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. 2007 Feb 20;104(8):2761-6.
doi: 10.1073/pnas.0610671104. Epub 2007 Feb 12.

"VSports最新版本" Multiscale responses of microbial life to spatial distance and environmental heterogeneity in a patchy ecosystem

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Multiscale responses of microbial life to spatial distance and environmental heterogeneity in a patchy ecosystem

"VSports手机版" Alban Ramette et al. Proc Natl Acad Sci U S A. .

Abstract

Spatial distance (SD) and environmental heterogeneity (EH) are currently thought to represent major factors shaping genetic variation and population abundance, but their relative importance is still poorly understood. Because EH varies at multiple spatial scales, so too are microbial variables expected to vary. The determination of SD x EH interactions at multiple scales is, however, not a trivial exercise, especially when one examines their effects on microbial abundance and genomic similarities. Here we assessed those interactions at all scales perceptible in a patchy environment composed of known plant species and of heterogeneous soil physical and chemical parameters. For free-living, soil-borne Burkholderia ambifaria, genomic similarities responded to most of the spatial scales that the experimental sampling scheme could reveal, despite limited dispersal of the individuals. Species abundance and community composition were, however, responding to much smaller scales more consistent with local responses to EH. Our results suggest that whole-genome similarities may reflect the simultaneous effects of both SD and EH in microbial populations, but the pure effects of each factor only contributed to < 2% of the total genetic variation. The large amount of unexplained variation that remains after considering most environmental, spatial, and biological interactions is then posited to be the result of noise introduced by unmeasured environmental and spatial variability, sampling effects, and neutral ecological drift VSports手机版. .

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Relationships between whole-genome similarity, EH, and SD at the intraspecific level. (A and B) Pairwise whole-genome genetic distances as determined by ERIC-PCR analyses were plotted against SD for 266 B. ambifaria isolates (A), and against environmental distance (B), as represented by soil physical and chemical parameters. (C) The latter were standardized before calculating Euclidean distances between samples. Environmental (Euclidean) distances between samples were plotted against SD to detect spatial patterns in EH. In all cases, the relationships were not linear, and Mantel tests based on Spearman coefficient were used to detect the presence of monotonic, positive relationships. All correlations were highly significant (P < 0.001), as determined by 999 Monte Carlo permutation tests. A local-fitting algorithm (loess function, dotted line) was used in each plot to help visualize the nonlinearity of the relationships.
Fig. 2.
Fig. 2.
Variation partitioning of microbial abundance and diversity into soil environment (E), plant presence (P) and spatial (S) components at different taxonomic resolutions. (A) General outline. Each diagram represents a given biological variation partitioned into the relative effects of each factor or combination of factors, where geometric areas are proportional to the respective percentages of explained variation. The edges of the triangle depict the variation explained by each factor alone (i.e., when removing the variation because of other factors). Percentages of variation explained by interactions of two or all factors are indicated on the sides and in the middle of the triangles, respectively. Variables selected in each category were as follows: (B) Soil environmental (E) variables: Mg; spatial scale variables (S): 12. (C) E: Ca, OM, sand, clay; S: 7, 12. (D) E: none; S: 6, 9, 12. (E) E: pH; S: 11, 12. (F) E: pH, OM, P, K, Ca, Mg, sand, clay; S: trend (x, y), 2, 5, 7, 10, 11, 12, 14. The plant (P) factor always consisted of the four types of plants (corn, wheat, alfalfa, and soybean).

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