. Taken together, these results indicate a random distribution of soil eukaryotes with respect to space and environment in the absence of environmental gradients at the local scale, reflecting the dominant role of drift and homogenizing dispersal.
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Cites
Cd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175
Lauber, C. L., Hamady, M., Knight, R., & Fierer, N. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.00335-09 · Cited by 4,063
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
Chen, W., Ren, K., Isabwe, A., Chen, H., Liu, M., & Yang, J. (2019) · Microbiome · doi:10.1186/s40168-019-0749-8 · Cited by 804
Forest microbiome: diversity, complexity and dynamics
Baldrian, P. (2016) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuw040 · Cited by 710
Fang, G.-Y., Chai, L.-J., Zhong, X.-Z., & Jiang, Y.-J. (2021) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2021.109070 · Cited by 91
Metadata
- Authors
- Bahram, M., Kohout, P., Anslan, S., Harend, H., Abarenkov, K., & Tedersoo, L.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-09-22
- Volume
- 10
- Issue
- 4
- Pages
- 885-896
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W1710807188
- Cited by
- 356
- References
- 2
- FWCI
- 22.23
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Bahram, M., Kohout, P., Anslan, S., Harend, H., Abarenkov, K., & Tedersoo, L. (2016). Stochastic distribution of small soil eukaryotes resulting from high dispersal and drift in a local environment. The ISME Journal. https://doi.org/10.1038/ismej.2015.164
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