Evidence map›Paper›PMID 38321922›Full record

ArticleJournal of the Royal Society, Interface2024

A synthetic microbial Daisyworld: planetary regulation in the test tube.

Victor Maull, Jordi Pla Mauri, Nuria Conde Pueyo, Ricard Solé

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Origins of life: the possible and the actual.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. 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

4 authors.

Victor MaullInstitució Catalana de Recerca i Estudis Avançats, Psg Lluis Companys, Barcelona, Spain.
Jordi Pla MauriInstitució Catalana de Recerca i Estudis Avançats, Psg Lluis Companys, Barcelona, Spain.
Nuria Conde PueyoComplex Systems Lab, Universitat Pompeu Fabra, Barcelona 08003, Spain.
Ricard SoléInstitució Catalana de Recerca i Estudis Avançats, Psg Lluis Companys, Barcelona, Spain.ORCID 0000-0001-6974-1008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The idea that the Earth system self-regulates in a habitable state was proposed in the 1970s by James Lovelock, who conjectured that life plays a self-regulatory role on a planetary-level scale. A formal approach to such hypothesis was presented afterwards under a toy model known as the Daisyworld. The model showed how such life-geosphere homeostasis was an emergent property of the system, where two species with different properties adjusted their populations to the changing external environment. So far, this ideal world exists only as a mathematical or computational construct, but it would be desirable to have a real, biological implementation of Lovelock's picture beyond our one biosphere. Inspired by the exploration of synthetic ecosystems using genetic engineering and recent cell factory designs, here we propose a possible implementation for a microbial Daisyworld. This includes: (i) an explicit proposal for an engineered design of a two-strain consortia, using pH as the external, abiotic control parameter and (ii) several theoretical and computational case studies including two, three and multiple species assemblies. The special alternative implementations and their implications in other synthetic biology scenarios, including ecosystem engineering, are outlined.

Indexed as

Earth, PlanetEcosystemHomeostasisMicrobial ConsortiaSynthetic BiologyDaisyworldEarth systems sciencehomeostasissynthetic biologyterraformation

Identifiers

PMID38321922
PMCPMC10847846

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.