Evidence map›Paper›PMID 34740965›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Closed microbial communities self-organize to persistently cycle carbon.

Luis Miguel de Jesús Astacioa, Kaumudi H Prabhakara, Zeqian Li, Harry Mickalide, Seppe Kuehn

Abstract readEvaluation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Applications of the MicroalgaeLife (Basel, Switzerland) · 2024
    Review
  11. Closed ecosystems extract energy through self-organized nutrient cycles.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. Article
  14. Evolutionary repeatability of emergent properties of ecological communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  15. Review
  16. Plants (Basel, Switzerland) · 2023
    Review
  17. Article
  18. Review
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Luis Miguel de Jesús AstacioaDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL 61801.ORCID 0000-0002-1947-9184
Kaumudi H PrabhakaraCenter for the Physics of Evolving Systems, University of Chicago, Chicago, IL 60637.
Zeqian LiCenter for the Physics of Living Cells, University of Illinois at Urbana-Champaign, Urbana, IL 61801.
Harry MickalideCenter for the Physics of Living Cells, University of Illinois at Urbana-Champaign, Urbana, IL 61801.ORCID 0000-0002-5936-500X
Seppe KuehnCenter for the Physics of Evolving Systems, University of Chicago, Chicago, IL 60637; seppe.kuehn@gmail.com.ORCID 0000-0002-4130-6845

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 closed microbial communities as model ecosystems to study emergent function and persistence in replicate systems while controlling community composition and the environment.

Indexed as

Carbon CycleMicrobiotaBacteriaChlamydomonas reinhardtiiEcologycarbon cyclingclosed ecosystemsfunctional redundancymicrobial communities

Identifiers

PMID34740965
PMCPMC8609437

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.