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. 2016 Apr;10(4):885-96.
doi: 10.1038/ismej.2015.164. Epub 2015 Sep 22.

Stochastic distribution of small soil eukaryotes resulting from high dispersal and drift in a local environment

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VSports在线直播 - Stochastic distribution of small soil eukaryotes resulting from high dispersal and drift in a local environment

Mohammad Bahram et al. ISME J. 2016 Apr.

Abstract

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 VSports手机版. 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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Figures

Figure 1
Figure 1
Schematic map of sampling design in each study site.
Figure 2
Figure 2
Deviations from the null-model expectations in the community turnover of soil biota, measured as the average Raup–Crick index of dissimilarity between samples and its confidence intervals. Positive and negative values are, respectively, higher and lower dissimilarities between samples compared with the null model, with values near −1 (−0.95 to −1) indicating mass effect, values near 1 (0.95 to 1) indicating environmental selection and values between −0.95 and 0.95 indicating drift. The vertical red dashed line indicates zero dissimilarity.
Figure 3
Figure 3
The average distribution range of OTUs across different taxonomic and functional groups within each plot. The range of each OTU was calculated based on the maximum distance between individuals of that OTU. Groups that are indicated with blue colour had significantly higher distribution range than average distance among samples (dotted red line).
Figure 4
Figure 4
Venn diagram of variation partitioning analysis, illustrating the effects of soil, vegetation and spatial variables on the community structure of soil biota. Values show the percentage of variation explained by each fraction, including pure soil effect (a), shared effect between soil and space (b), pure spatial effect (c), shard effect of soil and vegetation (d), shared effect of soil, space and vegetation (e), shared effect of space and vegetation (f) and pure vegetation effect (g). Vegetation includes both plant community and spatial distribution of trees diameters at breast height (that is, neighbourhood component). Note that the fraction of unexplained variation and values <1% are not shown for simplicity.
Figure 5
Figure 5
Spatial structure of the communities at various distance classes as revealed by Mantel and Partial Mantel correlograms in relation to biotic and abiotic factors, including pure spatial (black line and squares) plant community (blue line and squares), soil parameters (red line and squares) and neighbourhood effect (green line and squares). Distance classes were defined as follows (in m): 0–0.5, 0.5–1, 1–2.5, 2.5–3.5, 3.5–5, 5–11, 11–21, 21–41 and 41–64. Filled squares represent significant Mantel r after Bonferroni multiple test correction.

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