A Two-Species Test of the Hypothesis That Spatial Isolation Influences Microbial Diversity in Soil

Treves, David S.; Xia, Beicheng; Zhou, Jizhong; Tiedje, James M.

doi:10.1007/s00248-002-1044-x

Cited by 174 publications

(133 citation statements)

References 29 publications

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“…In this case, bioaugmentation through introducing desired microorganisms could be an option. However, on the basis of spatial isolation hypothesis (Zhou et al, 2002;Treves et al, 2003), although any introduced strain may be able to successfully colonize a highly diverse community, it would be difficult to achieve dominance (Zhou et al, 2002). Understanding microbial functional potential, the mechanisms shaping microbial community functional structure and spatial distribution patterns will help design appropriate strategies for successful in situ bioremediation through biostimulation and/or bioaugmentation.…”

Section: Discussionmentioning

confidence: 99%

Functional gene diversity of soil microbial communities from five oil-contaminated fields in China

et al. 2010

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To compare microbial functional diversity in different oil-contaminated fields and to know the effects of oil contaminant and environmental factors, soil samples were taken from typical oil-contaminated fields located in five geographic regions of China. GeoChip, a high-throughput functional gene array, was used to evaluate the microbial functional genes involved in contaminant degradation and in other major biogeochemical/metabolic processes. Our results indicated that the overall microbial community structures were distinct in each oil-contaminated field, and samples were clustered by geographic locations. The organic contaminant degradation genes were most abundant in all samples and presented a similar pattern under oil contaminant stress among the five fields. In addition, alkane and aromatic hydrocarbon degradation genes such as monooxygenase and dioxygenase were detected in high abundance in the oil-contaminated fields. Canonical correspondence analysis indicated that the microbial functional patterns were highly correlated to the local environmental variables, such as oil contaminant concentration, nitrogen and phosphorus contents, salt and pH. Finally, a total of 59% of microbial community variation from GeoChip data can be explained by oil contamination, geographic location and soil geochemical parameters. This study provided insights into the in situ microbial functional structures in oil-contaminated fields and discerned the linkages between microbial communities and environmental variables, which is important to the application of bioremediation in oil-contaminated sites.

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Section: Discussionmentioning

confidence: 99%

Functional gene diversity of soil microbial communities from five oil-contaminated fields in China

et al. 2010

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“…The restricted bacterial dispersal and physical isolation deprive competitive species from expressing their physiological advantages and the microlandscapes provide sheltering to less competitive species giving rise to coexistence and diversity under drier conditions [Treves et al, 2003;Long and Or, 2009;Wang and Or, 2012]. The range of hydration conditions supporting competitive growth of species (coexistence) can be determined by the threshold matric potential.…”

Section: Aqueous Phase Fragmentation-comparisons With Percolation Theorymentioning

confidence: 99%

Microbial dispersal in unsaturated porous media: Characteristics of motile bacterial cell motions in unsaturated angular pore networks

Ebrahimi

2014

Water Resources Research

110

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The dispersal rates of self-propelled microorganisms affect their spatial interactions and the ecological functioning of microbial communities. Microbial dispersal rates affect risk of contamination of water resources by soil-borne pathogens, the inoculation of plant roots, or the rates of spoilage of food products. In contrast with the wealth of information on microbial dispersal in water replete systems, very little is known about their dispersal rates in unsaturated porous media. The fragmented aqueous phase occupying complex soil pore spaces suppress motility and limits dispersal ranges in unsaturated soil. The primary objective of this study was to systematically evaluate key factors that shape microbial dispersal in model unsaturated porous media to quantify effects of saturation, pore space geometry, and chemotaxis on characteristics of principles that govern motile microbial dispersion in unsaturated soil. We constructed a novel 3-D angular pore network model (PNM) to mimic aqueous pathways in soil for different hydration conditions; within the PNM, we employed an individual-based model that considers physiological and biophysical properties of motile and chemotactic bacteria. The effects of hydration conditions on first passage times in different pore networks were studied showing that fragmentation of aquatic habitats under dry conditions sharply suppresses nutrient transport and microbial dispersal rates in good agreement with limited experimental data. Chemotactically biased mean travel speed of microbial cells across 9 mm saturated PNM was $3 mm/h decreasing exponentially to 0.45 mm/h for the PNM at matric potential of 215 kPa (for 235 kPa, dispersal practically ceases and the mean travel time to traverse the 9 mm PNM exceeds 1 year). Results indicate that chemotaxis enhances dispersal rates by orders of magnitude relative to random (diffusive) motions. Model predictions considering microbial cell sizes relative to available liquid pathways sizes were in good agreement with experimental results for unsaturated soils. The new modeling platform enables quantitative consideration of key biophysical factors (e.g., pore space heterogeneities and hydration conditions) governing microbial interactions in 3-D soil pore spaces.

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“…Changes in the abiotic environment can directly alter the growth and survival of particular microbial taxa. For example, moisture determines the physical connectivity of the terrestrial matrix, and desiccation stress can result in population extinction and decreased community diversity (Seifert, 1961;Treves et al, 2003;Castro et al, 2010;Sheik et al, 2011). In addition, environmental change might affect the leaf litter community indirectly via changes in the plant community and the quality or quantity of leaf litter (Kominoski et al, 2009;Cleveland et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Temporal variation overshadows the response of leaf litter microbial communities to simulated global change

et al. 2015

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Bacteria and fungi drive the decomposition of dead plant biomass (litter), an important step in the terrestrial carbon cycle. Here we investigate the sensitivity of litter microbial communities to simulated global change (drought and nitrogen addition) in a California annual grassland. Using 16S and 28S rDNA amplicon pyrosequencing, we quantify the response of the bacterial and fungal communities to the treatments and compare these results to background, temporal (seasonal and interannual) variability of the communities. We found that the drought and nitrogen treatments both had significant effects on microbial community composition, explaining 2-6% of total compositional variation. However, microbial composition was even more strongly influenced by seasonal and annual variation (explaining 14-39%). The response of microbial composition to drought varied by season, while the effect of the nitrogen addition treatment was constant through time. These compositional responses were similar in magnitude to those seen in microbial enzyme activities and the surrounding plant community, but did not correspond to a consistent effect on leaf litter decomposition rate. Overall, these patterns indicate that, in this ecosystem, temporal variability in the composition of leaf litter microorganisms largely surpasses that expected in a short-term global change experiment. Thus, as for plant communities, future microbial communities will likely be determined by the interplay between rapid, local background variability and slower, global changes.

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A Two-Species Test of the Hypothesis That Spatial Isolation Influences Microbial Diversity in Soil

Cited by 174 publications

References 29 publications

Functional gene diversity of soil microbial communities from five oil-contaminated fields in China

Functional gene diversity of soil microbial communities from five oil-contaminated fields in China

Microbial dispersal in unsaturated porous media: Characteristics of motile bacterial cell motions in unsaturated angular pore networks

Temporal variation overshadows the response of leaf litter microbial communities to simulated global change

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