ArticlemBio2019
Experimental Evidence that Stochasticity Contributes to Bacterial Composition and Functioning in a Decomposer Community.
Article in mBio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Disturbance History Shapes Microbial Community Assembly and Predictability in a Continuous Culture System.Environmental microbiology · 2026Article
- Contrasting adaptations of soil prokaryotes and arbuscular mycorrhizal fungi in saline wildland and non-saline farmland.Fundamental research · 2026Article
- Linking stochastic assembly to functional potential, redundancy, and trait patterns in bacterial communities.Microbiome · 2026Article
- Slow spatial migration can help eradicate cooperative antimicrobial resistance in time-varying environments.PLoS computational biology · 2026Article
- A microbiologist's field guide to community ecology.ISME communications · 2026Review
- Linking nutrient availability and community size to stochasticity in microbial community assembly.FEMS microbiology ecology · 2025Article
- Variation in diet concentration and bacterial inoculum size in larval habitats shapes the performance of the Asian tiger mosquito, Aedes albopictus.Microbiome · 2025Article
- Investigating eco-evolutionary processes of microbial community assembly in the wild using a model leaf litter system.The ISME journal · 2024Article
- Variation inFrontiers in microbiology · 2023Article
- Soil bacterial assemblage responses to wildfire in low elevation southern California habitats.PloS one · 2022Article
- Soil microbiome predictability increases with spatial and taxonomic scale.Nature ecology & evolution · 2021Article
- Adaptive differentiation and rapid evolution of a soil bacterium along a climate gradient.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Considerations for mosquito microbiome research from the Mosquito Microbiome Consortium.Microbiome · 2021Review
- Using Plate-Wash PCR and High-Throughput Sequencing to Measure Cultivated Diversity for Natural Product Discovery Efforts.Frontiers in microbiology · 2021Article
- Stochastic Dispersal Rather Than Deterministic Selection Explains the Spatio-Temporal Distribution of Soil Bacteria in a Temperate Grassland.Frontiers in microbiology · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stochasticity emerging from random differences in replication, death, mutation, and dispersal is thought to alter the composition of ecological communities. However, the importance of stochastic effects remains somewhat speculative because stochasticity is not directly measured but is instead inferred from unexplained variations in beta-diversity. Here, we performed a field experiment to more directly disentangle the role of stochastic processes, environmental selection, and dispersal in the composition and functioning of a natural bacterial decomposer community in the field. To increase our ability to detect these effects, we reduced initial biological and environmental heterogeneity using replicate nylon litterbags in the field. We then applied two treatments: ambient/added precipitation and bacterial and fungal dispersal using "open" litterbags (made from 18.0-μm-pore-size mesh) ("open bacterial dispersal") versus bacterial and fungal dispersal using "closed" litterbags (made from 22.0-μm-pore-size mesh) ("closed bacterial dispersal"). After 5 months, we assayed composition and functioning by the use of three subsamples from each litterbag to disentangle stochastic effects from residual variation. Our results indicate that stochasticity via ecological drift can contribute to beta-diversity in bacterial communities. However, residual variation, which had previously been included in stochasticity estimates, accounted for more than four times as much variability. At the same time, stochastic effects on beta-diversity were not attenuated at the functional level, as measured by genetic functional potential and extracellular enzyme activity. Finally, dispersal was found to interact with precipitation availability to influence the degree to which stochasticity contributed to functional variation. Together, our results demonstrate that the ability to quantify stochastic processes is key to understanding microbial diversity and its role in ecosystem functioning.
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