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Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
Published on: July 12, 2018
Community state shifts driven by total carbon availability over resource complexity in a synthetic microbial
Anna M Bischofberger1, Johannes Cairns1,2,3,4,5, Inga-Katariina Aapalampi1
1Department of Biology, University of Turku, Turku, Turku 20014, Finland.
Total carbon availability, not resource complexity, significantly shapes microbial community composition and state transitions. Lag phase duration predicts competitive success at extreme carbon levels, guiding microbial community management.
Area of Science:
- Microbial Ecology
- Community Dynamics
- Ecosystem Function
Background:
- Complex microbial communities are vital for ecosystems, yet their assembly and dynamics remain poorly understood.
- A key debate concerns predicting community behavior from pairwise competition and identifying factors leading to alternative stable states.
Purpose of the Study:
- To investigate the impact of total carbon availability and resource complexity on microbial community composition.
- To determine how these resource gradients influence community assembly and stability.
Main Methods:
- A 16-day serial passage experiment using a 16-species synthetic microbial community.
- Cultivation in 96 distinct resource environments varying in carbon availability and complexity.
- Monoculture assays to assess species' growth traits and competitive success.
Main Results:
- Total carbon availability had a greater effect on community composition than resource complexity.
- Distinct community state shifts were observed along the total carbon gradient, but not the resource complexity gradient.
- Lag phase duration was the primary predictor of competitive success at extreme carbon levels, with maximum growth rate becoming more important as lag times converged.
Conclusions:
- Total carbon level is a more critical factor than resource complexity in structuring microbial communities.
- Understanding species' growth traits, particularly lag phase duration, is key to predicting competitive success and managing microbial communities.
- These findings offer insights for manipulating and maintaining complex microbial ecosystems.
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