Evidence map›Paper›PMID 38127977›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Closed ecosystems extract energy through self-organized nutrient cycles.

Akshit Goyal, Avi I Flamholz, Alexander P Petroff, Arvind Murugan

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Ecosystems as adaptive living circuits.bioRxiv : the preprint server for biology · 2025
    Article
  3. Review
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

4 authors.

Akshit GoyalDepartment of Physics, Massachusetts Insitute of Technology, Cambridge, MA 02139.ORCID 0000-0002-9425-8269
Avi I FlamholzDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125.ORCID 0000-0002-9278-5479
Alexander P PetroffDepartment of Physics, Clark University, Worcester, MA 01610.
Arvind MuruganDepartment of Physics, University of Chicago, Chicago, IL 60637.

Funding

Revealing mechanisms of specificity and adaptability in molecular information processing through data-driven modelsR35GM151211 · NIGMS · UNIVERSITY OF CHICAGO · PI Arvind Murugan · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM151211
6 · The paper itself

Abstract

Our planet is a self-sustaining ecosystem powered by light energy from the sun, but roughly closed to matter. Many ecosystems on Earth are also approximately closed to matter and recycle nutrients by self-organizing stable nutrient cycles, e.g., microbial mats, lakes, open ocean gyres. However, existing ecological models do not exhibit the self-organization and dynamical stability widely observed in such planetary-scale ecosystems. Here, we advance a conceptual model that explains the self-organization, stability, and emergent features of closed microbial ecosystems. Our model incorporates the bioenergetics of metabolism into an ecological framework. By studying this model, we uncover a crucial thermodynamic feedback loop that enables metabolically diverse communities to almost always stabilize nutrient cycles. Surprisingly, highly diverse communities self-organize to extract [Formula: see text]10[Formula: see text] of the maximum extractable energy, or [Formula: see text]100 fold more than randomized communities. Further, with increasing diversity, distinct ecosystems show strongly correlated fluxes through nutrient cycles. However, as the driving force from light increases, the fluxes of nutrient cycles become more variable and species-dependent. Our results highlight that self-organization promotes the efficiency and stability of complex ecosystems at extracting energy from the environment, even in the absence of any centralized coordination.

Indexed as

Ecological Systems, ClosedEcosystemModels, TheoreticalNutrientsThermodynamicsNutrientsadaptationbiogeochemical cyclesecosystemsredox metabolismself-organization

Identifiers

PMID38127977
PMCPMC10756307

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.