Published November 5, 2021
| Version v1
Journal article
Open
Closed microbial communities self-organize to persistently cycle carbon
Creators
- 1. University of Illinois at Urbana-Champaign
- 2. University of Chicago
Description
Cycles of nutrients (N, P, etc.) and resources (C) are a defining emergent feature of ecosystems. Cycling plays a critical role in determining ecosystem structure at all scales, from microbial communities to the entire biosphere. Stable cycles are essential for ecosystem persistence because they allow resources and nutrients to be regenerated. Therefore, a central problem in ecology is understanding how ecosystems are organized to sustain robust cycles. Addressing this problem quantitatively has proved challenging because of the difficulties associated with manipulating ecosystem structure while measuring cycling. We address this problem using closed microbial ecosystems (CES), hermetically sealed microbial consortia provided with only light. We develop a technique for quantifying carbon cycling in hermetically sealed microbial communities and show that CES composed of an alga and diverse bacterial consortia self-organize to robustly cycle carbon for months. Comparing replicates of diverse CES, we find that carbon cycling does not depend strongly on the taxonomy of the bacteria present. Moreover, despite strong taxonomic differences, self-organized CES exhibit a conserved set of metabolic capabilities. Therefore, an emergent carbon cycle enforces metabolic but not taxonomic constraints on ecosystem organization. Our study helps establish closedmicrobial communities as model ecosystems to study emergent function and persistence in replicate systems while controlling community composition and the environment. © 2021 National Academy of Sciences. All rights reserved.
Data availability
All study data are included in this article and/or supporting information. Additional data are available in Illinois Data Bank (https://doi.org/10.13012/B2IDB-8967648_V1).
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Additional details
Identifiers
- DOI
- 10.1073/pnas.2013564118
- Other
- oai:uchicago.tind.io:9621
Funding
- NSF
- PHY 0822613
- NSF
- PHY 1430124
- NSF
- MCB 2117477